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A

a(int) - Method in class org.nd4j.graph.FlatProperties

a(FlatArray, int) - Method in class org.nd4j.graph.FlatProperties

ABORTED - org.tensorflow.framework.Code

The operation was aborted, typically due to a concurrency issue like sequencer check failures, transaction aborts, etc.

ABORTED_VALUE - Static variable in enum org.tensorflow.framework.Code

The operation was aborted, typically due to a concurrency issue like sequencer check failures, transaction aborts, etc.

abs(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise absolute value operation: out = abs(x)

abs(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise absolute value operation: out = abs(x)

abs(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise absolute value operation: out = abs(x)

abs(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Abs function

abs(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Abs function

Abs - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Abs(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

Abs(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

Abs(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

Abs(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

ABS_EQUALS - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

ABS_GREATER_OR_EQUAL - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

ABS_GREATER_THAN - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

ABS_LESS_THAN - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

ABS_LESS_THAN_OR_EQUAL - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

absEquals() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if the absolute value of x is equal to 0.0 PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

absEquals(double) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if the absolute value of x is equal to the specified value.

absGreaterThan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is greater than value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

absGreaterThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is greater than value Y in absolute values

absGreaterThanOrEqual() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is greater than or equal to value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

absGreaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is greater than or equal to value Y in absolute values

absLessThan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is less than value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

absLessThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is less than value Y in absolute values

absLessThanOrEqual() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is less than or equal to value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

absLessThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is less than or equal to value Y in absolute values

absoluteDifference(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Absolute difference loss: sum_i abs( label[i] - predictions[i] )

absoluteDifference(String, SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Absolute difference loss: sum_i abs( label[i] - predictions[i] )

absoluteDifference(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Absolute difference loss: sum_i abs( label[i] - predictions[i] )

absoluteDifference(SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Absolute difference loss: sum_i abs( label[i] - predictions[i] )

absoluteDifference(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Absolute difference loss: sum_i abs( label[i] - predictions[i] )

absoluteDifference(INDArray, INDArray, INDArray, LossReduce) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Absolute difference loss: sum_i abs( label[i] - predictions[i] )

AbsoluteDifferenceLoss - Class in org.nd4j.linalg.api.ops.impl.loss

AbsoluteDifferenceLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss

AbsoluteDifferenceLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss

AbsoluteDifferenceLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss

AbsoluteDifferenceLoss(INDArray, INDArray, INDArray, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss

AbsoluteDifferenceLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

AbsoluteDifferenceLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.AbsoluteDifferenceLossBp

AbsoluteDifferenceLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.AbsoluteDifferenceLossBp

AbsoluteEquals - Class in org.nd4j.linalg.indexing.conditions

AbsoluteEquals() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsoluteEquals

Special constructor for pairwise boolean operations.

AbsoluteEquals(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsoluteEquals

AbsoluteEquals(Number, Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsoluteEquals

AbstractDataSetNormalizer<S extends NormalizerStats> - Class in org.nd4j.linalg.dataset.api.preprocessor

AbstractDataSetNormalizer(NormalizerStrategy<S>) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

AbstractDependencyTracker<T,D> - Class in org.nd4j.autodiff.samediff.internal

AbstractDependencyTracker() - Constructor for class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

AbstractMemoryMgr - Class in org.nd4j.autodiff.samediff.internal.memory

AbstractMemoryMgr() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.AbstractMemoryMgr

AbstractMultiDataSetNormalizer<S extends NormalizerStats> - Class in org.nd4j.linalg.dataset.api.preprocessor

AbstractMultiDataSetNormalizer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

AbstractMultiDataSetNormalizer(NormalizerStrategy<S>) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

AbstractNormalizer - Class in org.nd4j.linalg.dataset.api.preprocessor

AbstractNormalizer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractNormalizer

AbstractSession<T,O> - Class in org.nd4j.autodiff.samediff.internal

AbstractSession(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.internal.AbstractSession

AbstractSession.ExecStep - Class in org.nd4j.autodiff.samediff.internal

ExecStep represents a single execution step, for a single op (or variable/constant etc) at a specific frame/iteration

AbstractSession.ExecStepPredicate - Class in org.nd4j.autodiff.samediff.internal

Used in getting the next ExecStep that matches the specified (current) frame/iteration

AbstractSession.ExecType - Enum in org.nd4j.autodiff.samediff.internal

ExecType: Execution type, as used in ExecStep
OP: Operation execution
VARIABLE: Variable "execution", mainly used to trigger ops that depend on the variable
CONSTANT: As per variable
PLACEHOLDER: As per variable
SWITCH_L and SWITCH_R: This is a bit of a hack to account for the fact that only one of the switch branches (left or right) will ever be available; without this, once the switch op is executed, we'll (incorrectly) conclude that *both* branches can be executed
EXEC_START: Start of execution
CONTROL_DEP: Control dependency for op.

AbstractSession.VarId - Class in org.nd4j.autodiff.samediff.internal

VarId: identifies the value of a variable in a specific frame and frame iteration
Note that frames can be nested - which generally represents nested loop situations.
Used for 2 places:
(a) to identify variables that are available for execution
(b) to store results

AbstractStorage<T> - Interface in org.nd4j.linalg.compression

AbsValueGreaterOrEqualsThan - Class in org.nd4j.linalg.indexing.conditions

AbsValueGreaterOrEqualsThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan

Special constructor for pairwise boolean operations.

AbsValueGreaterOrEqualsThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan

AbsValueGreaterThan - Class in org.nd4j.linalg.indexing.conditions

AbsValueGreaterThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan

Special constructor for pairwise boolean operations.

AbsValueGreaterThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan

AbsValueLessOrEqualsThan - Class in org.nd4j.linalg.indexing.conditions

AbsValueLessOrEqualsThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan

Special constructor for pairwise boolean operations.

AbsValueLessOrEqualsThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan

AbsValueLessThan - Class in org.nd4j.linalg.indexing.conditions

AbsValueLessThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessThan

Special constructor for pairwise boolean operations.

AbsValueLessThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessThan

accumulate(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method sums given arrays and stores them to a new array

accumulate(INDArray, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

This method sums given arrays and stores them to a given target array

accumulate(INDArray, INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method sums given arrays and stores them to a given target array

accumulate(INDArray, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method sums given arrays to target

accuracy() - Method in class org.nd4j.evaluation.classification.Evaluation

Accuracy: (TP + TN) / (P + N)

accuracy(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the accuracy for the specified output

ACCURACY - org.nd4j.evaluation.classification.Evaluation.Metric

ACCURACY - org.nd4j.evaluation.classification.EvaluationBinary.Metric

acos(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)

acos(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)

acos(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)

acos(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

acos(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

ACos - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

ACos(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos

ACos(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos

ACos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos

ACos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos

acosh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)

acosh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)

acosh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)

ACosh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

ACosh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh

ACosh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh

ACosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh

ACosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh

ActGradConfig() - Constructor for class org.nd4j.autodiff.validation.GradCheckUtil.ActGradConfig

Activation - Enum in org.nd4j.linalg.activations

ACTIVATION_GRADIENTS - org.nd4j.autodiff.listeners.impl.UIListener.HistogramType

activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseListener

activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in interface org.nd4j.autodiff.listeners.Listener

Called when any activation becomes available.

activationAvailableEvaluations(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

See Listener.activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray)

ActivationCube - Class in org.nd4j.linalg.activations.impl

f(x) = x^3

ActivationCube() - Constructor for class org.nd4j.linalg.activations.impl.ActivationCube

ActivationELU - Class in org.nd4j.linalg.activations.impl

ActivationELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationELU

ActivationELU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationELU

ActivationGELU - Class in org.nd4j.linalg.activations.impl

ActivationGELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationGELU

ActivationGELU(boolean) - Constructor for class org.nd4j.linalg.activations.impl.ActivationGELU

ActivationGradientCheckListener - Class in org.nd4j.autodiff.validation

ActivationGradientCheckListener() - Constructor for class org.nd4j.autodiff.validation.ActivationGradientCheckListener

ActivationHardSigmoid - Class in org.nd4j.linalg.activations.impl

f(x) = min(1, max(0, 0.2*x + 0.5))

ActivationHardSigmoid() - Constructor for class org.nd4j.linalg.activations.impl.ActivationHardSigmoid

ActivationHardTanH - Class in org.nd4j.linalg.activations.impl

⎧ 1, if x > 1 f(x) = ⎨ -1, if x < -1 ⎩ x, otherwise

ActivationHardTanH() - Constructor for class org.nd4j.linalg.activations.impl.ActivationHardTanH

ActivationIdentity - Class in org.nd4j.linalg.activations.impl

f(x) = x

ActivationIdentity() - Constructor for class org.nd4j.linalg.activations.impl.ActivationIdentity

ActivationLReLU - Class in org.nd4j.linalg.activations.impl

Leaky RELU f(x) = max(0, x) + alpha * min(0, x) alpha defaults to 0.01

ActivationLReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationLReLU

ActivationLReLU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationLReLU

ActivationMish - Class in org.nd4j.linalg.activations.impl

https://arxiv.org/ftp/arxiv/papers/1908/1908.08681.pdf

ActivationMish() - Constructor for class org.nd4j.linalg.activations.impl.ActivationMish

ActivationPReLU - Class in org.nd4j.linalg.activations.impl

ActivationPReLU(INDArray, long[]) - Constructor for class org.nd4j.linalg.activations.impl.ActivationPReLU

ActivationRationalTanh - Class in org.nd4j.linalg.activations.impl

ActivationRationalTanh() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRationalTanh

ActivationRectifiedTanh - Class in org.nd4j.linalg.activations.impl

ActivationRectifiedTanh() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh

ActivationReLU - Class in org.nd4j.linalg.activations.impl

f(x) = max(0, x)

ActivationReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationReLU

ActivationReLU(Double, Double, Double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationReLU

ActivationReLU6 - Class in org.nd4j.linalg.activations.impl

ActivationReLU6() - Constructor for class org.nd4j.linalg.activations.impl.ActivationReLU6

ActivationRReLU - Class in org.nd4j.linalg.activations.impl

ActivationRReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRReLU

ActivationRReLU(double, double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationRReLU

ACTIVATIONS - org.nd4j.autodiff.listeners.impl.UIListener.HistogramType

ActivationSELU - Class in org.nd4j.linalg.activations.impl

https://arxiv.org/pdf/1706.02515.pdf

ActivationSELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSELU

ActivationSigmoid - Class in org.nd4j.linalg.activations.impl

f(x) = 1 / (1 + exp(-x))

ActivationSigmoid() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSigmoid

ActivationSoftmax - Class in org.nd4j.linalg.activations.impl

f_i(x) = exp(x_i - shift) / sum_j exp(x_j - shift) where shift = max_i(x_i)

ActivationSoftmax() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftmax

ActivationSoftPlus - Class in org.nd4j.linalg.activations.impl

f(x) = log(1+e^x)

ActivationSoftPlus() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftPlus

ActivationSoftSign - Class in org.nd4j.linalg.activations.impl

f_i(x) = x_i / (1+|x_i|)

ActivationSoftSign() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftSign

ActivationSwish - Class in org.nd4j.linalg.activations.impl

f(x) = x * sigmoid(x)

ActivationSwish() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSwish

ActivationTanH - Class in org.nd4j.linalg.activations.impl

f(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))

ActivationTanH() - Constructor for class org.nd4j.linalg.activations.impl.ActivationTanH

ActivationThresholdedReLU - Class in org.nd4j.linalg.activations.impl

Thresholded RELU f(x) = x for x > theta, f(x) = 0 otherwise.

ActivationThresholdedReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU

ActivationThresholdedReLU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU

AdaBelief - Class in org.nd4j.linalg.learning.config

AdaBelief https://arxiv.org/pdf/2010.07468.pdf

AdaBelief() - Constructor for class org.nd4j.linalg.learning.config.AdaBelief

AdaBelief(double) - Constructor for class org.nd4j.linalg.learning.config.AdaBelief

AdaBelief(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.AdaBelief

AdaBelief(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AdaBelief

AdaBelief.Builder - Class in org.nd4j.linalg.learning.config

AdaBeliefUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

AdaBeliefUpdater - Class in org.nd4j.linalg.learning

AdaBeliefUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaBeliefUpdater

AdaBeliefUpdater(INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaBeliefUpdater

AdaBeliefUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaBeliefUpdater

AdaBeliefUpdater(AdaBelief) - Constructor for class org.nd4j.linalg.learning.AdaBeliefUpdater

AdaDelta - Class in org.nd4j.linalg.learning.config

AdaDelta() - Constructor for class org.nd4j.linalg.learning.config.AdaDelta

AdaDelta.Builder - Class in org.nd4j.linalg.learning.config

AdaDeltaUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

AdaDeltaUpdater - Class in org.nd4j.linalg.learning

AdaDeltaUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaDeltaUpdater

AdaDeltaUpdater(INDArray, INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaDeltaUpdater

AdaDeltaUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaDeltaUpdater

AdaDeltaUpdater(AdaDelta) - Constructor for class org.nd4j.linalg.learning.AdaDeltaUpdater

AdaGrad - Class in org.nd4j.linalg.learning.config

AdaGrad - Class in org.nd4j.linalg.learning.legacy

AdaGrad() - Constructor for class org.nd4j.linalg.learning.config.AdaGrad

AdaGrad(double) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad

AdaGrad(double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad

AdaGrad(double, double) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad

AdaGrad(double, double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad

AdaGrad(int, int) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad

AdaGrad(int, int, double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad

AdaGrad(long[], double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad

AdaGrad(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad

AdaGrad(ISchedule, double) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad

AdaGrad.Builder - Class in org.nd4j.linalg.learning.config

AdaGradUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

AdaGradUpdater - Class in org.nd4j.linalg.learning

AdaGradUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaGradUpdater

AdaGradUpdater(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaGradUpdater

AdaGradUpdater(INDArray, INDArray, INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaGradUpdater

AdaGradUpdater(AdaGrad) - Constructor for class org.nd4j.linalg.learning.AdaGradUpdater

Adam - Class in org.nd4j.linalg.learning.config

The Adam updater.

Adam() - Constructor for class org.nd4j.linalg.learning.config.Adam

Adam(double) - Constructor for class org.nd4j.linalg.learning.config.Adam

Adam(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.Adam

Adam(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Adam

Adam.Builder - Class in org.nd4j.linalg.learning.config

AdaMax - Class in org.nd4j.linalg.learning.config

The AdaMax updater, a variant of Adam.

AdaMax() - Constructor for class org.nd4j.linalg.learning.config.AdaMax

AdaMax(double) - Constructor for class org.nd4j.linalg.learning.config.AdaMax

AdaMax(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.AdaMax

AdaMax(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AdaMax

AdaMax.Builder - Class in org.nd4j.linalg.learning.config

AdaMaxUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

AdaMaxUpdater - Class in org.nd4j.linalg.learning

The AdaMax updater, a variant of Adam.

AdaMaxUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaMaxUpdater

AdaMaxUpdater(INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaMaxUpdater

AdaMaxUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaMaxUpdater

AdaMaxUpdater(AdaMax) - Constructor for class org.nd4j.linalg.learning.AdaMaxUpdater

AdamUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

AdamUpdater - Class in org.nd4j.linalg.learning

The Adam updater.

AdamUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdamUpdater

AdamUpdater(INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdamUpdater

AdamUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdamUpdater

AdamUpdater(Adam) - Constructor for class org.nd4j.linalg.learning.AdamUpdater

add(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.add(String, double)

add(int, double) - Method in class org.nd4j.linalg.schedule.MapSchedule.Builder

Add a single point to the map schedule.

add(int, Double) - Method in class org.nd4j.list.NDArrayList

add(int, X) - Method in class org.nd4j.list.BaseNDArrayList

add(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder

Add rows of data to the statistics

add(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder

Add rows of data to the statistics

add(Double) - Method in class org.nd4j.list.NDArrayList

add(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

add(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Scalar addition (cloning)

add(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

add(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Addition of this ndarray.

add(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Scalar addition: out = this + scalar
Output variable has the same shape as the input variable

add(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Addition operation: elementwise this + x
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.

add(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar add operation, out = in + scalar

add(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise addition operation, out = x + y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

add(K, V) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

add(K, V) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

add(K, V) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

add(Loss) - Method in class org.nd4j.autodiff.listeners.Loss

add(Loss, Loss) - Static method in class org.nd4j.autodiff.listeners.Loss

add(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.add(String, SDVariable)

add(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar add operation, out = in + scalar

add(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise addition operation, out = x + y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

add(ConfusionMatrix<T>) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

Adds the entries from another confusion matrix to this one.

add(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

add(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Element-wise copy addition of two NDArrays

add(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Scalar add operation, out = in + scalar

add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

add(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Element-wise copy addition of two NDArrays

add(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder

Add rows of data to the statistics

add(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise addition operation, out = x + y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

add(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast add op.

add(T, D) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

add(T, T) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

Increments the entry specified by actual and predicted by one.

add(T, T, int) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

Increments the entry specified by actual and predicted by count.

add(X) - Method in class org.nd4j.list.BaseNDArrayList

ADD - org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate.UpdateOp

ADD_NAME - Static variable in class org.nd4j.graph.UIEventType

addA(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

addAll(int, Collection<? extends Double>) - Method in class org.nd4j.list.NDArrayList

addAll(int, Collection<? extends X>) - Method in class org.nd4j.list.BaseNDArrayList

addAll(Collection<? extends Double>) - Method in class org.nd4j.list.NDArrayList

addAll(Collection<? extends X>) - Method in class org.nd4j.list.BaseNDArrayList

addAllAllocationRecords(Iterable<? extends AllocationRecord>) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

addAllArgDescriptor(Iterable<? extends OpNamespace.ArgDescriptor>) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

addAllArgOrder(Iterable<String>) - Method in class org.tensorflow.framework.ApiDef.Builder

List of original in_arg names to specify new argument order.

addAllAssetFileDef(Iterable<? extends AssetFileDef>) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

addAllAttr(Iterable<? extends ApiDef.Attr>) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

addAllAttr(Iterable<? extends OpDef.AttrDef>) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

addAllAttribute(Iterable<? extends Onnx.AttributeProto>) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

addAllAttribute(Iterable<? extends OnnxMl.AttributeProto>) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

addAllAttribute(Iterable<String>) - Method in class onnx.Onnx.FunctionProto.Builder

The attributes of the function.

addAllAttribute(Iterable<String>) - Method in class onnx.OnnxMl.FunctionProto.Builder

The attributes of the function.

addAllAttributes(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

addAllB(Iterable<? extends Boolean>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(bool)"

addAllBadConsumers(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.VersionDef.Builder

Specific consumer versions which are disallowed (e.g.

addAllBoolVal(Iterable<? extends Boolean>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

boolean values

addAllBoolVal(Iterable<? extends Boolean>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_BOOL

addAllBucket(Iterable<? extends Double>) - Method in class org.tensorflow.framework.HistogramProto.Builder

repeated double bucket = 7 [packed = true];

addAllBucketLimit(Iterable<? extends Double>) - Method in class org.tensorflow.framework.HistogramProto.Builder

Parallel arrays encoding the bucket boundaries and the bucket values.

addAllChildren(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

addAllConstNodeInfo(Iterable<? extends GraphTransferConstNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

addAllConstraint(Iterable<? extends KernelDef.AttrConstraint>) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

addAllContainer(Iterable<String>) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

A list of container names.

addAllContainer(Iterable<String>) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

A list of container names, which may be empty.

addAllControlInput(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Ids of the control inputs for this node.

addAllControlOpIds(Iterable<? extends Long>) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

addAllCustomOptimizers(Iterable<? extends RewriterConfig.CustomGraphOptimizer>) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

addAllDcomplexVal(Iterable<? extends Double>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX128.

addAllDebugOps(Iterable<String>) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name(s) of the debugging op(s).

addAllDebugTensorWatchOpts(Iterable<? extends DebugTensorWatch>) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

addAllDebugUrls(Iterable<String>) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

URL(s) for debug targets(s).

addAllDefaultGraphInputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

addAllDefaultGraphOutputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

addAllDeviceAttributes(Iterable<? extends DeviceAttributes>) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

addAllDeviceAttributes(Iterable<? extends DeviceAttributes>) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

addAllDeviceFilters(Iterable<String>) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

When any filters are present, only devices that match the filters will be reset.

addAllDeviceFilters(Iterable<String>) - Method in class org.tensorflow.framework.ConfigProto.Builder

When any filters are present sessions will ignore all devices which do not match the filters.

addAllDeviceName(Iterable<String>) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

repeated string device_name = 4;

addAllDeviceName(Iterable<String>) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

repeated string device_name = 5;

addAllDevicePersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

addAllDevStats(Iterable<? extends DeviceStepStats>) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

addAllDim(Iterable<? extends Onnx.TensorShapeProto.Dimension>) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addAllDim(Iterable<? extends OnnxMl.TensorShapeProto.Dimension>) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addAllDim(Iterable<? extends TensorNamespace.TensorShapeProto.Dimension>) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

addAllDim(Iterable<? extends TensorShapeProto.Dim>) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

addAllDims(Iterable<? extends Long>) - Method in class onnx.Onnx.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

addAllDims(Iterable<? extends Long>) - Method in class onnx.Onnx.TensorProto.Builder

The shape of the tensor.

addAllDims(Iterable<? extends Long>) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

addAllDims(Iterable<? extends Long>) - Method in class onnx.OnnxMl.TensorProto.Builder

The shape of the tensor.

addAllDims(Iterable<? extends Long>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The shape of the tensor.

addAllDoubleData(Iterable<? extends Double>) - Method in class onnx.Onnx.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addAllDoubleData(Iterable<? extends Double>) - Method in class onnx.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addAllDoubleData(Iterable<? extends Double>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addAllDoubleVal(Iterable<? extends Double>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_DOUBLE.

addAllEnableOp(Iterable<String>) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

If present, only perform optimization for these ops.

addAllEndpoint(Iterable<? extends ApiDef.Endpoint>) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

addAllEnqueueOpName(Iterable<String>) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of enqueue operations.

addAllExtent(Iterable<? extends TensorSliceProto.Extent>) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

addAllExternalData(Iterable<? extends Onnx.StringStringEntryProto>) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addAllExternalData(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addAllExternalData(Iterable<? extends TensorNamespace.StringStringEntryProto>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addAllF(Iterable<? extends Float>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(float)"

addAllFeed(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

addAllFeed(Iterable<? extends TensorProto>) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

addAllFeed(Iterable<String>) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Tensors to be fed in future steps.

addAllFeed(Iterable<String>) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be fed in the callable.

addAllFetch(Iterable<? extends TensorProto>) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

addAllFetch(Iterable<String>) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Fetches.

addAllFetch(Iterable<String>) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Fetches.

addAllFetch(Iterable<String>) - Method in class org.tensorflow.framework.CallableOptions.Builder

Fetches.

addAllFetchStepId(Iterable<? extends Long>) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

When set, requests all saved log data pertaining to the step.

addAllFloatData(Iterable<? extends Float>) - Method in class onnx.Onnx.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addAllFloatData(Iterable<? extends Float>) - Method in class onnx.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addAllFloatData(Iterable<? extends Float>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addAllFloats(Iterable<? extends Float>) - Method in class onnx.Onnx.AttributeProto.Builder

list of floats

addAllFloats(Iterable<? extends Float>) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of floats

addAllFloatVal(Iterable<? extends Float>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_FLOAT.

addAllFullShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of the full variable.

addAllFunc(Iterable<? extends NameAttrList>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

addAllFunction(Iterable<? extends FunctionDef>) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

addAllFunctions(Iterable<? extends Onnx.FunctionProto>) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

addAllFunctions(Iterable<? extends Onnx.FunctionProto>) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

addAllFunctions(Iterable<? extends OnnxMl.FunctionProto>) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

addAllGradient(Iterable<? extends GradientDef>) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

addAllGraphInputNodeInfo(Iterable<? extends GraphTransferGraphInputNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

addAllGraphInputNodeName(Iterable<String>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph input node name

addAllGraphKey(Iterable<? extends Long>) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

repeated int64 graph_key = 1;

addAllGraphOutputNodeInfo(Iterable<? extends GraphTransferGraphOutputNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

addAllGraphOutputNodeName(Iterable<String>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph output node name

addAllGraphs(Iterable<? extends Onnx.GraphProto>) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

addAllGraphs(Iterable<? extends OnnxMl.GraphProto>) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

addAllHalfVal(Iterable<? extends Integer>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For half values (tensorflow compatibility)

addAllHalfVal(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_HALF, DT_BFLOAT16.

addAllHostMemoryArg(Iterable<String>) - Method in class org.tensorflow.framework.KernelDef.Builder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

addAllI(Iterable<? extends Long>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(int)"

addAllInArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

addAllInitializationBinding(Iterable<? extends Onnx.StringStringEntryProto>) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addAllInitializationBinding(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addAllInitializer(Iterable<? extends Onnx.TensorProto>) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addAllInitializer(Iterable<? extends OnnxMl.TensorProto>) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addAllInput(Iterable<? extends Onnx.ValueInfoProto>) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

addAllInput(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addAllInput(Iterable<String>) - Method in class onnx.Onnx.FunctionProto.Builder

The inputs and outputs of the function.

addAllInput(Iterable<String>) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

addAllInput(Iterable<String>) - Method in class onnx.OnnxMl.FunctionProto.Builder

The inputs and outputs of the function.

addAllInput(Iterable<String>) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

addAllInput(Iterable<String>) - Method in class org.tensorflow.framework.NodeDef.Builder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

addAllInputArg(Iterable<? extends OpDef.ArgDef>) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

addAllInputBooleanName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputBooleanName = 11;

addAllInputDataTypeName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDataTypeName = 15;

addAllInputDoubleName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDoubleName = 9;

addAllInputFloatName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputFloatName = 7;

addAllInputInfo(Iterable<? extends CostGraphDef.Node.InputInfo>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

addAllInputIntName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputIntName = 5;

addAllInputs(Iterable<? extends EagerServiceOuterClass.RemoteTensorHandle>) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

addAllInputStringAttrName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputStringAttrName = 3;

addAllInputTensorName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputTensorName = 13;

addAllInt32Data(Iterable<? extends Integer>) - Method in class onnx.Onnx.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

addAllInt32Data(Iterable<? extends Integer>) - Method in class onnx.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

addAllInt32Data(Iterable<? extends Integer>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

addAllInt64Data(Iterable<? extends Long>) - Method in class onnx.Onnx.TensorProto.Builder

For int64.

addAllInt64Data(Iterable<? extends Long>) - Method in class onnx.OnnxMl.TensorProto.Builder

For int64.

addAllInt64Data(Iterable<? extends Long>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int64.

addAllInt64Val(Iterable<? extends Long>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT64

addAllInts(Iterable<? extends Long>) - Method in class onnx.Onnx.AttributeProto.Builder

list of ints

addAllInts(Iterable<? extends Long>) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of ints

addAllIntVal(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

addAllJob(Iterable<? extends JobDef>) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

addAllKeys(Iterable<String>) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

Keys for tensors in the VariantTensorDataProto.

addAllLines(Iterable<String>) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Line-by-line content of the source code file.

addAllLink(Iterable<? extends InterconnectLink>) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

addAllLocalDevice(Iterable<? extends DeviceAttributes>) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

addAllLoopEnterNames(Iterable<String>) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for enter tensors.

addAllLoopExitNames(Iterable<String>) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for exit tensors.

addAllMappings(Iterable<? extends MapperNamespace.MapperDeclaration>) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

addAllMaxByteSize(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

repeated int32 max_byte_size = 2;

addAllMemory(Iterable<? extends AllocatorMemoryUsed>) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

addAllMemoryLimitMb(Iterable<? extends Float>) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

Per "virtual" device memory limit, in MB.

addAllMetadataProps(Iterable<? extends Onnx.StringStringEntryProto>) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

addAllMetadataProps(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addAllMetaGraphs(Iterable<? extends MetaGraphDef>) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

addAllName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated string name = 2;

addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

addAllNode(Iterable<? extends Onnx.NodeProto>) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

addAllNode(Iterable<? extends Onnx.NodeProto>) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

addAllNode(Iterable<? extends OnnxMl.NodeProto>) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

addAllNode(Iterable<? extends OnnxMl.NodeProto>) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addAllNode(Iterable<? extends CostGraphDef.Node>) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

addAllNode(Iterable<? extends NodeDef>) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

addAllNodeDef(Iterable<? extends NodeDef>) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

addAllNodeInfo(Iterable<? extends GraphTransferNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

addAllNodeInput(Iterable<? extends GraphTransferNodeInput>) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

addAllNodeInputInfo(Iterable<? extends GraphTransferNodeInputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

addAllNodeOutputInfo(Iterable<? extends GraphTransferNodeOutputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

addAllNodes(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

addAllNodeStats(Iterable<? extends NodeExecStats>) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

addAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

addAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

addAllocationRecords(AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

addAllocationRecords(AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

addAllocationRecordsBuilder() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

addAllocationRecordsBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

addAllOp(Iterable<? extends ApiDef>) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

addAllOp(Iterable<? extends OpDef>) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

addAllOperator(Iterable<? extends OnnxOperators.OperatorProto>) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

addAllOpId(Iterable<? extends Long>) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

Ids to wait on.

addAllOpList(Iterable<? extends OpNamespace.OpDescriptor>) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

addAllOpsetImport(Iterable<? extends Onnx.OperatorSetIdProto>) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addAllOpsetImport(Iterable<? extends Onnx.OperatorSetIdProto>) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

addAllOpsetImport(Iterable<? extends OnnxMl.OperatorSetIdProto>) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addAllOpsetImport(Iterable<? extends OnnxMl.OperatorSetIdProto>) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addAllOptimizers(Iterable<String>) - Method in class org.tensorflow.framework.RewriterConfig.Builder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

addAllOutArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

addAllOutput(Iterable<? extends Onnx.ValueInfoProto>) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addAllOutput(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addAllOutput(Iterable<? extends NodeOutput>) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

addAllOutput(Iterable<String>) - Method in class onnx.Onnx.FunctionProto.Builder

repeated string output = 5;

addAllOutput(Iterable<String>) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

addAllOutput(Iterable<String>) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated string output = 5;

addAllOutput(Iterable<String>) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

addAllOutputArg(Iterable<? extends OpDef.ArgDef>) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

addAllOutputBooleanName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputBooleanName = 12;

addAllOutputDataTypeName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDataTypeName = 16;

addAllOutputDoubleName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDoubleName = 10;

addAllOutputFloatName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputFloatName = 8;

addAllOutputInfo(Iterable<? extends CostGraphDef.Node.OutputInfo>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

addAllOutputIntName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputIntName = 6;

addAllOutputStringAttrName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputStringAttrName = 4;

addAllOutputTensorName(Iterable<String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputTensorName = 14;

addAllPartitionGraph(Iterable<? extends GraphDef>) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

addAllPartitionGraphs(Iterable<? extends GraphDef>) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

addAllPersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder

repeated int64 persistent_tensor_alloc_ids = 5;

addAllQuantizationAnnotation(Iterable<? extends Onnx.TensorAnnotation>) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addAllQuantizationAnnotation(Iterable<? extends OnnxMl.TensorAnnotation>) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addAllQuantParameterTensorNames(Iterable<? extends Onnx.StringStringEntryProto>) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addAllQuantParameterTensorNames(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addAllQueue(Iterable<? extends EagerServiceOuterClass.QueueItem>) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

addAllQueueClosedExceptionTypes(Iterable<? extends Code>) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

addAllQueueClosedExceptionTypesValue(Iterable<Integer>) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

addAllRecv(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

addAllRecvKey(Iterable<String>) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

repeated string recv_key = 4;

addAllReferencedTensor(Iterable<? extends AllocationDescription>) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

addAllRemoteDevice(Iterable<? extends DeviceAttributes>) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

addAllResourceHandleVal(Iterable<? extends ResourceHandleProto>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

addAllRule(Iterable<? extends MapperNamespace.MappingRule>) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

addAllS(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(string)"

addAllScomplexVal(Iterable<? extends Float>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX64.

addAllSend(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

addAllSessionInterOpThreadPool(Iterable<? extends ThreadPoolOptionProto>) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

repeated int64 shape = 3;

addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

repeated int64 shape = 2;

addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

repeated int64 shape = 2;

addAllShape(Iterable<? extends TensorShapeProto>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

addAllSlices(Iterable<? extends TensorSliceProto>) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

addAllSlotVariables(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

addAllSourceFiles(Iterable<? extends DebuggedSourceFile>) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

addAllSparseInitializer(Iterable<? extends Onnx.SparseTensorProto>) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

addAllSparseInitializer(Iterable<? extends OnnxMl.SparseTensorProto>) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addAllSparseTensors(Iterable<? extends Onnx.SparseTensorProto>) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

addAllSparseTensors(Iterable<? extends OnnxMl.SparseTensorProto>) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

addAllStep(Iterable<? extends LabeledStepStats>) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

addAllStepSequence(Iterable<? extends StepSequence>) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.Onnx.TensorProto.Builder

For strings.

addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.OnnxMl.TensorProto.Builder

For strings.

addAllStringData(Iterable<? extends ByteString>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For strings.

addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.Onnx.AttributeProto.Builder

list of UTF-8 strings

addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

addAllStringVal(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_STRING

addAllSubdivOffset(Iterable<? extends Integer>) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

repeated int32 subdiv_offset = 9;

addAllTags(Iterable<String>) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User supplied tag(s) on the meta_graph and included graph_def.

addAllTarget(Iterable<String>) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Target Nodes.

addAllTarget(Iterable<String>) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Target Nodes.

addAllTarget(Iterable<String>) - Method in class org.tensorflow.framework.CallableOptions.Builder

Target Nodes.

addAllTaskName(Iterable<String>) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

task name prefixes of device_names

addAllTensor(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

addAllTensor(Iterable<? extends TensorProto>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

addAllTensorConnection(Iterable<? extends TensorConnection>) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

addAllTensors(Iterable<? extends Onnx.TensorProto>) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

addAllTensors(Iterable<? extends OnnxMl.TensorProto>) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

addAllTensors(Iterable<? extends TensorProto>) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

addAllTrainingInfo(Iterable<? extends Onnx.TrainingInfoProto>) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

addAllTrainingInfo(Iterable<? extends OnnxMl.TrainingInfoProto>) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

addAllTransformerArgs(Iterable<? extends MapperNamespace.TransformerArgs>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

addAllTransformerArgs(Iterable<? extends OpNamespace.ArgDescriptor>) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

addAllType(Iterable<? extends DataType>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

addAllTypeProtos(Iterable<? extends Onnx.TypeProto>) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

addAllTypeProtos(Iterable<? extends OnnxMl.TypeProto>) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

addAllTypeValue(Iterable<Integer>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

addAllUint32Val(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT32

addAllUint64Data(Iterable<? extends Long>) - Method in class onnx.Onnx.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

addAllUint64Data(Iterable<? extends Long>) - Method in class onnx.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

addAllUint64Data(Iterable<? extends Long>) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

addAllUint64Val(Iterable<? extends Long>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT64

addAllUpdateBinding(Iterable<? extends Onnx.StringStringEntryProto>) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addAllUpdateBinding(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addAllValue(Iterable<? extends Float>) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

repeated float value = 1 [packed = true];

addAllValue(Iterable<? extends Long>) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

repeated int64 value = 1 [packed = true];

addAllValue(Iterable<? extends Any>) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

addAllValue(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

repeated bytes value = 1;

addAllValue(Iterable<? extends Summary.Value>) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

addAllValue(Iterable<String>) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

repeated string value = 1;

addAllValueInfo(Iterable<? extends Onnx.ValueInfoProto>) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

addAllValueInfo(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addAllValues(Iterable<String>) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names that have been seen in this context.

addAllVariantVal(Iterable<? extends VariantTensorDataProto>) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

addAllVarOffset(Iterable<? extends Long>) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Offset of this variable into the full variable.

addAllVarShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of this variable.

addAllVirtualDevices(Iterable<? extends GPUOptions.Experimental.VirtualDevices>) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

addArgDescriptor(int, OpNamespace.ArgDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

addArgDescriptor(int, OpNamespace.ArgDescriptor.Builder) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

addArgDescriptor(OpNamespace.ArgDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

addArgDescriptor(OpNamespace.ArgDescriptor.Builder) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

addArgDescriptorBuilder() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

addArgDescriptorBuilder(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

addArgOrder(String) - Method in class org.tensorflow.framework.ApiDef.Builder

List of original in_arg names to specify new argument order.

addArgOrderBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder

List of original in_arg names to specify new argument order.

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.CropAndResize

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.LogPoissonLossBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Moments

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Create

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesAs

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp

addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.NthElement

addArgs() - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

addArgsFor(String[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Adds incoming arguments for the specified differential function to the graph

addArgsFor(SDVariable[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Adds incoming arguments for the specified differential function to the graph

addArgument(int, int, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands

This method allows to pass array to multi-output node in the graph

addArgument(int, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands

This method allows to pass array to the node identified by numeric id

addArgument(String, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands

This method allows to pass array to the node identified by its name

addArgument(String, int, int, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands

This method allows to pass array to multi-output node in the graph

addArgumentInterceptor(ArgumentInterceptor) - Method in class org.nd4j.autodiff.samediff.SameDiff

Add a new argument interceptor to the interceptor stack

addAssetFileDef(int, AssetFileDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

addAssetFileDef(int, AssetFileDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

addAssetFileDef(AssetFileDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

addAssetFileDef(AssetFileDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

addAssetFileDefBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

addAssetFileDefBuilder(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

addAssociatedVariable(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.SequenceItem

addAttr(int, ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

addAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

addAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

addAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

addAttr(ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

addAttr(ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

addAttr(OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

addAttr(OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

addAttrBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

addAttrBuilder() - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

addAttrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

addAttrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

addAttribute(int, Onnx.AttributeProto) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

addAttribute(int, Onnx.AttributeProto.Builder) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

addAttribute(int, OnnxMl.AttributeProto) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttribute(int, OnnxMl.AttributeProto.Builder) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttribute(String) - Method in class onnx.Onnx.FunctionProto.Builder

The attributes of the function.

addAttribute(String) - Method in class onnx.OnnxMl.FunctionProto.Builder

The attributes of the function.

addAttribute(Onnx.AttributeProto) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

addAttribute(Onnx.AttributeProto.Builder) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

addAttribute(OnnxMl.AttributeProto) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttribute(OnnxMl.AttributeProto.Builder) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttributeBuilder() - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

addAttributeBuilder() - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttributeBuilder(int) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

addAttributeBuilder(int) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttributeBytes(ByteString) - Method in class onnx.Onnx.FunctionProto.Builder

The attributes of the function.

addAttributeBytes(ByteString) - Method in class onnx.OnnxMl.FunctionProto.Builder

The attributes of the function.

addAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

addAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

addAttributes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

addAttributes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

addAttributesBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

addAttributesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

addB(boolean) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(bool)"

addB(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

addBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef.Builder

Specific consumer versions which are disallowed (e.g.

addBArgument(boolean...) - Method in interface org.nd4j.linalg.api.ops.CustomOp

addBArgument(boolean...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

addBArgument(boolean...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

addBinlabels(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram

addBinranges(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram

addBitmask(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics

addBooleanArguments(boolean...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of Integer arguments for op, Note that this ACCUMULATES arguments.

addBoolVal(boolean) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

boolean values

addBoolVal(boolean) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_BOOL

AddBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

AddBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.AddBpOp

AddBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.AddBpOp

addBucket(double) - Method in class org.tensorflow.framework.HistogramProto.Builder

repeated double bucket = 7 [packed = true];

addBucketLimit(double) - Method in class org.tensorflow.framework.HistogramProto.Builder

Parallel arrays encoding the bucket boundaries and the bucket values.

addBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray

addByteOrder(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatArray

addChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

addChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

addChildren(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

addChildren(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

addChildrenBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

addChildrenBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

addColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Addition of a column vector (copy)

addConfiguration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

addConfiguration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatInferenceRequest

addConstantValue(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addConstNodeInfo(int, GraphTransferConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

addConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

addConstNodeInfo(GraphTransferConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

addConstNodeInfo(GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

addConstNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

addConstNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

addConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

addConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

addConstraint(KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

addConstraint(KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

addConstraintBuilder() - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

addConstraintBuilder(int) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

addContainer(String) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

A list of container names.

addContainer(String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

A list of container names, which may be empty.

addContainerBytes(ByteString) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

A list of container names.

addContainerBytes(ByteString) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

A list of container names, which may be empty.

addControlDependency(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Add a control dependency for this variable on the specified variable.
Control dependencies can be used to enforce the execution order.

addControlDepFor(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addControlDepForOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp

addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addControlDepsForOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addControlDepsForVar(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

addControlDepsForVar(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Ids of the control inputs for this node.

addControlOpIds(long) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

addCountinf(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics

addCountnan(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics

addCountnegative(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics

addCountpositive(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics

addCountzero(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics

addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

addCustomOptimizers(RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

addCustomOptimizersBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

addCustomOptimizersBuilder(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

addD(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

addDArgument(DataType...) - Method in interface org.nd4j.linalg.api.ops.CustomOp

addDArgument(DataType...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

addDatatype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIVariable

addDcomplexVal(double) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX128.

addDebugOps(String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name(s) of the debugging op(s).

addDebugOpsBytes(ByteString) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name(s) of the debugging op(s).

addDebugTensorWatchOpts(int, DebugTensorWatch) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

addDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

addDebugTensorWatchOpts(DebugTensorWatch) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

addDebugTensorWatchOpts(DebugTensorWatch.Builder) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

addDebugTensorWatchOptsBuilder() - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

addDebugTensorWatchOptsBuilder(int) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

addDebugUrls(String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

URL(s) for debug targets(s).

addDebugUrlsBytes(ByteString) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

URL(s) for debug targets(s).

addDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

addDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

addDefaultGraphInputTensorShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

addDefaultGraphInputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

addDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

addDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

addDefaultGraphOutputTensorShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

addDefaultGraphOutputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

addDependenciesForOp(String, FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Suppose operation X has just been executed.

addDependency(T, D) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

Add a dependency: y depends on x, as in x -> y

addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

addDeviceAttributes(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

addDeviceAttributes(int, DeviceAttributes) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

addDeviceAttributes(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

addDeviceAttributes(int, DeviceAttributes.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

addDeviceAttributes(DeviceAttributes) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

addDeviceAttributes(DeviceAttributes) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

addDeviceAttributes(DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

addDeviceAttributes(DeviceAttributes.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

addDeviceAttributesBuilder() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

addDeviceAttributesBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

addDeviceAttributesBuilder(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

addDeviceAttributesBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

addDeviceFilters(String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

When any filters are present, only devices that match the filters will be reset.

addDeviceFilters(String) - Method in class org.tensorflow.framework.ConfigProto.Builder

When any filters are present sessions will ignore all devices which do not match the filters.

addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

When any filters are present, only devices that match the filters will be reset.

addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.framework.ConfigProto.Builder

When any filters are present sessions will ignore all devices which do not match the filters.

addDeviceName(String) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

repeated string device_name = 4;

addDeviceName(String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

repeated string device_name = 5;

addDeviceNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

repeated string device_name = 4;

addDeviceNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

repeated string device_name = 5;

addDevicePersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

addDevStats(int, DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

addDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

addDevStats(DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

addDevStats(DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

addDevStatsBuilder() - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

addDevStatsBuilder(int) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

addDim(int, Onnx.TensorShapeProto.Dimension) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(int, Onnx.TensorShapeProto.Dimension.Builder) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(int, OnnxMl.TensorShapeProto.Dimension) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(int, OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(int, TensorNamespace.TensorShapeProto.Dimension) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

addDim(int, TensorNamespace.TensorShapeProto.Dimension.Builder) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

addDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

addDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

addDim(Onnx.TensorShapeProto.Dimension) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(Onnx.TensorShapeProto.Dimension.Builder) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(OnnxMl.TensorShapeProto.Dimension) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(TensorNamespace.TensorShapeProto.Dimension) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

addDim(TensorNamespace.TensorShapeProto.Dimension.Builder) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

addDim(TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

addDim(TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

addDimBuilder() - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDimBuilder() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDimBuilder() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

addDimBuilder() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

addDimBuilder(int) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDimBuilder(int) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDimBuilder(int) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

addDimBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

addDimensions(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addDims(long) - Method in class onnx.Onnx.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

addDims(long) - Method in class onnx.Onnx.TensorProto.Builder

The shape of the tensor.

addDims(long) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

addDims(long) - Method in class onnx.OnnxMl.TensorProto.Builder

The shape of the tensor.

addDims(long) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The shape of the tensor.

addDirection(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration

addDoubleData(double) - Method in class onnx.Onnx.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addDoubleData(double) - Method in class onnx.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addDoubleData(double) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addDoubleVal(double) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_DOUBLE.

addDtype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatArray

addDtype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatVariable

addedEdges - Variable in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

addEnableOp(String) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

If present, only perform optimization for these ops.

addEnableOpBytes(ByteString) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

If present, only perform optimization for these ops.

addEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

addEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

addEndpoint(ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

addEndpoint(ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

addEndpointBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

addEndpointBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

addEnqueueOpName(String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of enqueue operations.

addEnqueueOpNameBytes(ByteString) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of enqueue operations.

addEpoch(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent

addEvaluations(boolean, String, int, IEvaluation...) - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations.Builder

Add requested evaluations for a parm/variable, for either training or validation

addEvaluations(boolean, String, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Add requested evaluations for a parm/variable, for either training or validation.

addEventSubType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIEvent

addEventType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIEvent

addExecutionMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration

addExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

addExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

addExtent(TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

addExtent(TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

addExtentBuilder() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

addExtentBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

addExternalData(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(int, TensorNamespace.StringStringEntryProto) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(int, TensorNamespace.StringStringEntryProto.Builder) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(TensorNamespace.StringStringEntryProto) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(TensorNamespace.StringStringEntryProto.Builder) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalDataBuilder() - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalDataBuilder() - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalDataBuilder() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalDataBuilder(int) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalDataBuilder(int) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalDataBuilder(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExtraBools(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addExtraInteger(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addExtraParams(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addExtraStrings(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addExtraTypes(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addF(float) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(float)"

addFeatures(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder

Add the features of a DataSet to the statistics

addFeatures(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder

Add the features of a DataSet to the statistics

addFeatures(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder

addFeatureVector(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet

addFeatureVector(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet

Adds a feature for each example on to the current feature vector

addFeatureVector(INDArray, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

addFeatureVector(INDArray, int) - Method in class org.nd4j.linalg.dataset.DataSet

The feature to add, and the example/row number

addFeed(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

addFeed(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

addFeed(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

addFeed(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

addFeed(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Tensors to be fed in future steps.

addFeed(String) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be fed in the callable.

addFeed(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

addFeed(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

addFeed(TensorProto) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

addFeed(TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

addFeedBuilder() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

addFeedBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

addFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

addFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

addFeedBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Tensors to be fed in future steps.

addFeedBytes(ByteString) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be fed in the callable.

addFetch(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

addFetch(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

addFetch(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Fetches.

addFetch(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Fetches.

addFetch(String) - Method in class org.tensorflow.framework.CallableOptions.Builder

Fetches.

addFetch(TensorProto) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

addFetch(TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

addFetchBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

addFetchBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

addFetchBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Fetches.

addFetchBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Fetches.

addFetchBytes(ByteString) - Method in class org.tensorflow.framework.CallableOptions.Builder

Fetches.

addFetchStepId(long) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

When set, requests all saved log data pertaining to the step.

addFirst(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntPair

addFirst(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntTriple

addFirst(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongPair

addFirst(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongTriple

addFloatData(float) - Method in class onnx.Onnx.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addFloatData(float) - Method in class onnx.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addFloatData(float) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addFloatingPointArguments(Double...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of Double arguments for op, Note that this ACCUMULATES arguments.

addFloats(float) - Method in class onnx.Onnx.AttributeProto.Builder

list of floats

addFloats(float) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of floats

addFloatVal(float) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_FLOAT.

addFootprintBackward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatConfiguration

addFootprintBackward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatResult

addFootprintForward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatConfiguration

addFootprintForward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatResult

addFrame(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FrameIteration

addFrameIter(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent

addFullShape(long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of the full variable.

addFunc(int, NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

addFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

addFunc(NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

addFunc(NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

addFuncBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

addFuncBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

addFunction(int, FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

addFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

addFunction(FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

addFunction(FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

addFunctionBuilder() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

addFunctionBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

addFunctions(int, Onnx.FunctionProto) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

addFunctions(int, Onnx.FunctionProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

addFunctions(int, Onnx.FunctionProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

addFunctions(int, Onnx.FunctionProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

addFunctions(int, OnnxMl.FunctionProto) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

addFunctions(int, OnnxMl.FunctionProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

addFunctions(Onnx.FunctionProto) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

addFunctions(Onnx.FunctionProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

addFunctions(Onnx.FunctionProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

addFunctions(Onnx.FunctionProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

addFunctions(OnnxMl.FunctionProto) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

addFunctions(OnnxMl.FunctionProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

addFunctionsBuilder() - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

addFunctionsBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

addFunctionsBuilder() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

addFunctionsBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

addFunctionsBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

addFunctionsBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

addGpuMemory(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHardwareState

addGradient(int, GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

addGradient(int, GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

addGradient(GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

addGradient(GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

addGradientBuilder() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

addGradientBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

addGradientVariable(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

addGraphInputNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

addGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

addGraphInputNodeName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph input node name

addGraphInputNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph input node name

addGraphKey(long) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

repeated int64 graph_key = 1;

addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

addGraphOutputNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

addGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

addGraphOutputNodeName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph output node name

addGraphOutputNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph output node name

addGraphs(int, Onnx.GraphProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

addGraphs(int, Onnx.GraphProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

addGraphs(int, OnnxMl.GraphProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

addGraphs(int, OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

addGraphs(Onnx.GraphProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

addGraphs(Onnx.GraphProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

addGraphs(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

addGraphs(OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

addGraphsBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

addGraphsBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

addGraphsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

addGraphsBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

addHalfVal(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For half values (tensorflow compatibility)

addHalfVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_HALF, DT_BFLOAT16.

addHostMemory(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UIHardwareState

addHostMemoryArg(String) - Method in class org.tensorflow.framework.KernelDef.Builder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

addHostMemoryArgBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

addi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

addi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place scalar addition

addi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

addi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place addition

addi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

addi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) addition of two NDArrays

addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

addi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) addition of two NDArrays

addI(long) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(int)"

addI(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

addIArgument(int...) - Method in interface org.nd4j.linalg.api.ops.CustomOp

addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

addIArgument(long...) - Method in interface org.nd4j.linalg.api.ops.CustomOp

addIArgument(long...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

addiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place addition of a column vector

addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatTiming

addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatConfiguration

addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatDropRequest

addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatGraph

addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatInferenceRequest

addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatResult

addInArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

addInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

addInArg(ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

addInArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

addInArgBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

addInArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

addInfoType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIStaticInfoRecord

addInitializationBinding(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBindingBuilder() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBindingBuilder() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBindingBuilder(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBindingBuilder(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializer(int, Onnx.TensorProto) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(int, Onnx.TensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(int, OnnxMl.TensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(int, OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(Onnx.TensorProto) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(Onnx.TensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializerBuilder() - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializerBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializerBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializerBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInput(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

addInput(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

addInput(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInput(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInput(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addInput(String) - Method in class onnx.Onnx.FunctionProto.Builder

The inputs and outputs of the function.

addInput(String) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

addInput(String) - Method in class onnx.OnnxMl.FunctionProto.Builder

The inputs and outputs of the function.

addInput(String) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

addInput(String) - Method in class org.tensorflow.framework.NodeDef.Builder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

addInput(Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

addInput(Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

addInput(OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInput(OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

addInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

addInputArg(OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

addInputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

addInputArgBuilder() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

addInputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

addInputArgument(INDArray...) - Method in interface org.nd4j.linalg.api.ops.CustomOp

addInputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

addInputBooleanName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputBooleanName = 11;

addInputBooleanNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputBooleanName = 11;

addInputBuilder() - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

addInputBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInputBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

addInputBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInputBytes(ByteString) - Method in class onnx.Onnx.FunctionProto.Builder

The inputs and outputs of the function.

addInputBytes(ByteString) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

addInputBytes(ByteString) - Method in class onnx.OnnxMl.FunctionProto.Builder

The inputs and outputs of the function.

addInputBytes(ByteString) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

addInputBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

addInputDataTypeName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDataTypeName = 15;

addInputDataTypeNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDataTypeName = 15;

addInputDoubleName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDoubleName = 9;

addInputDoubleNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDoubleName = 9;

addInputFloatName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputFloatName = 7;

addInputFloatNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputFloatName = 7;

addInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

addInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

addInputInfo(CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

addInputInfo(CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

addInputInfoBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

addInputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

addInputIntName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputIntName = 5;

addInputIntNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputIntName = 5;

addInputPaired(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addInputs(int, EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

addInputs(int, EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

addInputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

addInputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp

addInputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of input INDArrays in, as Op input Note that this ACCUMULATES arguments.

addInputs(EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

addInputs(EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

addInputsBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

addInputsBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

addInputsForOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addInputsPair(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

addInputStringAttrName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputStringAttrName = 3;

addInputStringAttrNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputStringAttrName = 3;

addInputTensorName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputTensorName = 13;

addInputTensorNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputTensorName = 13;

addInt32Data(int) - Method in class onnx.Onnx.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

addInt32Data(int) - Method in class onnx.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

addInt32Data(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

addInt64Data(long) - Method in class onnx.Onnx.TensorProto.Builder

For int64.

addInt64Data(long) - Method in class onnx.OnnxMl.TensorProto.Builder

For int64.

addInt64Data(long) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int64.

addInt64Val(long) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT64

addIntegerArguments(int...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of Integer arguments for op, Note that this ACCUMULATES arguments.

addIntegerArguments(long) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of Integer arguments for op, Note that this ACCUMULATES arguments.

addIntegerArguments(List<Integer>) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of Integer arguments for op, Note that this ACCUMULATES arguments.

addInts(long) - Method in class onnx.Onnx.AttributeProto.Builder

list of ints

addInts(long) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of ints

addIntVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

addiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

addiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place addition of a row vector

addItemToSequence(String, INDArray, int) - Method in class org.nd4j.autodiff.samediff.SameDiff

Add an item to the sequence

addIteration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FrameIteration

addIteration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent

addJob(int, JobDef) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

addJob(int, JobDef.Builder) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

addJob(JobDef) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

addJob(JobDef.Builder) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

addJobBuilder() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

addJobBuilder(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

addKeys(String) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

Keys for tensors in the VariantTensorDataProto.

addKeysBytes(ByteString) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

Keys for tensors in the VariantTensorDataProto.

addL(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

addLabels(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder

Add the labels of a DataSet to the statistics

addLabels(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder

Add the labels of a DataSet to the statistics

addLabels(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder

Add the labels of a DataSet to the statistics

addLines(String) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Line-by-line content of the source code file.

addLinesBytes(ByteString) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Line-by-line content of the source code file.

addLink(int, InterconnectLink) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

addLink(int, InterconnectLink.Builder) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

addLink(InterconnectLink) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

addLink(InterconnectLink.Builder) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

addLinkBuilder() - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

addLinkBuilder(int) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

addList(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArrayList

addListener(OpProfiler.OpProfilerListener) - Method in class org.nd4j.linalg.profiler.OpProfiler

dd the listener to the profiler

addListeners(Collection<? extends Listener>) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.addListeners(Listener...).

addListeners(Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Add SameDiff-wide Listener instances.

addLocalDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

addLocalDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

addLocalDevice(DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

addLocalDevice(DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

addLocalDeviceBuilder() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

addLocalDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

addLoopEnterNames(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for enter tensors.

addLoopEnterNamesBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for enter tensors.

addLoopExitNames(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for exit tensors.

addLoopExitNamesBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for exit tensors.

addLossAndCopy(double[], List<String>) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return a new LossCurve with the given losses added on as the most recent epoch

addLossAndCopy(Loss) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return a new LossCurve with the given losses added on as the most recent epoch

addLossVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Mark the specified variable as a loss function variable.

addLossVariable(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.addLossVariable(String)

addLossVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

addMappings(int, MapperNamespace.MapperDeclaration) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

addMappings(int, MapperNamespace.MapperDeclaration.Builder) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

addMappings(MapperNamespace.MapperDeclaration) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

addMappings(MapperNamespace.MapperDeclaration.Builder) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

addMappingsBuilder() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

addMappingsBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

addMax(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISummaryStatistics

addMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

repeated int32 max_byte_size = 2;

addMean(FlatBufferBuilder, double) - Static method in class org.nd4j.graph.UISummaryStatistics

addMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

addMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

addMemory(AllocatorMemoryUsed) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

addMemory(AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

addMemoryBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

addMemoryBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

addMemoryLimitMb(float) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

Per "virtual" device memory limit, in MB.

addMemoryTransaction(int, long, long) - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker

This method stores bandwidth used for given transaction.

addMemoryTransaction(int, long, long, MemcpyDirection) - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker

This method stores bandwidth used for given transaction.

addMetadataProps(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(Onnx.StringStringEntryProto) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataPropsBuilder() - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataPropsBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataPropsBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataPropsBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetaGraphs(int, MetaGraphDef) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

addMetaGraphs(int, MetaGraphDef.Builder) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

addMetaGraphs(MetaGraphDef) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

addMetaGraphs(MetaGraphDef.Builder) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

addMetaGraphsBuilder() - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

addMetaGraphsBuilder(int) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

addMin(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISummaryStatistics

addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatTiming

addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.SequenceItem

addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIAddName

addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp

addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated string name = 2;

addNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated string name = 2;

addNameIdx(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIAddName

addNameIdx(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent

addNdarray(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContextsBuilder() - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContextsBuilder() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContextsBuilder(int) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

addNestedContextsBuilder(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

addNode(int, Onnx.NodeProto) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

addNode(int, Onnx.NodeProto) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(int, Onnx.NodeProto.Builder) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

addNode(int, Onnx.NodeProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(int, OnnxMl.NodeProto) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

addNode(int, OnnxMl.NodeProto) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(int, OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

addNode(int, OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(int, CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

addNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

addNode(int, NodeDef) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

addNode(int, NodeDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

addNode(Onnx.NodeProto) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

addNode(Onnx.NodeProto) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(Onnx.NodeProto.Builder) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

addNode(Onnx.NodeProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(OnnxMl.NodeProto) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

addNode(OnnxMl.NodeProto) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

addNode(OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

addNode(CostGraphDef.Node.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

addNode(NodeDef) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

addNode(NodeDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

addNodeBuilder() - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

addNodeBuilder() - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNodeBuilder() - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

addNodeBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNodeBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

addNodeBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

addNodeBuilder(int) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

addNodeBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNodeBuilder(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

addNodeBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNodeBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

addNodeBuilder(int) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

addNodeDef(int, NodeDef) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

addNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

addNodeDef(NodeDef) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

addNodeDef(NodeDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

addNodeDefBuilder() - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

addNodeDefBuilder(int) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

addNodeInfo(int, GraphTransferNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

addNodeInfo(int, GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

addNodeInfo(GraphTransferNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

addNodeInfo(GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

addNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

addNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

addNodeInput(int, GraphTransferNodeInput) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

addNodeInput(int, GraphTransferNodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

addNodeInput(GraphTransferNodeInput) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

addNodeInput(GraphTransferNodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

addNodeInputBuilder() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

addNodeInputBuilder(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

addNodeInputInfo(int, GraphTransferNodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

addNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

addNodeInputInfo(GraphTransferNodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

addNodeInputInfo(GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

addNodeInputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

addNodeInputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

addNodeOutputInfo(int, GraphTransferNodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

addNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

addNodeOutputInfo(GraphTransferNodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

addNodeOutputInfo(GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

addNodeOutputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

addNodeOutputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

addNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

addNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

addNodes(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

addNodes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

addNodes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

addNodesBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

addNodesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

addNodeStats(int, NodeExecStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

addNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

addNodeStats(NodeExecStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

addNodeStats(NodeExecStats.Builder) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

addNodeStatsBuilder() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

addNodeStatsBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

addNumbins(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UIHistogram

addOp(int, ApiDef) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

addOp(int, ApiDef.Builder) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

addOp(int, OpDef) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

addOp(int, OpDef.Builder) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

addOp(ApiDef) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

addOp(ApiDef.Builder) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

addOp(OpDef) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

addOp(OpDef.Builder) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

AddOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

Addition operation

AddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

AddOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

AddOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

AddOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

AddOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

addOpBuilder() - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

addOpBuilder() - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

addOpBuilder(int) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

addOpBuilder(int) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

addOperator(int, OnnxOperators.OperatorProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

addOperator(int, OnnxOperators.OperatorProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

addOperator(OnnxOperators.OperatorProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

addOperator(OnnxOperators.OperatorProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

addOperatorBuilder() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

addOperatorBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

addOpId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

Ids to wait on.

addOpList(int, OpNamespace.OpDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

addOpList(int, OpNamespace.OpDescriptor.Builder) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

addOpList(OpNamespace.OpDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

addOpList(OpNamespace.OpDescriptor.Builder) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

addOpListBuilder() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

addOpListBuilder(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

addOpName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addOpName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp

addOpNum(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatNode

addOps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

addOpsetImport(int, Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImport(int, Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(int, Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImport(int, Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(int, OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImport(int, OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(int, OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImport(int, OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImport(Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImport(Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImport(OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImport(OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImportBuilder() - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImportBuilder() - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImportBuilder() - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImportBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImportBuilder(int) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImportBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImportBuilder(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

addOpsetImportBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOptimizers(String) - Method in class org.tensorflow.framework.RewriterConfig.Builder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

addOptimizersBytes(ByteString) - Method in class org.tensorflow.framework.RewriterConfig.Builder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

addOpType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatNode

addOrDependency(T, D, D) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

Add an "Or" dependency: Y requires either x1 OR x2 - i.e., (x1 or x2) -> Y
If either x1 or x2 (or both) are marked satisfied via AbstractDependencyTracker.markSatisfied(Object, boolean) then the dependency is considered satisfied

addOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

addOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

addOutArg(ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

addOutArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

addOutArgBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

addOutArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

addOutgoingFor(String[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Adds outgoing arguments to the graph for the specified DifferentialFunction Also checks for input arguments and updates the graph adding an appropriate edge when the full graph is declared.

addOutgoingFor(SDVariable[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Adds outgoing arguments to the graph for the specified DifferentialFunction Also checks for input arguments and updates the graph adding an appropriate edge when the full graph is declared.

addOutput(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(int, NodeOutput) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

addOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

addOutput(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addOutput(String) - Method in class onnx.Onnx.FunctionProto.Builder

repeated string output = 5;

addOutput(String) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

addOutput(String) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated string output = 5;

addOutput(String) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

addOutput(Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(NodeOutput) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

addOutput(NodeOutput.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

addOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

addOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

addOutputArg(OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

addOutputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

addOutputArgBuilder() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

addOutputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

addOutputArgument(INDArray...) - Method in interface org.nd4j.linalg.api.ops.CustomOp

addOutputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

addOutputBooleanName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputBooleanName = 12;

addOutputBooleanNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputBooleanName = 12;

addOutputBuilder() - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutputBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutputBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

addOutputBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutputBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutputBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

addOutputBytes(ByteString) - Method in class onnx.Onnx.FunctionProto.Builder

repeated string output = 5;

addOutputBytes(ByteString) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

addOutputBytes(ByteString) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated string output = 5;

addOutputBytes(ByteString) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

addOutputDataTypeName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDataTypeName = 16;

addOutputDataTypeNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDataTypeName = 16;

addOutputDoubleName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDoubleName = 10;

addOutputDoubleNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDoubleName = 10;

addOutputFloatName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputFloatName = 8;

addOutputFloatNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputFloatName = 8;

addOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

addOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

addOutputInfo(CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

addOutputInfo(CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

addOutputInfoBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

addOutputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

addOutputIntName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputIntName = 6;

addOutputIntNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputIntName = 6;

addOutputMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration

addOutputNames(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addOutputOfOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp

addOutputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of output INDArrays in, to store operation result Note that this ACCUMULATES arguments.

addOutputShape(LongShapeDescriptor) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

Adds an oup

addOutputsToOp() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

addOutputStringAttrName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputStringAttrName = 4;

addOutputStringAttrNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputStringAttrName = 4;

addOutputTensorName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputTensorName = 14;

addOutputTensorNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputTensorName = 14;

addOutputTypes(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addParamName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UpdaterState

addPartitionGraph(int, GraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

addPartitionGraph(int, GraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

addPartitionGraph(GraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

addPartitionGraph(GraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

addPartitionGraphBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

addPartitionGraphBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

addPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

addPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

addPartitionGraphs(GraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

addPartitionGraphs(GraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

addPartitionGraphsBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

addPartitionGraphsBuilder(int) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

addPersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder

repeated int64 persistent_tensor_alloc_ids = 5;

addPhysicalCores(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISystemInfo

addPlaceholders(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

addPlugin(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent

addProfilingMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration

addProperties(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addQuantizationAnnotation(int, Onnx.TensorAnnotation) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(int, Onnx.TensorAnnotation.Builder) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(int, OnnxMl.TensorAnnotation) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(int, OnnxMl.TensorAnnotation.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(Onnx.TensorAnnotation) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(Onnx.TensorAnnotation.Builder) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(OnnxMl.TensorAnnotation) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(OnnxMl.TensorAnnotation.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotationBuilder() - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotationBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotationBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotationBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantParameterTensorNames(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNamesBuilder() - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNamesBuilder() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNamesBuilder(int) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNamesBuilder(int) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQueue(int, EagerServiceOuterClass.QueueItem) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

addQueue(int, EagerServiceOuterClass.QueueItem.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

addQueue(EagerServiceOuterClass.QueueItem) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

addQueue(EagerServiceOuterClass.QueueItem.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

addQueueBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

addQueueBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

addQueueClosedExceptionTypes(Code) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

addQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

addRecv(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

addRecv(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

addRecv(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

addRecv(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

addRecvBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

addRecvBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

addRecvKey(String) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

repeated string recv_key = 4;

addRecvKeyBytes(ByteString) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

repeated string recv_key = 4;

addReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

addReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

addReferencedTensor(AllocationDescription) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

addReferencedTensor(AllocationDescription.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

addReferencedTensorBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

addReferencedTensorBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

addReferencing(String) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Deprecated.

addReferencing(String) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Add a referencing element to this buffer

addRegularization(Regularization...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Add regularization to all trainable parameters in the network

addRemoteDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

addRemoteDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

addRemoteDevice(DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

addRemoteDevice(DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

addRemoteDeviceBuilder() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

addRemoteDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.AttributeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.FunctionProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.GraphProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.ModelProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.NodeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.SparseTensorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.StringStringEntryProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorAnnotation.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorProto.Segment.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorShapeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TrainingInfoProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Map.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Optional.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.ValueInfoProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.AttributeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.FunctionProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.GraphProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.ModelProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.NodeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperators.OperatorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.JobDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ServerDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.StepSequence.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AssetFileDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CallableOptions.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CondContextDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugOptions.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GradientDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphOptions.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.InterconnectLink.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.LocalLinks.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpList.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RewriterConfig.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RPCOptions.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunMetadata.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SavedModel.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SignatureDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.StepStats.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorConnection.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ValuesDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariableDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VersionDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.WhileContextDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleEntryProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.SaverDef.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

addResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

addResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

addResourceHandleVal(ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

addResourceHandleVal(ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

addResourceHandleValBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

addResourceHandleValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

address() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

address() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns the address of the pointer

addressPointer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

addressPointer() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns the address of the pointer wrapped in a Pointer

addressPointer() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

addRow(DataSet, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

addRow(DataSet, int) - Method in class org.nd4j.linalg.dataset.DataSet

addRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

addRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Addition of a row vector (copy)

addRule(int, MapperNamespace.MappingRule) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

addRule(int, MapperNamespace.MappingRule.Builder) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

addRule(MapperNamespace.MappingRule) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

addRule(MapperNamespace.MappingRule.Builder) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

addRuleBuilder() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

addRuleBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

addS(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

addS(ByteString) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(string)"

addSArgument(String...) - Method in interface org.nd4j.linalg.api.ops.CustomOp

addSArgument(String...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

addSArgument(String...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

addScalar(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addScomplexVal(float) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX64.

addScopeId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addScopeName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addSecond(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntPair

addSecond(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntTriple

addSecond(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongPair

addSecond(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongTriple

addSend(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

addSend(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

addSend(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

addSend(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

addSendBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

addSendBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

addSequenceItems(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

addSequenceItems(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.SequenceItemRoot

addSessionInterOpThreadPool(int, ThreadPoolOptionProto) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

addSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

addSessionInterOpThreadPool(ThreadPoolOptionProto) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

addSessionInterOpThreadPool(ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

addSessionInterOpThreadPoolBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

addSessionInterOpThreadPoolBuilder(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

addShape(int, TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

addShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

addShape(long) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

repeated int64 shape = 3;

addShape(long) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

repeated int64 shape = 2;

addShape(long) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

repeated int64 shape = 2;

addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray

addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addShape(TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

addShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

addShapeBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

addShapeBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

addSlices(int, TensorSliceProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

addSlices(int, TensorSliceProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

addSlices(TensorSliceProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

addSlices(TensorSliceProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

addSlicesBuilder() - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

addSlicesBuilder(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

addSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

addSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

addSlotVariables(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

addSlotVariables(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

addSlotVariablesBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

addSlotVariablesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

addSourceFiles(int, DebuggedSourceFile) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

addSourceFiles(int, DebuggedSourceFile.Builder) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

addSourceFiles(DebuggedSourceFile) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

addSourceFiles(DebuggedSourceFile.Builder) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

addSourceFilesBuilder() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

addSourceFilesBuilder(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

addSparseInitializer(int, Onnx.SparseTensorProto) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(int, Onnx.SparseTensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(int, OnnxMl.SparseTensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(int, OnnxMl.SparseTensorProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(Onnx.SparseTensorProto) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(Onnx.SparseTensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(OnnxMl.SparseTensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(OnnxMl.SparseTensorProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializerBuilder() - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializerBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializerBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializerBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseTensors(int, Onnx.SparseTensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

addSparseTensors(int, Onnx.SparseTensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

addSparseTensors(int, OnnxMl.SparseTensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensors(int, OnnxMl.SparseTensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensors(Onnx.SparseTensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

addSparseTensors(Onnx.SparseTensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

addSparseTensors(OnnxMl.SparseTensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensors(OnnxMl.SparseTensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensorsBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

addSparseTensorsBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensorsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

addSparseTensorsBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

addStatus(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResponse

addStdev(FlatBufferBuilder, double) - Static method in class org.nd4j.graph.UISummaryStatistics

addStep(int, LabeledStepStats) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

addStep(int, LabeledStepStats.Builder) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

addStep(LabeledStepStats) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

addStep(LabeledStepStats.Builder) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

addStepBuilder() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

addStepBuilder(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

addStepSequence(int, StepSequence) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

addStepSequence(int, StepSequence.Builder) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

addStepSequence(StepSequence) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

addStepSequence(StepSequence.Builder) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

addStepSequenceBuilder() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

addStepSequenceBuilder(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

addStrategy(NormalizerSerializerStrategy) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer

Add a normalizer serializer strategy

addStringArguments(String) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of String arguments for op, Note that this ACCUMULATES arguments.

addStringArguments(String...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of String arguments for op, Note that this ACCUMULATES arguments.

addStringArguments(List<String>) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

This method takes arbitrary number of String arguments for op, Note that this ACCUMULATES arguments.

addStringData(ByteString) - Method in class onnx.Onnx.TensorProto.Builder

For strings.

addStringData(ByteString) - Method in class onnx.OnnxMl.TensorProto.Builder

For strings.

addStringData(ByteString) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For strings.

addStrings(ByteString) - Method in class onnx.Onnx.AttributeProto.Builder

list of UTF-8 strings

addStrings(ByteString) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

addStringVal(ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_STRING

addSubdivOffset(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

repeated int32 subdiv_offset = 9;

addTags(String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User supplied tag(s) on the meta_graph and included graph_def.

addTagsBytes(ByteString) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User supplied tag(s) on the meta_graph and included graph_def.

addTarget(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Target Nodes.

addTarget(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Target Nodes.

addTarget(String) - Method in class org.tensorflow.framework.CallableOptions.Builder

Target Nodes.

addTargetBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Target Nodes.

addTargetBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Target Nodes.

addTargetBytes(ByteString) - Method in class org.tensorflow.framework.CallableOptions.Builder

Target Nodes.

addTArgument(double...) - Method in interface org.nd4j.linalg.api.ops.CustomOp

addTArgument(double...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

addTaskName(String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

task name prefixes of device_names

addTaskNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

task name prefixes of device_names

addTensor(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

addTensor(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

addTensor(int, TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

addTensor(int, TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

addTensor(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

addTensor(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

addTensor(TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

addTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

addTensorBuilder() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

addTensorBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

addTensorBuilder(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

addTensorBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

addTensorConnection(int, TensorConnection) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

addTensorConnection(int, TensorConnection.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

addTensorConnection(TensorConnection) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

addTensorConnection(TensorConnection.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

addTensorConnectionBuilder() - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

addTensorConnectionBuilder(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

addTensors(int, Onnx.TensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

addTensors(int, Onnx.TensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

addTensors(int, OnnxMl.TensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

addTensors(int, OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

addTensors(int, TensorProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

addTensors(int, TensorProto.Builder) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

addTensors(Onnx.TensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

addTensors(Onnx.TensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

addTensors(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

addTensors(OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

addTensors(TensorProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

addTensors(TensorProto.Builder) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

addTensorsBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

addTensorsBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

addTensorsBuilder() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

addTensorsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

addTensorsBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

addTensorsBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

addThird(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntTriple

addThird(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongTriple

addTime(long) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet

addTimestamp(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UIEvent

addTimestats(FlatBufferBuilder, boolean) - Static method in class org.nd4j.graph.FlatConfiguration

addTiming(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult

addTiming(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatTiming

addToConfusion(Integer, Integer) - Method in class org.nd4j.evaluation.classification.Evaluation

Adds to the confusion matrix

addTrainingConfig(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

addTrainingInfo(int, Onnx.TrainingInfoProto) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

addTrainingInfo(int, Onnx.TrainingInfoProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

addTrainingInfo(int, OnnxMl.TrainingInfoProto) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfo(int, OnnxMl.TrainingInfoProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfo(Onnx.TrainingInfoProto) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

addTrainingInfo(Onnx.TrainingInfoProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

addTrainingInfo(OnnxMl.TrainingInfoProto) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfo(OnnxMl.TrainingInfoProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfoBuilder() - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

addTrainingInfoBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfoBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

addTrainingInfoBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

addTransformerArgs(int, MapperNamespace.TransformerArgs) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

addTransformerArgs(int, MapperNamespace.TransformerArgs.Builder) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

addTransformerArgs(int, OpNamespace.ArgDescriptor) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

addTransformerArgs(int, OpNamespace.ArgDescriptor.Builder) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

addTransformerArgs(MapperNamespace.TransformerArgs) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

addTransformerArgs(MapperNamespace.TransformerArgs.Builder) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

addTransformerArgs(OpNamespace.ArgDescriptor) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

addTransformerArgs(OpNamespace.ArgDescriptor.Builder) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

addTransformerArgsBuilder() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

addTransformerArgsBuilder() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

addTransformerArgsBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

addTransformerArgsBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

addType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIHistogram

addType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIVariable

addType(DataType) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

addTypeProtos(int, Onnx.TypeProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

addTypeProtos(int, Onnx.TypeProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

addTypeProtos(int, OnnxMl.TypeProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

addTypeProtos(int, OnnxMl.TypeProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

addTypeProtos(Onnx.TypeProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

addTypeProtos(Onnx.TypeProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

addTypeProtos(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

addTypeProtos(OnnxMl.TypeProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

addTypeProtosBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

addTypeProtosBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

addTypeProtosBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

addTypeProtosBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

addTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

addUiLabelExtra(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp

addUiLabelExtra(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

addUint32Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT32

addUint64Data(long) - Method in class onnx.Onnx.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

addUint64Data(long) - Method in class onnx.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

addUint64Data(long) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

addUint64Val(long) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT64

addUpdateBinding(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBindingBuilder() - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBindingBuilder() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBindingBuilder(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBindingBuilder(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdaterState(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

addUpdaterStateKeys(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UpdaterState

addUpdaterStateValues(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UpdaterState

addValue(float) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

repeated float value = 1 [packed = true];

addValue(int, Any) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

addValue(int, Any.Builder) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

addValue(int, Summary.Value) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

addValue(int, Summary.Value.Builder) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

addValue(long) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

repeated int64 value = 1 [packed = true];

addValue(MemcpyDirection, Long) - Method in class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder

addValue(String) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

repeated string value = 1;

addValue(Any) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

addValue(Any.Builder) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

addValue(ByteString) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

repeated bytes value = 1;

addValue(Summary.Value) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

addValue(Summary.Value.Builder) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

addValueBuilder() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

addValueBuilder() - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

addValueBuilder(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

addValueBuilder(int) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

addValueBytes(ByteString) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

repeated string value = 1;

addValueInfo(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

addValueInfo(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

addValueInfo(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfo(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfo(Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

addValueInfo(Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

addValueInfo(OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfo(OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfoBuilder() - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

addValueInfoBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfoBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

addValueInfoBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValues(String) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names that have been seen in this context.

addValuesBytes(ByteString) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names that have been seen in this context.

addVarControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

addVarControlDeps(AbstractSession.ExecStep, Variable) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Add the control dependency from Op -> variable

addVariable(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff

Add the specified variable to this SameDiff instance

addVariableId(FlatBufferBuilder, short) - Static method in class org.nd4j.graph.UIEvent

addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatInferenceRequest

addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult

addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

addVariabletype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatVariable

addVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

addVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

addVariantVal(VariantTensorDataProto) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

addVariantVal(VariantTensorDataProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

addVariantValBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

addVariantValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

addVarOffset(long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Offset of this variable into the full variable.

addVarShape(long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of this variable.

addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

addVirtualDevices(GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

addVirtualDevices(GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

addVirtualDevicesBuilder() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

addVirtualDevicesBuilder(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

addY(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram

adjustContrast(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Adjusts contrast of RGB or grayscale images.

adjustContrast(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Adjusts contrast of RGB or grayscale images.

adjustContrast(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDImage

Adjusts contrast of RGB or grayscale images.

AdjustContrast - Class in org.nd4j.linalg.api.ops.custom

AdjustContrast() - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast

AdjustContrast(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast

AdjustContrast(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast

AdjustContrast(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast

AdjustContrast(INDArray, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast

adjustHue(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Adjust hue of RGB image

adjustHue(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Adjust hue of RGB image

adjustHue(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDImage

Adjust hue of RGB image

AdjustHue - Class in org.nd4j.linalg.api.ops.custom

AdjustHue() - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue

AdjustHue(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue

AdjustHue(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue

AdjustHue(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue

AdjustHue(INDArray, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue

adjustIndices(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices

Prunes indices of greater length than the shape and fills in missing indices if there are any

adjustMasks(INDArray, INDArray, int, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor

adjustSaturation(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Adjust saturation of RGB images

adjustSaturation(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Adjust saturation of RGB images

adjustSaturation(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDImage

Adjust saturation of RGB images

AdjustSaturation - Class in org.nd4j.linalg.api.ops.custom

AdjustSaturation() - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation

AdjustSaturation(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation

AdjustSaturation(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation

AdjustSaturation(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation

AdjustSaturation(INDArray, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation

AFFINE - org.nd4j.enums.CellAct

AFFINE - org.nd4j.enums.GateAct

AFFINE - org.nd4j.enums.OutAct

AFFINE - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

AffinityManager - Interface in org.nd4j.linalg.api.concurrency

AffinityManager.Location - Enum in org.nd4j.linalg.api.concurrency

AFTER_EXEC - org.nd4j.autodiff.validation.TestCase.TestSerialization

afterOptimizationsCheck(SameDiff, SameDiffOp, Optimizer, boolean) - Method in interface org.nd4j.autodiff.samediff.optimize.debug.OptimizationDebugger

aggregate(Aggregate) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method enqueues aggregate op for future invocation

aggregate(Aggregate, long) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method enqueues aggregate op for future invocation.

Aggregate - Interface in org.nd4j.linalg.api.ops.aggregates

AGGREGATE - org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.Mode

AGGREGATE - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

AggregateAxpy - Class in org.nd4j.linalg.api.ops.aggregates.impl

Deprecated.

AggregateAxpy(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

AggregateGEMM - Class in org.nd4j.linalg.api.ops.aggregates.impl

AggregateGEMM() - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

AggregateGEMM(int, int, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

aggregateOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

AGGREGATION - org.nd4j.linalg.api.ops.Op.Type

AGGREGATION - Static variable in class org.nd4j.graph.OpType

AGGRESSIVE - org.tensorflow.framework.RewriterConfig.Toggle

Enable some aggressive optimizations that use assumptions that TF graphs may break.

AGGRESSIVE_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.Toggle

Enable some aggressive optimizations that use assumptions that TF graphs may break.

aLength() - Method in class org.nd4j.graph.FlatProperties

ALGORITHM_FIELD_NUMBER - Static variable in class onnx.Onnx.TrainingInfoProto

ALGORITHM_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TrainingInfoProto

ALIAS_INPUT_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

alignCorners - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

alignCorners - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic

alignCorners - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

alignmentBase - Static variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

alignPixelCenters - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic

all() - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all the elements in along this dimension.

all() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

all() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks if all elements within this array are non-zero (or true, in case of boolean)

all() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Represents collecting all elements

all(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Boolean and array reduction operation, optionally along specified dimensions

all(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Boolean and array reduction operation, optionally along specified dimensions

all(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Boolean and array reduction operation, optionally along specified dimensions

All - Class in org.nd4j.linalg.api.ops.impl.reduce.bool

All() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

All(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All

ALL - org.nd4j.autodiff.samediff.SDIndex.IndexType

ALL - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

ALL_END_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

ALL_START_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

ALL_TYPE - Static variable in class org.nd4j.linalg.api.ops.impl.shape.CreateView

allCosineDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

allCosineSimilarities(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

allData - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

allEuclideanDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

allFalse() - Static method in class org.nd4j.linalg.api.blas.params.MMulTranspose

Returns the default transpose where all are false

allFor(INDArray) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Generate an all index equal to the rank of the given array

allFunctionsInSubgraph() - Method in class org.nd4j.autodiff.samediff.transform.SubGraph

allManhattanDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

alloc - Static variable in class org.nd4j.linalg.factory.Nd4j

alloc(long, DataType, boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method does allocation from a given Workspace

alloc(long, DataType, boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

alloc(long, DataType, boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method does allocation from a given Workspace

alloc(long, MemoryKind, DataType, boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method does allocation from a given Workspace

alloc(long, MemoryKind, DataType, boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

alloc(long, MemoryKind, DataType, boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method does allocation from a given Workspace

alloc(DataBuffer, int, int, int) - Method in interface org.nd4j.linalg.api.buffer.allocation.MemoryStrategy

Allocate memory for the given buffer

ALLOC_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationRecord

ALLOC_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationRecord

allocate(boolean, DataType, long...) - Method in class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr

allocate(boolean, DataType, long...) - Method in class org.nd4j.autodiff.samediff.internal.memory.NoOpMemoryMgr

allocate(boolean, DataType, long...) - Method in interface org.nd4j.autodiff.samediff.internal.SessionMemMgr

Allocate an array with the specified datatype and shape.
NOTE: This array should be assumed to be uninitialized - i.e., contains random values.

allocate(boolean, LongShapeDescriptor) - Method in class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr

allocate(boolean, LongShapeDescriptor) - Method in class org.nd4j.autodiff.samediff.internal.memory.NoOpMemoryMgr

allocate(boolean, LongShapeDescriptor) - Method in interface org.nd4j.autodiff.samediff.internal.SessionMemMgr

As per SessionMemMgr.allocate(boolean, DataType, long...) but from a LongShapeDescriptor instead

allocate(int, DataType, long...) - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray

This method allocates INDArray for specified entry

allocate(int, LongShapeDescriptor) - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray

This method allocates INDArray for specified entry

allocate(long, MemoryKind, boolean) - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

This method returns PLEASE NOTE: Cache options depend on specific implementations

allocate(long, MemoryKind, boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method returns pointer to allocated memory PLEASE NOTE: Cache options depend on specific implementations

ALLOCATED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription

allocatedMemory(Integer) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method returns number of bytes allocated on specified device

allocateOutputArrays(CustomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

allocateOutputArrays(CustomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Equivalent to calli

ALLOCATION_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorDescription

ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription

ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation

ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation

ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorDeallocation

ALLOCATION_RECORDS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed

AllocationDescription - Class in org.tensorflow.framework

Protobuf type tensorflow.AllocationDescription

AllocationDescription.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.AllocationDescription

AllocationDescriptionOrBuilder - Interface in org.tensorflow.framework

AllocationDescriptionProtos - Class in org.tensorflow.framework

AllocationKind - Enum in org.nd4j.linalg.api.memory.enums

allocationMode - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

allocationMode() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

allocationMode() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Allocation mode for buffers

allocationMode() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Allocation mode for the data buffer

AllocationPolicy - Enum in org.nd4j.linalg.api.memory.enums

AllocationRecord - Class in org.tensorflow.framework

An allocation/de-allocation operation performed by the allocator.

AllocationRecord.Builder - Class in org.tensorflow.framework

An allocation/de-allocation operation performed by the allocator.

AllocationRecordOrBuilder - Interface in org.tensorflow.framework

AllocationsTracker - Class in org.nd4j.linalg.api.memory

AllocationsTracker() - Constructor for class org.nd4j.linalg.api.memory.AllocationsTracker

ALLOCATOR_BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed

ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription

ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed

ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation

ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation

ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorDeallocation

ALLOCATOR_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions

AllocatorMemoryUsed - Class in org.tensorflow.framework

Protobuf type tensorflow.AllocatorMemoryUsed

AllocatorMemoryUsed.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.AllocatorMemoryUsed

AllocatorMemoryUsedOrBuilder - Interface in org.tensorflow.framework

AllocUtil - Class in org.nd4j.linalg.api.buffer.util

AllocUtil() - Constructor for class org.nd4j.linalg.api.buffer.util.AllocUtil

allOpenWorkspaces() - Static method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

ALLOW_GROWTH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions

ALLOW_SOFT_PLACEMENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

allowCrossDeviceAccess(boolean) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method allows to block cross-device access.

allowCrossDeviceAccess(boolean) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef.AttrConstraint

ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef

allowHelpers(boolean) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method allows to enable/disable use of platform helpers within ops.

allowHelpers(boolean) - Method in interface org.nd4j.linalg.factory.Environment

Set whether helpers (cuDNN, DNNL/MKLDNN etc) are allowed

ALLOWS_UNINITIALIZED_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

allowsOrder() - Method in class org.nd4j.linalg.factory.Nd4jBackend

Returns true if the backend allows order to be specified on blas operations (cblas)

allowsSpecifyOrdering() - Static method in class org.nd4j.linalg.factory.Nd4j

Backend specific: Returns whether specifying the order for the blas impl is allowed (cblas)

alpha - Variable in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

alpha - Variable in class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

AlphaDropOut - Class in org.nd4j.linalg.api.ops.random.impl

AlphaDropOut() - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

AlphaDropOut(INDArray, double, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

AlphaDropOut(INDArray, INDArray, double, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

ALREADY_EXISTS - org.tensorflow.framework.Code

Some entity that we attempted to create (e.g., file or directory) already exists.

ALREADY_EXISTS_VALUE - Static variable in enum org.tensorflow.framework.Code

Some entity that we attempted to create (e.g., file or directory) already exists.

amax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

amax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the absolute overall max of this ndarray along given dimensions

amax(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast absolute max op.

AMax - Class in org.nd4j.linalg.api.ops.impl.reduce.same

AMax - Class in org.nd4j.linalg.api.ops.impl.transforms.same

AMax() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMax

AMax(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMax

AMax(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMax

AMax(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

AMax(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

amaxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

amaxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns maximum (absolute) value in this INDArray

amean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

amean(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the absolute overall mean of this ndarray

AMean - Class in org.nd4j.linalg.api.ops.impl.reduce.floating

AMean() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

AMean(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

ameanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

ameanNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the absolute overall mean of this ndarray

amin(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

amin(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns minimum (absolute) value in this INDArray, along the specified dimensions

amin(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast absolute min op.

AMin - Class in org.nd4j.linalg.api.ops.impl.reduce.same

AMin - Class in org.nd4j.linalg.api.ops.impl.transforms.same

AMin() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMin

AMin(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMin

AMin(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMin

AMin(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

AMin(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

aminNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

aminNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns absolute min value in this INDArray

AMSGrad - Class in org.nd4j.linalg.learning.config

AMSGrad() - Constructor for class org.nd4j.linalg.learning.config.AMSGrad

AMSGrad(double) - Constructor for class org.nd4j.linalg.learning.config.AMSGrad

AMSGrad(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.AMSGrad

AMSGrad(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AMSGrad

AMSGrad.Builder - Class in org.nd4j.linalg.learning.config

AmsGradUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

AmsGradUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AmsGradUpdater

AmsGradUpdater(INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AmsGradUpdater

AmsGradUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AmsGradUpdater

AMSGradUpdater - Class in org.nd4j.linalg.learning

AMSGradUpdater(AMSGrad) - Constructor for class org.nd4j.linalg.learning.AMSGradUpdater

and(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise AND operation.

and(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Boolean AND operation: elementwise (x != 0) && (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

and(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise AND operation.

and(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Boolean AND operation: elementwise (x != 0) && (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

and(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Bitwise AND operation.

and(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Boolean AND operation: elementwise (x != 0) && (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

and(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

and(INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

And over the whole ndarray given some condition

and(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

And over the whole ndarray given some condition, with respect to dimensions

and(Condition...) - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder

And - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool

And - Class in org.nd4j.linalg.indexing.conditions

And() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

And(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

And(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

And(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

And(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

And(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

And(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

And(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

And(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.And

Angle - Class in org.nd4j.linalg.api.ops.impl.transforms

Angle() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Angle

Angle(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Angle

any() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

any() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks if any of the elements within this array are non-zero (or true, in case of boolean)

any(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Boolean or array reduction operation, optionally along specified dimensions

any(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Boolean or array reduction operation, optionally along specified dimensions

any(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Boolean or array reduction operation, optionally along specified dimensions

Any - Class in org.nd4j.linalg.api.ops.impl.reduce.bool

Any() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

Any(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

ANY_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

ANY_LIST - org.tensorflow.framework.CollectionDef.KindCase

ANY_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef

ANY_PANIC - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

ANY_PANIC - Static variable in class org.nd4j.graph.ProfilingMode

anyWorkspaceActiveForCurrentThread() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

Determine if there are any workspaces open for the current thread.

anyWorkspaceActiveForCurrentThread() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

ApiDef - Class in org.tensorflow.framework

Used to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone.

ApiDef.Arg - Class in org.tensorflow.framework

Protobuf type tensorflow.ApiDef.Arg

ApiDef.Arg.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.ApiDef.Arg

ApiDef.ArgOrBuilder - Interface in org.tensorflow.framework

ApiDef.Attr - Class in org.tensorflow.framework

Description of the graph-construction-time configuration of this Op.

ApiDef.Attr.Builder - Class in org.tensorflow.framework

Description of the graph-construction-time configuration of this Op.

ApiDef.AttrOrBuilder - Interface in org.tensorflow.framework

ApiDef.Builder - Class in org.tensorflow.framework

Used to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone.

ApiDef.Endpoint - Class in org.tensorflow.framework

If you specify any endpoint, this will replace all of the inherited endpoints.

ApiDef.Endpoint.Builder - Class in org.tensorflow.framework

If you specify any endpoint, this will replace all of the inherited endpoints.

ApiDef.EndpointOrBuilder - Interface in org.tensorflow.framework

ApiDef.Visibility - Enum in org.tensorflow.framework

Protobuf enum tensorflow.ApiDef.Visibility

ApiDefOrBuilder - Interface in org.tensorflow.framework

ApiDefProtos - Class in org.tensorflow.framework

ApiDefs - Class in org.tensorflow.framework

Protobuf type tensorflow.ApiDefs

ApiDefs.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.ApiDefs

ApiDefsOrBuilder - Interface in org.tensorflow.framework

append(INDArray, int, double, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Append the given array with the specified value size along a particular axis.

append(T) - Method in class org.nd4j.linalg.api.ops.aggregates.Batch

This method tries to append aggregate to the current batch, if it has free room

APPEND - org.nd4j.autodiff.listeners.impl.UIListener.FileMode

appendBias(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

appendBias(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Merge the vectors and append a bias.

appendBias(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

apply(I) - Method in interface org.nd4j.adapters.InputAdapter

This method converts input object to MultiDataSet

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsoluteEquals

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.And

apply(Number) - Method in interface org.nd4j.linalg.indexing.conditions.Condition

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsFinite

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsNaN

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThan

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.Not

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.NotFinite

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.Or

apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Identity

apply(Number) - Method in class org.nd4j.linalg.indexing.functions.StableNumber

apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Value

apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Zero

apply(INDArray) - Method in class org.nd4j.autodiff.validation.functions.EqualityFn

apply(INDArray) - Method in class org.nd4j.autodiff.validation.functions.RelErrorFn

apply(INDArray...) - Method in interface org.nd4j.adapters.OutputAdapter

This method provides conversion from multiple INDArrays to T

apply(INDArray, INDArray) - Method in class org.nd4j.linalg.util.ND4JTestUtils.EqualsFn

apply(INDArray, INDArray) - Method in class org.nd4j.linalg.util.ND4JTestUtils.EqualsWithEpsFn

apply(INDArray, INDArray, double, int, int) - Method in class org.nd4j.linalg.learning.regularization.L1Regularization

apply(INDArray, INDArray, double, int, int) - Method in class org.nd4j.linalg.learning.regularization.L2Regularization

apply(INDArray, INDArray, double, int, int) - Method in interface org.nd4j.linalg.learning.regularization.Regularization

Apply the regularization by modifying the gradient array in-place

apply(INDArray, INDArray, double, int, int) - Method in class org.nd4j.linalg.learning.regularization.WeightDecay

ApplyGradientDescent - Class in org.nd4j.linalg.api.ops.impl.shape

ApplyGradientDescent() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent

applyLR - Variable in class org.nd4j.linalg.learning.regularization.WeightDecay

applyMask(SameDiff, SDVariable, SDVariable, int) - Static method in class org.nd4j.linalg.indexing.masking.Masking

applyMask(INDArray, INDArray) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

A minor shortcut for applying a bitmask to a matrix

applyMask(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil

applyMask(INDArray, INDArray, int) - Static method in class org.nd4j.linalg.indexing.masking.Masking

Applies a boolean mask to the given input.

applyMaskInPlace(INDArray, INDArray) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

A minor shortcut for applying a bitmask to a matrix

applyStep() - Method in class org.nd4j.linalg.learning.regularization.L1Regularization

applyStep() - Method in class org.nd4j.linalg.learning.regularization.L2Regularization

applyStep() - Method in interface org.nd4j.linalg.learning.regularization.Regularization

applyStep() - Method in class org.nd4j.linalg.learning.regularization.WeightDecay

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AdaBeliefUpdater

Calculate the update based on the given gradient

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AdaDeltaUpdater

Get the updated gradient for the given gradient and also update the state of ada delta.

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AdaGradUpdater

Gets feature specific learning rates Adagrad keeps a history of gradients being passed in.

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AdaMaxUpdater

Calculate the update based on the given gradient

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AdamUpdater

Calculate the update based on the given gradient

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AMSGradUpdater

applyUpdater(INDArray, int, int) - Method in interface org.nd4j.linalg.learning.GradientUpdater

Modify the gradient to be an update.

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.NadamUpdater

Calculate the update based on the given gradient

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.NesterovsUpdater

Get the nesterov update

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.NoOpUpdater

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.RmsPropUpdater

applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.SgdUpdater

arange(double) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a 1D array of evenly spaced values between 0 (inclusive) and end (exclusive) with a step size of 1 See Nd4j.arange(double, double, double) with begin = 0 and step size 1.

arange(double, double) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a 1D array of evenly spaced values between begin (inclusive) and end (exclusive) with a step size of 1 See Nd4j.arange(double, double, double) with step size 1.

arange(double, double, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Array of evenly spaced values.

arange(double, double, double) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a 1D array of evenly spaced values between begin (inclusive) and end (exclusive) with a step size.

arange(double, double, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Array of evenly spaced values.

areEqualShapes(INDArray...) - Static method in class org.nd4j.linalg.api.ops.impl.shape.MergeMaxIndex

areShapesBroadcastable(@lombok.NonNull int[], @lombok.NonNull int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

areShapesBroadcastable(@lombok.NonNull long[], @lombok.NonNull long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

arg() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Return the first argument

arg(int) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Return the specified argument for this function

ARG_ORDER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

ArgAmax - Class in org.nd4j.linalg.api.ops.impl.indexaccum.custom

ArgAmax() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

ArgAmax(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

ArgAmax(SameDiff, SDVariable[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

ArgAmax(INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

ArgAmax(INDArray[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

ArgAmax(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

ArgAmax(INDArray[], INDArray[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

ArgAmax(INDArray[], INDArray[], boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

ArgAmin - Class in org.nd4j.linalg.api.ops.impl.indexaccum.custom

ArgAmin() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

ArgAmin(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

ArgAmin(SameDiff, SDVariable[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

ArgAmin(INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

ArgAmin(INDArray[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

ArgAmin(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

ArgAmin(INDArray[], INDArray[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

ArgAmin(INDArray[], INDArray[], boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

ARGDESCRIPTOR_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.OpDescriptor

ARGINDEX_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

argmax(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.argmax(String, boolean, int...)

argmax(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.

Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

argmax(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.argmax(String, boolean, int...)

argmax(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmax(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmax(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmax(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argMax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

argMax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns index of highest value along specified dimension(s)

argMax(INDArray, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Get the maximum values for a dimension.

ArgMax - Class in org.nd4j.linalg.api.ops.impl.indexaccum.custom

ArgMax() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(String, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(String, SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(String, SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(String, INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(String, INDArray[], INDArray[], List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(String, INDArray[], INDArray[], List<Double>, List<Integer>, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(String, INDArray, INDArray, List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(SameDiff, SDVariable[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(SameDiff, SDVariable[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(SameDiff, SDVariable[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(SameDiff, SDVariable, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(INDArray[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(INDArray[], INDArray[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(INDArray[], INDArray[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(INDArray[], INDArray[], boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

ArgMax(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

argmin(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.argmin(String, boolean, int...)

argmin(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.

Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

argmin(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.argmin(String, boolean, int...)

argmin(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmin(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmin(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmin(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmin(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argmin(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

argMin(INDArray, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.argMax(INDArray, int...) but return minimum values.

ArgMin - Class in org.nd4j.linalg.api.ops.impl.indexaccum.custom

ArgMin() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(String, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(String, SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(String, SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(String, INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(String, INDArray[], INDArray[], List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(String, INDArray[], INDArray[], List<Double>, List<Integer>, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(String, INDArray, INDArray, List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(SameDiff, SDVariable[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(SameDiff, SDVariable[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(SameDiff, SDVariable[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(SameDiff, SDVariable, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(INDArray[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(INDArray[], INDArray[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(INDArray[], INDArray[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(INDArray[], INDArray[], boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

ArgMin(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

argNames() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

ARGOPTIONAL_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

args() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Return the arguments for a given function

args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.GRUCellConfiguration

args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration

args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.GRUWeights

args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights

args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMWeights

args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights

args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.SRUWeights

args(SDVariable, SDVariable, SDVariable, SDVariable[]) - Static method in class org.nd4j.autodiff.samediff.ControlFlow

Create the arguments used in ControlFlow.condBody() and ControlFlow.loopWithConditions(String[], String, SameDiff, SameDiff, String, SDVariable[], String[], String[])

argsFromInputs(SDVariable[]) - Static method in class org.nd4j.autodiff.samediff.ControlFlow

Create ControlFlow.LoopLambdaArgs from the given arguments.

argsWithInputs(SDVariable...) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights

argsWithInputs(SDVariable...) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights

argsWithInputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights

argsWithInputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights

ARGTYPE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

ArgumentInterceptor - Interface in org.nd4j.autodiff.samediff

arguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

ARITHMETIC_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

array() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

array() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns the backing array of this buffer (if there is one)

array() - Method in class org.nd4j.list.BaseNDArrayList

Get a view of the underlying array relative to the size of the actual array.

array() - Method in class org.nd4j.list.NDArrayList

Get a view of the underlying array relative to the size of the actual array.

ARRAY - org.nd4j.autodiff.samediff.VariableType

ARRAY - Static variable in class org.nd4j.graph.UIEventType

ARRAY - Static variable in class org.nd4j.graph.VarType

ARRAY_LIST - Static variable in class org.nd4j.graph.UIEventType

arrayAlreadyExistsForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns true if the given vertex id and INDArray already exist.

arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.GRUWeights

arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights

arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMWeights

arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights

arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.SRUWeights

ArrayCacheMemoryMgr - Class in org.nd4j.autodiff.samediff.internal.memory

ArrayCacheMemoryMgr() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr

Create an ArrayCacheMemoryMgr with default settings as per ArrayCacheMemoryMgr

ArrayCacheMemoryMgr(double, long, double) - Constructor for class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr

ArrayDescriptor - Class in org.nd4j.linalg.cache

ArrayDescriptor(boolean[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor

ArrayDescriptor(double[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor

ArrayDescriptor(float[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor

ArrayDescriptor(int[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor

ArrayDescriptor(long[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor

arrayFor(long[], boolean[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BoolTensorMapper

arrayFor(long[], double[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float64TensorMapper

arrayFor(long[], float[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BFloat16TensorMapper

arrayFor(long[], float[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float16TensorMapper

arrayFor(long[], float[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float32TensorMapper

arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int16TensorMapper

arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int32TensorMapper

arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int8TensorMapper

arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt16TensorMapper

arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt8TensorMapper

arrayFor(long[], long[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int64TensorMapper

arrayFor(long[], long[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt32TensorMapper

arrayFor(long[], long[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt64TensorMapper

arrayFor(long[], J) - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

arrayFor(long[], String[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.StringTensorMapper

ArrayHolder - Interface in org.nd4j.autodiff.samediff

arrayId - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

arrayInfo(INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

arrayNames() - Method in class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

arrayNames() - Method in class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder

arrayNames() - Method in class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder

arrayNames() - Method in interface org.nd4j.autodiff.samediff.ArrayHolder

ArrayOptionsHelper - Class in org.nd4j.linalg.api.shape.options

ArrayOptionsHelper() - Constructor for class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

arrayOrdering - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

arrayRecoveryFunction(String, Supplier<INDArray>) - Method in class org.nd4j.autodiff.samediff.optimize.OptimizationHelper

ArraySavingListener - Class in org.nd4j.autodiff.listeners.debugging

ArraySavingListener(File) - Constructor for class org.nd4j.autodiff.listeners.debugging.ArraySavingListener

arrayShape - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

This is a proxy class so that ndarrays can be serialized and deserialized independent of the backend Be it cpu or gpu

arrayType(long[]) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

ArrayType - Enum in org.nd4j.linalg.api.concurrency

ArrayType - Enum in org.nd4j.linalg.api.shape.options

asArray() - Method in class org.nd4j.autodiff.execution.input.Operands

This method return operands as array, in order of addition

asBoolPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

asBytePointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

asBytes() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asBytes() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Raw byte array storage

asCollection() - Method in class org.nd4j.autodiff.execution.input.Operands

This method returns contents of this entity as collection of key->value pairs

asDataType(DataType) - Method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

Return a new LongShapeDescriptor with the same shape, strides, order etc but with the specified datatype instead

asDouble() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asDouble() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Return the buffer as a double array Relative to the datatype, this will either be a copy or a reference.

asDoublePointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

asFlatBuffers(boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

This method exports the current SameDiff instance into FlatBuffers format, returning the array ops and all arrays as a ByteBuffer containing the FlatBuffers format data Uses the default ExecutorConfiguration with output mode as OutputMode.VARIABLE_SPACE, execution mode as ExecutionMode.SEQUENTIAL, with profiling disabled and gather timings enabled.

asFlatBuffers(long, ExecutorConfiguration, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

This method exports the current SameDiff instance into FlatBuffers format, returning the array ops and all arrays as a ByteBuffer containing the FlatBuffers format data

asFlatBuffers(ExecutorConfiguration, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

This method exports the current SameDiff instance into FlatBuffers format, returning the array ops and all arrays as a ByteBuffer containing the FlatBuffers format data

asFlatFile(File) - Method in class org.nd4j.autodiff.samediff.SameDiff

This method converts SameDiff instance to FlatBuffers and saves it to file which can be restored later
This includes the updater state, if applicable.

asFlatFile(File, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.asFlatFile(File, ExecutorConfiguration, boolean).

asFlatFile(File, ExecutorConfiguration, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

This method converts SameDiff instance to FlatBuffers and saves it to file which can be restored later

asFlatGraph(boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.asFlatGraph(long, ExecutorConfiguration, boolean).

asFlatGraph(long, ExecutorConfiguration, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

This method returns FlatGraph structure

asFlatNode(SameDiff, DifferentialFunction, FlatBufferBuilder, List<SDVariable>, Map<String, Integer>, Map<String, Integer>, Map<String, Integer>, AtomicInteger, Integer) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

asFlatNode(String, SameDiff, FlatBufferBuilder) - Method in class org.nd4j.autodiff.samediff.SameDiff

asFlatPrint() - Method in class org.nd4j.autodiff.samediff.SameDiff

This method returns a text representation of the "flattened" graph.

asFloat() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asFloat() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Return the buffer as a float array Relative to the datatype, this will either be a copy or a reference.

asFloatPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

asin(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise asin (arcsin, inverse sine) operation: out = arcsin(x)

asin(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise asin (arcsin, inverse sine) operation: out = arcsin(x)

asin(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise asin (arcsin, inverse sine) operation: out = arcsin(x)

asin(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

asin(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

ASin - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

ASin(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin

ASin(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin

ASin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin

ASin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin

asinh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise asinh (inverse hyperbolic sine) function: out = asinh(x)

asinh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise asinh (inverse hyperbolic sine) function: out = asinh(x)

asinh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise asinh (inverse hyperbolic sine) function: out = asinh(x)

ASinh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

ASinh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

ASinh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

ASinh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

ASinh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

ASinh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

asInt() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asInt() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Return the buffer as an int array Relative to the datatype, this will either be a copy or a reference.

asIntPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

asList() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Extract each example in the DataSet into its own DataSet object, and return all of them as a list

asList() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

SplitV the MultiDataSet into a list of individual examples.

asList() - Method in class org.nd4j.linalg.dataset.DataSet

asList() - Method in class org.nd4j.linalg.dataset.MultiDataSet

asLong() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asLong() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Return the buffer as an long array Relative to the datatype, this will either be a copy or a reference.

asLongPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

asNio() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asNio() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns a view of this as an nio byte buffer

asNioDouble() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asNioDouble() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns a view of this as an nio byte buffer

asNioFloat() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asNioFloat() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns a view of this as an nio byte buffer

asNioInt() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asNioInt() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns a view of this as an nio byte buffer

asNioLong() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

asNioLong() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

asPercentageString() - Method in class org.nd4j.linalg.profiler.data.StringAggregator

asSameDiff(String, SameDiff, SDVariable) - Method in enum org.nd4j.linalg.activations.Activation

Get the Activation as a SameDiff variable

asSameDiff(SameDiff, SDVariable) - Method in enum org.nd4j.linalg.activations.Activation

Get the Activation as a SameDiff variable

Assert - Class in org.nd4j.linalg.api.ops.impl.transforms

Assert() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Assert

Assert(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Assert

Assert(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Assert

assertAllConfigured(CustomOp, int) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

Asserts that at least the number of arguments on the given op is met.

assertBroadcastable(@lombok.NonNull int[], @lombok.NonNull int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

assertBroadcastable(@lombok.NonNull long[], @lombok.NonNull long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

assertBroadcastable(@lombok.NonNull long[], @lombok.NonNull long[], Class<?>) - Static method in class org.nd4j.linalg.api.shape.Shape

assertBroadcastable(INDArray, INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

assertBroadcastable(String, INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

Assert that the broadcast operation result = first.op(second) is valid, given the shapes of first, second, and result.
Throws an exception otherwise

assertColumns(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertConfigValid() - Method in class org.nd4j.autodiff.validation.TestCase

assertCurrentWorkspace(T, String) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

assertCurrentWorkspace(T, String) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Assert that the current workspace is the one for the specified array type.

assertDouble(INDArray) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertDouble(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertFloat(INDArray) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertFloat(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertMatrix(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertMatrix(INDArray...) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertMultiplies(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

Asserts matrix multiply rules (columns of left == rows of right or rows of left == columns of right)

assertNotOpen(T, String) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

assertNotOpen(T, String) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Assert thath the workspace for the specified array type is not open.

assertNoWorkspacesOpen(String) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils

Assert that no workspaces are currently open

assertNoWorkspacesOpen(String, boolean) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils

Assert that no workspaces are currently open

assertOpen(T, String) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

assertOpen(T, String) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Assert thath the workspace for the specified array type is open.

assertOpenActiveAndCurrent(String, String) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils

Assert that the specified workspace is open, active, and is the current workspace

assertOpenAndActive(String, String) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils

Assert that the specified workspace is open and active

assertRows(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertSameDataType(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertSameLength(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

Asserts both arrays be the same length

assertSameLength(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertSameShape(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertSameShape(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertShape(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.BaseActivationFunction

assertShapeLessThan(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Assert the both shapes are the same length and shape[i] < lessThan[i]

assertShapeLessThan(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

assertSlice(INDArray, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

assertValidArray(INDArray, String) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils

Assert that the specified array is valid, in terms of workspaces: i.e., if it is attached (and not in a circular workspace), assert that the workspace is open, and that the data is not from an old generation.

assertValidForExecution() - Method in interface org.nd4j.linalg.api.ops.CustomOp

Asserts a valid state for execution, otherwise throws an ND4JIllegalStateException

assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp

assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp

assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

assertValidNum(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertValidOrder(char) - Static method in class org.nd4j.linalg.api.shape.Shape

assertVector(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertVector(INDArray...) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

ASSET_FILE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef

AssetFileDef - Class in org.tensorflow.framework

An asset file def for a single file or a set of sharded files with the same name.

AssetFileDef.Builder - Class in org.tensorflow.framework

An asset file def for a single file or a set of sharded files with the same name.

AssetFileDefOrBuilder - Interface in org.tensorflow.framework

asShortPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

assign(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

assign(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Set all entries of the ndarray to the specified value

assign(long[], double[], boolean) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(long[], double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the given elements to the given indices

assign(long[], double[], boolean, long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(long[], double[], boolean, long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the given elements to the given indices

assign(long[], float[], boolean) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(long[], float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the given elements to the given indices

assign(long[], float[], boolean, long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(long[], float[], boolean, long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the given elements to the given indices

assign(long[], long[], long, DataBuffer...) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(long[], long[], long, DataBuffer...) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the given buffers to this buffer based on the given offsets and strides.

assign(long[], long[], DataBuffer...) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(long[], long[], DataBuffer...) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the given buffers to this buffer based on the given offsets and strides.

assign(Number) - Method in class org.nd4j.autodiff.samediff.SDVariable

Return a variable with equal shape to the input, but all elements set to the specified value

assign(Number) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(Number) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the given value to the buffer

assign(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

assign(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Set all entries of the ndarray to the specified value

assign(Number, long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(Number, long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the given value to the buffer starting at offset

assign(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Assign the contents of y to x.
Y must be broadcastable to x or the same shape.

assign(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Assign the contents of y to x.
Y must be broadcastable to x or the same shape.

assign(DataBuffer) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(DataBuffer) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the contents of this buffer to this buffer

assign(DataBuffer...) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

assign(DataBuffer...) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign the given data buffers to this buffer

assign(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

assign(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Assign all of the elements in the given ndarray to this ndarray

assign(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Assign the contents of y to x.
Y must be broadcastable to x or the same shape.

Assign - Class in org.nd4j.linalg.api.ops.impl.transforms.any

Assign - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Assign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.Assign

Assign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

Assign(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.Assign

Assign(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

Assign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.Assign

Assign(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

Assign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.Assign

Assign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

ASSIGN - org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate.UpdateOp

assignArray(INDArray, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff

Update the constant or variable type SDVariable with the values from the specified array.

assignIf(INDArray, INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

This method does element-wise comparison for 2 equal-sized matrices, for each element that matches Condition.

assignIf(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

assignIf(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Assign all elements from given ndarray that are matching given condition, ndarray to this ndarray

assignNewId() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

associateArrayWithVariable(INDArray, String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Associate the array with the given variable.

associateArrayWithVariable(INDArray, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff

Associate the array with the given variable.

associatedVariable(int) - Method in class org.nd4j.graph.SequenceItem

associatedVariable(FlatArray, int) - Method in class org.nd4j.graph.SequenceItem

associatedVariableLength() - Method in class org.nd4j.graph.SequenceItem

associatedVariableVector() - Method in class org.nd4j.graph.SequenceItem

associatedVariableVector(FlatArray.Vector) - Method in class org.nd4j.graph.SequenceItem

associateSameDiffWithOpsAndVariables() - Method in class org.nd4j.autodiff.samediff.SameDiff

Associate the current SameDiff instance with all ops and variables.

asString() - Method in class org.nd4j.linalg.profiler.data.StringAggregator

asString() - Method in class org.nd4j.linalg.profiler.data.StringCounter

asUIEventSubtype() - Method in enum org.nd4j.graph.ui.LogFileWriter.EventSubtype

asum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

asum(long, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1

sum of magnitudes of all elements

asum(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x))

asum(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x))

asum(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x))

asum(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x))

asum(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum

asum(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum

asum(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

asum(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute || x ||_1 (1-norm, sum of absolute values)

asum(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x))

asum(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x))

ASum - Class in org.nd4j.linalg.api.ops.impl.reduce.same

ASum() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASum(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

ASYMMETRIC - org.nd4j.enums.CoordinateTransformationMode

ASYNC_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

AsyncDataSetIterator - Class in org.nd4j.linalg.dataset

AsyncDataSetIterator() - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

AsyncDataSetIterator(DataSetIterator) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

Create an Async iterator with the default queue size of 8

AsyncDataSetIterator(DataSetIterator, int) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

AsyncDataSetIterator(DataSetIterator, int, boolean) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

AsyncDataSetIterator(DataSetIterator, int, boolean, Integer) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

AsyncDataSetIterator(DataSetIterator, int, boolean, DataSetCallback) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

Create an Async iterator with the default queue size of 8

AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>, boolean) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>, boolean, DataSetCallback) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>, boolean, DataSetCallback, Integer) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator

AsyncDataSetIterator.AsyncPrefetchThread - Class in org.nd4j.linalg.dataset

AsyncMultiDataSetIterator - Class in org.nd4j.linalg.dataset

AsyncMultiDataSetIterator() - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

AsyncMultiDataSetIterator(MultiDataSetIterator) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

AsyncMultiDataSetIterator(MultiDataSetIterator, int) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

AsyncMultiDataSetIterator(MultiDataSetIterator, int, boolean) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

AsyncMultiDataSetIterator(MultiDataSetIterator, int, boolean, Integer) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean, DataSetCallback) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean, DataSetCallback, Integer) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

AsyncMultiDataSetIterator.AsyncPrefetchThread - Class in org.nd4j.linalg.dataset

AsyncPrefetchThread(BlockingQueue<MultiDataSet>, MultiDataSetIterator, MultiDataSet, int) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator.AsyncPrefetchThread

AsyncPrefetchThread(BlockingQueue<DataSet>, DataSetIterator, DataSet, MemoryWorkspace, int) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator.AsyncPrefetchThread

asyncSupported() - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

asyncSupported() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

asyncSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching.

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

asyncSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator

Does this MultiDataSetIterator support asynchronous prefetching of multiple MultiDataSet objects? Most MultiDataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching.

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching.

asyncSupported() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching.

asyncSupported() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.ViewIterator

At - Class in org.nd4j.autodiff.listeners

At() - Constructor for class org.nd4j.autodiff.listeners.At

atan(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise atan (arctangent, inverse tangent) operation: out = arctangent(x)

atan(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise atan (arctangent, inverse tangent) operation: out = arctangent(x)

atan(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise atan (arctangent, inverse tangent) operation: out = arctangent(x)

atan(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

atan(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

ATan - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

ATan(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan

ATan(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan

ATan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan

ATan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan

atan2(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Atan2 operation, new INDArray instance will be returned Note the order of x and y parameters is opposite to that of Math.atan2(double, double)

atan2(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise atan (arctangent, inverse tangent) operation: out = atan2(x,y).
Similar to atan(y/x) but sigts of x and y are used to determine the location of the result

atan2(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise atan (arctangent, inverse tangent) operation: out = atan2(x,y).
Similar to atan(y/x) but sigts of x and y are used to determine the location of the result

atan2(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise atan (arctangent, inverse tangent) operation: out = atan2(x,y).
Similar to atan(y/x) but sigts of x and y are used to determine the location of the result

ATan2 - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

ATan2() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2

ATan2(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2

ATan2(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2

Note that the order of x and y match Math.atan2(double, double), and are reversed when compared to OldATan2.

ATan2(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2

Note that the order of x and y match Math.atan2(double, double), and are reversed when compared to OldATan2.

atanh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise atanh (inverse hyperbolic tangent) function: out = atanh(x)

atanh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise atanh (inverse hyperbolic tangent) function: out = atanh(x)

atanh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise atanh (inverse hyperbolic tangent) function: out = atanh(x)

atanh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sin function

atanh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sin function

ATanh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

ATanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

ATanh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

ATanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

ATanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

ATanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

AtomicThrowable - Class in org.nd4j.linalg.util

AtomicThrowable() - Constructor for class org.nd4j.linalg.util.AtomicThrowable

This method creates new instance

AtomicThrowable(Exception) - Constructor for class org.nd4j.linalg.util.AtomicThrowable

This method creates new instance with given initial state

attached - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

attachThread(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator

This method sets consumer affinity to specific producer PLEASE NOTE: this method is optional, and it'll change only nextFor()/hasNextFor() mechanics

attachThread(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator

This method sets consumer affinity to specific producer PLEASE NOTE: this method is optional, and it'll change only nextFor()/hasNextFor() mechanics

attempFromLegacyFromJson(String, InvalidTypeIdException) - Static method in class org.nd4j.evaluation.BaseEvaluation

Attempt to load DL4J IEvaluation JSON from 1.0.0-beta2 or earlier.

ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDef

ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NameAttrList

ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeDef

ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

ATTRIBUTE_FIELD_NUMBER - Static variable in class onnx.Onnx.FunctionProto

ATTRIBUTE_FIELD_NUMBER - Static variable in class onnx.Onnx.NodeProto

ATTRIBUTE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.FunctionProto

ATTRIBUTE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.NodeProto

AttributeAdapter - Interface in org.nd4j.imports.descriptors.properties

attributeAdaptersForFunction() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Returns the AttributeAdapter s for each of the possible ops for import (typically tensorflow and onnx) See AttributeAdapter for more information on what the adapter does.

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat

attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

ATTRIBUTES_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

ATTRS_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.Operation

AttrValue - Class in org.tensorflow.framework

Protocol buffer representing the value for an attr used to configure an Op.

AttrValue.Builder - Class in org.tensorflow.framework

Protocol buffer representing the value for an attr used to configure an Op.

AttrValue.ListValue - Class in org.tensorflow.framework

LINT.IfChange

AttrValue.ListValue.Builder - Class in org.tensorflow.framework

LINT.IfChange

AttrValue.ListValueOrBuilder - Interface in org.tensorflow.framework

AttrValue.ValueCase - Enum in org.tensorflow.framework

AttrValueOrBuilder - Interface in org.tensorflow.framework

AttrValueProtos - Class in org.tensorflow.framework

ATYPE_COMPRESSED_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

ATYPE_EMPTY_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

ATYPE_SPARSE_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

AUDIO - org.tensorflow.framework.Summary.Value.ValueCase

AUDIO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value

AUPRC - org.nd4j.evaluation.classification.ROC.Metric

AUPRC - org.nd4j.evaluation.classification.ROCBinary.Metric

AUPRC - org.nd4j.evaluation.classification.ROCMultiClass.Metric

AUROC - org.nd4j.evaluation.classification.ROC.Metric

AUROC - org.nd4j.evaluation.classification.ROCBinary.Metric

AUROC - org.nd4j.evaluation.classification.ROCMultiClass.Metric

AUTO - org.nd4j.autodiff.execution.conf.ExecutionMode

all operations that can be executed in parallel - will be executed in parallel

AUTO - Static variable in class org.nd4j.graph.ExecutionMode

AUTO_PARALLEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

autoDecompress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

autoDecompress(INDArray...) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Decompress several ndarrays

AutoParallelOptions - Class in org.tensorflow.framework

Protobuf type tensorflow.AutoParallelOptions

AutoParallelOptions.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.AutoParallelOptions

AutoParallelOptionsOrBuilder - Interface in org.tensorflow.framework

autoProcessScalarCall() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

availableCheckpoints() - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

List all available checkpoints.

availableCheckpoints(File) - Static method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

List all available checkpoints.

aVector() - Method in class org.nd4j.graph.FlatProperties

aVector(FlatArray.Vector) - Method in class org.nd4j.graph.FlatProperties

average(Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method averages input arrays, and returns averaged array

average(List<Loss>) - Static method in class org.nd4j.autodiff.listeners.Loss

average(INDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method averages input arrays, and returns averaged array

average(INDArray, Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method averages input arrays, and returns averaged array

average(INDArray, INDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method averages input arrays, and returns averaged array

averageAccuracy() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

averageAndPropagate(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

This method averages input arrays, and returns averaged array.

averageAndPropagate(INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method averages input arrays, and returns averaged array.

averageAndPropagate(INDArray, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

This method averages input arrays, and returns averaged array.

averagecorrelationR2() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Deprecated.

Use RegressionEvaluation.averagePearsonCorrelation() instead. For the R2 score use RegressionEvaluation.averageRSquared().

averageF1() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

averageF1NumClassesExcluded() - Method in class org.nd4j.evaluation.classification.Evaluation

When calculating the (macro) average F1, how many classes are excluded from the average due to no predictions - i.e., F1 would be calculated from a precision or recall of 0/0

averageFalseAlarmRate() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Average False Alarm Rate (FAR) (see EvaluationBinary.falseAlarmRate(int)) for all labels.

averageFBetaNumClassesExcluded() - Method in class org.nd4j.evaluation.classification.Evaluation

When calculating the (macro) average FBeta, how many classes are excluded from the average due to no predictions - i.e., FBeta would be calculated from a precision or recall of 0/0

averageGMeasure() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Average G-measure (see EvaluationBinary.gMeasure(int)) for all labels.

averageLoopTime - Variable in class org.nd4j.linalg.api.memory.BasicMemoryManager

averageMatthewsCorrelation() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Macro average of the Matthews correlation coefficient (MCC) (see EvaluationBinary.matthewsCorrelation(int)) for all labels.

averageMeanAbsoluteError() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Average MAE across all columns

averageMeanSquaredError() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Average MSE across all columns

averagePearsonCorrelation() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Average Pearson Correlation Coefficient across all columns

averagePrecision() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

averagePrecisionNumClassesExcluded() - Method in class org.nd4j.evaluation.classification.Evaluation

When calculating the (macro) average precision, how many classes are excluded from the average due to no predictions - i.e., precision would be the edge case of 0/0

averageRecall() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

averageRecallNumClassesExcluded() - Method in class org.nd4j.evaluation.classification.Evaluation

When calculating the (macro) average Recall, how many classes are excluded from the average due to no predictions - i.e., recall would be the edge case of 0/0

averagerelativeSquaredError() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Average RSE across all columns

averagerootMeanSquaredError() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Average RMSE across all columns

averageRSquared() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Average R2 across all columns

averagingEnabled - Variable in class org.nd4j.linalg.api.memory.BasicMemoryManager

AveragingTransactionsHolder - Class in org.nd4j.linalg.api.ops.performance.primitives

AveragingTransactionsHolder() - Constructor for class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder

AVG - org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D.Pooling2DType

AVG - org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D.Pooling2DType

AVG - org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D.Pooling3DType

avgMs() - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.OpExec

avgPooling2d(String, SDVariable, Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution layer operation - average pooling 2d

avgPooling2d(SDVariable, Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution layer operation - average pooling 2d

avgPooling2d(INDArray, Pooling2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

2D Convolution layer operation - average pooling 2d

AvgPooling2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Average Pooling2D operation

AvgPooling2D(INDArray, INDArray, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

AvgPooling2D(INDArray, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

AvgPooling2D(SameDiff, SDVariable, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

AvgPooling2D.Pooling2DType - Enum in org.nd4j.linalg.api.ops.impl.layers.convolution

avgPooling3d(String, SDVariable, Pooling3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D convolution layer operation - average pooling 3d

avgPooling3d(SDVariable, Pooling3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D convolution layer operation - average pooling 3d

avgPooling3d(INDArray, Pooling3DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

3D convolution layer operation - average pooling 3d

AvgPooling3D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

AvgPooling3D(INDArray, Pooling3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

AvgPooling3D(SameDiff, SDVariable, Pooling3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

axis - Variable in class org.nd4j.evaluation.classification.Evaluation

axis - Variable in class org.nd4j.evaluation.classification.EvaluationBinary

axis - Variable in class org.nd4j.evaluation.classification.EvaluationCalibration

axis - Variable in class org.nd4j.evaluation.classification.ROC

axis - Variable in class org.nd4j.evaluation.classification.ROCBinary

axis - Variable in class org.nd4j.evaluation.classification.ROCMultiClass

axis - Variable in class org.nd4j.evaluation.regression.RegressionEvaluation

axis - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

AXISARG - org.nd4j.ir.MapperNamespace.OpListType

AXISARG = 6;

AXISARG_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.OpListType

AXISARG = 6;

axpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

axpy(double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

axpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

axpy(float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

axpy(long, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

axpy(long, double, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1

computes a vector-scalar product and adds the result to a vector.

axpy(long, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes a vector-scalar product and adds the result to a vector.

axpy(long, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes a vector-scalar product and adds the result to a vector.

axpy(Number, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

axpy(Number, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute y <- y + x * alpha

Axpy - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

Axpy() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

Axpy(SameDiff, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

Axpy(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

Axpy(SameDiff, SDVariable, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

Axpy(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

Axpy(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

Axpy(INDArray, INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

B

b - org.nd4j.autodiff.listeners.profiler.data.Phase

b(int) - Method in class org.nd4j.graph.FlatProperties

B - org.nd4j.autodiff.listeners.profiler.data.Phase

B - org.tensorflow.framework.AttrValue.ValueCase

B_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

B_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue

BACK_PROP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

backedIterator - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

backedIterator - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

backend - Static variable in class org.nd4j.linalg.factory.Nd4j

BACKEND_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

BACKEND_PRIORITY_AURORA - Static variable in class org.nd4j.linalg.factory.Nd4jBackend

BACKEND_PRIORITY_CPU - Static variable in class org.nd4j.linalg.factory.Nd4jBackend

BACKEND_PRIORITY_GPU - Static variable in class org.nd4j.linalg.factory.Nd4jBackend

backingMap - Variable in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

backingMap - Variable in class org.nd4j.linalg.util.DeviceLocal

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationCube

backprop(INDArray, INDArray) - Method in interface org.nd4j.linalg.activations.IActivation

Backpropagate the errors through the activation function, given input z and epsilon dL/da.
Returns 2 INDArrays:
(a) The gradient dL/dz, calculated from dL/da, and
(b) The parameter gradients dL/dW, where w is the weights in the activation function.

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationELU

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationGELU

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationMish

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationPReLU

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU6

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSELU

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSwish

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationTanH

backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU

BACKWARD_ONLY - Static variable in class org.nd4j.graph.Direction

BAD_CONSUMERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VersionDef

balance() - Method in class org.nd4j.linalg.dataset.BalanceMinibatches

Generate a balanced dataset minibatch fileset.

BalanceMinibatches - Class in org.nd4j.linalg.dataset

BalanceMinibatches() - Constructor for class org.nd4j.linalg.dataset.BalanceMinibatches

BANDWIDTH - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

BANDWIDTH_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

BARG - org.nd4j.ir.MapperNamespace.OpListType

BARG = 2;

BARG_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.OpListType

BARG = 2;

bArgs() - Method in interface org.nd4j.linalg.api.ops.CustomOp

bArgs() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

bArgs(LSTMLayerWeights, T, T, T) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

bArgs(LSTMLayerWeights, T, T, T) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

bArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

BarnesEdgeForces - Class in org.nd4j.linalg.api.ops.custom

BarnesEdgeForces() - Constructor for class org.nd4j.linalg.api.ops.custom.BarnesEdgeForces

BarnesEdgeForces(INDArray, INDArray, INDArray, INDArray, long, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.BarnesEdgeForces

BarnesHutGains - Class in org.nd4j.linalg.api.ops.custom

BarnesHutGains() - Constructor for class org.nd4j.linalg.api.ops.custom.BarnesHutGains

BarnesHutGains(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.BarnesHutGains

BarnesHutSymmetrize - Class in org.nd4j.linalg.api.ops.custom

BarnesHutSymmetrize() - Constructor for class org.nd4j.linalg.api.ops.custom.BarnesHutSymmetrize

BarnesHutSymmetrize(INDArray, INDArray, INDArray, long, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.BarnesHutSymmetrize

bAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties

base64String(INDArray) - Static method in class org.nd4j.serde.base64.Nd4jBase64

Returns an ndarray as base 64

BaseActivationFunction - Class in org.nd4j.linalg.activations

BaseActivationFunction() - Constructor for class org.nd4j.linalg.activations.BaseActivationFunction

BaseAggregate - Class in org.nd4j.linalg.api.ops.aggregates

BaseAggregate() - Constructor for class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

BaseArithmeticBackpropOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

BaseArithmeticBackpropOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.BaseArithmeticBackpropOp

BaseArithmeticBackpropOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.BaseArithmeticBackpropOp

BaseBlasWrapper - Class in org.nd4j.linalg.factory

Base implementation of a blas wrapper that delegates things to the underlying level.

BaseBlasWrapper() - Constructor for class org.nd4j.linalg.factory.BaseBlasWrapper

BaseBroadcastBoolOp - Class in org.nd4j.linalg.api.ops

BaseBroadcastBoolOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

BaseBroadcastBoolOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

BaseBroadcastBoolOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

BaseBroadcastBoolOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

BaseBroadcastBoolOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

BaseBroadcastBoolOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

BaseBroadcastBoolOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

BaseBroadcastBoolOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

BaseBroadcastOp - Class in org.nd4j.linalg.api.ops

BaseBroadcastOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp

BaseBroadcastOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp

BaseBroadcastOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp

BaseBroadcastOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp

BaseBroadcastOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp

BaseBroadcastOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp

BaseBroadcastOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp

BaseBroadcastOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp

BaseCompatOp - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat

BaseCompatOp() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

BaseCompatOp(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

BaseCompatOp(INDArray...) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

BaseCondition - Class in org.nd4j.linalg.indexing.conditions

BaseCondition(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.BaseCondition

BaseConvolution - Class in org.nd4j.linalg.convolution

BaseConvolution() - Constructor for class org.nd4j.linalg.convolution.BaseConvolution

BaseConvolutionConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config

BaseConvolutionConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig

BaseCurve - Class in org.nd4j.evaluation.curves

BaseCurve() - Constructor for class org.nd4j.evaluation.curves.BaseCurve

BaseDataBuffer - Class in org.nd4j.linalg.api.buffer

BaseDataBuffer() - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer

BaseDataBuffer(Pointer, Indexer, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer

Meant for creating another view of a buffer

BaseDataBuffer(DataBuffer, long, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer

Meant for creating another view of a buffer

BaseDataFetcher - Class in org.nd4j.linalg.dataset.api.iterator.fetcher

BaseDataFetcher() - Constructor for class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

BaseDatasetIterator - Class in org.nd4j.linalg.dataset.api.iterator

BaseDatasetIterator(int, int, DataSetFetcher) - Constructor for class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

BaseDistribution - Class in org.nd4j.linalg.api.rng.distribution

BaseDistribution() - Constructor for class org.nd4j.linalg.api.rng.distribution.BaseDistribution

BaseDistribution(Random) - Constructor for class org.nd4j.linalg.api.rng.distribution.BaseDistribution

BaseDynamicCustomBoolReduction - Class in org.nd4j.linalg.api.ops.impl.reduce.custom

BaseDynamicCustomBoolReduction() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(String, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(String, SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(String, SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(String, INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(String, INDArray[], INDArray[], List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(String, INDArray[], INDArray[], List<Double>, List<Integer>, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(String, INDArray, INDArray, List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(SameDiff, SDVariable[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(SameDiff, SDVariable[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(SameDiff, SDVariable[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(SameDiff, SDVariable, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(INDArray[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(INDArray[], INDArray[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(INDArray[], INDArray[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomBoolReduction(INDArray[], INDArray[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

BaseDynamicCustomIndexReduction - Class in org.nd4j.linalg.api.ops.impl.reduce.custom

BaseDynamicCustomIndexReduction() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(String, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(String, SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(String, SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(String, INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(String, INDArray[], INDArray[], List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(String, INDArray[], INDArray[], List<Double>, List<Integer>, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(String, INDArray, INDArray, List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(SameDiff, SDVariable[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(SameDiff, SDVariable[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(SameDiff, SDVariable[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(SameDiff, SDVariable, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(INDArray[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(INDArray[], INDArray[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(INDArray[], INDArray[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomIndexReduction(INDArray[], INDArray[], boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

BaseDynamicCustomLongReduction - Class in org.nd4j.linalg.api.ops.impl.reduce.custom

BaseDynamicCustomLongReduction() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(String, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(String, SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(String, SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(String, INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(String, INDArray[], INDArray[], List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(String, INDArray[], INDArray[], List<Double>, List<Integer>, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(String, INDArray, INDArray, List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(SameDiff, SDVariable[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(SameDiff, SDVariable[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(SameDiff, SDVariable[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(SameDiff, SDVariable, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(INDArray[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(INDArray[], INDArray[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(INDArray[], INDArray[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomLongReduction(INDArray[], INDArray[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

BaseDynamicCustomReduction - Class in org.nd4j.linalg.api.ops.impl.reduce.custom

Base class for reduction.

BaseDynamicCustomReduction() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(String, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(String, SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(String, SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(String, INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(String, INDArray[], INDArray[], List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(String, INDArray[], INDArray[], List<Double>, List<Integer>, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(String, INDArray, INDArray, List<Double>, int[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(SameDiff, SDVariable[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(SameDiff, SDVariable[], boolean, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(SameDiff, SDVariable[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(SameDiff, SDVariable[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(SameDiff, SDVariable[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(SameDiff, SDVariable, boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(INDArray[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(INDArray[], INDArray[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(INDArray[], INDArray[], boolean, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(INDArray[], INDArray[], boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicCustomReduction(INDArray[], INDArray[], boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

BaseDynamicTransformOp - Class in org.nd4j.linalg.api.ops.impl.transforms

BaseDynamicTransformOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp

BaseDynamicTransformOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp

BaseDynamicTransformOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp

BaseEvaluation<T extends BaseEvaluation> - Class in org.nd4j.evaluation

BaseEvaluation() - Constructor for class org.nd4j.evaluation.BaseEvaluation

BaseEvaluationListener - Class in org.nd4j.autodiff.listeners

BaseEvaluationListener() - Constructor for class org.nd4j.autodiff.listeners.BaseEvaluationListener

BaseGridOp - Class in org.nd4j.linalg.api.ops.impl.grid

BaseGridOp() - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(List<Op>) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(GridPointers...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(OpDescriptor...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(Op...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseHistogram - Class in org.nd4j.evaluation.curves

BaseHistogram() - Constructor for class org.nd4j.evaluation.curves.BaseHistogram

BaseIndexAccumulation - Class in org.nd4j.linalg.api.ops

BaseIndexAccumulation() - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseIndexAccumulation(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseIndexAccumulation(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseIndexAccumulation(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseIndexAccumulation(INDArray, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseIndexAccumulation(INDArray, INDArray, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseLapack - Class in org.nd4j.linalg.api.blas.impl

BaseLapack() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLapack

BaseLegacyDeserializer<T> - Class in org.nd4j.serde.json

BaseLegacyDeserializer() - Constructor for class org.nd4j.serde.json.BaseLegacyDeserializer

BaseLevel - Class in org.nd4j.linalg.api.blas.impl

BaseLevel() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel

BaseLevel1 - Class in org.nd4j.linalg.api.blas.impl

BaseLevel1() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel1

BaseLevel2 - Class in org.nd4j.linalg.api.blas.impl

BaseLevel2() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel2

BaseLevel3 - Class in org.nd4j.linalg.api.blas.impl

BaseLevel3() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel3

BaseListener - Class in org.nd4j.autodiff.listeners

BaseListener() - Constructor for class org.nd4j.autodiff.listeners.BaseListener

BaseLoss - Class in org.nd4j.linalg.api.ops.impl.loss

BaseLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

BaseLoss(LossReduce, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

BaseLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

BaseLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

BaseLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp

BaseLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp

basement - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree

BaseMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta

BaseMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseMetaOp(GridPointers, GridPointers) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseMetaOp(Op, Op) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseNDArray - Class in org.nd4j.linalg.api.ndarray

BaseNDArray() - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(double[][]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Initialize the ndarray as a matrix with the given data (indices preserved)

BaseNDArray(double[][], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(double[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(double[], int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(double[], int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(double[], long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(double[], long[], long[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(double[], long[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(double[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[][]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Initialize the ndarray with the given data

BaseNDArray(float[][], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create this ndarray with the given data and shape and 0 offset

BaseNDArray(float[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create this ndarray with the given data and shape and 0 offset

BaseNDArray(float[], int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], long[], long[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], long[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(float[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create an ndarray with the given shape

BaseNDArray(int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create the ndarray with the specified shape and stride and an offset of 0

BaseNDArray(int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create the ndarray with the specified shape and stride and an offset of 0

BaseNDArray(int[], int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Construct an ndarray of the specified shape with an empty data array

BaseNDArray(int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Construct an ndarray of the specified shape with an empty data array

BaseNDArray(int[], int[], long, char, boolean) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Construct an ndarray of the specified shape.

BaseNDArray(int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(int[], DataBuffer) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create with the specified shape and buffer

BaseNDArray(int, int) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Creates a new n times m DoubleMatrix.

BaseNDArray(int, int, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Creates a new n times m DoubleMatrix.

BaseNDArray(long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(long[], long[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(long[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(long[], long[], long, char, boolean) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(long, long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(long, long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(List<INDArray>, int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create an ndarray from the specified slices.

BaseNDArray(List<INDArray>, int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create an ndarray from the specified slices.

BaseNDArray(List<INDArray>, int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create an ndarray from the specified slices.

BaseNDArray(List<INDArray>, int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create an ndarray from the specified slices.

BaseNDArray(List<INDArray>, long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(List<INDArray>, long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(List<INDArray>, long[], long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(List<INDArray>, long[], long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Constructor for stride and offset

BaseNDArray(DataBuffer, long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, long[], long[], char, DataType) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, long[], long[], char, DataType, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, long[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, long[], long[], long, char, DataType) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, long[], long[], long, long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, long[], long[], long, long, char, DataType) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, DataType, long[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataType, long[], long[], long[], char, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataType, long[], long[], long, char, boolean) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataType, long[], long[], long, char, boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArrayFactory - Class in org.nd4j.linalg.factory

BaseNDArrayFactory() - Constructor for class org.nd4j.linalg.factory.BaseNDArrayFactory

BaseNDArrayFactory(DataType, char) - Constructor for class org.nd4j.linalg.factory.BaseNDArrayFactory

BaseNDArrayFactory(DataType, Character) - Constructor for class org.nd4j.linalg.factory.BaseNDArrayFactory

Initialize with the given data opType and ordering The ndarray factory will use this for

BaseNDArrayList<X extends Number> - Class in org.nd4j.list

BaseNDArrayProxy - Class in org.nd4j.linalg.api.ndarray

BaseNDArrayProxy(INDArray) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

BaseOp - Class in org.nd4j.linalg.api.ops

BaseOp() - Constructor for class org.nd4j.linalg.api.ops.BaseOp

BaseOp(SameDiff, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseOp

BaseOp(SameDiff, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseOp

BaseOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseOp

An op for one ndarray

BaseOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseOp

Specify an alternative result array

BaseOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseOp

BaseOpContext - Class in org.nd4j.linalg.api.ops

BaseOpContext() - Constructor for class org.nd4j.linalg.api.ops.BaseOpContext

BaseOptimizerSet - Class in org.nd4j.autodiff.samediff.optimize.optimizations

BaseOptimizerSet() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.BaseOptimizerSet

BaseRandomOp - Class in org.nd4j.linalg.api.ops.random

BaseRandomOp(SameDiff, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.BaseRandomOp

BaseRandomOp(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.random.BaseRandomOp

BaseRandomOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.BaseRandomOp

BaseReduce3Op - Class in org.nd4j.linalg.api.ops.impl.reduce3

BaseReduce3Op() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(SameDiff, SDVariable, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduce3Op(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

BaseReduceBoolOp - Class in org.nd4j.linalg.api.ops

BaseReduceBoolOp() - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceBoolOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceBoolOp

BaseReduceFloatOp - Class in org.nd4j.linalg.api.ops

BaseReduceFloatOp() - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceFloatOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceFloatOp

BaseReduceLongOp - Class in org.nd4j.linalg.api.ops

BaseReduceLongOp() - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceLongOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceLongOp

BaseReduceOp - Class in org.nd4j.linalg.api.ops

BaseReduceOp() - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceOp

BaseReduceSameOp - Class in org.nd4j.linalg.api.ops

BaseReduceSameOp() - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReduceSameOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseReduceSameOp

BaseReductionBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

BaseReductionBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

BaseReductionBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

BaseReductionBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

BaseReductionBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

BaseReductionBp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

BaseReductionBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

BaseReductionBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

BaseScalarBoolOp - Class in org.nd4j.linalg.api.ops

BaseScalarBoolOp() - Constructor for class org.nd4j.linalg.api.ops.BaseScalarBoolOp

BaseScalarBoolOp(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarBoolOp

BaseScalarBoolOp(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarBoolOp

BaseScalarBoolOp(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarBoolOp

BaseScalarBoolOp(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarBoolOp

BaseScalarBoolOp(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarBoolOp

BaseScalarBoolOp(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarBoolOp

BaseScalarBoolOp(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarBoolOp

BaseScalarOp - Class in org.nd4j.linalg.api.ops

BaseScalarOp() - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

baseSchedule - Variable in class org.nd4j.linalg.schedule.RampSchedule

BaseShapeInfoProvider - Class in org.nd4j.linalg.api.ndarray

BaseShapeInfoProvider() - Constructor for class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

BaseTensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BaseTensorMapper

BaseTensorOp - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

BaseTensorOp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

BaseTensorOp(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

BaseTensorOp(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

BaseTransformAnyOp - Class in org.nd4j.linalg.api.ops

BaseTransformAnyOp() - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformAnyOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformAnyOp

BaseTransformBoolOp - Class in org.nd4j.linalg.api.ops

BaseTransformBoolOp() - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformBoolOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformBoolOp

BaseTransformFloatOp - Class in org.nd4j.linalg.api.ops

BaseTransformFloatOp() - Constructor for class org.nd4j.linalg.api.ops.BaseTransformFloatOp

BaseTransformFloatOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformFloatOp

BaseTransformFloatOp(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformFloatOp

BaseTransformFloatOp(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformFloatOp

BaseTransformFloatOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformFloatOp

BaseTransformFloatOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformFloatOp

BaseTransformOp - Class in org.nd4j.linalg.api.ops

BaseTransformOp() - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformSameOp - Class in org.nd4j.linalg.api.ops

BaseTransformSameOp() - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformSameOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformSameOp

BaseTransformStrictOp - Class in org.nd4j.linalg.api.ops

BaseTransformStrictOp() - Constructor for class org.nd4j.linalg.api.ops.BaseTransformStrictOp

BaseTransformStrictOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformStrictOp

BaseTransformStrictOp(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformStrictOp

BaseTransformStrictOp(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformStrictOp

BaseTransformStrictOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformStrictOp

BaseTransformStrictOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformStrictOp

BaseTransformStrictOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformStrictOp

BaseTransformStrictOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformStrictOp

BaseUnderSamplingPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor.classimbalance

BaseUnderSamplingPreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor

BaseWeightInitScheme - Class in org.nd4j.weightinit

BaseWeightInitScheme() - Constructor for class org.nd4j.weightinit.BaseWeightInitScheme

Initialize with c weight ordering by default

BaseWeightInitScheme(char) - Constructor for class org.nd4j.weightinit.BaseWeightInitScheme

BaseWorkspaceMgr<T extends Enum<T>> - Class in org.nd4j.linalg.workspace

BaseWorkspaceMgr() - Constructor for class org.nd4j.linalg.workspace.BaseWorkspaceMgr

BaseWorkspaceMgr(Set<T>, Map<T, WorkspaceConfiguration>, Map<T, String>) - Constructor for class org.nd4j.linalg.workspace.BaseWorkspaceMgr

BasicAffinityManager - Class in org.nd4j.linalg.api.concurrency

BasicAffinityManager() - Constructor for class org.nd4j.linalg.api.concurrency.BasicAffinityManager

BasicConstantHandler - Class in org.nd4j.linalg.cache

BasicConstantHandler() - Constructor for class org.nd4j.linalg.cache.BasicConstantHandler

BasicDistributedINDArray - Class in org.nd4j.linalg.api.concurrency

BasicDistributedINDArray(ArrayType) - Constructor for class org.nd4j.linalg.api.concurrency.BasicDistributedINDArray

BasicMemoryManager - Class in org.nd4j.linalg.api.memory

BasicMemoryManager() - Constructor for class org.nd4j.linalg.api.memory.BasicMemoryManager

BasicNDArrayCompressor - Class in org.nd4j.linalg.compression

BasicStash<T> - Class in org.nd4j.linalg.api.memory.stash

BasicStash() - Constructor for class org.nd4j.linalg.api.memory.stash.BasicStash

BasicStashManager - Class in org.nd4j.linalg.api.memory.stash

BasicStashManager() - Constructor for class org.nd4j.linalg.api.memory.stash.BasicStashManager

BasicWorkspaceManager - Class in org.nd4j.linalg.api.memory.provider

BasicWorkspaceManager() - Constructor for class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

BasicWorkspaceManager(WorkspaceConfiguration) - Constructor for class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

batch - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

batch() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

batch() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Batch size

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

The number of examples in every fold is (N / k), except when (N % k) > 0, when the first (N % k) folds contain (N / k) + 1 examples

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

Batch size

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

batch() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Batch size

batch() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

batch() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

batch() - Method in class org.nd4j.linalg.dataset.ViewIterator

Batch<T extends Aggregate> - Class in org.nd4j.linalg.api.ops.aggregates

Batch(List<T>) - Constructor for class org.nd4j.linalg.api.ops.aggregates.Batch

This constructor takes List of Aggregates, and builds Batch instance, usable with Nd4j executioner.

batchBy(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

batchBy(int) - Method in class org.nd4j.linalg.dataset.DataSet

Partitions a dataset in to mini batches where each dataset in each list is of the specified number of examples

batchByNumLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet

batchByNumLabels() - Method in class org.nd4j.linalg.dataset.DataSet

batchMmul(String[], SDVariable[], SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix multiply a batch of matrices.

batchMmul(String[], SDVariable[], SDVariable[], boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix multiply a batch of matrices.

batchMmul(SDVariable[], SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix multiply a batch of matrices.

batchMmul(SDVariable[], SDVariable[], boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix multiply a batch of matrices.

batchMmul(INDArray[], INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Matrix multiply a batch of matrices.

batchMmul(INDArray[], INDArray[], boolean, boolean) - Method in class org.nd4j.linalg.factory.ops.NDBase

Matrix multiply a batch of matrices.

BatchMmul - Class in org.nd4j.linalg.api.ops.impl.reduce.custom

BatchMmul() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

BatchMmul(SameDiff, SDVariable[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

BatchMmul(SameDiff, SDVariable[], SDVariable[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

BatchMmul(INDArray[], INDArray[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

batchNorm(String, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, double, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Neural network batch normalization operation.
For details, see https://arxiv.org/abs/1502.03167

batchNorm(SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, double, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Neural network batch normalization operation.
For details, see https://arxiv.org/abs/1502.03167

batchNorm(INDArray, INDArray, INDArray, INDArray, INDArray, double, int...) - Method in class org.nd4j.linalg.factory.ops.NDNN

Neural network batch normalization operation.
For details, see https://arxiv.org/abs/1502.03167

BatchNorm - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

BatchNorm(SameDiff, SDVariable[], INDArray[], INDArray[], boolean, boolean, boolean, double, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

BatchNorm(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, double, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

BatchNorm(INDArray, INDArray, INDArray, INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

BatchNormDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

BatchNormDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative

BatchNormDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], boolean, boolean, boolean, double, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative

batchOutput() - Method in class org.nd4j.autodiff.samediff.SameDiff

Set up for a single batch inference operation using OutputConfig.

BatchOutputConfig - Class in org.nd4j.autodiff.samediff.config

BatchOutputConfig(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.config.BatchOutputConfig

batchOutputHelper(Map<String, INDArray>, List<Listener>, Operation, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

batchOutputHelper(Map<String, INDArray>, Map<String, SDValue>, List<Listener>, Operation, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

batchSize - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

batchToSpace(String, SDVariable, int[], int[], int...) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 2d layer batch to space operation on 4d input.
Reduces input batch dimension by rearranging data into a larger spatial dimensions

batchToSpace(SDVariable, int[], int[], int...) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 2d layer batch to space operation on 4d input.
Reduces input batch dimension by rearranging data into a larger spatial dimensions

batchToSpace(INDArray, int[], int[], int...) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Convolution 2d layer batch to space operation on 4d input.
Reduces input batch dimension by rearranging data into a larger spatial dimensions

BatchToSpace - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

BatchToSpace() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

BatchToSpace(SameDiff, SDVariable[], int[], int[][], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

BatchToSpace(SameDiff, SDVariable, int[], int[][], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

BatchToSpace(SameDiff, SDVariable, int[], int[], int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

BatchToSpace(INDArray, int[], int[], int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

BatchToSpaceND - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

BatchToSpaceND() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpaceND

BatchToSpaceND(SameDiff, SDVariable[], int[], int[][], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpaceND

BE - Static variable in class org.nd4j.graph.ByteOrder

BEFORE_EXEC - org.nd4j.autodiff.validation.TestCase.TestSerialization

BEFORE_UPDATER - org.nd4j.linalg.learning.regularization.Regularization.ApplyStep

beforeOptimizationCheck(SameDiff, SameDiffOp, Optimizer) - Method in interface org.nd4j.autodiff.samediff.optimize.debug.OptimizationDebugger

begin - Variable in class org.nd4j.linalg.indexing.IntervalIndex

BEGIN_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto.Segment

BEGIN_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto.Segment

BEGIN_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

bernoulli(double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Bernoulli distribution,
with the specified probability.

bernoulli(double, DataType, long...) - Method in class org.nd4j.linalg.factory.ops.NDRandom

Generate a new random INDArray, where values are randomly sampled according to a Bernoulli distribution,
with the specified probability.

bernoulli(String, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Bernoulli distribution,
with the specified probability.

BernoulliDistribution - Class in org.nd4j.linalg.api.ops.random.impl

BernoulliDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

BernoulliDistribution(double, DataType, long...) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

BernoulliDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

This op fills Z with bernoulli trial results, so 0, or 1, depending by common probability

BernoulliDistribution(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

This op fills Z with bernoulli trial results, so 0, or 1, each element will have it's own success probability defined in prob array

BernoulliDistribution(SameDiff, double, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

BernoulliDistribution(SameDiff, double, DataType, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

bestGuessLossVariables() - Method in class org.nd4j.autodiff.samediff.SameDiff

Try to infer the loss variable/s (usually loss variables).

beta - Variable in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

BetaInc - Class in org.nd4j.linalg.api.ops.custom

BetaInc() - Constructor for class org.nd4j.linalg.api.ops.custom.BetaInc

BetaInc(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.BetaInc

BetaInc(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.BetaInc

BetaInc(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.BetaInc

BFLOAT16 - onnx.Onnx.TensorProto.DataType

Non-IEEE floating-point format based on IEEE754 single-precision floating-point number truncated to 16 bits.

BFLOAT16 - onnx.OnnxMl.TensorProto.DataType

Non-IEEE floating-point format based on IEEE754 single-precision floating-point number truncated to 16 bits.

BFLOAT16 - org.nd4j.ir.TensorNamespace.DataType

Non-IEEE floating-point format based on IEEE754 single-precision floating-point number truncated to 16 bits.

BFLOAT16 - org.nd4j.linalg.api.buffer.DataType

BFLOAT16 - Static variable in class org.nd4j.graph.DType

BFLOAT16_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

Non-IEEE floating-point format based on IEEE754 single-precision floating-point number truncated to 16 bits.

BFLOAT16_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

Non-IEEE floating-point format based on IEEE754 single-precision floating-point number truncated to 16 bits.

BFLOAT16_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

Non-IEEE floating-point format based on IEEE754 single-precision floating-point number truncated to 16 bits.

BFloat16TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BFloat16TensorMapper

bias - Variable in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

biasAdd(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Bias addition operation: a special case of addition, typically used with CNN 4D activations and a 1D bias vector

biasAdd(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Bias addition operation: a special case of addition, typically used with CNN 4D activations and a 1D bias vector

biasAdd(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDNN

Bias addition operation: a special case of addition, typically used with CNN 4D activations and a 1D bias vector

BiasAdd - Class in org.nd4j.linalg.api.ops.impl.broadcast

Bias addition gradient operation.

BiasAdd(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

BiasAdd(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

BiasAdd(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

BiasAddGrad - Class in org.nd4j.linalg.api.ops.impl.broadcast

BiasAddGrad(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

BiasAddGrad(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

BiasAddGrad(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

BiasAddGrad(SameDiff, SDVariable, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

biasCorrected - Variable in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

BIDIR_CONCAT - org.nd4j.enums.LSTMDirectionMode

BIDIR_CONCAT - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDirectionMode

BIDIR_EXTRA_DIM - org.nd4j.enums.LSTMDirectionMode

BIDIR_EXTRA_DIM - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDirectionMode

BIDIR_SUM - org.nd4j.enums.LSTMDirectionMode

BIDIR_SUM - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDirectionMode

BIG - org.tensorflow.util.BundleHeaderProto.Endianness

BIG = 1;

BIG_VALUE - Static variable in enum org.tensorflow.util.BundleHeaderProto.Endianness

BIG = 1;

Bilinear - org.nd4j.linalg.dataset.api.preprocessor.CropAndResizeDataSetPreProcessor.ResizeMethod

BILINEAR - org.nd4j.linalg.api.ops.impl.image.CropAndResize.Method

bilinearProducts(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Returns a column vector where each entry is the nth bilinear product of the nth slices of the two tensors.

bilinearProducts(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Returns a column vector where each entry is the nth bilinear product of the nth slices of the two tensors.

binarize() - Method in interface org.nd4j.linalg.dataset.api.DataSet

binarize() - Method in class org.nd4j.linalg.dataset.DataSet

Same as calling binarize(0)

binarize(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet

binarize(double) - Method in class org.nd4j.linalg.dataset.DataSet

Binarizes the dataset such that any number greater than cutoff is 1 otherwise zero

BINARY - org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper.ValueSource

binaryDecisionThreshold - Variable in class org.nd4j.evaluation.classification.Evaluation

BinaryMinimalRelativeError - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise

BinaryMinimalRelativeError() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

BinaryMinimalRelativeError(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

BinaryMinimalRelativeError(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

BinaryMinimalRelativeError(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

BinaryMinimalRelativeError(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

BinaryMinimalRelativeError(INDArray, INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

binaryPositiveClass - Variable in class org.nd4j.evaluation.classification.Evaluation

BinaryRelativeError - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise

BinaryRelativeError() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

BinaryRelativeError(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

BinaryRelativeError(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

BinaryRelativeError(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

BinaryRelativeError(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

BinaryRelativeError(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

BinaryRelativeError(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

BinarySerde - Class in org.nd4j.serde.binary

BinarySerde() - Constructor for class org.nd4j.serde.binary.BinarySerde

bInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatProperties

BinCount - Class in org.nd4j.linalg.api.ops.impl.transforms

BinCount() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinCount

BinCount(SameDiff, SDVariable, SDVariable, Integer, Integer, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinCount

bindInferenceFactory(InferenceFactory) - Static method in class org.nd4j.autodiff.samediff.SameDiff

Bind the inferenceFactory.

binlabels(int) - Method in class org.nd4j.graph.UIHistogram

binlabelsLength() - Method in class org.nd4j.graph.UIHistogram

binlabelsVector() - Method in class org.nd4j.graph.UIHistogram

binlabelsVector(StringVector) - Method in class org.nd4j.graph.UIHistogram

binomial(int, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Binomial distribution,
with the specified number of trials and probability.

binomial(int, double, DataType, long...) - Method in class org.nd4j.linalg.factory.ops.NDRandom

Generate a new random INDArray, where values are randomly sampled according to a Binomial distribution,
with the specified number of trials and probability.

binomial(String, int, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Binomial distribution,
with the specified number of trials and probability.

BinomialDistribution - Class in org.nd4j.linalg.api.ops.random.impl

BinomialDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl

BinomialDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

BinomialDistribution(int, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Create a binomial distribution with the given number of trials and probability of success.

BinomialDistribution(int, double, DataType, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

BinomialDistribution(int, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

BinomialDistribution(INDArray, int, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

This op fills Z with binomial distribution over given trials with single given probability for all trials

BinomialDistribution(INDArray, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray

BinomialDistribution(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray

BinomialDistribution(SameDiff, int, double, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

BinomialDistribution(SameDiff, int, double, DataType, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

BinomialDistribution(Random, int, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Creates a binomial distribution.

BinomialDistributionEx - Class in org.nd4j.linalg.api.ops.random.impl

BinomialDistributionEx() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

BinomialDistributionEx(INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

This op fills Z with binomial distribution over given trials with single given probability for all trials

BinomialDistributionEx(INDArray, long, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray

BinomialDistributionEx(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray

binranges() - Method in class org.nd4j.graph.UIHistogram

binranges(FlatArray) - Method in class org.nd4j.graph.UIHistogram

BitCast - Class in org.nd4j.linalg.api.ops.custom

BitCast() - Constructor for class org.nd4j.linalg.api.ops.custom.BitCast

BitCast(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.BitCast

BitCast(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.custom.BitCast

BitCast(INDArray, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.BitCast

BitCast(INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.custom.BitCast

BitCast(INDArray, DataType, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.BitCast

BITMAP_ENCODING - Static variable in class org.nd4j.linalg.compression.ThresholdCompression

bitmapDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

bitmapDecode(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

bitmapEncode(INDArray, double) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

bitmapEncode(INDArray, double) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

bitmapEncode(INDArray, INDArray, double) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

bitmapEncode(INDArray, INDArray, double) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns number of elements affected by encoder

bitmask() - Method in class org.nd4j.graph.UISummaryStatistics

bitRotl(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Roll integer bits to the left, i.e.

bitRotl(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Roll integer bits to the left, i.e.

bitRotl(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Roll integer bits to the left, i.e.

bitRotr(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Roll integer bits to the right, i.e.

bitRotr(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Roll integer bits to the right, i.e.

bitRotr(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Roll integer bits to the right, i.e.

bitsHammingDistance(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise Hamming distance reduction over all elements of both input arrays.
For example, if x=01100000 and y=1010000 then the bitwise Hamming distance is 2 (due to differences at positions 0 and 1)
Inputs must satisfy the following constraints:
Must be same types: isSameType(x, y)

bitsHammingDistance(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise Hamming distance reduction over all elements of both input arrays.
For example, if x=01100000 and y=1010000 then the bitwise Hamming distance is 2 (due to differences at positions 0 and 1)
Inputs must satisfy the following constraints:
Must be same types: isSameType(x, y)

bitsHammingDistance(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Bitwise Hamming distance reduction over all elements of both input arrays.
For example, if x=01100000 and y=1010000 then the bitwise Hamming distance is 2 (due to differences at positions 0 and 1)
Inputs must satisfy the following constraints:
Must be same types: isSameType(x, y)

BitsHammingDistance - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

BitsHammingDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitsHammingDistance

BitsHammingDistance(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitsHammingDistance

BitsHammingDistance(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitsHammingDistance

bitShift(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Shift integer bits to the left, i.e.

bitShift(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Bit shift operation

bitShift(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Shift integer bits to the left, i.e.

bitShift(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Bit shift operation

bitShift(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Shift integer bits to the left, i.e.

bitShift(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Bit shift operation

bitShiftRight(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Shift integer bits to the right, i.e.

bitShiftRight(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Right bit shift operation

bitShiftRight(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Shift integer bits to the right, i.e.

bitShiftRight(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Right bit shift operation

bitShiftRight(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Shift integer bits to the right, i.e.

bitShiftRight(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Right bit shift operation

bitShiftRotl(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cyclic bit shift operation

bitShiftRotl(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cyclic bit shift operation

bitShiftRotl(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Cyclic bit shift operation

bitShiftRotr(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cyclic right shift operation

bitShiftRotr(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cyclic right shift operation

bitShiftRotr(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Cyclic right shift operation

bitwise - Variable in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for bitwise operations

bitwise - Static variable in class org.nd4j.linalg.factory.Nd4j

Bitwise namespace - operations related to bitwise manipulation of arrays

bitwise() - Method in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for bitwise operations

bitwise() - Static method in class org.nd4j.linalg.factory.Nd4j

Bitwise namespace - operations related to bitwise manipulation of arrays

BitwiseAnd - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

BitwiseAnd() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseAnd

BitwiseAnd(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseAnd

BitwiseAnd(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseAnd

BitwiseAnd(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseAnd

BitwiseOr - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

BitwiseOr() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseOr

BitwiseOr(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseOr

BitwiseOr(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseOr

BitwiseOr(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseOr

BitwiseXor - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

BitwiseXor() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseXor

BitwiseXor(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseXor

BitwiseXor(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseXor

BitwiseXor(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseXor

blas - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory

blas() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

blas() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Return extra blas operations

Blas - Interface in org.nd4j.linalg.api.blas

BLAS_THREADS_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

BLAS_VENDOR_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

Blas.Vendor - Enum in org.nd4j.linalg.api.blas

BlasBufferUtil - Class in org.nd4j.linalg.api.blas

Blas buffer util for interopping with the underlying buffers and the given ndarrays

BlasBufferUtil() - Constructor for class org.nd4j.linalg.api.blas.BlasBufferUtil

BlasException - Error in org.nd4j.linalg.api.blas

BlasException(String) - Constructor for error org.nd4j.linalg.api.blas.BlasException

BlasException(String, int) - Constructor for error org.nd4j.linalg.api.blas.BlasException

Principal constructor - error message & error code

blasMajorVersion() - Method in interface org.nd4j.linalg.factory.Environment

BLAS major version number (if applicable)

blasMinorVersion() - Method in interface org.nd4j.linalg.factory.Environment

BLAS minor version number (if applicable)

blasPatchVersion() - Method in interface org.nd4j.linalg.factory.Environment

BLAS patch version number (if applicable)

BlasWrapper - Interface in org.nd4j.linalg.factory

bLength() - Method in class org.nd4j.graph.FlatProperties

BLOCK_LEFT - org.nd4j.linalg.api.memory.enums.ResetPolicy

This policy means - once end of MemoryWorkspace block reached its end - it'll be reset to the beginning.

BlockDataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator

BlockMultiDataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator

blocks - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

blocks - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

BOOL - onnx.Onnx.TensorProto.DataType

bool

BOOL - onnx.OnnxMl.TensorProto.DataType

bool

BOOL - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

BOOL = 4;

BOOL - org.nd4j.ir.TensorNamespace.DataType

bool

BOOL - org.nd4j.linalg.api.buffer.DataType

BOOL - Static variable in class org.nd4j.graph.DType

BOOL_VAL_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

BOOL_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

BOOL_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

bool

BOOL_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

bool

BOOL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

BOOL = 4;

BOOL_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

bool

BOOLEAN - Static variable in class org.nd4j.graph.OpType

BOOLEAN_OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

BOOLEAN_OP_IMPL = 1;

BOOLEAN_OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

BOOLEAN_OP_IMPL = 1;

BooleanAdapter - Class in org.nd4j.imports.descriptors.properties.adapters

BooleanAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.BooleanAdapter

BooleanIndexing - Class in org.nd4j.linalg.indexing

Boolean indexing

BooleanIndexing() - Constructor for class org.nd4j.linalg.indexing.BooleanIndexing

BooleanNot - Class in org.nd4j.linalg.api.ops.impl.transforms.bool

BooleanNot() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot

BooleanNot(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot

BooleanNot(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot

BooleanNot(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot

BoolTensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BoolTensorMapper

BOOLVALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

borrowingWorkspace - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

BOTH - org.nd4j.autodiff.validation.TestCase.TestSerialization

boundary - Variable in class org.nd4j.linalg.api.ops.compression.EncodeThreshold

BRANCH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CondContextDef

branches - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree

broadcast(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

broadcast(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Broadcasts this ndarray to be the specified shape

broadcast(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

broadcast(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Broadcasts this ndarray to be the specified shape

broadcast(INDArray) - Method in class org.nd4j.linalg.util.DeviceLocalNDArray

This method duplicates array, and stores it to all devices PLEASE NOTE: this method is NOT atomic, so you must be sure no other threads are using this instance during the update

Broadcast - Class in org.nd4j.linalg.factory

BROADCAST - org.nd4j.linalg.api.ops.Op.Type

BROADCAST - Static variable in class org.nd4j.graph.OpType

BROADCAST_BOOL - org.nd4j.linalg.api.ops.Op.Type

BROADCAST_BOOL - Static variable in class org.nd4j.graph.OpType

BROADCASTABLE_BOOL_OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

BROADCASTABLE_BOOL_OP_IMPL = 10;

BROADCASTABLE_BOOL_OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

BROADCASTABLE_BOOL_OP_IMPL = 10;

BROADCASTABLE_OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

BROADCASTABLE_OP_IMPL = 9;

BROADCASTABLE_OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

BROADCASTABLE_OP_IMPL = 9;

BroadcastAddOp - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastAddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

BroadcastAddOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

BroadcastAddOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

BroadcastAddOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

BroadcastAddOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

BroadcastAMax - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastAMax() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

BroadcastAMax(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

BroadcastAMax(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

BroadcastAMax(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

BroadcastAMax(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

BroadcastAMax(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

BroadcastAMax(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

BroadcastAMax(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

BroadcastAMax(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

BroadcastAMin - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastAMin() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

BroadcastAMin(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

BroadcastAMin(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

BroadcastAMin(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

BroadcastAMin(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

BroadcastAMin(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

BroadcastAMin(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

BroadcastAMin(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

BroadcastAMin(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

BroadcastCopyOp - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastCopyOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastCopyOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastCopyOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastCopyOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastCopyOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastCopyOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastCopyOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastCopyOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastCopyOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastDivOp - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

BroadcastDivOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

BroadcastDivOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

BroadcastDivOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

BroadcastDivOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

BroadcastDivOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

BroadcastDivOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

BroadcastDivOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

BroadcastDivOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

BroadcastDynamicShape - Class in org.nd4j.linalg.api.ops.impl.shape

BroadcastDynamicShape() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape

BroadcastDynamicShape(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape

BroadcastEqualTo - Class in org.nd4j.linalg.api.ops.impl.broadcast.bool

BroadcastEqualTo() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

BroadcastEqualTo(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

BroadcastEqualTo(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

BroadcastEqualTo(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

BroadcastEqualTo(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

BroadcastEqualTo(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

BroadcastGradientArgs - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastGradientArgs() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs

BroadcastGradientArgs(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs

BroadcastGradientArgs(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs

BroadcastGradientArgs(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs

BroadcastGradientArgs(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs

BroadcastGreaterThan - Class in org.nd4j.linalg.api.ops.impl.broadcast.bool

BroadcastGreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

BroadcastGreaterThan(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

BroadcastGreaterThan(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

BroadcastGreaterThan(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

BroadcastGreaterThan(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

BroadcastGreaterThan(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

BroadcastGreaterThan(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

BroadcastGreaterThan(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

BroadcastGreaterThan(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

BroadcastGreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.broadcast.bool

BroadcastGreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

BroadcastGreaterThanOrEqual(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

BroadcastGreaterThanOrEqual(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

BroadcastGreaterThanOrEqual(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

BroadcastGreaterThanOrEqual(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

BroadcastGreaterThanOrEqual(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

BroadcastGreaterThanOrEqual(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

BroadcastGreaterThanOrEqual(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

BroadcastGreaterThanOrEqual(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

BroadcastLessThan - Class in org.nd4j.linalg.api.ops.impl.broadcast.bool

BroadcastLessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

BroadcastLessThan(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

BroadcastLessThan(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

BroadcastLessThan(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

BroadcastLessThan(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

BroadcastLessThan(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

BroadcastLessThan(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

BroadcastLessThan(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

BroadcastLessThan(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

BroadcastLessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.broadcast.bool

BroadcastLessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

BroadcastLessThanOrEqual(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

BroadcastLessThanOrEqual(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

BroadcastLessThanOrEqual(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

BroadcastLessThanOrEqual(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

BroadcastLessThanOrEqual(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

BroadcastLessThanOrEqual(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

BroadcastLessThanOrEqual(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

BroadcastLessThanOrEqual(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

BroadcastMax - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastMax() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

BroadcastMax(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

BroadcastMax(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

BroadcastMax(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

BroadcastMax(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

BroadcastMax(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

BroadcastMax(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

BroadcastMax(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

BroadcastMax(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

BroadcastMin - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastMin() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

BroadcastMin(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

BroadcastMin(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

BroadcastMin(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

BroadcastMin(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

BroadcastMin(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

BroadcastMin(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

BroadcastMin(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

BroadcastMin(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

BroadcastMulOp - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastMulOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

BroadcastMulOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

BroadcastMulOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

BroadcastMulOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

BroadcastMulOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

BroadcastMulOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

BroadcastMulOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

BroadcastMulOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

BroadcastMulOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

BroadcastNotEqual - Class in org.nd4j.linalg.api.ops.impl.broadcast.bool

BroadcastNotEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

BroadcastNotEqual(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

BroadcastNotEqual(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

BroadcastNotEqual(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

BroadcastNotEqual(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

BroadcastNotEqual(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

BroadcastNotEqual(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

BroadcastNotEqual(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

BroadcastNotEqual(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

BroadcastOp - Interface in org.nd4j.linalg.api.ops

broadcastOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

broadcastOutputShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the broadcast output shape based on the 2 input shapes Result output shape based on: https://docs.scipy.org/doc/numpy-1.10.1/user/basics.broadcasting.html

broadcastOutputShape(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

BroadcastRDivOp - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastRDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

BroadcastRDivOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

BroadcastRDivOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

BroadcastRDivOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

BroadcastRDivOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

BroadcastRDivOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

BroadcastRDivOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

BroadcastRDivOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

BroadcastRDivOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

broadcastResultShape(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

BroadcastRSubOp - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastRSubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

BroadcastRSubOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

BroadcastRSubOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

BroadcastRSubOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

BroadcastRSubOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

BroadcastRSubOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

BroadcastRSubOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

BroadcastRSubOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

BroadcastRSubOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

BroadcastSubOp - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastSubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

BroadcastSubOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

BroadcastSubOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

BroadcastSubOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

BroadcastSubOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

BroadcastSubOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

BroadcastSubOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

BroadcastSubOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

BroadcastSubOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

BroadcastTo - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastTo(INDArray, @lombok.NonNull long[], INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo

BroadcastTo(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo

BroadcastTo(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo

broadcastToShape(int[], long) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

Generate a random shape to broadcast to given a randomly generated shape with 1s in it as inputs

broadcastToShape(long[], long) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

BUCKET_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto

BUCKET_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto

BUF_PTR_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest

BUF_PTR_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufResponse

BUF_RENDEZVOUS_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest

buffer - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

buffer - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

buffer(int) - Method in class org.nd4j.graph.FlatArray

bufferAsByteBuffer() - Method in class org.nd4j.graph.FlatArray

bufferInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatArray

bufferLength() - Method in class org.nd4j.graph.FlatArray

bufferToString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Prints the IntBuffer

bufferVector() - Method in class org.nd4j.graph.FlatArray

bufferVector(ByteVector) - Method in class org.nd4j.graph.FlatArray

build() - Method in class onnx.Onnx.AttributeProto.Builder

build() - Method in class onnx.Onnx.FunctionProto.Builder

build() - Method in class onnx.Onnx.GraphProto.Builder

build() - Method in class onnx.Onnx.ModelProto.Builder

build() - Method in class onnx.Onnx.NodeProto.Builder

build() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

build() - Method in class onnx.Onnx.SparseTensorProto.Builder

build() - Method in class onnx.Onnx.StringStringEntryProto.Builder

build() - Method in class onnx.Onnx.TensorAnnotation.Builder

build() - Method in class onnx.Onnx.TensorProto.Builder

build() - Method in class onnx.Onnx.TensorProto.Segment.Builder

build() - Method in class onnx.Onnx.TensorShapeProto.Builder

build() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

build() - Method in class onnx.Onnx.TrainingInfoProto.Builder

build() - Method in class onnx.Onnx.TypeProto.Builder

build() - Method in class onnx.Onnx.TypeProto.Map.Builder

build() - Method in class onnx.Onnx.TypeProto.Optional.Builder

build() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

build() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

build() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

build() - Method in class onnx.Onnx.ValueInfoProto.Builder

build() - Method in class onnx.OnnxMl.AttributeProto.Builder

build() - Method in class onnx.OnnxMl.FunctionProto.Builder

build() - Method in class onnx.OnnxMl.GraphProto.Builder

build() - Method in class onnx.OnnxMl.ModelProto.Builder

build() - Method in class onnx.OnnxMl.NodeProto.Builder

build() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

build() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

build() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

build() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

build() - Method in class onnx.OnnxMl.TensorProto.Builder

build() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

build() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

build() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

build() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

build() - Method in class onnx.OnnxMl.TypeProto.Builder

build() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

build() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

build() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

build() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

build() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

build() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

build() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

build() - Method in class onnx.OnnxOperators.OperatorProto.Builder

build() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

build() - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

build() - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

build() - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations.Builder

build() - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

build() - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener.Builder

Create the profiling listener

build() - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

build() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

build() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

build() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

build() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

build() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

build() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

build() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

build() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

build() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

build() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

build() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

build() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

build() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

build() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

build() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

build() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

build() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder

Create a DistributionStats object from the data ingested so far.

build() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder

Create a DistributionStats object from the data ingested so far.

build() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder

DynamicCustomOpsBuilder pattern

build() - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder

build() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder

Creates a new instance of the mixture density cost function.

build() - Method in class org.nd4j.linalg.schedule.MapSchedule.Builder

build() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

build() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

build() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

build() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

build() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

build() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

build() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

build() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

build() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

build() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

build() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

build() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

build() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

build() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

build() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

build() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

build() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

build() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

build() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

build() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

build() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

build() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

build() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

build() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

build() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

build() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

build() - Method in class org.tensorflow.distruntime.JobDef.Builder

build() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

build() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

build() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

build() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

build() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

build() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

build() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

build() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

build() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

build() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

build() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

build() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

build() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

build() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

build() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

build() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

build() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

build() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

build() - Method in class org.tensorflow.distruntime.ResetResponse.Builder

build() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

build() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

build() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

build() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

build() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

build() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

build() - Method in class org.tensorflow.distruntime.ServerDef.Builder

build() - Method in class org.tensorflow.distruntime.StepSequence.Builder

build() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

build() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

build() - Method in class org.tensorflow.distruntime.TracingResponse.Builder

build() - Method in class org.tensorflow.framework.AllocationDescription.Builder

build() - Method in class org.tensorflow.framework.AllocationRecord.Builder

build() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

build() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

build() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

build() - Method in class org.tensorflow.framework.ApiDef.Builder

build() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

build() - Method in class org.tensorflow.framework.ApiDefs.Builder

build() - Method in class org.tensorflow.framework.AssetFileDef.Builder

build() - Method in class org.tensorflow.framework.AttrValue.Builder

build() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

build() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

build() - Method in class org.tensorflow.framework.CallableOptions.Builder

build() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

build() - Method in class org.tensorflow.framework.CollectionDef.Builder

build() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

build() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

build() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

build() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

build() - Method in class org.tensorflow.framework.CondContextDef.Builder

build() - Method in class org.tensorflow.framework.ConfigProto.Builder

build() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

build() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

build() - Method in class org.tensorflow.framework.CostGraphDef.Builder

build() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

build() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

build() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

build() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

build() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

build() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

build() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

build() - Method in class org.tensorflow.framework.DebugOptions.Builder

build() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

build() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

build() - Method in class org.tensorflow.framework.DeviceLocality.Builder

build() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

build() - Method in class org.tensorflow.framework.FunctionDef.Builder

build() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

build() - Method in class org.tensorflow.framework.GPUOptions.Builder

build() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

build() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

build() - Method in class org.tensorflow.framework.GradientDef.Builder

build() - Method in class org.tensorflow.framework.GraphDef.Builder

build() - Method in class org.tensorflow.framework.GraphOptions.Builder

build() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

build() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

build() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

build() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

build() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

build() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

build() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

build() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

build() - Method in class org.tensorflow.framework.HistogramProto.Builder

build() - Method in class org.tensorflow.framework.InterconnectLink.Builder

build() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

build() - Method in class org.tensorflow.framework.KernelDef.Builder

build() - Method in class org.tensorflow.framework.LocalLinks.Builder

build() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

build() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

build() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

build() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

build() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

build() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

build() - Method in class org.tensorflow.framework.MemoryStats.Builder

build() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

build() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

build() - Method in class org.tensorflow.framework.NameAttrList.Builder

build() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

build() - Method in class org.tensorflow.framework.NodeDef.Builder

build() - Method in class org.tensorflow.framework.NodeExecStats.Builder

build() - Method in class org.tensorflow.framework.NodeOutput.Builder

build() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

build() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

build() - Method in class org.tensorflow.framework.OpDef.Builder

build() - Method in class org.tensorflow.framework.OpDeprecation.Builder

build() - Method in class org.tensorflow.framework.OpList.Builder

build() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

build() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

build() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

build() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

build() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

build() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

build() - Method in class org.tensorflow.framework.RewriterConfig.Builder

build() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

build() - Method in class org.tensorflow.framework.RPCOptions.Builder

build() - Method in class org.tensorflow.framework.RunMetadata.Builder

build() - Method in class org.tensorflow.framework.RunOptions.Builder

build() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

build() - Method in class org.tensorflow.framework.SavedModel.Builder

build() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

build() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

build() - Method in class org.tensorflow.framework.SignatureDef.Builder

build() - Method in class org.tensorflow.framework.StepStats.Builder

build() - Method in class org.tensorflow.framework.Summary.Audio.Builder

build() - Method in class org.tensorflow.framework.Summary.Builder

build() - Method in class org.tensorflow.framework.Summary.Image.Builder

build() - Method in class org.tensorflow.framework.Summary.Value.Builder

build() - Method in class org.tensorflow.framework.SummaryDescription.Builder

build() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

build() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

build() - Method in class org.tensorflow.framework.TensorConnection.Builder

build() - Method in class org.tensorflow.framework.TensorDescription.Builder

build() - Method in class org.tensorflow.framework.TensorInfo.Builder

build() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

build() - Method in class org.tensorflow.framework.TensorProto.Builder

build() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

build() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

build() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

build() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

build() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

build() - Method in class org.tensorflow.framework.ValuesDef.Builder

build() - Method in class org.tensorflow.framework.VariableDef.Builder

build() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

build() - Method in class org.tensorflow.framework.VersionDef.Builder

build() - Method in class org.tensorflow.framework.WhileContextDef.Builder

build() - Method in class org.tensorflow.util.BundleEntryProto.Builder

build() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

build() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

build() - Method in class org.tensorflow.util.SaverDef.Builder

build() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

build() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

build() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

build() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

build() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

build() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

build() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

build() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

build() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

BUILD_COST_MODEL_AFTER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphOptions

BUILD_COST_MODEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphOptions

buildCId() - Static method in class org.nd4j.linalg.heartbeat.utils.EnvironmentUtils

buildContext() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

buildContext() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns OpContext which can be used (and reused) to execute custom ops

buildEnvironment() - Static method in class org.nd4j.linalg.heartbeat.utils.EnvironmentUtils

This method build

builder() - Static method in class org.nd4j.autodiff.listeners.ListenerEvaluations

builder() - Static method in class org.nd4j.autodiff.listeners.ListenerVariables

builder() - Static method in class org.nd4j.autodiff.samediff.TrainingConfig

builder() - Static method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

builder(File) - Static method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

builder(File) - Static method in class org.nd4j.autodiff.listeners.impl.UIListener

builder(File) - Static method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener

Create a new builder

builder(String) - Static method in class org.nd4j.linalg.api.ops.DynamicCustomOp

This method takes custom opname, and return Op DynamicCustomOpsBuilder instance

Builder() - Constructor for class org.nd4j.autodiff.listeners.ListenerEvaluations.Builder

Builder() - Constructor for class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Builder() - Constructor for class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Builder() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder

Builder() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaBelief.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaDelta.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaGrad.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.Adam.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaMax.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.AMSGrad.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.Nadam.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.Nesterovs.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.RmsProp.Builder

Builder() - Constructor for class org.nd4j.linalg.learning.config.Sgd.Builder

Builder(File) - Constructor for class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Builder(File) - Constructor for class org.nd4j.autodiff.listeners.impl.UIListener.Builder

Builder(File) - Constructor for class org.nd4j.autodiff.listeners.profiler.ProfilingListener.Builder

Builder(String) - Constructor for class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Builder(ScheduleType) - Constructor for class org.nd4j.linalg.schedule.MapSchedule.Builder

buildInfo() - Method in class org.nd4j.linalg.factory.Nd4jBackend

Get the build information of the backend

buildPartial() - Method in class onnx.Onnx.AttributeProto.Builder

buildPartial() - Method in class onnx.Onnx.FunctionProto.Builder

buildPartial() - Method in class onnx.Onnx.GraphProto.Builder

buildPartial() - Method in class onnx.Onnx.ModelProto.Builder

buildPartial() - Method in class onnx.Onnx.NodeProto.Builder

buildPartial() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

buildPartial() - Method in class onnx.Onnx.SparseTensorProto.Builder

buildPartial() - Method in class onnx.Onnx.StringStringEntryProto.Builder

buildPartial() - Method in class onnx.Onnx.TensorAnnotation.Builder

buildPartial() - Method in class onnx.Onnx.TensorProto.Builder

buildPartial() - Method in class onnx.Onnx.TensorProto.Segment.Builder

buildPartial() - Method in class onnx.Onnx.TensorShapeProto.Builder

buildPartial() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

buildPartial() - Method in class onnx.Onnx.TrainingInfoProto.Builder

buildPartial() - Method in class onnx.Onnx.TypeProto.Builder

buildPartial() - Method in class onnx.Onnx.TypeProto.Map.Builder

buildPartial() - Method in class onnx.Onnx.TypeProto.Optional.Builder

buildPartial() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

buildPartial() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

buildPartial() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

buildPartial() - Method in class onnx.Onnx.ValueInfoProto.Builder

buildPartial() - Method in class onnx.OnnxMl.AttributeProto.Builder

buildPartial() - Method in class onnx.OnnxMl.FunctionProto.Builder

buildPartial() - Method in class onnx.OnnxMl.GraphProto.Builder

buildPartial() - Method in class onnx.OnnxMl.ModelProto.Builder

buildPartial() - Method in class onnx.OnnxMl.NodeProto.Builder

buildPartial() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

buildPartial() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

buildPartial() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

buildPartial() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

buildPartial() - Method in class onnx.OnnxMl.TensorProto.Builder

buildPartial() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

buildPartial() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

buildPartial() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

buildPartial() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

buildPartial() - Method in class onnx.OnnxMl.TypeProto.Builder

buildPartial() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

buildPartial() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

buildPartial() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

buildPartial() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

buildPartial() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

buildPartial() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

buildPartial() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

buildPartial() - Method in class onnx.OnnxOperators.OperatorProto.Builder

buildPartial() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

buildPartial() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

buildPartial() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

buildPartial() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

buildPartial() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

buildPartial() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

buildPartial() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

buildPartial() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

buildPartial() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

buildPartial() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

buildPartial() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

buildPartial() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

buildPartial() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

buildPartial() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

buildPartial() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

buildPartial() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.JobDef.Builder

buildPartial() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ResetResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

buildPartial() - Method in class org.tensorflow.distruntime.ServerDef.Builder

buildPartial() - Method in class org.tensorflow.distruntime.StepSequence.Builder

buildPartial() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

buildPartial() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

buildPartial() - Method in class org.tensorflow.distruntime.TracingResponse.Builder

buildPartial() - Method in class org.tensorflow.framework.AllocationDescription.Builder

buildPartial() - Method in class org.tensorflow.framework.AllocationRecord.Builder

buildPartial() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

buildPartial() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

buildPartial() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

buildPartial() - Method in class org.tensorflow.framework.ApiDef.Builder

buildPartial() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

buildPartial() - Method in class org.tensorflow.framework.ApiDefs.Builder

buildPartial() - Method in class org.tensorflow.framework.AssetFileDef.Builder

buildPartial() - Method in class org.tensorflow.framework.AttrValue.Builder

buildPartial() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

buildPartial() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

buildPartial() - Method in class org.tensorflow.framework.CallableOptions.Builder

buildPartial() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

buildPartial() - Method in class org.tensorflow.framework.CollectionDef.Builder

buildPartial() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

buildPartial() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

buildPartial() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

buildPartial() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

buildPartial() - Method in class org.tensorflow.framework.CondContextDef.Builder

buildPartial() - Method in class org.tensorflow.framework.ConfigProto.Builder

buildPartial() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

buildPartial() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

buildPartial() - Method in class org.tensorflow.framework.CostGraphDef.Builder

buildPartial() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

buildPartial() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

buildPartial() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

buildPartial() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

buildPartial() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

buildPartial() - Method in class org.tensorflow.framework.DebugOptions.Builder

buildPartial() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

buildPartial() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

buildPartial() - Method in class org.tensorflow.framework.DeviceLocality.Builder

buildPartial() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

buildPartial() - Method in class org.tensorflow.framework.FunctionDef.Builder

buildPartial() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

buildPartial() - Method in class org.tensorflow.framework.GPUOptions.Builder

buildPartial() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

buildPartial() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

buildPartial() - Method in class org.tensorflow.framework.GradientDef.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphDef.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphOptions.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.HistogramProto.Builder

buildPartial() - Method in class org.tensorflow.framework.InterconnectLink.Builder

buildPartial() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

buildPartial() - Method in class org.tensorflow.framework.KernelDef.Builder

buildPartial() - Method in class org.tensorflow.framework.LocalLinks.Builder

buildPartial() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

buildPartial() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

buildPartial() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

buildPartial() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

buildPartial() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

buildPartial() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

buildPartial() - Method in class org.tensorflow.framework.MemoryStats.Builder

buildPartial() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

buildPartial() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

buildPartial() - Method in class org.tensorflow.framework.NameAttrList.Builder

buildPartial() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

buildPartial() - Method in class org.tensorflow.framework.NodeDef.Builder

buildPartial() - Method in class org.tensorflow.framework.NodeExecStats.Builder

buildPartial() - Method in class org.tensorflow.framework.NodeOutput.Builder

buildPartial() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

buildPartial() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

buildPartial() - Method in class org.tensorflow.framework.OpDef.Builder

buildPartial() - Method in class org.tensorflow.framework.OpDeprecation.Builder

buildPartial() - Method in class org.tensorflow.framework.OpList.Builder

buildPartial() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

buildPartial() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

buildPartial() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

buildPartial() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

buildPartial() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

buildPartial() - Method in class org.tensorflow.framework.RewriterConfig.Builder

buildPartial() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

buildPartial() - Method in class org.tensorflow.framework.RPCOptions.Builder

buildPartial() - Method in class org.tensorflow.framework.RunMetadata.Builder

buildPartial() - Method in class org.tensorflow.framework.RunOptions.Builder

buildPartial() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

buildPartial() - Method in class org.tensorflow.framework.SavedModel.Builder

buildPartial() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

buildPartial() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

buildPartial() - Method in class org.tensorflow.framework.SignatureDef.Builder

buildPartial() - Method in class org.tensorflow.framework.StepStats.Builder

buildPartial() - Method in class org.tensorflow.framework.Summary.Audio.Builder

buildPartial() - Method in class org.tensorflow.framework.Summary.Builder

buildPartial() - Method in class org.tensorflow.framework.Summary.Image.Builder

buildPartial() - Method in class org.tensorflow.framework.Summary.Value.Builder

buildPartial() - Method in class org.tensorflow.framework.SummaryDescription.Builder

buildPartial() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

buildPartial() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

buildPartial() - Method in class org.tensorflow.framework.TensorConnection.Builder

buildPartial() - Method in class org.tensorflow.framework.TensorDescription.Builder

buildPartial() - Method in class org.tensorflow.framework.TensorInfo.Builder

buildPartial() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

buildPartial() - Method in class org.tensorflow.framework.TensorProto.Builder

buildPartial() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

buildPartial() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

buildPartial() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

buildPartial() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

buildPartial() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

buildPartial() - Method in class org.tensorflow.framework.ValuesDef.Builder

buildPartial() - Method in class org.tensorflow.framework.VariableDef.Builder

buildPartial() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

buildPartial() - Method in class org.tensorflow.framework.VersionDef.Builder

buildPartial() - Method in class org.tensorflow.framework.WhileContextDef.Builder

buildPartial() - Method in class org.tensorflow.util.BundleEntryProto.Builder

buildPartial() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

buildPartial() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

buildPartial() - Method in class org.tensorflow.util.SaverDef.Builder

buildPartial() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

buildPartial() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

buildPartial() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

buildPartial() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

buildPartial() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

buildPartial() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

buildPartial() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

buildPartial() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

buildPartial() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

buildTask(INDArray) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils

buildTask(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils

buildTask(INDArray, INDArray) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils

buildTask(DataSet) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils

buildTask(DataSetIterator) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils

buildTask(DataSet) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils

BundleEntryProto - Class in org.tensorflow.util

Describes the metadata related to a checkpointed tensor.

BundleEntryProto.Builder - Class in org.tensorflow.util

Describes the metadata related to a checkpointed tensor.

BundleEntryProtoOrBuilder - Interface in org.tensorflow.util

BundleHeaderProto - Class in org.tensorflow.util

Special header that is associated with a bundle.

BundleHeaderProto.Builder - Class in org.tensorflow.util

Special header that is associated with a bundle.

BundleHeaderProto.Endianness - Enum in org.tensorflow.util

An enum indicating the endianness of the platform that produced this bundle.

BundleHeaderProtoOrBuilder - Interface in org.tensorflow.util

BUS_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceLocality

bVector() - Method in class org.nd4j.graph.FlatProperties

bVector(BooleanVector) - Method in class org.nd4j.graph.FlatProperties

BWD - org.nd4j.enums.LSTMDirectionMode

BWD - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDirectionMode

byNumber(int) - Static method in enum org.nd4j.linalg.api.ops.executioner.OpStatus

BYPASS_EVERYTHING - org.nd4j.linalg.api.memory.enums.DebugMode

All workspaces will be disabled.

BYTE - org.nd4j.linalg.api.buffer.DataType

Deprecated.

Replaced by DataType.INT8, use that instead

byteBufferSizeFor(INDArray) - Static method in class org.nd4j.serde.binary.BinarySerde

Returns the byte buffer size for the given ndarray.

byteOrder() - Method in class org.nd4j.graph.FlatArray

ByteOrder - Class in org.nd4j.graph

bytes - Variable in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebuggedSourceFile

BYTES_LIST - org.tensorflow.framework.CollectionDef.KindCase

BYTES_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef

bytesOnDevice(Integer) - Method in class org.nd4j.linalg.api.memory.AllocationsTracker

bytesOnDevice(AllocationKind, Integer) - Method in class org.nd4j.linalg.api.memory.AllocationsTracker

C

c - org.nd4j.autodiff.listeners.profiler.data.Phase

C - org.nd4j.autodiff.listeners.profiler.data.Phase

C - Static variable in interface org.nd4j.linalg.factory.NDArrayFactory

C_ORDER - Static variable in class org.nd4j.linalg.api.ops.impl.shape.Reshape

CachingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator

CachingDataSetIterator(DataSetIterator, DataSetCache) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

CachingDataSetIterator(DataSetIterator, DataSetCache, String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

CachingDataSetIterator(DataSetIterator, DataSetCache, String, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

calcRegularizationScore() - Method in class org.nd4j.autodiff.samediff.SameDiff

Calculate the regularization (L1, L2 and/or WeightDecay) component of the loss function for the current parameters..

calculateArea() - Method in class org.nd4j.evaluation.curves.BaseCurve

calculateArea(double[], double[]) - Method in class org.nd4j.evaluation.curves.BaseCurve

calculateAUC() - Method in class org.nd4j.evaluation.classification.ROC

Calculate the AUROC - Area Under ROC Curve
Utilizes trapezoidal integration internally

calculateAUC() - Method in class org.nd4j.evaluation.curves.RocCurve

Calculate and return the area under ROC curve

calculateAUC(int) - Method in class org.nd4j.evaluation.classification.ROCBinary

Calculate the AUC - Area Under (ROC) Curve
Utilizes trapezoidal integration internally

calculateAUC(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Calculate the AUC - Area Under ROC Curve
Utilizes trapezoidal integration internally

calculateAUCPR() - Method in class org.nd4j.evaluation.classification.ROC

Calculate the area under the precision/recall curve - aka AUCPR

calculateAUCPR(int) - Method in class org.nd4j.evaluation.classification.ROCBinary

Calculate the AUCPR - Area Under Curve - Precision Recall
Utilizes trapezoidal integration internally

calculateAUCPR(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Calculate the AUPRC - Area Under Curve Precision Recall
Utilizes trapezoidal integration internally

calculateAUPRC() - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

calculateAverageAuc() - Method in class org.nd4j.evaluation.classification.ROCBinary

Macro-average AUC for all outcomes

calculateAverageAUC() - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Calculate the macro-average (one-vs-all) AUC for all classes

calculateAverageAUCPR() - Method in class org.nd4j.evaluation.classification.ROCBinary

calculateAverageAUCPR() - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Calculate the macro-average (one-vs-all) AUCPR (area under precision recall curve) for all classes

calculateGradients(Map<String, INDArray>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.calculateGradients(Map, Collection)

calculateGradients(Map<String, INDArray>, Collection<String>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Calculate and return the gradients for the specified variables

calculateGradientsAndOutputs(Map<String, INDArray>, Collection<String>, Collection<String>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Calculate the activations and the gradients for the specified variables, in one execution call.

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Calculate the data types for the output arrays.

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.compat.CompatSparseToDense

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.compression.DecodeBitmap

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.compression.DecodeThreshold

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.compression.EncodeBitmap

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.compression.EncodeThreshold

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.AdjustContrast

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.AdjustHue

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.AdjustSaturation

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.BetaInc

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.BitCast

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.CompareAndBitpack

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Digamma

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.DivideNoNan

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.DrawBoundingBoxes

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Flatten

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.FusedBatchNorm

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.HsvToRgb

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Igamma

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Igammac

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Invoke

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Lgamma

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.LinearSolve

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Logdet

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Lstsq

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Lu

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.MatrixBandPart

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Polygamma

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.RandomCrop

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.RgbToHsv

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.RgbToYiq

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.RgbToYuv

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Roll

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.ToggleBits

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Tri

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.TriangularSolve

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.Triu

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.TriuBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.YiqToRgb

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.custom.YuvToRgb

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.StopGradient

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Select

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Where

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.CropAndResize

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.ImageResize

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeNearestNeighbor

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3DDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3dBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRU

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlock

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyLossBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyWithLogitsLossBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SparseSoftmaxCrossEntropyLossWithLogitsBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.L2Loss

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.PowBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

Calculate the data types for the output arrays.

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.MmulBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Moments

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.NormalizeMoments

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.SufficientStatistics

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.ZeroFraction

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.PRelu

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinearDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.MergeAvgBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.MergeMaxBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Create

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Cross

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.GatherNd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMaxIndex

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MeshGrid

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesAs

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ReductionShape

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SetShape

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ShapeN

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Size

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SizeAt

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.EmbeddingLookup

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRemove

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySplit

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Angle

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assert

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinCount

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.CheckNumerics

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cholesky

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByAvgNorm

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNormBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpaceND

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitsHammingDistance

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseAnd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseOr

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseXor

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CReLU

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CReluBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicRShiftBits

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicShiftBits

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttention

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttentionBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InTopK

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNonDecreasing

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNumericTensor

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsStrictlyIncreasing

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ListDiff

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalAnd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalNot

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalOr

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalXor

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogMatrixDeterminant

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDeterminant

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiag

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiagPart

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixInverse

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixSetDiag

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MaximumBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttentionBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Pow

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Qr

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.RShiftBits

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ShiftBits

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ThresholdRelu

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Trace

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.XwPlusB

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Zeta

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.MinMaxDataType

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.EluBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.PReluBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SeluBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftPlusBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.ThresholdReluBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.HistogramFixedWidth

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.NthElement

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pad

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.BaseArithmeticBackpropOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.MergeAddBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMaxBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMeanBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMinBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentProdBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentSumBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMaxBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMeanBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMinBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentProdBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSqrtNBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSumBp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSqrtN

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.NoOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.BaseRandomOp

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomExponential

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomGamma

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomNormal

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomPoisson

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomShuffle

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.RandomMultinomial

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.Range

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

calculateOutputDataTypes(List<DataType>) - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

calculateOutputShape() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Calculate the output shape for this op

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

Calculate the output shape for this op

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp

Calculate the output shape for this op

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.custom.Invoke

calculateOutputShape() - Method in interface org.nd4j.linalg.api.ops.CustomOp

Calculate the output shape for this op

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomBoolReduction

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.NoOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.BaseRandomOp

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.Choice

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

calculateOutputShape(CustomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

calculateOutputShape(CustomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

calculateOutputShape(CustomOp, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

calculateOutputShape(CustomOp, OpContext) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

calculateOutputShape(OpContext) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.compat.CompatSparseToDense

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.custom.Invoke

calculateOutputShape(OpContext) - Method in interface org.nd4j.linalg.api.ops.CustomOp

Calculate the output shape for this op

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.NoOp

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.Choice

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

calculateOutputShape(OpContext) - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

call(DataSet) - Method in interface org.nd4j.linalg.dataset.callbacks.DataSetCallback

call(DataSet) - Method in class org.nd4j.linalg.dataset.callbacks.DefaultCallback

call(MultiDataSet) - Method in interface org.nd4j.linalg.dataset.callbacks.DataSetCallback

call(MultiDataSet) - Method in class org.nd4j.linalg.dataset.callbacks.DefaultCallback

CallableOptions - Class in org.tensorflow.framework

Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.

CallableOptions.Builder - Class in org.tensorflow.framework

Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.

CallableOptionsOrBuilder - Interface in org.tensorflow.framework

callback - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

callback - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

callInplace(boolean) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

Whether an op call is in place or not.

CANCEL_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.QueueRunnerDef

CANCELLED - org.tensorflow.framework.Code

The operation was cancelled (typically by the caller).

CANCELLED_VALUE - Static variable in enum org.tensorflow.framework.Code

The operation was cancelled (typically by the caller).

canRun() - Method in class org.nd4j.linalg.factory.Nd4jBackend

Returns true if the backend can run on the os or not

capacity() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

capacity() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Cast - Class in org.nd4j.linalg.api.ops.impl.transforms.dtype

Cast() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

Cast(INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

Cast(SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

castTo(DataType) - Method in class org.nd4j.autodiff.samediff.SDVariable

castTo(String, DataType) - Method in class org.nd4j.autodiff.samediff.SDVariable

castTo(String, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cast the array to a new datatype - for example, Integer -> Float

castTo(SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cast the array to a new datatype - for example, Integer -> Float

castTo(DataType) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

castTo(DataType) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method cast elements of this INDArray to new data type

castTo(INDArray, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

Cast the array to a new datatype - for example, Integer -> Float

castTo(T, DataType, INDArray, boolean) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

castTo(T, DataType, INDArray, boolean) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Cast the specified array to the specified datatype.
If the array is already the correct type, the bahaviour depends on the 'dupIfCorrectType' argument.
dupIfCorrectType = false && toCast.dataType() == dataType: return input array as-is (unless workspace is wrong)
dupIfCorrectType = true && toCast.dataType() == dataType: duplicate the array into the specified workspace

CAUSAL - org.nd4j.linalg.api.ops.impl.layers.convolution.config.PaddingMode

CAUSAL - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

CbowRound - Class in org.nd4j.linalg.api.ops.impl.nlp

CbowRound() - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.CbowRound

CbowRound(int, @lombok.NonNull int[], @lombok.NonNull int[], int, INDArray, INDArray, INDArray, INDArray, int, double, long, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.CbowRound

ns round

CbowRound(int, @lombok.NonNull int[], @lombok.NonNull int[], INDArray, INDArray, INDArray, @lombok.NonNull int[], @lombok.NonNull byte[], double, long, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.CbowRound

hs round

CbowRound(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, int, INDArray, INDArray, INDArray, INDArray, boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.CbowRound

full constructor

ceil(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise ceiling function: out = ceil(x).
Rounds each value up to the nearest integer value (if not already an integer)

ceil(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise ceiling function: out = ceil(x).
Rounds each value up to the nearest integer value (if not already an integer)

ceil(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise ceiling function: out = ceil(x).
Rounds each value up to the nearest integer value (if not already an integer)

ceil(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

ceil(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Ceil - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Ceil() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

Ceil(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

Ceil(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

Ceil(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

Ceil(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

CEIL - org.nd4j.enums.NearestMode

ceiling(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Binary matrix of whether the number at a given index is greater than

ceiling(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Ceiling function

CellAct - Enum in org.nd4j.enums

Activations

checkActivationGradients(GradCheckUtil.ActGradConfig) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil

Gradient check the ACTIVATIONS (i.e., ARRAY type SDVariables) as opposed to the parameters of a network (as are tested in GradCheckUtil.checkGradients(SameDiff, Map, double, double, double, boolean, boolean, boolean, boolean, Set, Map, int, Subset)

checkAdd(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

Same as checkMmul, but for matrix addition

checkAllModelsForImport(File) - Static method in class org.nd4j.imports.tensorflow.TensorFlowImportValidator

Recursively scan the specified directory for .pb files, and evaluate which operations/graphs can/can't be imported

checkAllModelsForImport(File, boolean) - Static method in class org.nd4j.imports.tensorflow.TensorFlowImportValidator

checkAllModelsForImport(File, String[]) - Static method in class org.nd4j.imports.tensorflow.TensorFlowImportValidator

checkAndApply(SameDiff, OptimizationHelper, SameDiffOp, ArrayHolder, ArrayHolder) - Method in class org.nd4j.autodiff.samediff.optimize.optimizations.ConstantFunctionOptimizations.FoldConstantFunctions

checkAndApply(SameDiff, OptimizationHelper, SameDiffOp, ArrayHolder, ArrayHolder) - Method in class org.nd4j.autodiff.samediff.optimize.optimizations.CuDNNFunctionOptimizations.CudnnConv2dNCHWtoNHWCConversion

checkAndApply(SameDiff, OptimizationHelper, SameDiffOp, ArrayHolder, ArrayHolder) - Method in class org.nd4j.autodiff.samediff.optimize.optimizations.IdentityFunctionOptimizations.RemoveIdentityOps

checkAndApply(SameDiff, OptimizationHelper, SameDiffOp, ArrayHolder, ArrayHolder) - Method in class org.nd4j.autodiff.samediff.optimize.optimizations.IdentityFunctionOptimizations.RemoveIdentityPermute

checkAndApply(SameDiff, OptimizationHelper, SameDiffOp, ArrayHolder, ArrayHolder) - Method in class org.nd4j.autodiff.samediff.optimize.optimizations.ShapeFunctionOptimizations.FuseChainedConcatOps

checkAndApply(SameDiff, OptimizationHelper, SameDiffOp, ArrayHolder, ArrayHolder) - Method in class org.nd4j.autodiff.samediff.optimize.optimizations.ShapeFunctionOptimizations.FuseChainedPermutes

checkAndApply(SameDiff, OptimizationHelper, SameDiffOp, ArrayHolder, ArrayHolder) - Method in class org.nd4j.autodiff.samediff.optimize.optimizations.ShapeFunctionOptimizations.FuseChainedReshapes

checkAndApply(SameDiff, OptimizationHelper, SameDiffOp, ArrayHolder, ArrayHolder) - Method in class org.nd4j.autodiff.samediff.optimize.optimizations.UnusedFunctionOptimizations.RemoveUnusedConstants

checkAndApply(SameDiff, OptimizationHelper, SameDiffOp, ArrayHolder, ArrayHolder) - Method in interface org.nd4j.autodiff.samediff.optimize.Optimizer

checkAndUpdateIfAllSatisfied(T) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

checkArrangeArray(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

checkDeserializedEquality(SameDiff, ByteBuffer, TestCase) - Static method in class org.nd4j.autodiff.validation.OpValidation

checkDivManually(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

checkEntries(RealMatrix, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

checkEntries(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

checkForAny(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

checkForCompression(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

checkForInf(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

checkForInf(CustomOp, OpContext) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

checkForInf(Op, OpContext) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

checkForNaN(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

checkForNaN(CustomOp, OpContext) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

checkForNaN(Op, OpContext) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

checkForWorkspaces(CustomOp, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

checkForWorkspaces(Op, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

checkGemm(INDArray, INDArray, INDArray, boolean, boolean, double, double, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

checkGradients(SameDiff, Map<String, INDArray>, boolean, boolean) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil

checkGradients(SameDiff, Map<String, INDArray>, double, double, double, boolean, boolean) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil

checkGradients(SameDiff, Map<String, INDArray>, double, double, double, boolean, boolean, boolean, boolean, Set<String>, Map<String, INDArray>) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil

checkGradients(SameDiff, Map<String, INDArray>, double, double, double, boolean, boolean, boolean, boolean, Set<String>, Map<String, INDArray>, int, GradCheckUtil.Subset) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil

checkGradients(SameDiff, Map<String, INDArray>, String...) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil

checkGradients(TestCase) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil

checkIfExists(T) - Method in class org.nd4j.linalg.api.memory.stash.BasicStash

checkIfExists(T) - Method in interface org.nd4j.linalg.api.memory.stash.Stash

checkIfStashExists(T) - Method in class org.nd4j.linalg.api.memory.stash.BasicStashManager

checkIfStashExists(T) - Method in interface org.nd4j.linalg.api.memory.stash.StashManager

checkIfWorkspaceExists(String) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method checks, if Workspace with a given Id was created before this call

checkIfWorkspaceExists(String) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method checks, if Workspace with a given Id was created before this call

checkIfWorkspaceExistsAndActive(String) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

checkIfWorkspaceExistsAndActive(String) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method checks, if Workspace with a given Id was created before this call, AND is active at the moment of call

checkInfo(String, int) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

checkInfo(String, int) - Method in interface org.nd4j.linalg.factory.BlasWrapper

checkMmul(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

Check first.mmul(second) using Apache commons math mmul.

checkModelForImport(File) - Static method in class org.nd4j.imports.tensorflow.TensorFlowImportValidator

See TensorFlowImportValidator.checkModelForImport(File).

checkModelForImport(File, boolean) - Static method in class org.nd4j.imports.tensorflow.TensorFlowImportValidator

Check whether the TensorFlow frozen model (protobuf format) can be imported into SameDiff or not

checkModelForImport(String, InputStream, boolean) - Static method in class org.nd4j.imports.tensorflow.TensorFlowImportValidator

checkMulManually(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

CheckNumerics - Class in org.nd4j.linalg.api.ops.impl.transforms

CheckNumerics() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CheckNumerics

CheckNumerics(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CheckNumerics

Checkpoint - Class in org.nd4j.autodiff.listeners.checkpoint

Checkpoint() - Constructor for class org.nd4j.autodiff.listeners.checkpoint.Checkpoint

CHECKPOINT_KEY_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

CheckpointableObjectGraphOuterClass - Class in tensorflow

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder - Interface in tensorflow

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder - Interface in tensorflow

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder - Class in tensorflow

Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder - Interface in tensorflow

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder - Interface in tensorflow

CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder - Interface in tensorflow

CheckpointListener - Class in org.nd4j.autodiff.listeners.checkpoint

CheckpointListener.Builder - Class in org.nd4j.autodiff.listeners.checkpoint

checkShapeValues(long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Throws exception on negative shape values.

checkStructureForRestore(SameDiff) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

checkSubtract(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

Same as checkMmul, but for matrix subtraction

CheckUtil - Class in org.nd4j.linalg.checkutil

CheckUtil() - Constructor for class org.nd4j.linalg.checkutil.CheckUtil

checkVersions() - Static method in class org.nd4j.versioncheck.VersionCheck

Perform a check of the versions of ND4J, DL4J, DataVec, RL4J and Arbiter dependencies, logging a warning if necessary.

checkWorkspace(String, INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

childNodes - Variable in class org.nd4j.autodiff.samediff.transform.SubGraph

CHILDREN_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

choice(INDArray, INDArray, INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

This method samples value from Source array to Target, with probabilites provided in Probs argument

choice(INDArray, INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns new INDArray instance, sampled from Source array with probabilities given in Probs using the default random number generator.

choice(INDArray, INDArray, int, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns new INDArray instance, sampled from Source array with probabilities given in Probs.

choice(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

This method samples value from Source array to Target,the default random number generator.

Choice - Class in org.nd4j.linalg.api.ops.random.impl

Choice() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice

Choice(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice

cholesky(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes the Cholesky decomposition of one or more square matrices.

cholesky(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes the Cholesky decomposition of one or more square matrices.

cholesky(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Computes the Cholesky decomposition of one or more square matrices.

Cholesky - Class in org.nd4j.linalg.api.ops.impl.transforms

Cholesky(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cholesky

Cholesky(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cholesky

Choose - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Choose() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

Choose(String, SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

Choose(String, INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

Choose(String, INDArray[], Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

Choose(SameDiff, SDVariable[], Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

Choose(INDArray[], List<Integer>, List<Double>, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

Note that iArgs (integer arguments) and tArgs(double/float arguments) may end up being used under the following conditions: scalar operations (if a scalar is specified the you do not need to specify an ndarray) otherwise, if an ndarray is needed as a second input then put it in the inputs Usually, you only need 1 input (the equivalent of the array you're trying to do indexing on)

Choose(INDArray[], Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

chooseFrom(INDArray[], List<Double>, List<Integer>, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

Choose from the inputs based on the given condition.

chooseFrom(INDArray[], Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

Choose from the inputs based on the given condition.

CIRCULAR - org.nd4j.linalg.api.memory.MemoryWorkspace.Type

Special workspace mode: circular buffer.

classCount(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the number of times the given label has actually occurred

classEquals(Class<?>) - Static method in class org.nd4j.autodiff.samediff.transform.OpPredicate

Return true if the operation class is equal to the specified class

classesDim - Variable in class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyWithLogitsLossBp

classesDim - Variable in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss

CleanupAllRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CleanupAllRequest

CleanupAllRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CleanupAllRequest

CleanupAllRequestOrBuilder - Interface in org.tensorflow.distruntime

CleanupAllResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CleanupAllResponse

CleanupAllResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CleanupAllResponse

CleanupAllResponseOrBuilder - Interface in org.tensorflow.distruntime

CleanupGraphRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CleanupGraphRequest

CleanupGraphRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CleanupGraphRequest

CleanupGraphRequestOrBuilder - Interface in org.tensorflow.distruntime

CleanupGraphResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CleanupGraphResponse

CleanupGraphResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CleanupGraphResponse

CleanupGraphResponseOrBuilder - Interface in org.tensorflow.distruntime

clear() - Method in class onnx.Onnx.AttributeProto.Builder

clear() - Method in class onnx.Onnx.FunctionProto.Builder

clear() - Method in class onnx.Onnx.GraphProto.Builder

clear() - Method in class onnx.Onnx.ModelProto.Builder

clear() - Method in class onnx.Onnx.NodeProto.Builder

clear() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

clear() - Method in class onnx.Onnx.SparseTensorProto.Builder

clear() - Method in class onnx.Onnx.StringStringEntryProto.Builder

clear() - Method in class onnx.Onnx.TensorAnnotation.Builder

clear() - Method in class onnx.Onnx.TensorProto.Builder

clear() - Method in class onnx.Onnx.TensorProto.Segment.Builder

clear() - Method in class onnx.Onnx.TensorShapeProto.Builder

clear() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

clear() - Method in class onnx.Onnx.TrainingInfoProto.Builder

clear() - Method in class onnx.Onnx.TypeProto.Builder

clear() - Method in class onnx.Onnx.TypeProto.Map.Builder

clear() - Method in class onnx.Onnx.TypeProto.Optional.Builder

clear() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

clear() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

clear() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

clear() - Method in class onnx.Onnx.ValueInfoProto.Builder

clear() - Method in class onnx.OnnxMl.AttributeProto.Builder

clear() - Method in class onnx.OnnxMl.FunctionProto.Builder

clear() - Method in class onnx.OnnxMl.GraphProto.Builder

clear() - Method in class onnx.OnnxMl.ModelProto.Builder

clear() - Method in class onnx.OnnxMl.NodeProto.Builder

clear() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

clear() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

clear() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

clear() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

clear() - Method in class onnx.OnnxMl.TensorProto.Builder

clear() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

clear() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

clear() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

clear() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

clear() - Method in class onnx.OnnxMl.TypeProto.Builder

clear() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

clear() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

clear() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

clear() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

clear() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

clear() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

clear() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

clear() - Method in class onnx.OnnxOperators.OperatorProto.Builder

clear() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

clear() - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

Clear all internal state for the dependency tracker

clear() - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

clear() - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

clear() - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

clear() - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

clear() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

clear() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

clear() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

clear() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

clear() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

clear() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

clear() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

clear() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

clear() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

clear() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

clear() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

clear() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

clear() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

clear() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

clear() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

clear() - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker

clear() - Method in class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder

clear() - Method in interface org.nd4j.linalg.compression.AbstractStorage

This method purges everything from storage

clear() - Method in class org.nd4j.linalg.util.DeviceLocal

This method removes object stored for current device

clear() - Method in class org.nd4j.list.BaseNDArrayList

clear() - Method in class org.nd4j.list.NDArrayList

clear() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

clear() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

clear() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

clear() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

clear() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

clear() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

clear() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

clear() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

clear() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

clear() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

clear() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

clear() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

clear() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

clear() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

clear() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

clear() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

clear() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

clear() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

clear() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

clear() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

clear() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

clear() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

clear() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

clear() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

clear() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

clear() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

clear() - Method in class org.tensorflow.distruntime.JobDef.Builder

clear() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

clear() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

clear() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

clear() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

clear() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

clear() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

clear() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

clear() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

clear() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

clear() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

clear() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

clear() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

clear() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

clear() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

clear() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

clear() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

clear() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

clear() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

clear() - Method in class org.tensorflow.distruntime.ResetResponse.Builder

clear() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

clear() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

clear() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

clear() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

clear() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

clear() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

clear() - Method in class org.tensorflow.distruntime.ServerDef.Builder

clear() - Method in class org.tensorflow.distruntime.StepSequence.Builder

clear() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

clear() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

clear() - Method in class org.tensorflow.distruntime.TracingResponse.Builder

clear() - Method in class org.tensorflow.framework.AllocationDescription.Builder

clear() - Method in class org.tensorflow.framework.AllocationRecord.Builder

clear() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

clear() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

clear() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

clear() - Method in class org.tensorflow.framework.ApiDef.Builder

clear() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

clear() - Method in class org.tensorflow.framework.ApiDefs.Builder

clear() - Method in class org.tensorflow.framework.AssetFileDef.Builder

clear() - Method in class org.tensorflow.framework.AttrValue.Builder

clear() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

clear() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

clear() - Method in class org.tensorflow.framework.CallableOptions.Builder

clear() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

clear() - Method in class org.tensorflow.framework.CollectionDef.Builder

clear() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

clear() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

clear() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

clear() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

clear() - Method in class org.tensorflow.framework.CondContextDef.Builder

clear() - Method in class org.tensorflow.framework.ConfigProto.Builder

clear() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

clear() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

clear() - Method in class org.tensorflow.framework.CostGraphDef.Builder

clear() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

clear() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

clear() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

clear() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

clear() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

clear() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

clear() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

clear() - Method in class org.tensorflow.framework.DebugOptions.Builder

clear() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

clear() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

clear() - Method in class org.tensorflow.framework.DeviceLocality.Builder

clear() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

clear() - Method in class org.tensorflow.framework.FunctionDef.Builder

clear() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

clear() - Method in class org.tensorflow.framework.GPUOptions.Builder

clear() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

clear() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

clear() - Method in class org.tensorflow.framework.GradientDef.Builder

clear() - Method in class org.tensorflow.framework.GraphDef.Builder

clear() - Method in class org.tensorflow.framework.GraphOptions.Builder

clear() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

clear() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

clear() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

clear() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

clear() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

clear() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

clear() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

clear() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

clear() - Method in class org.tensorflow.framework.HistogramProto.Builder

clear() - Method in class org.tensorflow.framework.InterconnectLink.Builder

clear() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

clear() - Method in class org.tensorflow.framework.KernelDef.Builder

clear() - Method in class org.tensorflow.framework.LocalLinks.Builder

clear() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

clear() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

clear() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

clear() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

clear() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

clear() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

clear() - Method in class org.tensorflow.framework.MemoryStats.Builder

clear() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

clear() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

clear() - Method in class org.tensorflow.framework.NameAttrList.Builder

clear() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

clear() - Method in class org.tensorflow.framework.NodeDef.Builder

clear() - Method in class org.tensorflow.framework.NodeExecStats.Builder

clear() - Method in class org.tensorflow.framework.NodeOutput.Builder

clear() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

clear() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

clear() - Method in class org.tensorflow.framework.OpDef.Builder

clear() - Method in class org.tensorflow.framework.OpDeprecation.Builder

clear() - Method in class org.tensorflow.framework.OpList.Builder

clear() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

clear() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

clear() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

clear() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

clear() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

clear() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

clear() - Method in class org.tensorflow.framework.RewriterConfig.Builder

clear() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

clear() - Method in class org.tensorflow.framework.RPCOptions.Builder

clear() - Method in class org.tensorflow.framework.RunMetadata.Builder

clear() - Method in class org.tensorflow.framework.RunOptions.Builder

clear() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

clear() - Method in class org.tensorflow.framework.SavedModel.Builder

clear() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

clear() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

clear() - Method in class org.tensorflow.framework.SignatureDef.Builder

clear() - Method in class org.tensorflow.framework.StepStats.Builder

clear() - Method in class org.tensorflow.framework.Summary.Audio.Builder

clear() - Method in class org.tensorflow.framework.Summary.Builder

clear() - Method in class org.tensorflow.framework.Summary.Image.Builder

clear() - Method in class org.tensorflow.framework.Summary.Value.Builder

clear() - Method in class org.tensorflow.framework.SummaryDescription.Builder

clear() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

clear() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

clear() - Method in class org.tensorflow.framework.TensorConnection.Builder

clear() - Method in class org.tensorflow.framework.TensorDescription.Builder

clear() - Method in class org.tensorflow.framework.TensorInfo.Builder

clear() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

clear() - Method in class org.tensorflow.framework.TensorProto.Builder

clear() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

clear() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

clear() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

clear() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

clear() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

clear() - Method in class org.tensorflow.framework.ValuesDef.Builder

clear() - Method in class org.tensorflow.framework.VariableDef.Builder

clear() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

clear() - Method in class org.tensorflow.framework.VersionDef.Builder

clear() - Method in class org.tensorflow.framework.WhileContextDef.Builder

clear() - Method in class org.tensorflow.util.BundleEntryProto.Builder

clear() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

clear() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

clear() - Method in class org.tensorflow.util.SaverDef.Builder

clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

clear() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

clear() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

clear() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

clear() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

clear() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

CLEAR_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LoggingRequest

clearAlgorithm() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field represents a training algorithm step.

clearAlgorithm() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

clearAliasInputPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

If >= 0, the output is an alias of an input.

clearAllEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 all_end_rel_micros = 5;

clearAllocatedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Total number of bytes allocated if known

clearAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription.Builder

Information about the size and allocator used for the data

clearAllocationId() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Identifier of the allocated buffer if known

clearAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Id of the tensor buffer being allocated, used to match to a corresponding deallocation.

clearAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

clearAllocationId() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

clearAllocationRecords() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

clearAllocatorBytesInUse() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

These are snapshots of the overall allocator memory stats.

clearAllocatorName() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Name of the allocator used

clearAllocatorName() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

string allocator_name = 1;

clearAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the allocator used.

clearAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the allocator used.

clearAllocatorName() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

Name of the allocator used.

clearAllocatorType() - Method in class org.tensorflow.framework.GPUOptions.Builder

The type of GPU allocation strategy to use.

clearAllocBytes() - Method in class org.tensorflow.framework.AllocationRecord.Builder

Number of bytes allocated, or de-allocated if negative.

clearAllocMicros() - Method in class org.tensorflow.framework.AllocationRecord.Builder

The timestamp of the operation.

clearAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

A list of values that this kernel supports for this attr.

clearAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

The set of allowed values.

clearAllowGrowth() - Method in class org.tensorflow.framework.GPUOptions.Builder

If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.

clearAllowSoftPlacement() - Method in class org.tensorflow.framework.ConfigProto.Builder

Whether soft placement is allowed.

clearAllowsUninitializedInput() - Method in class org.tensorflow.framework.OpDef.Builder

By default, all inputs to an Op must be initialized Tensors.

clearAllStartMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 all_start_micros = 2;

clearAnyInfo() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A serialized protobuf.

clearAnyList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.AnyList any_list = 5;

clearArgDescriptor() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

clearArgIndex() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

int32 argIndex = 11;

clearArgOptional() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool argOptional = 13;

clearArgOrder() - Method in class org.tensorflow.framework.ApiDef.Builder

List of original in_arg names to specify new argument order.

clearArgType() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.ArgDescriptor.ArgType argType = 10;

clearArithmeticOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Arithmetic optimizations (default is ON) e.g.

clearArrays() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Clear the input and output INDArrays, if any are set

clearArrays() - Method in class org.nd4j.linalg.api.ops.BaseOp

clearArrays() - Method in interface org.nd4j.linalg.api.ops.CustomOp

Clear the input and output INDArrays, if any are set

clearArrays() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

clearArrays() - Method in interface org.nd4j.linalg.api.ops.Op

Clear the input and output INDArrays, if any are set

clearAssetFileDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

clearAsync() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Whether the ops on the worker should be executed synchronously or asynchronously.

clearAttr() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

clearAttr() - Method in class org.tensorflow.framework.FunctionDef.Builder

clearAttr() - Method in class org.tensorflow.framework.NameAttrList.Builder

clearAttr() - Method in class org.tensorflow.framework.NodeDef.Builder

clearAttr() - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

clearAttribute() - Method in class onnx.Onnx.FunctionProto.Builder

The attributes of the function.

clearAttribute() - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

clearAttribute() - Method in class onnx.OnnxMl.FunctionProto.Builder

The attributes of the function.

clearAttribute() - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

clearAttributes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

clearAttrs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

clearAudio() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Audio audio = 6;

clearAutoParallel() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

clearB() - Method in class org.tensorflow.framework.AttrValue.Builder

"bool"

clearB() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(bool)"

clearBackProp() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Whether backprop is enabled for this while loop.

clearBadConsumers() - Method in class org.tensorflow.framework.VersionDef.Builder

Specific consumer versions which are disallowed (e.g.

clearBandwidth() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Memory bandwidth in KB/s

clearBegin() - Method in class onnx.Onnx.TensorProto.Segment.Builder

int64 begin = 1;

clearBegin() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

int64 begin = 1;

clearBegin() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

int64 begin = 1;

clearBoolVal() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

boolean values

clearBoolVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_BOOL

clearBoolValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool boolValue = 6;

clearBranch() - Method in class org.tensorflow.framework.CondContextDef.Builder

Branch prediction.

clearBucket() - Method in class org.tensorflow.framework.HistogramProto.Builder

repeated double bucket = 7 [packed = true];

clearBucketLimit() - Method in class org.tensorflow.framework.HistogramProto.Builder

Parallel arrays encoding the bucket boundaries and the bucket values.

clearBufPtr() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

When RDMA is in use, address of destination field on client.

clearBufPtr() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Address of source field on server.

clearBufRendezvousKey() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Arbitrary string identifying a BufRendezvous entry.

clearBuildCostModel() - Method in class org.tensorflow.framework.GraphOptions.Builder

The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.

clearBuildCostModelAfter() - Method in class org.tensorflow.framework.GraphOptions.Builder

The number of steps to skip before collecting statistics for the cost model.

clearBusId() - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional bus locality of device.

clearBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Byte size of the file.

clearBytesList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

clearCancelOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to cancel the queue.

clearCheckpointKey() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The generated name of the Tensor in the checkpoint.

clearChildren() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

clearClear() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

If true, discard any saved logging data (for all steps).

clearClientLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on client-side device locality.

clearClientLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on client-side device locality.

clearCloseOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to close the queue.

clearCluster() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The cluster of which this server is a member.

clearClusterDef() - Method in class org.tensorflow.framework.ConfigProto.Builder

Optional list of all workers to use in this session.

clearCollectionDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

clearCollectiveGraphKey() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.

clearCollectiveGraphKey() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).

clearCollectiveGroupLeader() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

Task name for group resolution.

clearColorspace() - Method in class org.tensorflow.framework.Summary.Image.Builder

Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA

clearComputeCost() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Estimate of the computational cost of this node, in microseconds.

clearComputeTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Analytical estimate of the computational cost of this node, in microseconds.

clearCondCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.CondContextDef cond_ctxt = 1;

clearConfig() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

Configuration options.

clearConstantFolding() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.

clearConstNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

clearConstraint() - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

clearContainer() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

A list of container names.

clearContainer() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

A list of container names, which may be empty.

clearContainer() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Container in which this resource is placed.

clearContent() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

The content to store for the plugin.

clearContentType() - Method in class org.tensorflow.framework.Summary.Audio.Builder

string content_type = 5;

clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

fixed64 context_id = 1;

clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

The ID of the created context.

clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

fixed64 context_id = 1;

clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

fixed64 context_id = 1;

clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

fixed64 context_id = 1;

clearContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

fixed64 context_id = 1;

clearContextName() - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the context.

clearContextName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the context.

clearControlInput() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Ids of the control inputs for this node.

clearControlOpIds() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

clearConvertBoolToInt() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool convertBoolToInt = 14;

clearCooSparse() - Method in class org.tensorflow.framework.TensorInfo.Builder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

clearCostGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

.tensorflow.CostGraphDef cost_graph = 3;

clearCostGraph() - Method in class org.tensorflow.framework.RunMetadata.Builder

The cost graph for the computation defined by the run call.

clearCrc32C() - Method in class org.tensorflow.util.BundleEntryProto.Builder

The CRC32C checksum of the tensor bytes.

clearCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

Set to true if `CreateWorkerSession` was called for `session_handle`.

clearCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Set to true if `CreateWorkerSession` was called for `session_handle`.

clearCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Set to true if `CreateWorkerSession` was called for `session_handle`.

clearCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

Name of the critical section handle.

clearCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

clearCurrentGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The version number of the graph to be extended.

clearCurrentWork() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

bytes current_work = 4;

clearCustomOptimizers() - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

clearData() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

bytes data = 4;

clearDataLocation() - Method in class onnx.Onnx.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

clearDataLocation() - Method in class onnx.OnnxMl.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

clearDataLocation() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

clearDataType() - Method in class onnx.Onnx.TensorProto.Builder

The data type of the tensor.

clearDataType() - Method in class onnx.OnnxMl.TensorProto.Builder

The data type of the tensor.

clearDataType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The data type of the tensor.

clearDataType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.DataType data_type = 3;

clearDataTypeValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.DataType dataTypeValue = 7;

clearDcomplexVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX128.

clearDebugOps() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name(s) of the debugging op(s).

clearDebugOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Field(s) used by TensorFlow Debugger (tfdbg).

clearDebugOptions() - Method in class org.tensorflow.framework.RunOptions.Builder

EXPERIMENTAL.

clearDebugStripper() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Strips debug-related nodes from the graph (off by default).

clearDebugTensorWatchOpts() - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

clearDebugUrls() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

URL(s) for debug targets(s).

clearDefaultGraphInputTensorShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

clearDefaultGraphOutputTensorShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

clearDefaultSessionConfig() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The default configuration for sessions that run on this server.

clearDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Specify a new default value to use for this attr.

clearDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A reasonable default for this attribute if the user does not supply a value.

clearDeferred() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

True if the deallocation is queued and will be performed later, e.g.

clearDeferredDeletionBytes() - Method in class org.tensorflow.framework.GPUOptions.Builder

Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.

clearDenotation() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

clearDenotation() - Method in class onnx.Onnx.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

clearDenotation() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

clearDenotation() - Method in class onnx.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

clearDenseShapeTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.

clearDependencyOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Control dependency optimizations (default is ON).

clearDeprecation() - Method in class org.tensorflow.framework.OpDef.Builder

Optional deprecation based on GraphDef versions.

clearDeprecationMessage() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

If this endpoint is deprecated, set deprecation_message to a message that should be logged when the endpoint is used.

clearDescription() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Note: this will replace any inherited arg doc.

clearDescription() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.

clearDescription() - Method in class org.tensorflow.framework.ApiDef.Builder

Additional, longer human-readable description of what the Op does.

clearDescription() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Human readable description.

clearDescription() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

Human-readable description.

clearDescription() - Method in class org.tensorflow.framework.OpDef.Builder

Additional, longer human-readable description of what the Op does.

clearDescriptionPrefix() - Method in class org.tensorflow.framework.ApiDef.Builder

Modify an existing/inherited description by adding text to the beginning or end.

clearDescriptionSuffix() - Method in class org.tensorflow.framework.ApiDef.Builder

string description_suffix = 10;

clearDestination() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Destination of graph transfer

clearDevice() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device = 10;

clearDevice() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The device of the node.

clearDevice() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

string device = 1;

clearDevice() - Method in class org.tensorflow.framework.NodeDef.Builder

A (possibly partial) specification for the device on which this node should be placed.

clearDevice() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name for the device containing the resource.

clearDevice() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string device = 6;

clearDeviceAttributes() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

clearDeviceAttributes() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

clearDeviceCount() - Method in class org.tensorflow.framework.ConfigProto.Builder

clearDeviceFilters() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

When any filters are present, only devices that match the filters will be reset.

clearDeviceFilters() - Method in class org.tensorflow.framework.ConfigProto.Builder

When any filters are present sessions will ignore all devices which do not match the filters.

clearDeviceId() - Method in class org.tensorflow.framework.InterconnectLink.Builder

int32 device_id = 1;

clearDeviceName() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

repeated string device_name = 4;

clearDeviceName() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

repeated string device_name = 5;

clearDevicePersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Deprecated.

tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52

clearDevicePersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=47

clearDevicePersistentTensorAllocIds() - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

clearDeviceTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Deprecated.

tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=51

clearDeviceTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=46

clearDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

string device_type = 3;

clearDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

string device_type = 3;

clearDeviceType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device_type = 8;

clearDeviceType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of device_type.

clearDeviceType() - Method in class org.tensorflow.framework.KernelDef.Builder

Type of device this kernel runs on.

clearDevStats() - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

clearDim() - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

clearDim() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

clearDim() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

clearDim() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

clearDimParam() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

namespace Shape

clearDimParam() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

clearDimParam() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

namespace Shape

clearDims() - Method in class onnx.Onnx.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

clearDims() - Method in class onnx.Onnx.TensorProto.Builder

The shape of the tensor.

clearDims() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

clearDims() - Method in class onnx.OnnxMl.TensorProto.Builder

The shape of the tensor.

clearDims() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The shape of the tensor.

clearDimValue() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

clearDimValue() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

clearDimValue() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

clearDisableModelPruning() - Method in class org.tensorflow.framework.RewriterConfig.Builder

If true, don't remove unnecessary ops from the graph

clearDisableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

If true, RPC logging will be disabled.

clearDisplayName() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Display name for viewing in TensorBoard.

clearDmaOk() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

If true, use an out-of-band DMA mechanism to transfer the received tensor.

clearDoCommonSubexpressionElimination() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

If true, optimize the graph using common subexpression elimination.

clearDoConstantFolding() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

If true, perform constant folding optimization on the graph.

clearDocString() - Method in class onnx.Onnx.AttributeProto.Builder

A human-readable documentation for this attribute.

clearDocString() - Method in class onnx.Onnx.FunctionProto.Builder

A human-readable documentation for this function.

clearDocString() - Method in class onnx.Onnx.GraphProto.Builder

A human-readable documentation for this graph.

clearDocString() - Method in class onnx.Onnx.ModelProto.Builder

A human-readable documentation for this model.

clearDocString() - Method in class onnx.Onnx.NodeProto.Builder

A human-readable documentation for this node.

clearDocString() - Method in class onnx.Onnx.TensorProto.Builder

A human-readable documentation for this tensor.

clearDocString() - Method in class onnx.Onnx.ValueInfoProto.Builder

A human-readable documentation for this value.

clearDocString() - Method in class onnx.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

clearDocString() - Method in class onnx.OnnxMl.FunctionProto.Builder

A human-readable documentation for this function.

clearDocString() - Method in class onnx.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

clearDocString() - Method in class onnx.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

clearDocString() - Method in class onnx.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

clearDocString() - Method in class onnx.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

clearDocString() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

clearDocString() - Method in class onnx.OnnxOperators.OperatorProto.Builder

A human-readable documentation for this operator.

clearDocString() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

A human-readable documentation for this set of operators.

clearDocString() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

A human-readable documentation for this tensor.

clearDocString() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

A human-readable documentation for this value.

clearDoFunctionInlining() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

If true, perform function inlining on the graph.

clearDomain() - Method in class onnx.Onnx.FunctionProto.Builder

The domain which this function belongs to.

clearDomain() - Method in class onnx.Onnx.ModelProto.Builder

Domain name of the model.

clearDomain() - Method in class onnx.Onnx.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

clearDomain() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

The domain of the operator set being identified.

clearDomain() - Method in class onnx.OnnxMl.FunctionProto.Builder

The domain which this function belongs to.

clearDomain() - Method in class onnx.OnnxMl.ModelProto.Builder

Domain name of the model.

clearDomain() - Method in class onnx.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

clearDomain() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

clearDomain() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

clearDomain() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).

clearDoubleData() - Method in class onnx.Onnx.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

clearDoubleData() - Method in class onnx.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

clearDoubleData() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

clearDoubleVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_DOUBLE.

clearDoubleValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

double doubleValue = 3;

clearDstDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

string dst_device = 9;

clearDtype() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.DataType dtype = 4;

clearDtype() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

.tensorflow.DataType dtype = 5;

clearDtype() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

clearDtype() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

clearDtype() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.DataType dtype = 1;

clearDtype() - Method in class org.tensorflow.framework.TensorDescription.Builder

Data type of tensor elements

clearDtype() - Method in class org.tensorflow.framework.TensorInfo.Builder

.tensorflow.DataType dtype = 2;

clearDtype() - Method in class org.tensorflow.framework.TensorProto.Builder

.tensorflow.DataType dtype = 1;

clearDtype() - Method in class org.tensorflow.util.BundleEntryProto.Builder

The tensor dtype and shape.

clearDuration() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

Length of the trace to be taken, in seconds.

clearElemType() - Method in class onnx.Onnx.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

clearElemType() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

clearElemType() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

clearElemType() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

clearElemType() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

clearElemType() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

clearElemType() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

clearElemType() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

clearElemType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.

clearEnable() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

bool enable = 1;

clearEnableBfloat16Sendrecv() - Method in class org.tensorflow.framework.GraphOptions.Builder

If true, transfer float values between processes as bfloat16.

clearEnableOp() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

If present, only perform optimization for these ops.

clearEnableRecvScheduling() - Method in class org.tensorflow.framework.GraphOptions.Builder

If true, use control flow to schedule the activation of Recv nodes.

clearEnableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

If true, RPC logging will be enabled.

clearEncodedAudioString() - Method in class org.tensorflow.framework.Summary.Audio.Builder

Encoded audio data and its associated RFC 2045 content type (e.g.

clearEncodedImageString() - Method in class org.tensorflow.framework.Summary.Image.Builder

Image data in encoded format.

clearEncoding() - Method in class org.tensorflow.framework.TensorInfo.Builder

clearEnd() - Method in class onnx.Onnx.TensorProto.Segment.Builder

int64 end = 2;

clearEnd() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

int64 end = 2;

clearEnd() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

int64 end = 2;

clearEndianness() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

.tensorflow.BundleHeaderProto.Endianness endianness = 2;

clearEndpoint() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

clearEnqueueOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of enqueue operations.

clearEnvironment() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

clearExclusiveResourceAccess() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).

clearExecOpts() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Options for this step.

clearExecuteInCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

Name of the critical section handle.

clearExecutorName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Executor's name

clearExperimental() - Method in class org.tensorflow.framework.ConfigProto.Builder

.tensorflow.ConfigProto.Experimental experimental = 16;

clearExperimental() - Method in class org.tensorflow.framework.GPUOptions.Builder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

clearExperimental() - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.Experimental experimental = 8;

clearExplanation() - Method in class org.tensorflow.framework.OpDeprecation.Builder

Explanation of why it was deprecated and what to use instead.

clearExtent() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

clearExternalAllocations() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

clearExternalData() - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

clearExternalData() - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

clearExternalData() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

clearExternalValues() - Method in class org.tensorflow.framework.ValuesDef.Builder

clearF() - Method in class onnx.Onnx.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

clearF() - Method in class onnx.OnnxMl.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

clearF() - Method in class org.tensorflow.framework.AttrValue.Builder

"float"

clearF() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(float)"

clearFeed() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Tensors to be fed in future steps.

clearFeed() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

clearFeed() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

clearFeed() - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be fed in the callable.

clearFetch() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Fetches.

clearFetch() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

clearFetch() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Fetches.

clearFetch() - Method in class org.tensorflow.framework.CallableOptions.Builder

Fetches.

clearFetchStepId() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

When set, requests all saved log data pertaining to the step.

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.AttributeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.FunctionProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.GraphProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.ModelProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.NodeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.SparseTensorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.StringStringEntryProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TensorAnnotation.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TensorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TensorProto.Segment.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TensorShapeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TrainingInfoProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TypeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TypeProto.Map.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TypeProto.Optional.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.Onnx.ValueInfoProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.AttributeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.FunctionProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.GraphProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.ModelProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.NodeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TensorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TypeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxOperators.OperatorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.JobDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.ServerDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.StepSequence.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AllocationDescription.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AllocationRecord.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDefs.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AssetFileDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AttrValue.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CallableOptions.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CondContextDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ConfigProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DebugOptions.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DeviceLocality.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.FunctionDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GradientDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphOptions.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.HistogramProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.InterconnectLink.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.KernelDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.LocalLinks.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryStats.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NameAttrList.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NodeDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NodeExecStats.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NodeOutput.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDeprecation.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpList.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RewriterConfig.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RPCOptions.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RunMetadata.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RunOptions.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SavedModel.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SignatureDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.StepStats.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Audio.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Image.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Value.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SummaryDescription.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorConnection.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorDescription.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorInfo.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ValuesDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.VariableDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.VersionDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.WhileContextDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.util.BundleEntryProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.util.SaverDef.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

clearFilename() - Method in class org.tensorflow.framework.AssetFileDef.Builder

The filename within an assets directory.

clearFilenameTensorName() - Method in class org.tensorflow.util.SaverDef.Builder

The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.

clearFilePath() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Path to the source code file.

clearFloatData() - Method in class onnx.Onnx.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

clearFloatData() - Method in class onnx.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

clearFloatData() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

clearFloatList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.FloatList float_list = 4;

clearFloats() - Method in class onnx.Onnx.AttributeProto.Builder

list of floats

clearFloats() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of floats

clearFloatVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_FLOAT.

clearFloatValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

float floatValue = 2;

clearForceGpuCompatible() - Method in class org.tensorflow.framework.GPUOptions.Builder

Force all tensors to be gpu_compatible.

clearFrameworkName() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string frameworkName = 1;

clearFrequency() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Core Frequency in Mhz

clearFromTensor() - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

clearFullName() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Name of the full variable of which this is a slice.

clearFullName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The full name of the variable/tensor, if applicable.

clearFullShape() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of the full variable.

clearFunc() - Method in class org.tensorflow.framework.AttrValue.Builder

"func" represents a function.

clearFunc() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

clearFunction() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

clearFunctionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

.tensorflow.FunctionDef function_def = 2;

clearFunctionName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string functionName = 2;

clearFunctionName() - Method in class org.tensorflow.framework.GradientDef.Builder

The function name.

clearFunctionOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Function optimizations (default is ON).

clearFunctions() - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

clearFunctions() - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

clearFunctions() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

clearG() - Method in class onnx.Onnx.AttributeProto.Builder

graph

clearG() - Method in class onnx.OnnxMl.AttributeProto.Builder

graph

clearGlobalJitLevel() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

clearGlobalName() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

The global name of the threadpool.

clearGlobalStep() - Method in class org.tensorflow.framework.DebugOptions.Builder

Caller-specified global step count.

clearGpuOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all GPUs.

clearGradient() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

clearGradientFunc() - Method in class org.tensorflow.framework.GradientDef.Builder

The gradient function's name.

clearGraph() - Method in class onnx.Onnx.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

clearGraph() - Method in class onnx.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

clearGraphDef() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The initial graph definition.

clearGraphDef() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The nodes to be added to the session's graph.

clearGraphDef() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

clearGraphDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

GraphDef.

clearGraphHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

clearGraphHandle() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

If the registration succeeds, returns an opaque graph_handle to the master.

clearGraphHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

clearGraphInputNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

clearGraphInputNodeName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph input node name

clearGraphKey() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

repeated int64 graph_key = 1;

clearGraphKey() - Method in class org.tensorflow.distruntime.StepSequence.Builder

int64 graph_key = 1;

clearGraphOpName() - Method in class org.tensorflow.framework.ApiDef.Builder

Name of the op (in the OpDef) to specify the API for.

clearGraphOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Configuration options for the session in which this graph was created.

clearGraphOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all graphs.

clearGraphOutputNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

clearGraphOutputNodeName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph output node name

clearGraphs() - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

clearGraphs() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

clearGraphVersion() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

The initial version number for the graph, to be used in the next call to ExtendSession.

clearGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

int32 group_key = 1;

clearGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

int32 group_key = 1;

clearGroupKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 group_key = 5;

clearGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

int32 group_size = 2;

clearGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

int32 group_size = 2;

clearGroupSize() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 group_size = 6;

clearHalfVal() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For half values (tensorflow compatibility)

clearHalfVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_HALF, DT_BFLOAT16.

clearHandle() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

A handle to the created callable.

clearHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

clearHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

clearHandle() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

Handle describing the feeds and fetches of the step.

clearHandleToDecref() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

clearHasControlFlow() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Deprecated.

tensorflow.RegisterGraphRequest.has_control_flow is deprecated. See tensorflow/core/protobuf/worker.proto;l=117

clearHashCode() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Hash code for the type of the resource.

clearHasLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

clearHasMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

For type == "int", this is a minimum value.

clearHasSingleReference() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Set if this tensor only has one remaining reference

clearHeight() - Method in class org.tensorflow.framework.Summary.Image.Builder

Dimensions of the image.

clearHisto() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.HistogramProto histo = 5;

clearHost() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

The host name on which a source code file is located.

clearHostMemoryArg() - Method in class org.tensorflow.framework.KernelDef.Builder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

clearHostTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Deprecated.

tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=50

clearI() - Method in class onnx.Onnx.AttributeProto.Builder

int

clearI() - Method in class onnx.OnnxMl.AttributeProto.Builder

int

clearI() - Method in class org.tensorflow.framework.AttrValue.Builder

"int"

clearI() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(int)"

clearId() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The id of the node.

clearId() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

A unique identifier for the operation.

clearImage() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Image image = 4;

clearInArg() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

clearIncarnation() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

A device is assigned a global unique number each time it is initialized.

clearIndex() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Index of the output being set.

clearIndexOverrides() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

clearIndices() - Method in class onnx.Onnx.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

clearIndices() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

clearIndicesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The indices Tensor must have dtype int64 and shape [?, ?].

clearInferShapes() - Method in class org.tensorflow.framework.GraphOptions.Builder

Annotate each Node with Op output shape data, to the extent it can be statically inferred.

clearInitialization() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

clearInitialization() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

clearInitializationBinding() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

clearInitializationBinding() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

clearInitializer() - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

clearInitializer() - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

clearInitializerName() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the initializer op.

clearInitialValueName() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the tensor holding the variable's initial value.

clearInput() - Method in class onnx.Onnx.FunctionProto.Builder

The inputs and outputs of the function.

clearInput() - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

clearInput() - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

clearInput() - Method in class onnx.OnnxMl.FunctionProto.Builder

The inputs and outputs of the function.

clearInput() - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

clearInput() - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

clearInput() - Method in class org.tensorflow.framework.NodeDef.Builder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

clearInputArg() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

clearInputBooleanName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputBooleanName = 11;

clearInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 input_count = 6;

clearInputDataTypeName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDataTypeName = 15;

clearInputDoubleName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDoubleName = 9;

clearInputFloatName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputFloatName = 7;

clearInputFrameworkOpName() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string inputFrameworkOpName = 3;

clearInputFrameworkOpName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string inputFrameworkOpName = 20;

clearInputInfo() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

clearInputIntName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputIntName = 5;

clearInputs() - Method in class org.tensorflow.framework.SignatureDef.Builder

clearInputs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

clearInputStringAttrName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputStringAttrName = 3;

clearInputTensorName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputTensorName = 13;

clearInputToOutput() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

clearInputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto inputValue = 8;

clearInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 instance_key = 7;

clearInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

int32 instance_key = 1;

clearInt32Data() - Method in class onnx.Onnx.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

clearInt32Data() - Method in class onnx.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

clearInt32Data() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

clearInt32Value() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

int32 int32Value = 4;

clearInt64Data() - Method in class onnx.Onnx.TensorProto.Builder

For int64.

clearInt64Data() - Method in class onnx.OnnxMl.TensorProto.Builder

For int64.

clearInt64Data() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int64.

clearInt64List() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.Int64List int64_list = 3;

clearInt64Val() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT64

clearInt64Value() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

int64 int64Value = 5;

clearInterOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder

Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.

clearInterOpThreadPool() - Method in class org.tensorflow.framework.RunOptions.Builder

The thread pool to use, if session_inter_op_thread_pool is configured.

clearIntraOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder

The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.

clearInts() - Method in class onnx.Onnx.AttributeProto.Builder

list of ints

clearInts() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of ints

clearIntVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

clearIrBuildMetadata() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The build metadata component of the SemVer of the IR.

clearIrVersion() - Method in class onnx.Onnx.ModelProto.Builder

The version of the IR this model targets.

clearIrVersion() - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the IR this model targets.

clearIrVersion() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

All OperatorSetProtos indicate the version of the IR syntax and semantics they adhere to.

clearIrVersionPrerelease() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The prerelease component of the SemVer of the IR.

clearIsAggregate() - Method in class org.tensorflow.framework.OpDef.Builder

If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.

clearIsArray() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool isArray = 15;

clearIsCommutative() - Method in class org.tensorflow.framework.OpDef.Builder

True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)

clearIsDead() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

True if value is 'dead' like a tensor.

clearIsDead() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

If true, this tensor was the output of a dead node, and the content is invalid.

clearIsFinal() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

If true, the output is permanent: it can't be discarded, because this node is part of the "final output".

clearIsLastPartialRun() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

True if this is the last partial run request in a sequence of requests.

clearIsolateSessionState() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

If true, any resources such as Variables used in the session will not be shared with other sessions.

clearIsolateSessionState() - Method in class org.tensorflow.framework.ConfigProto.Builder

If true, any resources such as Variables used in the session will not be shared with other sessions.

clearIsPartial() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

True if the RunGraphRequest is a partial run request.

clearIsRef() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

For inputs: if true, the inputs are required to be refs.

clearIsResource() - Method in class org.tensorflow.framework.VariableDef.Builder

Whether to represent this as a ResourceVariable.

clearIsSource() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

bool is_source = 11;

clearIsStateful() - Method in class org.tensorflow.framework.OpDef.Builder

Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.

clearItem() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

clearJob() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

clearJobName() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The name of the job of which this server is a member.

clearKeepAliveSecs() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Number of seconds to keep the context alive.

clearKeepCheckpointEveryNHours() - Method in class org.tensorflow.util.SaverDef.Builder

How often to keep an additional checkpoint.

clearKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".

clearKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".

clearKey() - Method in class onnx.Onnx.StringStringEntryProto.Builder

string key = 1;

clearKey() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string key = 1;

clearKey() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

string key = 1;

clearKey() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string key = 1;

clearKeys() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

Keys for tensors in the VariantTensorDataProto.

clearKeyType() - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

clearKeyType() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

clearKind() - Method in class org.tensorflow.framework.CollectionDef.Builder

clearL1CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

L1 cache size in bytes

clearL2CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

L2 cache size in bytes

clearL3CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

L3 cache size in bytes

clearLabel() - Method in class org.tensorflow.framework.KernelDef.Builder

This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.

clearLastModified() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

The timestamp at which the source code file is last modified.

clearLayoutOptimizer() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Optimize tensor layouts (default is ON) e.g.

clearLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

int64 length = 2;

clearLengthFrames() - Method in class org.tensorflow.framework.Summary.Audio.Builder

Length of the audio in frames (samples per channel).

clearLibrary() - Method in class org.tensorflow.framework.GraphDef.Builder

EXPERIMENTAL.

clearLines() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Line-by-line content of the source code file.

clearLink() - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

clearLinks() - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional local interconnect links to other devices.

clearList() - Method in class org.tensorflow.framework.AttrValue.Builder

any "list(...)"

clearListener(OpProfiler.OpProfilerListener) - Method in class org.nd4j.linalg.profiler.OpProfiler

Clear the listener from the profiler

clearLiveBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The bytes that are not deallocated.

clearLocalDevice() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

clearLocality() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Platform-specific data about device that may be useful for supporting efficient data transfers.

clearLocalName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

A user-provided name for the edge.

clearLogDevicePlacement() - Method in class org.tensorflow.framework.ConfigProto.Builder

Whether device placements should be logged.

clearLoopEnterNames() - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for enter tensors.

clearLoopExitNames() - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for exit tensors.

clearLoopOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Loop optimizations (default is ON).

clearMagic() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

All OperatorSetProtos start with a distingushed byte sequence to disambiguate protobuf files containing OperatorSets from other content.

clearMappings() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

clearMapType() - Method in class onnx.Onnx.TypeProto.Builder

The type of a map.

clearMapType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a map.

clearMax() - Method in class org.tensorflow.framework.HistogramProto.Builder

double max = 2;

clearMaxByteSize() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

repeated int32 max_byte_size = 2;

clearMaxFoldedConstantInBytes() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.

clearMaximumIterationsName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Optional name of the maximum_iterations tensor.

clearMaxToKeep() - Method in class org.tensorflow.util.SaverDef.Builder

Maximum number of checkpoints to keep.

clearMaybeTypeName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

For debug-only, the name of the type pointed to by this handle, if available.

clearMemory() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

clearMemoryLimit() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Memory capacity of device in bytes.

clearMemoryLimitMb() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

Per "virtual" device memory limit, in MB.

clearMemoryOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures memory optimization passes through the meta-optimizer.

clearMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.framework.RewriterConfig.Builder

A node name scope for node names which are valid outputs of recompuations.

clearMemorySize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Memory size in bytes

clearMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats.Builder

.tensorflow.MemoryStats memory_stats = 12;

clearMemoryTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Analytical estimate of the memory access cost of this node, in microseconds.

clearMetadata() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Returned metadata if requested in the options.

clearMetadata() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

Returned metadata if requested in the options.

clearMetadata() - Method in class org.tensorflow.framework.Summary.Value.Builder

Contains metadata on the summary value such as which plugins may use it.

clearMetadata() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Portions of the object that are not Tensors.

clearMetadataProps() - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

clearMetadataProps() - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

clearMetaGraphs() - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

clearMetaGraphVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User specified Version string.

clearMetaInfoDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

clearMetaOptimizerIterations() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Controls how many times we run the optimizers in meta optimizer (default is once).

clearMethodName() - Method in class org.tensorflow.framework.SignatureDef.Builder

Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.

clearMin() - Method in class org.tensorflow.framework.HistogramProto.Builder

double min = 1;

clearMinConsumer() - Method in class org.tensorflow.framework.VersionDef.Builder

Any consumer below this version is not allowed to consume this data.

clearMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

int64 minimum = 6;

clearModel() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Model (Haswell, K40, ...)

clearModelVersion() - Method in class onnx.Onnx.ModelProto.Builder

The version of the graph encoded.

clearModelVersion() - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the graph encoded.

clearName() - Method in class onnx.Onnx.AttributeProto.Builder

The name field MUST be present for this version of the IR.

clearName() - Method in class onnx.Onnx.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

clearName() - Method in class onnx.Onnx.GraphProto.Builder

The name of the graph.

clearName() - Method in class onnx.Onnx.NodeProto.Builder

An optional identifier for this node in a graph.

clearName() - Method in class onnx.Onnx.TensorProto.Builder

Optionally, a name for the tensor.

clearName() - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

clearName() - Method in class onnx.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

clearName() - Method in class onnx.OnnxMl.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

clearName() - Method in class onnx.OnnxMl.GraphProto.Builder

The name of the graph.

clearName() - Method in class onnx.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

clearName() - Method in class onnx.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

clearName() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

clearName() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

clearName() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated string name = 2;

clearName() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string name = 1;

clearName() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

string name = 1;

clearName() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Optionally, a name for the tensor.

clearName() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

clearName() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string name = 1;

clearName() - Method in class org.tensorflow.distruntime.JobDef.Builder

The name of this job.

clearName() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

string name = 1;

clearName() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

string name = 1;

clearName() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

Name should be either like "CamelCaseName" or "Package.CamelCaseName".

clearName() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The name of the node.

clearName() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Fully specified name of the device within a cluster.

clearName() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

string name = 1;

clearName() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

string name = 1;

clearName() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

string name = 1;

clearName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string name = 1;

clearName() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

Name of an attr from the Op.

clearName() - Method in class org.tensorflow.framework.NameAttrList.Builder

string name = 1;

clearName() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

Name of the tensor.

clearName() - Method in class org.tensorflow.framework.NodeDef.Builder

The name given to this operator.

clearName() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Name for the input/output.

clearName() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A descriptive name for the argument.

clearName() - Method in class org.tensorflow.framework.OpDef.Builder

Op names starting with an underscore are reserved for internal use.

clearName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name of this resource.

clearName() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

string name = 1;

clearName() - Method in class org.tensorflow.framework.TensorInfo.Builder

For dense `Tensor`s, the name of the tensor in the graph.

clearName() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

Optional name of the tensor dimension.

clearName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

A name for the Tensor.

clearName() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

string name = 1;

clearName() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string name = 2;

clearNans(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Clear nans from an ndarray

clearNestedContexts() - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

clearNestedContexts() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

clearNewGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

The new version number for the extended graph, to be used in the next call to ExtendSession.

clearNextStepId() - Method in class org.tensorflow.distruntime.StepSequence.Builder

int64 next_step_id = 2;

clearNode() - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

clearNode() - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

clearNode() - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

clearNode() - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

clearNode() - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

clearNode() - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

clearNodeDef() - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

clearNodeId() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

int32 node_id = 2;

clearNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 node_id = 2;

clearNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

int32 node_id = 1;

clearNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

int32 node_id = 1;

clearNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

int32 node_id = 1;

clearNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.

clearNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

clearNodeInput() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

clearNodeInputInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

clearNodeList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.NodeList node_list = 1;

clearNodeName() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name of the node to watch.

clearNodeName() - Method in class org.tensorflow.framework.NodeExecStats.Builder

TODO(tucker): Use some more compact form of node identity than the full string name.

clearNodeName() - Method in class org.tensorflow.framework.Summary.Value.Builder

This field is deprecated and will not be set.

clearNodeOutputInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

clearNodes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

clearNodeStats() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

clearNum() - Method in class org.tensorflow.framework.HistogramProto.Builder

double num = 3;

clearNumaNode() - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional NUMA locality of device.

clearNumberAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "int"

clearNumBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Size of value expected, must agree with BufRendezvous entry.

clearNumBytes() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Byte length of buf_ptr field, if set.

clearNumBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Number of bytes in the allocation.

clearNumChannels() - Method in class org.tensorflow.framework.Summary.Audio.Builder

Number of channels of audio.

clearNumCores() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Number of cores

clearNumRecordsProduced() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

int64 num_records_produced = 3;

clearNumRegisters() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Number of registers per core.

clearNumReplicas() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

int32 num_replicas = 2;

clearNumShards() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Number of data files in the bundle.

clearNumTasks() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

number of distinct tasks hosting the devices

clearNumThreads() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

The number of threads in the pool.

clearObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value.Builder

bytes obsolete_old_style_histogram = 3;

clearOffset() - Method in class org.tensorflow.util.BundleEntryProto.Builder

int64 offset = 4;

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.AttributeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.FunctionProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.GraphProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.ModelProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.NodeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.SparseTensorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.StringStringEntryProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TensorAnnotation.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TensorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TensorProto.Segment.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TensorShapeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TrainingInfoProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TypeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TypeProto.Map.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TypeProto.Optional.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.Onnx.ValueInfoProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.AttributeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.FunctionProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.GraphProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.ModelProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.NodeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TensorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TypeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxOperators.OperatorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.JobDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.ServerDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.StepSequence.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AllocationDescription.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AllocationRecord.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDefs.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AssetFileDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AttrValue.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CallableOptions.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CondContextDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ConfigProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DebugOptions.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DeviceLocality.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.FunctionDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GradientDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphOptions.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.HistogramProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.InterconnectLink.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.KernelDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.LocalLinks.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryStats.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NameAttrList.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NodeDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NodeExecStats.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NodeOutput.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDeprecation.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpList.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RewriterConfig.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RPCOptions.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RunMetadata.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RunOptions.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SavedModel.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SignatureDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.StepStats.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Audio.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Image.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Value.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SummaryDescription.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorConnection.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorDescription.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorInfo.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ValuesDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.VariableDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.VersionDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.WhileContextDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.util.BundleEntryProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.util.SaverDef.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

clearOnRead - Variable in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

clearOp() - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

clearOp() - Method in class org.tensorflow.framework.KernelDef.Builder

Must match the name of an Op.

clearOp() - Method in class org.tensorflow.framework.NodeDef.Builder

The operation name.

clearOp() - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

clearOpaqueType() - Method in class onnx.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

clearOpDeclarationType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

.org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;

clearOpEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 op_end_rel_micros = 4;

clearOperation() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the operation making the allocation.

clearOperation() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the operation making the deallocation.

clearOperation() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.Operation operation = 2;

clearOperationTimeoutInMs() - Method in class org.tensorflow.framework.ConfigProto.Builder

Global timeout for all blocking operations in this session.

clearOperator() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

clearOpId() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

The ID of the operation that produced this tensor.

clearOpId() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

Ids to wait on.

clearOpInputs() - Method in class org.nd4j.autodiff.samediff.SameDiff

Clear the input arrays to each op.

clearOpList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

clearOpName() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string opName = 2;

clearOpsetImport() - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

clearOpsetImport() - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

clearOpsetImport() - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

clearOpsetImport() - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

clearOpsetVersion() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The version of the set of operators.

clearOpStartRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 op_start_rel_micros = 3;

clearOptimizerOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options controlling how graph is optimized.

clearOptimizers() - Method in class org.tensorflow.framework.RewriterConfig.Builder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

clearOptionalType() - Method in class onnx.Onnx.TypeProto.Builder

The type of an optional.

clearOptionalType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of an optional.

clearOptions() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

Options that define the behavior of the created callable.

clearOptions() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Options for the run call.

clearOptions() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

.tensorflow.TraceOpts options = 1;

clearOptLevel() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

Overall optimization level.

clearOpType() - Method in class onnx.Onnx.NodeProto.Builder

The symbolic identifier of the Operator to execute.

clearOpType() - Method in class onnx.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

clearOpType() - Method in class onnx.OnnxOperators.OperatorProto.Builder

The name of the operator within a domain.

clearOriginalVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.

clearOutArg() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

clearOutput() - Method in class onnx.Onnx.FunctionProto.Builder

repeated string output = 5;

clearOutput() - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

clearOutput() - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

clearOutput() - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated string output = 5;

clearOutput() - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

clearOutput() - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

clearOutput() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

clearOutputArg() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

clearOutputBooleanName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputBooleanName = 12;

clearOutputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 output_count = 7;

clearOutputDataTypeName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDataTypeName = 16;

clearOutputDoubleName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDoubleName = 10;

clearOutputFloatName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputFloatName = 8;

clearOutputInfo() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

clearOutputIntName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputIntName = 6;

clearOutputNum() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

The index into the outputs of the operation that produced this tensor.

clearOutputPartitionGraphs() - Method in class org.tensorflow.framework.RunOptions.Builder

Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.

clearOutputPort() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

int32 output_port = 2;

clearOutputs() - Method in class org.tensorflow.framework.SignatureDef.Builder

clearOutputSlot() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Output slot to watch.

clearOutputStringAttrName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputStringAttrName = 4;

clearOutputTensorName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputTensorName = 14;

clearOutputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto outputValue = 9;

clearPaddingId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 padding_id = 5;

clearParallelIterations() - Method in class org.tensorflow.framework.WhileContextDef.Builder

The number of iterations allowed to run in parallel.

clearParameterMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

clearPartialRunHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.

clearPartialRunHandle() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Partial run handle (optional).

clearPartitionGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

clearPartitionGraphs() - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

clearPeakBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

int64 peak_bytes = 3;

clearPerProcessGpuMemoryFraction() - Method in class org.tensorflow.framework.GPUOptions.Builder

Fraction of the available GPU memory to allocate for each process.

clearPersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Persistent memory used by this node.

clearPersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder

int64 persistent_memory_size = 3;

clearPersistentTensorAllocIds() - Method in class org.tensorflow.framework.MemoryStats.Builder

repeated int64 persistent_tensor_alloc_ids = 5;

clearPhysicalDeviceDesc() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of the physical device that this device maps to.

clearPinnedAllocations(boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

clearPivotForBodyName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_body tensor.

clearPivotForPredName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_pred tensor.

clearPivotName() - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pivot tensor.

clearPivotName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot tensor.

clearPlaceholder() - Method in class org.tensorflow.framework.AttrValue.Builder

This is a placeholder only used in nodes defined inside a function.

clearPlaceholders(boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Clear the placeholder arrays from the SameDiff instance

clearPlacementPeriod() - Method in class org.tensorflow.framework.ConfigProto.Builder

Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).

clearPlacePrunedGraph() - Method in class org.tensorflow.framework.GraphOptions.Builder

Only place the subgraphs that are run, rather than the entire graph.

clearPluginData() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Data that associates a summary with a certain plugin.

clearPluginName() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

The name of the plugin this data pertains to.

clearPollingActiveDelayUsecs() - Method in class org.tensorflow.framework.GPUOptions.Builder

In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.

clearPollingInactiveDelayMsecs() - Method in class org.tensorflow.framework.GPUOptions.Builder

This field is deprecated and ignored.

clearPrecedingNode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

int32 preceding_node = 1;

clearPrecedingPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

int32 preceding_port = 2;

clearPredName() - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pred tensor.

clearProducer() - Method in class org.tensorflow.framework.VersionDef.Builder

The version of the code that produced this data.

clearProducerName() - Method in class onnx.Onnx.ModelProto.Builder

The name of the framework or tool used to generate this model.

clearProducerName() - Method in class onnx.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

clearProducerVersion() - Method in class onnx.Onnx.ModelProto.Builder

The version of the framework or tool used to generate this model.

clearProducerVersion() - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

clearProperties() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

.tensorflow.DeviceProperties properties = 2;

clearProtocol() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The protocol to be used by this server.

clearPtr() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Address of the allocation.

clearPtr() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Address of the allocation.

clearQuantizationAnnotation() - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

clearQuantizationAnnotation() - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

clearQuantParameterTensorNames() - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

clearQuantParameterTensorNames() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

clearQueue() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

clearQueueClosedExceptionTypes() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

clearQueueName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

Queue name.

clearRawData() - Method in class onnx.Onnx.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

clearRawData() - Method in class onnx.OnnxMl.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

clearRawData() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

clearRecordCosts() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool record_costs = 1;

clearRecordPartitionGraphs() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool record_partition_graphs = 4;

clearRecordTimeline() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool record_timeline = 3;

clearRecv() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

clearRecvKey() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

repeated string recv_key = 4;

clearRefAttrName() - Method in class onnx.Onnx.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

clearRefAttrName() - Method in class onnx.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

clearReferencedTensor() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

clearRemapping() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Remapping (default is ON) Remap subgraphs onto more efficient implementations.

clearRemoteDevice() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

clearRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Definition of remote graph

clearRenameTo() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Change the name used to access this arg in the API from what is used in the GraphDef.

clearRenameTo() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Change the name used to access this attr in the API from what is used in the GraphDef.

clearRendezvousKey() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

A key identifying the channel to receive tensors from.

clearReportTensorAllocationsUponOom() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool report_tensor_allocations_upon_oom = 5;

clearReportTensorAllocationsUponOom() - Method in class org.tensorflow.framework.RunOptions.Builder

When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).

clearRequestedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Total number of bytes requested

clearRequestId() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Unique identifier for this request.

clearResourceHandleVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

clearRestoreOpName() - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when restoring a model checkpoint.

clearRet() - Method in class org.tensorflow.framework.FunctionDef.Builder

clearRewriteOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options that control the type and amount of graph rewriting.

clearRpcOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply when this session uses the distributed runtime.

clearRule() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

clearRuleName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleName = 1;

clearRuleType() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleType = 18;

clearRunOptions() - Method in class org.tensorflow.framework.CallableOptions.Builder

Options that will be applied to each run.

clearS() - Method in class onnx.Onnx.AttributeProto.Builder

UTF-8 string

clearS() - Method in class onnx.OnnxMl.AttributeProto.Builder

UTF-8 string

clearS() - Method in class org.tensorflow.framework.AttrValue.Builder

"string"

clearS() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(string)"

clearSampleRate() - Method in class org.tensorflow.framework.Summary.Audio.Builder

Sample rate of the audio in Hz.

clearSavedModelSchemaVersion() - Method in class org.tensorflow.framework.SavedModel.Builder

The schema version of the SavedModel instance.

clearSaverDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

SaverDef.

clearSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef.Builder

Support for saving variables as slices of a larger variable.

clearSaveTensorName() - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when saving a model checkpoint.

clearScheduledMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 scheduled_micros = 9;

clearScomplexVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX64.

clearScopedAllocatorOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).

clearScopedAllocatorOpts() - Method in class org.tensorflow.framework.RewriterConfig.Builder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

clearSegment() - Method in class onnx.Onnx.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

clearSegment() - Method in class onnx.OnnxMl.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

clearSegment() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

.org.nd4j.ir.TensorProto.Segment segment = 3;

clearSend() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

clearSendStartMicros() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, for timeline.

clearSendStartMicros() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The time at which tensor was available and started to be returned.

clearSequenceType() - Method in class onnx.Onnx.TypeProto.Builder

The type of a sequence.

clearSequenceType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a sequence.

clearSerializedExecutorParameters() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Parameters given to the executor

clearServerDef() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Defines the configuration of a TensorFlow worker.

clearServerDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Identifies the full cluster, and this particular worker's position within.

clearServerLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on server-side device locality.

clearServerLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on server-side device locality.

clearSessionHandle() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

clearSessionHandle() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

The session handle to be used in subsequent calls for the created session.

clearSessionHandle() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Sessions are identified by a given handle.

clearSessionHandle() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

Sessions are identified by a given handle.

clearSessionHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

The session_handle used when registering the graph.

clearSessionHandle() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

clearSessionHandle() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

Optional: session_handle must be returned by a CreateSession call to the same master service.

clearSessionHandle() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

clearSessionHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

clearSessionHandle() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Subgraphs are scoped within one session.

clearSessionHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

clearSessionHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

clearSessionHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

session_handle is the master-generated unique id for this session.

clearSessionHandle() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

clearSessionInterOpThreadPool() - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

clearShape() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

clearShape() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

clearShape() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

clearShape() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

clearShape() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

.org.nd4j.ir.TensorShapeProto shape = 2;

clearShape() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.TensorShapeProto shape = 4;

clearShape() - Method in class org.tensorflow.framework.AttrValue.Builder

"shape"

clearShape() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

clearShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.TensorShapeProto shape = 3;

clearShape() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

repeated int64 shape = 3;

clearShape() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

repeated int64 shape = 2;

clearShape() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

repeated int64 shape = 2;

clearShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.TensorShapeProto shape = 2;

clearShape() - Method in class org.tensorflow.framework.TensorDescription.Builder

Shape of the tensor.

clearShape() - Method in class org.tensorflow.util.BundleEntryProto.Builder

.tensorflow.TensorShapeProto shape = 2;

clearShapeOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Shape optimizations (default is ON) Simplify computations made on shapes.

clearSharded() - Method in class org.tensorflow.util.SaverDef.Builder

Shard the save files, one per device that has Variable nodes.

clearShardId() - Method in class org.tensorflow.util.BundleEntryProto.Builder

The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).

clearSharedMemorySizePerMultiprocessor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Shared memory size per multiprocessor in bytes.

clearSignature() - Method in class org.tensorflow.framework.FunctionDef.Builder

The definition of the function's name, arguments, return values, attrs etc.

clearSignatureDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

clearSimpleValue() - Method in class org.tensorflow.framework.Summary.Value.Builder

float simple_value = 2;

clearSinceVersion() - Method in class onnx.OnnxOperators.OperatorProto.Builder

The version of the operator set that first introduced this operator.

clearSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

int64 size = 1;

clearSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

Size of the tensor in that dimension.

clearSize() - Method in class org.tensorflow.util.BundleEntryProto.Builder

int64 size = 5;

clearSlices() - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

clearSlot() - Method in class org.tensorflow.framework.NodeOutput.Builder

int32 slot = 1;

clearSlotName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

The name of the slot (e.g.

clearSlotVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.

clearSlotVariables() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

clearSnapshotName() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the snapshot tensor.

clearSocOpId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 soc_op_id = 4;

clearSourceFiles() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

clearSourceRank() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

int32 source_rank = 2;

clearSparseInitializer() - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

clearSparseInitializer() - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

clearSparseTensor() - Method in class onnx.Onnx.AttributeProto.Builder

sparse tensor value

clearSparseTensor() - Method in class onnx.OnnxMl.AttributeProto.Builder

sparse tensor value

clearSparseTensors() - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

clearSparseTensors() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

clearSparseTensorType() - Method in class onnx.Onnx.TypeProto.Builder

Type of the sparse tensor

clearSparseTensorType() - Method in class onnx.OnnxMl.TypeProto.Builder

Type of the sparse tensor

clearSrcDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, for annotating the timeline.

clearStart() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

Start index of the slice, starting at 0.

clearStatus() - Method in class onnx.OnnxOperators.OperatorProto.Builder

This field indicates whether the syntax, semantics, or presence of this operator is in an experimental or stable stage.

clearStatusCode() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

clearStatusCode() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

clearStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

string status_error_message = 6;

clearStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

string status_error_message = 4;

clearStep() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

clearStepId() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

int64 step_id = 1;

clearStepId() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

int64 step_id = 1;

clearStepId() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Used at server side to find the correct BufRendezvous.

clearStepId() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

The step in which the tensor will be produced.

clearStepId() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

A unique ID to distinguish different runs of the same graph.

clearStepId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Process-unique step id.

clearStepId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Process-unique step id.

clearStepId() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

Process-unique step id.

clearStepId() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Process-unique step id.

clearStepId() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Process-unique step id.

clearStepSequence() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

clearStepStats() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

.tensorflow.StepStats step_stats = 2;

clearStepStats() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

clearStepStats() - Method in class org.tensorflow.framework.RunMetadata.Builder

Statistics traced for this step.

clearStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.

clearStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.

clearStrength() - Method in class org.tensorflow.framework.InterconnectLink.Builder

int32 strength = 3;

clearStringData() - Method in class onnx.Onnx.TensorProto.Builder

For strings.

clearStringData() - Method in class onnx.OnnxMl.TensorProto.Builder

For strings.

clearStringData() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For strings.

clearStrings() - Method in class onnx.Onnx.AttributeProto.Builder

list of UTF-8 strings

clearStrings() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

clearStringVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_STRING

clearStringValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string stringValue = 12;

clearStrippedDefaultAttrs() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.

clearStrippedOpList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A copy of the OpDefs used by the producer of this graph_def.

clearSubdivOffset() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

repeated int32 subdiv_offset = 9;

clearSum() - Method in class org.tensorflow.framework.HistogramProto.Builder

double sum = 4;

clearSummary() - Method in class org.tensorflow.framework.ApiDef.Builder

One-line human-readable description of what the Op does.

clearSummary() - Method in class org.tensorflow.framework.OpDef.Builder

One-line human-readable description of what the Op does.

clearSummaryDescription() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Longform readable description of the summary sequence.

clearSumSquares() - Method in class org.tensorflow.framework.HistogramProto.Builder

double sum_squares = 5;

clearSwapMemory() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Whether GPU-CPU memory swap is enabled for this loop.

clearT() - Method in class onnx.Onnx.AttributeProto.Builder

tensor value

clearT() - Method in class onnx.OnnxMl.AttributeProto.Builder

tensor value

clearTag() - Method in class org.tensorflow.framework.Summary.Value.Builder

Tag name for the data.

clearTags() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User supplied tag(s) on the meta_graph and included graph_def.

clearTarget() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The target string used from the client's perspective.

clearTarget() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Target Nodes.

clearTarget() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Target Nodes.

clearTarget() - Method in class org.tensorflow.framework.CallableOptions.Builder

Target Nodes.

clearTaskIndex() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The task index of this server in its job.

clearTaskName() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

task name prefixes of device_names

clearTasks() - Method in class org.tensorflow.distruntime.JobDef.Builder

clearTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder

int64 temp_memory_size = 1;

clearTemporaryMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Temporary memory used by this node.

clearTensor() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The tensor as a proto.

clearTensor() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

clearTensor() - Method in class org.tensorflow.framework.AttrValue.Builder

"tensor"

clearTensor() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

clearTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Allocated tensor details.

clearTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Output tensor details.

clearTensor() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

clearTensor() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.TensorProto tensor = 8;

clearTensorConnection() - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

clearTensorContent() - Method in class org.tensorflow.framework.TensorProto.Builder

Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.

clearTensorContent() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

bytes tensor_content = 1;

clearTensorDescription() - Method in class org.tensorflow.framework.NodeOutput.Builder

.tensorflow.TensorDescription tensor_description = 3;

clearTensorflowGitVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __git_version__ string of the tensorflow build used to write this graph.

clearTensorflowVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __version__ string of the tensorflow build used to write this graph.

clearTensorInfo() - Method in class org.tensorflow.framework.AssetFileDef.Builder

The tensor to bind the asset filename to.

clearTensorName() - Method in class onnx.Onnx.TensorAnnotation.Builder

string tensor_name = 1;

clearTensorName() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

string tensor_name = 1;

clearTensors() - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

clearTensors() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

clearTensors() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

clearTensorShape() - Method in class org.tensorflow.framework.TensorInfo.Builder

The static shape should be recorded here, to the extent that it can be known in advance.

clearTensorShape() - Method in class org.tensorflow.framework.TensorProto.Builder

Shape of the tensor.

clearTensorType() - Method in class onnx.Onnx.TypeProto.Builder

The type of a tensor.

clearTensorType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a tensor.

clearTensorType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

The type of a tensor.

clearThreadId() - Method in class org.tensorflow.framework.NodeExecStats.Builder

uint32 thread_id = 10;

clearTimelineLabel() - Method in class org.tensorflow.framework.NodeExecStats.Builder

string timeline_label = 8;

clearTimelineStep() - Method in class org.tensorflow.framework.GraphOptions.Builder

If > 0, record a timeline every this many steps.

clearTimeoutInMs() - Method in class org.tensorflow.framework.RunOptions.Builder

Time to wait for operation to complete in milliseconds.

clearTolerateDebugOpCreationFailures() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Do not error out if debug op creation fails (e.g., due to dtype incompatibility).

clearTotalBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

These are per-node allocator memory stats.

clearToTensor() - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

clearTp() - Method in class onnx.Onnx.AttributeProto.Builder

Do not use field below, it's deprecated.

clearTp() - Method in class onnx.OnnxMl.AttributeProto.Builder

Do not use field below, it's deprecated.

clearTraceLevel() - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.TraceLevel trace_level = 1;

clearTrainable() - Method in class org.tensorflow.framework.VariableDef.Builder

Whether this variable should be trained.

clearTrainingInfo() - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

clearTrainingInfo() - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

clearTransformerArgs() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

clearTransformerArgs() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

clearTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, implementation-specific data.

clearTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, implementation-specific data.

clearTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information needed by the RPC subsystem.

clearTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

Optional additional information about how to receive the tensor, e.g.

clearType() - Method in class onnx.Onnx.AttributeProto.Builder

The type field MUST be present for this version of the IR.

clearType() - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

clearType() - Method in class onnx.OnnxMl.AttributeProto.Builder

The type field MUST be present for this version of the IR.

clearType() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

clearType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

clearType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 type = 2;

clearType() - Method in class org.tensorflow.framework.AttrValue.Builder

"type"

clearType() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

clearType() - Method in class org.tensorflow.framework.InterconnectLink.Builder

string type = 2;

clearType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Describes the type of one or more tensors that are accepted/produced by this input/output arg.

clearType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).

clearType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Device type (CPU, GPU, ...)

clearTypeAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "type"

clearTypeHint() - Method in class org.tensorflow.framework.SummaryDescription.Builder

Hint on how plugins should process the data in this series.

clearTypeListAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.

clearTypeName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string type_name = 3;

clearTypeName() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Name of the type of objects being serialized.

clearTypeProtos() - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

clearTypeProtos() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

clearUint32Val() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT32

clearUint64Data() - Method in class onnx.Onnx.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

clearUint64Data() - Method in class onnx.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

clearUint64Data() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

clearUint64Val() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT64

clearUnknownRank() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

If true, the number of dimensions in the shape is unknown.

clearUpdateBinding() - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

clearUpdateBinding() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

clearUseExtendedProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture extended profiling events from TensorFlow process.

clearUseGpuProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture GPU profiling events locally on each machine.

clearUseKernelProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture kernel events from each worker.

clearUsePerSessionThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder

If true, use a new set of threads for this session rather than the global pool of threads.

clearUseRpcForInprocessMaster() - Method in class org.tensorflow.framework.RPCOptions.Builder

If true, always use RPC to contact the session target.

clearUseSampleProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, collect sampled profile events.

clearUseStepProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture step profile locally in each worker.

clearUseUnifiedMemory() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

If true, uses CUDA unified memory for memory allocations.

clearValue() - Method in class onnx.Onnx.StringStringEntryProto.Builder

string value = 2;

clearValue() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

clearValue() - Method in class onnx.Onnx.TypeProto.Builder

clearValue() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string value = 2;

clearValue() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

clearValue() - Method in class onnx.OnnxMl.TypeProto.Builder

clearValue() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string value = 2;

clearValue() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

clearValue() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

clearValue() - Method in class org.tensorflow.framework.AttrValue.Builder

clearValue() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

clearValue() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

repeated bytes value = 1;

clearValue() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

repeated float value = 1 [packed = true];

clearValue() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

repeated int64 value = 1 [packed = true];

clearValue() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

repeated string value = 1;

clearValue() - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

clearValue() - Method in class org.tensorflow.framework.Summary.Value.Builder

clearValueInfo() - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

clearValueInfo() - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

clearValues() - Method in class onnx.Onnx.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

clearValues() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

clearValues() - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names that have been seen in this context.

clearValuesDef() - Method in class org.tensorflow.framework.CondContextDef.Builder

Values and external values in control flow context.

clearValuesDef() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Values and external values in control flow context.

clearValuesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The shape of the values Tensor is [?].

clearValueType() - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

clearValueType() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

clearVariableName() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the variable tensor.

clearVariableResolutionType() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

.org.nd4j.ir.VariableResolutionType variableResolutionType = 6;

clearVariantVal() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

clearVarOffset() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Offset of this variable into the full variable.

clearVarShape() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of this variable.

clearVendor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Vendor (Intel, nvidia, ...)

clearVersion() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

The version of the operator set being identified.

clearVersion() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

The version of the operator set being identified.

clearVersion() - Method in class org.tensorflow.framework.GraphDef.Builder

Deprecated.

tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=24

clearVersion() - Method in class org.tensorflow.framework.OpDeprecation.Builder

First GraphDef version at which the op is disallowed.

clearVersion() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Versioning of the tensor bundle format.

clearVersion() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

A user-specified version string.

clearVersion() - Method in class org.tensorflow.util.SaverDef.Builder

.tensorflow.SaverDef.CheckpointFormatVersion version = 7;

clearVersionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

This is the version for all the ops that will be enqueued by the client.

clearVersionNumber() - Method in class org.tensorflow.framework.TensorProto.Builder

Version number.

clearVersions() - Method in class org.tensorflow.framework.GraphDef.Builder

Compatibility versions of the graph.

clearVirtualDevices() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

clearVisibility() - Method in class org.tensorflow.framework.ApiDef.Builder

.tensorflow.ApiDef.Visibility visibility = 2;

clearVisibleDeviceList() - Method in class org.tensorflow.framework.GPUOptions.Builder

A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

clearWhileCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.WhileContextDef while_ctxt = 2;

clearWidth() - Method in class org.tensorflow.framework.Summary.Image.Builder

int32 width = 2;

clearWorkFinished() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

int64 work_finished = 2;

clearWorkStarted() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

int64 work_started = 1;

CLIENT_LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest

CLIENT_LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest

clipByAvgNorm(String, SDVariable, double, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Clips tensor values to a maximum average L2-norm.

clipByAvgNorm(SDVariable, double, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Clips tensor values to a maximum average L2-norm.

clipByAvgNorm(INDArray, double, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Clips tensor values to a maximum average L2-norm.

ClipByAvgNorm - Class in org.nd4j.linalg.api.ops.impl.transforms.clip

ClipByAvgNorm(SameDiff, SDVariable, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByAvgNorm

ClipByAvgNorm(INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByAvgNorm

ClipByAvgNorm(INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByAvgNorm

clipByNorm(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a clipped ndarray such that the input is normalized so that its L2 norm
is <= the specified value.

clipByNorm(String, SDVariable, double, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Clipping by L2 norm, optionally along dimension(s)
if l2Norm(x,dimension) < clipValue, then input is returned unmodifed
Otherwise, out[i] = in[i] * clipValue / l2Norm(in, dimensions) where each value is clipped according
to the corresponding l2Norm along the specified dimensions

clipByNorm(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a clipped ndarray such that the input is normalized so that its L2 norm
is <= the specified value.

clipByNorm(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a clipped ndarray such that the input is normalized so that its L2 norm
is <= the specified value.

clipByNorm(SDVariable, double, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Clipping by L2 norm, optionally along dimension(s)
if l2Norm(x,dimension) < clipValue, then input is returned unmodifed
Otherwise, out[i] = in[i] * clipValue / l2Norm(in, dimensions) where each value is clipped according
to the corresponding l2Norm along the specified dimensions

clipByNorm(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a clipped ndarray such that the input is normalized so that its L2 norm
is <= the specified value.

clipByNorm(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns a clipped ndarray such that the input is normalized so that its L2 norm
is <= the specified value.

clipByNorm(INDArray, double, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Clipping by L2 norm, optionally along dimension(s)
if l2Norm(x,dimension) < clipValue, then input is returned unmodifed
Otherwise, out[i] = in[i] * clipValue / l2Norm(in, dimensions) where each value is clipped according
to the corresponding l2Norm along the specified dimensions

clipByNorm(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns a clipped ndarray such that the input is normalized so that its L2 norm
is <= the specified value.

ClipByNorm - Class in org.nd4j.linalg.api.ops.impl.transforms.clip

ClipByNorm() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

ClipByNorm(SameDiff, SDVariable, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

ClipByNorm(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

ClipByNorm(INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

ClipByNorm(INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

ClipByNorm(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

ClipByNormBp - Class in org.nd4j.linalg.api.ops.impl.transforms.clip

ClipByNormBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNormBp

ClipByNormBp(SameDiff, SDVariable, SDVariable, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNormBp

clipByValue(String, SDVariable, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return the clipped ndarray containing values no smaller or larger than the given min and max.

clipByValue(String, SDVariable, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise clipping function:
out[i] = in[i] if in[i] >= clipValueMin and in[i] <= clipValueMax
out[i] = clipValueMin if in[i] < clipValueMin
out[i] = clipValueMax if in[i] > clipValueMax

clipByValue(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return the clipped ndarray containing values no smaller or larger than the given min and max.

clipByValue(SDVariable, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return the clipped ndarray containing values no smaller or larger than the given min and max.

clipByValue(SDVariable, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise clipping function:
out[i] = in[i] if in[i] >= clipValueMin and in[i] <= clipValueMax
out[i] = clipValueMin if in[i] < clipValueMin
out[i] = clipValueMax if in[i] > clipValueMax

clipByValue(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return the clipped ndarray containing values no smaller or larger than the given min and max.

clipByValue(INDArray, double, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return the clipped ndarray containing values no smaller or larger than the given min and max.

clipByValue(INDArray, double, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise clipping function:
out[i] = in[i] if in[i] >= clipValueMin and in[i] <= clipValueMax
out[i] = clipValueMin if in[i] < clipValueMin
out[i] = clipValueMax if in[i] > clipValueMax

clipByValue(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return the clipped ndarray containing values no smaller or larger than the given min and max.

ClipByValue - Class in org.nd4j.linalg.api.ops.impl.transforms.clip

ClipByValue() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

ClipByValue(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

ClipByValue(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

ClipByValue(SameDiff, SDVariable, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

ClipByValue(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

ClipByValue(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

clone() - Method in class onnx.Onnx.AttributeProto.Builder

clone() - Method in class onnx.Onnx.FunctionProto.Builder

clone() - Method in class onnx.Onnx.GraphProto.Builder

clone() - Method in class onnx.Onnx.ModelProto.Builder

clone() - Method in class onnx.Onnx.NodeProto.Builder

clone() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

clone() - Method in class onnx.Onnx.SparseTensorProto.Builder

clone() - Method in class onnx.Onnx.StringStringEntryProto.Builder

clone() - Method in class onnx.Onnx.TensorAnnotation.Builder

clone() - Method in class onnx.Onnx.TensorProto.Builder

clone() - Method in class onnx.Onnx.TensorProto.Segment.Builder

clone() - Method in class onnx.Onnx.TensorShapeProto.Builder

clone() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

clone() - Method in class onnx.Onnx.TrainingInfoProto.Builder

clone() - Method in class onnx.Onnx.TypeProto.Builder

clone() - Method in class onnx.Onnx.TypeProto.Map.Builder

clone() - Method in class onnx.Onnx.TypeProto.Optional.Builder

clone() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

clone() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

clone() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

clone() - Method in class onnx.Onnx.ValueInfoProto.Builder

clone() - Method in class onnx.OnnxMl.AttributeProto.Builder

clone() - Method in class onnx.OnnxMl.FunctionProto.Builder

clone() - Method in class onnx.OnnxMl.GraphProto.Builder

clone() - Method in class onnx.OnnxMl.ModelProto.Builder

clone() - Method in class onnx.OnnxMl.NodeProto.Builder

clone() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

clone() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

clone() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

clone() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

clone() - Method in class onnx.OnnxMl.TensorProto.Builder

clone() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

clone() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

clone() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

clone() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

clone() - Method in class onnx.OnnxMl.TypeProto.Builder

clone() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

clone() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

clone() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

clone() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

clone() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

clone() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

clone() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

clone() - Method in class onnx.OnnxOperators.OperatorProto.Builder

clone() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

clone() - Method in class org.nd4j.autodiff.samediff.internal.FrameIter

clone() - Method in class org.nd4j.evaluation.classification.ROC.CountsForThreshold

clone() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

clone() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

clone() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

clone() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

clone() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

clone() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

clone() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

clone() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

clone() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

clone() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

clone() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

clone() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

clone() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

clone() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

clone() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

clone() - Method in class org.nd4j.linalg.compression.CompressionDescriptor

clone() - Method in class org.nd4j.linalg.learning.config.AdaBelief

clone() - Method in class org.nd4j.linalg.learning.config.AdaDelta

clone() - Method in class org.nd4j.linalg.learning.config.AdaGrad

clone() - Method in class org.nd4j.linalg.learning.config.Adam

clone() - Method in class org.nd4j.linalg.learning.config.AdaMax

clone() - Method in class org.nd4j.linalg.learning.config.AMSGrad

clone() - Method in interface org.nd4j.linalg.learning.config.IUpdater

Clone the updater

clone() - Method in class org.nd4j.linalg.learning.config.Nadam

clone() - Method in class org.nd4j.linalg.learning.config.Nesterovs

clone() - Method in class org.nd4j.linalg.learning.config.NoOp

clone() - Method in class org.nd4j.linalg.learning.config.RmsProp

clone() - Method in class org.nd4j.linalg.learning.config.Sgd

clone() - Method in class org.nd4j.linalg.learning.regularization.L1Regularization

clone() - Method in class org.nd4j.linalg.learning.regularization.L2Regularization

clone() - Method in interface org.nd4j.linalg.learning.regularization.Regularization

clone() - Method in class org.nd4j.linalg.learning.regularization.WeightDecay

clone() - Method in class org.nd4j.linalg.schedule.CycleSchedule

clone() - Method in class org.nd4j.linalg.schedule.ExponentialSchedule

clone() - Method in class org.nd4j.linalg.schedule.FixedSchedule

clone() - Method in class org.nd4j.linalg.schedule.InverseSchedule

clone() - Method in interface org.nd4j.linalg.schedule.ISchedule

clone() - Method in class org.nd4j.linalg.schedule.MapSchedule

clone() - Method in class org.nd4j.linalg.schedule.PolySchedule

clone() - Method in class org.nd4j.linalg.schedule.RampSchedule

clone() - Method in class org.nd4j.linalg.schedule.SigmoidSchedule

clone() - Method in class org.nd4j.linalg.schedule.StepSchedule

clone() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

clone() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

clone() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

clone() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

clone() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

clone() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

clone() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

clone() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

clone() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

clone() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

clone() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

clone() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

clone() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

clone() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

clone() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

clone() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

clone() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

clone() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

clone() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

clone() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

clone() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

clone() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

clone() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

clone() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

clone() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

clone() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

clone() - Method in class org.tensorflow.distruntime.JobDef.Builder

clone() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

clone() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

clone() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

clone() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

clone() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

clone() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

clone() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

clone() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

clone() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

clone() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

clone() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

clone() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

clone() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

clone() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

clone() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

clone() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

clone() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

clone() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

clone() - Method in class org.tensorflow.distruntime.ResetResponse.Builder

clone() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

clone() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

clone() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

clone() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

clone() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

clone() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

clone() - Method in class org.tensorflow.distruntime.ServerDef.Builder

clone() - Method in class org.tensorflow.distruntime.StepSequence.Builder

clone() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

clone() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

clone() - Method in class org.tensorflow.distruntime.TracingResponse.Builder

clone() - Method in class org.tensorflow.framework.AllocationDescription.Builder

clone() - Method in class org.tensorflow.framework.AllocationRecord.Builder

clone() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

clone() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

clone() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

clone() - Method in class org.tensorflow.framework.ApiDef.Builder

clone() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

clone() - Method in class org.tensorflow.framework.ApiDefs.Builder

clone() - Method in class org.tensorflow.framework.AssetFileDef.Builder

clone() - Method in class org.tensorflow.framework.AttrValue.Builder

clone() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

clone() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

clone() - Method in class org.tensorflow.framework.CallableOptions.Builder

clone() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

clone() - Method in class org.tensorflow.framework.CollectionDef.Builder

clone() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

clone() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

clone() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

clone() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

clone() - Method in class org.tensorflow.framework.CondContextDef.Builder

clone() - Method in class org.tensorflow.framework.ConfigProto.Builder

clone() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

clone() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

clone() - Method in class org.tensorflow.framework.CostGraphDef.Builder

clone() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

clone() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

clone() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

clone() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

clone() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

clone() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

clone() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

clone() - Method in class org.tensorflow.framework.DebugOptions.Builder

clone() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

clone() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

clone() - Method in class org.tensorflow.framework.DeviceLocality.Builder

clone() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

clone() - Method in class org.tensorflow.framework.FunctionDef.Builder

clone() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

clone() - Method in class org.tensorflow.framework.GPUOptions.Builder

clone() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

clone() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

clone() - Method in class org.tensorflow.framework.GradientDef.Builder

clone() - Method in class org.tensorflow.framework.GraphDef.Builder

clone() - Method in class org.tensorflow.framework.GraphOptions.Builder

clone() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

clone() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

clone() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

clone() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

clone() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

clone() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

clone() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

clone() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

clone() - Method in class org.tensorflow.framework.HistogramProto.Builder

clone() - Method in class org.tensorflow.framework.InterconnectLink.Builder

clone() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

clone() - Method in class org.tensorflow.framework.KernelDef.Builder

clone() - Method in class org.tensorflow.framework.LocalLinks.Builder

clone() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

clone() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

clone() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

clone() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

clone() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

clone() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

clone() - Method in class org.tensorflow.framework.MemoryStats.Builder

clone() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

clone() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

clone() - Method in class org.tensorflow.framework.NameAttrList.Builder

clone() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

clone() - Method in class org.tensorflow.framework.NodeDef.Builder

clone() - Method in class org.tensorflow.framework.NodeExecStats.Builder

clone() - Method in class org.tensorflow.framework.NodeOutput.Builder

clone() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

clone() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

clone() - Method in class org.tensorflow.framework.OpDef.Builder

clone() - Method in class org.tensorflow.framework.OpDeprecation.Builder

clone() - Method in class org.tensorflow.framework.OpList.Builder

clone() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

clone() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

clone() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

clone() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

clone() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

clone() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

clone() - Method in class org.tensorflow.framework.RewriterConfig.Builder

clone() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

clone() - Method in class org.tensorflow.framework.RPCOptions.Builder

clone() - Method in class org.tensorflow.framework.RunMetadata.Builder

clone() - Method in class org.tensorflow.framework.RunOptions.Builder

clone() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

clone() - Method in class org.tensorflow.framework.SavedModel.Builder

clone() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

clone() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

clone() - Method in class org.tensorflow.framework.SignatureDef.Builder

clone() - Method in class org.tensorflow.framework.StepStats.Builder

clone() - Method in class org.tensorflow.framework.Summary.Audio.Builder

clone() - Method in class org.tensorflow.framework.Summary.Builder

clone() - Method in class org.tensorflow.framework.Summary.Image.Builder

clone() - Method in class org.tensorflow.framework.Summary.Value.Builder

clone() - Method in class org.tensorflow.framework.SummaryDescription.Builder

clone() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

clone() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

clone() - Method in class org.tensorflow.framework.TensorConnection.Builder

clone() - Method in class org.tensorflow.framework.TensorDescription.Builder

clone() - Method in class org.tensorflow.framework.TensorInfo.Builder

clone() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

clone() - Method in class org.tensorflow.framework.TensorProto.Builder

clone() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

clone() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

clone() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

clone() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

clone() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

clone() - Method in class org.tensorflow.framework.ValuesDef.Builder

clone() - Method in class org.tensorflow.framework.VariableDef.Builder

clone() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

clone() - Method in class org.tensorflow.framework.VersionDef.Builder

clone() - Method in class org.tensorflow.framework.WhileContextDef.Builder

clone() - Method in class org.tensorflow.util.BundleEntryProto.Builder

clone() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

clone() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

clone() - Method in class org.tensorflow.util.SaverDef.Builder

clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

clone() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

clone() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

clone() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

clone() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

clone() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

clone(String, SameDiff) - Method in class org.nd4j.autodiff.samediff.SDVariable

clone(SameDiff) - Method in class org.nd4j.autodiff.samediff.SDVariable

cloneViaSerialize(SameDiff, DifferentialFunction) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

cloneViaSerialize(SameDiff, DifferentialFunction, Map<String, Integer>) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

close() - Method in class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr

close() - Method in class org.nd4j.autodiff.samediff.internal.memory.NoOpMemoryMgr

close() - Method in interface org.nd4j.autodiff.samediff.internal.SessionMemMgr

Close the session memory manager and clean up any memory / resources, if any

close() - Method in class org.nd4j.autodiff.samediff.NameScope

close() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

close() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

This method releases exclusive off-heap resources uses by this DataBuffer instance.

close() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

close() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

close() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method is for compatibility with "try-with-resources" java blocks.

close() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

close() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method releases exclusive off-heap resources uses by this INDArray instance.

close() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

close() - Method in class org.nd4j.linalg.workspace.WorkspacesCloseable

CLOSE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.QueueRunnerDef

closeable - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

closeable() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

closeable() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

This method checks, if this DataBuffer instalce can use close() method

closeable() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

closeable() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks, if this INDArray instalce can use close() method

CloseSessionRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CloseSessionRequest

CloseSessionRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CloseSessionRequest

CloseSessionRequestOrBuilder - Interface in org.tensorflow.distruntime

CloseSessionResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CloseSessionResponse

CloseSessionResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CloseSessionResponse

CloseSessionResponseOrBuilder - Interface in org.tensorflow.distruntime

CLUSTER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

CLUSTER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ServerDef

ClusterDef - Class in org.tensorflow.distruntime

Defines a TensorFlow cluster as a set of jobs.

ClusterDef.Builder - Class in org.tensorflow.distruntime

Defines a TensorFlow cluster as a set of jobs.

ClusterDefOrBuilder - Interface in org.tensorflow.distruntime

ClusterProtos - Class in org.tensorflow.distruntime

cnn - Variable in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for convolutional neural network operations

cnn - Static variable in class org.nd4j.linalg.factory.Nd4j

Convolutional network namespace - operations related to convolutional neural networks

cnn() - Method in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for convolutional neural network operations

cnn() - Static method in class org.nd4j.linalg.factory.Nd4j

Convolutional network namespace - operations related to convolutional neural networks

Code - Enum in org.tensorflow.framework

The canonical error codes for TensorFlow APIs.

codecs - Variable in class org.nd4j.linalg.compression.BasicNDArrayCompressor

coeff - Variable in class org.nd4j.linalg.learning.regularization.WeightDecay

col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.Convolution

col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution

col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution

Rearrange matrix columns into blocks

col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution

Rearrange matrix columns into blocks

col2im(INDArray, INDArray, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution

col2Im(String, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

col2im operation for use in 2D convolution operations.

col2Im(SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

col2im operation for use in 2D convolution operations.

col2Im(INDArray, Conv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

col2im operation for use in 2D convolution operations.

Col2Im - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Col2Im() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

Col2Im(SameDiff, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

Col2Im(INDArray, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

Col2Im(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

collect(INDArray...) - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse PLEASE NOTE: Cache options depend on specific implementations

collect(INDArray...) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse PLEASE NOTE: Cache options depend on specific implementations

COLLECTION_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef

CollectionDef - Class in org.tensorflow.framework

CollectionDef should cover most collections.

CollectionDef.AnyList - Class in org.tensorflow.framework

AnyList is used for collecting Any protos.

CollectionDef.AnyList.Builder - Class in org.tensorflow.framework

AnyList is used for collecting Any protos.

CollectionDef.AnyListOrBuilder - Interface in org.tensorflow.framework

CollectionDef.Builder - Class in org.tensorflow.framework

CollectionDef should cover most collections.

CollectionDef.BytesList - Class in org.tensorflow.framework

BytesList is used for collecting strings and serialized protobufs.

CollectionDef.BytesList.Builder - Class in org.tensorflow.framework

BytesList is used for collecting strings and serialized protobufs.

CollectionDef.BytesListOrBuilder - Interface in org.tensorflow.framework

CollectionDef.FloatList - Class in org.tensorflow.framework

FloatList is used for collecting float values.

CollectionDef.FloatList.Builder - Class in org.tensorflow.framework

FloatList is used for collecting float values.

CollectionDef.FloatListOrBuilder - Interface in org.tensorflow.framework

CollectionDef.Int64List - Class in org.tensorflow.framework

Int64List is used for collecting int, int64 and long values.

CollectionDef.Int64List.Builder - Class in org.tensorflow.framework

Int64List is used for collecting int, int64 and long values.

CollectionDef.Int64ListOrBuilder - Interface in org.tensorflow.framework

CollectionDef.KindCase - Enum in org.tensorflow.framework

CollectionDef.NodeList - Class in org.tensorflow.framework

NodeList is used for collecting nodes in graph.

CollectionDef.NodeList.Builder - Class in org.tensorflow.framework

NodeList is used for collecting nodes in graph.

CollectionDef.NodeListOrBuilder - Interface in org.tensorflow.framework

CollectionDefOrBuilder - Interface in org.tensorflow.framework

COLLECTIVE_GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest

COLLECTIVE_GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunOptions.Experimental

COLLECTIVE_GROUP_LEADER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto.Experimental

collectTensorflowImportCoverage(SameDiff) - Static method in class org.nd4j.autodiff.validation.OpValidation

ColorName - Enum in org.nd4j.autodiff.listeners.profiler.data

COLORSPACE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Image

columns() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

columns() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the number of columns in this matrix (throws exception if not 2d)

commit() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

commit() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method ensures all operations that supposed to be executed at this moment, are executed and finished.

comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Not

comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

ComparableAtomicLong - Class in org.nd4j.linalg.profiler.data.primitives

ComparableAtomicLong() - Constructor for class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong

ComparableAtomicLong(long) - Constructor for class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong

compare - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

compare - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

compare(File, File, double) - Static method in class org.nd4j.autodiff.listeners.debugging.ArraySavingListener

compare(StackNode, StackNode) - Method in class org.nd4j.linalg.profiler.data.primitives.StackComparator

CompareAndBitpack - Class in org.nd4j.linalg.api.ops.custom

CompareAndBitpack() - Constructor for class org.nd4j.linalg.api.ops.custom.CompareAndBitpack

CompareAndBitpack(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.CompareAndBitpack

CompareAndBitpack(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.custom.CompareAndBitpack

CompareAndBitpack(INDArray, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.CompareAndBitpack

CompareAndReplace - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison

CompareAndReplace() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

CompareAndReplace(SameDiff, SDVariable, SDVariable, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

CompareAndReplace(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise Pseudocode: z[i] = condition(x[i]) ? y[i] : x[i];

CompareAndReplace(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise PLEASE NOTE: X will be modified inplace.

CompareAndSet - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison

CompareAndSet() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(SameDiff, SDVariable, Number, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, double, double, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value Pseudocode: z[i] = condition(x[i]) ? set : x[i]; PLEASE NOTE: X will be modified inplace.

CompareAndSet(INDArray, INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

This constructor is shortcut to epsEquals.

CompareAndSet(INDArray, INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value Pseudocode: z[i] = condition(x[i]) ? set : x[i];

CompareAndSet(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise Pseudocode: z[i] = condition(y[i]) ? y[i] : x[i];

CompareAndSet(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise PLEASE NOTE: X will be modified inplace.

compareProfiles(File, File, ProfileAnalyzer.ProfileFormat, ProfileAnalyzer.ProfileFormat) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

Compare the specified profile files, sorted by profile 1 % of total time

compareProfiles(File, File, ProfileAnalyzer.ProfileFormat, ProfileAnalyzer.ProfileFormat, boolean, boolean, String, String, ProfileAnalyzer.SortBy) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

Compare the specified profile files or directory

compareProfiles(Config) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

compareTo(ComparableAtomicLong) - Method in class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong

compareTo(StackNode) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode

compareTo(TimeSet) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet

ComparisonResult() - Constructor for class org.nd4j.linalg.util.ND4JTestUtils.ComparisonResult

CompatSparseToDense - Class in org.nd4j.linalg.api.ops.compat

CompatSparseToDense() - Constructor for class org.nd4j.linalg.api.ops.compat.CompatSparseToDense

CompatSparseToDense(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.compat.CompatSparseToDense

CompatSparseToDense(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.compat.CompatSparseToDense

CompatSparseToDense(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.compat.CompatSparseToDense

CompatSparseToDense(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.compat.CompatSparseToDense

CompatStringSplit - Class in org.nd4j.linalg.api.ops.compat

CompatStringSplit() - Constructor for class org.nd4j.linalg.api.ops.compat.CompatStringSplit

CompatStringSplit(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.compat.CompatStringSplit

CompatStringSplit(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.compat.CompatStringSplit

CompleteGroupRequest - Class in org.tensorflow.distruntime

Supplies one or more device names as members of the group identified by group_key.

CompleteGroupRequest.Builder - Class in org.tensorflow.distruntime

Supplies one or more device names as members of the group identified by group_key.

CompleteGroupRequestOrBuilder - Interface in org.tensorflow.distruntime

CompleteGroupResponse - Class in org.tensorflow.distruntime

Gives the complete membership of the group identified by group_key.

CompleteGroupResponse.Builder - Class in org.tensorflow.distruntime

Gives the complete membership of the group identified by group_key.

CompleteGroupResponseOrBuilder - Interface in org.tensorflow.distruntime

CompleteInstanceRequest - Class in org.tensorflow.distruntime

Supplies data about one collective op belonging to the instance identified by instance_key.

CompleteInstanceRequest.Builder - Class in org.tensorflow.distruntime

Supplies data about one collective op belonging to the instance identified by instance_key.

CompleteInstanceRequestOrBuilder - Interface in org.tensorflow.distruntime

CompleteInstanceResponse - Class in org.tensorflow.distruntime

Confirms that every op in the instance has consistently declared itself.

CompleteInstanceResponse.Builder - Class in org.tensorflow.distruntime

Confirms that every op in the instance has consistently declared itself.

CompleteInstanceResponseOrBuilder - Interface in org.tensorflow.distruntime

COMPLEX128 - onnx.Onnx.TensorProto.DataType

complex with float64 real and imaginary components

COMPLEX128 - onnx.OnnxMl.TensorProto.DataType

complex with float64 real and imaginary components

COMPLEX128 - org.nd4j.ir.TensorNamespace.DataType

complex with float64 real and imaginary components

COMPLEX128_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

complex with float64 real and imaginary components

COMPLEX128_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

complex with float64 real and imaginary components

COMPLEX128_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

complex with float64 real and imaginary components

COMPLEX64 - onnx.Onnx.TensorProto.DataType

complex with float32 real and imaginary components

COMPLEX64 - onnx.OnnxMl.TensorProto.DataType

complex with float32 real and imaginary components

COMPLEX64 - org.nd4j.ir.TensorNamespace.DataType

complex with float32 real and imaginary components

COMPLEX64_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

complex with float32 real and imaginary components

COMPLEX64_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

complex with float32 real and imaginary components

COMPLEX64_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

complex with float32 real and imaginary components

CompositeDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor

CompositeDataSetPreProcessor(boolean, DataSetPreProcessor...) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.CompositeDataSetPreProcessor

CompositeDataSetPreProcessor(DataSetPreProcessor...) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.CompositeDataSetPreProcessor

CompositeMultiDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor

CompositeMultiDataSetPreProcessor(MultiDataSetPreProcessor...) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.CompositeMultiDataSetPreProcessor

compress(double[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

This method returns compressed INDArray instance which contains JVM array passed in

compress(double[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines Please note: This method compresses input data as vector

compress(double[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines

compress(float[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

This method returns compressed INDArray instance which contains JVM array passed in

compress(float[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines Please note: This method compresses input data as vector

compress(float[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines

compress(DataBuffer) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Compress the given data buffer given the default compression algorithm

compress(DataBuffer) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

compress(DataBuffer, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Compress the data buffer given a specified algorithm

compress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

compress(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method returns compressed copy of referenced array

compress(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Returns a compressed version of the given ndarray

compressDebug - Static variable in class org.nd4j.linalg.factory.Nd4j

compressed - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

COMPRESSED - org.nd4j.linalg.api.buffer.DataType

COMPRESSED - org.nd4j.linalg.api.shape.options.ArrayType

CompressedDataBuffer - Class in org.nd4j.linalg.compression

CompressedDataBuffer(Pointer, CompressionDescriptor) - Constructor for class org.nd4j.linalg.compression.CompressedDataBuffer

compressi(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

In place compression of the passed in ndarray with the default compression algorithm

compressi(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

Inplace compression of INDArray

compressi(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

In place Compress the given ndarray with the given algorithm

COMPRESSION_BYTE_BUFFER_LENGTH - Static variable in class org.nd4j.linalg.compression.CompressionDescriptor

CompressionAlgorithm - Enum in org.nd4j.linalg.compression

compressionDescriptor - Variable in class org.nd4j.linalg.compression.CompressedDataBuffer

CompressionDescriptor - Class in org.nd4j.linalg.compression

CompressionDescriptor() - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor

CompressionDescriptor(DataBuffer) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor

Create a compression descriptor from the given data buffer elements

CompressionDescriptor(DataBuffer, String) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor

Initialize a compression descriptor based on the given algorithm and data buffer

CompressionDescriptor(DataBuffer, NDArrayCompressor) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor

Initialize a compression descriptor based on the given data buffer (for the sizes) and the compressor to get the opType

CompressionType - Enum in org.nd4j.linalg.compression

CompressionUtils - Class in org.nd4j.linalg.compression

CompressionUtils() - Constructor for class org.nd4j.linalg.compression.CompressionUtils

ComputationalGraph - org.nd4j.linalg.heartbeat.reports.Task.NetworkType

COMPUTE_COST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

COMPUTE_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

computeArrays() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

computeArrays() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

computeArrays() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

computeArrays() - Method in class org.nd4j.linalg.api.ops.NoOp

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction

Compute the gradient of the loss function with respect to the inputs: dL/dOutput

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

This method returns the gradient of the cost function with respect to the output from the previous layer.

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSparseMCXENT

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein

computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.SameDiffLoss

Compute the gradient of the loss function with respect to the inputs: dL/dOutput

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction

Compute both the score (loss function value) and gradient.

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSparseMCXENT

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein

computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.SameDiffLoss

Compute both the score (loss function value) and gradient.

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction

Compute the score (loss function value) for the given inputs.

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

Computes the aggregate score as a sum of all of the individual scores of each of the labels against each of the outputs of the network.

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSparseMCXENT

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein

computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.SameDiffLoss

Compute the score (loss function value) for the given inputs.

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction

Compute the score (loss function value) for each example individually.

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

This method returns the score for each of the given outputs against the given set of labels.

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSparseMCXENT

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein

computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.SameDiffLoss

Compute the score (loss function value) for each example individually.

computeVariables(SDVariable[]) - Method in class org.nd4j.linalg.api.ops.BaseOp

Compute the output vars using this op and store them in the samediff instance.

concat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

Concatenate ndarrays along a dimension

concat(int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Concatenate a set of inputs along the specified dimension.
Note that inputs must have identical rank and identical dimensions, other than the dimension to stack on.
For example, if 2 inputs have shape [a, x, c] and [a, y, c] and dimension = 1, then the output has shape [a, x+y, c]
Inputs must satisfy the following constraints:
Input arrays must all be the same datatype: isSameType(inputs)

concat(int, INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

concatenate ndarrays along a dimension

concat(int, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Concatneate ndarrays along a dimension

concat(int, INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Concatenate a set of inputs along the specified dimension.
Note that inputs must have identical rank and identical dimensions, other than the dimension to stack on.
For example, if 2 inputs have shape [a, x, c] and [a, y, c] and dimension = 1, then the output has shape [a, x+y, c]
Inputs must satisfy the following constraints:
Input arrays must all be the same datatype: isSameType(inputs)

concat(String, int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Concatenate a set of inputs along the specified dimension.
Note that inputs must have identical rank and identical dimensions, other than the dimension to stack on.
For example, if 2 inputs have shape [a, x, c] and [a, y, c] and dimension = 1, then the output has shape [a, x+y, c]
Inputs must satisfy the following constraints:
Input arrays must all be the same datatype: isSameType(inputs)

concat(SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Concat - Class in org.nd4j.linalg.api.ops.impl.shape

Concat() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Concat

Concat(int, INDArray...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Concat

Concat(SameDiff, int, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Concat

Concat(SameDiff, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Concat

Concat(INDArray[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Concat

ConcatBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp

ConcatBp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp

ConcatBp(SameDiff, int, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp

ConcatBp(SameDiff, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp

cond(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

cond(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a binary INDArray with value 'true' if the element matches the specified condition and 'false' otherwise

COND_CTXT - org.tensorflow.framework.ControlFlowContextDef.CtxtCase

COND_CTXT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ControlFlowContextDef

condBody() - Static method in class org.nd4j.autodiff.samediff.ControlFlow

Returns a lambda that takes in a custom condition and a built-in for loop counter concept in the following manner: int currIteration = 0; boolean cond = ...; int maxIterations = ...; for(int i = currIteration; i < maxIterations && cond; i++) { //body....

CondContextDef - Class in org.tensorflow.framework

Protocol buffer representing a CondContext object.

CondContextDef.Builder - Class in org.tensorflow.framework

Protocol buffer representing a CondContext object.

CondContextDefOrBuilder - Interface in org.tensorflow.framework

condition - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

condition - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

Condition - Interface in org.nd4j.linalg.indexing.conditions

Sets a condition in correspondence with the MatchConditionalBool op (op num 5 in the legacy operations) Condition number is affected by the ops internals, see here for the comprehensive overview: https://github.com/eclipse/deeplearning4j/blob/master/libnd4j/include/ops/ops.h#L2253 As of this writing (July 27,2021), the following operations are relevant: 0: equals 1: not equals 2: less than 3: greater than 4: less than or equal 5: greater than or equal 6: absolute difference less than 7: absolute difference greater than 8: is infinite 9: is nan 10: absolute equals 11: not equals 12: absolute difference greater or equal to 13: absolute difference less than or equal to 14: is finite

CONDITIONAL - org.nd4j.linalg.api.ops.Op.Type

CONDITIONAL - Static variable in class org.nd4j.graph.OpClass

ConditionalFieldValueIntIndexArrayAdapter - Class in org.nd4j.imports.descriptors.properties.adapters

ConditionalFieldValueIntIndexArrayAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueIntIndexArrayAdapter

ConditionalFieldValueNDArrayShapeAdapter - Class in org.nd4j.imports.descriptors.properties.adapters

ConditionalFieldValueNDArrayShapeAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueNDArrayShapeAdapter

ConditionBuilder - Class in org.nd4j.linalg.indexing.conditions

ConditionBuilder() - Constructor for class org.nd4j.linalg.indexing.conditions.ConditionBuilder

ConditionEquals - Class in org.nd4j.linalg.indexing.conditions

ConditionEquals(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.ConditionEquals

Conditions - Class in org.nd4j.linalg.indexing.conditions

Conditions.ConditionMode - Enum in org.nd4j.linalg.indexing.conditions

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.AbsoluteEquals

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.And

Returns condition ID for native side

conditionType() - Method in interface org.nd4j.linalg.indexing.conditions.Condition

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition

Returns condition ID for native side Condition number is affected by: https://github.com/eclipse/deeplearning4j/blob/0ba0f933a95d2dceeff3651bc540d03b5f3b1631/libnd4j/include/ops/ops.h#L2253

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.IsFinite

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.IsNaN

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.LessThan

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.Not

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.NotFinite

Returns condition ID for native side

conditionType() - Method in class org.nd4j.linalg.indexing.conditions.Or

Returns condition ID for native side

config - Variable in class org.nd4j.autodiff.samediff.internal.TrainingSession

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

Config - Class in org.nd4j.autodiff.listeners.profiler.comparison

Config() - Constructor for class org.nd4j.autodiff.listeners.profiler.comparison.Config

CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateSessionRequest

configFieldName() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Returns the name of the field to be used for looking up field names.

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

configMap - Variable in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

ConfigProto - Class in org.tensorflow.framework

Session configuration parameters.

ConfigProto.Builder - Class in org.tensorflow.framework

Session configuration parameters.

ConfigProto.Experimental - Class in org.tensorflow.framework

Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

ConfigProto.Experimental.Builder - Class in org.tensorflow.framework

Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

ConfigProto.ExperimentalOrBuilder - Interface in org.tensorflow.framework

ConfigProtoOrBuilder - Interface in org.tensorflow.framework

ConfigProtos - Class in org.tensorflow.framework

CONFIGURABLE_OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

CONFIGURABLE_OP_IMPL = 7;

CONFIGURABLE_OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

CONFIGURABLE_OP_IMPL = 7;

configuration() - Method in class org.nd4j.graph.FlatGraph

configuration() - Method in class org.nd4j.graph.FlatInferenceRequest

configuration(FlatConfiguration) - Method in class org.nd4j.graph.FlatGraph

configuration(FlatConfiguration) - Method in class org.nd4j.graph.FlatInferenceRequest

configure(Object...) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method allows to pass compressor-dependent configuration options to this compressor PLEASE NOTE: Each compressor has own options, please check corresponding implementations javadoc

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.custom.Invoke

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.custom.Triu

configureFromArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

This allows a custom op to configure relevant fields from its arguments.

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.scalar.PRelu

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpaceND

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

configureFromArguments() - Method in class org.nd4j.linalg.api.ops.random.impl.Range

configureWithSameDiff(SameDiff) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

configureWithSameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

configureWithSameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.custom.Invoke

configureWithSameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

configureWithSameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

configureWithSameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

configureWithSameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

configureWithSameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

configureWithSameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

confusion - Variable in class org.nd4j.evaluation.classification.Evaluation

Confusion() - Constructor for class org.nd4j.evaluation.curves.PrecisionRecallCurve.Confusion

CONFUSION_PRINT_MAX_CLASSES - Static variable in class org.nd4j.evaluation.classification.Evaluation

confusionMatrix() - Method in class org.nd4j.evaluation.classification.Evaluation

Get the confusion matrix as a String

confusionMatrix(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
For example, if labels = [0, 1, 1], predicted = [0, 2, 1], and numClasses=4 then output is:
[1, 0, 0, 0]
[0, 1, 1, 0]
[0, 0, 0, 0]
[0, 0, 0, 0]

confusionMatrix(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.

confusionMatrix(String, SDVariable, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
For example, if labels = [0, 1, 1], predicted = [0, 2, 1], numClasses = 4, and weights = [1, 2, 3]
[1, 0, 0, 0]
[0, 3, 2, 0]
[0, 0, 0, 0]
[0, 0, 0, 0]

confusionMatrix(String, SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.

confusionMatrix(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
For example, if labels = [0, 1, 1], predicted = [0, 2, 1], and numClasses=4 then output is:
[1, 0, 0, 0]
[0, 1, 1, 0]
[0, 0, 0, 0]
[0, 0, 0, 0]

confusionMatrix(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.

confusionMatrix(SDVariable, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
For example, if labels = [0, 1, 1], predicted = [0, 2, 1], numClasses = 4, and weights = [1, 2, 3]
[1, 0, 0, 0]
[0, 3, 2, 0]
[0, 0, 0, 0]
[0, 0, 0, 0]

confusionMatrix(SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.

confusionMatrix(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
For example, if labels = [0, 1, 1], predicted = [0, 2, 1], and numClasses=4 then output is:
[1, 0, 0, 0]
[0, 1, 1, 0]
[0, 0, 0, 0]
[0, 0, 0, 0]

confusionMatrix(INDArray, INDArray, DataType) - Method in class org.nd4j.linalg.factory.ops.NDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.

confusionMatrix(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.

confusionMatrix(INDArray, INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDMath

Compute the 2d confusion matrix of size [numClasses, numClasses] from a pair of labels and predictions, both of
which are represented as integer values.
For example, if labels = [0, 1, 1], predicted = [0, 2, 1], numClasses = 4, and weights = [1, 2, 3]
[1, 0, 0, 0]
[0, 3, 2, 0]
[0, 0, 0, 0]
[0, 0, 0, 0]

ConfusionMatrix<T extends Comparable<? super T>> - Class in org.nd4j.evaluation.classification

ConfusionMatrix - Class in org.nd4j.linalg.api.ops.impl.shape

ConfusionMatrix() - Constructor for class org.nd4j.evaluation.classification.ConfusionMatrix

ConfusionMatrix() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(INDArray, INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(INDArray, INDArray, Integer, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(INDArray, INDArray, INDArray, Integer) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(INDArray, INDArray, INDArray, Integer, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(List<T>) - Constructor for class org.nd4j.evaluation.classification.ConfusionMatrix

Creates an empty confusion Matrix

ConfusionMatrix(SameDiff, SDVariable, SDVariable, Integer) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(SameDiff, SDVariable, SDVariable, Integer, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(SameDiff, SDVariable, SDVariable, SDVariable, Integer) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(SameDiff, SDVariable, SDVariable, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(SameDiff, SDVariable, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

ConfusionMatrix(ConfusionMatrix<T>) - Constructor for class org.nd4j.evaluation.classification.ConfusionMatrix

Creates a new ConfusionMatrix initialized with the contents of another ConfusionMatrix.

ConfusionMatrixDeserializer - Class in org.nd4j.evaluation.serde

ConfusionMatrixDeserializer() - Constructor for class org.nd4j.evaluation.serde.ConfusionMatrixDeserializer

confusionMatrixMetaData - Variable in class org.nd4j.evaluation.classification.Evaluation

ConfusionMatrixSerializer - Class in org.nd4j.evaluation.serde

ConfusionMatrixSerializer() - Constructor for class org.nd4j.evaluation.serde.ConfusionMatrixSerializer

confusionToString() - Method in class org.nd4j.evaluation.classification.Evaluation

Get a String representation of the confusion matrix

CONST_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo

constant - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

constant(boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new long scalar constant (rank 0) with the specified value

constant(double) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new double scalar constant (rank 0) with the specified value.
Constants are not modified by training/backprop.

constant(float) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new float scalar constant (rank 0) with the specified value
Constants are not modified by training/backprop.

constant(int) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new integer scalar constant (rank 0) with the specified value

constant(long) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new long scalar constant (rank 0) with the specified value

constant(INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create an SDVariable with a fixed/constant value, with a generated name
Constants are not modified by training/backprop.

constant(String, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new long scalar constant (rank 0) with the specified value

constant(String, double) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new double scalar constant (rank 0) with the specified value

constant(String, float) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new float scalar constant (rank 0) with the specified value

constant(String, int) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new integer scalar constant (rank 0) with the specified value

constant(String, long) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new long scalar constant (rank 0) with the specified value

constant(String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create an SDVariable with a fixed/constant value
Constants are not modified by training/backprop.

constant(String, DataType, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new scalar constant (rank 0) with the specified value and datatype

CONSTANT - org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

CONSTANT - org.nd4j.autodiff.samediff.VariableType

CONSTANT - org.nd4j.enums.Mode

CONSTANT - org.nd4j.enums.PadMode

CONSTANT - org.nd4j.linalg.api.concurrency.ArrayType

This means DistributedINDArray will be equal on all ends, and will never be modified after replication/instantiation

CONSTANT - org.nd4j.linalg.api.memory.enums.AllocationKind

Allocations that will be never released, and reused during session

CONSTANT - org.nd4j.linalg.api.ops.impl.transforms.Pad.Mode

CONSTANT - Static variable in class org.nd4j.graph.VarType

CONSTANT_FN_FOLDING_MAX_SIZE - Static variable in class org.nd4j.autodiff.samediff.optimize.optimizations.ConstantFunctionOptimizations

CONSTANT_FN_FOLDING_MAX_SIZE_DEFAULT - Static variable in class org.nd4j.autodiff.samediff.optimize.optimizations.ConstantFunctionOptimizations

CONSTANT_FOLDING_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

ConstantDep() - Constructor for class org.nd4j.autodiff.samediff.internal.InferenceSession.ConstantDep

ConstantDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl

ConstantDistribution(double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

ConstantFunctionOptimizations - Class in org.nd4j.autodiff.samediff.optimize.optimizations

This set of optimizations looks for functions that are applied to constants, and "pre executes" them, so they don't have to be calculated (returning the same value) on each run.

ConstantFunctionOptimizations() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.ConstantFunctionOptimizations

ConstantFunctionOptimizations.FoldConstantFunctions - Class in org.nd4j.autodiff.samediff.optimize.optimizations

ConstantHandler - Interface in org.nd4j.linalg.cache

ConstantInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to zero.

ConstantInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.ConstantInitScheme

constants() - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns the constants in this graph

constantValue() - Method in class org.nd4j.graph.UIVariable

constantValue(FlatArray) - Method in class org.nd4j.graph.UIVariable

constName - Variable in class org.nd4j.autodiff.samediff.internal.InferenceSession.ConstantDep

CONSTRAINT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef

consume(StackDescriptor, int) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode

consume(StackDescriptor, int, long) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode

consumeStackTrace(StackDescriptor) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree

consumeStackTrace(StackDescriptor, long) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree

container - Variable in class org.nd4j.list.BaseNDArrayList

CONTAINER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CleanupAllRequest

CONTAINER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ResetRequest

CONTAINER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto

contains(Object) - Method in class org.nd4j.list.BaseNDArrayList

contains(Object) - Method in class org.nd4j.list.NDArrayList

contains(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache

contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache

contains(String, String, int, FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

containsAll(Collection<?>) - Method in class org.nd4j.list.BaseNDArrayList

containsAll(Collection<?>) - Method in class org.nd4j.list.NDArrayList

containsAny(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

containsAny(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

containsAny(K) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

containsAny(T) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

containsAnyForGroup(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

containsAnyForGroup(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

containsAnyForGroup(K) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

containsAnyForGroup(T) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

containsAttr(String) - Method in class org.tensorflow.framework.FunctionDef.Builder

Attributes specific to this function definition.

containsAttr(String) - Method in class org.tensorflow.framework.FunctionDef

Attributes specific to this function definition.

containsAttr(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

Attributes specific to this function definition.

containsAttr(String) - Method in class org.tensorflow.framework.NameAttrList.Builder

map<string, .tensorflow.AttrValue> attr = 2;

containsAttr(String) - Method in class org.tensorflow.framework.NameAttrList

map<string, .tensorflow.AttrValue> attr = 2;

containsAttr(String) - Method in interface org.tensorflow.framework.NameAttrListOrBuilder

map<string, .tensorflow.AttrValue> attr = 2;

containsAttr(String) - Method in class org.tensorflow.framework.NodeDef.Builder

Operation-specific graph-construction-time configuration.

containsAttr(String) - Method in class org.tensorflow.framework.NodeDef

Operation-specific graph-construction-time configuration.

containsAttr(String) - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Operation-specific graph-construction-time configuration.

containsAttrs(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

map<string, .tensorflow.AttrValue> attrs = 5;

containsAttrs(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

map<string, .tensorflow.AttrValue> attrs = 5;

containsAttrs(String) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

map<string, .tensorflow.AttrValue> attrs = 5;

containsCollectionDef(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

collection_def: Map from collection name to collections.

containsCollectionDef(String) - Method in class org.tensorflow.framework.MetaGraphDef

collection_def: Map from collection name to collections.

containsCollectionDef(String) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

collection_def: Map from collection name to collections.

containsDeviceCount(String) - Method in class org.tensorflow.framework.ConfigProto.Builder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

containsDeviceCount(String) - Method in class org.tensorflow.framework.ConfigProto

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

containsDeviceCount(String) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

containsEnvironment(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Version of the tools and libraries used with this device (e.g.

containsEnvironment(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Version of the tools and libraries used with this device (e.g.

containsEnvironment(String) - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Version of the tools and libraries used with this device (e.g.

containsExternalValues(String) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names referenced by but external to this context.

containsExternalValues(String) - Method in class org.tensorflow.framework.ValuesDef

Value names referenced by but external to this context.

containsExternalValues(String) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Value names referenced by but external to this context.

containsIndexOverrides(long) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

map<int64, int64> indexOverrides = 5;

containsIndexOverrides(long) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

map<int64, int64> indexOverrides = 5;

containsIndexOverrides(long) - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

map<int64, int64> indexOverrides = 5;

containsInputs(String) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named input parameters.

containsInputs(String) - Method in class org.tensorflow.framework.SignatureDef

Named input parameters.

containsInputs(String) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named input parameters.

containsInputToOutput(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

map<string, string> inputToOutput = 17;

containsInputToOutput(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

map<string, string> inputToOutput = 17;

containsInputToOutput(String) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

map<string, string> inputToOutput = 17;

containsKey(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage

This method checks, if storage contains specified key

containsOutputs(String) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named output parameters.

containsOutputs(String) - Method in class org.tensorflow.framework.SignatureDef

Named output parameters.

containsOutputs(String) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named output parameters.

containsParameterMap(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

map<string, .tensorflow.AttrValue> parameter_map = 2;

containsParameterMap(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

map<string, .tensorflow.AttrValue> parameter_map = 2;

containsParameterMap(String) - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder

map<string, .tensorflow.AttrValue> parameter_map = 2;

containsRet(String) - Method in class org.tensorflow.framework.FunctionDef.Builder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

containsRet(String) - Method in class org.tensorflow.framework.FunctionDef

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

containsRet(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

containsSignatureDef(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

containsSignatureDef(String) - Method in class org.tensorflow.framework.MetaGraphDef

signature_def: Map from user supplied key for a signature to a single SignatureDef.

containsSignatureDef(String) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

containsTasks(int) - Method in class org.tensorflow.distruntime.JobDef.Builder

Mapping from task ID to "hostname:port" string.

containsTasks(int) - Method in class org.tensorflow.distruntime.JobDef

Mapping from task ID to "hostname:port" string.

containsTasks(int) - Method in interface org.tensorflow.distruntime.JobDefOrBuilder

Mapping from task ID to "hostname:port" string.

containsZeros(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata.PluginData

CONTENT_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio

contentEquals(int[], IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Compare the contents of a buffer and an array for equals

contentEquals(int[], DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Compare the contents of a buffer and an array for equals

contentEquals(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

contentEquals(long[], IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

contentEquals(long[], LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

contentEquals(long[], DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

CONTEXT_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

CONTEXT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CondContextDef

CONTEXT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

contextPointer() - Method in interface org.nd4j.linalg.api.ops.OpContext

This method returns pointer to context, to be used during native op execution

CONTINUE - org.nd4j.autodiff.listeners.ListenerResponse

CONTROL_DEP - org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

CONTROL_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

CONTROL_OP_IDS_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.Operation

controlDepFor - Variable in class org.nd4j.autodiff.samediff.internal.SameDiffOp

controlDepFor(int) - Method in class org.nd4j.graph.FlatNode

controlDepForLength() - Method in class org.nd4j.graph.FlatNode

controlDepForOp(int) - Method in class org.nd4j.graph.FlatVariable

controlDepForOpLength() - Method in class org.nd4j.graph.FlatVariable

controlDepForOpVector() - Method in class org.nd4j.graph.FlatVariable

controlDepForOpVector(StringVector) - Method in class org.nd4j.graph.FlatVariable

controlDepForVector() - Method in class org.nd4j.graph.FlatNode

controlDepForVector(StringVector) - Method in class org.nd4j.graph.FlatNode

controlDeps - Variable in class org.nd4j.autodiff.samediff.internal.SameDiffOp

controlDeps - Variable in class org.nd4j.autodiff.samediff.internal.Variable

controlDeps(int) - Method in class org.nd4j.graph.FlatNode

controlDeps(int) - Method in class org.nd4j.graph.FlatVariable

controlDeps(int) - Method in class org.nd4j.graph.UIOp

controlDeps(int) - Method in class org.nd4j.graph.UIVariable

controlDepsForOp - Variable in class org.nd4j.autodiff.samediff.internal.Variable

controlDepsForOp(int) - Method in class org.nd4j.graph.UIVariable

controlDepsForOpLength() - Method in class org.nd4j.graph.UIVariable

controlDepsForOpVector() - Method in class org.nd4j.graph.UIVariable

controlDepsForOpVector(StringVector) - Method in class org.nd4j.graph.UIVariable

controlDepsForVar - Variable in class org.nd4j.autodiff.samediff.internal.Variable

controlDepsForVar(int) - Method in class org.nd4j.graph.FlatVariable

controlDepsForVar(int) - Method in class org.nd4j.graph.UIVariable

controlDepsForVarLength() - Method in class org.nd4j.graph.FlatVariable

controlDepsForVarLength() - Method in class org.nd4j.graph.UIVariable

controlDepsForVarVector() - Method in class org.nd4j.graph.FlatVariable

controlDepsForVarVector() - Method in class org.nd4j.graph.UIVariable

controlDepsForVarVector(StringVector) - Method in class org.nd4j.graph.FlatVariable

controlDepsForVarVector(StringVector) - Method in class org.nd4j.graph.UIVariable

controlDepsLength() - Method in class org.nd4j.graph.FlatNode

controlDepsLength() - Method in class org.nd4j.graph.FlatVariable

controlDepsLength() - Method in class org.nd4j.graph.UIOp

controlDepsLength() - Method in class org.nd4j.graph.UIVariable

controlDepsVector() - Method in class org.nd4j.graph.FlatNode

controlDepsVector() - Method in class org.nd4j.graph.FlatVariable

controlDepsVector() - Method in class org.nd4j.graph.UIOp

controlDepsVector() - Method in class org.nd4j.graph.UIVariable

controlDepsVector(StringVector) - Method in class org.nd4j.graph.FlatNode

controlDepsVector(StringVector) - Method in class org.nd4j.graph.FlatVariable

controlDepsVector(StringVector) - Method in class org.nd4j.graph.UIOp

controlDepsVector(StringVector) - Method in class org.nd4j.graph.UIVariable

ControlFlow - Class in org.nd4j.autodiff.samediff

Top level class for looping constructs in samediff.

ControlFlow() - Constructor for class org.nd4j.autodiff.samediff.ControlFlow

ControlFlow.LoopArgs - Class in org.nd4j.autodiff.samediff

ControlFlow.LoopLambdaArgs - Class in org.nd4j.autodiff.samediff

ControlFlow.LoopParams - Class in org.nd4j.autodiff.samediff

ControlFlowContextDef - Class in org.tensorflow.framework

Container for any kind of control flow context.

ControlFlowContextDef.Builder - Class in org.tensorflow.framework

Container for any kind of control flow context.

ControlFlowContextDef.CtxtCase - Enum in org.tensorflow.framework

ControlFlowContextDefOrBuilder - Interface in org.tensorflow.framework

ControlflowListener - Class in org.nd4j.autodiff.listeners.debugging

ControlflowListener() - Constructor for class org.nd4j.autodiff.listeners.debugging.ControlflowListener

ControlFlowProtos - Class in org.tensorflow.framework

conv1d(String, SDVariable, SDVariable, SDVariable, Conv1DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Conv1d operation.

conv1d(String, SDVariable, SDVariable, Conv1DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Conv1d operation.

conv1d(SDVariable, SDVariable, SDVariable, Conv1DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Conv1d operation.

conv1d(SDVariable, SDVariable, Conv1DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Conv1d operation.

conv1d(INDArray, INDArray, INDArray, Conv1DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Conv1d operation.

conv1d(INDArray, INDArray, Conv1DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Conv1d operation.

Conv1D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Conv1D(SameDiff, SDVariable, SDVariable, SDVariable, Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

Conv1D(INDArray, INDArray, INDArray, INDArray, Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

Conv1D(SameDiff, SDVariable[], Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

Conv1D(INDArray[], INDArray[], Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

Conv1D(INDArray, INDArray, INDArray, Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

Conv1DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config

Conv1DConfig(long, long, long, long, String, PaddingMode) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig

Conv1DConfig(long, long, long, String, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig

Conv1DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Conv1DDerivative(SameDiff, SDVariable[], Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

Conv1DDerivative(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

Conv1DDerivative(INDArray, INDArray, INDArray, INDArray, INDArray, Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

Conv1DDerivative(INDArray[], INDArray[], Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

conv2d(String, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution operation with optional bias

conv2d(String, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution operation with optional bias

conv2d(SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution operation with optional bias

conv2d(SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution operation with optional bias

conv2d(INDArray, INDArray, INDArray, Conv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

2D Convolution operation with optional bias

conv2d(INDArray, INDArray, Conv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

2D Convolution operation with optional bias

conv2d(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution

2d convolution (aka the last 2 dimensions

conv2d(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution

2d convolution (aka the last 2 dimensions

conv2d(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance

2d convolution (aka the last 2 dimensions

Conv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Conv2D(SameDiff, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

Conv2D(INDArray, INDArray, INDArray, INDArray, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

Conv2D(SameDiff, SDVariable[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

Conv2D(INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

Conv2D(INDArray, INDArray, INDArray, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

conv2DConfig - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

conv2DConfig - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

conv2DConfig - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp

Conv2DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config

Conv2DConfig(long, long, long, long, long, long, long, long, PaddingMode, String, WeightsFormat) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

Conv2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Conv2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative

Conv2DDerivative(SameDiff, SDVariable[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative

conv3d(String, SDVariable, SDVariable, SDVariable, Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 3D operation with optional bias

conv3d(String, SDVariable, SDVariable, Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 3D operation with optional bias

conv3d(SDVariable, SDVariable, SDVariable, Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 3D operation with optional bias

conv3d(SDVariable, SDVariable, Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 3D operation with optional bias

conv3d(INDArray, INDArray, INDArray, Conv3DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Convolution 3D operation with optional bias

conv3d(INDArray, INDArray, Conv3DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Convolution 3D operation with optional bias

Conv3D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Conv3D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

Conv3D(SameDiff, SDVariable, SDVariable, SDVariable, Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

Conv3D(INDArray, INDArray, INDArray, INDArray, Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

Conv3D(SameDiff, SDVariable[], Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

Conv3D(INDArray[], INDArray[], Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

Conv3D(INDArray, INDArray, INDArray, Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

Conv3D(INDArray, INDArray, Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

Conv3DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config

Conv3DConfig(long, long, long, long, long, long, long, long, long, long, long, long, boolean, PaddingMode, String) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig

Conv3DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Conv3DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

Conv3DDerivative(SameDiff, SDVariable[], Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

ConvConfigUtil - Class in org.nd4j.linalg.util

ConvConfigUtil() - Constructor for class org.nd4j.linalg.util.ConvConfigUtil

convertBackToFeatures(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA

Take the data that has been transformed to the principal components about the mean and transform it back into the original feature set.

CONVERTBOOLTOINT_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

convertConstantsToVariables() - Method in class org.nd4j.autodiff.samediff.SameDiff

All constants are converted to variables, also called unfreezing a graph.

convertDataEx(DataTypeEx, Pointer, DataTypeEx, Pointer, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

convertDataEx(DataTypeEx, Pointer, DataTypeEx, DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

convertDataEx(DataTypeEx, DataBuffer, DataTypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

convertDataEx(DataTypeEx, DataBuffer, DataTypeEx, DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

convertDataEx(DataTypeEx, INDArray, DataTypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

convertDataTypes(Map<String, DataType>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Convert the datatypes of the specified constants, placeholders and variables.
After conversion, the downstream datatypes are changed.

convertFromApacheMatrix(RealMatrix, DataType) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

convertToApacheMatrix(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

convertToComponents(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA

Takes a set of data on each row, with the same number of features as the constructing data and returns the data in the coordinates of the basis set about the mean.

convertToConstant() - Method in class org.nd4j.autodiff.samediff.SDVariable

Convert this variable to a constant.

convertToConstant(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff

Convert the specified variable to a constant.

convertToConstants(List<SDVariable>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Convert all of the specified variables to constants.

convertToDataType(DataType) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

convertToNumpy(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Converts an INDArray to a numpy struct.

convertToNumpy(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Convert an INDArray to a numpy array.

convertToVariable() - Method in class org.nd4j.autodiff.samediff.SDVariable

Convert this variable to a VARIABLE type SDVariable.
This can only be done for constants and placeholders, not ARRAY type variables (which are usually network activations).

convertToVariable(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff

Convert the specified variable to a VARIABLE type SDVariable.
This can only be done for constants and placeholders, not ARRAY type variables (which are usually network activations).

convertToVariables(List<SDVariable>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Convert the specified variables to VARIABLE type SDVariables.
This can only be done for constants and placeholders, not ARRAY type variables (which are usually network activations).

convertType(DataType) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray

convertType(DataType) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Convert from TF proto datatype to ND4J datatype

convn(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution

ND Convolution

convn(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution

ND Convolution

convn(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance

ND Convolution

convn(INDArray, INDArray, Convolution.Type, int[]) - Static method in class org.nd4j.linalg.convolution.Convolution

ND Convolution

convn(INDArray, INDArray, Convolution.Type, int[]) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance

ND Convolution

convn(INDArray, INDArray, Convolution.Type, int[]) - Method in class org.nd4j.linalg.convolution.DefaultConvolutionInstance

ND Convolution

Convolution - Class in org.nd4j.linalg.convolution

CONVOLUTION - org.nd4j.linalg.heartbeat.reports.Task.ArchitectureType

Convolution.Type - Enum in org.nd4j.linalg.convolution

ConvolutionInstance - Interface in org.nd4j.linalg.convolution

COO_SPARSE - org.tensorflow.framework.TensorInfo.EncodingCase

COO_SPARSE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorInfo

CoordinateFunction - Interface in org.nd4j.linalg.api.shape.loop.coordinatefunction

CoordinateTransformationMode - Enum in org.nd4j.enums

Transformation function of the coordinate in the resized NdArray to the coordinate in the original NdArray ASYMMETRIC original = resized / scale HALF_PIXEL original = (resized + 0.5) / scale - 0.5 HALF_PIXEL_NN original = (resized + 0.5) / scale It is used to retain old behaviour in ResizeNearest

copy() - Method in class org.nd4j.autodiff.listeners.At

copy() - Method in class org.nd4j.autodiff.listeners.Loss

copy() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Create a copy of the DataSet

copy() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Clone the dataset

copy() - Method in class org.nd4j.linalg.dataset.DataSet

Clone the dataset

copy() - Method in class org.nd4j.linalg.dataset.MultiDataSet

Clone the dataset

copy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

copy a vector to another vector.

copy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1

copy a vector to another vector.

copy(Operation) - Method in class org.nd4j.autodiff.listeners.At

copy(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

swaps a vector with another vector.

copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

copy a vector to another vector.

copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Copy a to b

copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute y <- x (copy a matrix)

copy(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Copy a to b

copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Copy a to b

copy(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast copy op.

copyAtStride(DataBuffer, long, long, long, long, long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

copyAtStride(DataBuffer, long, long, long, long, long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Copies from the given buffer at the specified stride for up to n elements

CopyOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

CopyOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

CopyOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

CopyOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

CopyOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

CopyOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

CopyOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

CopyOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

CopyOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

copyToHost(DataBuffer, int) - Method in interface org.nd4j.linalg.api.buffer.allocation.MemoryStrategy

Copy data to native or gpu

cOrFortranOrder(int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

Deprecated.

cOrFortranOrder(long[], long[], long) - Static method in class org.nd4j.linalg.api.shape.Shape

Infer order from

correlationR2(int) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Deprecated.

Use RegressionEvaluation.pearsonCorrelation(int) instead. For the R2 score use RegressionEvaluation.rSquared(int).

cos(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise cosine operation: out = cos(x)

cos(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise cosine operation: out = cos(x)

cos(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise cosine operation: out = cos(x)

cos(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

cos(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Cos - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Cos(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos

Cos(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos

Cos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos

Cos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos

cosh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise cosh (hyperbolic cosine) operation: out = cosh(x)

cosh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise cosh (hyperbolic cosine) operation: out = cosh(x)

cosh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise cosh (hyperbolic cosine) operation: out = cosh(x)

cosh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

cosh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Cosh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Cosh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh

Cosh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh

Cosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh

Cosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh

COSINE_PROXIMITY - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

cosineDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

cosineDistance(String, SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cosine distance reduction operation.

cosineDistance(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cosine distance reduction operation.

cosineDistance(String, SDVariable, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Cosine distance loss: 1 - cosineSimilarity(x,y) or 1 - sum_i label[i] * prediction[i], which is
equivalent to cosine distance when both the predictions and labels are normalized.
Note: This loss function assumes that both the predictions and labels are normalized to have unit l2 norm.
If this is not the case, you should normalize them first by dividing by norm2(String, SDVariable, boolean, int...)
along the cosine distance dimension (with keepDims=true).

cosineDistance(String, SDVariable, SDVariable, SDVariable, LossReduce, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Cosine distance loss: 1 - cosineSimilarity(x,y) or 1 - sum_i label[i] * prediction[i], which is
equivalent to cosine distance when both the predictions and labels are normalized.
Note: This loss function assumes that both the predictions and labels are normalized to have unit l2 norm.
If this is not the case, you should normalize them first by dividing by norm2(String, SDVariable, boolean, int...)
along the cosine distance dimension (with keepDims=true).

cosineDistance(SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cosine distance reduction operation.

cosineDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cosine distance reduction operation.

cosineDistance(SDVariable, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Cosine distance loss: 1 - cosineSimilarity(x,y) or 1 - sum_i label[i] * prediction[i], which is
equivalent to cosine distance when both the predictions and labels are normalized.
Note: This loss function assumes that both the predictions and labels are normalized to have unit l2 norm.
If this is not the case, you should normalize them first by dividing by norm2(String, SDVariable, boolean, int...)
along the cosine distance dimension (with keepDims=true).

cosineDistance(SDVariable, SDVariable, SDVariable, LossReduce, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Cosine distance loss: 1 - cosineSimilarity(x,y) or 1 - sum_i label[i] * prediction[i], which is
equivalent to cosine distance when both the predictions and labels are normalized.
Note: This loss function assumes that both the predictions and labels are normalized to have unit l2 norm.
If this is not the case, you should normalize them first by dividing by norm2(String, SDVariable, boolean, int...)
along the cosine distance dimension (with keepDims=true).

cosineDistance(INDArray, INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Cosine distance reduction operation.

cosineDistance(INDArray, INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Cosine distance reduction operation.

cosineDistance(INDArray, INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Cosine distance loss: 1 - cosineSimilarity(x,y) or 1 - sum_i label[i] * prediction[i], which is
equivalent to cosine distance when both the predictions and labels are normalized.
Note: This loss function assumes that both the predictions and labels are normalized to have unit l2 norm.
If this is not the case, you should normalize them first by dividing by norm2(String, SDVariable, boolean, int...)
along the cosine distance dimension (with keepDims=true).

cosineDistance(INDArray, INDArray, INDArray, LossReduce, int) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Cosine distance loss: 1 - cosineSimilarity(x,y) or 1 - sum_i label[i] * prediction[i], which is
equivalent to cosine distance when both the predictions and labels are normalized.
Note: This loss function assumes that both the predictions and labels are normalized to have unit l2 norm.
If this is not the case, you should normalize them first by dividing by norm2(String, SDVariable, boolean, int...)
along the cosine distance dimension (with keepDims=true).

CosineDistance - Class in org.nd4j.linalg.api.ops.impl.reduce3

CosineDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(SameDiff, SDVariable, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistance(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

CosineDistanceLoss - Class in org.nd4j.linalg.api.ops.impl.loss

CosineDistanceLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.CosineDistanceLoss

CosineDistanceLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.CosineDistanceLoss

CosineDistanceLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.CosineDistanceLoss

CosineDistanceLoss(INDArray, INDArray, INDArray, LossReduce, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.CosineDistanceLoss

CosineDistanceLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

CosineDistanceLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.CosineDistanceLossBp

CosineDistanceLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.CosineDistanceLossBp

cosineSim(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Cosine similarity

cosineSimilarity(String, SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cosine similarity pairwise reduction operation.

cosineSimilarity(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cosine similarity pairwise reduction operation.

cosineSimilarity(SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cosine similarity pairwise reduction operation.

cosineSimilarity(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Cosine similarity pairwise reduction operation.

cosineSimilarity(INDArray, INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Cosine similarity pairwise reduction operation.

cosineSimilarity(INDArray, INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Cosine similarity pairwise reduction operation.

CosineSimilarity - Class in org.nd4j.linalg.api.ops.impl.reduce3

CosineSimilarity() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(SameDiff, SDVariable, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

CosineSimilarity(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

COST_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse

COST_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunMetadata

costArray - Variable in class org.nd4j.evaluation.classification.Evaluation

CostGraphDef - Class in org.tensorflow.framework

Protobuf type tensorflow.CostGraphDef

CostGraphDef.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.CostGraphDef

CostGraphDef.Node - Class in org.tensorflow.framework

Protobuf type tensorflow.CostGraphDef.Node

CostGraphDef.Node.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.CostGraphDef.Node

CostGraphDef.Node.InputInfo - Class in org.tensorflow.framework

Inputs of this node.

CostGraphDef.Node.InputInfo.Builder - Class in org.tensorflow.framework

Inputs of this node.

CostGraphDef.Node.InputInfoOrBuilder - Interface in org.tensorflow.framework

CostGraphDef.Node.OutputInfo - Class in org.tensorflow.framework

Outputs of this node.

CostGraphDef.Node.OutputInfo.Builder - Class in org.tensorflow.framework

Outputs of this node.

CostGraphDef.Node.OutputInfoOrBuilder - Interface in org.tensorflow.framework

CostGraphDef.NodeOrBuilder - Interface in org.tensorflow.framework

CostGraphDefOrBuilder - Interface in org.tensorflow.framework

CostGraphProtos - Class in org.tensorflow.framework

count - Variable in class org.nd4j.autodiff.listeners.debugging.ArraySavingListener

counter - Variable in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

counter - Variable in class org.nd4j.linalg.profiler.data.primitives.StackNode

countinf() - Method in class org.nd4j.graph.UISummaryStatistics

countnan() - Method in class org.nd4j.graph.UISummaryStatistics

countnegative() - Method in class org.nd4j.graph.UISummaryStatistics

countNonZero(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Count non zero array reduction operation, optionally along specified dimensions: out = count(x != 0)

countNonZero(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Count non zero array reduction operation, optionally along specified dimensions: out = count(x != 0)

countNonZero(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Count non zero array reduction operation, optionally along specified dimensions: out = count(x != 0)

countNonZero(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Count non zero array reduction operation, optionally along specified dimensions: out = count(x != 0)

countNonZero(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Count non zero array reduction operation, optionally along specified dimensions: out = count(x != 0)

countNonZero(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Count non zero array reduction operation, optionally along specified dimensions: out = count(x != 0)

CountNonZero - Class in org.nd4j.linalg.api.ops.impl.reduce.longer

CountNonZero() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

CountNonZero(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

countpositive() - Method in class org.nd4j.graph.UISummaryStatistics

CountsForThreshold(double) - Constructor for class org.nd4j.evaluation.classification.ROC.CountsForThreshold

countzero() - Method in class org.nd4j.graph.UISummaryStatistics

countZero(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Count zero array reduction operation, optionally along specified dimensions: out = count(x == 0)

countZero(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Count zero array reduction operation, optionally along specified dimensions: out = count(x == 0)

countZero(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Count zero array reduction operation, optionally along specified dimensions: out = count(x == 0)

countZero(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Count zero array reduction operation, optionally along specified dimensions: out = count(x == 0)

countZero(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Count zero array reduction operation, optionally along specified dimensions: out = count(x == 0)

countZero(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Count zero array reduction operation, optionally along specified dimensions: out = count(x == 0)

CountZero - Class in org.nd4j.linalg.api.ops.impl.reduce.longer

CountZero() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

CountZero(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

covarianceMatrix(INDArray) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA

Returns the covariance matrix of a data set of many records, each with N features.

CPU_CORES_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

CRC32C_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto

create() - Static method in class org.nd4j.autodiff.samediff.SameDiff

Create a new (empty) SameDiff instance without any functions or variables

create() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory

create() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIteratorFactory

Create a MultiDataSetIterator

create(@lombok.NonNull int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(@lombok.NonNull long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array with given shape and ordering.

create(boolean[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a vector based on a java boolean array.

create(boolean[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create 2D boolean array based on java 2d boolean array.

create(boolean[][], @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a boolean array with given shape based on java 2d boolean array.

create(boolean[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], long[], char, DataType)

create(boolean[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(boolean[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(boolean[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], DataType)

create(byte[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], long[], char, DataType)

create(byte[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(byte[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(byte[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], DataType)

create(double[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Create the data buffer with respect to the given byte buffer

create(double[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

Create the data buffer with respect to the given byte buffer

create(double[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates a row vector with the data

create(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create double array based on java double array.

create(double[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates a row vector with the data

create(double[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create 2D double array based on java 2d double array.

create(double[][]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create an ndarray with the given data layout

create(double[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a 3D double array based on the 3D java double array.

create(double[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create 4D double array based on 4D java double array.

create(double[][], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a 2D double array based on a 2D java double array with given ordering.

create(double[][], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a matrix from the given data and ordering

create(double[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(double[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a row vector with the data

create(double[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create an ndrray with the specified shape

create(double[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array of the specified shape initialized with values from a java 1d array.

create(double[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create an ndrray with the specified shape

create(double[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array withgiven shape and ordering based on a java double array.

create(double[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(double[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(double[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(double[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array.

create(double[], long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(double[], long...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(float[], int[])

create(double[], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(double[], int[], char)

create(double[], long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], long[], char, DataType)

create(double[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], long[], long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], long[], long[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], long[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(double[], int[], long, char )

create(double[], long[], long, Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(double[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], DataType)

create(double[], long, long, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(double[], long, long, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(float[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Create the data buffer with respect to the given byte buffer

create(float[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

Create the data buffer with respect to the given byte buffer

create(float[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates a row vector with the data

create(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a row vector with the data

create(float[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates a row vector with the data

create(float[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create 2D float array based on java 2d float array.

create(float[][]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a 3D float array based on the 3D java float array.

create(float[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create 4D float array based on 4D java float array.

create(float[][], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create 2D float array based on java 2d float array and ordering.

create(float[][], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(float[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a row vector with the data

create(float[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create an ndrray with the specified shape

create(float[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an ndrray with the specified shape

create(float[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create an ndrray with the specified shape

create(float[], int[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(float[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(double[], int[], char)

create(float[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(float[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(float[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array of the specified type, shape and stride initialized with values from a java 1d array using offset.

create(float[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(float[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(float[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], int[], long, Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(float[], long...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(float[], int[])

create(float[], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(double[], int[], char)

create(float[], long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[], long[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], long[], char, DataType)

create(float[], long[], long[], char, DataType) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[], long[], char, DataType, MemoryWorkspace) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(float[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[], long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[], long[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[], long, Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], DataType)

create(float[], long, long, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(float[], long, long, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(float[], long, long, int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(int) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a row vector with the specified number of columns

create(int[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Create the data buffer with respect to the given byte buffer

create(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(int[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

Create the data buffer with respect to the given byte buffer

create(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create 2D double array based on java 2d double array.

create(int[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

create 3D int array based on 3D java int array.

create(int[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create 4D int array based on 4D java int array.

create(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(int[], double[]...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], float[]...)

create(int[], float[]...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an ndarray based on the given data

create(int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(int[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(int[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(int[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(int[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(int[], int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(int[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(int[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array of the specified type, shape and stride initialized with values from a java 1d array.

create(int[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(int[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(int[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array of the specified type and shape initialized with values from a java 1d array.

create(int[], DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create an ndarray with the given shape and data

create(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array of given shape and data type.

create(int[], DataType, MemoryWorkspace) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(int[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(int, char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a row vector with the specified number of columns

create(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(int, int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(int, int, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a 2D array with given rows, columns, stride and ordering.

create(int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Create with length

create(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

Create with length

create(long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates a row vector with the specified number of columns

create(long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates a row vector with the specified number of columns

create(long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(long[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create 2D long array based on java 2d long array.

create(long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(long[], long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(long[], long[]) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], int[])

create(long[], long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(long[], long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], int[], char)

create(long[], long[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(long[], long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(long[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], long[], char, DataType)

create(long[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(long[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(long[], long[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(long[], long[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(long[], long[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(long[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], DataType)

create(long[], INDArray) - Method in class org.nd4j.weightinit.BaseWeightInitScheme

create(long[], INDArray) - Method in class org.nd4j.weightinit.impl.NDArraySupplierInitScheme

create(long[], INDArray) - Method in interface org.nd4j.weightinit.WeightInitScheme

Create the array

create(long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(long, long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(long, long, char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified shape

create(long, long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(long, long, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(long, long, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(long, long, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(long, long, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(long, long, long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(short[], long[], long[], char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], long[], char, DataType)

create(short[], long[], long[], char, DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(short[], long[], long[], DataType, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(short[], long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], long[], DataType)

create(String...) - Static method in class org.nd4j.linalg.factory.Nd4j

create(Collection<String>, long...) - Static method in class org.nd4j.linalg.factory.Nd4j

create(Collection<String>, long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

create(DataType, @lombok.NonNull long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array with given data type shape and ordering.

create(String, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a newly created variable, with the specified shape and data type.

create(String, SDVariable, DataType, String, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a newly created variable, with the specified shape and data type.

create(ByteBuffer, DataType, long, long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a DataBuffer from java.nio.ByteBuffer

create(Collection<String>, long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(Collection<INDArray>) - Static method in class org.nd4j.autodiff.samediff.config.SDValue

Wrap an INDArray in a value with an SDValueType.LIST type

create(List<? extends Number>) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a row vector with the data

create(List<INDArray>) - Static method in class org.nd4j.autodiff.samediff.config.SDValue

Wrap an INDArray in a value with an SDValueType.LIST type

create(List<INDArray>, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified shape

create(List<INDArray>, int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an array with the specified shape from a list of arrays.

create(List<INDArray>, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(List<INDArray>, int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(List<INDArray>, long...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(List, int[])

create(List<INDArray>, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(List<INDArray>, long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(Map<String, INDArray>) - Static method in class org.nd4j.autodiff.samediff.config.SDValue

Wrap an {@link Map} in a value with an SDValueType.DICT type

create(DoublePointer, long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

create(FloatPointer, long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

create(IntPointer, long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

create(Pointer, Pointer, DataType, long, Indexer) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

create(Pointer, DataType, long, Indexer) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a data buffer based on the given pointer, data buffer opType, and length of the buffer

create(SameDiff) - Method in interface org.nd4j.autodiff.samediff.InferenceFactory

create(SameDiff) - Method in class org.nd4j.autodiff.samediff.SameDiff.DefaultInferenceFactory

create(SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a newly created variable, with the specified shape and data type.

create(SDVariable, DataType, String, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a newly created variable, with the specified shape and data type.

create(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(DataBuffer) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array based on the data buffer.

create(DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates a row vector with the data

create(DataBuffer, int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array based on the data buffer with given shape.

create(DataBuffer, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create an ndrray with the specified shape

create(DataBuffer, int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(DataBuffer, int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

create(DataBuffer, int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataBuffer, int[], int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(DataBuffer, int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array based on the data buffer with given shape, stride and offset.

create(DataBuffer, int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(DataBuffer, int[], int[], long, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(DataBuffer, int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(DataBuffer data, long[], long[], long, long, char )

create(DataBuffer, int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataBuffer, int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(DataBuffer, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(DataBuffer, int[], int[], long).

create(DataBuffer, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataBuffer, long...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(DataBuffer, int[])

create(DataBuffer, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataBuffer, long[], long[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(DataBuffer, int[], int[], long)

create(DataBuffer, long[], long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataBuffer, long[], long[], long, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

create(DataBuffer, long[], long[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(DataBuffer data, long[], long[], long, long, char )

create(DataBuffer, long[], long[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataBuffer, long[], long[], long, char, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array based on the data buffer with given shape, stride, offset and data type.

create(DataBuffer, long[], long[], long, char, DataType) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataBuffer, long[], long[], long, long, char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array based on the data buffer with given shape, stride and offset.

create(DataBuffer, long[], long[], long, long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataBuffer, long, long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a databuffer wrapping another one this allows you to create a view of a buffer with a different offset and length backed by the same storage

create(DataBuffer, long, long, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified shape

create(DataType, @lombok.NonNull long[], long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array with given shape, stride and ordering.

create(DataType, long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an array with specified shape and datatype.

create(DataType, long...) - Method in class org.nd4j.weightinit.BaseWeightInitScheme

create(DataType, long[]) - Method in class org.nd4j.weightinit.impl.NDArraySupplierInitScheme

create(DataType, long...) - Method in interface org.nd4j.weightinit.WeightInitScheme

Create the array

create(DataType, long[], char, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataType, long[], long[], char, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

create(DataType, long[], long[], long[], char, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create an ndArray with padded Buffer

create(DataType, long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

create(DataType, long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

create(INDArray) - Static method in class org.nd4j.autodiff.samediff.config.SDValue

Wrap an INDArray in a tensor with an SDValueType.TENSOR type

create(INDArray, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return a newly created variable, with the specified shape and data type.

create(INDArray, DataType, String, boolean) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return a newly created variable, with the specified shape and data type.

create(LongShapeDescriptor) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(LongShapeDescriptor, boolean) with initialize set to true.

create(LongShapeDescriptor, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an ndarray based on the given description,

create(T, DataType, @lombok.NonNull long...) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

create(T, DataType, @lombok.NonNull long[], @lombok.NonNull char) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

create(T, DataType, long...) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Create an array in the specified array type's workspace (or detached if none is specified).

create(T, DataType, long[], char) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Create an array in the specified array type's workspace (or detached if none is specified).

Create - Class in org.nd4j.linalg.api.ops.impl.shape

Create() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Create

Create(INDArray, char, boolean, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Create

Create(String, SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Create

Create(String, SameDiff, SDVariable, char, boolean, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Create

Create(SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Create

Create(SameDiff, SDVariable, DataType, String, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Create

Create(INDArray, boolean, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Create

Create(INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Create

Create(INDArray, DataType, String, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Create

CREATE - org.nd4j.autodiff.listeners.impl.UIListener.FileMode

CREATE_APPEND_NOCHECK - org.nd4j.autodiff.listeners.impl.UIListener.FileMode

CREATE_OR_APPEND - org.nd4j.autodiff.listeners.impl.UIListener.FileMode

CREATE_WORKER_SESSION_CALLED_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.DeregisterGraphRequest

CREATE_WORKER_SESSION_CALLED_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest

CREATE_WORKER_SESSION_CALLED_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

createAll(SameDiff) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

See CreateView.createAll(SameDiff, String) for more information

createAll(SameDiff, String) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

Create an SDVariable representing an SDIndex.all() variable.

createArrayFromShapeBuffer(DataBuffer, Pair<DataBuffer, long[]>) - Static method in class org.nd4j.linalg.factory.Nd4j

Create array based in data buffer and shape info,

createArrayFromShapeBuffer(DataBuffer, DataBuffer) - Static method in class org.nd4j.linalg.factory.Nd4j

Create array based in data buffer and shape info,

createAssociatedVariableVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.SequenceItem

createAVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties

createBFloat16(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createBFloat16(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createBFloat16(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createBinlabelsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIHistogram

createBinomial(int, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

createBinomial(int, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory

Create a distribution

createBinomial(int, INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

createBinomial(int, INDArray) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory

Create a distribution

createBlas() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create blas

createBool(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createBool(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createBool(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createBuffer(@lombok.NonNull int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer equal of length prod(shape)

createBuffer(@lombok.NonNull long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createBuffer(int[], DataType)

createBuffer(byte[], int, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer based on the data opType

createBuffer(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createBuffer(float[])

createBuffer(double[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer based on the data opType

createBuffer(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer based on the data opType

createBuffer(float[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer based on the data opType

createBuffer(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer equal of length prod(shape)

createBuffer(int[], DataType, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer equal of length prod(shape)

createBuffer(int, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a buffer of the specified length based on the data opType

createBuffer(long) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a buffer of the specified length based on the data opType

createBuffer(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer equal of length prod(shape)

createBuffer(long, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

See with default datatype.

createBuffer(Pointer, long, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a buffer of the specified type and length with the given pointer.

createBuffer(Pointer, Pointer, long, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a buffer of the specified type and length with the given pointer at the specified device.

createBuffer(ByteBuffer, DataType, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a buffer of the specified opType and length with the given byte buffer.

createBuffer(ByteBuffer, DataType, int, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a buffer of the specified opType and length with the given byte buffer.

createBuffer(Pointer, DataType, long, Indexer) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a data buffer based on a pointer with the given opType and length

createBuffer(DataBuffer, long, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a view of a data buffer Leverages the underlying storage of the buffer with a new view

createBuffer(DataType, long, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a data buffer based on datatype.

createBuffer(DataType, long, boolean, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a data buffer based on datatype, workspace.

createBufferDetached(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createBufferDetached(float[])

createBufferDetached(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer based on underlying array.

createBufferDetached(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer equal of length prod(shape).

createBufferDetached(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer equal of length prod(shape).

createBufferDetached(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer equal of length prod(shape).

createBufferDetached(long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createBufferDetached(int[], DataType)

createBufferVector(FlatBufferBuilder, byte[]) - Static method in class org.nd4j.graph.FlatArray

createBufferVector(FlatBufferBuilder, ByteBuffer) - Static method in class org.nd4j.graph.FlatArray

createBVector(FlatBufferBuilder, boolean[]) - Static method in class org.nd4j.graph.FlatProperties

createByte(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createByte(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createByte(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createConfigFromArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

createConfigFromArgs(Pooling3D.Pooling3DType) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

createConstant(double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

createConstant(double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory

Creates constant distribution

createConstantBuffer(double[], DataType) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

createConstantBuffer(double[], DataType) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

createConstantBuffer(float[], DataType) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

createConstantBuffer(float[], DataType) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

createConstantBuffer(int[], DataType) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

createConstantBuffer(int[], DataType) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

createConstantBuffer(long[], DataType) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

createConstantBuffer(long[], DataType) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns constant buffer for the given jvm array

createControlDepForOpVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatVariable

createControlDepForVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createControlDepsForOpVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIVariable

createControlDepsForVarVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatVariable

createControlDepsForVarVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIVariable

createControlDepsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createControlDepsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatVariable

createControlDepsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIOp

createControlDepsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIVariable

createCoveringShape(int[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Creates an index covering the given shape (for each dimension 0,shape[i])

createCoveringShape(long[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

createDefault(String) - Static method in class org.nd4j.autodiff.samediff.internal.AbstractSession.VarId

Creates the default outer frame

createDimensionsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createDouble(double[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(double[], boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(double[], MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(float[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(int[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(int[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a double data buffer

createDouble(long[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a double data buffer, with optional initialization

createDouble(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createDouble(long, byte[], int) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a double buffer

createDouble(long, double[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(long, double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(long, double[], MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createDouble(long, float[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(long, float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(long, int) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a double data buffer

createDouble(long, int[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDouble(long, int[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createDVector(FlatBufferBuilder, double[]) - Static method in class org.nd4j.graph.FlatProperties

createEmpty(SameDiff, DataType) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Create an empty sequence with the specified data type.

createEmpty(SameDiff, DataType, String) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Create an empty sequence with the specified data type.

createExtraBoolsVector(FlatBufferBuilder, boolean[]) - Static method in class org.nd4j.graph.FlatNode

createExtraIntegerVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.FlatNode

createExtraParamsVector(FlatBufferBuilder, double[]) - Static method in class org.nd4j.graph.FlatNode

createExtraStringsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createExtraTypesVector(FlatBufferBuilder, byte[]) - Static method in class org.nd4j.graph.FlatNode

createExtraTypesVector(FlatBufferBuilder, ByteBuffer) - Static method in class org.nd4j.graph.FlatNode

createFlatArray(FlatBufferBuilder, int, int, byte, byte) - Static method in class org.nd4j.graph.FlatArray

createFlatArrayList(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArrayList

createFlatConfiguration(FlatBufferBuilder, long, byte, byte, byte, boolean, long, long, byte) - Static method in class org.nd4j.graph.FlatConfiguration

createFlatDropRequest(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatDropRequest

createFlatGraph(FlatBufferBuilder, long, int, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.graph.FlatGraph

createFlatInferenceRequest(FlatBufferBuilder, long, int, int) - Static method in class org.nd4j.graph.FlatInferenceRequest

createFlatNode(FlatBufferBuilder, int, int, byte, long, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.graph.FlatNode

createFlatProperties(FlatBufferBuilder, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.graph.FlatProperties

createFlatResponse(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResponse

createFlatResult(FlatBufferBuilder, long, int, int, long, long) - Static method in class org.nd4j.graph.FlatResult

createFlatTiming(FlatBufferBuilder, int, int, int) - Static method in class org.nd4j.graph.FlatTiming

createFlatVariable(FlatBufferBuilder, int, int, byte, int, int, int, byte, int, int, int) - Static method in class org.nd4j.graph.FlatVariable

createFloat(double[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a float data buffer

createFloat(double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a float data buffer

createFloat(float[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a float data buffer

createFloat(float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a float data buffer

createFloat(float[], boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createFloat(float[], MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createFloat(int[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createFloat(int[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createFloat(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a float data buffer

createFloat(long[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a float data buffer

createFloat(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a float data buffer, with optional initialization

createFloat(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createFloat(long, byte[], int) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a double buffer

createFloat(long, double[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a float data buffer

createFloat(long, double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a float data buffer

createFloat(long, float[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a float data buffer

createFloat(long, float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a float data buffer

createFloat(long, float[], MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createFloat(long, int) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create a float data buffer

createFloat(long, int[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createFloat(long, int[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createFrameIteration(FlatBufferBuilder, int, int) - Static method in class org.nd4j.graph.FrameIteration

createFrom(String, INDArray) - Static method in class org.nd4j.autodiff.samediff.config.ExecutionResult

createFrom(List<String>, List<INDArray>) - Static method in class org.nd4j.autodiff.samediff.config.ExecutionResult

createFrom(List<String>, INDArray[]) - Static method in class org.nd4j.autodiff.samediff.config.ExecutionResult

createFrom(DifferentialFunction, OpContext) - Static method in class org.nd4j.autodiff.samediff.config.ExecutionResult

createFrom(INDArray, INDArray...) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

createFromArray(boolean...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(boolean[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(boolean[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(boolean[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(byte...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(byte[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(byte[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(byte[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(double...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(double[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(double[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(double[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(float...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(float[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(float[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(float[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(int...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(int[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(int[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(long...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(long[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(long[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(long[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(short...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(short[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(short[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(short[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Boolean[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Boolean[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Boolean[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Boolean[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Byte[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Byte[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Byte[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Byte[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Double[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Double[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Double[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Double[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Float[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Float[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Float[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Float[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Integer[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Integer[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Integer[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Integer[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Long[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Long[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Long[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Long[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Short[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Short[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Short[][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromArray(Short[][][][]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates INDArray from provided jvm array

createFromFlatArray(FlatArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an INDArray from a flatbuffers FlatArray

createFromNpyFile(File) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an INDArray from a given Numpy .npy file.

createFromNpyFile(File) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create from a given numpy file.

createFromNpyHeaderPointer(Pointer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create from an in memory numpy header.

createFromNpyPointer(Pointer) - Static method in class org.nd4j.linalg.factory.Nd4j

Create from an in memory numpy pointer

createFromNpyPointer(Pointer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create from an in memory numpy pointer

createFromNpzFile(File) - Static method in class org.nd4j.linalg.factory.Nd4j

createFromNpzFile(File) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a Map from given npz file.

createFromStartAndEnd(INDArray, INDArray) - Static method in class org.nd4j.linalg.indexing.Indices

Create an n dimensional index based on the given interval indices.

createFromStartAndEnd(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.indexing.Indices

Create indices representing intervals along each dimension

createGpuMemoryVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.UIHardwareState

createGradFunction() - Method in class org.nd4j.autodiff.samediff.SameDiff

Create the gradient function (for calculating gradients via SameDiff.calculateGradients(Map, Collection)) if it is not already defined.

createGradFunction(String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

As per SameDiff.createGradFunction(), but this method allows a set of variables requiring gradients to be specified.

createHalf(double[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(float[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(float[], boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createHalf(float[], MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createHalf(int[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(int[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates half-precision data buffer

createHalf(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates half-precision data buffer

createHalf(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createHalf(long, byte[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(long, double[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(long, double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(long, float[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(long, float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(long, float[], MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createHalf(long, int) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(long, int[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createHalf(long, int[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a half-precision data buffer

createInputMatrix(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

Creates a feature vector

createInputPairedVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createInputsForOpVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIVariable

createInputsPairVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure

createInputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure

createInputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIOp

createInputVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createInt(double[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates an int data buffer

createInt(double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates an int data buffer

createInt(float[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates an int data buffer

createInt(float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates an int data buffer

createInt(int[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createInt(int[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createInt(int[], boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createInt(int[], MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createInt(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create an int data buffer

createInt(long[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a int data buffer

createInt(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create an int data buffer, with optional initialization

createInt(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createInt(long, double[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates an int data buffer

createInt(long, double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates an int data buffer

createInt(long, float[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates an int data buffer

createInt(long, float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates an int data buffer

createInt(long, int) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create an int data buffer

createInt(long, int[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createInt(long, int[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a double data buffer

createInterval(SameDiff, long, long, long, long) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

See CreateView.createInterval(SameDiff, String, long, long, long, long) for more information.

createInterval(SameDiff, String, long, long, long, long) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

Create an interval representing SDIndex.interval(Long, Long)

createInterval(SameDiff, String, SDVariable, SDVariable, SDVariable, SDVariable) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

Create an interval representing SDIndex.interval(Long, Long)

createInterval(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

createIntPair(FlatBufferBuilder, int, int) - Static method in class org.nd4j.graph.IntPair

createIntTriple(FlatBufferBuilder, int, int, int) - Static method in class org.nd4j.graph.IntTriple

createIVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties

createLapack() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create lapack

createLevel1() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create level 1

createLevel2() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create level 2

createLevel3() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create level 3

createListVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatArrayList

createLogNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

createLogNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory

Creates a log-normal distribution

createLong(int[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Creates a long data buffer

createLong(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createLong(long[]) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createLong(long[], boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createLong(long[], MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createLong(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Create an int data buffer, with optional initialization

createLong(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createLongPair(FlatBufferBuilder, long, long) - Static method in class org.nd4j.graph.LongPair

createLongTriple(FlatBufferBuilder, long, long, long) - Static method in class org.nd4j.graph.LongTriple

createLoopConcat(SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.samediff.SDVariable

Create a graph that takes in the indices as a placeholder, loops over each element in the index vector and appends the slice to the end result.

createLoopPut(SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.samediff.SDVariable

Create a graph that takes in the indices as a placeholder, loops over each element in the index vector and appends the slice to the end result.

createLossVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph

createLVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.FlatProperties

createNewAxis(SameDiff) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

See CreateView.createNewAxis(SameDiff,String) for more information.

createNewAxis(SameDiff, String) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

Create an SDVariable representing a new axis which creates a new index of length 1 in the specified input

createNewWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method builds new Workspace with default configuration

createNewWorkspace(WorkspaceConfiguration) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method builds new Workspace with given configuration

createNewWorkspace(WorkspaceConfiguration, String) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method builds new Workspace with given configuration

createNewWorkspace(WorkspaceConfiguration, String, Integer) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method builds new Workspace with given configuration

createNodesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph

createNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

createNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory

Create a normal distribution with the given mean and std

createNormal(INDArray, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

createNormal(INDArray, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory

Create a normal distribution with the given mean and std

createNpyFromByteArray(@lombok.NonNull byte[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an INDArray from the given numpy input.
The numpy input follows the format: https://docs.scipy.org/doc/numpy-1.14.0/neps/npy-format.html

createNpyFromInputStream(InputStream) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a numpy array based on the passed in input stream

createOpsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure

createOrthogonal(double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

createOrthogonal(double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory

Creates orthogonal distribution

createOutputMatrix(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

createOutputNamesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createOutputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph

createOutputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure

createOutputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIOp

createOutputTypesVector(FlatBufferBuilder, byte[]) - Static method in class org.nd4j.graph.FlatNode

createOutputTypesVector(FlatBufferBuilder, ByteBuffer) - Static method in class org.nd4j.graph.FlatNode

createOutputVector(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

Creates an output label matrix

createOutputVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createPlaceholdersVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph

createPoint(SameDiff, long) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

See CreateView.createPoint(SameDiff,String,long) for mroe information.

createPoint(SameDiff, String, long) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

Create a SDVariable representing a point array with the specified name.

createPoint(SameDiff, String, SDVariable) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

Create a SDVariable representing a point array with the specified name.

createPoint(SameDiff, SDVariable) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

See CreateView.createPoint(SameDiff,String,long) for mroe information.

createPropertiesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createSame(DataBuffer, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

This method will create new DataBuffer of the same dataType & same length

createSame(DataBuffer, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

This method will create new DataBuffer of the same dataType & same length

createSameDiffInstance(DataType) - Method in class org.nd4j.linalg.lossfunctions.SameDiffLoss

createScalar(double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

createScalarForIndex(long, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

createSequence(String, INDArray[]) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a sequence variable based on the input arrays.

createSequence(INDArray[]) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new sequence variable using SameDiff.createSequence(String, INDArray[])

createSequenceItem(FlatBufferBuilder, int, int) - Static method in class org.nd4j.graph.SequenceItem

createSequenceItemRoot(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.SequenceItemRoot

createSequenceItemsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.SequenceItemRoot

CreateSessionRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CreateSessionRequest

CreateSessionRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CreateSessionRequest

CreateSessionRequestOrBuilder - Interface in org.tensorflow.distruntime

CreateSessionResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CreateSessionResponse

CreateSessionResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CreateSessionResponse

CreateSessionResponseOrBuilder - Interface in org.tensorflow.distruntime

createShapeInfo(long[], long[], long, char, DataType, boolean) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

createShapeInfo(long[], long[], long, char, DataType, boolean) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns shapeInfo DataBuffer

createShapeInfo(long[], long[], long, char, DataType, long) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

createShapeInfo(long[], long[], long, char, DataType, long) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

createShapeInformation(long[], char, DataType) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

This method creates shapeInformation buffer, based on shape & order being passed in

createShapeInformation(long[], char, DataType) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider

This method creates long shapeInformation buffer, based on shape & order being passed in

createShapeInformation(long[], long[], long, char, long) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

createShapeInformation(long[], long[], long, char, long) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider

createShapeInformation(long[], long[], long, char, long) - Static method in class org.nd4j.linalg.api.shape.Shape

createShapeInformation(long[], long[], long, char, DataType, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

createShapeInformation(long[], long[], long, char, DataType, boolean) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider

This method creates long shapeInformation buffer, based on detailed shape info being passed in

createShapeInformation(long[], long[], long, char, DataType, boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

createShapeInformation(long[], DataType) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

This method creates shapeInformation buffer, based on shape being passed in

createShapeInformation(long[], DataType) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider

This method creates long shapeInformation buffer, based on shape being passed in

createShapeVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties

createShapeVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.FlatArray

createShapeVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.FlatVariable

createShapeVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.UIVariable

createShort(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createShort(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createShort(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createSparseInformation(int[], long[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

createStashIfNotExists(T) - Method in class org.nd4j.linalg.api.memory.stash.BasicStashManager

createStashIfNotExists(T) - Method in interface org.nd4j.linalg.api.memory.stash.StashManager

createSubset(int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad

createSVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties

createTensorArrayFrom(SameDiff, SDVariable[]) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Create an TensorArray op from the given inputs, note this is the same as calling TensorArray.createTensorArrayFrom(SameDiff, SDVariable[],String) with null.

createTensorArrayFrom(SameDiff, SDVariable[], String) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Create an TensorArray op from the given inputs

createTimingVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatResult

createTruncatedNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

createTruncatedNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory

Creates truncated normal distribution

createTypedBuffer(boolean[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBuffer(float[], DataType)

createTypedBuffer(byte[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBuffer(float[], DataType)

createTypedBuffer(double[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer based on the data of the underlying java array with the specified type..

createTypedBuffer(double[], DataType, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer based on the data of the underlying java array, specified type and workspace

createTypedBuffer(float[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBuffer(double[], DataType)

createTypedBuffer(float[], DataType, MemoryWorkspace) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBuffer(double[], DataType, MemoryWorkspace)

createTypedBuffer(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBuffer(float[], DataType)

createTypedBuffer(long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBuffer(float[], DataType)

createTypedBuffer(short[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBuffer(float[], DataType)

createTypedBufferDetached(boolean[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBufferDetached(double[], DataType)

createTypedBufferDetached(byte[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBufferDetached(double[], DataType)

createTypedBufferDetached(double[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Create am uninitialized buffer based on the data of the underlying java array and specified type.

createTypedBufferDetached(float[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBufferDetached(double[], DataType)

createTypedBufferDetached(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBufferDetached(double[], DataType)

createTypedBufferDetached(long[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBufferDetached(double[], DataType)

createTypedBufferDetached(short[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createTypedBufferDetached(double[], DataType)

createUByte(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUByte(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUByte(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUIAddName(FlatBufferBuilder, int, int) - Static method in class org.nd4j.graph.UIAddName

createUIEvent(FlatBufferBuilder, byte, byte, int, long, int, int, short, int, int) - Static method in class org.nd4j.graph.UIEvent

createUIGraphStructure(FlatBufferBuilder, int, int, int, int, int) - Static method in class org.nd4j.graph.UIGraphStructure

createUIHardwareState(FlatBufferBuilder, int, long) - Static method in class org.nd4j.graph.UIHardwareState

createUIHistogram(FlatBufferBuilder, byte, long, int, int, int) - Static method in class org.nd4j.graph.UIHistogram

createUInt(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUInt(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUInt(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUIOp(FlatBufferBuilder, int, int, int, int, int, int) - Static method in class org.nd4j.graph.UIOp

createUIStaticInfoRecord(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIStaticInfoRecord

createUISummaryStatistics(FlatBufferBuilder, long, int, int, double, double, long, long, long, long, long) - Static method in class org.nd4j.graph.UISummaryStatistics

createUISystemInfo(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISystemInfo

createUIVariable(FlatBufferBuilder, int, int, byte, byte, int, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.graph.UIVariable

createULong(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createULong(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createULong(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUniform(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

createUniform(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory

Create a uniform distribution with the given min and max

createUninitialized(int...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createUninitialized(long[])

createUninitialized(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an *uninitialized* array with the specified shape and ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.

createUninitialized(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

createUninitialized(long) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates an *uninitialized* ndarray of specified length and default ordering.

createUninitialized(long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an *uninitialized* ndarray with the specified shape and default ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.

createUninitialized(long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an *uninitialized* array with the specified shape and ordering.

createUninitialized(long[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

createUninitialized(DataType, long...) - Static method in class org.nd4j.linalg.factory.Nd4j

createUninitialized(DataType, long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an *uninitialized* array with the specified data type, shape and ordering.

createUninitialized(DataType, long[], char, MemoryWorkspace) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

createUninitialized(T, DataType, @lombok.NonNull long[], char) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

createUninitialized(T, DataType, long...) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

createUninitialized(T, DataType, long...) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Create an uninitialized array in the specified array type's workspace (or detached if none is specified).

createUninitialized(T, DataType, long[], char) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Create an uninitialized array in the specified array type's workspace (or detached if none is specified).

createUninitializedDetached(DataType, char, long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an uninitialized ndArray.

createUninitializedDetached(DataType, char, long...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create an uninitialized ndArray.

createUninitializedDetached(DataType, long...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.createUninitializedDetached(DataType, char, long...) with default ordering.

createUpdaterState(FlatBufferBuilder, int, int, int) - Static method in class org.nd4j.graph.UpdaterState

createUpdaterStateKeysVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UpdaterState

createUpdaterStateValuesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UpdaterState

createUpdaterStateVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph

createUShort(long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUShort(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUShort(long, boolean, MemoryWorkspace) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createUtf8Buffer(byte[], long) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

createValue(String, List) - Static method in class org.nd4j.autodiff.samediff.config.ExecutionResult

createValue(String, SDValue) - Static method in class org.nd4j.autodiff.samediff.config.ExecutionResult

createVarControlDepsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode

createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph

createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatInferenceRequest

createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatResult

createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.UIGraphStructure

createView(String, SDVariable, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a newly created variable, with the specified shape and data type.

createView(SDVariable, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a newly created variable, with the specified shape and data type.

createView(INDArray, INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return a newly created variable, with the specified shape and data type.

CreateView - Class in org.nd4j.linalg.api.ops.impl.shape

CreateView() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.CreateView

CreateView(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.CreateView

CreateView(SameDiff, SDVariable, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.CreateView

CreateView(INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.CreateView

CreateView(INDArray, INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.CreateView

CreateWorkerSessionRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CreateWorkerSessionRequest

CreateWorkerSessionRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CreateWorkerSessionRequest

CreateWorkerSessionRequestOrBuilder - Interface in org.tensorflow.distruntime

CreateWorkerSessionResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CreateWorkerSessionResponse

CreateWorkerSessionResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.CreateWorkerSessionResponse

CreateWorkerSessionResponseOrBuilder - Interface in org.tensorflow.distruntime

cReLU(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Concatenates a ReLU which selects only the positive part of the activation with a ReLU which selects only the negative part of the activation.

cReLU(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Concatenates a ReLU which selects only the positive part of the activation with a ReLU which selects only the negative part of the activation.

cReLU(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Concatenates a ReLU which selects only the positive part of the activation with a ReLU which selects only the negative part of the activation.

CReLU - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

CReLU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CReLU

CReLU(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CReLU

CReluBp - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

CReluBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CReluBp

CReluBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CReluBp

CRITICAL_SECTION_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CriticalSectionDef

CriticalSectionDef - Class in org.tensorflow.framework

Protocol buffer representing a CriticalSection.

CriticalSectionDef.Builder - Class in org.tensorflow.framework

Protocol buffer representing a CriticalSection.

CriticalSectionDefOrBuilder - Interface in org.tensorflow.framework

CriticalSectionExecutionDef - Class in org.tensorflow.framework

Protocol buffer representing a CriticalSection execution.

CriticalSectionExecutionDef.Builder - Class in org.tensorflow.framework

Protocol buffer representing a CriticalSection execution.

CriticalSectionExecutionDefOrBuilder - Interface in org.tensorflow.framework

CriticalSectionProtos - Class in org.tensorflow.framework

cropAndResize(String, SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Given an input image and some crop boxes, extract out the image subsets and resize them to the specified size.

cropAndResize(String, SDVariable, SDVariable, SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Given an input image and some crop boxes, extract out the image subsets and resize them to the specified size.

cropAndResize(SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Given an input image and some crop boxes, extract out the image subsets and resize them to the specified size.

cropAndResize(SDVariable, SDVariable, SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Given an input image and some crop boxes, extract out the image subsets and resize them to the specified size.

cropAndResize(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDImage

Given an input image and some crop boxes, extract out the image subsets and resize them to the specified size.

cropAndResize(INDArray, INDArray, INDArray, INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDImage

Given an input image and some crop boxes, extract out the image subsets and resize them to the specified size.

CropAndResize - Class in org.nd4j.linalg.api.ops.impl.image

CropAndResize(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, CropAndResize.Method, double) - Constructor for class org.nd4j.linalg.api.ops.impl.image.CropAndResize

CropAndResize(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.image.CropAndResize

CropAndResize(INDArray, INDArray, INDArray, INDArray, CropAndResize.Method, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.image.CropAndResize

CropAndResize(INDArray, INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.image.CropAndResize

CropAndResize.Method - Enum in org.nd4j.linalg.api.ops.impl.image

CropAndResizeDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor

CropAndResizeDataSetPreProcessor(int, int, int, int, int, int, int, CropAndResizeDataSetPreProcessor.ResizeMethod) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.CropAndResizeDataSetPreProcessor

CropAndResizeDataSetPreProcessor.ResizeMethod - Enum in org.nd4j.linalg.dataset.api.preprocessor

cross(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes pairwise cross product.

cross(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Returns the pair-wise cross product of equal size arrays a and b: a x b = ||a||x||b|| sin(theta).
Can take rank 1 or above inputs (of equal shapes), but note that the last dimension must have dimension 3

cross(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes pairwise cross product.

cross(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Returns the pair-wise cross product of equal size arrays a and b: a x b = ||a||x||b|| sin(theta).
Can take rank 1 or above inputs (of equal shapes), but note that the last dimension must have dimension 3

cross(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Computes pairwise cross product.

cross(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Returns the pair-wise cross product of equal size arrays a and b: a x b = ||a||x||b|| sin(theta).
Can take rank 1 or above inputs (of equal shapes), but note that the last dimension must have dimension 3

cross(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Cross - Class in org.nd4j.linalg.api.ops.impl.shape

Cross(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Cross

Cross(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Cross

Cross(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Cross

Cross(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Cross

CSV - org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.OutputFormat

ctcLoss(String, SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

CTC Loss: Connectionist Temporal Classification Loss.

ctcLoss(SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

CTC Loss: Connectionist Temporal Classification Loss.

ctcLoss(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

CTC Loss: Connectionist Temporal Classification Loss.

CtcLoss - Class in org.nd4j.linalg.api.ops.impl.loss

CtcLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.CtcLoss

CtcLoss(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.CtcLoss

CtcLoss(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.CtcLoss

CtcLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

CtcLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.CtcLossBp

CtcLossBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.CtcLossBp

CTXT_NOT_SET - org.tensorflow.framework.ControlFlowContextDef.CtxtCase

cube(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise cube function: out = x^3

cube(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise cube function: out = x^3

cube(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise cube function: out = x^3

Cube - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Cube(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Cube

Cube(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Cube

Cube(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Cube

Cube(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Cube

CUBE - org.nd4j.linalg.activations.Activation

CubeBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

CubeBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeBp

CubeBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeBp

CubeBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeBp

CubeDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

Deprecated.

CubeDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative

Deprecated.

CubeDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative

Deprecated.

CubeDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative

Deprecated.

CubeDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative

Deprecated.

CUBLAS - org.nd4j.linalg.api.blas.Blas.Vendor

CUDA - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ExecutionerType

CUDA_DEVICE_INFORMATION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

CUDA_DEVICE_MAJOR_VERSION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

CUDA_DEVICE_MINOR_VERSION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

CUDA_DEVICE_NAME_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

CUDA_FREE_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

CUDA_NUM_GPUS_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

CUDA_TOTAL_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

CudnnConv2dNCHWtoNHWCConversion() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.CuDNNFunctionOptimizations.CudnnConv2dNCHWtoNHWCConversion

CuDNNFunctionOptimizations - Class in org.nd4j.autodiff.samediff.optimize.optimizations

CuDNNFunctionOptimizations() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.CuDNNFunctionOptimizations

CuDNNFunctionOptimizations.CudnnConv2dNCHWtoNHWCConversion - Class in org.nd4j.autodiff.samediff.optimize.optimizations

https://docs.nvidia.com/deeplearning/sdk/dl-performance-guide/index.html#tensor-layout For tensor cores: we want NHWC layout: Section 7.3.1 "Layout choice has an effect on performance, as convolutions implemented for Tensor Cores require NHWC layout and are fastest when input tensors are laid out in NHWC." "To maximize performance, we recommend using NHWC tensor layout." As for weights format: cuDNN docs are vague - but TF uses NCHW+OIHW or NHWC+OHWI

cumprod(String, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cumulative product operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a*b, a*b*c]
exclusive=true, reverse=false, [0, a, a*b]
exclusive=false, reverse=true: [a*b*c, b*c, c]
exclusive=true, reverse=true: [b*c, c, 0]

cumprod(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cumulative product operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a*b, a*b*c]
exclusive=true, reverse=false, [0, a, a*b]
exclusive=false, reverse=true: [a*b*c, b*c, c]
exclusive=true, reverse=true: [b*c, c, 0]

cumprod(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cumulative product operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a*b, a*b*c]
exclusive=true, reverse=false, [0, a, a*b]
exclusive=false, reverse=true: [a*b*c, b*c, c]
exclusive=true, reverse=true: [b*c, c, 0]

cumprod(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cumulative product operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a*b, a*b*c]
exclusive=true, reverse=false, [0, a, a*b]
exclusive=false, reverse=true: [a*b*c, b*c, c]
exclusive=true, reverse=true: [b*c, c, 0]

cumprod(INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Cumulative product operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a*b, a*b*c]
exclusive=true, reverse=false, [0, a, a*b]
exclusive=false, reverse=true: [a*b*c, b*c, c]
exclusive=true, reverse=true: [b*c, c, 0]

cumprod(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Cumulative product operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a*b, a*b*c]
exclusive=true, reverse=false, [0, a, a*b]
exclusive=false, reverse=true: [a*b*c, b*c, c]
exclusive=true, reverse=true: [b*c, c, 0]

CumProd - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

CumProd() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

CumProd(SameDiff, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

CumProd(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

CumProd(INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

CumProd(INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

CumProdBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

CumProdBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

CumProdBp(SameDiff, SDVariable, SDVariable, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

CumProdBp(SameDiff, SDVariable, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

CumProdBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

CumProdBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

CumProdBp(INDArray, INDArray, INDArray, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

CumProdBp(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

CumProdBp(INDArray, INDArray, INDArray, boolean, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

CumProdBp(INDArray, INDArray, INDArray, INDArray, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

CumProdBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

cumsum(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

cumsum(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the cumulative sum along a dimension.

cumsum(String, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cumulative sum operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a+b, a+b+c]
exclusive=true, reverse=false, [0, a, a+b]
exclusive=false, reverse=true: [a+b+c, b+c, c]
exclusive=true, reverse=true: [b+c, c, 0]

cumsum(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cumulative sum operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a+b, a+b+c]
exclusive=true, reverse=false, [0, a, a+b]
exclusive=false, reverse=true: [a+b+c, b+c, c]
exclusive=true, reverse=true: [b+c, c, 0]

cumsum(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cumulative sum operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a+b, a+b+c]
exclusive=true, reverse=false, [0, a, a+b]
exclusive=false, reverse=true: [a+b+c, b+c, c]
exclusive=true, reverse=true: [b+c, c, 0]

cumsum(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Cumulative sum operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a+b, a+b+c]
exclusive=true, reverse=false, [0, a, a+b]
exclusive=false, reverse=true: [a+b+c, b+c, c]
exclusive=true, reverse=true: [b+c, c, 0]

cumsum(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.cumsum(int) with Integer.MAX_VALUE for full array reduction.

cumsum(INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Cumulative sum operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a+b, a+b+c]
exclusive=true, reverse=false, [0, a, a+b]
exclusive=false, reverse=true: [a+b+c, b+c, c]
exclusive=true, reverse=true: [b+c, c, 0]

cumsum(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.cumsum(int) with Integer.MAX_VALUE for full array reduction.

cumsum(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Cumulative sum operation.
For input: [ a, b, c], output is:
exclusive=false, reverse=false: [a, a+b, a+b+c]
exclusive=true, reverse=false, [0, a, a+b]
exclusive=false, reverse=true: [a+b+c, b+c, c]
exclusive=true, reverse=true: [b+c, c, 0]

CumSum - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

CumSum() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

CumSum(SameDiff, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

CumSum(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

CumSum(INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

CumSum(INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

CumSumBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

CumSumBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

CumSumBp(SameDiff, SDVariable, SDVariable, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

CumSumBp(SameDiff, SDVariable, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

CumSumBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

CumSumBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

CumSumBp(INDArray, INDArray, INDArray, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

CumSumBp(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

CumSumBp(INDArray, INDArray, INDArray, boolean, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

CumSumBp(INDArray, INDArray, INDArray, INDArray, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

CumSumBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

cumsumi(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

cumsumi(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the cumulative sum along a dimension.

cumulativeProbability(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).

cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).

cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).

cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).

cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).

cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).

cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).

cumulativeProbability(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Deprecated.

As of 3.1. In 4.0, this method will be renamed probability(double x0, double x1).

cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Deprecated.

See RealDistribution.cumulativeProbability(double, double)

cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Deprecated.

See RealDistribution.cumulativeProbability(double, double)

cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Deprecated.

See RealDistribution.cumulativeProbability(double, double)

cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Deprecated.

See RealDistribution.cumulativeProbability(double, double)

cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Deprecated.

See RealDistribution.cumulativeProbability(double, double)

cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

cumulativeProbability(int) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

curr - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

CURRENT_GRAPH_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExtendSessionRequest

CURRENT_WORK_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ReaderBaseState

currentFrame - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStepPredicate

currentFrameIter - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStepPredicate

currentMomentum(int, int) - Method in class org.nd4j.linalg.learning.config.Nesterovs

currentNameScope() - Method in class org.nd4j.autodiff.samediff.SameDiff

currentSize - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

currIterLoss - Variable in class org.nd4j.autodiff.samediff.internal.TrainingSession

currIterRegLoss - Variable in class org.nd4j.autodiff.samediff.internal.TrainingSession

currParentFrame - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStepPredicate

cursor - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

cursor() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

Direct access to a number represenative of iterating through a dataset

Custom - org.nd4j.linalg.dataset.api.preprocessor.PermuteDataSetPreProcessor.PermutationTypes

CUSTOM - org.nd4j.linalg.api.ops.Op.Type

CUSTOM - org.nd4j.linalg.compression.CompressionAlgorithm

CUSTOM - org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

CUSTOM - Static variable in class org.nd4j.graph.OpType

CUSTOM - Static variable in class org.nd4j.graph.UIHistogramType

CUSTOM_OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

CUSTOM_OP_IMPL = 0;

CUSTOM_OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

CUSTOM_OP_IMPL = 0;

CUSTOM_OPTIMIZERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

CustomEvaluation<T> - Class in org.nd4j.evaluation.custom

CustomEvaluation() - Constructor for class org.nd4j.evaluation.custom.CustomEvaluation

CustomEvaluation.Metric<T> - Class in org.nd4j.evaluation.custom

The metric used to get a score for the CustomEvaluation.

CustomOp - Interface in org.nd4j.linalg.api.ops

customOpClassForHashAndName(long, String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

CustomOpDescriptor - Class in org.nd4j.linalg.api.ops

CustomOpDescriptor() - Constructor for class org.nd4j.linalg.api.ops.CustomOpDescriptor

CustomSerializerStrategy<T extends Normalizer> - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer

CustomSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy

cycleAllocations - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

cyclesBeforeInitialization - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

For workspaces with learnable size, this variable defines how many cycles will be spent during learning phase

CycleSchedule - Class in org.nd4j.linalg.schedule

CycleSchedule(ScheduleType, double, double, int, int, double) - Constructor for class org.nd4j.linalg.schedule.CycleSchedule

CycleSchedule(ScheduleType, double, int) - Constructor for class org.nd4j.linalg.schedule.CycleSchedule

cyclesCount - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

CyclicRShiftBits - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

CyclicRShiftBits() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicRShiftBits

CyclicRShiftBits(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicRShiftBits

CyclicRShiftBits(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicRShiftBits

CyclicRShiftBits(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicRShiftBits

CyclicShiftBits - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

CyclicShiftBits() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicShiftBits

CyclicShiftBits(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicShiftBits

CyclicShiftBits(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicShiftBits

CyclicShiftBits(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicShiftBits

D

d(int) - Method in class org.nd4j.graph.FlatProperties

D - org.nd4j.autodiff.listeners.profiler.data.Phase

dArgs() - Method in interface org.nd4j.linalg.api.ops.CustomOp

dArgs() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

dArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

dAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties

dasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dasum(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

data - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

data - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

data() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

data() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a linear double array representation of this ndarray

data(DataSet) - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Set the data to use as input.

data(DataSetIterator) - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

Set the data to evaluate on.

data(DataSetIterator) - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Set the data to use as input.

data(MultiDataSetIterator) - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

Set the data to evaluate on.

data(MultiDataSetIterator) - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Set the data to use as input.

data(MultiDataSet) - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Set the data to use as input.

DATA_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferConstNodeInfo

DATA_LOCATION_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

DATA_LOCATION_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

DATA_LOCATION_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

DATA_LOSS - org.tensorflow.framework.Code

Unrecoverable data loss or corruption.

DATA_LOSS_VALUE - Static variable in enum org.tensorflow.framework.Code

Unrecoverable data loss or corruption.

DATA_TYPE - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

DATA_TYPE = 5;

DATA_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

DATA_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

DATA_TYPE_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

DATA_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

DATA_TYPE_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

DATA_TYPE = 5;

DataBuffer - Interface in org.nd4j.linalg.api.buffer

DataBuffer.AllocationMode - Enum in org.nd4j.linalg.api.buffer

Mainly used for backward compatability.

DataBuffer.TypeEx - Enum in org.nd4j.linalg.api.buffer

DataBufferFactory - Interface in org.nd4j.linalg.api.buffer.factory

dataBufferToArray(DataBuffer) - Static method in class org.nd4j.linalg.cache.TadDescriptor

Obtain the values from the shape buffer for the array

DataFormat - Enum in org.nd4j.enums

Data format: "NCHW" or "NHWC"

DataNormalization - Interface in org.nd4j.linalg.dataset.api.preprocessor

DataSet - Class in org.nd4j.linalg.dataset

DataSet - Interface in org.nd4j.linalg.dataset.api

DataSet() - Constructor for class org.nd4j.linalg.dataset.DataSet

DataSet(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.DataSet

Creates a dataset with the specified input matrix and labels

DataSet(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.DataSet

Create a dataset with the specified input INDArray and labels (output) INDArray, plus (optionally) mask arrays for the features and labels

dataSetBatches(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Deprecated.

prefer DataSet.batchBy(int)

dataSetBatches(int) - Method in class org.nd4j.linalg.dataset.DataSet

Partitions the data transform by the specified number.

DataSetCache - Interface in org.nd4j.linalg.dataset.api.iterator.cache

DataSetCallback - Interface in org.nd4j.linalg.dataset.callbacks

dataSetFeatureMapping(String...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the name of the placeholders/variables that should be set using the feature INDArray(s) from the DataSet or MultiDataSet.

dataSetFeatureMapping(List<String>) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the name of the placeholders/variables that should be set using the feature INDArray(s) from the DataSet or MultiDataSet.

dataSetFeatureMaskMapping(String...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

See TrainingConfig.Builder.dataSetFeatureMaskMapping(List)

dataSetFeatureMaskMapping(List<String>) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the name of the placeholders/variables that should be set using the feature mask INDArray(s) from the DataSet or MultiDataSet.

DataSetFetcher - Interface in org.nd4j.linalg.dataset.api.iterator.fetcher

DataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator

DataSetIteratorFactory - Interface in org.nd4j.linalg.dataset.api.iterator

dataSetLabelMapping(String...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the name of the placeholders/variables that should be set using the labels INDArray(s) from the DataSet or MultiDataSet.

dataSetLabelMapping(List<String>) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the name of the placeholders/variables that should be set using the labels INDArray(s) from the DataSet or MultiDataSet.

dataSetLabelMaskMapping(String...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

See TrainingConfig.Builder.dataSetLabelMaskMapping(List)

dataSetLabelMaskMapping(List<String>) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the name of the placeholders/variables that should be set using the label mask INDArray(s) from the DataSet or MultiDataSet.

DataSetPreProcessor - Interface in org.nd4j.linalg.dataset.api

DataSetUtil - Class in org.nd4j.linalg.dataset.api

DataSetUtil() - Constructor for class org.nd4j.linalg.dataset.api.DataSetUtil

DataSetUtils - Class in org.nd4j.linalg.util

DataSetUtils(SIS, String) - Constructor for class org.nd4j.linalg.util.DataSetUtils

datatype() - Method in class org.nd4j.graph.UIVariable

dataType - Variable in class org.nd4j.autodiff.samediff.SDVariable

dataType - Variable in class org.nd4j.linalg.api.ops.impl.shape.Shape

dataType - Variable in class org.nd4j.linalg.api.ops.impl.shape.ShapeN

dataType - Variable in class org.nd4j.linalg.api.ops.impl.shape.Size

dataType - Variable in class org.nd4j.linalg.api.ops.random.BaseRandomOp

dataType() - Method in class org.nd4j.autodiff.samediff.SDVariable

dataType() - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

dataType() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BaseTensorMapper

dataType() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

The data opType of the buffer

dataType() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

The data opType of the buffer

dataType() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

dataType() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns dtype for this INDArray

dataType() - Method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

dataType() - Static method in class org.nd4j.linalg.factory.Nd4j

Returns the data opType used for the runtime

dataType(long) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

dataType(long[]) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

dataType(String) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DataType - Enum in org.nd4j.linalg.api.buffer

Enum lists supported data types.

DataType - Enum in org.tensorflow.framework

LINT.IfChange

DataTypeAdapter - Class in org.nd4j.imports.descriptors.properties.adapters

DataTypeAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.DataTypeAdapter

DataTypeEx - Enum in org.nd4j.linalg.api.buffer

DataTypeUtil - Class in org.nd4j.linalg.api.buffer.util

DataTypeUtil() - Constructor for class org.nd4j.linalg.api.buffer.util.DataTypeUtil

DataTypeValidation - Class in org.nd4j.linalg.factory

Data opType validation

DataTypeValidation() - Constructor for class org.nd4j.linalg.factory.DataTypeValidation

DATATYPEVALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

daxpy(long, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

daxpy(long, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

DCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

dcopy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dcopy(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

ddot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

ddot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

DEADLINE_EXCEEDED - org.tensorflow.framework.Code

Deadline expired before operation could complete.

DEADLINE_EXCEEDED_VALUE - Static variable in enum org.tensorflow.framework.Code

Deadline expired before operation could complete.

Deallocatable - Interface in org.nd4j.linalg.api.memory

DeallocatableReference - Class in org.nd4j.linalg.api.memory.deallocation

DeallocatableReference(Deallocatable, ReferenceQueue<? super Deallocatable>) - Constructor for class org.nd4j.linalg.api.memory.deallocation.DeallocatableReference

deallocate() - Method in interface org.nd4j.linalg.api.memory.Deallocator

This method does actual deallocation

deallocate() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

deallocate(boolean) - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

deallocator() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

deallocator() - Method in interface org.nd4j.linalg.api.memory.Deallocatable

This method returns deallocator associated with this instance

Deallocator - Interface in org.nd4j.linalg.api.memory

DeallocatorService - Class in org.nd4j.linalg.api.memory.deallocation

DeallocatorService() - Constructor for class org.nd4j.linalg.api.memory.deallocation.DeallocatorService

debug - Variable in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

DEBUG_OPS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebugTensorWatch

DEBUG_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest

DEBUG_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunOptions

DEBUG_STRIPPER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

DEBUG_TENSOR_WATCH_OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebugOptions

DEBUG_URLS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebugTensorWatch

DebugAction - Class in org.nd4j.linalg.env.impl

DebugAction() - Constructor for class org.nd4j.linalg.env.impl.DebugAction

DebuggedSourceFile - Class in org.tensorflow.framework

Protobuf type tensorflow.DebuggedSourceFile

DebuggedSourceFile.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.DebuggedSourceFile

DebuggedSourceFileOrBuilder - Interface in org.tensorflow.framework

DebuggedSourceFiles - Class in org.tensorflow.framework

Protobuf type tensorflow.DebuggedSourceFiles

DebuggedSourceFiles.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.DebuggedSourceFiles

DebuggedSourceFilesOrBuilder - Interface in org.tensorflow.framework

debugMode - Variable in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

DebugMode - Enum in org.nd4j.linalg.api.memory.enums

DebugOptions - Class in org.tensorflow.framework

EXPERIMENTAL.

DebugOptions.Builder - Class in org.tensorflow.framework

EXPERIMENTAL.

DebugOptionsOrBuilder - Interface in org.tensorflow.framework

DebugProtos - Class in org.tensorflow.framework

DebugTensorWatch - Class in org.tensorflow.framework

EXPERIMENTAL.

DebugTensorWatch.Builder - Class in org.tensorflow.framework

EXPERIMENTAL.

DebugTensorWatchOrBuilder - Interface in org.tensorflow.framework

DecodeBitmap - Class in org.nd4j.linalg.api.ops.compression

DecodeBitmap() - Constructor for class org.nd4j.linalg.api.ops.compression.DecodeBitmap

DecodeBitmap(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.compression.DecodeBitmap

DecodeThreshold - Class in org.nd4j.linalg.api.ops.compression

DecodeThreshold() - Constructor for class org.nd4j.linalg.api.ops.compression.DecodeThreshold

DecodeThreshold(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.compression.DecodeThreshold

decompress(DataBuffer, DataType) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Decompress the given databuffer

decompress(DataBuffer, DataType) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

Return a compressed databuffer

decompress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

decompress(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method returns decompressed copy of referenced array

decompressi(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

in place decompression of the given ndarray.

decompressi(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

Inplace decompression of INDArray

deconv2d(String, SDVariable, SDVariable, SDVariable, DeConv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D deconvolution operation with optional bias

deconv2d(String, SDVariable, SDVariable, DeConv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D deconvolution operation with optional bias

deconv2d(SDVariable, SDVariable, SDVariable, DeConv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D deconvolution operation with optional bias

deconv2d(SDVariable, SDVariable, DeConv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D deconvolution operation with optional bias

deconv2d(INDArray, INDArray, INDArray, DeConv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

2D deconvolution operation with optional bias

deconv2d(INDArray, INDArray, DeConv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

2D deconvolution operation with optional bias

DeConv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

DeConv2D(SameDiff, SDVariable, SDVariable, SDVariable, DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

DeConv2D(INDArray, INDArray, INDArray, INDArray, DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

DeConv2D(SameDiff, SDVariable[], DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

DeConv2D(INDArray[], INDArray[], DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

DeConv2D(INDArray, INDArray, INDArray, DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

DeConv2DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config

DeConv2DConfig(long, long, long, long, long, long, long, long, boolean, String) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv2DConfig

DeConv2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

DeConv2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative

DeConv2DDerivative(SameDiff, SDVariable[], DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative

DeConv2DTF - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

DeConv2DTF(SameDiff, SDVariable[], DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

DeConv2DTF(INDArray[], INDArray[], DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

deconv3d(String, SDVariable, SDVariable, SDVariable, DeConv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D CNN deconvolution operation with or without optional bias

deconv3d(String, SDVariable, SDVariable, DeConv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D CNN deconvolution operation with or without optional bias

deconv3d(SDVariable, SDVariable, SDVariable, DeConv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D CNN deconvolution operation with or without optional bias

deconv3d(SDVariable, SDVariable, DeConv3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D CNN deconvolution operation with or without optional bias

deconv3d(INDArray, INDArray, INDArray, DeConv3DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

3D CNN deconvolution operation with or without optional bias

deconv3d(INDArray, INDArray, DeConv3DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

3D CNN deconvolution operation with or without optional bias

DeConv3D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

DeConv3D(INDArray, INDArray, INDArray, INDArray, DeConv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

DeConv3D(SameDiff, SDVariable, SDVariable, DeConv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

DeConv3D(SameDiff, SDVariable, SDVariable, SDVariable, DeConv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

DeConv3D(INDArray[], INDArray[], DeConv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

DeConv3D(INDArray, INDArray, INDArray, DeConv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

DeConv3DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config

DeConv3DConfig(long, long, long, long, long, long, long, long, long, long, long, long, boolean, String) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv3DConfig

DeConv3DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

DeConv3DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

DeConv3DDerivative(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, DeConv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

DeConv3DTF - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

DeConv3DTF(SameDiff, SDVariable, SDVariable, SDVariable, DeConv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

deepCopy(INDArrayIndex[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Deep copy all elements of this array of INDArrayIndex invoking INDArrayIndex.dup() on each entry

DEFAULT - onnx.Onnx.TensorProto.DataLocation

DEFAULT = 0;

DEFAULT - onnx.OnnxMl.TensorProto.DataLocation

DEFAULT = 0;

DEFAULT - org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

DEFAULT = 0;

DEFAULT - org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

Default setting ("off" now, but later expected to be "on")

DEFAULT - org.tensorflow.framework.RewriterConfig.Toggle

DEFAULT = 0;

DEFAULT_ADADELTA_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaDelta

DEFAULT_ADADELTA_RHO - Static variable in class org.nd4j.linalg.learning.config.AdaDelta

DEFAULT_ADAGRAD_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaGrad

DEFAULT_ADAGRAD_EPSILON - Static variable in class org.nd4j.linalg.learning.legacy.AdaGrad

DEFAULT_ADAGRAD_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.AdaGrad

DEFAULT_ADAM_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.Adam

DEFAULT_ADAM_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.Adam

DEFAULT_ADAM_EPSILON - Static variable in class org.nd4j.linalg.learning.config.Adam

DEFAULT_ADAM_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.Adam

DEFAULT_ADAMAX_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.AdaMax

DEFAULT_ADAMAX_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.AdaMax

DEFAULT_ADAMAX_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaMax

DEFAULT_ADAMAX_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.AdaMax

DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.activations.impl.ActivationELU

DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.activations.impl.ActivationLReLU

DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUBp

DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

DEFAULT_AMSGRAD_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.AMSGrad

DEFAULT_AMSGRAD_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.AMSGrad

DEFAULT_AMSGRAD_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AMSGrad

DEFAULT_AMSGRAD_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.AMSGrad

DEFAULT_BETA - Static variable in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure

DEFAULT_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.AdaBelief

DEFAULT_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.AdaBelief

DEFAULT_CLIPPING_EPSILON - Static variable in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

DEFAULT_DEBUG_MODE - Static variable in class org.nd4j.autodiff.validation.GradCheckUtil

DEFAULT_DTYPE - Static variable in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

DEFAULT_DTYPE - Static variable in class org.nd4j.linalg.api.ops.impl.shape.Eye

DEFAULT_DTYPE - Static variable in class org.nd4j.linalg.api.ops.impl.shape.OneHot

DEFAULT_DTYPE - Static variable in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

DEFAULT_DTYPE - Static variable in class org.nd4j.linalg.api.ops.random.impl.Range

DEFAULT_EDGE_VALUE - Static variable in class org.nd4j.evaluation.classification.Evaluation

DEFAULT_EDGE_VALUE - Static variable in class org.nd4j.evaluation.classification.EvaluationBinary

DEFAULT_EPS - Static variable in class org.nd4j.autodiff.validation.GradCheckUtil

DEFAULT_EPSILON - Static variable in class org.nd4j.linalg.api.ops.impl.loss.LogLoss

DEFAULT_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaBelief

DEFAULT_EXIT_FIRST_FAILURE - Static variable in class org.nd4j.autodiff.validation.GradCheckUtil

DEFAULT_FORMAT_PREC - Static variable in class org.nd4j.evaluation.curves.BaseCurve

DEFAULT_GRAPH_INPUT_TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

DEFAULT_GRAPH_OUTPUT_TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

DEFAULT_HISTOGRAM_NUM_BINS - Static variable in class org.nd4j.evaluation.classification.EvaluationCalibration

DEFAULT_ID - Static variable in interface org.nd4j.linalg.api.memory.MemoryWorkspace

DEFAULT_IDX_DTYPE - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique

DEFAULT_IDX_DTYPE - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts

DEFAULT_INCLUSIVE - Static variable in class org.nd4j.linalg.api.ops.impl.shape.CreateView

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Default inverse cumulative probability accuracy.

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Default inverse cumulative probability accuracy.

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Default inverse cumulative probability accuracy.

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Default inverse cumulative probability accuracy.

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Default inverse cumulative probability accuracy.

DEFAULT_L - Static variable in class org.nd4j.linalg.activations.impl.ActivationRReLU

DEFAULT_LABEL_SMOOTHING - Static variable in class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss

DEFAULT_LABEL_SMOOTHING - Static variable in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

DEFAULT_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.AdaBelief

DEFAULT_MAX_PRINT_ELEMENTS - Static variable in class org.nd4j.linalg.string.NDArrayStrings

The default number of elements for printing INDArrays (via NDArrayStrings or INDArray.toString)

DEFAULT_MAX_REL_ERROR - Static variable in class org.nd4j.autodiff.validation.GradCheckUtil

DEFAULT_MEM_OPT - org.tensorflow.framework.RewriterConfig.MemOptType

The default setting (SCHEDULING and SWAPPING HEURISTICS only)

DEFAULT_MEM_OPT_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.MemOptType

The default setting (SCHEDULING and SWAPPING HEURISTICS only)

DEFAULT_MIN_ABS_ERROR - Static variable in class org.nd4j.autodiff.validation.GradCheckUtil

DEFAULT_NADAM_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.Nadam

DEFAULT_NADAM_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.Nadam

DEFAULT_NADAM_EPSILON - Static variable in class org.nd4j.linalg.learning.config.Nadam

DEFAULT_NADAM_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.Nadam

DEFAULT_NESTEROV_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.Nesterovs

DEFAULT_NESTEROV_MOMENTUM - Static variable in class org.nd4j.linalg.learning.config.Nesterovs

DEFAULT_NUM_ITERS - org.tensorflow.framework.RewriterConfig.NumIterationsType

DEFAULT_NUM_ITERS = 0;

DEFAULT_NUM_ITERS_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

DEFAULT_NUM_ITERS = 0;

DEFAULT_PATTERN - Static variable in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

DEFAULT_PRECISION - Static variable in class org.nd4j.evaluation.classification.EvaluationBinary

DEFAULT_PRECISION - Static variable in class org.nd4j.evaluation.regression.RegressionEvaluation

DEFAULT_PRINT - Static variable in class org.nd4j.autodiff.validation.GradCheckUtil

DEFAULT_RELIABILITY_DIAG_NUM_BINS - Static variable in class org.nd4j.evaluation.classification.EvaluationCalibration

DEFAULT_RMSPROP_EPSILON - Static variable in class org.nd4j.linalg.learning.config.RmsProp

DEFAULT_RMSPROP_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.RmsProp

DEFAULT_RMSPROP_RMSDECAY - Static variable in class org.nd4j.linalg.learning.config.RmsProp

DEFAULT_SESSION_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ServerDef

DEFAULT_SGD_LR - Static variable in class org.nd4j.linalg.learning.config.Sgd

DEFAULT_STATS_PRECISION - Static variable in class org.nd4j.evaluation.classification.ROCBinary

DEFAULT_STATS_PRECISION - Static variable in class org.nd4j.evaluation.classification.ROCMultiClass

DEFAULT_SWITCHNUM - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

DEFAULT_THETA - Static variable in class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU

DEFAULT_U - Static variable in class org.nd4j.linalg.activations.impl.ActivationRReLU

DEFAULT_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataLocation

DEFAULT = 0;

DEFAULT_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataLocation

DEFAULT = 0;

DEFAULT_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

DEFAULT = 0;

DEFAULT_VALUE - Static variable in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

Default setting ("off" now, but later expected to be "on")

DEFAULT_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.Toggle

DEFAULT = 0;

DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Attr

DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef

DEFAULT_VISIBILITY - org.tensorflow.framework.ApiDef.Visibility

Normally this is "VISIBLE" unless you are inheriting a different value from another ApiDef.

DEFAULT_VISIBILITY_VALUE - Static variable in enum org.tensorflow.framework.ApiDef.Visibility

Normally this is "VISIBLE" unless you are inheriting a different value from another ApiDef.

defaultAt() - Static method in class org.nd4j.autodiff.listeners.At

defaultAt(Operation) - Static method in class org.nd4j.autodiff.listeners.At

DefaultCallback - Class in org.nd4j.linalg.dataset.callbacks

DefaultCallback() - Constructor for class org.nd4j.linalg.dataset.callbacks.DefaultCallback

defaultCompression - Variable in class org.nd4j.linalg.compression.BasicNDArrayCompressor

defaultConfiguration - Variable in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

DefaultConvolutionInstance - Class in org.nd4j.linalg.convolution

DefaultConvolutionInstance() - Constructor for class org.nd4j.linalg.convolution.DefaultConvolutionInstance

DefaultDistributionFactory - Class in org.nd4j.linalg.api.rng.distribution.factory

DefaultDistributionFactory() - Constructor for class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

defaultFloatingPointType() - Static method in class org.nd4j.linalg.factory.Nd4j

DefaultInferenceFactory() - Constructor for class org.nd4j.autodiff.samediff.SameDiff.DefaultInferenceFactory

DefaultOpExecutioner - Class in org.nd4j.linalg.api.ops.executioner

DefaultOpExecutioner() - Constructor for class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

defaultOptimizations() - Static method in class org.nd4j.autodiff.samediff.optimize.GraphOptimizer

DefaultRandom - Class in org.nd4j.linalg.api.rng

DefaultRandom() - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom

Initialize with a System.currentTimeMillis() seed

DefaultRandom(long) - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom

DefaultRandom(RandomGenerator) - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom

DefaultSameDiffConditional - Class in org.nd4j.autodiff.samediff.impl

DefaultSameDiffConditional() - Constructor for class org.nd4j.autodiff.samediff.impl.DefaultSameDiffConditional

DEFERRED_DELETION_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions

DEFERRED_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation

define(SameDiff) - Method in interface org.nd4j.autodiff.samediff.SameDiffNoArgSingleLambda

define(SameDiff, Map<String, INDArray>, SDVariable[]) - Method in interface org.nd4j.autodiff.samediff.SameDiffFunctionDefinition

define(SameDiff, SDVariable[]) - Method in interface org.nd4j.autodiff.samediff.SameDiffLambda

define(SameDiff, SDVariable[]) - Method in interface org.nd4j.autodiff.samediff.SameDiffSingleLambda

definedFunctionNames() - Method in class org.nd4j.autodiff.samediff.SameDiff

The set of defined SameDiff function names.

defineDimensions(int...) - Method in class org.nd4j.linalg.api.ops.BaseOp

defineFunction(String, SameDiffFunctionDefinition) - Method in class org.nd4j.autodiff.samediff.SameDiff

defineFunction(String, SameDiffFunctionDefinition, Map<String, INDArray>) - Method in class org.nd4j.autodiff.samediff.SameDiff

defineFunction(String, SameDiffFunctionDefinition, SDVariable[]) - Method in class org.nd4j.autodiff.samediff.SameDiff

defineLoss(SameDiff, SDVariable, SDVariable) - Method in class org.nd4j.linalg.lossfunctions.SameDiffLoss

Define the loss function.
NOTE: The score on a *per example* basis - should return a SDVariable with shape [minibatch], where out[i] is the score for the ith minibatch

delayedArray - Variable in class org.nd4j.linalg.util.DeviceLocal

delayedMode - Variable in class org.nd4j.linalg.util.DeviceLocal

deleteExisting(boolean) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

If the checkpoint listener is set to save to a non-empty directory, should the CheckpointListener-related content be deleted?
This is disabled by default (and instead, an exception will be thrown if existing data is found)
WARNING: Be careful when enabling this, as it deletes all saved checkpoint models in the specified directory!

DeleteWorkerSessionRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.DeleteWorkerSessionRequest

DeleteWorkerSessionRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.DeleteWorkerSessionRequest

DeleteWorkerSessionRequestOrBuilder - Interface in org.tensorflow.distruntime

DeleteWorkerSessionResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.DeleteWorkerSessionResponse

DeleteWorkerSessionResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.DeleteWorkerSessionResponse

DeleteWorkerSessionResponseOrBuilder - Interface in org.tensorflow.distruntime

DENOTATION_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorShapeProto.Dimension

DENOTATION_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto

DENOTATION_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorShapeProto.Dimension

DENOTATION_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto

DENSE - org.nd4j.linalg.api.shape.options.ArrayType

DENSE_SHAPE_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorInfo.CooSparse

DenseNetwork - org.nd4j.linalg.heartbeat.reports.Task.NetworkType

density(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

Dep() - Constructor for class org.nd4j.autodiff.samediff.internal.InferenceSession.Dep

DependencMapLinkedHash<K,V> - Class in org.nd4j.autodiff.samediff.internal

DependencMapLinkedHash() - Constructor for class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

DEPENDENCY_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

DependencyList<T,D> - Class in org.nd4j.autodiff.samediff.internal

DependencyList() - Constructor for class org.nd4j.autodiff.samediff.internal.DependencyList

DependencyMap<K extends IDependeeGroup<INDArray>,V> - Class in org.nd4j.autodiff.samediff.internal.memory

DependencyMap() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

DependencyMapIdentity<K,V> - Class in org.nd4j.autodiff.samediff.internal

DependencyMapIdentity() - Constructor for class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

DependencyTracker<T,D> - Class in org.nd4j.autodiff.samediff.internal

DependencyTracker() - Constructor for class org.nd4j.autodiff.samediff.internal.DependencyTracker

DEPRECATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

DEPRECATION_MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Endpoint

depthToSpace(String, SDVariable, int, DataFormat) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 2d layer batch to space operation on 4d input.
Reduces input channels dimension by rearranging data into a larger spatial dimensions
Example: if input has shape [mb, 8, 2, 2] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2]
= [mb, 2, 4, 4]

depthToSpace(SDVariable, int, DataFormat) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 2d layer batch to space operation on 4d input.
Reduces input channels dimension by rearranging data into a larger spatial dimensions
Example: if input has shape [mb, 8, 2, 2] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2]
= [mb, 2, 4, 4]

depthToSpace(INDArray, int, DataFormat) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Convolution 2d layer batch to space operation on 4d input.
Reduces input channels dimension by rearranging data into a larger spatial dimensions
Example: if input has shape [mb, 8, 2, 2] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2]
= [mb, 2, 4, 4]

DepthToSpace - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

DepthToSpace() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

DepthToSpace(SameDiff, SDVariable[], int, DataFormat) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

DepthToSpace(SameDiff, SDVariable, int, DataFormat) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

DepthToSpace(INDArray, int, DataFormat) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

DepthToSpace(INDArray, INDArray, int, DataFormat) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

depthWiseConv2d(String, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Depth-wise 2D convolution operation with optional bias

depthWiseConv2d(String, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Depth-wise 2D convolution operation with optional bias

depthWiseConv2d(SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Depth-wise 2D convolution operation with optional bias

depthWiseConv2d(SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Depth-wise 2D convolution operation with optional bias

depthWiseConv2d(INDArray, INDArray, INDArray, Conv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Depth-wise 2D convolution operation with optional bias

depthWiseConv2d(INDArray, INDArray, Conv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Depth-wise 2D convolution operation with optional bias

DepthwiseConv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

DepthwiseConv2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

DepthwiseConv2D(SameDiff, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

DepthwiseConv2D(INDArray, INDArray, INDArray, INDArray, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

DepthwiseConv2D(SameDiff, SDVariable[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

DepthwiseConv2D(INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

DepthwiseConv2D(INDArray, INDArray, INDArray, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

DepthwiseConv2DBp - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

DepthwiseConv2DBp(SameDiff, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

DepthwiseConv2DBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

DeregisterGraphRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.DeregisterGraphRequest

DeregisterGraphRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.DeregisterGraphRequest

DeregisterGraphRequestOrBuilder - Interface in org.tensorflow.distruntime

DeregisterGraphResponse - Class in org.tensorflow.distruntime

TODO(mrry): Optionally add summary stats for the graph.

DeregisterGraphResponse.Builder - Class in org.tensorflow.distruntime

TODO(mrry): Optionally add summary stats for the graph.

DeregisterGraphResponseOrBuilder - Interface in org.tensorflow.distruntime

derivedId(long) - Method in class org.nd4j.linalg.heartbeat.Heartbeat

DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Arg

DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Attr

DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef

DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef

DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

DESCRIPTION_PREFIX_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

DESCRIPTION_SUFFIX_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

descriptorForOpName(String) - Static method in class org.nd4j.ir.OpDescriptorHolder

Return the OpNamespace.OpDescriptor for a given op name

DESCRIPTORS - Static variable in class org.nd4j.imports.descriptors.tensorflow.TensorflowDescriptorParser

deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.evaluation.serde.ConfusionMatrixDeserializer

deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.linalg.lossfunctions.serde.RowVectorDeserializer

Deprecated.

deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.serde.jackson.shaded.NDArrayDeSerializer

deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.serde.jackson.shaded.NDArrayTextDeSerializer

deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.serde.json.BaseLegacyDeserializer

deserialize(JsonNode) - Method in class org.nd4j.serde.jackson.shaded.NDArrayTextDeSerializer

DESTINATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo

destroy() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

destroy() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

release all resources for this buffer

destroyAllWorkspacesForCurrentThread() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method destroys & deallocates all Workspaces for a calling Thread PLEASE NOTE: This method is NOT safe

destroyAllWorkspacesForCurrentThread() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method destroys all workspaces allocated in current thread

destroyWorkspace() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method causes Workspace destruction: all memory allocations are released after this call.

destroyWorkspace() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

destroyWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method causes Workspace destruction: all memory allocations are released after this call.

destroyWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method destroys current Workspace for current Thread

destroyWorkspace() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method destroy default workspace, if any

destroyWorkspace(boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

destroyWorkspace(boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method basically deallocates workspace memory

destroyWorkspace(boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

destroyWorkspace(MemoryWorkspace) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method allows you to destroy given Workspace

destroyWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method destroys given workspace

detach() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

detach() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method detaches INDArray from Workspace, returning copy.

detach() - Method in interface org.nd4j.linalg.dataset.api.DataSet

This method detaches this DataSet from current Workspace (if any)

detach() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

This method detaches this MultiDataSet from current Workspace (if any)

detach() - Method in class org.nd4j.linalg.dataset.DataSet

detach() - Method in class org.nd4j.linalg.dataset.MultiDataSet

This method migrates this DataSet into current Workspace (if any)

DEV_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.StepStats

device() - Method in class org.nd4j.graph.FlatNode

device() - Method in class org.nd4j.graph.FlatVariable

DEVICE - org.nd4j.linalg.api.concurrency.AffinityManager.Location

DEVICE - org.nd4j.linalg.api.memory.enums.MemoryKind

DEVICE_ATTRIBUTES_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.GetStatusResponse

DEVICE_ATTRIBUTES_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

DEVICE_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceStepStats

DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeDef

DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto

DEVICE_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.Operation

DEVICE_FILTERS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ResetRequest

DEVICE_FILTERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

DEVICE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.InterconnectLink

DEVICE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupRequest

DEVICE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupResponse

DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryStats

DEVICE_PERSISTENT_TENSOR_ALLOC_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryStats

DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryStats

DEVICE_TO_DEVICE - org.nd4j.linalg.api.memory.MemcpyDirection

DEVICE_TO_HOST - org.nd4j.linalg.api.memory.MemcpyDirection

DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupRequest

DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupResponse

DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes

DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef

DeviceAllocationsTracker - Class in org.nd4j.linalg.api.memory

DeviceAllocationsTracker() - Constructor for class org.nd4j.linalg.api.memory.DeviceAllocationsTracker

DeviceAttributes - Class in org.tensorflow.framework

Protobuf type tensorflow.DeviceAttributes

DeviceAttributes.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.DeviceAttributes

DeviceAttributesOrBuilder - Interface in org.tensorflow.framework

DeviceAttributesProtos - Class in org.tensorflow.framework

deviceId - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

deviceId - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

deviceId - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

DeviceLocal<T> - Class in org.nd4j.linalg.util

DeviceLocal(boolean) - Constructor for class org.nd4j.linalg.util.DeviceLocal

DeviceLocality - Class in org.tensorflow.framework

Protobuf type tensorflow.DeviceLocality

DeviceLocality.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.DeviceLocality

DeviceLocalityOrBuilder - Interface in org.tensorflow.framework

DeviceLocalNDArray - Class in org.nd4j.linalg.util

DeviceLocalNDArray() - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray

DeviceLocalNDArray(boolean) - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray

DeviceLocalNDArray(INDArray) - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray

DeviceLocalNDArray(INDArray, boolean) - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray

deviceOffset - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

DevicePropertiesProtos - Class in tensorflow

DevicePropertiesProtos.DeviceProperties - Class in tensorflow

Protobuf type tensorflow.DeviceProperties

DevicePropertiesProtos.DeviceProperties.Builder - Class in tensorflow

Protobuf type tensorflow.DeviceProperties

DevicePropertiesProtos.DevicePropertiesOrBuilder - Interface in tensorflow

DevicePropertiesProtos.NamedDevice - Class in tensorflow

Protobuf type tensorflow.NamedDevice

DevicePropertiesProtos.NamedDevice.Builder - Class in tensorflow

Protobuf type tensorflow.NamedDevice

DevicePropertiesProtos.NamedDeviceOrBuilder - Interface in tensorflow

DeviceStepStats - Class in org.tensorflow.framework

Protobuf type tensorflow.DeviceStepStats

DeviceStepStats.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.DeviceStepStats

DeviceStepStatsOrBuilder - Interface in org.tensorflow.framework

DF_2DP - Static variable in class org.nd4j.autodiff.listeners.impl.ScoreListener

DF_2DP_SCI - Static variable in class org.nd4j.autodiff.listeners.impl.ScoreListener

DF_5DP - Static variable in class org.nd4j.autodiff.listeners.impl.ScoreListener

DF_5DP_SCI - Static variable in class org.nd4j.autodiff.listeners.impl.ScoreListener

dgbmv(char, char, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dgemm(char, char, char, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dgemv(char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dgeqrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

dger(char, int, int, double, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dgesvd(byte, byte, int, int, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

dgetrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

diag(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates diagonal tensor.

diag(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Returns an output variable with diagonal values equal to the specified values; off-diagonal values will be set to 0
For example, if input = [1,2,3], then output is given by:
[ 1, 0, 0]
[ 0, 2, 0]
[ 0, 0, 3]

Higher input ranks are also supported: if input has shape [a,...,R-1] then output[i,...,k,i,...,k] = input[i,...,k].
i.e., for input rank R, output has rank 2R

diag(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates diagonal tensor.

diag(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Returns an output variable with diagonal values equal to the specified values; off-diagonal values will be set to 0
For example, if input = [1,2,3], then output is given by:
[ 1, 0, 0]
[ 0, 2, 0]
[ 0, 0, 3]

Higher input ranks are also supported: if input has shape [a,...,R-1] then output[i,...,k,i,...,k] = input[i,...,k].
i.e., for input rank R, output has rank 2R

diag(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a new matrix where the values of the given vector are the diagonal values of the matrix if a vector is passed in, if a matrix is returns the kth diagonal in the matrix

diag(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Calculates diagonal tensor.

diag(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Returns an output variable with diagonal values equal to the specified values; off-diagonal values will be set to 0
For example, if input = [1,2,3], then output is given by:
[ 1, 0, 0]
[ 0, 2, 0]
[ 0, 0, 3]

Higher input ranks are also supported: if input has shape [a,...,R-1] then output[i,...,k,i,...,k] = input[i,...,k].
i.e., for input rank R, output has rank 2R

Diag - Class in org.nd4j.linalg.api.ops.impl.shape

Diag(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Diag

Diag(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Diag

Diag(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Diag

Diag(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Diag

diag_part(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates diagonal tensor.

diag_part(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates diagonal tensor.

diag_part(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Calculates diagonal tensor.

diagPart(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Extract the diagonal part from the input array.
If input is
[ 1, 0, 0]
[ 0, 2, 0]
[ 0, 0, 3]
then output is [1, 2, 3].
Supports higher dimensions: in general, out[i,...,k] = in[i,...,k,i,...,k]

diagPart(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Extract the diagonal part from the input array.
If input is
[ 1, 0, 0]
[ 0, 2, 0]
[ 0, 0, 3]
then output is [1, 2, 3].
Supports higher dimensions: in general, out[i,...,k] = in[i,...,k,i,...,k]

diagPart(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Extract the diagonal part from the input array.
If input is
[ 1, 0, 0]
[ 0, 2, 0]
[ 0, 0, 3]
then output is [1, 2, 3].
Supports higher dimensions: in general, out[i,...,k] = in[i,...,k,i,...,k]

DiagPart - Class in org.nd4j.linalg.api.ops.impl.shape

DiagPart() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.DiagPart

DiagPart(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.DiagPart

DiagPart(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.DiagPart

DiagPart(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.DiagPart

DiagPart(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.DiagPart

DICT - org.nd4j.autodiff.samediff.config.SDValueType

diff(List<SDVariable>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Perform automatic differentiation wrt the input variables

DifferentialFunction - Class in org.nd4j.autodiff.functions

DifferentialFunction() - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction

DifferentialFunction(boolean) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction

DifferentialFunction(SameDiff, boolean, Object[]) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction

DifferentialFunction(SameDiff, boolean, SDVariable[]) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction

Add the various arguments for this function

DifferentialFunction(SameDiff, Object[]) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction

DifferentialFunction(SameDiff, Onnx.NodeProto, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction

Initialize the function from the given Onnx.NodeProto

DifferentialFunction(SameDiff, SDVariable[]) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction

DifferentialFunction(SameDiff, NodeDef, Map<String, AttrValue>, GraphDef) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction

Initialize the function from the given NodeDef

DifferentialFunctionClassHolder - Class in org.nd4j.imports.converters

Digamma - Class in org.nd4j.linalg.api.ops.custom

Digamma(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Digamma

Digamma(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Digamma

dilation2D(String, SDVariable, SDVariable, int[], int[], boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

TODO doc string

dilation2D(SDVariable, SDVariable, int[], int[], boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

TODO doc string

dilation2D(INDArray, INDArray, int[], int[], boolean) - Method in class org.nd4j.linalg.factory.ops.NDCNN

TODO doc string

Dilation2D - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Dilation2D() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

Dilation2D(SameDiff, SDVariable[], int[], int[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

Dilation2D(SameDiff, SDVariable, SDVariable, int[], int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

Dilation2D(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

Dilation2D(INDArray, INDArray, int[], int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

DIM_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorShapeProto

DIM_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorShapeProto

DIM_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorShapeProto

DIM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorShapeProto

DIM_PARAM - onnx.Onnx.TensorShapeProto.Dimension.ValueCase

DIM_PARAM - onnx.OnnxMl.TensorShapeProto.Dimension.ValueCase

DIM_PARAM - org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase

DIM_PARAM_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorShapeProto.Dimension

DIM_PARAM_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorShapeProto.Dimension

DIM_PARAM_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

DIM_VALUE - onnx.Onnx.TensorShapeProto.Dimension.ValueCase

DIM_VALUE - onnx.OnnxMl.TensorShapeProto.Dimension.ValueCase

DIM_VALUE - org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase

DIM_VALUE_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorShapeProto.Dimension

DIM_VALUE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorShapeProto.Dimension

DIM_VALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

dimension - Variable in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

dimension - Variable in class org.nd4j.linalg.api.ops.BaseBroadcastOp

dimension - Variable in class org.nd4j.linalg.api.ops.impl.loss.CosineDistanceLoss

dimensions - Variable in class org.nd4j.autodiff.functions.DifferentialFunction

dimensions - Variable in class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

dimensions - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

dimensions() - Method in class org.nd4j.linalg.api.ops.BaseOp

dimensions() - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp

dimensions() - Method in interface org.nd4j.linalg.api.ops.BroadcastOp

dimensions() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation

This method returns dimensions for this op

dimensions() - Method in interface org.nd4j.linalg.api.ops.ReduceOp

This method returns dimensions for this op

dimensions() - Method in interface org.nd4j.linalg.api.ops.ScalarOp

This method returns target dimensions for this op

dimensions(int) - Method in class org.nd4j.graph.FlatNode

dimensionsAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

dimensionsInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

dimensionsLength() - Method in class org.nd4j.graph.FlatNode

dimensionsVector() - Method in class org.nd4j.graph.FlatNode

dimensionsVector(IntVector) - Method in class org.nd4j.graph.FlatNode

dimensionVariable - Variable in class org.nd4j.linalg.api.ops.BaseReduceOp

dimensionz - Variable in class org.nd4j.linalg.api.ops.BaseOp

DIMS_FIELD_NUMBER - Static variable in class onnx.Onnx.SparseTensorProto

DIMS_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

DIMS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.SparseTensorProto

DIMS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

DIMS_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

dimShuffle(Object[], int[], boolean[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Deprecated.

dimShuffle(Object[], int[], boolean[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Dimshuffle: an extension of permute that adds the ability to broadcast various dimensions.

dimShuffle(Object[], long[], boolean[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Dimshuffle: an extension of permute that adds the ability to broadcast various dimensions.

dimShuffle(Object[], long[], boolean[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

See INDArray.dimShuffle(Object[], int[], boolean[])

dInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatProperties

dir - Variable in class org.nd4j.autodiff.listeners.debugging.ArraySavingListener

DIRECT - org.nd4j.ir.MapperNamespace.VariableResolutionType

DIRECT = 0;

DIRECT - org.nd4j.linalg.api.buffer.DataBuffer.AllocationMode

Deprecated.

DIRECT_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

DIRECT = 0;

directExecHelper(Map<String, INDArray>, Map<String, SDValue>, At, MultiDataSet, Collection<String>, List<Listener>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for the given variables for a single batch, with training information

directExecHelper(Map<String, INDArray>, At, MultiDataSet, Collection<String>, List<Listener>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for the given variables for a single batch, with training information

direction() - Method in class org.nd4j.graph.FlatConfiguration

Direction - Class in org.nd4j.graph

dirty() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Deprecated.

dirty() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Whether the buffer is dirty: aka has been updated

DISABLE_MODEL_PRUNING_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

DISABLE_RPC_LOGGING_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LoggingRequest

DISABLED - org.nd4j.linalg.api.memory.enums.DebugMode

Default mode, means that workspaces work in production mode

DISABLED - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

disabledCounter - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

disableDebugging() - Method in class org.nd4j.autodiff.samediff.SameDiff

Clears debugging state and disables debug mode.

disableEagerMode() - Method in class org.nd4j.autodiff.samediff.SameDiff

Disables eager mode.

disableHeartbeat() - Method in class org.nd4j.linalg.heartbeat.Heartbeat

DISCRETE - Static variable in class org.nd4j.graph.UIHistogramType

DISPLAY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata

distance1(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

distance1(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the (1-norm) distance.

distance2(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

distance2(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the (euclidean) distance.

DistributedINDArray - Interface in org.nd4j.linalg.api.concurrency

DistributedRuntimeProtos - Class in org.tensorflow.distruntime

Distribution - Interface in org.nd4j.linalg.api.rng.distribution

A probability distribution

DISTRIBUTION - org.nd4j.weightinit.WeightInit

DISTRIBUTION - Static variable in class org.nd4j.linalg.factory.Nd4j

DistributionFactory - Interface in org.nd4j.linalg.api.rng.distribution.factory

DistributionInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weights based on a given Distribution

DistributionInitScheme(char, Distribution) - Constructor for class org.nd4j.weightinit.impl.DistributionInitScheme

DistributionStats - Class in org.nd4j.linalg.dataset.api.preprocessor.stats

DistributionStats(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats

DistributionStats.Builder - Class in org.nd4j.linalg.dataset.api.preprocessor.stats

DynamicCustomOpsBuilder class that can incrementally update a running mean and variance in order to create statistics for a large set of data

DistributionUniform - Class in org.nd4j.linalg.api.ops.random.custom

DistributionUniform() - Constructor for class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

DistributionUniform(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

DistributionUniform(SameDiff, SDVariable, double, double, DataType) - Constructor for class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

DistributionUniform(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

DistributionUniform(INDArray, INDArray, double, double, DataType) - Constructor for class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

div(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.div(String,double)

div(Number) - Method in class org.nd4j.autodiff.listeners.Loss

div(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

div(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Division by a number

div(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

div(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Division if ndarray by number

div(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Scalar division: out = this / scalar
Output variable has the same shape as the input variable

div(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Division operation: elementwise this / x
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.

div(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar division operation, out = in / scalar

div(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise division operation, out = x / y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

div(Loss, Number) - Static method in class org.nd4j.autodiff.listeners.Loss

div(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.div(String, SDVariable)

div(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar division operation, out = in / scalar

div(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise division operation, out = x / y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

div(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

div(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Copy (element wise) division of two NDArrays

div(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Scalar division operation, out = in / scalar

div(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

div(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

copy (element wise) division of two NDArrays

div(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise division operation, out = x / y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

div(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast divide op.

DIV - org.nd4j.enums.PartitionMode

DivBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

DivBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.DivBpOp

DivBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.DivBpOp

divColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Division of a column vector (copy)

DIVERGENT_OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

DIVERGENT_OP_IMPL = 6;

DIVERGENT_OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

DIVERGENT_OP_IMPL = 6;

divi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place scalar division

divi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place division of this ndarray

divi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) division of two NDArrays

divi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) division of two NDArrays

diviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

diviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place division of a column vector

DIVIDE - org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate.UpdateOp

divideBy(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Divide the features by a scalar

divideBy(int) - Method in class org.nd4j.linalg.dataset.DataSet

DivideNoNan - Class in org.nd4j.linalg.api.ops.custom

DivideNoNan() - Constructor for class org.nd4j.linalg.api.ops.custom.DivideNoNan

DivideNoNan(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.DivideNoNan

DivideNoNan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.DivideNoNan

DivideNoNan(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.DivideNoNan

diviRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

diviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place division of a row vector

DivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

Division operation

DivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

DivOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

DivOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

DivOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

DivOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

divRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Division of a row vector (copy)

dLength() - Method in class org.nd4j.graph.FlatProperties

DMA_OK_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest

dnrm2(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

DO_COMMON_SUBEXPRESSION_ELIMINATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OptimizerOptions

DO_CONSTANT_FOLDING_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OptimizerOptions

DO_FUNCTION_INLINING_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OptimizerOptions

DO_NOT_USE_RESERVED_FOR_FUTURE_EXPANSION_USE_DEFAULT_IN_SWITCH_INSTEAD_ - org.tensorflow.framework.Code

An extra enum entry to prevent people from writing code that fails to compile when a new code is added.

DO_NOT_USE_RESERVED_FOR_FUTURE_EXPANSION_USE_DEFAULT_IN_SWITCH_INSTEAD__VALUE - Static variable in enum org.tensorflow.framework.Code

An extra enum entry to prevent people from writing code that fails to compile when a new code is added.

doByteBufferPutCompressed(INDArray, ByteBuffer, boolean) - Static method in class org.nd4j.serde.binary.BinarySerde

Setup the given byte buffer for serialization (note that this is for compressed INDArrays) 4 bytes for rank 4 bytes for data opType shape information codec information data opType

doByteBufferPutUnCompressed(INDArray, ByteBuffer, boolean) - Static method in class org.nd4j.serde.binary.BinarySerde

Setup the given byte buffer for serialization (note that this is for uncompressed INDArrays) 4 bytes int for rank 4 bytes for data opType shape buffer data buffer

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.Onnx.FunctionProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.Onnx.GraphProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.Onnx.NodeProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.Onnx.ValueInfoProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMl.FunctionProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMl.GraphProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMl.NodeProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ValueInfoProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorProto

DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorSetProto

DOC_STRING_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

DOC_STRING_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.ValueInfoProto

doColumnWise(INDArray, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Do a row wise op (a,s,m,d) a : add s : subtract m : multiply d : divide h : reverse subtraction t : reverse division

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.BaseWeightInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.ConstantInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.DistributionInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.IdentityInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.LecunUniformInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.OneInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.ReluInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.ReluUniformInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.SigmoidUniformInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.UniformInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalFanAvgInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalFanInInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalFanOutInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalUniformFanInInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalUniformFanOutInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingUniformFanAvgInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.XavierFanInInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.XavierInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.XavierUniformInitScheme

doCreate(DataType, long[], INDArray) - Method in class org.nd4j.weightinit.impl.ZeroInitScheme

doDiff(List<SDVariable>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The actual implementation for automatic differentiation.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.custom.DivideNoNan

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.custom.Eig

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.custom.Flatten

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.custom.FusedBatchNorm

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.custom.Triu

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.StopGradient

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.image.CropAndResize

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeNearestNeighbor

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3DDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRU

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlock

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.AbsoluteDifferenceLossBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.CtcLossBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.MeanPairwiseSquaredErrorLossBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyWithLogitsLossBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SparseSoftmaxCrossEntropyLossWithLogitsBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.CosineDistanceLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.CtcLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.HingeLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.HuberLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.L2Loss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.LogLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.MeanPairwiseSquaredErrorLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.MeanSquaredErrorLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.All

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.MmulBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Moments

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Max

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Min

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.SufficientStatistics

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.ZeroFraction

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.Dot

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.LogX

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.Pow

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.PowDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.PRelu

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinearDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.Relu6

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.Step

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Create

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Cross

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MeshGrid

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesAs

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ReductionShape

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SetShape

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ShapeN

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Size

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SizeAt

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Angle

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.Assign

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assert

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinCount

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsFinite

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsInf

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsNaN

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.CheckNumerics

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cholesky

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByAvgNorm

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpaceND

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseAnd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseOr

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseXor

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CReLU

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicRShiftBits

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicShiftBits

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttention

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttentionBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InTopK

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNonDecreasing

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNumericTensor

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsStrictlyIncreasing

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ListDiff

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalAnd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalNot

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalOr

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalXor

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogMatrixDeterminant

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDeterminant

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiag

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiagPart

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixInverse

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixSetDiag

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttentionBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Pow

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.RShiftBits

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ShiftBits

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ThresholdRelu

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Trace

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.XwPlusB

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Zeta

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.SqrtM

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative

Deprecated.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.EluBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative

Deprecated.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative

Deprecated.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.PReluBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative

Deprecated.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative

Deprecated.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SeluBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftPlusBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative

Deprecated.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.ThresholdReluBp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.HistogramFixedWidth

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.NthElement

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pad

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.BaseArithmeticBackpropOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorDivOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RealDivOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Not

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReluLayer

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Cube

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Floor

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Max

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Min

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Negative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.OneMinus

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Reciprocal

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Round

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Square

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.TimesOneMinus

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSqrtN

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erf

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erfc

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Exp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Expm1

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log1p

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.LogSigmoid

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Mish

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Rint

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanDerivative

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative

Deprecated.

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.NoOp

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomExponential

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomNormal

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.Choice

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.RandomMultinomial

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.Range

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

doDiff(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Static method in class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

doExec(DifferentialFunction, OpContext, FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>, Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession

doInvoke(DifferentialFunction, Map<String, INDArray>, Map<String, SDValue>) - Static method in class org.nd4j.linalg.api.ops.custom.Invoke

Perform the invoke method.

DOMAIN_FIELD_NUMBER - Static variable in class onnx.Onnx.FunctionProto

DOMAIN_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

DOMAIN_FIELD_NUMBER - Static variable in class onnx.Onnx.NodeProto

DOMAIN_FIELD_NUMBER - Static variable in class onnx.Onnx.OperatorSetIdProto

DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxMl.FunctionProto

DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxMl.NodeProto

DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxMl.OperatorSetIdProto

DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.Opaque

DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorSetProto

donotMaskAllMajorityWindows() - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor

If a tbptt segment is all majority class labels default behaviour is to mask all time steps in the segment.

donotMaskMinorityWindows() - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor

If set will not mask timesteps if they fall in a tbptt segment with at least one minority class label

doPermuteSwap(long[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

doPermuteSwap(IntBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Deprecated.

doPermuteSwap(LongBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Deprecated.

doPermuteSwap(DataBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Deprecated.

doReadObject(ObjectInputStream) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

doRowWise(INDArray, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Do a row wise op (a,s,m,d) a : add s : subtract m : multiply d : divide h : reverse subtraction t : reverse division

dot(long, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes a vector-vector dot product.

dot(long, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes a vector-vector dot product.

dot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1

Vector-vector dot product

dot(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Matrix dot product: out = dot(this,other, dimensions)

dot(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Pairwise dot product reduction along dimension
output = sum(i=0 ...

dot(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.dot(String, SDVariable, int...)

dot(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Pairwise dot product reduction along dimension
output = sum(i=0 ...

dot(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

dot(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute x^T * y (dot product)

dot(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Dot product, new INDArray instance will be returned.
Note that the Nd4J design is different from Numpy.

dot(INDArray, INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Pairwise dot product reduction along dimension
output = sum(i=0 ...

Dot - Class in org.nd4j.linalg.api.ops.impl.reduce3

Dot() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Dot(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.Dot

Full array dot product reduction, optionally along specified dimensions.
See wikipedia for details.

DotBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

DotBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

DotBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

DotBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

DotBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

DotBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

DotBp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

DotBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

DotBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

dotProductAttention(String, SDVariable, SDVariable, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

This operation performs dot product attention on the given timeseries input with the given queries
out = sum(similarity(k_i, q) * v_i)

similarity(k, q) = softmax(k * q) where x * q is the dot product of x and q

Optionally with normalization step:
similarity(k, q) = softmax(k * q / sqrt(size(q))

See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, p.

dotProductAttention(SDVariable, SDVariable, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

This operation performs dot product attention on the given timeseries input with the given queries
out = sum(similarity(k_i, q) * v_i)

similarity(k, q) = softmax(k * q) where x * q is the dot product of x and q

Optionally with normalization step:
similarity(k, q) = softmax(k * q / sqrt(size(q))

See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, p.

dotProductAttention(INDArray, INDArray, INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDNN

This operation performs dot product attention on the given timeseries input with the given queries
out = sum(similarity(k_i, q) * v_i)

similarity(k, q) = softmax(k * q) where x * q is the dot product of x and q

Optionally with normalization step:
similarity(k, q) = softmax(k * q / sqrt(size(q))

See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, p.

DotProductAttention - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

DotProductAttention(INDArray, INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttention

DotProductAttention(INDArray, INDArray, INDArray, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttention

DotProductAttention(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttention

DotProductAttentionBp - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

DotProductAttentionBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttentionBp

DOUBLE - onnx.Onnx.TensorProto.DataType

DOUBLE = 11;

DOUBLE - onnx.OnnxMl.TensorProto.DataType

DOUBLE = 11;

DOUBLE - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

DOUBLE = 1;

DOUBLE - org.nd4j.ir.TensorNamespace.DataType

DOUBLE = 11;

DOUBLE - org.nd4j.linalg.api.buffer.DataType

DOUBLE - org.nd4j.linalg.api.buffer.DataTypeEx

DOUBLE - org.nd4j.linalg.indexing.functions.StableNumber.Type

DOUBLE - Static variable in class org.nd4j.graph.DType

DOUBLE_DATA_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

DOUBLE_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

DOUBLE_DATA_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

DOUBLE_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

DOUBLE_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

DOUBLE = 11;

DOUBLE_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

DOUBLE = 11;

DOUBLE_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

DOUBLE = 1;

DOUBLE_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

DOUBLE = 11;

doubleAverage(boolean) - Static method in class org.nd4j.evaluation.custom.CustomEvaluation.Metric

A metric that takes the average of a list of doubles

doubleBufferClass() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

doubleMax(boolean) - Static method in class org.nd4j.evaluation.custom.CustomEvaluation.Metric

A metric that takes the max of a list of doubles

doubleMin(boolean) - Static method in class org.nd4j.evaluation.custom.CustomEvaluation.Metric

A metric that takes the min of a list of doubles

DOUBLEVALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

dpotrf(byte, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

DrawBoundingBoxes - Class in org.nd4j.linalg.api.ops.custom

DrawBoundingBoxes() - Constructor for class org.nd4j.linalg.api.ops.custom.DrawBoundingBoxes

DrawBoundingBoxes(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.DrawBoundingBoxes

DrawBoundingBoxes(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.DrawBoundingBoxes

DrawBoundingBoxes(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.DrawBoundingBoxes

drop(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage

This method removes value by specified key

dropout(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Dropout operation

dropout(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Dropout operation

dropout(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDNN

Dropout operation

DropOut - Class in org.nd4j.linalg.api.ops.random.impl

DropOut(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut

DropOut(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut

DropOut(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut

dropoutInverted(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Dropout inverted operation.

dropoutInverted(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Dropout inverted operation.

dropoutInverted(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDNN

Dropout inverted operation.

DropOutInverted - Class in org.nd4j.linalg.api.ops.random.impl

DropOutInverted() - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

DropOutInverted(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

DropOutInverted(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

DropOutInverted(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

drot(long, INDArray, int, INDArray, int, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

drotg(double, double, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

drotm(long, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

drotmg(double, double, double, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dsbmv(char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dscal(long, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dsdot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dspmv(char, char, int, double, INDArray, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dspr(char, char, int, double, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dspr2(char, char, int, double, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

DST_DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest

dswap(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dsyev(char, char, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

dsymm(char, char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dsymv(char, char, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dsyr(char, char, int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dsyr2(char, char, int, double, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dsyr2k(char, char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dsyrk(char, char, char, int, int, double, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dt - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession

DT_BFLOAT16 - org.tensorflow.framework.DataType

Float32 truncated to 16 bits.

DT_BFLOAT16_REF - org.tensorflow.framework.DataType

DT_BFLOAT16_REF = 114;

DT_BFLOAT16_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_BFLOAT16_REF = 114;

DT_BFLOAT16_VALUE - Static variable in enum org.tensorflow.framework.DataType

Float32 truncated to 16 bits.

DT_BOOL - org.tensorflow.framework.DataType

DT_BOOL = 10;

DT_BOOL_REF - org.tensorflow.framework.DataType

DT_BOOL_REF = 110;

DT_BOOL_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_BOOL_REF = 110;

DT_BOOL_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_BOOL = 10;

DT_COMPLEX128 - org.tensorflow.framework.DataType

Double-precision complex

DT_COMPLEX128_REF - org.tensorflow.framework.DataType

DT_COMPLEX128_REF = 118;

DT_COMPLEX128_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_COMPLEX128_REF = 118;

DT_COMPLEX128_VALUE - Static variable in enum org.tensorflow.framework.DataType

Double-precision complex

DT_COMPLEX64 - org.tensorflow.framework.DataType

Single-precision complex

DT_COMPLEX64_REF - org.tensorflow.framework.DataType

DT_COMPLEX64_REF = 108;

DT_COMPLEX64_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_COMPLEX64_REF = 108;

DT_COMPLEX64_VALUE - Static variable in enum org.tensorflow.framework.DataType

Single-precision complex

DT_DOUBLE - org.tensorflow.framework.DataType

DT_DOUBLE = 2;

DT_DOUBLE_REF - org.tensorflow.framework.DataType

DT_DOUBLE_REF = 102;

DT_DOUBLE_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_DOUBLE_REF = 102;

DT_DOUBLE_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_DOUBLE = 2;

DT_FLOAT - org.tensorflow.framework.DataType

Data types that all computation devices are expected to be capable to support.

DT_FLOAT_REF - org.tensorflow.framework.DataType

Do not use! These are only for parameters.

DT_FLOAT_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

Do not use! These are only for parameters.

DT_FLOAT_VALUE - Static variable in enum org.tensorflow.framework.DataType

Data types that all computation devices are expected to be capable to support.

DT_HALF - org.tensorflow.framework.DataType

DT_HALF = 19;

DT_HALF_REF - org.tensorflow.framework.DataType

DT_HALF_REF = 119;

DT_HALF_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_HALF_REF = 119;

DT_HALF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_HALF = 19;

DT_INT16 - org.tensorflow.framework.DataType

DT_INT16 = 5;

DT_INT16_REF - org.tensorflow.framework.DataType

DT_INT16_REF = 105;

DT_INT16_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_INT16_REF = 105;

DT_INT16_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_INT16 = 5;

DT_INT32 - org.tensorflow.framework.DataType

DT_INT32 = 3;

DT_INT32_REF - org.tensorflow.framework.DataType

DT_INT32_REF = 103;

DT_INT32_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_INT32_REF = 103;

DT_INT32_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_INT32 = 3;

DT_INT64 - org.tensorflow.framework.DataType

DT_INT64 = 9;

DT_INT64_REF - org.tensorflow.framework.DataType

DT_INT64_REF = 109;

DT_INT64_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_INT64_REF = 109;

DT_INT64_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_INT64 = 9;

DT_INT8 - org.tensorflow.framework.DataType

DT_INT8 = 6;

DT_INT8_REF - org.tensorflow.framework.DataType

DT_INT8_REF = 106;

DT_INT8_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_INT8_REF = 106;

DT_INT8_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_INT8 = 6;

DT_INVALID - org.tensorflow.framework.DataType

Not a legal value for DataType.

DT_INVALID_VALUE - Static variable in enum org.tensorflow.framework.DataType

Not a legal value for DataType.

DT_QINT16 - org.tensorflow.framework.DataType

Quantized int16

DT_QINT16_REF - org.tensorflow.framework.DataType

DT_QINT16_REF = 115;

DT_QINT16_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_QINT16_REF = 115;

DT_QINT16_VALUE - Static variable in enum org.tensorflow.framework.DataType

Quantized int16

DT_QINT32 - org.tensorflow.framework.DataType

Quantized int32

DT_QINT32_REF - org.tensorflow.framework.DataType

DT_QINT32_REF = 113;

DT_QINT32_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_QINT32_REF = 113;

DT_QINT32_VALUE - Static variable in enum org.tensorflow.framework.DataType

Quantized int32

DT_QINT8 - org.tensorflow.framework.DataType

Quantized int8

DT_QINT8_REF - org.tensorflow.framework.DataType

DT_QINT8_REF = 111;

DT_QINT8_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_QINT8_REF = 111;

DT_QINT8_VALUE - Static variable in enum org.tensorflow.framework.DataType

Quantized int8

DT_QUINT16 - org.tensorflow.framework.DataType

Quantized uint16

DT_QUINT16_REF - org.tensorflow.framework.DataType

DT_QUINT16_REF = 116;

DT_QUINT16_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_QUINT16_REF = 116;

DT_QUINT16_VALUE - Static variable in enum org.tensorflow.framework.DataType

Quantized uint16

DT_QUINT8 - org.tensorflow.framework.DataType

Quantized uint8

DT_QUINT8_REF - org.tensorflow.framework.DataType

DT_QUINT8_REF = 112;

DT_QUINT8_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_QUINT8_REF = 112;

DT_QUINT8_VALUE - Static variable in enum org.tensorflow.framework.DataType

Quantized uint8

DT_RESOURCE - org.tensorflow.framework.DataType

DT_RESOURCE = 20;

DT_RESOURCE_REF - org.tensorflow.framework.DataType

DT_RESOURCE_REF = 120;

DT_RESOURCE_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_RESOURCE_REF = 120;

DT_RESOURCE_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_RESOURCE = 20;

DT_STRING - org.tensorflow.framework.DataType

DT_STRING = 7;

DT_STRING_REF - org.tensorflow.framework.DataType

DT_STRING_REF = 107;

DT_STRING_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_STRING_REF = 107;

DT_STRING_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_STRING = 7;

DT_UINT16 - org.tensorflow.framework.DataType

DT_UINT16 = 17;

DT_UINT16_REF - org.tensorflow.framework.DataType

DT_UINT16_REF = 117;

DT_UINT16_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_UINT16_REF = 117;

DT_UINT16_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_UINT16 = 17;

DT_UINT32 - org.tensorflow.framework.DataType

DT_UINT32 = 22;

DT_UINT32_REF - org.tensorflow.framework.DataType

DT_UINT32_REF = 122;

DT_UINT32_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_UINT32_REF = 122;

DT_UINT32_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_UINT32 = 22;

DT_UINT64 - org.tensorflow.framework.DataType

DT_UINT64 = 23;

DT_UINT64_REF - org.tensorflow.framework.DataType

DT_UINT64_REF = 123;

DT_UINT64_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_UINT64_REF = 123;

DT_UINT64_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_UINT64 = 23;

DT_UINT8 - org.tensorflow.framework.DataType

DT_UINT8 = 4;

DT_UINT8_REF - org.tensorflow.framework.DataType

DT_UINT8_REF = 104;

DT_UINT8_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_UINT8_REF = 104;

DT_UINT8_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_UINT8 = 4;

DT_VARIANT - org.tensorflow.framework.DataType

Arbitrary C++ data types

DT_VARIANT_REF - org.tensorflow.framework.DataType

DT_VARIANT_REF = 121;

DT_VARIANT_REF_VALUE - Static variable in enum org.tensorflow.framework.DataType

DT_VARIANT_REF = 121;

DT_VARIANT_VALUE - Static variable in enum org.tensorflow.framework.DataType

Arbitrary C++ data types

dtbmv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtbsv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtpmv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtpsv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtrmm(char, char, char, char, char, int, int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dtrmv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtrsm(char, char, char, char, char, int, int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dtrsv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtype - Static variable in class org.nd4j.linalg.factory.Nd4j

dtype() - Method in class org.nd4j.graph.FlatArray

dtype() - Method in class org.nd4j.graph.FlatVariable

dtype() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Returns the data opType for this ndarray

dtype() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Returns the data opType for this ndarray

DType - Class in org.nd4j.graph

DTYPE - Static variable in class org.nd4j.linalg.factory.Nd4j

Deprecated.

Use ND4JSystemProperties.DTYPE

DTYPE_BFLOAT16_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_BOOL_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_BYTE_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_COMPRESSED_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_DOUBLE_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferConstNodeInfo

DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorDescription

DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorInfo

DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto

DTYPE_FLOAT_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_HALF_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_INT_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_LONG_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_SHORT_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_UNSIGNED_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPE_UTF8_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

DTYPEARG - org.nd4j.ir.MapperNamespace.OpListType

DTYPEARG = 3;

DTYPEARG_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.OpListType

DTYPEARG = 3;

dtypeConv(int) - Static method in class org.nd4j.imports.descriptors.properties.adapters.DataTypeAdapter

dtypeConv(DataType) - Static method in class org.nd4j.imports.descriptors.properties.adapters.DataTypeAdapter

dummy - Static variable in class org.nd4j.linalg.eigen.Eigen

DUMMY - org.nd4j.linalg.api.memory.MemoryWorkspace.Type

This mode means you have dummy workspace here.

DummyWorkspace - Class in org.nd4j.linalg.api.memory.abstracts

DummyWorkspace() - Constructor for class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

dup() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Duplicate this function

dup() - Method in class org.nd4j.autodiff.samediff.SameDiff

Clone/duplicate the SameDiff instance, including arrays etc.

dup() - Method in class org.nd4j.autodiff.samediff.SDVariable

Create a new SDVariable, the contents of which is copied from this current variable

dup() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

dup() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Return a copy of this buffer

dup() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

dup() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a copy of this ndarray

dup() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

dup() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

Deep copy of this INDArrayIndex

dup() - Method in class org.nd4j.linalg.indexing.IntervalIndex

dup() - Method in class org.nd4j.linalg.indexing.NDArrayIndexAll

dup() - Method in class org.nd4j.linalg.indexing.NewAxis

dup() - Method in class org.nd4j.linalg.indexing.PointIndex

dup() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

dup(char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

dup(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a copy of this ndarray, where the returned ndarray has the specified order

dup(INDArray) - Method in class org.nd4j.autodiff.samediff.internal.memory.AbstractMemoryMgr

dup(INDArray) - Method in interface org.nd4j.autodiff.samediff.internal.SessionMemMgr

Duplicate the specified array, to an array that is managed/allocated by the session memory manager

dup(T, INDArray) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

dup(T, INDArray) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Duplicate the array, where the array is put into the specified array type's workspace (if applicable)

dup(T, INDArray, char) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

dup(T, INDArray, char) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Duplicate the array, where the array is put into the specified array type's workspace (if applicable)

DURATION_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.TraceOpts

dVector() - Method in class org.nd4j.graph.FlatProperties

dVector(DoubleVector) - Method in class org.nd4j.graph.FlatProperties

DYNAMIC_LOAD_CLASSPATH - Static variable in class org.nd4j.linalg.factory.Nd4jBackend

Deprecated.

Use ND4JEnvironmentVars.BACKEND_DYNAMIC_LOAD_CLASSPATH

DYNAMIC_LOAD_CLASSPATH_PROPERTY - Static variable in class org.nd4j.linalg.factory.Nd4jBackend

Deprecated.

Use ND4JSystemProperties.DYNAMIC_LOAD_CLASSPATH_PROPERTY

DynamicCustomOp - Class in org.nd4j.linalg.api.ops

DynamicCustomOp() - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp(String) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp(String, SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

Initialize this for SameDiff execution Any extra int or float arguments for operations must be added to the respective TArguments or IArguments lists upon construction

DynamicCustomOp(String, INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

Initialize this operation for execution (pre created ndarrays)

DynamicCustomOp(String, INDArray[], INDArray[], List<Double>, int[]) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp(String, INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

Initialize this custom op with all of the inputs, outputs, and respective arguments for execution

DynamicCustomOp(String, INDArray, INDArray, List<Double>, int[]) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp

Initialize this operation for execution (pre created ndarrays)

DynamicCustomOp.DynamicCustomOpsBuilder - Class in org.nd4j.linalg.api.ops

DynamicCustomOpsBuilder(String, long, int, int, boolean, int, int) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

DynamicCustomOpsBuilder(String, long, int, int, boolean, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

dynamicPartition(String[], SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Dynamically partition the input variable values into the specified number of paritions, using the indices.
Example:

dynamicPartition(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Dynamically partition the input variable values into the specified number of paritions, using the indices.
Example:

dynamicPartition(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Dynamically partition the input variable values into the specified number of paritions, using the indices.
Example:

DynamicPartition - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

DynamicPartition() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

DynamicPartition(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

DynamicPartition(SameDiff, SDVariable, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

DynamicPartition(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

DynamicPartition(INDArray, INDArray[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

DynamicPartitionBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

DynamicPartitionBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp

DynamicPartitionBp(SameDiff, SDVariable, SDVariable, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp

dynamicStitch(String, SDVariable[], SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Dynamically merge the specified input arrays into a single array, using the specified indices

dynamicStitch(SDVariable[], SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Dynamically merge the specified input arrays into a single array, using the specified indices

dynamicStitch(INDArray[], INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Dynamically merge the specified input arrays into a single array, using the specified indices

DynamicStitch - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

DynamicStitch() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

DynamicStitch(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

DynamicStitch(SameDiff, SDVariable[], SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

E

e - org.nd4j.autodiff.listeners.profiler.data.Phase

E - org.nd4j.autodiff.listeners.profiler.data.Phase

EagerServiceOuterClass - Class in tensorflow.eager

EagerServiceOuterClass.CloseContextRequest - Class in tensorflow.eager

Protobuf type tensorflow.eager.CloseContextRequest

EagerServiceOuterClass.CloseContextRequest.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.CloseContextRequest

EagerServiceOuterClass.CloseContextRequestOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.CloseContextResponse - Class in tensorflow.eager

Protobuf type tensorflow.eager.CloseContextResponse

EagerServiceOuterClass.CloseContextResponse.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.CloseContextResponse

EagerServiceOuterClass.CloseContextResponseOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.CreateContextRequest - Class in tensorflow.eager

Protobuf type tensorflow.eager.CreateContextRequest

EagerServiceOuterClass.CreateContextRequest.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.CreateContextRequest

EagerServiceOuterClass.CreateContextRequestOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.CreateContextResponse - Class in tensorflow.eager

Protobuf type tensorflow.eager.CreateContextResponse

EagerServiceOuterClass.CreateContextResponse.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.CreateContextResponse

EagerServiceOuterClass.CreateContextResponseOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.EnqueueRequest - Class in tensorflow.eager

Protobuf type tensorflow.eager.EnqueueRequest

EagerServiceOuterClass.EnqueueRequest.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.EnqueueRequest

EagerServiceOuterClass.EnqueueRequestOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.EnqueueResponse - Class in tensorflow.eager

Protobuf type tensorflow.eager.EnqueueResponse

EagerServiceOuterClass.EnqueueResponse.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.EnqueueResponse

EagerServiceOuterClass.EnqueueResponseOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.KeepAliveRequest - Class in tensorflow.eager

Protobuf type tensorflow.eager.KeepAliveRequest

EagerServiceOuterClass.KeepAliveRequest.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.KeepAliveRequest

EagerServiceOuterClass.KeepAliveRequestOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.KeepAliveResponse - Class in tensorflow.eager

Protobuf type tensorflow.eager.KeepAliveResponse

EagerServiceOuterClass.KeepAliveResponse.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.KeepAliveResponse

EagerServiceOuterClass.KeepAliveResponseOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.Operation - Class in tensorflow.eager

A proto representation of an eager operation.

EagerServiceOuterClass.Operation.Builder - Class in tensorflow.eager

A proto representation of an eager operation.

EagerServiceOuterClass.OperationOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.QueueItem - Class in tensorflow.eager

Protobuf type tensorflow.eager.QueueItem

EagerServiceOuterClass.QueueItem.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.QueueItem

EagerServiceOuterClass.QueueItem.ItemCase - Enum in tensorflow.eager

EagerServiceOuterClass.QueueItemOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.RegisterFunctionRequest - Class in tensorflow.eager

Protobuf type tensorflow.eager.RegisterFunctionRequest

EagerServiceOuterClass.RegisterFunctionRequest.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.RegisterFunctionRequest

EagerServiceOuterClass.RegisterFunctionRequestOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.RegisterFunctionResponse - Class in tensorflow.eager

Protobuf type tensorflow.eager.RegisterFunctionResponse

EagerServiceOuterClass.RegisterFunctionResponse.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.RegisterFunctionResponse

EagerServiceOuterClass.RegisterFunctionResponseOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.RemoteTensorHandle - Class in tensorflow.eager

Protobuf type tensorflow.eager.RemoteTensorHandle

EagerServiceOuterClass.RemoteTensorHandle.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.RemoteTensorHandle

EagerServiceOuterClass.RemoteTensorHandleOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.WaitQueueDoneRequest - Class in tensorflow.eager

Protobuf type tensorflow.eager.WaitQueueDoneRequest

EagerServiceOuterClass.WaitQueueDoneRequest.Builder - Class in tensorflow.eager

Protobuf type tensorflow.eager.WaitQueueDoneRequest

EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder - Interface in tensorflow.eager

EagerServiceOuterClass.WaitQueueDoneResponse - Class in tensorflow.eager

TODO(nareshmodi): Consider adding NodeExecStats here to be able to propagate some stats.

EagerServiceOuterClass.WaitQueueDoneResponse.Builder - Class in tensorflow.eager

TODO(nareshmodi): Consider adding NodeExecStats here to be able to propagate some stats.

EagerServiceOuterClass.WaitQueueDoneResponseOrBuilder - Interface in tensorflow.eager

effectiveKernelSize(long, int) - Static method in class org.nd4j.linalg.convolution.Convolution

eig(String[], SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates eigen values

eig(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates eigen values

eig(INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen

Compute the eigenvalues and eigenvectors of a square matrix

eig(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Calculates eigen values

Eig - Class in org.nd4j.linalg.api.ops.custom

Eig() - Constructor for class org.nd4j.linalg.api.ops.custom.Eig

Eig(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Eig

Eig(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.custom.Eig

Eig(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Eig

Eig(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.custom.Eig

Eig(INDArray[], INDArray[], List<Double>, int[]) - Constructor for class org.nd4j.linalg.api.ops.custom.Eig

Eig(INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.custom.Eig

Eigen - Class in org.nd4j.linalg.eigen

Eigen() - Constructor for class org.nd4j.linalg.eigen.Eigen

ELEM_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto.Optional

ELEM_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto.Sequence

ELEM_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto.SparseTensor

ELEM_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto.Tensor

ELEM_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.Optional

ELEM_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.Sequence

ELEM_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.SparseTensor

ELEM_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.Tensor

ELEM_TYPE_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

element() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

element() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a scalar (individual element) of a scalar ndarray

elementSize - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

elementWiseStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

elementWiseStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Element wise stride

elementWiseStride(int[], int[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

elementWiseStride(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the element wise stride for the shape info buffer

elementWiseStride(long[], long[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

elementWiseStride(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the element wise stride for the shape info buffer

elementWiseStride(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

elementWiseStride(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the element wise stride for the shape info buffer

elementwiseThreshold() - Method in interface org.nd4j.linalg.factory.Environment

Returns the elementwise threshold for ops

elu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise exponential linear unit (ELU) function:
out = x if x > 0
out = a * (exp(x) - 1) if x <= 0
with constant a = 1.0

elu(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise exponential linear unit (ELU) function:
out = x if x > 0
out = a * (exp(x) - 1) if x <= 0
with constant a = 1.0

elu(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise exponential linear unit (ELU) function:
out = x if x > 0
out = a * (exp(x) - 1) if x <= 0
with constant a = 1.0

elu(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

elu(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

ELU - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

ELU - org.nd4j.enums.CellAct

ELU - org.nd4j.enums.GateAct

ELU - org.nd4j.enums.OutAct

ELU - org.nd4j.linalg.activations.Activation

ELU - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

ELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

ELU(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

ELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

ELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

ELU(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

EluBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

EluBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.EluBp

EluBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.EluBp

EluBp(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.EluBp

EluBp(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.EluBp

eluDerivative(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

eluDerivative(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

embeddingLookup(String, SDVariable, SDVariable, PartitionMode) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Looks up ids in a list of embedding tensors.

embeddingLookup(SDVariable, SDVariable, PartitionMode) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Looks up ids in a list of embedding tensors.

embeddingLookup(INDArray, INDArray, PartitionMode) - Method in class org.nd4j.linalg.factory.ops.NDMath

Looks up ids in a list of embedding tensors.

EmbeddingLookup - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

EmbeddingLookup(SameDiff, SDVariable, SDVariable, PartitionMode) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.EmbeddingLookup

EmbeddingLookup(INDArray, INDArray, PartitionMode, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.EmbeddingLookup

EmbeddingLookup(INDArray, INDArray, PartitionMode, @lombok.NonNull int...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.EmbeddingLookup

empty() - Static method in class org.nd4j.autodiff.listeners.ListenerVariables

empty() - Static method in class org.nd4j.linalg.dataset.DataSet

Returns a single dataset (all fields are null)

empty() - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates "empty" INDArray with datatype determined by Nd4j.dataType()

empty(DataType) - Static method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

empty(SDValueType, DataType) - Static method in class org.nd4j.autodiff.samediff.config.SDValue

Create an empty value for the given DataType

empty(DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates "empty" INDArray of the specified datatype

empty(DataType) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

EMPTY - org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper.ValueSource

EMPTY - org.nd4j.linalg.api.shape.options.ArrayType

EMPTY_ARRAY_STR - Static variable in class org.nd4j.linalg.string.NDArrayStrings

emptyValue() - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp

emptyValue() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.All

emptyValue() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

emptyValue() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

emptyValue() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

ENABLE_BFLOAT16_SENDRECV_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphOptions

ENABLE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AutoParallelOptions

ENABLE_OP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ScopedAllocatorOptions

ENABLE_RECV_SCHEDULING_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphOptions

ENABLE_RPC_LOGGING_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LoggingRequest

ENABLED - Static variable in class org.nd4j.linalg.executors.ExecutorServiceProvider

enableDebug(boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method enabled debugging mode for this workspace

enableDebug(boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method enabled debugging mode for this workspace

enableDebug(boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method enabled debugging mode for this workspace

enableDebugMode() - Method in class org.nd4j.autodiff.samediff.SameDiff

Enables tracing of graphs automatically.

enableDebugMode(boolean) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

enableDebugMode(boolean) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

enableEagerMode() - Method in class org.nd4j.autodiff.samediff.SameDiff

Enables eager mode.

enableFallbackMode(boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

This method enables fallback to safe-mode for specific operations.

enableVerboseMode(boolean) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

enableVerboseMode(boolean) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

EncodeBitmap - Class in org.nd4j.linalg.api.ops.compression

EncodeBitmap() - Constructor for class org.nd4j.linalg.api.ops.compression.EncodeBitmap

EncodeBitmap(INDArray, float) - Constructor for class org.nd4j.linalg.api.ops.compression.EncodeBitmap

EncodeBitmap(INDArray, INDArray, INDArray, float) - Constructor for class org.nd4j.linalg.api.ops.compression.EncodeBitmap

ENCODED_AUDIO_STRING_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio

ENCODED_IMAGE_STRING_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Image

encodeGraphStructure(FlatBufferBuilder, SameDiff) - Method in class org.nd4j.graph.ui.LogFileWriter

encodeStaticHeader(byte) - Method in class org.nd4j.graph.ui.LogFileWriter

Encode the header as a UIStaticInfoRecord instance for the specific UIEventType

EncodeThreshold - Class in org.nd4j.linalg.api.ops.compression

EncodeThreshold() - Constructor for class org.nd4j.linalg.api.ops.compression.EncodeThreshold

EncodeThreshold(INDArray, float) - Constructor for class org.nd4j.linalg.api.ops.compression.EncodeThreshold

EncodeThreshold(INDArray, float, Integer) - Constructor for class org.nd4j.linalg.api.ops.compression.EncodeThreshold

EncodeThreshold(INDArray, INDArray, float, Integer) - Constructor for class org.nd4j.linalg.api.ops.compression.EncodeThreshold

ENCODING_NOT_SET - org.tensorflow.framework.TensorInfo.EncodingCase

end - Variable in class org.nd4j.linalg.indexing.IntervalIndex

end() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

The ending for this index

end() - Method in class org.nd4j.linalg.indexing.IntervalIndex

end() - Method in class org.nd4j.linalg.indexing.NDArrayIndex

end() - Method in class org.nd4j.linalg.indexing.NewAxis

end() - Method in class org.nd4j.linalg.indexing.PointIndex

end() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

END_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto.Segment

END_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto.Segment

END_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

endFlatArray(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatArray

endFlatArrayList(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatArrayList

endFlatConfiguration(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatConfiguration

endFlatDropRequest(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatDropRequest

endFlatGraph(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatGraph

endFlatInferenceRequest(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatInferenceRequest

endFlatNode(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatNode

endFlatProperties(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatProperties

endFlatResponse(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatResponse

endFlatResult(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatResult

endFlatTiming(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatTiming

endFlatVariable(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatVariable

endFrameIteration(FlatBufferBuilder) - Static method in class org.nd4j.graph.FrameIteration

ENDIANNESS_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleHeaderProto

endIntPair(FlatBufferBuilder) - Static method in class org.nd4j.graph.IntPair

endIntTriple(FlatBufferBuilder) - Static method in class org.nd4j.graph.IntTriple

endLongPair(FlatBufferBuilder) - Static method in class org.nd4j.graph.LongPair

endLongTriple(FlatBufferBuilder) - Static method in class org.nd4j.graph.LongTriple

ENDOFBUFFER_REACHED - org.nd4j.linalg.api.memory.enums.ResetPolicy

This policy means - this Workspace instance will be acting as circular buffer, so it'll be reset only after end of workspace buffer is reached.

ENDPOINT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

endSequenceItem(FlatBufferBuilder) - Static method in class org.nd4j.graph.SequenceItem

endSequenceItemRoot(FlatBufferBuilder) - Static method in class org.nd4j.graph.SequenceItemRoot

endUIAddName(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIAddName

endUIEvent(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIEvent

endUIGraphStructure(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIGraphStructure

endUIHardwareState(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIHardwareState

endUIHistogram(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIHistogram

endUIOp(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIOp

endUIStaticInfoRecord(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIStaticInfoRecord

endUISummaryStatistics(FlatBufferBuilder) - Static method in class org.nd4j.graph.UISummaryStatistics

endUISystemInfo(FlatBufferBuilder) - Static method in class org.nd4j.graph.UISystemInfo

endUIVariable(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIVariable

endUpdaterState(FlatBufferBuilder) - Static method in class org.nd4j.graph.UpdaterState

ENQUEUE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.QueueRunnerDef

ensureAtMinRowVector(int...) - Static method in class org.nd4j.linalg.api.shape.Shape

If a shape array is ony 1 in length it returns a row vector

ensureLocation(INDArray, AffinityManager.Location) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method propagates given INDArray to specified location

ensureLocation(INDArray, AffinityManager.Location) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

ensureThreadExistense() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

Enter - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat

Enter() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

Enter(SameDiff, String, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

Enter(SameDiff, String, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

Enter(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

entries - Variable in class org.nd4j.linalg.profiler.data.primitives.StackNode

entropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

entropy(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns entropy value for this INDArray along specified dimension(s)

entropy(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Entropy reduction: -sum(x * log(x))

entropy(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Entropy reduction: -sum(x * log(x))

entropy(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Entropy reduction: -sum(x * log(x))

entropy(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Entropy reduction: -sum(x * log(x))

entropy(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Entropy reduction: -sum(x * log(x))

entropy(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Entropy reduction: -sum(x * log(x))

Entropy - Class in org.nd4j.linalg.api.ops.impl.reduce.floating

Entropy() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

Entropy(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

entropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

entropyNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns entropy value for this INDArray

entry() - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray

This method returns INDArray for the current device PLEASE NOTE: if you use more than one thread per device you'd better not use this method unless you're 100% sure

entry(int) - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray

This method returns INDArray for specific entry (i.e.

Environment - Class in org.nd4j.linalg.heartbeat.reports

Environment - Interface in org.nd4j.linalg.factory

Environment() - Constructor for class org.nd4j.linalg.heartbeat.reports.Environment

ENVIRONMENT_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

EnvironmentalAction - Interface in org.nd4j.linalg.env

EnvironmentUtils - Class in org.nd4j.linalg.heartbeat.utils

EnvironmentUtils() - Constructor for class org.nd4j.linalg.heartbeat.utils.EnvironmentUtils

epoch() - Method in class org.nd4j.autodiff.listeners.At

epoch() - Method in class org.nd4j.graph.UIEvent

EPOCH - org.nd4j.linalg.schedule.ScheduleType

epochEnd(SameDiff, At, LossCurve, long) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

epochEnd(SameDiff, At, LossCurve, long) - Method in class org.nd4j.autodiff.listeners.BaseListener

epochEnd(SameDiff, At, LossCurve, long) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

epochEnd(SameDiff, At, LossCurve, long) - Method in class org.nd4j.autodiff.listeners.impl.ScoreListener

epochEnd(SameDiff, At, LossCurve, long) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

epochEnd(SameDiff, At, LossCurve, long) - Method in interface org.nd4j.autodiff.listeners.Listener

Called at the end of every epoch, when fitting from an iterator

epochEndEvaluations(SameDiff, At, LossCurve, long, EvaluationRecord) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

See Listener.epochEnd(SameDiff, At, LossCurve, long), also provided the requested evaluations

epochEndEvaluations(SameDiff, At, LossCurve, long, EvaluationRecord) - Method in class org.nd4j.autodiff.listeners.impl.HistoryListener

epochs(int) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the number of epochs to train for

epochStart(SameDiff, At) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

epochStart(SameDiff, At) - Method in class org.nd4j.autodiff.listeners.BaseListener

epochStart(SameDiff, At) - Method in class org.nd4j.autodiff.listeners.impl.ScoreListener

epochStart(SameDiff, At) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

epochStart(SameDiff, At) - Method in interface org.nd4j.autodiff.listeners.Listener

Called at the start of every epoch, when fitting from an iterator

epochStartEvaluations(SameDiff, At) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

See Listener.epochStart(SameDiff, At)

eps - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

eps - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

eps(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

eps(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Epsilon equals" comparison.

eps(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

eps(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Epsilon equals" comparison.

eps(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Eps - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison

Eps() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

Eps(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

Eps(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

Eps(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

Eps(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

Eps(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

Eps(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

EPS_THRESHOLD - Static variable in class org.nd4j.linalg.factory.Nd4j

epsEquals() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is two values are equal wrt eps PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

epsEquals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is two values are equal wrt eps

epsEquals(Number, Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is two values are equal wrt eps

EPSILON_EQUALS - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

EPSILON_NOT_EQUALS - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

EpsilonEquals - Class in org.nd4j.linalg.indexing.conditions

EpsilonEquals() - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonEquals

Special constructor for pairwise boolean operations.

EpsilonEquals(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonEquals

EpsilonEquals(Number, Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonEquals

EpsilonNotEquals - Class in org.nd4j.linalg.indexing.conditions

EpsilonNotEquals() - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

Special constructor for pairwise boolean operations.

EpsilonNotEquals(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

EpsilonNotEquals(Number, Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

epsNotEquals() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is two values are not equal wrt eps PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

epsNotEquals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is two values are not equal wrt eps

epsThreshold() - Method in class org.nd4j.linalg.indexing.conditions.AbsoluteEquals

epsThreshold() - Method in class org.nd4j.linalg.indexing.conditions.And

epsThreshold() - Method in class org.nd4j.linalg.indexing.conditions.BaseCondition

epsThreshold() - Method in interface org.nd4j.linalg.indexing.conditions.Condition

epsThreshold() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals

epsThreshold() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals

epsThreshold() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

epsThreshold() - Method in class org.nd4j.linalg.indexing.conditions.Not

epsThreshold() - Method in class org.nd4j.linalg.indexing.conditions.Or

eq(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.eq(String, double)

eq(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

eq(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Equals" comparison.

eq(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Equals operation: elementwise this == value
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise

eq(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Equal to operation: elementwise this == y
If x and y arrays have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if x and y have different shapes and are broadcastable, the output shape is broadcast.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

eq(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Equals operation: elementwise x == y
Return boolean array with values true where satisfied, or false otherwise.

eq(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Equal to operation: elementwise x == y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

eq(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.eq(String, SDVariable)

eq(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Equals operation: elementwise x == y
Return boolean array with values true where satisfied, or false otherwise.

eq(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Equal to operation: elementwise x == y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

eq(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

eq(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Equals" comparison.

eq(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Equals operation: elementwise x == y
Return boolean array with values true where satisfied, or false otherwise.

eq(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Equal to operation: elementwise x == y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

eq(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast equal to op.

eq(Condition...) - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder

EQUAL_SPACING - Static variable in class org.nd4j.graph.UIHistogramType

equalConsideringNull(List<String>, List<String>, String, Object...) - Static method in class org.nd4j.autodiff.validation.OpValidation

EqualityFn - Class in org.nd4j.autodiff.validation.functions

EqualityFn() - Constructor for class org.nd4j.autodiff.validation.functions.EqualityFn

equals() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is two values are equal PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

equals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is two values are equal

equals(Object) - Method in class onnx.Onnx.AttributeProto

equals(Object) - Method in class onnx.Onnx.FunctionProto

equals(Object) - Method in class onnx.Onnx.GraphProto

equals(Object) - Method in class onnx.Onnx.ModelProto

equals(Object) - Method in class onnx.Onnx.NodeProto

equals(Object) - Method in class onnx.Onnx.OperatorSetIdProto

equals(Object) - Method in class onnx.Onnx.SparseTensorProto

equals(Object) - Method in class onnx.Onnx.StringStringEntryProto

equals(Object) - Method in class onnx.Onnx.TensorAnnotation

equals(Object) - Method in class onnx.Onnx.TensorProto

equals(Object) - Method in class onnx.Onnx.TensorProto.Segment

equals(Object) - Method in class onnx.Onnx.TensorShapeProto.Dimension

equals(Object) - Method in class onnx.Onnx.TensorShapeProto

equals(Object) - Method in class onnx.Onnx.TrainingInfoProto

equals(Object) - Method in class onnx.Onnx.TypeProto

equals(Object) - Method in class onnx.Onnx.TypeProto.Map

equals(Object) - Method in class onnx.Onnx.TypeProto.Optional

equals(Object) - Method in class onnx.Onnx.TypeProto.Sequence

equals(Object) - Method in class onnx.Onnx.TypeProto.SparseTensor

equals(Object) - Method in class onnx.Onnx.TypeProto.Tensor

equals(Object) - Method in class onnx.Onnx.ValueInfoProto

equals(Object) - Method in class onnx.OnnxMl.AttributeProto

equals(Object) - Method in class onnx.OnnxMl.FunctionProto

equals(Object) - Method in class onnx.OnnxMl.GraphProto

equals(Object) - Method in class onnx.OnnxMl.ModelProto

equals(Object) - Method in class onnx.OnnxMl.NodeProto

equals(Object) - Method in class onnx.OnnxMl.OperatorSetIdProto

equals(Object) - Method in class onnx.OnnxMl.SparseTensorProto

equals(Object) - Method in class onnx.OnnxMl.StringStringEntryProto

equals(Object) - Method in class onnx.OnnxMl.TensorAnnotation

equals(Object) - Method in class onnx.OnnxMl.TensorProto

equals(Object) - Method in class onnx.OnnxMl.TensorProto.Segment

equals(Object) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

equals(Object) - Method in class onnx.OnnxMl.TensorShapeProto

equals(Object) - Method in class onnx.OnnxMl.TrainingInfoProto

equals(Object) - Method in class onnx.OnnxMl.TypeProto

equals(Object) - Method in class onnx.OnnxMl.TypeProto.Map

equals(Object) - Method in class onnx.OnnxMl.TypeProto.Opaque

equals(Object) - Method in class onnx.OnnxMl.TypeProto.Optional

equals(Object) - Method in class onnx.OnnxMl.TypeProto.Sequence

equals(Object) - Method in class onnx.OnnxMl.TypeProto.SparseTensor

equals(Object) - Method in class onnx.OnnxMl.TypeProto.Tensor

equals(Object) - Method in class onnx.OnnxMl.ValueInfoProto

equals(Object) - Method in class onnx.OnnxOperators.OperatorProto

equals(Object) - Method in class onnx.OnnxOperators.OperatorSetProto

equals(Object) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

equals(Object) - Method in class org.nd4j.autodiff.samediff.config.SDValue

equals(Object) - Method in class org.nd4j.autodiff.samediff.SameDiff

equals(Object) - Method in class org.nd4j.autodiff.samediff.SDVariable

equals(Object) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

equals(Object) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

equals(Object) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

equals(Object) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

equals(Object) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

equals(Object) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

equals(Object) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

equals(Object) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

equals(Object) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

equals(Object) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

equals(Object) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

equals(Object) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

equals(Object) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

equals(Object) - Method in class org.nd4j.ir.TensorNamespace.TypeProto

equals(Object) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

equals(Object) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

equals(Object) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

equals(Object) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Compare two matrices.

equals(Object) - Method in class org.nd4j.linalg.api.ops.BaseOp

equals(Object) - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

equals(Object) - Method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

equals(Object) - Method in class org.nd4j.linalg.api.shape.ShapeDescriptor

equals(Object) - Method in class org.nd4j.linalg.cache.ArrayDescriptor

equals(Object) - Method in class org.nd4j.linalg.dataset.DataSet

equals(Object) - Method in class org.nd4j.linalg.dataset.MultiDataSet

equals(Object) - Method in class org.nd4j.linalg.indexing.IntervalIndex

equals(Object) - Method in class org.nd4j.linalg.indexing.NDArrayIndex

equals(Object) - Method in interface org.nd4j.linalg.learning.config.IUpdater

equals(Object) - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor

equals(Object) - Method in class org.tensorflow.distruntime.CleanupAllRequest

equals(Object) - Method in class org.tensorflow.distruntime.CleanupAllResponse

equals(Object) - Method in class org.tensorflow.distruntime.CleanupGraphRequest

equals(Object) - Method in class org.tensorflow.distruntime.CleanupGraphResponse

equals(Object) - Method in class org.tensorflow.distruntime.CloseSessionRequest

equals(Object) - Method in class org.tensorflow.distruntime.CloseSessionResponse

equals(Object) - Method in class org.tensorflow.distruntime.ClusterDef

equals(Object) - Method in class org.tensorflow.distruntime.CompleteGroupRequest

equals(Object) - Method in class org.tensorflow.distruntime.CompleteGroupResponse

equals(Object) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

equals(Object) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

equals(Object) - Method in class org.tensorflow.distruntime.CreateSessionRequest

equals(Object) - Method in class org.tensorflow.distruntime.CreateSessionResponse

equals(Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

equals(Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

equals(Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

equals(Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

equals(Object) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

equals(Object) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

equals(Object) - Method in class org.tensorflow.distruntime.ExecutorOpts

equals(Object) - Method in class org.tensorflow.distruntime.ExtendSessionRequest

equals(Object) - Method in class org.tensorflow.distruntime.ExtendSessionResponse

equals(Object) - Method in class org.tensorflow.distruntime.GetStatusRequest

equals(Object) - Method in class org.tensorflow.distruntime.GetStatusResponse

equals(Object) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

equals(Object) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

equals(Object) - Method in class org.tensorflow.distruntime.JobDef

equals(Object) - Method in class org.tensorflow.distruntime.LabeledStepStats

equals(Object) - Method in class org.tensorflow.distruntime.ListDevicesRequest

equals(Object) - Method in class org.tensorflow.distruntime.ListDevicesResponse

equals(Object) - Method in class org.tensorflow.distruntime.LoggingRequest

equals(Object) - Method in class org.tensorflow.distruntime.LoggingResponse

equals(Object) - Method in class org.tensorflow.distruntime.MakeCallableRequest

equals(Object) - Method in class org.tensorflow.distruntime.MakeCallableResponse

equals(Object) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

equals(Object) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

equals(Object) - Method in class org.tensorflow.distruntime.RecvBufRequest

equals(Object) - Method in class org.tensorflow.distruntime.RecvBufResponse

equals(Object) - Method in class org.tensorflow.distruntime.RecvTensorRequest

equals(Object) - Method in class org.tensorflow.distruntime.RecvTensorResponse

equals(Object) - Method in class org.tensorflow.distruntime.RegisterGraphRequest

equals(Object) - Method in class org.tensorflow.distruntime.RegisterGraphResponse

equals(Object) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

equals(Object) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

equals(Object) - Method in class org.tensorflow.distruntime.ResetRequest

equals(Object) - Method in class org.tensorflow.distruntime.ResetResponse

equals(Object) - Method in class org.tensorflow.distruntime.RunCallableRequest

equals(Object) - Method in class org.tensorflow.distruntime.RunCallableResponse

equals(Object) - Method in class org.tensorflow.distruntime.RunGraphRequest

equals(Object) - Method in class org.tensorflow.distruntime.RunGraphResponse

equals(Object) - Method in class org.tensorflow.distruntime.RunStepRequest

equals(Object) - Method in class org.tensorflow.distruntime.RunStepResponse

equals(Object) - Method in class org.tensorflow.distruntime.ServerDef

equals(Object) - Method in class org.tensorflow.distruntime.StepSequence

equals(Object) - Method in class org.tensorflow.distruntime.TraceOpts

equals(Object) - Method in class org.tensorflow.distruntime.TracingRequest

equals(Object) - Method in class org.tensorflow.distruntime.TracingResponse

equals(Object) - Method in class org.tensorflow.framework.AllocationDescription

equals(Object) - Method in class org.tensorflow.framework.AllocationRecord

equals(Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed

equals(Object) - Method in class org.tensorflow.framework.ApiDef.Arg

equals(Object) - Method in class org.tensorflow.framework.ApiDef.Attr

equals(Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint

equals(Object) - Method in class org.tensorflow.framework.ApiDef

equals(Object) - Method in class org.tensorflow.framework.ApiDefs

equals(Object) - Method in class org.tensorflow.framework.AssetFileDef

equals(Object) - Method in class org.tensorflow.framework.AttrValue

equals(Object) - Method in class org.tensorflow.framework.AttrValue.ListValue

equals(Object) - Method in class org.tensorflow.framework.AutoParallelOptions

equals(Object) - Method in class org.tensorflow.framework.CallableOptions

equals(Object) - Method in class org.tensorflow.framework.CollectionDef.AnyList

equals(Object) - Method in class org.tensorflow.framework.CollectionDef.BytesList

equals(Object) - Method in class org.tensorflow.framework.CollectionDef

equals(Object) - Method in class org.tensorflow.framework.CollectionDef.FloatList

equals(Object) - Method in class org.tensorflow.framework.CollectionDef.Int64List

equals(Object) - Method in class org.tensorflow.framework.CollectionDef.NodeList

equals(Object) - Method in class org.tensorflow.framework.CondContextDef

equals(Object) - Method in class org.tensorflow.framework.ConfigProto

equals(Object) - Method in class org.tensorflow.framework.ConfigProto.Experimental

equals(Object) - Method in class org.tensorflow.framework.ControlFlowContextDef

equals(Object) - Method in class org.tensorflow.framework.CostGraphDef

equals(Object) - Method in class org.tensorflow.framework.CostGraphDef.Node

equals(Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

equals(Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

equals(Object) - Method in class org.tensorflow.framework.CriticalSectionDef

equals(Object) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

equals(Object) - Method in class org.tensorflow.framework.DebuggedSourceFile

equals(Object) - Method in class org.tensorflow.framework.DebuggedSourceFiles

equals(Object) - Method in class org.tensorflow.framework.DebugOptions

equals(Object) - Method in class org.tensorflow.framework.DebugTensorWatch

equals(Object) - Method in class org.tensorflow.framework.DeviceAttributes

equals(Object) - Method in class org.tensorflow.framework.DeviceLocality

equals(Object) - Method in class org.tensorflow.framework.DeviceStepStats

equals(Object) - Method in class org.tensorflow.framework.FunctionDef

equals(Object) - Method in class org.tensorflow.framework.FunctionDefLibrary

equals(Object) - Method in class org.tensorflow.framework.GPUOptions

equals(Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental

equals(Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

equals(Object) - Method in class org.tensorflow.framework.GradientDef

equals(Object) - Method in class org.tensorflow.framework.GraphDef

equals(Object) - Method in class org.tensorflow.framework.GraphOptions

equals(Object) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

equals(Object) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

equals(Object) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

equals(Object) - Method in class org.tensorflow.framework.GraphTransferInfo

equals(Object) - Method in class org.tensorflow.framework.GraphTransferNodeInfo

equals(Object) - Method in class org.tensorflow.framework.GraphTransferNodeInput

equals(Object) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

equals(Object) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

equals(Object) - Method in class org.tensorflow.framework.HistogramProto

equals(Object) - Method in class org.tensorflow.framework.InterconnectLink

equals(Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

equals(Object) - Method in class org.tensorflow.framework.KernelDef

equals(Object) - Method in class org.tensorflow.framework.LocalLinks

equals(Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation

equals(Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

equals(Object) - Method in class org.tensorflow.framework.MemoryLogStep

equals(Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

equals(Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

equals(Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput

equals(Object) - Method in class org.tensorflow.framework.MemoryStats

equals(Object) - Method in class org.tensorflow.framework.MetaGraphDef

equals(Object) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

equals(Object) - Method in class org.tensorflow.framework.NameAttrList

equals(Object) - Method in class org.tensorflow.framework.NamedTensorProto

equals(Object) - Method in class org.tensorflow.framework.NodeDef

equals(Object) - Method in class org.tensorflow.framework.NodeExecStats

equals(Object) - Method in class org.tensorflow.framework.NodeOutput

equals(Object) - Method in class org.tensorflow.framework.OpDef.ArgDef

equals(Object) - Method in class org.tensorflow.framework.OpDef.AttrDef

equals(Object) - Method in class org.tensorflow.framework.OpDef

equals(Object) - Method in class org.tensorflow.framework.OpDeprecation

equals(Object) - Method in class org.tensorflow.framework.OpList

equals(Object) - Method in class org.tensorflow.framework.OptimizerOptions

equals(Object) - Method in class org.tensorflow.framework.QueueRunnerDef

equals(Object) - Method in class org.tensorflow.framework.ReaderBaseState

equals(Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

equals(Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

equals(Object) - Method in class org.tensorflow.framework.ResourceHandleProto

equals(Object) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

equals(Object) - Method in class org.tensorflow.framework.RewriterConfig

equals(Object) - Method in class org.tensorflow.framework.RPCOptions

equals(Object) - Method in class org.tensorflow.framework.RunMetadata

equals(Object) - Method in class org.tensorflow.framework.RunOptions

equals(Object) - Method in class org.tensorflow.framework.RunOptions.Experimental

equals(Object) - Method in class org.tensorflow.framework.SavedModel

equals(Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef

equals(Object) - Method in class org.tensorflow.framework.ScopedAllocatorOptions

equals(Object) - Method in class org.tensorflow.framework.SignatureDef

equals(Object) - Method in class org.tensorflow.framework.StepStats

equals(Object) - Method in class org.tensorflow.framework.Summary.Audio

equals(Object) - Method in class org.tensorflow.framework.Summary

equals(Object) - Method in class org.tensorflow.framework.Summary.Image

equals(Object) - Method in class org.tensorflow.framework.Summary.Value

equals(Object) - Method in class org.tensorflow.framework.SummaryDescription

equals(Object) - Method in class org.tensorflow.framework.SummaryMetadata

equals(Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

equals(Object) - Method in class org.tensorflow.framework.TensorConnection

equals(Object) - Method in class org.tensorflow.framework.TensorDescription

equals(Object) - Method in class org.tensorflow.framework.TensorInfo.CooSparse

equals(Object) - Method in class org.tensorflow.framework.TensorInfo

equals(Object) - Method in class org.tensorflow.framework.TensorProto

equals(Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim

equals(Object) - Method in class org.tensorflow.framework.TensorShapeProto

equals(Object) - Method in class org.tensorflow.framework.TensorSliceProto

equals(Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent

equals(Object) - Method in class org.tensorflow.framework.ThreadPoolOptionProto

equals(Object) - Method in class org.tensorflow.framework.ValuesDef

equals(Object) - Method in class org.tensorflow.framework.VariableDef

equals(Object) - Method in class org.tensorflow.framework.VariantTensorDataProto

equals(Object) - Method in class org.tensorflow.framework.VersionDef

equals(Object) - Method in class org.tensorflow.framework.WhileContextDef

equals(Object) - Method in class org.tensorflow.util.BundleEntryProto

equals(Object) - Method in class org.tensorflow.util.BundleHeaderProto

equals(Object) - Method in class org.tensorflow.util.IteratorStateMetadata

equals(Object) - Method in class org.tensorflow.util.SaverDef

equals(Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

equals(Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

equals(Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

equals(Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

equals(Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

equals(Object) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

equals(Object) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

equals(Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

equals(Object) - Method in class tensorflow.TransportOptions.RecvBufRespExtra

EqualsCondition - Class in org.nd4j.linalg.indexing.conditions

EqualsCondition() - Constructor for class org.nd4j.linalg.indexing.conditions.EqualsCondition

Special constructor for pairwise boolean operations.

EqualsCondition(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EqualsCondition

EqualsFn() - Constructor for class org.nd4j.linalg.util.ND4JTestUtils.EqualsFn

equalShapes(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

equalShapes(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks 2 INDArrays for equal shapes.
Shapes are considered equal if:
(a) Both arrays have equal rank, and
(b) size(0)...size(rank()-1) are equal for both arrays

equalsWithEps(Object, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

equalsWithEps(Object, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks 2 INDArrays equality with given eps

EqualsWithEps - Class in org.nd4j.linalg.api.ops.impl.reduce3

EqualsWithEps() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(SameDiff, SDVariable, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(SameDiff, SDVariable, SDVariable, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(SameDiff, SDVariable, SDVariable, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(SameDiff, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, boolean, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, INDArray, boolean, boolean, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, INDArray, boolean, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEps(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

EqualsWithEpsFn() - Constructor for class org.nd4j.linalg.util.ND4JTestUtils.EqualsWithEpsFn

EqualTo - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

EqualTo() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

EqualTo(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

EqualTo(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

EqualTo(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

EqualTo(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

EqualTo(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

erf(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise Gaussian error function - out = erf(in)

erf(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise Gaussian error function - out = erf(in)

erf(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise Gaussian error function - out = erf(in)

Erf - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Erf(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Erf

Erf(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Erf

Erf(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Erf

Erf(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Erf

erfc(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise complementary Gaussian error function - out = erfc(in) = 1 - erf(in)

erfc(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise complementary Gaussian error function - out = erfc(in) = 1 - erf(in)

erfc(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise complementary Gaussian error function - out = erfc(in) = 1 - erf(in)

Erfc - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Erfc(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Erfc

Erfc(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Erfc

Erfc(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Erfc

Erfc(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Erfc

ERROR_ON_NOT_EQUAL - org.nd4j.ir.MapperNamespace.VariableResolutionType

ERROR_ON_NOT_EQUAL = 2;

ERROR_ON_NOT_EQUAL_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

ERROR_ON_NOT_EQUAL = 2;

ErrorCodesProtos - Class in org.tensorflow.framework

estimateVariance(INDArray, int) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA

Estimate the variance of a single record with reduced # of dimensions.

euclideanDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

euclideanDistance(String, SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean distance (l2 norm, l2 distance) reduction operation.

euclideanDistance(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean distance (l2 norm, l2 distance) reduction operation.

euclideanDistance(SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean distance (l2 norm, l2 distance) reduction operation.

euclideanDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean distance (l2 norm, l2 distance) reduction operation.

euclideanDistance(INDArray, INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Euclidean distance (l2 norm, l2 distance) reduction operation.

euclideanDistance(INDArray, INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Euclidean distance (l2 norm, l2 distance) reduction operation.

EuclideanDistance - Class in org.nd4j.linalg.api.ops.impl.reduce3

EuclideanDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(SameDiff, SDVariable, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

EuclideanDistance(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

eval() - Method in class org.nd4j.autodiff.samediff.SDVariable

Evaluate the result of this variable

eval(int, int) - Method in class org.nd4j.evaluation.classification.Evaluation

Evaluate a single prediction (one prediction at a time)

eval(INDArray, INDArray, List<? extends Serializable>) - Method in class org.nd4j.evaluation.BaseEvaluation

eval(Map<String, INDArray>) - Method in class org.nd4j.autodiff.samediff.SDVariable

Evaluate the result of this variable

eval(SameDiff, SameDiffFunctionDefinition, SDVariable[]) - Method in class org.nd4j.autodiff.samediff.impl.DefaultSameDiffConditional

eval(SameDiff, SameDiffFunctionDefinition, SDVariable[]) - Method in interface org.nd4j.autodiff.samediff.SameDiffConditional

eval(INDArray, INDArray) - Method in class org.nd4j.evaluation.BaseEvaluation

eval(INDArray, INDArray) - Method in class org.nd4j.evaluation.classification.Evaluation

Collects statistics on the real outcomes vs the guesses.

eval(INDArray, INDArray) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

eval(INDArray, INDArray) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

eval(INDArray, INDArray) - Method in interface org.nd4j.evaluation.IEvaluation

eval(INDArray, INDArray) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

eval(INDArray, INDArray, List<? extends Serializable>) - Method in interface org.nd4j.evaluation.IEvaluation

eval(INDArray, INDArray, INDArray) - Method in class org.nd4j.evaluation.BaseEvaluation

eval(INDArray, INDArray, INDArray) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

eval(INDArray, INDArray, INDArray) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

eval(INDArray, INDArray, INDArray) - Method in interface org.nd4j.evaluation.IEvaluation

eval(INDArray, INDArray, INDArray) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in class org.nd4j.evaluation.classification.Evaluation

Evaluate the network, with optional metadata

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in class org.nd4j.evaluation.classification.ROC

Evaluate (collect statistics for) the given minibatch of data.

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in class org.nd4j.evaluation.classification.ROCBinary

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Evaluate the network, with optional metadata

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in class org.nd4j.evaluation.custom.CustomEvaluation

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in interface org.nd4j.evaluation.custom.EvaluationLambda

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in interface org.nd4j.evaluation.IEvaluation

eval(INDArray, INDArray, INDArray, List<? extends Serializable>) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

evalTimeSeries(INDArray, INDArray) - Method in class org.nd4j.evaluation.BaseEvaluation

evalTimeSeries(INDArray, INDArray) - Method in interface org.nd4j.evaluation.IEvaluation

Deprecated.

Use IEvaluation.eval(INDArray, INDArray)

evalTimeSeries(INDArray, INDArray, INDArray) - Method in class org.nd4j.evaluation.BaseEvaluation

evalTimeSeries(INDArray, INDArray, INDArray) - Method in interface org.nd4j.evaluation.IEvaluation

Deprecated.

Use IEvaluation.eval(INDArray, INDArray, INDArray)

evaluate() - Method in class org.nd4j.autodiff.samediff.SameDiff

Set up for a evaluation operation using EvaluationConfig.

evaluate(String, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

Add evaluations to be preformed on a specified variable, and set that variable's label index.

evaluate(String, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

Add evaluations to be preformed on a specified variable, without setting a label index.

evaluate(SDVariable, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

See EvaluationConfig.evaluate(String, int, IEvaluation[])

evaluate(SDVariable, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

See EvaluationConfig.evaluate(String, IEvaluation[])

evaluate(DataSetIterator, String, List<Listener>, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Evaluate the performance of a single variable's prediction.
For example, if the variable to evaluatate was called "softmax" you would use:

evaluate(DataSetIterator, String, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.evaluate(DataSetIterator, String, List, IEvaluation[]).

evaluate(DataSetIterator, Map<String, IEvaluation>, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Evaluation for multiple-output networks.
See SameDiff.evaluate(MultiDataSetIterator, Map, Map, Listener[]).

evaluate(MultiDataSetIterator, String, int, List<Listener>, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Evaluate the performance of a single variable's prediction.
For example, if the variable to evaluatate was called "softmax" you would use:

evaluate(MultiDataSetIterator, String, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.evaluate(MultiDataSetIterator, String, int, List, IEvaluation[]).

evaluate(MultiDataSetIterator, Map<String, List<IEvaluation>>, Map<String, Integer>, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Perform evaluation using classes such as Evaluation for classifier outputs and RegressionEvaluation for regression outputs.

Example: classifier evaluation
Predictions variable name: "softmaxOutput"
Evaluations to perform: Evaluation
Data: single input, single output MultiDataSets
Code:

evaluateMultiple(DataSetIterator, Map<String, List<IEvaluation>>, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Evaluation for multiple output networks - one or more.

evaluation(Class<T>) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the evaluation of a given type

evaluation(String) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the evaluation for a given param/variable

evaluation(String, int) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the evaluation for param at the specified index

evaluation(String, Class<T>) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the evaluation of a given type, for a given param/variable

evaluation(SDVariable) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the evaluation for a given param/variable

evaluation(SDVariable, int) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the evaluation for param at the specified index

evaluation(SDVariable, Class<T>) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the evaluation of a given type, for a given param/variable

Evaluation - Class in org.nd4j.evaluation.classification

Evaluation() - Constructor for class org.nd4j.evaluation.classification.Evaluation

Evaluation(double) - Constructor for class org.nd4j.evaluation.classification.Evaluation

Create an evaluation instance with a custom binary decision threshold.

Evaluation(double, Integer) - Constructor for class org.nd4j.evaluation.classification.Evaluation

Create an evaluation instance with a custom binary decision threshold.

Evaluation(int) - Constructor for class org.nd4j.evaluation.classification.Evaluation

The number of classes to account for in the evaluation

Evaluation(int, Integer) - Constructor for class org.nd4j.evaluation.classification.Evaluation

Constructor for specifying the number of classes, and optionally the positive class for binary classification.

Evaluation(int, Integer, int, List<String>, Double, INDArray, int) - Constructor for class org.nd4j.evaluation.classification.Evaluation

Evaluation(List<String>) - Constructor for class org.nd4j.evaluation.classification.Evaluation

The labels to include with the evaluation.

Evaluation(List<String>, int) - Constructor for class org.nd4j.evaluation.classification.Evaluation

Constructor to use for top N accuracy

Evaluation(List<String>, INDArray) - Constructor for class org.nd4j.evaluation.classification.Evaluation

Created evaluation instance with the specified cost array.

Evaluation(Map<Integer, String>) - Constructor for class org.nd4j.evaluation.classification.Evaluation

Use a map to generate labels Pass in a label index with the actual label you want to use for output

Evaluation(INDArray) - Constructor for class org.nd4j.evaluation.classification.Evaluation

Created evaluation instance with the specified cost array.

EVALUATION - org.nd4j.autodiff.listeners.Operation

Evaluation operations: SameDiff.evaluate() methods.

EVALUATION - org.nd4j.graph.ui.LogFileWriter.EventSubtype

EVALUATION - Static variable in class org.nd4j.graph.UIEventSubtype

Evaluation.Metric - Enum in org.nd4j.evaluation.classification

EvaluationAveraging - Enum in org.nd4j.evaluation

EvaluationBinary - Class in org.nd4j.evaluation.classification

EvaluationBinary(int, Integer) - Constructor for class org.nd4j.evaluation.classification.EvaluationBinary

This constructor allows for ROC to be calculated in addition to the standard evaluation metrics, when the rocBinarySteps arg is non-null.

EvaluationBinary(int, ROCBinary, List<String>, INDArray) - Constructor for class org.nd4j.evaluation.classification.EvaluationBinary

EvaluationBinary(INDArray) - Constructor for class org.nd4j.evaluation.classification.EvaluationBinary

Create an EvaulationBinary instance with an optional decision threshold array.

EvaluationBinary.Metric - Enum in org.nd4j.evaluation.classification

EvaluationCalibration - Class in org.nd4j.evaluation.classification

EvaluationCalibration() - Constructor for class org.nd4j.evaluation.classification.EvaluationCalibration

Create an EvaluationCalibration instance with the default number of bins

EvaluationCalibration(int, int) - Constructor for class org.nd4j.evaluation.classification.EvaluationCalibration

Create an EvaluationCalibration instance with the specified number of bins

EvaluationCalibration(int, int, boolean) - Constructor for class org.nd4j.evaluation.classification.EvaluationCalibration

Create an EvaluationCalibration instance with the specified number of bins

EvaluationCalibration(int, int, int, boolean) - Constructor for class org.nd4j.evaluation.classification.EvaluationCalibration

EvaluationConfig - Class in org.nd4j.autodiff.samediff.config

EvaluationConfig(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.config.EvaluationConfig

EvaluationLambda<T> - Interface in org.nd4j.evaluation.custom

EvaluationRecord - Class in org.nd4j.autodiff.listeners.records

EvaluationRecord(Map<String, List<IEvaluation>>) - Constructor for class org.nd4j.autodiff.listeners.records.EvaluationRecord

evaluations() - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

Return the requested evaluations.

evaluations() - Method in class org.nd4j.autodiff.listeners.impl.HistoryListener

evaluations() - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get all evaluations

evaluations(String) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get evaluations for a given param/variable

evaluations(SDVariable) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get evaluations for a given param/variable

EvaluationUtils - Class in org.nd4j.evaluation

EvaluationUtils() - Constructor for class org.nd4j.evaluation.EvaluationUtils

evaluationVariables() - Method in class org.nd4j.autodiff.listeners.ListenerVariables

Get required evaluation variables

evaluationVariables(String...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for evaluation

evaluationVariables(SDVariable...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for evaluation

Event - Enum in org.nd4j.linalg.heartbeat.reports

eventsCount - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree

eventSubType() - Method in class org.nd4j.graph.UIEvent

eventType() - Method in class org.nd4j.graph.UIEvent

EVERY_N - org.nd4j.autodiff.validation.GradCheckUtil.Subset

EVERYWHERE - org.nd4j.linalg.api.concurrency.AffinityManager.Location

ews - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo

exampleMaxs() - Method in interface org.nd4j.linalg.dataset.api.DataSet

exampleMaxs() - Method in class org.nd4j.linalg.dataset.DataSet

exampleMeans() - Method in interface org.nd4j.linalg.dataset.api.DataSet

exampleMeans() - Method in class org.nd4j.linalg.dataset.DataSet

exampleSums() - Method in interface org.nd4j.linalg.dataset.api.DataSet

exampleSums() - Method in class org.nd4j.linalg.dataset.DataSet

EXCLUDE_PADDING - org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D.Divisor

exclusive - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

exclusive - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

EXCLUSIVE_RESOURCE_ACCESS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CriticalSectionExecutionDef

exec() - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Deprecated.

Use BatchOutputConfig.output()

exec() - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

Run the evaluation.

exec() - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Do the training.

exec() - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Do inference and return the results.

exec(List<Aggregate>) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(List<Aggregate>) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method takes arbitrary sized list of aggregates, and packs them into batches

exec(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.params.MMulTranspose

Execute the matrix multiplication: A x B Note that if a or b have transposeA/B == true, then this is done internally.

exec(Aggregate) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Aggregate) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

exec(Batch<T>) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Batch<T>) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method executes previously built batch

exec(BroadcastOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(BroadcastOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute a broadcast op, possibly along one or more dimensions

exec(CustomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(CustomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

exec(CustomOp) - Static method in class org.nd4j.linalg.factory.Nd4j

Execute the operation and return the result

exec(CustomOp, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(CustomOp, OpContext) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method executes op with given context

exec(CustomOp, OpContext) - Static method in class org.nd4j.linalg.factory.Nd4j

Execute the operation and return the result

exec(GridOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(GridOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute GridOp

exec(Variance) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Variance) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute an variance accumulation op, possibly along one or more dimensions

exec(IndexAccumulation) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(IndexAccumulation) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute an index accumulation along one or more dimensions

exec(MetaOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(MetaOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute MetaOp

exec(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Op) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute the operation

exec(Op) - Static method in class org.nd4j.linalg.factory.Nd4j

Execute the operation and return the result

exec(Op, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Op, OpContext) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute the operation

exec(Op, OpContext) - Static method in class org.nd4j.linalg.factory.Nd4j

exec(RandomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

This method executes specified RandomOp using default RNG available via Nd4j.getRandom()

exec(RandomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method executes specified RandomOp using default RNG available via Nd4j.getRandom()

exec(RandomOp, Random) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

This method executes specific RandomOp against specified RNG

exec(RandomOp, Random) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method executes specific RandomOp against specified RNG

exec(ReduceOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(ReduceOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute a reduceOp, possibly along one or more dimensions

exec(ScalarOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(ScalarOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute ScalarOp

EXEC_OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

EXEC_START - org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

EXEC_THREADS - Static variable in class org.nd4j.linalg.executors.ExecutorServiceProvider

execAndReturn(BroadcastOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(BroadcastOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from a vector op

execAndReturn(CustomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(CustomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method executes given CustomOp PLEASE NOTE: You're responsible for input/output validation

execAndReturn(Variance) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(Variance) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from an accumulation

execAndReturn(IndexAccumulation) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(IndexAccumulation) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from an index accumulation

execAndReturn(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(Op) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return a result ndarray from the given op

execAndReturn(ReduceOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(ReduceOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from an accumulation

execAndReturn(ScalarOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(ScalarOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from a scalar op

execAndReturn(TransformOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(TransformOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute a TransformOp and return the result

execBatches() - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Do inference and return the results in batches.

ExecDebuggingListener - Class in org.nd4j.autodiff.listeners.debugging

ExecDebuggingListener(ExecDebuggingListener.PrintMode, int, boolean) - Constructor for class org.nd4j.autodiff.listeners.debugging.ExecDebuggingListener

ExecDebuggingListener.PrintMode - Enum in org.nd4j.autodiff.listeners.debugging

ExecDoneDep() - Constructor for class org.nd4j.autodiff.samediff.internal.InferenceSession.ExecDoneDep

execFailed(Set<String>, Map<String, SDValue>, Set<String>, Set<String>, int) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Execution failed - can't calculate all requested outputs, and there's nothing left to calculate.

execSingle() - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Deprecated.

Use BatchOutputConfig.outputSingle()

execSingle() - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Do inference and return the results for the single output variable specified.

execSingleBatches() - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Do inference and return the results (in batches) for the single output variable specified.

ExecStep(AbstractSession.ExecType, String, FrameIter) - Constructor for class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStep

ExecStepPredicate() - Constructor for class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStepPredicate

EXECUTE_IN_CRITICAL_SECTION_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CriticalSectionExecutionDef

executeGraph(long, Map<String, INDArray>, Map<String, Integer>) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

executeGraph(long, Map<String, INDArray>, Map<String, Integer>) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

executionMode - Variable in class org.nd4j.linalg.api.ops.BaseOpContext

executionMode() - Method in class org.nd4j.graph.FlatConfiguration

ExecutionMode - Class in org.nd4j.graph

ExecutionMode - Enum in org.nd4j.autodiff.execution.conf

ExecutionMode - Enum in org.nd4j.linalg.api.ops

ExecutionResult - Class in org.nd4j.autodiff.samediff.config

ExecutionResult() - Constructor for class org.nd4j.autodiff.samediff.config.ExecutionResult

EXECUTOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

ExecutorConfiguration - Class in org.nd4j.autodiff.execution.conf

ExecutorConfiguration() - Constructor for class org.nd4j.autodiff.execution.conf.ExecutorConfiguration

ExecutorOpts - Class in org.tensorflow.distruntime

Options specific to the execution of a single step.

ExecutorOpts.Builder - Class in org.tensorflow.distruntime

Options specific to the execution of a single step.

ExecutorOptsOrBuilder - Interface in org.tensorflow.distruntime

ExecutorServiceProvider - Class in org.nd4j.linalg.executors

ExecutorServiceProvider() - Constructor for class org.nd4j.linalg.executors.ExecutorServiceProvider

ExistingMiniBatchDataSetIterator - Class in org.nd4j.linalg.dataset

ExistingMiniBatchDataSetIterator(File) - Constructor for class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

Create with the given root directory, using the default filename pattern ExistingMiniBatchDataSetIterator.DEFAULT_PATTERN

ExistingMiniBatchDataSetIterator(File, String) - Constructor for class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

Exit - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat

Exit(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

exp(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise exponent function: out = exp(x) = 2.71828...^x

exp(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise exponent function: out = exp(x) = 2.71828...^x

exp(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise exponent function: out = exp(x) = 2.71828...^x

exp(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Run the exp operation

exp(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Exp function

Exp - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Exp(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Exp

Exp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Exp

Exp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Exp

Exp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Exp

expandDims(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reshape the input by adding a 1 at the specified location.
For example, if input has shape [a, b], then output shape is:
axis = 0: [1, a, b]
axis = 1: [a, 1, b]
axis = 2: [a, b, 1]

expandDims(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reshape the input by adding a 1 at the specified location.
For example, if input has shape [a, b], then output shape is:
axis = 0: [1, a, b]
axis = 1: [a, 1, b]
axis = 2: [a, b, 1]

expandDims(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Expand the array dimensions.

expandDims(INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Reshape the input by adding a 1 at the specified location.
For example, if input has shape [a, b], then output shape is:
axis = 0: [1, a, b]
axis = 1: [a, 1, b]
axis = 2: [a, b, 1]

ExpandDims - Class in org.nd4j.linalg.api.ops.impl.shape

ExpandDims() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

ExpandDims(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

ExpandDims(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

ExpandDims(SameDiff, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

ExpandDims(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

ExpandDims(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

ExpandDims(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

expected(String, INDArray) - Method in class org.nd4j.autodiff.validation.TestCase

Validate the output (forward pass) for a single variable using INDArray.equals(INDArray)

expected(SDVariable, INDArray) - Method in class org.nd4j.autodiff.validation.TestCase

Validate the output (forward pass) for a single variable using INDArray.equals(INDArray)

expected(String, Function<INDArray, String>) - Method in class org.nd4j.autodiff.validation.TestCase

expected(SDVariable, Function<INDArray, String>) - Method in class org.nd4j.autodiff.validation.TestCase

expectedOutput(int, LongShapeDescriptor, Function<INDArray, String>) - Method in class org.nd4j.autodiff.validation.OpTestCase

expectedOutput(int, INDArray) - Method in class org.nd4j.autodiff.validation.OpTestCase

Validate the op output using INDArray.equals(INDArray)

expectedOutput(int, INDArray, double) - Method in class org.nd4j.autodiff.validation.OpTestCase

Validate the op output using INDArray.equals(INDArray)

expectedOutput(String, INDArray) - Method in class org.nd4j.autodiff.validation.TestCase

Validate the output (forward pass) for a single variable using INDArray.equals(INDArray)

expectedOutput(String, INDArray, double) - Method in class org.nd4j.autodiff.validation.TestCase

Validate the output (forward pass) for a single variable using INDArray.equals(INDArray)

expectedOutputRelError(int, INDArray, double, double) - Method in class org.nd4j.autodiff.validation.OpTestCase

Validate the output for a single variable using element-wise relative error: relError = abs(x-y)/(abs(x)+abs(y)), with x=y=0 case defined to be 0.0.

expectedOutputRelError(String, INDArray, double, double) - Method in class org.nd4j.autodiff.validation.TestCase

Validate the output (forward pass) for a single variable using element-wise relative error: relError = abs(x-y)/(abs(x)+abs(y)), with x=y=0 case defined to be 0.0.

EXPERIMENTAL - onnx.Onnx.OperatorStatus

EXPERIMENTAL = 0;

EXPERIMENTAL - onnx.OnnxMl.OperatorStatus

EXPERIMENTAL = 0;

EXPERIMENTAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

EXPERIMENTAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions

EXPERIMENTAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunOptions

EXPERIMENTAL_VALUE - Static variable in enum onnx.Onnx.OperatorStatus

EXPERIMENTAL = 0;

EXPERIMENTAL_VALUE - Static variable in enum onnx.OnnxMl.OperatorStatus

EXPERIMENTAL = 0;

EXPLANATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDeprecation

EXPLICIT - org.nd4j.autodiff.execution.conf.OutputMode

only declared output fields

EXPLICIT - Static variable in class org.nd4j.graph.OutputMode

EXPLICIT_AND_IMPLICIT - org.nd4j.autodiff.execution.conf.OutputMode

both options enabled

EXPLICIT_AND_IMPLICIT - Static variable in class org.nd4j.graph.OutputMode

expm1(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise 1.0 - exponent function: out = 1.0 - exp(x) = 1.0 - 2.71828...^x

expm1(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise 1.0 - exponent function: out = 1.0 - exp(x) = 1.0 - 2.71828...^x

expm1(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise 1.0 - exponent function: out = 1.0 - exp(x) = 1.0 - 2.71828...^x

expm1(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Elementwise exponential - 1 function

Expm1 - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Expm1(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Expm1

Expm1(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Expm1

Expm1(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Expm1

Expm1(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Expm1

exponential(double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a exponential distribution:
P(x) = lambda * exp(-lambda * x)
Inputs must satisfy the following constraints:
Must be positive: lambda > 0

exponential(double, DataType, long...) - Method in class org.nd4j.linalg.factory.ops.NDRandom

Generate a new random INDArray, where values are randomly sampled according to a exponential distribution:
P(x) = lambda * exp(-lambda * x)
Inputs must satisfy the following constraints:
Must be positive: lambda > 0

exponential(String, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a exponential distribution:
P(x) = lambda * exp(-lambda * x)
Inputs must satisfy the following constraints:
Must be positive: lambda > 0

ExponentialSchedule - Class in org.nd4j.linalg.schedule

ExponentialSchedule(ScheduleType, double, double) - Constructor for class org.nd4j.linalg.schedule.ExponentialSchedule

EXPORT - org.nd4j.linalg.heartbeat.reports.Event

ExtendSessionRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ExtendSessionRequest

ExtendSessionRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ExtendSessionRequest

ExtendSessionRequestOrBuilder - Interface in org.tensorflow.distruntime

ExtendSessionResponse - Class in org.tensorflow.distruntime

TODO(mrry): Return something about the operation?

ExtendSessionResponse.Builder - Class in org.tensorflow.distruntime

TODO(mrry): Return something about the operation?

ExtendSessionResponseOrBuilder - Interface in org.tensorflow.distruntime

EXTENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorSliceProto

EXTERNAL - onnx.Onnx.TensorProto.DataLocation

EXTERNAL = 1;

EXTERNAL - onnx.OnnxMl.TensorProto.DataLocation

EXTERNAL = 1;

EXTERNAL - org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

EXTERNAL = 1;

EXTERNAL - org.nd4j.linalg.api.memory.enums.SpillPolicy

This policy means - use external allocation for spills.

EXTERNAL_DATA_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

EXTERNAL_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

EXTERNAL_DATA_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

EXTERNAL_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataLocation

EXTERNAL = 1;

EXTERNAL_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataLocation

EXTERNAL = 1;

EXTERNAL_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

EXTERNAL = 1;

EXTERNAL_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ValuesDef

externalAllocations - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

externalCall() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

externalCall() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

externalCount - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

externalErrors(SameDiff, Map<String, INDArray>, SDVariable...) - Static method in class org.nd4j.autodiff.util.SameDiffUtils

externalErrors(SameDiff, SDVariable[]) - Static method in class org.nd4j.autodiff.util.SameDiffUtils

ExternalErrorsFunction - Class in org.nd4j.linalg.api.ops.impl.layers

ExternalErrorsFunction() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

ExternalErrorsFunction(SameDiff, List<SDVariable>, Map<String, INDArray>) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

extraArgs - Variable in class org.nd4j.autodiff.functions.DifferentialFunction

extraArgs() - Method in class org.nd4j.linalg.api.ops.BaseOp

extraArgs() - Method in interface org.nd4j.linalg.api.ops.Op

Extra arguments

extraArgsBuff() - Method in class org.nd4j.linalg.api.ops.BaseOp

extraArgsBuff() - Method in interface org.nd4j.linalg.api.ops.Op

Returns a buffer of either float or double of the extra args for this buffer

extraArgsDataBuff(DataType) - Method in class org.nd4j.linalg.api.ops.BaseOp

extraArgsDataBuff(DataType) - Method in interface org.nd4j.linalg.api.ops.Op

Returns the extra args as a data buffer

extraArgz - Variable in class org.nd4j.linalg.api.ops.BaseOp

extraBools(int) - Method in class org.nd4j.graph.FlatNode

extraBoolsAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

extraBoolsInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

extraBoolsLength() - Method in class org.nd4j.graph.FlatNode

extraBoolsVector() - Method in class org.nd4j.graph.FlatNode

extraBoolsVector(BooleanVector) - Method in class org.nd4j.graph.FlatNode

extractComponents(INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

extractImagePatches(String, SDVariable, int[], int[], int[], boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Given an input image, extract out image patches (of size kSizes - h x w) and place them in the depth dimension.

extractImagePatches(String, SDVariable, int, int, int, int, int, int, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Extract image patches

extractImagePatches(SDVariable, int[], int[], int[], boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Given an input image, extract out image patches (of size kSizes - h x w) and place them in the depth dimension.

extractImagePatches(SDVariable, int, int, int, int, int, int, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Extract image patches

extractImagePatches(INDArray, int[], int[], int[], boolean) - Method in class org.nd4j.linalg.factory.ops.NDImage

Given an input image, extract out image patches (of size kSizes - h x w) and place them in the depth dimension.

extractImagePatches(INDArray, int, int, int, int, int, int, boolean) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Extract image patches

ExtractImagePatches - Class in org.nd4j.linalg.api.ops.impl.image

ExtractImagePatches() - Constructor for class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

ExtractImagePatches(SameDiff, SDVariable, @lombok.NonNull int[], @lombok.NonNull int[], @lombok.NonNull int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

ExtractImagePatches(SameDiff, SDVariable, int, int, int, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

ExtractImagePatches(INDArray, @lombok.NonNull int[], @lombok.NonNull int[], @lombok.NonNull int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

ExtractImagePatches(INDArray, int, int, int, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

extractNonMaskedTimeSteps(INDArray, INDArray, INDArray) - Static method in class org.nd4j.evaluation.EvaluationUtils

extraInteger(int) - Method in class org.nd4j.graph.FlatNode

extraIntegerAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

extraIntegerInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

extraIntegerLength() - Method in class org.nd4j.graph.FlatNode

extraIntegerVector() - Method in class org.nd4j.graph.FlatNode

extraIntegerVector(LongVector) - Method in class org.nd4j.graph.FlatNode

extraParams(int) - Method in class org.nd4j.graph.FlatNode

extraParamsAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

extraParamsInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

extraParamsLength() - Method in class org.nd4j.graph.FlatNode

extraParamsVector() - Method in class org.nd4j.graph.FlatNode

extraParamsVector(DoubleVector) - Method in class org.nd4j.graph.FlatNode

extrapolationValue - Variable in class org.nd4j.linalg.api.ops.impl.image.CropAndResize

extras - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo

extras(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

extraStrings(int) - Method in class org.nd4j.graph.FlatNode

extraStringsLength() - Method in class org.nd4j.graph.FlatNode

extraStringsVector() - Method in class org.nd4j.graph.FlatNode

extraStringsVector(StringVector) - Method in class org.nd4j.graph.FlatNode

extraTypes(int) - Method in class org.nd4j.graph.FlatNode

extraTypesAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

extraTypesInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

extraTypesLength() - Method in class org.nd4j.graph.FlatNode

extraTypesVector() - Method in class org.nd4j.graph.FlatNode

extraTypesVector(ByteVector) - Method in class org.nd4j.graph.FlatNode

eye(int) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Generate an identity matrix with the specified number of rows and columns.

eye(int) - Method in class org.nd4j.linalg.factory.ops.NDMath

Generate an identity matrix with the specified number of rows and columns.

eye(int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

As per eye(String, int, int, DataType) but with the default datatype, Eye.DEFAULT_DTYPE

eye(int, int) - Method in class org.nd4j.linalg.factory.ops.NDMath

As per eye(String, int, int, DataType) but with the default datatype, Eye.DEFAULT_DTYPE

eye(int, int, DataType, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Generate an identity matrix with the specified number of rows and columns
Example:

eye(int, int, DataType, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Generate an identity matrix with the specified number of rows and columns
Example:

eye(long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create the identity ndarray

eye(long) - Static method in class org.nd4j.linalg.factory.Nd4j

Create the identity ndarray

eye(long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create the identity ndarray

eye(String, int) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Generate an identity matrix with the specified number of rows and columns.

eye(String, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

As per eye(String, int, int, DataType) but with the default datatype, Eye.DEFAULT_DTYPE

eye(String, int, int, DataType, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Generate an identity matrix with the specified number of rows and columns
Example:

eye(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

As per eye(String, int) but with the number of rows specified as a scalar INDArray

eye(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

As per eye(int, int) bit with the number of rows/columns specified as scalar INDArrays

eye(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

As per eye(String, int) but with the number of rows specified as a scalar INDArray

eye(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

As per eye(int, int) bit with the number of rows/columns specified as scalar INDArrays

eye(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

As per eye(String, int) but with the number of rows specified as a scalar INDArray

eye(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

As per eye(int, int) bit with the number of rows/columns specified as scalar INDArrays

Eye - Class in org.nd4j.linalg.api.ops.impl.shape

Eye() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(int, int, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(int, int, DataType, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(SameDiff, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(SameDiff, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(SameDiff, int, int, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(SameDiff, int, int, DataType, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

Eye(SameDiff, SDVariable, SDVariable, DataType, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Eye

F

f - org.nd4j.autodiff.listeners.profiler.data.Phase

f(String, Object) - Static method in class org.nd4j.systeminfo.SystemInfo

F - org.tensorflow.framework.AttrValue.ValueCase

F_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

F_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

F_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

F_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue

F_ORDER - Static variable in class org.nd4j.linalg.api.ops.impl.shape.Reshape

f1() - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the F1 score
F1 score is defined as:
TP: true positive
FP: False Positive
FN: False Negative
F1 score: 2 * TP / (2TP + FP + FN)

Note: value returned will differ depending on number of classes and settings.
1.

f1(int) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate f1 score for a given class

f1(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the F1 score for the specified output

f1(EvaluationAveraging) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the average F1 score across all classes, using macro or micro averaging

F1 - org.nd4j.evaluation.classification.Evaluation.Metric

F1 - org.nd4j.evaluation.classification.EvaluationBinary.Metric

factory() - Static method in class org.nd4j.linalg.factory.Nd4j

The factory used for creating ndarrays

FAIL - org.nd4j.linalg.api.memory.enums.SpillPolicy

This policy means - no spills will be ever possible, exception will be thrown.

FAILED_PRECONDITION - org.tensorflow.framework.Code

Operation was rejected because the system is not in a state required for the operation's execution.

FAILED_PRECONDITION_VALUE - Static variable in enum org.tensorflow.framework.Code

Operation was rejected because the system is not in a state required for the operation's execution.

FakeQuantWithMinMaxArgs - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

FakeQuantWithMinMaxArgs() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

FakeQuantWithMinMaxArgs(SameDiff, SDVariable, float, float, boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

FakeQuantWithMinMaxArgs(INDArray, INDArray, INDArray, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

FakeQuantWithMinMaxVars - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

FakeQuantWithMinMaxVars() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

FakeQuantWithMinMaxVars(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

FakeQuantWithMinMaxVars(INDArray, INDArray, INDArray, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

FakeQuantWithMinMaxVarsPerChannel - Class in org.nd4j.linalg.api.ops.custom

FakeQuantWithMinMaxVarsPerChannel() - Constructor for class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

FakeQuantWithMinMaxVarsPerChannel(SameDiff, SDVariable, SDVariable, SDVariable, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

FakeQuantWithMinMaxVarsPerChannel(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

FakeQuantWithMinMaxVarsPerChannel(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

FakeQuantWithMinMaxVarsPerChannel(INDArray, INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

FakeQuantWithMinMaxVarsPerChannel(INDArray, INDArray, INDArray, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

FallbackAction - Class in org.nd4j.linalg.env.impl

FallbackAction() - Constructor for class org.nd4j.linalg.env.impl.FallbackAction

falseAlarmRate() - Method in class org.nd4j.evaluation.classification.Evaluation

False Alarm Rate (FAR) reflects rate of misclassified to classified records http://ro.ecu.edu.au/cgi/viewcontent.cgi?article=1058&context=isw
Note: value returned will differ depending on number of classes and settings.
1.

falseAlarmRate(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

False Alarm Rate (FAR) reflects rate of misclassified to classified records http://ro.ecu.edu.au/cgi/viewcontent.cgi?article=1058&context=isw

falseNegativeRate() - Method in class org.nd4j.evaluation.classification.Evaluation

False negative rate based on guesses so far Note: value returned will differ depending on number of classes and settings.
1.

falseNegativeRate(long, long, double) - Static method in class org.nd4j.evaluation.EvaluationUtils

Calculate the false negative rate from the false negative counts and true positive count

falseNegativeRate(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the false negative rate for a given label

falseNegativeRate(Integer) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Returns the false negative rate for a given label

falseNegativeRate(Integer, double) - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the false negative rate for a given label

falseNegativeRate(Integer, double) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Returns the false negative rate for a given label

falseNegativeRate(EvaluationAveraging) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the average false negative rate for all classes - can specify whether macro or micro averaging should be used

falseNegatives - Variable in class org.nd4j.evaluation.classification.Evaluation

falseNegatives() - Method in class org.nd4j.evaluation.classification.Evaluation

False negatives: correctly rejected

falseNegatives(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the false negatives count for the specified output

falsePositiveRate() - Method in class org.nd4j.evaluation.classification.Evaluation

False positive rate based on guesses so far
Note: value returned will differ depending on number of classes and settings.
1.

falsePositiveRate(int) - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the false positive rate for a given label

falsePositiveRate(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Returns the false positive rate for a given label

falsePositiveRate(int, double) - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the false positive rate for a given label

falsePositiveRate(int, double) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Returns the false positive rate for a given label

falsePositiveRate(long, long, double) - Static method in class org.nd4j.evaluation.EvaluationUtils

Calculate the false positive rate from the false positive count and true negative count

falsePositiveRate(EvaluationAveraging) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the average false positive rate across all classes.

falsePositives - Variable in class org.nd4j.evaluation.classification.Evaluation

falsePositives() - Method in class org.nd4j.evaluation.classification.Evaluation

False positive: wrong guess

falsePositives(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the false positives count for the specified output

FAR - org.nd4j.evaluation.classification.EvaluationBinary.Metric

fastpath_b - Variable in class org.nd4j.linalg.api.ops.BaseOpContext

fastpath_d - Variable in class org.nd4j.linalg.api.ops.BaseOpContext

fastpath_i - Variable in class org.nd4j.linalg.api.ops.BaseOpContext

fastpath_in - Variable in class org.nd4j.linalg.api.ops.BaseOpContext

fastpath_out - Variable in class org.nd4j.linalg.api.ops.BaseOpContext

fastpath_t - Variable in class org.nd4j.linalg.api.ops.BaseOpContext

fBeta(double, double, double) - Static method in class org.nd4j.evaluation.EvaluationUtils

Calculate the F-beta value from precision and recall

fBeta(double, int) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the f_beta for a given class, where f_beta is defined as:
(1+beta^2) * (precision * recall) / (beta^2 * precision + recall).
F1 is a special case of f_beta, with beta=1.0

fBeta(double, int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Calculate the F-beta value for the given output

fBeta(double, int, double) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the f_beta for a given class, where f_beta is defined as:
(1+beta^2) * (precision * recall) / (beta^2 * precision + recall).
F1 is a special case of f_beta, with beta=1.0

fBeta(double, long, long, long) - Static method in class org.nd4j.evaluation.EvaluationUtils

Calculate the F beta value from counts

fBeta(double, EvaluationAveraging) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the average F_beta score across all classes, using macro or micro averaging

fBytes(long) - Static method in class org.nd4j.systeminfo.SystemInfo

fBytes(String, long) - Static method in class org.nd4j.systeminfo.SystemInfo

fdiv(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Floor division operation: elementwise this // x
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.

FEATURE_LABEL - org.nd4j.graph.ui.LogFileWriter.EventSubtype

FEATURE_LABEL - Static variable in class org.nd4j.graph.UIEventSubtype

FeatureUtil - Class in org.nd4j.linalg.util

FeatureUtil() - Constructor for class org.nd4j.linalg.util.FeatureUtil

FEED_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.PartialRunSetupRequest

FEED_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunCallableRequest

FEED_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepRequest

FEED_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CallableOptions

fetch(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

Fetches the next dataset.

FETCH_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.PartialRunSetupRequest

FETCH_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunCallableResponse

FETCH_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepRequest

FETCH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CallableOptions

FETCH_STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LoggingRequest

fetcher - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

fGpu - Static variable in class org.nd4j.systeminfo.GPUInfo

FILE_PATH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebuggedSourceFile

fileMode(UIListener.FileMode) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

FILENAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AssetFileDef

FILENAME_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.util.SaverDef

fileNamePrefix(String) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

fill(String, SDVariable, DataType, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Generate an output variable with the specified (dynamic) shape with all elements set to the specified value

fill(SDVariable, DataType, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Generate an output variable with the specified (dynamic) shape with all elements set to the specified value

fill(INDArray, DataType, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Generate an output variable with the specified (dynamic) shape with all elements set to the specified value

Fill - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Fill an array of given "shape" with the provided "value", e.g.

Fill() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

Fill(SameDiff, SDVariable, DataType, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

Fill(INDArray, DataType, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

Fill(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

Fill(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

fillFile(File, long) - Static method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

fillIn(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices

Fill in the missing indices to be the same length as the original shape.

fillPointerWithZero() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

filterAndStrip(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet

filterAndStrip(int[]) - Method in class org.nd4j.linalg.dataset.DataSet

Strips the dataset down to the specified labels and remaps them

filterBy(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet

filterBy(int[]) - Method in class org.nd4j.linalg.dataset.DataSet

Strips the data transform of all but the passed in labels

filterNonNull(T...) - Static method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights

finalResult - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

finalTrainingEvaluations() - Method in class org.nd4j.autodiff.listeners.records.History

Gets the training evaluations ran during the last epoch

finalValidationEvaluations() - Method in class org.nd4j.autodiff.listeners.records.History

Gets the validation evaluations ran during the last epoch

finishFlatArrayBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray

finishFlatConfigurationBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatConfiguration

finishFlatGraphBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

finishFlatInferenceRequestBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatInferenceRequest

finishFlatNodeBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

finishFlatPropertiesBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

finishFlatResultBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult

finishFlatVariableBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

finishSizePrefixedFlatArrayBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray

finishSizePrefixedFlatConfigurationBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatConfiguration

finishSizePrefixedFlatGraphBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

finishSizePrefixedFlatInferenceRequestBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatInferenceRequest

finishSizePrefixedFlatNodeBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

finishSizePrefixedFlatPropertiesBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

finishSizePrefixedFlatResultBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult

finishSizePrefixedFlatVariableBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

first() - Method in class org.nd4j.graph.IntPair

first() - Method in class org.nd4j.graph.IntTriple

first() - Method in class org.nd4j.graph.LongPair

first() - Method in class org.nd4j.graph.LongTriple

FIRST_LOOP - org.nd4j.linalg.api.memory.enums.LearningPolicy

This policy means - we learn during 1 cycle, and allocate workspace memory right after it's done.

FirstAxisIterator - Class in org.nd4j.linalg.api.iter

FirstAxisIterator(INDArray) - Constructor for class org.nd4j.linalg.api.iter.FirstAxisIterator

firstIndex(String, SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

First index reduction operation.
Returns a variable that contains the index of the first element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

firstIndex(String, SDVariable, Condition, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

First index reduction operation.
Returns a variable that contains the index of the first element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

firstIndex(SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

First index reduction operation.
Returns a variable that contains the index of the first element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

firstIndex(SDVariable, Condition, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

First index reduction operation.
Returns a variable that contains the index of the first element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

firstIndex(INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

This method returns first index matching given condition PLEASE NOTE: This method will return -1 value if condition wasn't met

firstIndex(INDArray, Condition, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

First index reduction operation.
Returns a variable that contains the index of the first element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

firstIndex(INDArray, Condition, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

First index reduction operation.
Returns a variable that contains the index of the first element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

firstIndex(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

This method returns first index matching given condition along given dimensions PLEASE NOTE: This method will return -1 values for missing conditions

FirstIndex - Class in org.nd4j.linalg.api.ops.impl.indexaccum

FirstIndex(SameDiff, SDVariable, boolean, Condition, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

FirstIndex(SameDiff, SDVariable, Condition, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

FirstIndex(INDArray, boolean, Condition, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

FirstIndex(INDArray, Condition, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

FirstIndex(INDArray, Condition, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

FirstIndex(INDArray, Condition, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

firstX(INDArray, int) - Static method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

fit() - Method in class org.nd4j.autodiff.samediff.SameDiff

Set up for a fit operation using FitConfig.

fit(DataSetIterator, int, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.fit(DataSetIterator, int, DataSetIterator, int, Listener...), does not preform validation.

fit(DataSetIterator, int, DataSetIterator, int, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Fit the SameDiff instance based on DataSetIterator for the specified number of epochs.
This method can only be used for singe input, single output SameDiff instances as DataSet only supports a single input and a single output.
Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.

fit(MultiDataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Fit an iterator

fit(MultiDataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Iterates over a dataset accumulating statistics for normalization

fit(MultiDataSetIterator, int, boolean, MultiDataSetIterator, int, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

fit(MultiDataSetIterator, int, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.fit(MultiDataSetIterator, int, MultiDataSetIterator, int, Listener...), does not preform validation.

fit(MultiDataSetIterator, int, MultiDataSetIterator, int, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Fit the SameDiff instance based on MultiDataSetIterator for the specified number of epochs.
This method can both singe input, single output and multi-input, multi-output SameDiff instances
Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.

fit(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Fit a MultiDataSet (only compute based on the statistics from this MultiDataSet)

fit(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Fit a MultiDataSet (only compute based on the statistics from this dataset)

fit(MultiDataSet, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Fit the SameDiff instance based on a single MultiDataSet (i.e., a single minibatch for one iteration).
Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.

fit(DataSet, Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Fit the SameDiff instance based on a single DataSet (i.e., a single minibatch for one iteration).
This method can only be used for singe input, single output SameDiff instances as DataSet only supports a single input and a single output.
Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.

fit(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Fit a dataset (only compute based on the statistics from this dataset)

fit(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

Fit a dataset (only compute based on the statistics from this dataset0

fit(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

Fit a dataset (only compute based on the statistics from this dataset0

fit(DataSetIterator) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

Fit the given model

fit(DataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Fit the given model

fit(DataSetIterator) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Iterates over a dataset accumulating statistics for normalization

fit(DataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

Iterates over a dataset accumulating statistics for normalization

fit(DataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

Iterates over a dataset accumulating statistics for normalization

fit(MultiDataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

fit(MultiDataSetIterator) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization

Iterates over a dataset accumulating statistics for normalization

fit(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

fit(DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

fit(T) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer

Fit a dataset (only compute based on the statistics from this dataset)

FitConfig - Class in org.nd4j.autodiff.samediff.config

FitConfig(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.config.FitConfig

fitHelper(MultiDataSetIterator, int, boolean, MultiDataSetIterator, int, List<Listener>) - Method in class org.nd4j.autodiff.samediff.SameDiff

fitLabel(boolean) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Flag to specify if the labels/outputs in the dataset should be also normalized default value is false

fitLabel(boolean) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Flag to specify if the labels/outputs in the dataset should be also normalized default value is false

fitLabel(boolean) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Flag to specify if the labels/outputs in the dataset should be also normalized.

fitLabel(boolean) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

fitLabel(boolean) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

FixedSchedule - Class in org.nd4j.linalg.schedule

FixedSchedule(double) - Constructor for class org.nd4j.linalg.schedule.FixedSchedule

flags(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

FlatArray - Class in org.nd4j.graph

FlatArray() - Constructor for class org.nd4j.graph.FlatArray

FlatArray.Vector - Class in org.nd4j.graph

FlatArrayList - Class in org.nd4j.graph

FlatArrayList() - Constructor for class org.nd4j.graph.FlatArrayList

FlatArrayList.Vector - Class in org.nd4j.graph

FlatBuffersMapper - Class in org.nd4j.autodiff.samediff.serde

FlatConfiguration - Class in org.nd4j.graph

FlatConfiguration() - Constructor for class org.nd4j.graph.FlatConfiguration

FlatConfiguration.Vector - Class in org.nd4j.graph

FlatDropRequest - Class in org.nd4j.graph

FlatDropRequest() - Constructor for class org.nd4j.graph.FlatDropRequest

FlatDropRequest.Vector - Class in org.nd4j.graph

FlatGraph - Class in org.nd4j.graph

FlatGraph() - Constructor for class org.nd4j.graph.FlatGraph

FlatGraph.Vector - Class in org.nd4j.graph

FlatInferenceRequest - Class in org.nd4j.graph

FlatInferenceRequest() - Constructor for class org.nd4j.graph.FlatInferenceRequest

FlatInferenceRequest.Vector - Class in org.nd4j.graph

FlatIterator - Class in org.nd4j.linalg.api.iter

FlatIterator(int[]) - Constructor for class org.nd4j.linalg.api.iter.FlatIterator

FlatNode - Class in org.nd4j.graph

FlatNode() - Constructor for class org.nd4j.graph.FlatNode

FlatNode.Vector - Class in org.nd4j.graph

FlatProperties - Class in org.nd4j.graph

FlatProperties() - Constructor for class org.nd4j.graph.FlatProperties

FlatProperties.Vector - Class in org.nd4j.graph

FlatResponse - Class in org.nd4j.graph

FlatResponse() - Constructor for class org.nd4j.graph.FlatResponse

FlatResponse.Vector - Class in org.nd4j.graph

FlatResult - Class in org.nd4j.graph

FlatResult() - Constructor for class org.nd4j.graph.FlatResult

FlatResult.Vector - Class in org.nd4j.graph

flatten(String, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a flattened variable with the specified ordering

flatten(String, SDVariable[], String) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a flattened variable with the specified ordering

flatten(SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a flattened variable with the specified ordering

flatten(SDVariable[], String) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a flattened variable with the specified ordering

flatten(INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return a flattened variable with the specified ordering

flatten(INDArray[], String) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return a flattened variable with the specified ordering

Flatten - Class in org.nd4j.linalg.api.ops.custom

Flatten(char, INDArray...) - Constructor for class org.nd4j.linalg.api.ops.custom.Flatten

Flatten(SameDiff, char, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.custom.Flatten

Flatten(SameDiff, SDVariable[], String) - Constructor for class org.nd4j.linalg.api.ops.custom.Flatten

Flatten(SameDiff, SDVariable, String) - Constructor for class org.nd4j.linalg.api.ops.custom.Flatten

Flatten(INDArray[], String) - Constructor for class org.nd4j.linalg.api.ops.custom.Flatten

Flatten(INDArray, String) - Constructor for class org.nd4j.linalg.api.ops.custom.Flatten

Flatten(INDArray, INDArray...) - Constructor for class org.nd4j.linalg.api.ops.custom.Flatten

Flatten2D - Class in org.nd4j.linalg.api.ops.impl.shape

Flatten2D(SameDiff, SDVariable, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

Flatten2D(INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

FlatTiming - Class in org.nd4j.graph

FlatTiming() - Constructor for class org.nd4j.graph.FlatTiming

FlatTiming.Vector - Class in org.nd4j.graph

FlatVariable - Class in org.nd4j.graph

FlatVariable() - Constructor for class org.nd4j.graph.FlatVariable

FlatVariable.Vector - Class in org.nd4j.graph

FLEXIBLE_ENCODING - Static variable in class org.nd4j.linalg.compression.ThresholdCompression

FLOAT - onnx.Onnx.AttributeProto.AttributeType

FLOAT = 1;

FLOAT - onnx.Onnx.TensorProto.DataType

Basic types.

FLOAT - onnx.OnnxMl.AttributeProto.AttributeType

FLOAT = 1;

FLOAT - onnx.OnnxMl.TensorProto.DataType

Basic types.

FLOAT - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

FLOAT = 0;

FLOAT - org.nd4j.ir.TensorNamespace.DataType

Basic types.

FLOAT - org.nd4j.linalg.api.buffer.DataType

FLOAT - org.nd4j.linalg.api.buffer.DataTypeEx

FLOAT - org.nd4j.linalg.indexing.functions.StableNumber.Type

FLOAT - Static variable in class org.nd4j.graph.DType

FLOAT_DATA_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

FLOAT_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

FLOAT_DATA_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

FLOAT_LIST - org.tensorflow.framework.CollectionDef.KindCase

FLOAT_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef

FLOAT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

FLOAT_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

FLOAT = 1;

FLOAT_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

Basic types.

FLOAT_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

FLOAT = 1;

FLOAT_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

Basic types.

FLOAT_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

FLOAT = 0;

FLOAT_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

Basic types.

FLOAT16 - onnx.Onnx.TensorProto.DataType

IEEE754 half-precision floating-point format (16 bits wide).

FLOAT16 - onnx.OnnxMl.TensorProto.DataType

IEEE754 half-precision floating-point format (16 bits wide).

FLOAT16 - org.nd4j.ir.TensorNamespace.DataType

IEEE754 half-precision floating-point format (16 bits wide).

FLOAT16 - org.nd4j.linalg.api.buffer.DataTypeEx

FLOAT16 - org.nd4j.linalg.compression.CompressionAlgorithm

FLOAT16 - Static variable in enum org.nd4j.linalg.api.buffer.DataType

FLOAT16_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

IEEE754 half-precision floating-point format (16 bits wide).

FLOAT16_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

IEEE754 half-precision floating-point format (16 bits wide).

FLOAT16_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

IEEE754 half-precision floating-point format (16 bits wide).

Float16TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float16TensorMapper

Float32TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float32TensorMapper

Float64TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float64TensorMapper

FLOAT8 - org.nd4j.linalg.api.buffer.DataTypeEx

FLOAT8 - org.nd4j.linalg.compression.CompressionAlgorithm

FLOAT8 - Static variable in class org.nd4j.graph.DType

floatBufferClass() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

FLOATS - onnx.Onnx.AttributeProto.AttributeType

FLOATS = 6;

FLOATS - onnx.OnnxMl.AttributeProto.AttributeType

FLOATS = 6;

FLOATS_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

FLOATS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

FLOATS_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

FLOATS = 6;

FLOATS_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

FLOATS = 6;

FLOATVALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

floor(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise floor function: out = floor(x).
Rounds each value down to the nearest integer value (if not already an integer)

floor(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise floor function: out = floor(x).
Rounds each value down to the nearest integer value (if not already an integer)

floor(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise floor function: out = floor(x).
Rounds each value down to the nearest integer value (if not already an integer)

floor(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Binary matrix of whether the number at a given index is greater than

floor(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Floor function

Floor - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Floor(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Floor

Floor(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Floor

Floor(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Floor

Floor(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Floor

FLOOR - org.nd4j.enums.NearestMode

floorDiv(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise floor division operation, out = floor(x / y)
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

floorDiv(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise floor division operation, out = floor(x / y)
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

floorDiv(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise floor division operation, out = floor(x / y)
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

FloorDivBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

FloorDivBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.FloorDivBpOp

FloorDivBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.FloorDivBpOp

FloorDivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

FloorDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorDivOp

FloorDivOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorDivOp

FloorDivOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorDivOp

FloorDivOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorDivOp

FloorDivOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorDivOp

floorMod(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar floor modulus operation

floorMod(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise Modulus division operation
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

floorMod(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar floor modulus operation

floorMod(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise Modulus division operation
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

floorMod(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Scalar floor modulus operation

floorMod(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise Modulus division operation
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

FloorModBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

FloorModBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.FloorModBpOp

FloorModBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.FloorModBpOp

FloorModOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

FloorModOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp

FloorModOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp

FloorModOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp

FloorModOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp

flow - Variable in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

flush() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

flush() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Flush the data buffer

flushQueue() - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method forces all currently enqueued ops to be executed immediately PLEASE NOTE: This call CAN be non-blocking, if specific backend implementation supports that.

flushQueueBlocking() - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method forces all currently enqueued ops to be executed immediately PLEASE NOTE: This call is always blocking, until all queued operations are finished

fmod(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

fmod(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

remainder of division by scalar.

fmod(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

fmod(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

remainder of division by scalar.

fmod(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

fmod(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

remainder of division

fmod(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

fmod(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

remainder of division

fmodi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

fmodi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place fmod

fmodi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

fmodi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place fmod

FModOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

FModOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

FModOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

FModOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

FModOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

FModOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

FModOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

FModOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

FModOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

FoldConstantFunctions() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.ConstantFunctionOptimizations.FoldConstantFunctions

footprintBackward() - Method in class org.nd4j.graph.FlatConfiguration

footprintBackward() - Method in class org.nd4j.graph.FlatResult

footprintForward() - Method in class org.nd4j.graph.FlatConfiguration

footprintForward() - Method in class org.nd4j.graph.FlatResult

FORCE_GPU_COMPATIBLE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions

forgetGraph(long) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

forgetGraph(long) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

format(double, int) - Method in class org.nd4j.evaluation.curves.BaseCurve

format(String, Object) - Method in class org.nd4j.linalg.util.NDArrayPreconditionsFormat

format(INDArray) - Method in class org.nd4j.linalg.string.NDArrayStrings

format(INDArray, boolean) - Method in class org.nd4j.linalg.string.NDArrayStrings

Format the given ndarray as a string

format2dp(double) - Method in class org.nd4j.autodiff.listeners.impl.ScoreListener

format5dp(double) - Method in class org.nd4j.autodiff.listeners.impl.ScoreListener

formatDurationMs(long) - Method in class org.nd4j.autodiff.listeners.impl.ScoreListener

formatTags() - Method in class org.nd4j.linalg.util.NDArrayPreconditionsFormat

forNumber(int) - Static method in enum onnx.Onnx.AttributeProto.AttributeType

forNumber(int) - Static method in enum onnx.Onnx.OperatorStatus

forNumber(int) - Static method in enum onnx.Onnx.TensorProto.DataLocation

forNumber(int) - Static method in enum onnx.Onnx.TensorProto.DataType

forNumber(int) - Static method in enum onnx.Onnx.TensorShapeProto.Dimension.ValueCase

forNumber(int) - Static method in enum onnx.Onnx.TypeProto.ValueCase

forNumber(int) - Static method in enum onnx.Onnx.Version

forNumber(int) - Static method in enum onnx.OnnxMl.AttributeProto.AttributeType

forNumber(int) - Static method in enum onnx.OnnxMl.OperatorStatus

forNumber(int) - Static method in enum onnx.OnnxMl.TensorProto.DataLocation

forNumber(int) - Static method in enum onnx.OnnxMl.TensorProto.DataType

forNumber(int) - Static method in enum onnx.OnnxMl.TensorShapeProto.Dimension.ValueCase

forNumber(int) - Static method in enum onnx.OnnxMl.TypeProto.ValueCase

forNumber(int) - Static method in enum onnx.OnnxMl.Version

forNumber(int) - Static method in enum org.nd4j.ir.MapperNamespace.OpListType

forNumber(int) - Static method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

forNumber(int) - Static method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

forNumber(int) - Static method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

forNumber(int) - Static method in enum org.nd4j.ir.TensorNamespace.DataType

forNumber(int) - Static method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

forNumber(int) - Static method in enum org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase

forNumber(int) - Static method in enum org.nd4j.ir.TensorNamespace.TypeProto.ValueCase

forNumber(int) - Static method in enum org.tensorflow.framework.ApiDef.Visibility

forNumber(int) - Static method in enum org.tensorflow.framework.AttrValue.ValueCase

forNumber(int) - Static method in enum org.tensorflow.framework.Code

forNumber(int) - Static method in enum org.tensorflow.framework.CollectionDef.KindCase

forNumber(int) - Static method in enum org.tensorflow.framework.ControlFlowContextDef.CtxtCase

forNumber(int) - Static method in enum org.tensorflow.framework.DataType

forNumber(int) - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination

forNumber(int) - Static method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

forNumber(int) - Static method in enum org.tensorflow.framework.OptimizerOptions.Level

forNumber(int) - Static method in enum org.tensorflow.framework.RewriterConfig.MemOptType

forNumber(int) - Static method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

forNumber(int) - Static method in enum org.tensorflow.framework.RewriterConfig.Toggle

forNumber(int) - Static method in enum org.tensorflow.framework.RunOptions.TraceLevel

forNumber(int) - Static method in enum org.tensorflow.framework.Summary.Value.ValueCase

forNumber(int) - Static method in enum org.tensorflow.framework.TensorInfo.EncodingCase

forNumber(int) - Static method in enum org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase

forNumber(int) - Static method in enum org.tensorflow.util.BundleHeaderProto.Endianness

forNumber(int) - Static method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

forNumber(int) - Static method in enum tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase

FORTRAN - Static variable in interface org.nd4j.linalg.factory.NDArrayFactory

FORWARD_AND_BACKWARD - Static variable in class org.nd4j.graph.Direction

FORWARD_ONLY - Static variable in class org.nd4j.graph.Direction

frame - Variable in class org.nd4j.autodiff.samediff.internal.InferenceSession.Dep

frame() - Method in class org.nd4j.graph.FrameIteration

frameAsByteBuffer() - Method in class org.nd4j.graph.FrameIteration

frameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FrameIteration

frameIter - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStep

frameIter() - Method in class org.nd4j.graph.UIEvent

frameIter(FrameIteration) - Method in class org.nd4j.graph.UIEvent

FrameIter - Class in org.nd4j.autodiff.samediff.internal

FrameIter(String, int, FrameIter) - Constructor for class org.nd4j.autodiff.samediff.internal.FrameIter

FrameIteration - Class in org.nd4j.graph

FrameIteration() - Constructor for class org.nd4j.graph.FrameIteration

FrameIteration.Vector - Class in org.nd4j.graph

frameName - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

FRAMEWORKNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MapperDeclaration

free(Pointer) - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

free(DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.buffer.allocation.MemoryStrategy

Free the buffer wrt the allocation strategy

freedArrays - Variable in class org.nd4j.autodiff.samediff.internal.InferenceSession

FreeGridOp - Class in org.nd4j.linalg.api.ops.impl.grid

FreeGridOp() - Constructor for class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

FreeGridOp(List<Op>) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

FreeGridOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

FreeGridOp(Op...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

freeze(boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Freezes the model.

freqCounter - Variable in class org.nd4j.linalg.api.memory.BasicMemoryManager

frequency - Variable in class org.nd4j.linalg.api.memory.BasicMemoryManager

FREQUENCY_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

FROM_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorConnection

fromBase64(String) - Static method in class org.nd4j.serde.base64.Nd4jBase64

Create an ndarray from a base 64 representation

fromByteArray(@lombok.NonNull byte[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Read an ndarray from a byte array

fromByteBuffer(ByteBuffer) - Static method in class org.nd4j.linalg.compression.CompressionDescriptor

Instantiate a compression descriptor from the given bytebuffer

fromFileString(String) - Static method in class org.nd4j.autodiff.listeners.checkpoint.Checkpoint

fromFlatBuffers(ByteBuffer) - Static method in class org.nd4j.autodiff.samediff.SameDiff

Create a SameDiff instance from a byte buffers instance.

fromFlatBuffers(ByteBuffer, boolean) - Static method in class org.nd4j.autodiff.samediff.SameDiff

Create a SameDiff instance from a byte buffers instance.

fromFlatFile(File) - Static method in class org.nd4j.autodiff.samediff.SameDiff

Create a SameDiff instance from a file, including the updater state The method to save the file is SameDiff.save(File, boolean)

fromFlatFile(File, boolean) - Static method in class org.nd4j.autodiff.samediff.SameDiff

Create a SameDiff instance from a file, optionally also loading the updater state The method to save the file is SameDiff.save(File, boolean)

fromFlatNode(FlatNode) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

fromFloat(float) - Static method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

fromIndexArr(INDArray) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

fromInt(int) - Static method in enum org.nd4j.linalg.api.buffer.DataType

Values inherited from https://github.com/eclipse/deeplearning4j/blob/master/libnd4j/include/array/DataType.h

fromInt(int) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

fromInt(int, Double) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

fromJson(String) - Static method in class org.nd4j.autodiff.samediff.TrainingConfig

fromJson(String) - Static method in class org.nd4j.evaluation.classification.Evaluation

fromJson(String) - Static method in class org.nd4j.evaluation.classification.EvaluationBinary

fromJson(String) - Static method in class org.nd4j.evaluation.classification.EvaluationCalibration

fromJson(String) - Static method in class org.nd4j.evaluation.classification.ROC

fromJson(String) - Static method in class org.nd4j.evaluation.classification.ROCBinary

fromJson(String) - Static method in class org.nd4j.evaluation.classification.ROCMultiClass

fromJson(String) - Static method in class org.nd4j.evaluation.curves.Histogram

fromJson(String) - Static method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

fromJson(String) - Static method in class org.nd4j.evaluation.curves.RocCurve

fromJson(String) - Static method in class org.nd4j.evaluation.regression.RegressionEvaluation

fromJson(String, Class<T>) - Static method in class org.nd4j.evaluation.BaseEvaluation

fromJson(String, Class<T>) - Static method in class org.nd4j.evaluation.curves.BaseCurve

fromJson(String, Class<T>) - Static method in class org.nd4j.evaluation.curves.BaseHistogram

fromNumber(int) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.config.PaddingMode

fromNumber(int) - Static method in enum org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

fromNumpy(String) - Static method in enum org.nd4j.linalg.api.buffer.DataType

fromShape(@lombok.NonNull long[], @lombok.NonNull long[], long, char, DataType, boolean) - Static method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

fromShape(int[], DataType) - Static method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

fromShape(long[], long) - Static method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

fromShape(long[], DataType) - Static method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

fromShapeDescriptor(ShapeDescriptor) - Static method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

fromString(String) - Static method in enum org.nd4j.linalg.activations.Activation

Returns the activation function enum value

fromString(String) - Static method in enum org.nd4j.linalg.compression.CompressionAlgorithm

Return the appropriate compression algorithm from the given string

fromVarType(byte) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

fromYaml(String) - Static method in class org.nd4j.evaluation.classification.Evaluation

fromYaml(String) - Static method in class org.nd4j.evaluation.classification.EvaluationBinary

fromYaml(String) - Static method in class org.nd4j.evaluation.curves.Histogram

fromYaml(String) - Static method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

fromYaml(String) - Static method in class org.nd4j.evaluation.curves.RocCurve

fromYaml(String, Class<T>) - Static method in class org.nd4j.evaluation.BaseEvaluation

fromYaml(String, Class<T>) - Static method in class org.nd4j.evaluation.curves.BaseCurve

fromYaml(String, Class<T>) - Static method in class org.nd4j.evaluation.curves.BaseHistogram

FTHRESHOLD - org.nd4j.linalg.api.buffer.DataTypeEx

FULL - org.nd4j.linalg.api.memory.enums.MirroringPolicy

FULL - org.nd4j.linalg.convolution.Convolution.Type

FULL - org.nd4j.versioncheck.VersionCheck.Detail

FULL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SaveSliceInfoDef

FULL_NAME_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

FULL_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SaveSliceInfoDef

FULL_TRACE - org.tensorflow.framework.RunOptions.TraceLevel

FULL_TRACE = 3;

FULL_TRACE_VALUE - Static variable in enum org.tensorflow.framework.RunOptions.TraceLevel

FULL_TRACE = 3;

FUNC - org.tensorflow.framework.AttrValue.ValueCase

FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue

FUNCTION_DEF_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDefLibrary

FUNCTION_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GradientDef

FUNCTION_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

FunctionDef - Class in org.tensorflow.framework

A function can be instantiated when the runtime can bind every attr with a value.

FunctionDef.Builder - Class in org.tensorflow.framework

A function can be instantiated when the runtime can bind every attr with a value.

FunctionDefLibrary - Class in org.tensorflow.framework

A library is a set of named functions.

FunctionDefLibrary.Builder - Class in org.tensorflow.framework

A library is a set of named functions.

FunctionDefLibraryOrBuilder - Interface in org.tensorflow.framework

FunctionDefOrBuilder - Interface in org.tensorflow.framework

FUNCTIONNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

FunctionProtos - Class in org.tensorflow.framework

FUNCTIONS_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

FUNCTIONS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

FUNCTIONS_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorSetProto

FuseChainedConcatOps() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.ShapeFunctionOptimizations.FuseChainedConcatOps

FuseChainedPermutes() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.ShapeFunctionOptimizations.FuseChainedPermutes

FuseChainedReshapes() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.ShapeFunctionOptimizations.FuseChainedReshapes

FusedBatchNorm - Class in org.nd4j.linalg.api.ops.custom

FusedBatchNorm() - Constructor for class org.nd4j.linalg.api.ops.custom.FusedBatchNorm

FusedBatchNorm(SameDiff, SDVariable, SDVariable, SDVariable, int, int) - Constructor for class org.nd4j.linalg.api.ops.custom.FusedBatchNorm

FusedBatchNorm(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.FusedBatchNorm

FusedBatchNorm(INDArray, INDArray, INDArray, int, int, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.FusedBatchNorm

FWD - org.nd4j.enums.LSTMDirectionMode

FWD - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDirectionMode

G

G_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

G_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

G_STATE - Static variable in class org.nd4j.linalg.learning.RmsPropUpdater

GateAct - Enum in org.nd4j.enums

Activations

gather(String, SDVariable, int[], int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Gather slices from the input variable where the indices are specified as fixed int[] values.
Output shape is same as input shape, except for axis dimension, which has size equal to indices.length.

gather(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Gather slices from the input variable where the indices are specified as dynamic array values.
Output shape is same as input shape, except for axis dimension, which has size equal to indices.length.

gather(SDVariable, int...) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

gather(SDVariable, int[], int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Gather slices from the input variable where the indices are specified as fixed int[] values.
Output shape is same as input shape, except for axis dimension, which has size equal to indices.length.

gather(SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

gather(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Gather slices from the input variable where the indices are specified as dynamic array values.
Output shape is same as input shape, except for axis dimension, which has size equal to indices.length.

gather(INDArray, int[], int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Gather slices from the input variable where the indices are specified as fixed int[] values.
Output shape is same as input shape, except for axis dimension, which has size equal to indices.length.

gather(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Gather slices from the input variable where the indices are specified as dynamic array values.
Output shape is same as input shape, except for axis dimension, which has size equal to indices.length.

Gather - Class in org.nd4j.linalg.api.ops.impl.shape

Gather op

Gather() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather

Gather(SameDiff, SDVariable, int[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather

Gather(SameDiff, SDVariable, int[], int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather

Gather(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather

Gather(SameDiff, SDVariable, SDVariable, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather

Gather(INDArray, int[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather

Gather(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather

gatherNd(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Gather slices from df with shape specified by indices.

gatherNd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Gather slices from df with shape specified by indices.

gatherNd(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Gather slices from df with shape specified by indices.

GatherNd - Class in org.nd4j.linalg.api.ops.impl.shape

GatherND op

GatherNd(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.GatherNd

GatherNd(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.GatherNd

GatherNd(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.GatherNd

GaussianDistribution - Class in org.nd4j.linalg.api.ops.random.impl

GaussianDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

GaussianDistribution(double, double, DataType, long...) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

GaussianDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

This op fills Z with random values within -1.0..0..1.0

GaussianDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

This op fills Z with random values within stddev..0..stddev

GaussianDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

This op fills Z with random values within stddev..mean..stddev boundaries

GaussianDistribution(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

GaussianDistribution(SameDiff, double, double, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

GaussianDistribution(SameDiff, double, double, DataType, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

gaussians(int) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder

Specifies the number of gaussian functions to attempt fitting against the data.

GAV - org.nd4j.versioncheck.VersionCheck.Detail

GAVC - org.nd4j.versioncheck.VersionCheck.Detail

gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations: y := alpha*a*x + beta*y for trans = 'N'or'n'; y := alpha*a'*x + beta*y for trans = 'T'or't'; y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.

gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations: y := alpha*a*x + beta*y for trans = 'N'or'n'; y := alpha*a'*x + beta*y for trans = 'T'or't'; y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.

GC_DEFAULT_DEBUG_MODE - Static variable in class org.nd4j.autodiff.validation.TestCase

GC_DEFAULT_EPS - Static variable in class org.nd4j.autodiff.validation.TestCase

GC_DEFAULT_EXIT_FIRST_FAILURE - Static variable in class org.nd4j.autodiff.validation.TestCase

GC_DEFAULT_MAX_REL_ERROR - Static variable in class org.nd4j.autodiff.validation.TestCase

GC_DEFAULT_MIN_ABS_ERROR - Static variable in class org.nd4j.autodiff.validation.TestCase

GC_DEFAULT_PRINT - Static variable in class org.nd4j.autodiff.validation.TestCase

geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

gelsd(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

gelsd(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Generalized Least Squares via *GELSD.

gelu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

GELU activation function - Gaussian Error Linear Units
For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415
This method uses the sigmoid approximation

gelu(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

GELU activation function - Gaussian Error Linear Units
For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415
This method uses the sigmoid approximation

gelu(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

GELU activation function - Gaussian Error Linear Units
For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415
This method uses the sigmoid approximation

GELU - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

GELU - org.nd4j.linalg.activations.Activation

GELU(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU

GELU(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU

GELU(SameDiff, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU

GELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU

GELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU

GELUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

GELU derivative

GELUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative

GELUDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative

GELUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative

GELUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative

gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

gemm performs a matrix-matrix operation c := alpha*op(a)*op(b) + beta*c, where c is an m-by-n matrix, op(a) is an m-by-k matrix, op(b) is a k-by-n matrix.

gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3

gemm performs a matrix-matrix operation c := alpha*op(a)*op(b) + beta*c, where c is an m-by-n matrix, op(a) is an m-by-k matrix, op(b) is a k-by-n matrix.

gemm(INDArray, INDArray, boolean, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

matrix multiply: implements op(a)*op(b) where op(x) means transpose x (or not) depending on setting of arguments transposea and transposeb.
so gemm(a,b,false,false) == a.mmul(b), gemm(a,b,true,false) == a.transpose().mmul(b) etc.

gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

A convenience method for matrix-matrix operations with transposes.

gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in interface org.nd4j.linalg.api.blas.Level3

A convenience method for matrix-matrix operations with transposes.

gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Static method in class org.nd4j.linalg.factory.Nd4j

Matrix multiply: Implements c = alpha*op(a)*op(b) + beta*c where op(X) means transpose X (or not) depending on setting of arguments transposeA and transposeB.
Note that matrix c MUST be fortran order, have zero offset and have c.data().length == c.length().

GemmParams - Class in org.nd4j.linalg.api.blas.params

GemmParams(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.GemmParams

GemmParams(INDArray, INDArray, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.blas.params.GemmParams

gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations: y := alpha*a*x + beta*y for trans = 'N'or'n'; y := alpha*a'*x + beta*y for trans = 'T'or't'; y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.

gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations: y := alpha*a*x + beta*y for trans = 'N'or'n'; y := alpha*a'*x + beta*y for trans = 'T'or't'; y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.

gemv(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

gemv(double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

gemv(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

gemv(float, INDArray, INDArray, float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

gemv(Number, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

gemv(Number, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

************************************************************************ BLAS Level 2

GemvParameters - Class in org.nd4j.linalg.api.blas.params

GemvParameters(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.GemvParameters

GENERAL - org.nd4j.linalg.api.memory.enums.AllocationKind

General allocations

generateDistinctCustomVariableName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns an unused variable name of the format <base>_#.

generateFake(long...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

Generate fake data for DynamicCustomOp.computeArrays() of the given shape with the data type Nd4j.defaultFloatingPointType()

generateFake(long...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

generateFake(DataType, long...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

Generate fake data for DynamicCustomOp.computeArrays() of the the given shape with the given data type

generateFake(DataType, long...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

generateGaussianSamples(long) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA

Generates a set of count random samples with the same variance and mean and eigenvector/values as the data set used to initialize the PCA object, with same number of features N.

generateNewVarName(String, int) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.generateNewVarName(String, int, boolean) existingOp is true.

generateNewVarName(String, int, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Generate a new, distinct variable name of the form <base>_#[:#].

generateOutputVariableForOp(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Generate the variables based on the given input op and return the output variable names.

generateOutputVariableForOp(DifferentialFunction, String, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Generate the variables based on the given input op and return the output variable names.

generationId - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

generator() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

geqrf(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack

QR decomposiiton of a matrix Factorize a matrix A such that A = QR The matrix A is overwritten by the Q component (i.e.

geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

geqrf(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

ger(char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

performs a rank-1 update of a general m-by-n matrix a: a := alpha*x*y' + a.

ger(char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

performs a rank-1 update of a general m-by-n matrix a: a := alpha*x*y' + a.

ger(double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

ger(double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

ger(float, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

ger(float, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute A <- alpha * x * y^T + A (general rank-1 update)

ger(Number, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

ger(Number, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

gesv(INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

gesv(INDArray, int[], INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

************************************************************************ LAPACK

gesvd(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

gesvd(INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack

SVD decomposiiton of a matrix Factorize a matrix into its singular vectors and eigenvalues The decomposition is such that: A = U x S x VT gesvd = singular value decomposition (SVD) of a general matrix (GE)

get() - Method in class org.nd4j.linalg.util.AtomicThrowable

This method returns current state

get() - Method in class org.nd4j.linalg.util.DeviceLocal

This method returns object local to current deviceId

get() - Method in class org.nd4j.linalg.util.DeviceLocalNDArray

This method returns object local to current deviceId

get(int) - Method in class org.nd4j.graph.FlatArray.Vector

get(int) - Method in class org.nd4j.graph.FlatArrayList.Vector

get(int) - Method in class org.nd4j.graph.FlatConfiguration.Vector

get(int) - Method in class org.nd4j.graph.FlatDropRequest.Vector

get(int) - Method in class org.nd4j.graph.FlatGraph.Vector

get(int) - Method in class org.nd4j.graph.FlatInferenceRequest.Vector

get(int) - Method in class org.nd4j.graph.FlatNode.Vector

get(int) - Method in class org.nd4j.graph.FlatProperties.Vector

get(int) - Method in class org.nd4j.graph.FlatResponse.Vector

get(int) - Method in class org.nd4j.graph.FlatResult.Vector

get(int) - Method in class org.nd4j.graph.FlatTiming.Vector

get(int) - Method in class org.nd4j.graph.FlatVariable.Vector

get(int) - Method in class org.nd4j.graph.FrameIteration.Vector

get(int) - Method in class org.nd4j.graph.IntPair.Vector

get(int) - Method in class org.nd4j.graph.IntTriple.Vector

get(int) - Method in class org.nd4j.graph.LongPair.Vector

get(int) - Method in class org.nd4j.graph.LongTriple.Vector

get(int) - Method in class org.nd4j.graph.SequenceItem.Vector

get(int) - Method in class org.nd4j.graph.SequenceItemRoot.Vector

get(int) - Method in class org.nd4j.graph.UIAddName.Vector

get(int) - Method in class org.nd4j.graph.UIEvent.Vector

get(int) - Method in class org.nd4j.graph.UIGraphStructure.Vector

get(int) - Method in class org.nd4j.graph.UIHardwareState.Vector

get(int) - Method in class org.nd4j.graph.UIHistogram.Vector

get(int) - Method in class org.nd4j.graph.UIOp.Vector

get(int) - Method in class org.nd4j.graph.UIStaticInfoRecord.Vector

get(int) - Method in class org.nd4j.graph.UISummaryStatistics.Vector

get(int) - Method in class org.nd4j.graph.UISystemInfo.Vector

get(int) - Method in class org.nd4j.graph.UIVariable.Vector

get(int) - Method in class org.nd4j.graph.UpdaterState.Vector

get(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

get(int) - Method in class org.nd4j.linalg.dataset.DataSet

Gets a copy of example i

get(int) - Method in class org.nd4j.linalg.util.DeviceLocal

This method returns object local to target device

get(int) - Method in class org.nd4j.list.BaseNDArrayList

get(int) - Method in class org.nd4j.list.NDArrayList

get(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet

get(int[]) - Method in class org.nd4j.linalg.dataset.DataSet

Gets a copy of example i

get(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache

get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache

get(String, String, int, FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get a previously calculated output; throws an exception if the output does not exist

get(String, String, int, FrameIter, boolean) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get a previously calculated output

get(SDIndex...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Get a variable with content equal to a specified sub-array of this variable.
Can be used (for example) to get rows, columns, sub-matrices, etc.

get(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Get a variable with content equal to a specified sub-array of this variable.
Can be used (for example) to get rows, columns, sub-matrices, etc.

get(FlatArrayList, int) - Method in class org.nd4j.graph.FlatArrayList.Vector

get(FlatArray, int) - Method in class org.nd4j.graph.FlatArray.Vector

get(FlatConfiguration, int) - Method in class org.nd4j.graph.FlatConfiguration.Vector

get(FlatDropRequest, int) - Method in class org.nd4j.graph.FlatDropRequest.Vector

get(FlatGraph, int) - Method in class org.nd4j.graph.FlatGraph.Vector

get(FlatInferenceRequest, int) - Method in class org.nd4j.graph.FlatInferenceRequest.Vector

get(FlatNode, int) - Method in class org.nd4j.graph.FlatNode.Vector

get(FlatProperties, int) - Method in class org.nd4j.graph.FlatProperties.Vector

get(FlatResponse, int) - Method in class org.nd4j.graph.FlatResponse.Vector

get(FlatResult, int) - Method in class org.nd4j.graph.FlatResult.Vector

get(FlatTiming, int) - Method in class org.nd4j.graph.FlatTiming.Vector

get(FlatVariable, int) - Method in class org.nd4j.graph.FlatVariable.Vector

get(FrameIteration, int) - Method in class org.nd4j.graph.FrameIteration.Vector

get(IntPair, int) - Method in class org.nd4j.graph.IntPair.Vector

get(IntTriple, int) - Method in class org.nd4j.graph.IntTriple.Vector

get(LongPair, int) - Method in class org.nd4j.graph.LongPair.Vector

get(LongTriple, int) - Method in class org.nd4j.graph.LongTriple.Vector

get(SequenceItem, int) - Method in class org.nd4j.graph.SequenceItem.Vector

get(SequenceItemRoot, int) - Method in class org.nd4j.graph.SequenceItemRoot.Vector

get(UIAddName, int) - Method in class org.nd4j.graph.UIAddName.Vector

get(UIEvent, int) - Method in class org.nd4j.graph.UIEvent.Vector

get(UIGraphStructure, int) - Method in class org.nd4j.graph.UIGraphStructure.Vector

get(UIHardwareState, int) - Method in class org.nd4j.graph.UIHardwareState.Vector

get(UIHistogram, int) - Method in class org.nd4j.graph.UIHistogram.Vector

get(UIOp, int) - Method in class org.nd4j.graph.UIOp.Vector

get(UIStaticInfoRecord, int) - Method in class org.nd4j.graph.UIStaticInfoRecord.Vector

get(UISummaryStatistics, int) - Method in class org.nd4j.graph.UISummaryStatistics.Vector

get(UISystemInfo, int) - Method in class org.nd4j.graph.UISystemInfo.Vector

get(UIVariable, int) - Method in class org.nd4j.graph.UIVariable.Vector

get(UpdaterState, int) - Method in class org.nd4j.graph.UpdaterState.Vector

get(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

get(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get the elements from this ndarray based on the specified indices

get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

get(INDArrayIndex...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a subset of this array based on the specified indexes

get(T) - Method in class org.nd4j.linalg.api.memory.stash.BasicStash

get(T) - Method in interface org.nd4j.linalg.api.memory.stash.Stash

get(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage

Get object from the storage, by key

get3dPermutedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dPermutedWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dReshapedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dReshapedWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dSubArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dSubArraysWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dTensorAlongDimensionWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dTensorAlongDimensionWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get4dPermutedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get4dReshapedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get4dSubArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get4dTensorAlongDimensionWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get5dPermutedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get5dReshapedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get5dSubArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get5dTensorAlongDimensionWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get6dPermutedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get6dReshapedWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get6dSubArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getActivation(INDArray, boolean) - Method in interface org.nd4j.linalg.activations.IActivation

Carry out activation function on the input array (usually known as 'preOut' or 'z') Implementations must overwrite "in", transform in place and return "in" Can support separate behaviour during test

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationCube

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationELU

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationGELU

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationMish

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationPReLU

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU6

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSELU

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSwish

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationTanH

getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU

getActivationFunction() - Method in enum org.nd4j.linalg.activations.Activation

Creates an instance of the activation function

getActiveLocation(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns last-updated location for the given INDArray

getActiveLocation(INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

getActualTotal(T) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

Computes the total number of times the class actually appeared in the data.

getAffinityManager() - Static method in class org.nd4j.linalg.factory.Nd4j

getAlgorithm() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field represents a training algorithm step.

getAlgorithm() - Method in class onnx.Onnx.TrainingInfoProto

This field represents a training algorithm step.

getAlgorithm() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field represents a training algorithm step.

getAlgorithm() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

getAlgorithm() - Method in class onnx.OnnxMl.TrainingInfoProto

This field represents a training algorithm step.

getAlgorithm() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field represents a training algorithm step.

getAlgorithmBuilder() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field represents a training algorithm step.

getAlgorithmBuilder() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

getAlgorithmOrBuilder() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field represents a training algorithm step.

getAlgorithmOrBuilder() - Method in class onnx.Onnx.TrainingInfoProto

This field represents a training algorithm step.

getAlgorithmOrBuilder() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field represents a training algorithm step.

getAlgorithmOrBuilder() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

getAlgorithmOrBuilder() - Method in class onnx.OnnxMl.TrainingInfoProto

This field represents a training algorithm step.

getAlgorithmOrBuilder() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field represents a training algorithm step.

getAliasInputPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

If >= 0, the output is an alias of an input.

getAliasInputPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

If >= 0, the output is an alias of an input.

getAliasInputPort() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder

If >= 0, the output is an alias of an input.

getAll3dTestArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getAll3dTestArraysWithShape(long, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getAll4dTestArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getAll4dTestArraysWithShape(int, long[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getAll5dTestArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getAll6dTestArraysWithShape(int, int[], DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getAllEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 all_end_rel_micros = 5;

getAllEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats

int64 all_end_rel_micros = 5;

getAllEndRelMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

int64 all_end_rel_micros = 5;

getAllocatedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Total number of bytes allocated if known

getAllocatedBytes() - Method in class org.tensorflow.framework.AllocationDescription

Total number of bytes allocated if known

getAllocatedBytes() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder

Total number of bytes allocated if known

getAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription.Builder

Information about the size and allocator used for the data

getAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription

Information about the size and allocator used for the data

getAllocationDescription() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder

Information about the size and allocator used for the data

getAllocationDescriptionBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder

Information about the size and allocator used for the data

getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder

Information about the size and allocator used for the data

getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.framework.TensorDescription

Information about the size and allocator used for the data

getAllocationDescriptionOrBuilder() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder

Information about the size and allocator used for the data

getAllocationId() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Identifier of the allocated buffer if known

getAllocationId() - Method in class org.tensorflow.framework.AllocationDescription

Identifier of the allocated buffer if known

getAllocationId() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder

Identifier of the allocated buffer if known

getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Id of the tensor buffer being allocated, used to match to a corresponding deallocation.

getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

Id of the tensor buffer being allocated, used to match to a corresponding deallocation.

getAllocationId() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder

Id of the tensor buffer being allocated, used to match to a corresponding deallocation.

getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

getAllocationId() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

getAllocationId() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

getAllocationId() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

getAllocationId() - Method in interface org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

getAllocationModeFromContext() - Static method in class org.nd4j.linalg.api.buffer.util.AllocUtil

get the allocation mode from the context

getAllocationModeFromContext(String) - Static method in class org.nd4j.linalg.api.buffer.util.AllocUtil

Get the allocation mode from the context

getAllocationRecords(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

getAllocationRecords(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed

The allocation and deallocation timeline.

getAllocationRecords(int) - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

The allocation and deallocation timeline.

getAllocationRecordsBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

getAllocationRecordsBuilderList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

getAllocationRecordsCount() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

getAllocationRecordsCount() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

The allocation and deallocation timeline.

getAllocationRecordsCount() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

The allocation and deallocation timeline.

getAllocationRecordsList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

getAllocationRecordsList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

The allocation and deallocation timeline.

getAllocationRecordsList() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

The allocation and deallocation timeline.

getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed

The allocation and deallocation timeline.

getAllocationRecordsOrBuilder(int) - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

The allocation and deallocation timeline.

getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

The allocation and deallocation timeline.

getAllocationRecordsOrBuilderList() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

The allocation and deallocation timeline.

getAllocatorBytesInUse() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

These are snapshots of the overall allocator memory stats.

getAllocatorBytesInUse() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

These are snapshots of the overall allocator memory stats.

getAllocatorBytesInUse() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

These are snapshots of the overall allocator memory stats.

getAllocatorName() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Name of the allocator used

getAllocatorName() - Method in class org.tensorflow.framework.AllocationDescription

Name of the allocator used

getAllocatorName() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder

Name of the allocator used

getAllocatorName() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

string allocator_name = 1;

getAllocatorName() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

string allocator_name = 1;

getAllocatorName() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

string allocator_name = 1;

getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the allocator used.

getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

Name of the allocator used.

getAllocatorName() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder

Name of the allocator used.

getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the allocator used.

getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

Name of the allocator used.

getAllocatorName() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder

Name of the allocator used.

getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

Name of the allocator used.

getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

Name of the allocator used.

getAllocatorName() - Method in interface org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder

Name of the allocator used.

getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Name of the allocator used

getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocationDescription

Name of the allocator used

getAllocatorNameBytes() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder

Name of the allocator used

getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

string allocator_name = 1;

getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

string allocator_name = 1;

getAllocatorNameBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

string allocator_name = 1;

getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the allocator used.

getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

Name of the allocator used.

getAllocatorNameBytes() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder

Name of the allocator used.

getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the allocator used.

getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

Name of the allocator used.

getAllocatorNameBytes() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder

Name of the allocator used.

getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

Name of the allocator used.

getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

Name of the allocator used.

getAllocatorNameBytes() - Method in interface org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder

Name of the allocator used.

getAllocatorType() - Method in class org.tensorflow.framework.GPUOptions.Builder

The type of GPU allocation strategy to use.

getAllocatorType() - Method in class org.tensorflow.framework.GPUOptions

The type of GPU allocation strategy to use.

getAllocatorType() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

The type of GPU allocation strategy to use.

getAllocatorTypeBytes() - Method in class org.tensorflow.framework.GPUOptions.Builder

The type of GPU allocation strategy to use.

getAllocatorTypeBytes() - Method in class org.tensorflow.framework.GPUOptions

The type of GPU allocation strategy to use.

getAllocatorTypeBytes() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

The type of GPU allocation strategy to use.

getAllocBytes() - Method in class org.tensorflow.framework.AllocationRecord.Builder

Number of bytes allocated, or de-allocated if negative.

getAllocBytes() - Method in class org.tensorflow.framework.AllocationRecord

Number of bytes allocated, or de-allocated if negative.

getAllocBytes() - Method in interface org.tensorflow.framework.AllocationRecordOrBuilder

Number of bytes allocated, or de-allocated if negative.

getAllocMicros() - Method in class org.tensorflow.framework.AllocationRecord.Builder

The timestamp of the operation.

getAllocMicros() - Method in class org.tensorflow.framework.AllocationRecord

The timestamp of the operation.

getAllocMicros() - Method in interface org.tensorflow.framework.AllocationRecordOrBuilder

The timestamp of the operation.

getAllocModeName(DataBuffer.AllocationMode) - Static method in class org.nd4j.linalg.api.buffer.util.AllocUtil

Gets the name of the alocation mode

getAllOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.GRUCellOutputs

Get all outputs returned by the cell.

getAllOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.LSTMCellOutputs

Get all outputs returned by the cell.

getAllOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRUCellOutputs

Get all outputs returned by the cell.

getAllOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRULayerOutputs

Get all outputs returned by the cell.

getAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

A list of values that this kernel supports for this attr.

getAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

A list of values that this kernel supports for this attr.

getAllowedValues() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder

A list of values that this kernel supports for this attr.

getAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

The set of allowed values.

getAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef

The set of allowed values.

getAllowedValues() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

The set of allowed values.

getAllowedValuesBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

A list of values that this kernel supports for this attr.

getAllowedValuesBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

The set of allowed values.

getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

A list of values that this kernel supports for this attr.

getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

A list of values that this kernel supports for this attr.

getAllowedValuesOrBuilder() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder

A list of values that this kernel supports for this attr.

getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

The set of allowed values.

getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef

The set of allowed values.

getAllowedValuesOrBuilder() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

The set of allowed values.

getAllowGrowth() - Method in class org.tensorflow.framework.GPUOptions.Builder

If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.

getAllowGrowth() - Method in class org.tensorflow.framework.GPUOptions

If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.

getAllowGrowth() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.

getAllowSoftPlacement() - Method in class org.tensorflow.framework.ConfigProto.Builder

Whether soft placement is allowed.

getAllowSoftPlacement() - Method in class org.tensorflow.framework.ConfigProto

Whether soft placement is allowed.

getAllowSoftPlacement() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Whether soft placement is allowed.

getAllowsUninitializedInput() - Method in class org.tensorflow.framework.OpDef.Builder

By default, all inputs to an Op must be initialized Tensors.

getAllowsUninitializedInput() - Method in class org.tensorflow.framework.OpDef

By default, all inputs to an Op must be initialized Tensors.

getAllowsUninitializedInput() - Method in interface org.tensorflow.framework.OpDefOrBuilder

By default, all inputs to an Op must be initialized Tensors.

getAllStartMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 all_start_micros = 2;

getAllStartMicros() - Method in class org.tensorflow.framework.NodeExecStats

int64 all_start_micros = 2;

getAllStartMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

int64 all_start_micros = 2;

getAllTestMatricesWithShape(char, int, int, int, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

Get an array of INDArrays (2d) all with the specified shape.

getAllTestMatricesWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

Get an array of INDArrays (2d) all with the specified shape.

getAllWorkspacesForCurrentThread() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method returns all workspaces for current thread

getAllWorkspacesForCurrentThread() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

getAllWorkspacesIdsForCurrentThread() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method returns list of workspace IDs for current thread

getAllWorkspacesIdsForCurrentThread() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

getAndActivateWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method gets & activates default workspace

getAndActivateWorkspace() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method gets & activates default workspace

getAndActivateWorkspace(String) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method gets & activates workspace with a given Id

getAndActivateWorkspace(WorkspaceConfiguration, String) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method gets & activates default with a given configuration and Id

getAndActivateWorkspace(String) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method gets & activates workspace with a given Id

getAndActivateWorkspace(WorkspaceConfiguration, String) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method gets & activates default with a given configuration and Id

getAndParameterizeOp(String, FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>, Map<String, INDArray>, Set<String>, Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession

getAndParameterizeOp(String, FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>, Map<String, T>, Set<String>, Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get the parameterized op to execute - for example, the op/DifferentialFunction with all inputs set

getAnyInfo() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A serialized protobuf.

getAnyInfo() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

A serialized protobuf.

getAnyInfo() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

A serialized protobuf.

getAnyInfoBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A serialized protobuf.

getAnyInfoOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A serialized protobuf.

getAnyInfoOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

A serialized protobuf.

getAnyInfoOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

A serialized protobuf.

getAnyList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.AnyList any_list = 5;

getAnyList() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.AnyList any_list = 5;

getAnyList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.AnyList any_list = 5;

getAnyListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.AnyList any_list = 5;

getAnyListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.AnyList any_list = 5;

getAnyListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.AnyList any_list = 5;

getAnyListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.AnyList any_list = 5;

getArgDescriptor(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptor(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptor(int) - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorBuilder(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorBuilderList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorCount() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorCount() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorCount() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorList() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorOrBuilder(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorOrBuilder(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorOrBuilder(int) - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorOrBuilderList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorOrBuilderList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgDescriptorOrBuilderList() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

getArgIndex() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

int32 argIndex = 11;

getArgIndex() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

int32 argIndex = 11;

getArgIndex() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

int32 argIndex = 11;

getArgOptional() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool argOptional = 13;

getArgOptional() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

bool argOptional = 13;

getArgOptional() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

bool argOptional = 13;

getArgOrder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

List of original in_arg names to specify new argument order.

getArgOrder(int) - Method in class org.tensorflow.framework.ApiDef

List of original in_arg names to specify new argument order.

getArgOrder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

List of original in_arg names to specify new argument order.

getArgOrderBytes(int) - Method in class org.tensorflow.framework.ApiDef.Builder

List of original in_arg names to specify new argument order.

getArgOrderBytes(int) - Method in class org.tensorflow.framework.ApiDef

List of original in_arg names to specify new argument order.

getArgOrderBytes(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

List of original in_arg names to specify new argument order.

getArgOrderCount() - Method in class org.tensorflow.framework.ApiDef.Builder

List of original in_arg names to specify new argument order.

getArgOrderCount() - Method in class org.tensorflow.framework.ApiDef

List of original in_arg names to specify new argument order.

getArgOrderCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

List of original in_arg names to specify new argument order.

getArgOrderList() - Method in class org.tensorflow.framework.ApiDef.Builder

List of original in_arg names to specify new argument order.

getArgOrderList() - Method in class org.tensorflow.framework.ApiDef

List of original in_arg names to specify new argument order.

getArgOrderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

List of original in_arg names to specify new argument order.

getArgType() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.ArgDescriptor.ArgType argType = 10;

getArgType() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.ArgDescriptor.ArgType argType = 10;

getArgType() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.ArgDescriptor.ArgType argType = 10;

getArgTypeValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.ArgDescriptor.ArgType argType = 10;

getArgTypeValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.ArgDescriptor.ArgType argType = 10;

getArgTypeValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.ArgDescriptor.ArgType argType = 10;

getArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getArithmeticOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Arithmetic optimizations (default is ON) e.g.

getArithmeticOptimization() - Method in class org.tensorflow.framework.RewriterConfig

Arithmetic optimizations (default is ON) e.g.

getArithmeticOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Arithmetic optimizations (default is ON) e.g.

getArithmeticOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Arithmetic optimizations (default is ON) e.g.

getArithmeticOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig

Arithmetic optimizations (default is ON) e.g.

getArithmeticOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Arithmetic optimizations (default is ON) e.g.

getArr() - Method in class org.nd4j.autodiff.samediff.SDVariable

A getter for the allocated ndarray with this SDVariable.

getArr() - Method in interface org.nd4j.weightinit.impl.NDArraySupplierInitScheme.NDArraySupplier

An array proxy method.

getArr(boolean) - Method in class org.nd4j.autodiff.samediff.SDVariable

A getter for the allocated ndarray with this SDVariable.

getArray(String) - Method in class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder

getArray(String) - Method in class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder

getArray(String) - Method in class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

getArray(String) - Method in interface org.nd4j.autodiff.samediff.ArrayHolder

getArray(SDVariable, Collection<AbstractSession.VarId>, Collection<AbstractSession.VarId>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession

getArrayFrom(NodeDef, GraphDef) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Deprecated.

getArrForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get an INDArray for a given vertex id, or null if none exists

getAssetFileDef(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

getAssetFileDef(int) - Method in class org.tensorflow.framework.MetaGraphDef

Asset file def to be used with the defined graph.

getAssetFileDef(int) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

Asset file def to be used with the defined graph.

getAssetFileDefBuilder(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

getAssetFileDefBuilderList() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

getAssetFileDefCount() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

getAssetFileDefCount() - Method in class org.tensorflow.framework.MetaGraphDef

Asset file def to be used with the defined graph.

getAssetFileDefCount() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

Asset file def to be used with the defined graph.

getAssetFileDefList() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

getAssetFileDefList() - Method in class org.tensorflow.framework.MetaGraphDef

Asset file def to be used with the defined graph.

getAssetFileDefList() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

Asset file def to be used with the defined graph.

getAssetFileDefOrBuilder(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

getAssetFileDefOrBuilder(int) - Method in class org.tensorflow.framework.MetaGraphDef

Asset file def to be used with the defined graph.

getAssetFileDefOrBuilder(int) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

Asset file def to be used with the defined graph.

getAssetFileDefOrBuilderList() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

getAssetFileDefOrBuilderList() - Method in class org.tensorflow.framework.MetaGraphDef

Asset file def to be used with the defined graph.

getAssetFileDefOrBuilderList() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

Asset file def to be used with the defined graph.

getAsync() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Whether the ops on the worker should be executed synchronously or asynchronously.

getAsync() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

Whether the ops on the worker should be executed synchronously or asynchronously.

getAsync() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder

Whether the ops on the worker should be executed synchronously or asynchronously.

getAttr() - Method in class org.tensorflow.framework.FunctionDef.Builder

Deprecated.

getAttr() - Method in class org.tensorflow.framework.FunctionDef

Deprecated.

getAttr() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

Deprecated.

getAttr() - Method in class org.tensorflow.framework.NameAttrList.Builder

Deprecated.

getAttr() - Method in class org.tensorflow.framework.NameAttrList

Deprecated.

getAttr() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder

Deprecated.

getAttr() - Method in class org.tensorflow.framework.NodeDef.Builder

Deprecated.

getAttr() - Method in class org.tensorflow.framework.NodeDef

Deprecated.

getAttr() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Deprecated.

getAttr(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttr(int) - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttr(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttr(int) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttr(int) - Method in class org.tensorflow.framework.OpDef

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttr(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrCount() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrCount() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrCount() - Method in class org.tensorflow.framework.FunctionDef.Builder

getAttrCount() - Method in class org.tensorflow.framework.FunctionDef

getAttrCount() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

Attributes specific to this function definition.

getAttrCount() - Method in class org.tensorflow.framework.NameAttrList.Builder

getAttrCount() - Method in class org.tensorflow.framework.NameAttrList

getAttrCount() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder

map<string, .tensorflow.AttrValue> attr = 2;

getAttrCount() - Method in class org.tensorflow.framework.NodeDef.Builder

getAttrCount() - Method in class org.tensorflow.framework.NodeDef

getAttrCount() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Operation-specific graph-construction-time configuration.

getAttrCount() - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrCount() - Method in class org.tensorflow.framework.OpDef

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrCount() - Method in interface org.tensorflow.framework.OpDefOrBuilder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttribute(int) - Method in class onnx.Onnx.FunctionProto.Builder

The attributes of the function.

getAttribute(int) - Method in class onnx.Onnx.FunctionProto

The attributes of the function.

getAttribute(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The attributes of the function.

getAttribute(int) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

getAttribute(int) - Method in class onnx.Onnx.NodeProto

Additional named attributes.

getAttribute(int) - Method in interface onnx.Onnx.NodeProtoOrBuilder

Additional named attributes.

getAttribute(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

The attributes of the function.

getAttribute(int) - Method in class onnx.OnnxMl.FunctionProto

The attributes of the function.

getAttribute(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The attributes of the function.

getAttribute(int) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttribute(int) - Method in class onnx.OnnxMl.NodeProto

Additional named attributes.

getAttribute(int) - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getAttributeBuilder(int) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

getAttributeBuilder(int) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeBuilderList() - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

getAttributeBuilderList() - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeBytes(int) - Method in class onnx.Onnx.FunctionProto.Builder

The attributes of the function.

getAttributeBytes(int) - Method in class onnx.Onnx.FunctionProto

The attributes of the function.

getAttributeBytes(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The attributes of the function.

getAttributeBytes(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

The attributes of the function.

getAttributeBytes(int) - Method in class onnx.OnnxMl.FunctionProto

The attributes of the function.

getAttributeBytes(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The attributes of the function.

getAttributeCount() - Method in class onnx.Onnx.FunctionProto.Builder

The attributes of the function.

getAttributeCount() - Method in class onnx.Onnx.FunctionProto

The attributes of the function.

getAttributeCount() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The attributes of the function.

getAttributeCount() - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

getAttributeCount() - Method in class onnx.Onnx.NodeProto

Additional named attributes.

getAttributeCount() - Method in interface onnx.Onnx.NodeProtoOrBuilder

Additional named attributes.

getAttributeCount() - Method in class onnx.OnnxMl.FunctionProto.Builder

The attributes of the function.

getAttributeCount() - Method in class onnx.OnnxMl.FunctionProto

The attributes of the function.

getAttributeCount() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The attributes of the function.

getAttributeCount() - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeCount() - Method in class onnx.OnnxMl.NodeProto

Additional named attributes.

getAttributeCount() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getAttributeList() - Method in class onnx.Onnx.FunctionProto.Builder

The attributes of the function.

getAttributeList() - Method in class onnx.Onnx.FunctionProto

The attributes of the function.

getAttributeList() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The attributes of the function.

getAttributeList() - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

getAttributeList() - Method in class onnx.Onnx.NodeProto

Additional named attributes.

getAttributeList() - Method in interface onnx.Onnx.NodeProtoOrBuilder

Additional named attributes.

getAttributeList() - Method in class onnx.OnnxMl.FunctionProto.Builder

The attributes of the function.

getAttributeList() - Method in class onnx.OnnxMl.FunctionProto

The attributes of the function.

getAttributeList() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The attributes of the function.

getAttributeList() - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeList() - Method in class onnx.OnnxMl.NodeProto

Additional named attributes.

getAttributeList() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getAttributeOrBuilder(int) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

getAttributeOrBuilder(int) - Method in class onnx.Onnx.NodeProto

Additional named attributes.

getAttributeOrBuilder(int) - Method in interface onnx.Onnx.NodeProtoOrBuilder

Additional named attributes.

getAttributeOrBuilder(int) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeOrBuilder(int) - Method in class onnx.OnnxMl.NodeProto

Additional named attributes.

getAttributeOrBuilder(int) - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getAttributeOrBuilderList() - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

getAttributeOrBuilderList() - Method in class onnx.Onnx.NodeProto

Additional named attributes.

getAttributeOrBuilderList() - Method in interface onnx.Onnx.NodeProtoOrBuilder

Additional named attributes.

getAttributeOrBuilderList() - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeOrBuilderList() - Method in class onnx.OnnxMl.NodeProto

Additional named attributes.

getAttributeOrBuilderList() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getAttributes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

getAttributes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Serialized data specific to this object.

getAttributes(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Serialized data specific to this object.

getAttributesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

getAttributesBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

getAttributesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

getAttributesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Serialized data specific to this object.

getAttributesCount() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Serialized data specific to this object.

getAttributesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

getAttributesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Serialized data specific to this object.

getAttributesList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Serialized data specific to this object.

getAttributesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

getAttributesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Serialized data specific to this object.

getAttributesOrBuilder(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Serialized data specific to this object.

getAttributesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

getAttributesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Serialized data specific to this object.

getAttributesOrBuilderList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Serialized data specific to this object.

getAttrList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrList() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrList() - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrList() - Method in class org.tensorflow.framework.OpDef

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrList() - Method in interface org.tensorflow.framework.OpDefOrBuilder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrMap() - Method in class org.tensorflow.framework.FunctionDef.Builder

Attributes specific to this function definition.

getAttrMap() - Method in class org.tensorflow.framework.FunctionDef

Attributes specific to this function definition.

getAttrMap() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

Attributes specific to this function definition.

getAttrMap() - Method in class org.tensorflow.framework.NameAttrList.Builder

map<string, .tensorflow.AttrValue> attr = 2;

getAttrMap() - Method in class org.tensorflow.framework.NameAttrList

map<string, .tensorflow.AttrValue> attr = 2;

getAttrMap() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder

map<string, .tensorflow.AttrValue> attr = 2;

getAttrMap() - Method in class org.tensorflow.framework.NodeDef.Builder

Operation-specific graph-construction-time configuration.

getAttrMap() - Method in class org.tensorflow.framework.NodeDef

Operation-specific graph-construction-time configuration.

getAttrMap() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Operation-specific graph-construction-time configuration.

getAttrOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrOrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrOrBuilder(int) - Method in class org.tensorflow.framework.OpDef

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrOrBuilder(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrOrBuilderList() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Attr attr = 6;

getAttrOrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrOrBuilderList() - Method in class org.tensorflow.framework.OpDef

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrOrBuilderList() - Method in interface org.tensorflow.framework.OpDefOrBuilder

repeated .tensorflow.OpDef.AttrDef attr = 4;

getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.FunctionDef.Builder

Attributes specific to this function definition.

getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.FunctionDef

Attributes specific to this function definition.

getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

Attributes specific to this function definition.

getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NameAttrList.Builder

map<string, .tensorflow.AttrValue> attr = 2;

getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NameAttrList

map<string, .tensorflow.AttrValue> attr = 2;

getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.NameAttrListOrBuilder

map<string, .tensorflow.AttrValue> attr = 2;

getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NodeDef.Builder

Operation-specific graph-construction-time configuration.

getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NodeDef

Operation-specific graph-construction-time configuration.

getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Operation-specific graph-construction-time configuration.

getAttrOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef.Builder

Attributes specific to this function definition.

getAttrOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef

Attributes specific to this function definition.

getAttrOrThrow(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

Attributes specific to this function definition.

getAttrOrThrow(String) - Method in class org.tensorflow.framework.NameAttrList.Builder

map<string, .tensorflow.AttrValue> attr = 2;

getAttrOrThrow(String) - Method in class org.tensorflow.framework.NameAttrList

map<string, .tensorflow.AttrValue> attr = 2;

getAttrOrThrow(String) - Method in interface org.tensorflow.framework.NameAttrListOrBuilder

map<string, .tensorflow.AttrValue> attr = 2;

getAttrOrThrow(String) - Method in class org.tensorflow.framework.NodeDef.Builder

Operation-specific graph-construction-time configuration.

getAttrOrThrow(String) - Method in class org.tensorflow.framework.NodeDef

Operation-specific graph-construction-time configuration.

getAttrOrThrow(String) - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Operation-specific graph-construction-time configuration.

getAttrs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

Deprecated.

getAttrs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

Deprecated.

getAttrs() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

Deprecated.

getAttrsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

getAttrsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

getAttrsCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

map<string, .tensorflow.AttrValue> attrs = 5;

getAttrsMap() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

map<string, .tensorflow.AttrValue> attrs = 5;

getAttrsMap() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

map<string, .tensorflow.AttrValue> attrs = 5;

getAttrsMap() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

map<string, .tensorflow.AttrValue> attrs = 5;

getAttrsOrDefault(String, AttrValue) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

map<string, .tensorflow.AttrValue> attrs = 5;

getAttrsOrDefault(String, AttrValue) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

map<string, .tensorflow.AttrValue> attrs = 5;

getAttrsOrDefault(String, AttrValue) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

map<string, .tensorflow.AttrValue> attrs = 5;

getAttrsOrThrow(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

map<string, .tensorflow.AttrValue> attrs = 5;

getAttrsOrThrow(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

map<string, .tensorflow.AttrValue> attrs = 5;

getAttrsOrThrow(String) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

map<string, .tensorflow.AttrValue> attrs = 5;

getAudio() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Audio audio = 6;

getAudio() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.Summary.Audio audio = 6;

getAudio() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.Summary.Audio audio = 6;

getAudioBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Audio audio = 6;

getAudioOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Audio audio = 6;

getAudioOrBuilder() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.Summary.Audio audio = 6;

getAudioOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.Summary.Audio audio = 6;

getAutoGcWindow() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

getAutoGcWindow() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method reutrns

getAutoParallel() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

getAutoParallel() - Method in class org.tensorflow.framework.RewriterConfig

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

getAutoParallel() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

getAutoParallelBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

getAutoParallelOrBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

getAutoParallelOrBuilder() - Method in class org.tensorflow.framework.RewriterConfig

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

getAutoParallelOrBuilder() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

getAvailableCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Get the set of available codecs for compression

getAverage() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet

getAverage(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator

getAverageLoopTime() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

getAverageLoopTime() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method returns average time between invokeGCOccasionally() calls

getAverageValue(MemcpyDirection) - Method in class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder

getAxis() - Method in class org.nd4j.evaluation.classification.Evaluation

Get the axis - see Evaluation.setAxis(int) for details

getAxis() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the axis - see EvaluationBinary.setAxis(int) for details

getAxis() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

Get the axis - see EvaluationCalibration.setAxis(int) for details

getAxis() - Method in class org.nd4j.evaluation.classification.ROC

Get the axis - see ROC.setAxis(int) for details

getAxis() - Method in class org.nd4j.evaluation.classification.ROCBinary

Get the axis - see ROCBinary.setAxis(int) for details

getAxis() - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Get the axis - see ROCMultiClass.setAxis(int) for details

getAxis() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Get the axis - see RegressionEvaluation.setAxis(int) for details

getB() - Method in class org.tensorflow.framework.AttrValue.Builder

"bool"

getB() - Method in class org.tensorflow.framework.AttrValue

"bool"

getB() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"bool"

getB(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(bool)"

getB(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(bool)"

getB(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(bool)"

getBackend() - Static method in class org.nd4j.linalg.factory.Nd4j

Retrieve the Nd4J backend.

getBackProp() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Whether backprop is enabled for this while loop.

getBackProp() - Method in class org.tensorflow.framework.WhileContextDef

Whether backprop is enabled for this while loop.

getBackProp() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Whether backprop is enabled for this while loop.

getBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef.Builder

Specific consumer versions which are disallowed (e.g.

getBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef

Specific consumer versions which are disallowed (e.g.

getBadConsumers(int) - Method in interface org.tensorflow.framework.VersionDefOrBuilder

Specific consumer versions which are disallowed (e.g.

getBadConsumersCount() - Method in class org.tensorflow.framework.VersionDef.Builder

Specific consumer versions which are disallowed (e.g.

getBadConsumersCount() - Method in class org.tensorflow.framework.VersionDef

Specific consumer versions which are disallowed (e.g.

getBadConsumersCount() - Method in interface org.tensorflow.framework.VersionDefOrBuilder

Specific consumer versions which are disallowed (e.g.

getBadConsumersList() - Method in class org.tensorflow.framework.VersionDef.Builder

Specific consumer versions which are disallowed (e.g.

getBadConsumersList() - Method in class org.tensorflow.framework.VersionDef

Specific consumer versions which are disallowed (e.g.

getBadConsumersList() - Method in interface org.tensorflow.framework.VersionDefOrBuilder

Specific consumer versions which are disallowed (e.g.

getBandwidth() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Memory bandwidth in KB/s

getBandwidth() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Memory bandwidth in KB/s

getBandwidth() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Memory bandwidth in KB/s

getBandwidthUse() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method returns per-device bandwidth use for memory transfers

getBArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp

getBArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

getBArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

getBArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

getBatches(List<U>) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch

Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit

getBatches(List<U>, int) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch

Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit

getBCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(bool)"

getBCount() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(bool)"

getBCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(bool)"

getBegin() - Method in class onnx.Onnx.TensorProto.Segment.Builder

int64 begin = 1;

getBegin() - Method in class onnx.Onnx.TensorProto.Segment

int64 begin = 1;

getBegin() - Method in interface onnx.Onnx.TensorProto.SegmentOrBuilder

int64 begin = 1;

getBegin() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

int64 begin = 1;

getBegin() - Method in class onnx.OnnxMl.TensorProto.Segment

int64 begin = 1;

getBegin() - Method in interface onnx.OnnxMl.TensorProto.SegmentOrBuilder

int64 begin = 1;

getBegin() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

int64 begin = 1;

getBegin() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

int64 begin = 1;

getBegin() - Method in interface org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder

int64 begin = 1;

getBinCounts() - Method in class org.nd4j.evaluation.curves.BaseHistogram

getBinLowerBounds() - Method in class org.nd4j.evaluation.curves.BaseHistogram

getBinLowerBounds() - Method in class org.nd4j.evaluation.curves.Histogram

getBinMidValues() - Method in class org.nd4j.evaluation.curves.BaseHistogram

getBinMidValues() - Method in class org.nd4j.evaluation.curves.Histogram

getBinUpperBounds() - Method in class org.nd4j.evaluation.curves.BaseHistogram

getBinUpperBounds() - Method in class org.nd4j.evaluation.curves.Histogram

getBlasOffset(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Get blas stride for the given array

getBlasStride(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Get blas stride for the given array

getBlasVendor() - Method in interface org.nd4j.linalg.api.blas.Blas

Returns the BLAS library vendor

getBlasVendorId() - Method in interface org.nd4j.linalg.api.blas.Blas

Returns the BLAS library vendor id 0 - UNKNOWN, 1 - CUBLAS, 2 - OPENBLAS, 3 - MKL

getBlasWrapper() - Static method in class org.nd4j.linalg.factory.Nd4j

Retrieve the BLAS wrapper.

getBList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(bool)"

getBList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(bool)"

getBList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(bool)"

getBooleanFromProperty(String, Map<String, Object>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

getBoolVal(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

boolean values

getBoolVal(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

boolean values

getBoolVal(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

boolean values

getBoolVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_BOOL

getBoolVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_BOOL

getBoolVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_BOOL

getBoolValCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

boolean values

getBoolValCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

boolean values

getBoolValCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

boolean values

getBoolValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_BOOL

getBoolValCount() - Method in class org.tensorflow.framework.TensorProto

DT_BOOL

getBoolValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_BOOL

getBoolValList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

boolean values

getBoolValList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

boolean values

getBoolValList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

boolean values

getBoolValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_BOOL

getBoolValList() - Method in class org.tensorflow.framework.TensorProto

DT_BOOL

getBoolValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_BOOL

getBoolValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool boolValue = 6;

getBoolValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

bool boolValue = 6;

getBoolValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

bool boolValue = 6;

getBranch() - Method in class org.tensorflow.framework.CondContextDef.Builder

Branch prediction.

getBranch() - Method in class org.tensorflow.framework.CondContextDef

Branch prediction.

getBranch() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Branch prediction.

getBroadcastDimensions(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Compute the broadcast rules according to: https://docs.scipy.org/doc/numpy-1.10.1/user/basics.broadcasting.html Note that the array can be null if the arrays are already equal in shape.

getBroadcastDimensions(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

getBucket(int) - Method in class org.tensorflow.framework.HistogramProto.Builder

repeated double bucket = 7 [packed = true];

getBucket(int) - Method in class org.tensorflow.framework.HistogramProto

repeated double bucket = 7 [packed = true];

getBucket(int) - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

repeated double bucket = 7 [packed = true];

getBucketCount() - Method in class org.tensorflow.framework.HistogramProto.Builder

repeated double bucket = 7 [packed = true];

getBucketCount() - Method in class org.tensorflow.framework.HistogramProto

repeated double bucket = 7 [packed = true];

getBucketCount() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

repeated double bucket = 7 [packed = true];

getBucketLimit(int) - Method in class org.tensorflow.framework.HistogramProto.Builder

Parallel arrays encoding the bucket boundaries and the bucket values.

getBucketLimit(int) - Method in class org.tensorflow.framework.HistogramProto

Parallel arrays encoding the bucket boundaries and the bucket values.

getBucketLimit(int) - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

Parallel arrays encoding the bucket boundaries and the bucket values.

getBucketLimitCount() - Method in class org.tensorflow.framework.HistogramProto.Builder

Parallel arrays encoding the bucket boundaries and the bucket values.

getBucketLimitCount() - Method in class org.tensorflow.framework.HistogramProto

Parallel arrays encoding the bucket boundaries and the bucket values.

getBucketLimitCount() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

Parallel arrays encoding the bucket boundaries and the bucket values.

getBucketLimitList() - Method in class org.tensorflow.framework.HistogramProto.Builder

Parallel arrays encoding the bucket boundaries and the bucket values.

getBucketLimitList() - Method in class org.tensorflow.framework.HistogramProto

Parallel arrays encoding the bucket boundaries and the bucket values.

getBucketLimitList() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

Parallel arrays encoding the bucket boundaries and the bucket values.

getBucketList() - Method in class org.tensorflow.framework.HistogramProto.Builder

repeated double bucket = 7 [packed = true];

getBucketList() - Method in class org.tensorflow.framework.HistogramProto

repeated double bucket = 7 [packed = true];

getBucketList() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

repeated double bucket = 7 [packed = true];

getBuffer(ByteBuffer) - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BFloat16TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BoolTensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float16TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float32TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float64TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int16TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int32TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int64TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int8TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.StringTensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt16TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt32TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt64TensorMapper

getBuffer(ByteBuffer) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt8TensorMapper

getBufPtr() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

When RDMA is in use, address of destination field on client.

getBufPtr() - Method in class org.tensorflow.distruntime.RecvBufRequest

When RDMA is in use, address of destination field on client.

getBufPtr() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

When RDMA is in use, address of destination field on client.

getBufPtr() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Address of source field on server.

getBufPtr() - Method in class org.tensorflow.distruntime.RecvBufResponse

Address of source field on server.

getBufPtr() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder

Address of source field on server.

getBufRendezvousKey() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Arbitrary string identifying a BufRendezvous entry.

getBufRendezvousKey() - Method in class org.tensorflow.distruntime.RecvBufRequest

Arbitrary string identifying a BufRendezvous entry.

getBufRendezvousKey() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Arbitrary string identifying a BufRendezvous entry.

getBufRendezvousKeyBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Arbitrary string identifying a BufRendezvous entry.

getBufRendezvousKeyBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest

Arbitrary string identifying a BufRendezvous entry.

getBufRendezvousKeyBytes() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Arbitrary string identifying a BufRendezvous entry.

getBuildCostModel() - Method in class org.tensorflow.framework.GraphOptions.Builder

The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.

getBuildCostModel() - Method in class org.tensorflow.framework.GraphOptions

The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.

getBuildCostModel() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.

getBuildCostModelAfter() - Method in class org.tensorflow.framework.GraphOptions.Builder

The number of steps to skip before collecting statistics for the cost model.

getBuildCostModelAfter() - Method in class org.tensorflow.framework.GraphOptions

The number of steps to skip before collecting statistics for the cost model.

getBuildCostModelAfter() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

The number of steps to skip before collecting statistics for the cost model.

getBusId() - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional bus locality of device.

getBusId() - Method in class org.tensorflow.framework.DeviceLocality

Optional bus locality of device.

getBusId() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder

Optional bus locality of device.

getById(int) - Method in class org.nd4j.autodiff.execution.input.Operands

This method returns array identified its numeric id

getById(int, int) - Method in class org.nd4j.autodiff.execution.input.Operands

This method returns array identified its numeric id and index

getById(String) - Method in class org.nd4j.autodiff.execution.input.Operands

This method returns array identified its name

getBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Byte size of the file.

getBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile

Byte size of the file.

getBytes() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

Byte size of the file.

getBytesList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

getBytesList() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.BytesList bytes_list = 2;

getBytesList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

getBytesListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

getBytesListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

getBytesListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.BytesList bytes_list = 2;

getBytesListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

getCachedBytes() - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

getCachedBytes() - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider

This method returns memory used for cache, in bytes

getCachedBytes() - Method in interface org.nd4j.linalg.cache.ConstantHandler

This method returns memory used for cache, in bytes

getCachedBytes() - Method in interface org.nd4j.linalg.cache.TADManager

This method returns memory used for cache, in bytes

getCancelOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to cancel the queue.

getCancelOpName() - Method in class org.tensorflow.framework.QueueRunnerDef

The operation to run to cancel the queue.

getCancelOpName() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

The operation to run to cancel the queue.

getCancelOpNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to cancel the queue.

getCancelOpNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef

The operation to run to cancel the queue.

getCancelOpNameBytes() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

The operation to run to cancel the queue.

getCharForTranspose(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Returns the proper character for how to interpret a buffer (fortran being N C being T)

getCheckpointKey() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The generated name of the Tensor in the checkpoint.

getCheckpointKey() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

The generated name of the Tensor in the checkpoint.

getCheckpointKey() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder

The generated name of the Tensor in the checkpoint.

getCheckpointKeyBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The generated name of the Tensor in the checkpoint.

getCheckpointKeyBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

The generated name of the Tensor in the checkpoint.

getCheckpointKeyBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder

The generated name of the Tensor in the checkpoint.

getChildren(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

getChildren(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Objects which this object depends on.

getChildren(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Objects which this object depends on.

getChildrenBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

getChildrenBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

getChildrenCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

getChildrenCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Objects which this object depends on.

getChildrenCount() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Objects which this object depends on.

getChildrenList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

getChildrenList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Objects which this object depends on.

getChildrenList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Objects which this object depends on.

getChildrenOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

getChildrenOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Objects which this object depends on.

getChildrenOrBuilder(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Objects which this object depends on.

getChildrenOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

getChildrenOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Objects which this object depends on.

getChildrenOrBuilderList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Objects which this object depends on.

getClasses() - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

Gives the applyTransformToDestination of all classes in the confusion matrix.

getClassLabel(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation

getClear() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

If true, discard any saved logging data (for all steps).

getClear() - Method in class org.tensorflow.distruntime.LoggingRequest

If true, discard any saved logging data (for all steps).

getClear() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder

If true, discard any saved logging data (for all steps).

getClientLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on client-side device locality.

getClientLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional information on client-side device locality.

getClientLocality() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional information on client-side device locality.

getClientLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on client-side device locality.

getClientLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Optional information on client-side device locality.

getClientLocality() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Optional information on client-side device locality.

getClientLocalityBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on client-side device locality.

getClientLocalityBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on client-side device locality.

getClientLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on client-side device locality.

getClientLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional information on client-side device locality.

getClientLocalityOrBuilder() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional information on client-side device locality.

getClientLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on client-side device locality.

getClientLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Optional information on client-side device locality.

getClientLocalityOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Optional information on client-side device locality.

getCloseOpName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to close the queue.

getCloseOpName() - Method in class org.tensorflow.framework.QueueRunnerDef

The operation to run to close the queue.

getCloseOpName() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

The operation to run to close the queue.

getCloseOpNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to close the queue.

getCloseOpNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef

The operation to run to close the queue.

getCloseOpNameBytes() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

The operation to run to close the queue.

getCluster() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The cluster of which this server is a member.

getCluster() - Method in class org.tensorflow.distruntime.ServerDef

The cluster of which this server is a member.

getCluster() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The cluster of which this server is a member.

getClusterBuilder() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The cluster of which this server is a member.

getClusterDef() - Method in class org.tensorflow.framework.ConfigProto.Builder

Optional list of all workers to use in this session.

getClusterDef() - Method in class org.tensorflow.framework.ConfigProto

Optional list of all workers to use in this session.

getClusterDef() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Optional list of all workers to use in this session.

getClusterDefBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

Optional list of all workers to use in this session.

getClusterDefOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

Optional list of all workers to use in this session.

getClusterDefOrBuilder() - Method in class org.tensorflow.framework.ConfigProto

Optional list of all workers to use in this session.

getClusterDefOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Optional list of all workers to use in this session.

getClusterOrBuilder() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The cluster of which this server is a member.

getClusterOrBuilder() - Method in class org.tensorflow.distruntime.ServerDef

The cluster of which this server is a member.

getClusterOrBuilder() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The cluster of which this server is a member.

getCollection() - Method in class org.nd4j.autodiff.samediff.config.SDValue

getCollection() - Method in interface org.nd4j.autodiff.samediff.internal.IDependeeGroup

getCollectionDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Deprecated.

getCollectionDef() - Method in class org.tensorflow.framework.MetaGraphDef

Deprecated.

getCollectionDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

Deprecated.

getCollectionDefCount() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

getCollectionDefCount() - Method in class org.tensorflow.framework.MetaGraphDef

getCollectionDefCount() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

collection_def: Map from collection name to collections.

getCollectionDefMap() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

collection_def: Map from collection name to collections.

getCollectionDefMap() - Method in class org.tensorflow.framework.MetaGraphDef

collection_def: Map from collection name to collections.

getCollectionDefMap() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

collection_def: Map from collection name to collections.

getCollectionDefOrDefault(String, CollectionDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

collection_def: Map from collection name to collections.

getCollectionDefOrDefault(String, CollectionDef) - Method in class org.tensorflow.framework.MetaGraphDef

collection_def: Map from collection name to collections.

getCollectionDefOrDefault(String, CollectionDef) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

collection_def: Map from collection name to collections.

getCollectionDefOrThrow(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

collection_def: Map from collection name to collections.

getCollectionDefOrThrow(String) - Method in class org.tensorflow.framework.MetaGraphDef

collection_def: Map from collection name to collections.

getCollectionDefOrThrow(String) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

collection_def: Map from collection name to collections.

getCollectiveGraphKey() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.

getCollectiveGraphKey() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.

getCollectiveGraphKey() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.

getCollectiveGraphKey() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).

getCollectiveGraphKey() - Method in class org.tensorflow.framework.RunOptions.Experimental

If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).

getCollectiveGraphKey() - Method in interface org.tensorflow.framework.RunOptions.ExperimentalOrBuilder

If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).

getCollectiveGroupLeader() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

Task name for group resolution.

getCollectiveGroupLeader() - Method in class org.tensorflow.framework.ConfigProto.Experimental

Task name for group resolution.

getCollectiveGroupLeader() - Method in interface org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder

Task name for group resolution.

getCollectiveGroupLeaderBytes() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

Task name for group resolution.

getCollectiveGroupLeaderBytes() - Method in class org.tensorflow.framework.ConfigProto.Experimental

Task name for group resolution.

getCollectiveGroupLeaderBytes() - Method in interface org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder

Task name for group resolution.

getColorspace() - Method in class org.tensorflow.framework.Summary.Image.Builder

Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA

getColorspace() - Method in class org.tensorflow.framework.Summary.Image

Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA

getColorspace() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder

Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA

getColumn(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getColumn(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the specified column.

getColumn(long, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getColumn(long, boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the specified column.

getColumnNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet

getColumnNames() - Method in class org.nd4j.linalg.dataset.DataSet

Deprecated.

getColumns(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getColumns(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get an INDArray comprised of the specified columns only.

getCompressionType() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method returns compression opType provided by specific NDArrayCompressor implementation

getCompressor() - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns BasicNDArrayCompressor instance, suitable for NDArray compression/decompression at runtime

getCompressor(String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

getComputeCost() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Estimate of the computational cost of this node, in microseconds.

getComputeCost() - Method in class org.tensorflow.framework.CostGraphDef.Node

Estimate of the computational cost of this node, in microseconds.

getComputeCost() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Estimate of the computational cost of this node, in microseconds.

getComputeTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Analytical estimate of the computational cost of this node, in microseconds.

getComputeTime() - Method in class org.tensorflow.framework.CostGraphDef.Node

Analytical estimate of the computational cost of this node, in microseconds.

getComputeTime() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Analytical estimate of the computational cost of this node, in microseconds.

getCondCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.CondContextDef cond_ctxt = 1;

getCondCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef

.tensorflow.CondContextDef cond_ctxt = 1;

getCondCtxt() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder

.tensorflow.CondContextDef cond_ctxt = 1;

getCondCtxtBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.CondContextDef cond_ctxt = 1;

getCondCtxtOrBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.CondContextDef cond_ctxt = 1;

getCondCtxtOrBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef

.tensorflow.CondContextDef cond_ctxt = 1;

getCondCtxtOrBuilder() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder

.tensorflow.CondContextDef cond_ctxt = 1;

getConf() - Method in class org.nd4j.context.Nd4jContext

Get the configuration for nd4j

getConfig() - Method in interface org.nd4j.linalg.learning.GradientUpdater

getConfig() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

Configuration options.

getConfig() - Method in class org.tensorflow.distruntime.CreateSessionRequest

Configuration options.

getConfig() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder

Configuration options.

getConfigBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

Configuration options.

getConfigOrBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

Configuration options.

getConfigOrBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest

Configuration options.

getConfigOrBuilder() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder

Configuration options.

getConfiguration(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

getConfiguration(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

getConfigurationResource() - Method in class org.nd4j.linalg.factory.Nd4jBackend

Get the configuration resource

getConfusionMatrix() - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the confusion matrix variable

getConfusionMatrixAtPoint(int) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

Get the binary confusion matrix for the given position.

getConfusionMatrixAtThreshold(double) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

Get the binary confusion matrix for the given threshold.

getConstantBuffer(boolean[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler

This method returns DataBuffer with constant equal to input array.

getConstantBuffer(double[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler

This method returns DataBuffer with contant equal to input array.

getConstantBuffer(float[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler

This method returns DataBuffer with contant equal to input array.

getConstantBuffer(int[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler

getConstantBuffer(long[], DataType) - Method in interface org.nd4j.linalg.cache.ConstantHandler

This method returns DataBuffer with constant equal to input array.

getConstantFolding() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.

getConstantFolding() - Method in class org.tensorflow.framework.RewriterConfig

Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.

getConstantFolding() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.

getConstantFoldingValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.

getConstantFoldingValue() - Method in class org.tensorflow.framework.RewriterConfig

Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.

getConstantFoldingValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.

getConstantHandler() - Static method in class org.nd4j.linalg.factory.Nd4j

getConstantOrVariable(String) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get the constant or variable output - for example, constant array or constant shape.

getConstantOrVariable(String) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession

getConstNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

getConstraint(int) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraint(int) - Method in class org.tensorflow.framework.KernelDef

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraint(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintBuilder(int) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintBuilderList() - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintCount() - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintCount() - Method in class org.tensorflow.framework.KernelDef

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintCount() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintList() - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintList() - Method in class org.tensorflow.framework.KernelDef

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintList() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintOrBuilder(int) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintOrBuilder(int) - Method in class org.tensorflow.framework.KernelDef

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintOrBuilder(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintOrBuilderList() - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintOrBuilderList() - Method in class org.tensorflow.framework.KernelDef

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getConstraintOrBuilderList() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getContainer() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Container in which this resource is placed.

getContainer() - Method in class org.tensorflow.framework.ResourceHandleProto

Container in which this resource is placed.

getContainer() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder

Container in which this resource is placed.

getContainer(int) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

A list of container names.

getContainer(int) - Method in class org.tensorflow.distruntime.CleanupAllRequest

A list of container names.

getContainer(int) - Method in interface org.tensorflow.distruntime.CleanupAllRequestOrBuilder

A list of container names.

getContainer(int) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

A list of container names, which may be empty.

getContainer(int) - Method in class org.tensorflow.distruntime.ResetRequest

A list of container names, which may be empty.

getContainer(int) - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder

A list of container names, which may be empty.

getContainerBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Container in which this resource is placed.

getContainerBytes() - Method in class org.tensorflow.framework.ResourceHandleProto

Container in which this resource is placed.

getContainerBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder

Container in which this resource is placed.

getContainerBytes(int) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

A list of container names.

getContainerBytes(int) - Method in class org.tensorflow.distruntime.CleanupAllRequest

A list of container names.

getContainerBytes(int) - Method in interface org.tensorflow.distruntime.CleanupAllRequestOrBuilder

A list of container names.

getContainerBytes(int) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

A list of container names, which may be empty.

getContainerBytes(int) - Method in class org.tensorflow.distruntime.ResetRequest

A list of container names, which may be empty.

getContainerBytes(int) - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder

A list of container names, which may be empty.

getContainerCount() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

A list of container names.

getContainerCount() - Method in class org.tensorflow.distruntime.CleanupAllRequest

A list of container names.

getContainerCount() - Method in interface org.tensorflow.distruntime.CleanupAllRequestOrBuilder

A list of container names.

getContainerCount() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

A list of container names, which may be empty.

getContainerCount() - Method in class org.tensorflow.distruntime.ResetRequest

A list of container names, which may be empty.

getContainerCount() - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder

A list of container names, which may be empty.

getContainerList() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

A list of container names.

getContainerList() - Method in class org.tensorflow.distruntime.CleanupAllRequest

A list of container names.

getContainerList() - Method in interface org.tensorflow.distruntime.CleanupAllRequestOrBuilder

A list of container names.

getContainerList() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

A list of container names, which may be empty.

getContainerList() - Method in class org.tensorflow.distruntime.ResetRequest

A list of container names, which may be empty.

getContainerList() - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder

A list of container names, which may be empty.

getContent() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

The content to store for the plugin.

getContent() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

The content to store for the plugin.

getContent() - Method in interface org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder

The content to store for the plugin.

getContentType() - Method in class org.tensorflow.framework.Summary.Audio.Builder

string content_type = 5;

getContentType() - Method in class org.tensorflow.framework.Summary.Audio

string content_type = 5;

getContentType() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder

string content_type = 5;

getContentTypeBytes() - Method in class org.tensorflow.framework.Summary.Audio.Builder

string content_type = 5;

getContentTypeBytes() - Method in class org.tensorflow.framework.Summary.Audio

string content_type = 5;

getContentTypeBytes() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder

string content_type = 5;

getContext() - Method in class org.nd4j.linalg.factory.Nd4jBackend

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

fixed64 context_id = 1;

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

fixed64 context_id = 1;

getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.CloseContextRequestOrBuilder

fixed64 context_id = 1;

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

The ID of the created context.

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

The ID of the created context.

getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder

The ID of the created context.

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

fixed64 context_id = 1;

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

fixed64 context_id = 1;

getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder

fixed64 context_id = 1;

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

fixed64 context_id = 1;

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

fixed64 context_id = 1;

getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.KeepAliveRequestOrBuilder

fixed64 context_id = 1;

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

fixed64 context_id = 1;

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

fixed64 context_id = 1;

getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder

fixed64 context_id = 1;

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

fixed64 context_id = 1;

getContextId() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

fixed64 context_id = 1;

getContextId() - Method in interface tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder

fixed64 context_id = 1;

getContextName() - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the context.

getContextName() - Method in class org.tensorflow.framework.CondContextDef

Name of the context.

getContextName() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Name of the context.

getContextName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the context.

getContextName() - Method in class org.tensorflow.framework.WhileContextDef

Name of the context.

getContextName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Name of the context.

getContextNameBytes() - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the context.

getContextNameBytes() - Method in class org.tensorflow.framework.CondContextDef

Name of the context.

getContextNameBytes() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Name of the context.

getContextNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the context.

getContextNameBytes() - Method in class org.tensorflow.framework.WhileContextDef

Name of the context.

getContextNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Name of the context.

getControlDepFor() - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

getControlDeps() - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

getControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Ids of the control inputs for this node.

getControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node

Ids of the control inputs for this node.

getControlInput(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Ids of the control inputs for this node.

getControlInputCount() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Ids of the control inputs for this node.

getControlInputCount() - Method in class org.tensorflow.framework.CostGraphDef.Node

Ids of the control inputs for this node.

getControlInputCount() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Ids of the control inputs for this node.

getControlInputList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Ids of the control inputs for this node.

getControlInputList() - Method in class org.tensorflow.framework.CostGraphDef.Node

Ids of the control inputs for this node.

getControlInputList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Ids of the control inputs for this node.

getControlOpIds(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

getControlOpIds(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

Control Operation IDs that will be respected when ops are re-ordered by async execution.

getControlOpIds(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

getControlOpIdsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

getControlOpIdsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

Control Operation IDs that will be respected when ops are re-ordered by async execution.

getControlOpIdsCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

getControlOpIdsList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

getControlOpIdsList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

Control Operation IDs that will be respected when ops are re-ordered by async execution.

getControlOpIdsList() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

getConvertBoolToInt() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool convertBoolToInt = 14;

getConvertBoolToInt() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

bool convertBoolToInt = 14;

getConvertBoolToInt() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

bool convertBoolToInt = 14;

getConvolution() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the convolution singleton

getCooSparse() - Method in class org.tensorflow.framework.TensorInfo.Builder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

getCooSparse() - Method in class org.tensorflow.framework.TensorInfo

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

getCooSparse() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

getCooSparseBuilder() - Method in class org.tensorflow.framework.TensorInfo.Builder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

getCooSparseOrBuilder() - Method in class org.tensorflow.framework.TensorInfo.Builder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

getCooSparseOrBuilder() - Method in class org.tensorflow.framework.TensorInfo

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

getCooSparseOrBuilder() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

getCostGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

.tensorflow.CostGraphDef cost_graph = 3;

getCostGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse

.tensorflow.CostGraphDef cost_graph = 3;

getCostGraph() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

.tensorflow.CostGraphDef cost_graph = 3;

getCostGraph() - Method in class org.tensorflow.framework.RunMetadata.Builder

The cost graph for the computation defined by the run call.

getCostGraph() - Method in class org.tensorflow.framework.RunMetadata

The cost graph for the computation defined by the run call.

getCostGraph() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

The cost graph for the computation defined by the run call.

getCostGraphBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

.tensorflow.CostGraphDef cost_graph = 3;

getCostGraphBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder

The cost graph for the computation defined by the run call.

getCostGraphOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

.tensorflow.CostGraphDef cost_graph = 3;

getCostGraphOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse

.tensorflow.CostGraphDef cost_graph = 3;

getCostGraphOrBuilder() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

.tensorflow.CostGraphDef cost_graph = 3;

getCostGraphOrBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder

The cost graph for the computation defined by the run call.

getCostGraphOrBuilder() - Method in class org.tensorflow.framework.RunMetadata

The cost graph for the computation defined by the run call.

getCostGraphOrBuilder() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

The cost graph for the computation defined by the run call.

getCount(String) - Method in class org.nd4j.linalg.profiler.data.StringCounter

getCount(T, T) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

Gives the count of the number of times the "predicted" class was predicted for the "actual" class.

getCountActualNegative(int) - Method in class org.nd4j.evaluation.classification.ROCBinary

Get the actual negative count (accounting for any masking) for the specified output/column

getCountActualNegative(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Get the actual negative count (accounting for any masking) for the specified output/column

getCountActualPositive(int) - Method in class org.nd4j.evaluation.classification.ROCBinary

Get the actual positive count (accounting for any masking) for the specified output/column

getCountActualPositive(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Get the actual positive count (accounting for any masking) for the specified class

getCovarianceMatrix() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA

getCrc32C() - Method in class org.tensorflow.util.BundleEntryProto.Builder

The CRC32C checksum of the tensor bytes.

getCrc32C() - Method in class org.tensorflow.util.BundleEntryProto

The CRC32C checksum of the tensor bytes.

getCrc32C() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

The CRC32C checksum of the tensor bytes.

getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

Set to true if `CreateWorkerSession` was called for `session_handle`.

getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

Set to true if `CreateWorkerSession` was called for `session_handle`.

getCreateWorkerSessionCalled() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder

Set to true if `CreateWorkerSession` was called for `session_handle`.

getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Set to true if `CreateWorkerSession` was called for `session_handle`.

getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Set to true if `CreateWorkerSession` was called for `session_handle`.

getCreateWorkerSessionCalled() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Set to true if `CreateWorkerSession` was called for `session_handle`.

getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Set to true if `CreateWorkerSession` was called for `session_handle`.

getCreateWorkerSessionCalled() - Method in class org.tensorflow.distruntime.RunGraphRequest

Set to true if `CreateWorkerSession` was called for `session_handle`.

getCreateWorkerSessionCalled() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

Set to true if `CreateWorkerSession` was called for `session_handle`.

getCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

Name of the critical section handle.

getCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionDef

Name of the critical section handle.

getCriticalSectionName() - Method in interface org.tensorflow.framework.CriticalSectionDefOrBuilder

Name of the critical section handle.

getCriticalSectionNameBytes() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

Name of the critical section handle.

getCriticalSectionNameBytes() - Method in class org.tensorflow.framework.CriticalSectionDef

Name of the critical section handle.

getCriticalSectionNameBytes() - Method in interface org.tensorflow.framework.CriticalSectionDefOrBuilder

Name of the critical section handle.

getCtxtCase() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

getCtxtCase() - Method in class org.tensorflow.framework.ControlFlowContextDef

getCtxtCase() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder

getCurrentBandwidth() - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker

getCurrentGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The version number of the graph to be extended.

getCurrentGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

REQUIRED: The version number of the graph to be extended.

getCurrentGraphVersion() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder

REQUIRED: The version number of the graph to be extended.

getCurrentOffset() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

getCurrentOffset() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

getCurrentOffset() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This mehtod returns current offset within buffer

getCurrentSize() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This methos returns current allocated size of this workspace

getCurrentSize() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns current amount of memory allocated for workspace.

getCurrentSize() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This methos returns current allocated size of this workspace

getCurrentWork() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

bytes current_work = 4;

getCurrentWork() - Method in class org.tensorflow.framework.ReaderBaseState

bytes current_work = 4;

getCurrentWork() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder

bytes current_work = 4;

getCurrentWorkspace() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

getCurrentWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

getCustomOperations() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

getCustomOperations() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns names of all custom operations available in current backend, and their number of input/output arguments

getCustomOptimizers(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

getCustomOptimizers(int) - Method in class org.tensorflow.framework.RewriterConfig

list of CustomGraphOptimizers to apply.

getCustomOptimizers(int) - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

list of CustomGraphOptimizers to apply.

getCustomOptimizersBuilder(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

getCustomOptimizersBuilderList() - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

getCustomOptimizersCount() - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

getCustomOptimizersCount() - Method in class org.tensorflow.framework.RewriterConfig

list of CustomGraphOptimizers to apply.

getCustomOptimizersCount() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

list of CustomGraphOptimizers to apply.

getCustomOptimizersList() - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

getCustomOptimizersList() - Method in class org.tensorflow.framework.RewriterConfig

list of CustomGraphOptimizers to apply.

getCustomOptimizersList() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

list of CustomGraphOptimizers to apply.

getCustomOptimizersOrBuilder(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

getCustomOptimizersOrBuilder(int) - Method in class org.tensorflow.framework.RewriterConfig

list of CustomGraphOptimizers to apply.

getCustomOptimizersOrBuilder(int) - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

list of CustomGraphOptimizers to apply.

getCustomOptimizersOrBuilderList() - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

getCustomOptimizersOrBuilderList() - Method in class org.tensorflow.framework.RewriterConfig

list of CustomGraphOptimizers to apply.

getCustomOptimizersOrBuilderList() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

list of CustomGraphOptimizers to apply.

getCyclesCount() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

getDArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

getDArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

getData() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

bytes data = 4;

getData() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

bytes data = 4;

getData() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder

bytes data = 4;

getDataBufferFactory() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the data buffer factory instance.

getDataLocation() - Method in class onnx.Onnx.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in class onnx.Onnx.TensorProto

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in interface onnx.Onnx.TensorProtoOrBuilder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in class onnx.OnnxMl.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in class onnx.OnnxMl.TensorProto

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocationValue() - Method in class onnx.Onnx.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocationValue() - Method in class onnx.Onnx.TensorProto

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocationValue() - Method in interface onnx.Onnx.TensorProtoOrBuilder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocationValue() - Method in class onnx.OnnxMl.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocationValue() - Method in class onnx.OnnxMl.TensorProto

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocationValue() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocationValue() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocationValue() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocationValue() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataType() - Method in class onnx.Onnx.TensorProto.Builder

The data type of the tensor.

getDataType() - Method in class onnx.Onnx.TensorProto

The data type of the tensor.

getDataType() - Method in interface onnx.Onnx.TensorProtoOrBuilder

The data type of the tensor.

getDataType() - Method in class onnx.OnnxMl.TensorProto.Builder

The data type of the tensor.

getDataType() - Method in class onnx.OnnxMl.TensorProto

The data type of the tensor.

getDataType() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

The data type of the tensor.

getDataType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The data type of the tensor.

getDataType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

The data type of the tensor.

getDataType() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

The data type of the tensor.

getDataType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.DataType data_type = 3;

getDataType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

.tensorflow.DataType data_type = 3;

getDataType() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

.tensorflow.DataType data_type = 3;

getDataTypeAsByte(DataType) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

This method converts enums for DataType

getDataTypeFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

This method converts enums for DataType

getDataTypeValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.DataType dataTypeValue = 7;

getDataTypeValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.DataType dataTypeValue = 7;

getDataTypeValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.DataType dataTypeValue = 7;

getDataTypeValue() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.DataType data_type = 3;

getDataTypeValue() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

.tensorflow.DataType data_type = 3;

getDataTypeValue() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

.tensorflow.DataType data_type = 3;

getDataTypeValueValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.DataType dataTypeValue = 7;

getDataTypeValueValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.DataType dataTypeValue = 7;

getDataTypeValueValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.DataType dataTypeValue = 7;

getDcomplexVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX128.

getDcomplexVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_COMPLEX128.

getDcomplexVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_COMPLEX128.

getDcomplexValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX128.

getDcomplexValCount() - Method in class org.tensorflow.framework.TensorProto

DT_COMPLEX128.

getDcomplexValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_COMPLEX128.

getDcomplexValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX128.

getDcomplexValList() - Method in class org.tensorflow.framework.TensorProto

DT_COMPLEX128.

getDcomplexValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_COMPLEX128.

getDeallocatorService() - Static method in class org.nd4j.linalg.factory.Nd4j

getDebugMode() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method returns current debug mode active in this JVM

getDebugMode() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

getDebugOps(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name(s) of the debugging op(s).

getDebugOps(int) - Method in class org.tensorflow.framework.DebugTensorWatch

Name(s) of the debugging op(s).

getDebugOps(int) - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

Name(s) of the debugging op(s).

getDebugOpsBytes(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name(s) of the debugging op(s).

getDebugOpsBytes(int) - Method in class org.tensorflow.framework.DebugTensorWatch

Name(s) of the debugging op(s).

getDebugOpsBytes(int) - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

Name(s) of the debugging op(s).

getDebugOpsCount() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name(s) of the debugging op(s).

getDebugOpsCount() - Method in class org.tensorflow.framework.DebugTensorWatch

Name(s) of the debugging op(s).

getDebugOpsCount() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

Name(s) of the debugging op(s).

getDebugOpsList() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name(s) of the debugging op(s).

getDebugOpsList() - Method in class org.tensorflow.framework.DebugTensorWatch

Name(s) of the debugging op(s).

getDebugOpsList() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

Name(s) of the debugging op(s).

getDebugOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Field(s) used by TensorFlow Debugger (tfdbg).

getDebugOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Field(s) used by TensorFlow Debugger (tfdbg).

getDebugOptions() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Field(s) used by TensorFlow Debugger (tfdbg).

getDebugOptions() - Method in class org.tensorflow.framework.RunOptions.Builder

EXPERIMENTAL.

getDebugOptions() - Method in class org.tensorflow.framework.RunOptions

EXPERIMENTAL.

getDebugOptions() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

EXPERIMENTAL.

getDebugOptionsBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Field(s) used by TensorFlow Debugger (tfdbg).

getDebugOptionsBuilder() - Method in class org.tensorflow.framework.RunOptions.Builder

EXPERIMENTAL.

getDebugOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Field(s) used by TensorFlow Debugger (tfdbg).

getDebugOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Field(s) used by TensorFlow Debugger (tfdbg).

getDebugOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Field(s) used by TensorFlow Debugger (tfdbg).

getDebugOptionsOrBuilder() - Method in class org.tensorflow.framework.RunOptions.Builder

EXPERIMENTAL.

getDebugOptionsOrBuilder() - Method in class org.tensorflow.framework.RunOptions

EXPERIMENTAL.

getDebugOptionsOrBuilder() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

EXPERIMENTAL.

getDebugStripper() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Strips debug-related nodes from the graph (off by default).

getDebugStripper() - Method in class org.tensorflow.framework.RewriterConfig

Strips debug-related nodes from the graph (off by default).

getDebugStripper() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Strips debug-related nodes from the graph (off by default).

getDebugStripperValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Strips debug-related nodes from the graph (off by default).

getDebugStripperValue() - Method in class org.tensorflow.framework.RewriterConfig

Strips debug-related nodes from the graph (off by default).

getDebugStripperValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Strips debug-related nodes from the graph (off by default).

getDebugTensorWatchOpts(int) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

getDebugTensorWatchOpts(int) - Method in class org.tensorflow.framework.DebugOptions

Debugging options

getDebugTensorWatchOpts(int) - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder

Debugging options

getDebugTensorWatchOptsBuilder(int) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

getDebugTensorWatchOptsBuilderList() - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

getDebugTensorWatchOptsCount() - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

getDebugTensorWatchOptsCount() - Method in class org.tensorflow.framework.DebugOptions

Debugging options

getDebugTensorWatchOptsCount() - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder

Debugging options

getDebugTensorWatchOptsList() - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

getDebugTensorWatchOptsList() - Method in class org.tensorflow.framework.DebugOptions

Debugging options

getDebugTensorWatchOptsList() - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder

Debugging options

getDebugTensorWatchOptsOrBuilder(int) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

getDebugTensorWatchOptsOrBuilder(int) - Method in class org.tensorflow.framework.DebugOptions

Debugging options

getDebugTensorWatchOptsOrBuilder(int) - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder

Debugging options

getDebugTensorWatchOptsOrBuilderList() - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

getDebugTensorWatchOptsOrBuilderList() - Method in class org.tensorflow.framework.DebugOptions

Debugging options

getDebugTensorWatchOptsOrBuilderList() - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder

Debugging options

getDebugUrls(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

URL(s) for debug targets(s).

getDebugUrls(int) - Method in class org.tensorflow.framework.DebugTensorWatch

URL(s) for debug targets(s).

getDebugUrls(int) - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

URL(s) for debug targets(s).

getDebugUrlsBytes(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

URL(s) for debug targets(s).

getDebugUrlsBytes(int) - Method in class org.tensorflow.framework.DebugTensorWatch

URL(s) for debug targets(s).

getDebugUrlsBytes(int) - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

URL(s) for debug targets(s).

getDebugUrlsCount() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

URL(s) for debug targets(s).

getDebugUrlsCount() - Method in class org.tensorflow.framework.DebugTensorWatch

URL(s) for debug targets(s).

getDebugUrlsCount() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

URL(s) for debug targets(s).

getDebugUrlsList() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

URL(s) for debug targets(s).

getDebugUrlsList() - Method in class org.tensorflow.framework.DebugTensorWatch

URL(s) for debug targets(s).

getDebugUrlsList() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

URL(s) for debug targets(s).

getDefault() - Static method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer

Get the default serializer configured with strategies for the built-in normalizer implementations

getDefaultCompression() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Get the default compression algorithm as a string.

getDefaultGraphInputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShape(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeOrBuilder(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphInputTensorShapeOrBuilderList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op

getDefaultGraphOutputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShape(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeOrBuilder(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultGraphOutputTensorShapeOrBuilderList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

getDefaultInstance() - Static method in class onnx.Onnx.AttributeProto

getDefaultInstance() - Static method in class onnx.Onnx.FunctionProto

getDefaultInstance() - Static method in class onnx.Onnx.GraphProto

getDefaultInstance() - Static method in class onnx.Onnx.ModelProto

getDefaultInstance() - Static method in class onnx.Onnx.NodeProto

getDefaultInstance() - Static method in class onnx.Onnx.OperatorSetIdProto

getDefaultInstance() - Static method in class onnx.Onnx.SparseTensorProto

getDefaultInstance() - Static method in class onnx.Onnx.StringStringEntryProto

getDefaultInstance() - Static method in class onnx.Onnx.TensorAnnotation

getDefaultInstance() - Static method in class onnx.Onnx.TensorProto

getDefaultInstance() - Static method in class onnx.Onnx.TensorProto.Segment

getDefaultInstance() - Static method in class onnx.Onnx.TensorShapeProto.Dimension

getDefaultInstance() - Static method in class onnx.Onnx.TensorShapeProto

getDefaultInstance() - Static method in class onnx.Onnx.TrainingInfoProto

getDefaultInstance() - Static method in class onnx.Onnx.TypeProto

getDefaultInstance() - Static method in class onnx.Onnx.TypeProto.Map

getDefaultInstance() - Static method in class onnx.Onnx.TypeProto.Optional

getDefaultInstance() - Static method in class onnx.Onnx.TypeProto.Sequence

getDefaultInstance() - Static method in class onnx.Onnx.TypeProto.SparseTensor

getDefaultInstance() - Static method in class onnx.Onnx.TypeProto.Tensor

getDefaultInstance() - Static method in class onnx.Onnx.ValueInfoProto

getDefaultInstance() - Static method in class onnx.OnnxMl.AttributeProto

getDefaultInstance() - Static method in class onnx.OnnxMl.FunctionProto

getDefaultInstance() - Static method in class onnx.OnnxMl.GraphProto

getDefaultInstance() - Static method in class onnx.OnnxMl.ModelProto

getDefaultInstance() - Static method in class onnx.OnnxMl.NodeProto

getDefaultInstance() - Static method in class onnx.OnnxMl.OperatorSetIdProto

getDefaultInstance() - Static method in class onnx.OnnxMl.SparseTensorProto

getDefaultInstance() - Static method in class onnx.OnnxMl.StringStringEntryProto

getDefaultInstance() - Static method in class onnx.OnnxMl.TensorAnnotation

getDefaultInstance() - Static method in class onnx.OnnxMl.TensorProto

getDefaultInstance() - Static method in class onnx.OnnxMl.TensorProto.Segment

getDefaultInstance() - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

getDefaultInstance() - Static method in class onnx.OnnxMl.TensorShapeProto

getDefaultInstance() - Static method in class onnx.OnnxMl.TrainingInfoProto

getDefaultInstance() - Static method in class onnx.OnnxMl.TypeProto

getDefaultInstance() - Static method in class onnx.OnnxMl.TypeProto.Map

getDefaultInstance() - Static method in class onnx.OnnxMl.TypeProto.Opaque

getDefaultInstance() - Static method in class onnx.OnnxMl.TypeProto.Optional

getDefaultInstance() - Static method in class onnx.OnnxMl.TypeProto.Sequence

getDefaultInstance() - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

getDefaultInstance() - Static method in class onnx.OnnxMl.TypeProto.Tensor

getDefaultInstance() - Static method in class onnx.OnnxMl.ValueInfoProto

getDefaultInstance() - Static method in class onnx.OnnxOperators.OperatorProto

getDefaultInstance() - Static method in class onnx.OnnxOperators.OperatorSetProto

getDefaultInstance() - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

getDefaultInstance() - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

getDefaultInstance() - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

getDefaultInstance() - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

getDefaultInstance() - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

getDefaultInstance() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

getDefaultInstance() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

getDefaultInstance() - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

getDefaultInstance() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

getDefaultInstance() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

getDefaultInstance() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

getDefaultInstance() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

getDefaultInstance() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

getDefaultInstance() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

getDefaultInstance() - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CleanupAllRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CleanupAllResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CloseSessionRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CloseSessionResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ClusterDef

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CreateSessionRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CreateSessionResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ExecutorOpts

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.GetStatusRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.GetStatusResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.JobDef

getDefaultInstance() - Static method in class org.tensorflow.distruntime.LabeledStepStats

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ListDevicesRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ListDevicesResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.LoggingRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.LoggingResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.MakeCallableRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.MakeCallableResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RecvBufRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RecvBufResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RecvTensorRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RecvTensorResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ResetRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ResetResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunCallableRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunCallableResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunGraphRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunGraphResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunStepRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.RunStepResponse

getDefaultInstance() - Static method in class org.tensorflow.distruntime.ServerDef

getDefaultInstance() - Static method in class org.tensorflow.distruntime.StepSequence

getDefaultInstance() - Static method in class org.tensorflow.distruntime.TraceOpts

getDefaultInstance() - Static method in class org.tensorflow.distruntime.TracingRequest

getDefaultInstance() - Static method in class org.tensorflow.distruntime.TracingResponse

getDefaultInstance() - Static method in class org.tensorflow.framework.AllocationDescription

getDefaultInstance() - Static method in class org.tensorflow.framework.AllocationRecord

getDefaultInstance() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef.Arg

getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef.Attr

getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef.Endpoint

getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef

getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDefs

getDefaultInstance() - Static method in class org.tensorflow.framework.AssetFileDef

getDefaultInstance() - Static method in class org.tensorflow.framework.AttrValue

getDefaultInstance() - Static method in class org.tensorflow.framework.AttrValue.ListValue

getDefaultInstance() - Static method in class org.tensorflow.framework.AutoParallelOptions

getDefaultInstance() - Static method in class org.tensorflow.framework.CallableOptions

getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.AnyList

getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.BytesList

getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.FloatList

getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef

getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.Int64List

getDefaultInstance() - Static method in class org.tensorflow.framework.CollectionDef.NodeList

getDefaultInstance() - Static method in class org.tensorflow.framework.CondContextDef

getDefaultInstance() - Static method in class org.tensorflow.framework.ConfigProto.Experimental

getDefaultInstance() - Static method in class org.tensorflow.framework.ConfigProto

getDefaultInstance() - Static method in class org.tensorflow.framework.ControlFlowContextDef

getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef

getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef.Node

getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.CriticalSectionDef

getDefaultInstance() - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

getDefaultInstance() - Static method in class org.tensorflow.framework.DebuggedSourceFile

getDefaultInstance() - Static method in class org.tensorflow.framework.DebuggedSourceFiles

getDefaultInstance() - Static method in class org.tensorflow.framework.DebugOptions

getDefaultInstance() - Static method in class org.tensorflow.framework.DebugTensorWatch

getDefaultInstance() - Static method in class org.tensorflow.framework.DeviceAttributes

getDefaultInstance() - Static method in class org.tensorflow.framework.DeviceLocality

getDefaultInstance() - Static method in class org.tensorflow.framework.DeviceStepStats

getDefaultInstance() - Static method in class org.tensorflow.framework.FunctionDef

getDefaultInstance() - Static method in class org.tensorflow.framework.FunctionDefLibrary

getDefaultInstance() - Static method in class org.tensorflow.framework.GPUOptions.Experimental

getDefaultInstance() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

getDefaultInstance() - Static method in class org.tensorflow.framework.GPUOptions

getDefaultInstance() - Static method in class org.tensorflow.framework.GradientDef

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphDef

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphOptions

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferNodeInput

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.HistogramProto

getDefaultInstance() - Static method in class org.tensorflow.framework.InterconnectLink

getDefaultInstance() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

getDefaultInstance() - Static method in class org.tensorflow.framework.KernelDef

getDefaultInstance() - Static method in class org.tensorflow.framework.LocalLinks

getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogStep

getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryStats

getDefaultInstance() - Static method in class org.tensorflow.framework.MetaGraphDef

getDefaultInstance() - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

getDefaultInstance() - Static method in class org.tensorflow.framework.NameAttrList

getDefaultInstance() - Static method in class org.tensorflow.framework.NamedTensorProto

getDefaultInstance() - Static method in class org.tensorflow.framework.NodeDef

getDefaultInstance() - Static method in class org.tensorflow.framework.NodeExecStats

getDefaultInstance() - Static method in class org.tensorflow.framework.NodeOutput

getDefaultInstance() - Static method in class org.tensorflow.framework.OpDef.ArgDef

getDefaultInstance() - Static method in class org.tensorflow.framework.OpDef.AttrDef

getDefaultInstance() - Static method in class org.tensorflow.framework.OpDef

getDefaultInstance() - Static method in class org.tensorflow.framework.OpDeprecation

getDefaultInstance() - Static method in class org.tensorflow.framework.OpList

getDefaultInstance() - Static method in class org.tensorflow.framework.OptimizerOptions

getDefaultInstance() - Static method in class org.tensorflow.framework.QueueRunnerDef

getDefaultInstance() - Static method in class org.tensorflow.framework.ReaderBaseState

getDefaultInstance() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

getDefaultInstance() - Static method in class org.tensorflow.framework.ResourceHandleProto

getDefaultInstance() - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

getDefaultInstance() - Static method in class org.tensorflow.framework.RewriterConfig

getDefaultInstance() - Static method in class org.tensorflow.framework.RPCOptions

getDefaultInstance() - Static method in class org.tensorflow.framework.RunMetadata

getDefaultInstance() - Static method in class org.tensorflow.framework.RunOptions.Experimental

getDefaultInstance() - Static method in class org.tensorflow.framework.RunOptions

getDefaultInstance() - Static method in class org.tensorflow.framework.SavedModel

getDefaultInstance() - Static method in class org.tensorflow.framework.SaveSliceInfoDef

getDefaultInstance() - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

getDefaultInstance() - Static method in class org.tensorflow.framework.SignatureDef

getDefaultInstance() - Static method in class org.tensorflow.framework.StepStats

getDefaultInstance() - Static method in class org.tensorflow.framework.Summary.Audio

getDefaultInstance() - Static method in class org.tensorflow.framework.Summary

getDefaultInstance() - Static method in class org.tensorflow.framework.Summary.Image

getDefaultInstance() - Static method in class org.tensorflow.framework.Summary.Value

getDefaultInstance() - Static method in class org.tensorflow.framework.SummaryDescription

getDefaultInstance() - Static method in class org.tensorflow.framework.SummaryMetadata

getDefaultInstance() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

getDefaultInstance() - Static method in class org.tensorflow.framework.TensorConnection

getDefaultInstance() - Static method in class org.tensorflow.framework.TensorDescription

getDefaultInstance() - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

getDefaultInstance() - Static method in class org.tensorflow.framework.TensorInfo

getDefaultInstance() - Static method in class org.tensorflow.framework.TensorProto

getDefaultInstance() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

getDefaultInstance() - Static method in class org.tensorflow.framework.TensorShapeProto

getDefaultInstance() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

getDefaultInstance() - Static method in class org.tensorflow.framework.TensorSliceProto

getDefaultInstance() - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

getDefaultInstance() - Static method in class org.tensorflow.framework.ValuesDef

getDefaultInstance() - Static method in class org.tensorflow.framework.VariableDef

getDefaultInstance() - Static method in class org.tensorflow.framework.VariantTensorDataProto

getDefaultInstance() - Static method in class org.tensorflow.framework.VersionDef

getDefaultInstance() - Static method in class org.tensorflow.framework.WhileContextDef

getDefaultInstance() - Static method in class org.tensorflow.util.BundleEntryProto

getDefaultInstance() - Static method in class org.tensorflow.util.BundleHeaderProto

getDefaultInstance() - Static method in class org.tensorflow.util.IteratorStateMetadata

getDefaultInstance() - Static method in class org.tensorflow.util.SaverDef

getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

getDefaultInstance() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

getDefaultInstance() - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

getDefaultInstance() - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

getDefaultInstance() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

getDefaultInstance() - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

getDefaultInstanceForType() - Method in class onnx.Onnx.AttributeProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.AttributeProto

getDefaultInstanceForType() - Method in class onnx.Onnx.FunctionProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.FunctionProto

getDefaultInstanceForType() - Method in class onnx.Onnx.GraphProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.GraphProto

getDefaultInstanceForType() - Method in class onnx.Onnx.ModelProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.ModelProto

getDefaultInstanceForType() - Method in class onnx.Onnx.NodeProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.NodeProto

getDefaultInstanceForType() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.OperatorSetIdProto

getDefaultInstanceForType() - Method in class onnx.Onnx.SparseTensorProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.SparseTensorProto

getDefaultInstanceForType() - Method in class onnx.Onnx.StringStringEntryProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.StringStringEntryProto

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorAnnotation.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorAnnotation

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorProto

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorProto.Segment.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorProto.Segment

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorShapeProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorShapeProto.Dimension

getDefaultInstanceForType() - Method in class onnx.Onnx.TensorShapeProto

getDefaultInstanceForType() - Method in class onnx.Onnx.TrainingInfoProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TrainingInfoProto

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.Map.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.Map

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.Optional.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.Optional

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.Sequence

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.SparseTensor

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.TypeProto.Tensor

getDefaultInstanceForType() - Method in class onnx.Onnx.ValueInfoProto.Builder

getDefaultInstanceForType() - Method in class onnx.Onnx.ValueInfoProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.AttributeProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.AttributeProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.FunctionProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.FunctionProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.GraphProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.GraphProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.ModelProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.ModelProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.NodeProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.NodeProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.OperatorSetIdProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.SparseTensorProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.StringStringEntryProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorAnnotation

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorProto.Segment

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TensorShapeProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TrainingInfoProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Map

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Opaque

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Optional

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Sequence

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.TypeProto.Tensor

getDefaultInstanceForType() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxMl.ValueInfoProto

getDefaultInstanceForType() - Method in class onnx.OnnxOperators.OperatorProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxOperators.OperatorProto

getDefaultInstanceForType() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

getDefaultInstanceForType() - Method in class onnx.OnnxOperators.OperatorSetProto

getDefaultInstanceForType() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

getDefaultInstanceForType() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

getDefaultInstanceForType() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

getDefaultInstanceForType() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

getDefaultInstanceForType() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

getDefaultInstanceForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

getDefaultInstanceForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

getDefaultInstanceForType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupAllRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupAllResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CleanupGraphResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CloseSessionRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CloseSessionResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ClusterDef

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateSessionRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateSessionResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExecutorOpts

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStatusRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStatusResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.JobDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.JobDef

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LabeledStepStats

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ListDevicesRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ListDevicesResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LoggingRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.LoggingResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.MakeCallableRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.MakeCallableResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvBufRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvBufResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvTensorRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RecvTensorResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ResetRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ResetResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ResetResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunCallableRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunCallableResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunGraphRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunGraphResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunStepRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.RunStepResponse

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ServerDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.ServerDef

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.StepSequence.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.StepSequence

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TraceOpts

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TracingRequest

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TracingResponse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.distruntime.TracingResponse

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationDescription.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationDescription

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationRecord.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationRecord

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Arg

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Attr

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDefs.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDefs

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AssetFileDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AssetFileDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue.ListValue

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.AutoParallelOptions

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CallableOptions.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CallableOptions

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.AnyList

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.BytesList

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.FloatList

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.Int64List

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CollectionDef.NodeList

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CondContextDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CondContextDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ConfigProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ConfigProto.Experimental

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ConfigProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ControlFlowContextDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CriticalSectionDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebuggedSourceFile

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebuggedSourceFiles

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebugOptions.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebugOptions

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DebugTensorWatch

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceAttributes

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceLocality.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceLocality

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceStepStats

getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDefLibrary

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GPUOptions

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GradientDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GradientDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphOptions.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphOptions

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInput

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.HistogramProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.HistogramProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.InterconnectLink.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.InterconnectLink

getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.LocalLinks.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.LocalLinks

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogStep

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryStats.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryStats

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MetaGraphDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NameAttrList.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NameAttrList

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NamedTensorProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeExecStats.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeExecStats

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeOutput.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeOutput

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.ArgDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.AttrDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDeprecation.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDeprecation

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpList.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpList

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.OptimizerOptions

getDefaultInstanceForType() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.QueueRunnerDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ReaderBaseState

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ResourceHandleProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RewriterConfig.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RewriterConfig

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RPCOptions.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RPCOptions

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunMetadata.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunMetadata

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunOptions.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunOptions.Experimental

getDefaultInstanceForType() - Method in class org.tensorflow.framework.RunOptions

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SavedModel.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SavedModel

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SignatureDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SignatureDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.StepStats.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.StepStats

getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Audio.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Audio

getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary

getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Image.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Image

getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Value.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Value

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryDescription.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryDescription

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorConnection.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorConnection

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorDescription.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorDescription

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorInfo.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorInfo

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ValuesDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.ValuesDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariableDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariableDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariantTensorDataProto

getDefaultInstanceForType() - Method in class org.tensorflow.framework.VersionDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.VersionDef

getDefaultInstanceForType() - Method in class org.tensorflow.framework.WhileContextDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.framework.WhileContextDef

getDefaultInstanceForType() - Method in class org.tensorflow.util.BundleEntryProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.util.BundleEntryProto

getDefaultInstanceForType() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.util.BundleHeaderProto

getDefaultInstanceForType() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.util.IteratorStateMetadata

getDefaultInstanceForType() - Method in class org.tensorflow.util.SaverDef.Builder

getDefaultInstanceForType() - Method in class org.tensorflow.util.SaverDef

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

getDefaultInstanceForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

getDefaultInstanceForType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

getDefaultInstanceForType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

getDefaultInstanceForType() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

getDefaultInstanceForType() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

getDefaultInstanceForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

getDefaultInstanceForType() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

getDefaultInstanceForType() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

getDefaultSessionConfig() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The default configuration for sessions that run on this server.

getDefaultSessionConfig() - Method in class org.tensorflow.distruntime.ServerDef

The default configuration for sessions that run on this server.

getDefaultSessionConfig() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The default configuration for sessions that run on this server.

getDefaultSessionConfigBuilder() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The default configuration for sessions that run on this server.

getDefaultSessionConfigOrBuilder() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The default configuration for sessions that run on this server.

getDefaultSessionConfigOrBuilder() - Method in class org.tensorflow.distruntime.ServerDef

The default configuration for sessions that run on this server.

getDefaultSessionConfigOrBuilder() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The default configuration for sessions that run on this server.

getDefaultType() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

getDefaultType() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

getDefaultType() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

getDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Specify a new default value to use for this attr.

getDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr

Specify a new default value to use for this attr.

getDefaultValue() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder

Specify a new default value to use for this attr.

getDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A reasonable default for this attribute if the user does not supply a value.

getDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef

A reasonable default for this attribute if the user does not supply a value.

getDefaultValue() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

A reasonable default for this attribute if the user does not supply a value.

getDefaultValueBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Specify a new default value to use for this attr.

getDefaultValueBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A reasonable default for this attribute if the user does not supply a value.

getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Specify a new default value to use for this attr.

getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr

Specify a new default value to use for this attr.

getDefaultValueOrBuilder() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder

Specify a new default value to use for this attr.

getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A reasonable default for this attribute if the user does not supply a value.

getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef

A reasonable default for this attribute if the user does not supply a value.

getDefaultValueOrBuilder() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

A reasonable default for this attribute if the user does not supply a value.

getDeferred() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

True if the deallocation is queued and will be performed later, e.g.

getDeferred() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

True if the deallocation is queued and will be performed later, e.g.

getDeferred() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder

True if the deallocation is queued and will be performed later, e.g.

getDeferredDeletionBytes() - Method in class org.tensorflow.framework.GPUOptions.Builder

Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.

getDeferredDeletionBytes() - Method in class org.tensorflow.framework.GPUOptions

Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.

getDeferredDeletionBytes() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.

getDenotation() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotation() - Method in class onnx.Onnx.TensorShapeProto.Dimension

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotation() - Method in interface onnx.Onnx.TensorShapeProto.DimensionOrBuilder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotation() - Method in class onnx.Onnx.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotation() - Method in class onnx.Onnx.TypeProto

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotation() - Method in interface onnx.Onnx.TypeProtoOrBuilder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotation() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotation() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotation() - Method in interface onnx.OnnxMl.TensorShapeProto.DimensionOrBuilder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotation() - Method in class onnx.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotation() - Method in class onnx.OnnxMl.TypeProto

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotation() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotationBytes() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotationBytes() - Method in class onnx.Onnx.TensorShapeProto.Dimension

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotationBytes() - Method in interface onnx.Onnx.TensorShapeProto.DimensionOrBuilder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotationBytes() - Method in class onnx.Onnx.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotationBytes() - Method in class onnx.Onnx.TypeProto

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotationBytes() - Method in interface onnx.Onnx.TypeProtoOrBuilder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotationBytes() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotationBytes() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotationBytes() - Method in interface onnx.OnnxMl.TensorShapeProto.DimensionOrBuilder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotationBytes() - Method in class onnx.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotationBytes() - Method in class onnx.OnnxMl.TypeProto

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotationBytes() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenseShapeTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.

getDenseShapeTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.

getDenseShapeTensorName() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder

The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.

getDenseShapeTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.

getDenseShapeTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.

getDenseShapeTensorNameBytes() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder

The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.

getDependantsForEach(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

getDependantsForEach(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

getDependantsForEach(K) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

getDependantsForEach(T) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

getDependantsForGroup(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

getDependantsForGroup(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

getDependantsForGroup(K) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

getDependantsForGroup(T) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

getDependencies(T) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

Get all dependencies x, for x -> y, and (x1 or x2) -> y

getDependenciesAsCollection() - Method in class org.nd4j.autodiff.samediff.internal.DependencyList

getDependencyOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Control dependency optimizations (default is ON).

getDependencyOptimization() - Method in class org.tensorflow.framework.RewriterConfig

Control dependency optimizations (default is ON).

getDependencyOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Control dependency optimizations (default is ON).

getDependencyOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Control dependency optimizations (default is ON).

getDependencyOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig

Control dependency optimizations (default is ON).

getDependencyOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Control dependency optimizations (default is ON).

getDeprecation() - Method in class org.tensorflow.framework.OpDef.Builder

Optional deprecation based on GraphDef versions.

getDeprecation() - Method in class org.tensorflow.framework.OpDef

Optional deprecation based on GraphDef versions.

getDeprecation() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Optional deprecation based on GraphDef versions.

getDeprecationBuilder() - Method in class org.tensorflow.framework.OpDef.Builder

Optional deprecation based on GraphDef versions.

getDeprecationMessage() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

If this endpoint is deprecated, set deprecation_message to a message that should be logged when the endpoint is used.

getDeprecationMessage() - Method in class org.tensorflow.framework.ApiDef.Endpoint

If this endpoint is deprecated, set deprecation_message to a message that should be logged when the endpoint is used.

getDeprecationMessage() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder

If this endpoint is deprecated, set deprecation_message to a message that should be logged when the endpoint is used.

getDeprecationMessageBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

If this endpoint is deprecated, set deprecation_message to a message that should be logged when the endpoint is used.

getDeprecationMessageBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint

If this endpoint is deprecated, set deprecation_message to a message that should be logged when the endpoint is used.

getDeprecationMessageBytes() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder

If this endpoint is deprecated, set deprecation_message to a message that should be logged when the endpoint is used.

getDeprecationOrBuilder() - Method in class org.tensorflow.framework.OpDef.Builder

Optional deprecation based on GraphDef versions.

getDeprecationOrBuilder() - Method in class org.tensorflow.framework.OpDef

Optional deprecation based on GraphDef versions.

getDeprecationOrBuilder() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Optional deprecation based on GraphDef versions.

getDescription() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Note: this will replace any inherited arg doc.

getDescription() - Method in class org.tensorflow.framework.ApiDef.Arg

Note: this will replace any inherited arg doc.

getDescription() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder

Note: this will replace any inherited arg doc.

getDescription() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.

getDescription() - Method in class org.tensorflow.framework.ApiDef.Attr

Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.

getDescription() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder

Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.

getDescription() - Method in class org.tensorflow.framework.ApiDef.Builder

Additional, longer human-readable description of what the Op does.

getDescription() - Method in class org.tensorflow.framework.ApiDef

Additional, longer human-readable description of what the Op does.

getDescription() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

Additional, longer human-readable description of what the Op does.

getDescription() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Human readable description.

getDescription() - Method in class org.tensorflow.framework.OpDef.ArgDef

Human readable description.

getDescription() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

Human readable description.

getDescription() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

Human-readable description.

getDescription() - Method in class org.tensorflow.framework.OpDef.AttrDef

Human-readable description.

getDescription() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

Human-readable description.

getDescription() - Method in class org.tensorflow.framework.OpDef.Builder

Additional, longer human-readable description of what the Op does.

getDescription() - Method in class org.tensorflow.framework.OpDef

Additional, longer human-readable description of what the Op does.

getDescription() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Additional, longer human-readable description of what the Op does.

getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Note: this will replace any inherited arg doc.

getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Arg

Note: this will replace any inherited arg doc.

getDescriptionBytes() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder

Note: this will replace any inherited arg doc.

getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.

getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Attr

Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.

getDescriptionBytes() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder

Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.

getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Builder

Additional, longer human-readable description of what the Op does.

getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef

Additional, longer human-readable description of what the Op does.

getDescriptionBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

Additional, longer human-readable description of what the Op does.

getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Human readable description.

getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef

Human readable description.

getDescriptionBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

Human readable description.

getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

Human-readable description.

getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef

Human-readable description.

getDescriptionBytes() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

Human-readable description.

getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.Builder

Additional, longer human-readable description of what the Op does.

getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef

Additional, longer human-readable description of what the Op does.

getDescriptionBytes() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Additional, longer human-readable description of what the Op does.

getDescriptionPrefix() - Method in class org.tensorflow.framework.ApiDef.Builder

Modify an existing/inherited description by adding text to the beginning or end.

getDescriptionPrefix() - Method in class org.tensorflow.framework.ApiDef

Modify an existing/inherited description by adding text to the beginning or end.

getDescriptionPrefix() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

Modify an existing/inherited description by adding text to the beginning or end.

getDescriptionPrefixBytes() - Method in class org.tensorflow.framework.ApiDef.Builder

Modify an existing/inherited description by adding text to the beginning or end.

getDescriptionPrefixBytes() - Method in class org.tensorflow.framework.ApiDef

Modify an existing/inherited description by adding text to the beginning or end.

getDescriptionPrefixBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

Modify an existing/inherited description by adding text to the beginning or end.

getDescriptionSuffix() - Method in class org.tensorflow.framework.ApiDef.Builder

string description_suffix = 10;

getDescriptionSuffix() - Method in class org.tensorflow.framework.ApiDef

string description_suffix = 10;

getDescriptionSuffix() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

string description_suffix = 10;

getDescriptionSuffixBytes() - Method in class org.tensorflow.framework.ApiDef.Builder

string description_suffix = 10;

getDescriptionSuffixBytes() - Method in class org.tensorflow.framework.ApiDef

string description_suffix = 10;

getDescriptionSuffixBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

string description_suffix = 10;

getDescriptor() - Static method in enum onnx.Onnx.AttributeProto.AttributeType

getDescriptor() - Static method in class onnx.Onnx.AttributeProto.Builder

getDescriptor() - Static method in class onnx.Onnx.AttributeProto

getDescriptor() - Static method in class onnx.Onnx.FunctionProto.Builder

getDescriptor() - Static method in class onnx.Onnx.FunctionProto

getDescriptor() - Static method in class onnx.Onnx

getDescriptor() - Static method in class onnx.Onnx.GraphProto.Builder

getDescriptor() - Static method in class onnx.Onnx.GraphProto

getDescriptor() - Static method in class onnx.Onnx.ModelProto.Builder

getDescriptor() - Static method in class onnx.Onnx.ModelProto

getDescriptor() - Static method in class onnx.Onnx.NodeProto.Builder

getDescriptor() - Static method in class onnx.Onnx.NodeProto

getDescriptor() - Static method in class onnx.Onnx.OperatorSetIdProto.Builder

getDescriptor() - Static method in class onnx.Onnx.OperatorSetIdProto

getDescriptor() - Static method in enum onnx.Onnx.OperatorStatus

getDescriptor() - Static method in class onnx.Onnx.SparseTensorProto.Builder

getDescriptor() - Static method in class onnx.Onnx.SparseTensorProto

getDescriptor() - Static method in class onnx.Onnx.StringStringEntryProto.Builder

getDescriptor() - Static method in class onnx.Onnx.StringStringEntryProto

getDescriptor() - Static method in class onnx.Onnx.TensorAnnotation.Builder

getDescriptor() - Static method in class onnx.Onnx.TensorAnnotation

getDescriptor() - Static method in class onnx.Onnx.TensorProto.Builder

getDescriptor() - Static method in enum onnx.Onnx.TensorProto.DataLocation

getDescriptor() - Static method in enum onnx.Onnx.TensorProto.DataType

getDescriptor() - Static method in class onnx.Onnx.TensorProto

getDescriptor() - Static method in class onnx.Onnx.TensorProto.Segment.Builder

getDescriptor() - Static method in class onnx.Onnx.TensorProto.Segment

getDescriptor() - Static method in class onnx.Onnx.TensorShapeProto.Builder

getDescriptor() - Static method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

getDescriptor() - Static method in class onnx.Onnx.TensorShapeProto.Dimension

getDescriptor() - Static method in class onnx.Onnx.TensorShapeProto

getDescriptor() - Static method in class onnx.Onnx.TrainingInfoProto.Builder

getDescriptor() - Static method in class onnx.Onnx.TrainingInfoProto

getDescriptor() - Static method in class onnx.Onnx.TypeProto.Builder

getDescriptor() - Static method in class onnx.Onnx.TypeProto

getDescriptor() - Static method in class onnx.Onnx.TypeProto.Map.Builder

getDescriptor() - Static method in class onnx.Onnx.TypeProto.Map

getDescriptor() - Static method in class onnx.Onnx.TypeProto.Optional.Builder

getDescriptor() - Static method in class onnx.Onnx.TypeProto.Optional

getDescriptor() - Static method in class onnx.Onnx.TypeProto.Sequence.Builder

getDescriptor() - Static method in class onnx.Onnx.TypeProto.Sequence

getDescriptor() - Static method in class onnx.Onnx.TypeProto.SparseTensor.Builder

getDescriptor() - Static method in class onnx.Onnx.TypeProto.SparseTensor

getDescriptor() - Static method in class onnx.Onnx.TypeProto.Tensor.Builder

getDescriptor() - Static method in class onnx.Onnx.TypeProto.Tensor

getDescriptor() - Static method in class onnx.Onnx.ValueInfoProto.Builder

getDescriptor() - Static method in class onnx.Onnx.ValueInfoProto

getDescriptor() - Static method in enum onnx.Onnx.Version

getDescriptor() - Static method in enum onnx.OnnxMl.AttributeProto.AttributeType

getDescriptor() - Static method in class onnx.OnnxMl.AttributeProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.AttributeProto

getDescriptor() - Static method in class onnx.OnnxMl.FunctionProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.FunctionProto

getDescriptor() - Static method in class onnx.OnnxMl

getDescriptor() - Static method in class onnx.OnnxMl.GraphProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.GraphProto

getDescriptor() - Static method in class onnx.OnnxMl.ModelProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.ModelProto

getDescriptor() - Static method in class onnx.OnnxMl.NodeProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.NodeProto

getDescriptor() - Static method in class onnx.OnnxMl.OperatorSetIdProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.OperatorSetIdProto

getDescriptor() - Static method in enum onnx.OnnxMl.OperatorStatus

getDescriptor() - Static method in class onnx.OnnxMl.SparseTensorProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.SparseTensorProto

getDescriptor() - Static method in class onnx.OnnxMl.StringStringEntryProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.StringStringEntryProto

getDescriptor() - Static method in class onnx.OnnxMl.TensorAnnotation.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TensorAnnotation

getDescriptor() - Static method in class onnx.OnnxMl.TensorProto.Builder

getDescriptor() - Static method in enum onnx.OnnxMl.TensorProto.DataLocation

getDescriptor() - Static method in enum onnx.OnnxMl.TensorProto.DataType

getDescriptor() - Static method in class onnx.OnnxMl.TensorProto

getDescriptor() - Static method in class onnx.OnnxMl.TensorProto.Segment.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TensorProto.Segment

getDescriptor() - Static method in class onnx.OnnxMl.TensorShapeProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

getDescriptor() - Static method in class onnx.OnnxMl.TensorShapeProto

getDescriptor() - Static method in class onnx.OnnxMl.TrainingInfoProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TrainingInfoProto

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Map.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Map

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Opaque.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Opaque

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Optional.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Optional

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Sequence.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Sequence

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Tensor.Builder

getDescriptor() - Static method in class onnx.OnnxMl.TypeProto.Tensor

getDescriptor() - Static method in class onnx.OnnxMl.ValueInfoProto.Builder

getDescriptor() - Static method in class onnx.OnnxMl.ValueInfoProto

getDescriptor() - Static method in enum onnx.OnnxMl.Version

getDescriptor() - Static method in class onnx.OnnxOperators

getDescriptor() - Static method in class onnx.OnnxOperators.OperatorProto.Builder

getDescriptor() - Static method in class onnx.OnnxOperators.OperatorProto

getDescriptor() - Static method in class onnx.OnnxOperators.OperatorSetProto.Builder

getDescriptor() - Static method in class onnx.OnnxOperators.OperatorSetProto

getDescriptor() - Static method in class org.nd4j.ir.MapperNamespace

getDescriptor() - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

getDescriptor() - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

getDescriptor() - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

getDescriptor() - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

getDescriptor() - Static method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

getDescriptor() - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

getDescriptor() - Static method in enum org.nd4j.ir.MapperNamespace.OpListType

getDescriptor() - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

getDescriptor() - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

getDescriptor() - Static method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

getDescriptor() - Static method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

getDescriptor() - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

getDescriptor() - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

getDescriptor() - Static method in class org.nd4j.ir.OpNamespace

getDescriptor() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

getDescriptor() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

getDescriptor() - Static method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

getDescriptor() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

getDescriptor() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

getDescriptor() - Static method in enum org.nd4j.ir.TensorNamespace.DataType

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

getDescriptor() - Static method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

getDescriptor() - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

getDescriptor() - Method in interface org.nd4j.linalg.api.ops.CustomOp

Get the custom op descriptor if one is available.

getDescriptor() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

getDescriptor() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method returns compression descriptor.

getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupAllRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupAllResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CloseSessionRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CloseSessionResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.ClusterDef.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ClusterDef

getDescriptor() - Static method in class org.tensorflow.distruntime.ClusterProtos

getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CreateSessionRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CreateSessionResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.DistributedRuntimeProtos

getDescriptor() - Static method in class org.tensorflow.distruntime.ExecutorOpts.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ExecutorOpts

getDescriptor() - Static method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.GetStatusRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.GetStatusRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.GetStatusResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.GetStatusResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.JobDef.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.JobDef

getDescriptor() - Static method in class org.tensorflow.distruntime.LabeledStepStats.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.LabeledStepStats

getDescriptor() - Static method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ListDevicesRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ListDevicesResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.LoggingRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.LoggingRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.LoggingResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.LoggingResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.MakeCallableRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.MakeCallableResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.MasterServiceProtos

getDescriptor() - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.RecvBufRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RecvBufRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.RecvBufResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RecvBufResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RecvTensorRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RecvTensorResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.ResetRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ResetRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.ResetResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ResetResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.RunCallableRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RunCallableRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.RunCallableResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RunCallableResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.RunGraphRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RunGraphRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.RunGraphResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RunGraphResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.RunStepRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RunStepRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.RunStepResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.RunStepResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.ServerDef.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.ServerDef

getDescriptor() - Static method in class org.tensorflow.distruntime.ServerProtos

getDescriptor() - Static method in class org.tensorflow.distruntime.StepSequence.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.StepSequence

getDescriptor() - Static method in class org.tensorflow.distruntime.TraceOpts.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.TraceOpts

getDescriptor() - Static method in class org.tensorflow.distruntime.TracingRequest.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.TracingRequest

getDescriptor() - Static method in class org.tensorflow.distruntime.TracingResponse.Builder

getDescriptor() - Static method in class org.tensorflow.distruntime.TracingResponse

getDescriptor() - Static method in class org.tensorflow.distruntime.WorkerProtos

getDescriptor() - Static method in class org.tensorflow.distruntime.WorkerServiceProtos

getDescriptor() - Static method in class org.tensorflow.framework.AllocationDescription.Builder

getDescriptor() - Static method in class org.tensorflow.framework.AllocationDescription

getDescriptor() - Static method in class org.tensorflow.framework.AllocationDescriptionProtos

getDescriptor() - Static method in class org.tensorflow.framework.AllocationRecord.Builder

getDescriptor() - Static method in class org.tensorflow.framework.AllocationRecord

getDescriptor() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

getDescriptor() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Arg.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Arg

getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Attr.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Attr

getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Endpoint

getDescriptor() - Static method in class org.tensorflow.framework.ApiDef

getDescriptor() - Static method in enum org.tensorflow.framework.ApiDef.Visibility

getDescriptor() - Static method in class org.tensorflow.framework.ApiDefProtos

getDescriptor() - Static method in class org.tensorflow.framework.ApiDefs.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ApiDefs

getDescriptor() - Static method in class org.tensorflow.framework.AssetFileDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.AssetFileDef

getDescriptor() - Static method in class org.tensorflow.framework.AttrValue.Builder

getDescriptor() - Static method in class org.tensorflow.framework.AttrValue

getDescriptor() - Static method in class org.tensorflow.framework.AttrValue.ListValue.Builder

getDescriptor() - Static method in class org.tensorflow.framework.AttrValue.ListValue

getDescriptor() - Static method in class org.tensorflow.framework.AttrValueProtos

getDescriptor() - Static method in class org.tensorflow.framework.AutoParallelOptions.Builder

getDescriptor() - Static method in class org.tensorflow.framework.AutoParallelOptions

getDescriptor() - Static method in class org.tensorflow.framework.CallableOptions.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CallableOptions

getDescriptor() - Static method in enum org.tensorflow.framework.Code

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.AnyList

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.BytesList

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.FloatList

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.Int64List

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CollectionDef.NodeList

getDescriptor() - Static method in class org.tensorflow.framework.CondContextDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CondContextDef

getDescriptor() - Static method in class org.tensorflow.framework.ConfigProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ConfigProto.Experimental

getDescriptor() - Static method in class org.tensorflow.framework.ConfigProto

getDescriptor() - Static method in class org.tensorflow.framework.ConfigProtos

getDescriptor() - Static method in class org.tensorflow.framework.ControlFlowContextDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ControlFlowContextDef

getDescriptor() - Static method in class org.tensorflow.framework.ControlFlowProtos

getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef

getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node

getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

getDescriptor() - Static method in class org.tensorflow.framework.CostGraphProtos

getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionDef

getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

getDescriptor() - Static method in class org.tensorflow.framework.CriticalSectionProtos

getDescriptor() - Static method in enum org.tensorflow.framework.DataType

getDescriptor() - Static method in class org.tensorflow.framework.DebuggedSourceFile.Builder

getDescriptor() - Static method in class org.tensorflow.framework.DebuggedSourceFile

getDescriptor() - Static method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

getDescriptor() - Static method in class org.tensorflow.framework.DebuggedSourceFiles

getDescriptor() - Static method in class org.tensorflow.framework.DebugOptions.Builder

getDescriptor() - Static method in class org.tensorflow.framework.DebugOptions

getDescriptor() - Static method in class org.tensorflow.framework.DebugProtos

getDescriptor() - Static method in class org.tensorflow.framework.DebugTensorWatch.Builder

getDescriptor() - Static method in class org.tensorflow.framework.DebugTensorWatch

getDescriptor() - Static method in class org.tensorflow.framework.DeviceAttributes.Builder

getDescriptor() - Static method in class org.tensorflow.framework.DeviceAttributes

getDescriptor() - Static method in class org.tensorflow.framework.DeviceAttributesProtos

getDescriptor() - Static method in class org.tensorflow.framework.DeviceLocality.Builder

getDescriptor() - Static method in class org.tensorflow.framework.DeviceLocality

getDescriptor() - Static method in class org.tensorflow.framework.DeviceStepStats.Builder

getDescriptor() - Static method in class org.tensorflow.framework.DeviceStepStats

getDescriptor() - Static method in class org.tensorflow.framework.ErrorCodesProtos

getDescriptor() - Static method in class org.tensorflow.framework.FunctionDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.FunctionDef

getDescriptor() - Static method in class org.tensorflow.framework.FunctionDefLibrary.Builder

getDescriptor() - Static method in class org.tensorflow.framework.FunctionDefLibrary

getDescriptor() - Static method in class org.tensorflow.framework.FunctionProtos

getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Experimental

getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

getDescriptor() - Static method in class org.tensorflow.framework.GPUOptions

getDescriptor() - Static method in class org.tensorflow.framework.GradientDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GradientDef

getDescriptor() - Static method in class org.tensorflow.framework.GraphDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GraphDef

getDescriptor() - Static method in class org.tensorflow.framework.GraphOptions.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GraphOptions

getDescriptor() - Static method in class org.tensorflow.framework.GraphProtos

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.Builder

getDescriptor() - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfoProto

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInput

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

getDescriptor() - Static method in class org.tensorflow.framework.HistogramProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.HistogramProto

getDescriptor() - Static method in class org.tensorflow.framework.InterconnectLink.Builder

getDescriptor() - Static method in class org.tensorflow.framework.InterconnectLink

getDescriptor() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

getDescriptor() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

getDescriptor() - Static method in class org.tensorflow.framework.KernelDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.KernelDef

getDescriptor() - Static method in class org.tensorflow.framework.KernelDefProtos

getDescriptor() - Static method in class org.tensorflow.framework.LocalLinks.Builder

getDescriptor() - Static method in class org.tensorflow.framework.LocalLinks

getDescriptor() - Static method in class org.tensorflow.framework.LogMemoryProtos

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogStep.Builder

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogStep

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

getDescriptor() - Static method in class org.tensorflow.framework.MemoryStats.Builder

getDescriptor() - Static method in class org.tensorflow.framework.MemoryStats

getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphDef

getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

getDescriptor() - Static method in class org.tensorflow.framework.MetaGraphProtos

getDescriptor() - Static method in class org.tensorflow.framework.NameAttrList.Builder

getDescriptor() - Static method in class org.tensorflow.framework.NameAttrList

getDescriptor() - Static method in class org.tensorflow.framework.NamedTensorProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.NamedTensorProto

getDescriptor() - Static method in class org.tensorflow.framework.NamedTensorProtos

getDescriptor() - Static method in class org.tensorflow.framework.NodeDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.NodeDef

getDescriptor() - Static method in class org.tensorflow.framework.NodeExecStats.Builder

getDescriptor() - Static method in class org.tensorflow.framework.NodeExecStats

getDescriptor() - Static method in class org.tensorflow.framework.NodeOutput.Builder

getDescriptor() - Static method in class org.tensorflow.framework.NodeOutput

getDescriptor() - Static method in class org.tensorflow.framework.NodeProto

getDescriptor() - Static method in class org.tensorflow.framework.OpDef.ArgDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.OpDef.ArgDef

getDescriptor() - Static method in class org.tensorflow.framework.OpDef.AttrDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.OpDef.AttrDef

getDescriptor() - Static method in class org.tensorflow.framework.OpDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.OpDef

getDescriptor() - Static method in class org.tensorflow.framework.OpDefProtos

getDescriptor() - Static method in class org.tensorflow.framework.OpDeprecation.Builder

getDescriptor() - Static method in class org.tensorflow.framework.OpDeprecation

getDescriptor() - Static method in class org.tensorflow.framework.OpList.Builder

getDescriptor() - Static method in class org.tensorflow.framework.OpList

getDescriptor() - Static method in class org.tensorflow.framework.OptimizerOptions.Builder

getDescriptor() - Static method in class org.tensorflow.framework.OptimizerOptions

getDescriptor() - Static method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

getDescriptor() - Static method in enum org.tensorflow.framework.OptimizerOptions.Level

getDescriptor() - Static method in class org.tensorflow.framework.QueueRunnerDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.QueueRunnerDef

getDescriptor() - Static method in class org.tensorflow.framework.QueueRunnerProtos

getDescriptor() - Static method in class org.tensorflow.framework.ReaderBaseProtos

getDescriptor() - Static method in class org.tensorflow.framework.ReaderBaseState.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ReaderBaseState

getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto

getDescriptor() - Static method in class org.tensorflow.framework.ResourceHandle

getDescriptor() - Static method in class org.tensorflow.framework.ResourceHandleProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ResourceHandleProto

getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfig.Builder

getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfig

getDescriptor() - Static method in enum org.tensorflow.framework.RewriterConfig.MemOptType

getDescriptor() - Static method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

getDescriptor() - Static method in enum org.tensorflow.framework.RewriterConfig.Toggle

getDescriptor() - Static method in class org.tensorflow.framework.RewriterConfigProtos

getDescriptor() - Static method in class org.tensorflow.framework.RPCOptions.Builder

getDescriptor() - Static method in class org.tensorflow.framework.RPCOptions

getDescriptor() - Static method in class org.tensorflow.framework.RunMetadata.Builder

getDescriptor() - Static method in class org.tensorflow.framework.RunMetadata

getDescriptor() - Static method in class org.tensorflow.framework.RunOptions.Builder

getDescriptor() - Static method in class org.tensorflow.framework.RunOptions.Experimental.Builder

getDescriptor() - Static method in class org.tensorflow.framework.RunOptions.Experimental

getDescriptor() - Static method in class org.tensorflow.framework.RunOptions

getDescriptor() - Static method in enum org.tensorflow.framework.RunOptions.TraceLevel

getDescriptor() - Static method in class org.tensorflow.framework.SavedModel.Builder

getDescriptor() - Static method in class org.tensorflow.framework.SavedModel

getDescriptor() - Static method in class org.tensorflow.framework.SavedModelProtos

getDescriptor() - Static method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.SaveSliceInfoDef

getDescriptor() - Static method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

getDescriptor() - Static method in class org.tensorflow.framework.SignatureDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.SignatureDef

getDescriptor() - Static method in class org.tensorflow.framework.StepStats.Builder

getDescriptor() - Static method in class org.tensorflow.framework.StepStats

getDescriptor() - Static method in class org.tensorflow.framework.StepStatsProtos

getDescriptor() - Static method in class org.tensorflow.framework.Summary.Audio.Builder

getDescriptor() - Static method in class org.tensorflow.framework.Summary.Audio

getDescriptor() - Static method in class org.tensorflow.framework.Summary.Builder

getDescriptor() - Static method in class org.tensorflow.framework.Summary

getDescriptor() - Static method in class org.tensorflow.framework.Summary.Image.Builder

getDescriptor() - Static method in class org.tensorflow.framework.Summary.Image

getDescriptor() - Static method in class org.tensorflow.framework.Summary.Value.Builder

getDescriptor() - Static method in class org.tensorflow.framework.Summary.Value

getDescriptor() - Static method in class org.tensorflow.framework.SummaryDescription.Builder

getDescriptor() - Static method in class org.tensorflow.framework.SummaryDescription

getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata.Builder

getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata

getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

getDescriptor() - Static method in class org.tensorflow.framework.SummaryProtos

getDescriptor() - Static method in class org.tensorflow.framework.TensorConnection.Builder

getDescriptor() - Static method in class org.tensorflow.framework.TensorConnection

getDescriptor() - Static method in class org.tensorflow.framework.TensorDescription.Builder

getDescriptor() - Static method in class org.tensorflow.framework.TensorDescription

getDescriptor() - Static method in class org.tensorflow.framework.TensorDescriptionProtos

getDescriptor() - Static method in class org.tensorflow.framework.TensorInfo.Builder

getDescriptor() - Static method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

getDescriptor() - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

getDescriptor() - Static method in class org.tensorflow.framework.TensorInfo

getDescriptor() - Static method in class org.tensorflow.framework.TensorProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.TensorProto

getDescriptor() - Static method in class org.tensorflow.framework.TensorProtos

getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto

getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProtos

getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto

getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProtos

getDescriptor() - Static method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

getDescriptor() - Static method in class org.tensorflow.framework.TypesProtos

getDescriptor() - Static method in class org.tensorflow.framework.ValuesDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.ValuesDef

getDescriptor() - Static method in class org.tensorflow.framework.VariableDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.VariableDef

getDescriptor() - Static method in class org.tensorflow.framework.VariableProtos

getDescriptor() - Static method in class org.tensorflow.framework.VariantTensorDataProto.Builder

getDescriptor() - Static method in class org.tensorflow.framework.VariantTensorDataProto

getDescriptor() - Static method in class org.tensorflow.framework.VersionDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.VersionDef

getDescriptor() - Static method in class org.tensorflow.framework.VersionsProtos

getDescriptor() - Static method in class org.tensorflow.framework.WhileContextDef.Builder

getDescriptor() - Static method in class org.tensorflow.framework.WhileContextDef

getDescriptor() - Static method in class org.tensorflow.util.BundleEntryProto.Builder

getDescriptor() - Static method in class org.tensorflow.util.BundleEntryProto

getDescriptor() - Static method in class org.tensorflow.util.BundleHeaderProto.Builder

getDescriptor() - Static method in enum org.tensorflow.util.BundleHeaderProto.Endianness

getDescriptor() - Static method in class org.tensorflow.util.BundleHeaderProto

getDescriptor() - Static method in class org.tensorflow.util.IteratorProtos

getDescriptor() - Static method in class org.tensorflow.util.IteratorStateMetadata.Builder

getDescriptor() - Static method in class org.tensorflow.util.IteratorStateMetadata

getDescriptor() - Static method in class org.tensorflow.util.SaverDef.Builder

getDescriptor() - Static method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

getDescriptor() - Static method in class org.tensorflow.util.SaverDef

getDescriptor() - Static method in class org.tensorflow.util.SaverProtos

getDescriptor() - Static method in class org.tensorflow.util.TensorBundleProtos

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

getDescriptor() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass

getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos

getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

getDescriptor() - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

getDescriptor() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

getDescriptor() - Static method in class tensorflow.TransportOptions

getDescriptor() - Static method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

getDescriptor() - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

getDescriptorForType() - Method in enum onnx.Onnx.AttributeProto.AttributeType

getDescriptorForType() - Method in class onnx.Onnx.AttributeProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.FunctionProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.GraphProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.ModelProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.NodeProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

getDescriptorForType() - Method in enum onnx.Onnx.OperatorStatus

getDescriptorForType() - Method in class onnx.Onnx.SparseTensorProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.StringStringEntryProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.TensorAnnotation.Builder

getDescriptorForType() - Method in class onnx.Onnx.TensorProto.Builder

getDescriptorForType() - Method in enum onnx.Onnx.TensorProto.DataLocation

getDescriptorForType() - Method in enum onnx.Onnx.TensorProto.DataType

getDescriptorForType() - Method in class onnx.Onnx.TensorProto.Segment.Builder

getDescriptorForType() - Method in class onnx.Onnx.TensorShapeProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

getDescriptorForType() - Method in class onnx.Onnx.TrainingInfoProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.TypeProto.Builder

getDescriptorForType() - Method in class onnx.Onnx.TypeProto.Map.Builder

getDescriptorForType() - Method in class onnx.Onnx.TypeProto.Optional.Builder

getDescriptorForType() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

getDescriptorForType() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

getDescriptorForType() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

getDescriptorForType() - Method in class onnx.Onnx.ValueInfoProto.Builder

getDescriptorForType() - Method in enum onnx.Onnx.Version

getDescriptorForType() - Method in enum onnx.OnnxMl.AttributeProto.AttributeType

getDescriptorForType() - Method in class onnx.OnnxMl.AttributeProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.FunctionProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.GraphProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.ModelProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.NodeProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

getDescriptorForType() - Method in enum onnx.OnnxMl.OperatorStatus

getDescriptorForType() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TensorProto.Builder

getDescriptorForType() - Method in enum onnx.OnnxMl.TensorProto.DataLocation

getDescriptorForType() - Method in enum onnx.OnnxMl.TensorProto.DataType

getDescriptorForType() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TypeProto.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

getDescriptorForType() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

getDescriptorForType() - Method in enum onnx.OnnxMl.Version

getDescriptorForType() - Method in class onnx.OnnxOperators.OperatorProto.Builder

getDescriptorForType() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

getDescriptorForType() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

getDescriptorForType() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

getDescriptorForType() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

getDescriptorForType() - Method in enum org.nd4j.ir.MapperNamespace.OpListType

getDescriptorForType() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

getDescriptorForType() - Method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

getDescriptorForType() - Method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

getDescriptorForType() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

getDescriptorForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

getDescriptorForType() - Method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

getDescriptorForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

getDescriptorForType() - Method in enum org.nd4j.ir.TensorNamespace.DataType

getDescriptorForType() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

getDescriptorForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

getDescriptorForType() - Method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

getDescriptorForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

getDescriptorForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

getDescriptorForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

getDescriptorForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

getDescriptorForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

getDescriptorForType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.JobDef.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ResetResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.ServerDef.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.StepSequence.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

getDescriptorForType() - Method in class org.tensorflow.distruntime.TracingResponse.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.AllocationDescription.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.AllocationRecord.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

getDescriptorForType() - Method in enum org.tensorflow.framework.ApiDef.Visibility

getDescriptorForType() - Method in class org.tensorflow.framework.ApiDefs.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.AssetFileDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.AttrValue.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CallableOptions.Builder

getDescriptorForType() - Method in enum org.tensorflow.framework.Code

getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CondContextDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ConfigProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

getDescriptorForType() - Method in enum org.tensorflow.framework.DataType

getDescriptorForType() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.DebugOptions.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.DeviceLocality.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.FunctionDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GPUOptions.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GradientDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GraphDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GraphOptions.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

getDescriptorForType() - Method in enum org.tensorflow.framework.GraphTransferInfo.Destination

getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.HistogramProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.InterconnectLink.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.KernelDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.LocalLinks.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.MemoryStats.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.NameAttrList.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.NodeDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.NodeExecStats.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.NodeOutput.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.OpDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.OpDeprecation.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.OpList.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

getDescriptorForType() - Method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

getDescriptorForType() - Method in enum org.tensorflow.framework.OptimizerOptions.Level

getDescriptorForType() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.RewriterConfig.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

getDescriptorForType() - Method in enum org.tensorflow.framework.RewriterConfig.MemOptType

getDescriptorForType() - Method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

getDescriptorForType() - Method in enum org.tensorflow.framework.RewriterConfig.Toggle

getDescriptorForType() - Method in class org.tensorflow.framework.RPCOptions.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.RunMetadata.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.RunOptions.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

getDescriptorForType() - Method in enum org.tensorflow.framework.RunOptions.TraceLevel

getDescriptorForType() - Method in class org.tensorflow.framework.SavedModel.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.SignatureDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.StepStats.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Audio.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Image.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Value.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.SummaryDescription.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.TensorConnection.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.TensorDescription.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.TensorInfo.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.TensorProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.ValuesDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.VariableDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.VersionDef.Builder

getDescriptorForType() - Method in class org.tensorflow.framework.WhileContextDef.Builder

getDescriptorForType() - Method in class org.tensorflow.util.BundleEntryProto.Builder

getDescriptorForType() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

getDescriptorForType() - Method in enum org.tensorflow.util.BundleHeaderProto.Endianness

getDescriptorForType() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

getDescriptorForType() - Method in class org.tensorflow.util.SaverDef.Builder

getDescriptorForType() - Method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

getDescriptorForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

getDescriptorForType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

getDescriptorForType() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

getDescriptorForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

getDescriptorForType() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

getDeserializedType() - Method in class org.nd4j.serde.json.BaseLegacyDeserializer

getDeserializedType() - Method in class org.nd4j.serde.json.LegacyIActivationDeserializer

getDeserializedType() - Method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer

getDestination() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Destination of graph transfer

getDestination() - Method in class org.tensorflow.framework.GraphTransferInfo

Destination of graph transfer

getDestination() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

Destination of graph transfer

getDestinationValue() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Destination of graph transfer

getDestinationValue() - Method in class org.tensorflow.framework.GraphTransferInfo

Destination of graph transfer

getDestinationValue() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

Destination of graph transfer

getDeviancePart(double, double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion

A part of the deviance portion of the saddle point approximation.

getDevice() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device = 10;

getDevice() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

string device = 10;

getDevice() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

string device = 10;

getDevice() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The device of the node.

getDevice() - Method in class org.tensorflow.framework.CostGraphDef.Node

The device of the node.

getDevice() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

The device of the node.

getDevice() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

string device = 1;

getDevice() - Method in class org.tensorflow.framework.DeviceStepStats

string device = 1;

getDevice() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder

string device = 1;

getDevice() - Method in class org.tensorflow.framework.NodeDef.Builder

A (possibly partial) specification for the device on which this node should be placed.

getDevice() - Method in class org.tensorflow.framework.NodeDef

A (possibly partial) specification for the device on which this node should be placed.

getDevice() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

A (possibly partial) specification for the device on which this node should be placed.

getDevice() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name for the device containing the resource.

getDevice() - Method in class org.tensorflow.framework.ResourceHandleProto

Unique name for the device containing the resource.

getDevice() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder

Unique name for the device containing the resource.

getDevice() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string device = 6;

getDevice() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

string device = 6;

getDevice() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

string device = 6;

getDeviceAttributes(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributes(int) - Method in class org.tensorflow.distruntime.GetStatusResponse

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributes(int) - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributes(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

getDeviceAttributes(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

List of devices that are locally accessible to the worker.

getDeviceAttributes(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder

List of devices that are locally accessible to the worker.

getDeviceAttributesBuilder(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

getDeviceAttributesBuilderList() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

getDeviceAttributesCount() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesCount() - Method in class org.tensorflow.distruntime.GetStatusResponse

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesCount() - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesCount() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

getDeviceAttributesCount() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

List of devices that are locally accessible to the worker.

getDeviceAttributesCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder

List of devices that are locally accessible to the worker.

getDeviceAttributesList() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesList() - Method in class org.tensorflow.distruntime.GetStatusResponse

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesList() - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

getDeviceAttributesList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

List of devices that are locally accessible to the worker.

getDeviceAttributesList() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder

List of devices that are locally accessible to the worker.

getDeviceAttributesOrBuilder(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesOrBuilder(int) - Method in class org.tensorflow.distruntime.GetStatusResponse

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesOrBuilder(int) - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

getDeviceAttributesOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

List of devices that are locally accessible to the worker.

getDeviceAttributesOrBuilder(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder

List of devices that are locally accessible to the worker.

getDeviceAttributesOrBuilderList() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesOrBuilderList() - Method in class org.tensorflow.distruntime.GetStatusResponse

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesOrBuilderList() - Method in interface org.tensorflow.distruntime.GetStatusResponseOrBuilder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

getDeviceAttributesOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

getDeviceAttributesOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

List of devices that are locally accessible to the worker.

getDeviceAttributesOrBuilderList() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder

List of devices that are locally accessible to the worker.

getDeviceBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device = 10;

getDeviceBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

string device = 10;

getDeviceBytes() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

string device = 10;

getDeviceBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The device of the node.

getDeviceBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node

The device of the node.

getDeviceBytes() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

The device of the node.

getDeviceBytes() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

string device = 1;

getDeviceBytes() - Method in class org.tensorflow.framework.DeviceStepStats

string device = 1;

getDeviceBytes() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder

string device = 1;

getDeviceBytes() - Method in class org.tensorflow.framework.NodeDef.Builder

A (possibly partial) specification for the device on which this node should be placed.

getDeviceBytes() - Method in class org.tensorflow.framework.NodeDef

A (possibly partial) specification for the device on which this node should be placed.

getDeviceBytes() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

A (possibly partial) specification for the device on which this node should be placed.

getDeviceBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name for the device containing the resource.

getDeviceBytes() - Method in class org.tensorflow.framework.ResourceHandleProto

Unique name for the device containing the resource.

getDeviceBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder

Unique name for the device containing the resource.

getDeviceBytes() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string device = 6;

getDeviceBytes() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

string device = 6;

getDeviceBytes() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

string device = 6;

getDeviceCouner(int) - Method in interface org.nd4j.linalg.factory.Environment

This method returns current allocated amount for a specific device.

getDeviceCount() - Method in class org.tensorflow.framework.ConfigProto.Builder

Deprecated.

getDeviceCount() - Method in class org.tensorflow.framework.ConfigProto

Deprecated.

getDeviceCount() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Deprecated.

getDeviceCountCount() - Method in class org.tensorflow.framework.ConfigProto.Builder

getDeviceCountCount() - Method in class org.tensorflow.framework.ConfigProto

getDeviceCountCount() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceCountMap() - Method in class org.tensorflow.framework.ConfigProto.Builder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceCountMap() - Method in class org.tensorflow.framework.ConfigProto

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceCountMap() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceCountOrDefault(String, int) - Method in class org.tensorflow.framework.ConfigProto.Builder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceCountOrDefault(String, int) - Method in class org.tensorflow.framework.ConfigProto

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceCountOrDefault(String, int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceCountOrThrow(String) - Method in class org.tensorflow.framework.ConfigProto.Builder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceCountOrThrow(String) - Method in class org.tensorflow.framework.ConfigProto

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceCountOrThrow(String) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

getDeviceFilters(int) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

When any filters are present, only devices that match the filters will be reset.

getDeviceFilters(int) - Method in class org.tensorflow.distruntime.ResetRequest

When any filters are present, only devices that match the filters will be reset.

getDeviceFilters(int) - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder

When any filters are present, only devices that match the filters will be reset.

getDeviceFilters(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFilters(int) - Method in class org.tensorflow.framework.ConfigProto

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFilters(int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFiltersBytes(int) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

When any filters are present, only devices that match the filters will be reset.

getDeviceFiltersBytes(int) - Method in class org.tensorflow.distruntime.ResetRequest

When any filters are present, only devices that match the filters will be reset.

getDeviceFiltersBytes(int) - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder

When any filters are present, only devices that match the filters will be reset.

getDeviceFiltersBytes(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFiltersBytes(int) - Method in class org.tensorflow.framework.ConfigProto

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFiltersBytes(int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFiltersCount() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

When any filters are present, only devices that match the filters will be reset.

getDeviceFiltersCount() - Method in class org.tensorflow.distruntime.ResetRequest

When any filters are present, only devices that match the filters will be reset.

getDeviceFiltersCount() - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder

When any filters are present, only devices that match the filters will be reset.

getDeviceFiltersCount() - Method in class org.tensorflow.framework.ConfigProto.Builder

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFiltersCount() - Method in class org.tensorflow.framework.ConfigProto

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFiltersCount() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFiltersList() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

When any filters are present, only devices that match the filters will be reset.

getDeviceFiltersList() - Method in class org.tensorflow.distruntime.ResetRequest

When any filters are present, only devices that match the filters will be reset.

getDeviceFiltersList() - Method in interface org.tensorflow.distruntime.ResetRequestOrBuilder

When any filters are present, only devices that match the filters will be reset.

getDeviceFiltersList() - Method in class org.tensorflow.framework.ConfigProto.Builder

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFiltersList() - Method in class org.tensorflow.framework.ConfigProto

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceFiltersList() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

When any filters are present sessions will ignore all devices which do not match the filters.

getDeviceForArray(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns id of current device for a given INDArray

getDeviceForArray(INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

getDeviceForCurrentThread() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns deviceId for current thread

getDeviceForCurrentThread() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

getDeviceForThread(long) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns deviceId for a given thread

getDeviceForThread(long) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

getDeviceId() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

getDeviceId() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

Returns deviceId for this workspace

getDeviceId() - Method in class org.tensorflow.framework.InterconnectLink.Builder

int32 device_id = 1;

getDeviceId() - Method in class org.tensorflow.framework.InterconnectLink

int32 device_id = 1;

getDeviceId() - Method in interface org.tensorflow.framework.InterconnectLinkOrBuilder

int32 device_id = 1;

getDeviceLimit(int) - Method in interface org.nd4j.linalg.factory.Environment

This method returns current device limit

getDeviceName(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

repeated string device_name = 4;

getDeviceName(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest

repeated string device_name = 4;

getDeviceName(int) - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder

repeated string device_name = 4;

getDeviceName(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

repeated string device_name = 5;

getDeviceName(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse

repeated string device_name = 5;

getDeviceName(int) - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

repeated string device_name = 5;

getDeviceNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

repeated string device_name = 4;

getDeviceNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest

repeated string device_name = 4;

getDeviceNameBytes(int) - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder

repeated string device_name = 4;

getDeviceNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

repeated string device_name = 5;

getDeviceNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse

repeated string device_name = 5;

getDeviceNameBytes(int) - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

repeated string device_name = 5;

getDeviceNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

repeated string device_name = 4;

getDeviceNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

repeated string device_name = 4;

getDeviceNameCount() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder

repeated string device_name = 4;

getDeviceNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

repeated string device_name = 5;

getDeviceNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

repeated string device_name = 5;

getDeviceNameCount() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

repeated string device_name = 5;

getDeviceNameList() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

repeated string device_name = 4;

getDeviceNameList() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

repeated string device_name = 4;

getDeviceNameList() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder

repeated string device_name = 4;

getDeviceNameList() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

repeated string device_name = 5;

getDeviceNameList() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

repeated string device_name = 5;

getDeviceNameList() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

repeated string device_name = 5;

getDeviceOffset() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns current device memory offset within workspace

getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Deprecated.

tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52

getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node

Deprecated.

tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52

getDevicePersistentMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Deprecated.

tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52

getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=47

getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats

Deprecated.

tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=47

getDevicePersistentMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

Deprecated.

tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=47

getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

getDevicePersistentTensorAllocIds(int) - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

getDevicePersistentTensorAllocIdsCount() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

getDevicePersistentTensorAllocIdsList() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

getDeviceTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Deprecated.

tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=51

getDeviceTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node

Deprecated.

tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=51

getDeviceTempMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Deprecated.

tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=51

getDeviceTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=46

getDeviceTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats

Deprecated.

tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=46

getDeviceTempMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

Deprecated.

tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=46

getDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

string device_type = 3;

getDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

string device_type = 3;

getDeviceType() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder

string device_type = 3;

getDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

string device_type = 3;

getDeviceType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

string device_type = 3;

getDeviceType() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

string device_type = 3;

getDeviceType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device_type = 8;

getDeviceType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

string device_type = 8;

getDeviceType() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

string device_type = 8;

getDeviceType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of device_type.

getDeviceType() - Method in class org.tensorflow.framework.DeviceAttributes

String representation of device_type.

getDeviceType() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

String representation of device_type.

getDeviceType() - Method in class org.tensorflow.framework.KernelDef.Builder

Type of device this kernel runs on.

getDeviceType() - Method in class org.tensorflow.framework.KernelDef

Type of device this kernel runs on.

getDeviceType() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

Type of device this kernel runs on.

getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

string device_type = 3;

getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

string device_type = 3;

getDeviceTypeBytes() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder

string device_type = 3;

getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

string device_type = 3;

getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

string device_type = 3;

getDeviceTypeBytes() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

string device_type = 3;

getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device_type = 8;

getDeviceTypeBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

string device_type = 8;

getDeviceTypeBytes() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

string device_type = 8;

getDeviceTypeBytes() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of device_type.

getDeviceTypeBytes() - Method in class org.tensorflow.framework.DeviceAttributes

String representation of device_type.

getDeviceTypeBytes() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

String representation of device_type.

getDeviceTypeBytes() - Method in class org.tensorflow.framework.KernelDef.Builder

Type of device this kernel runs on.

getDeviceTypeBytes() - Method in class org.tensorflow.framework.KernelDef

Type of device this kernel runs on.

getDeviceTypeBytes() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

Type of device this kernel runs on.

getDevStats(int) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStats(int) - Method in class org.tensorflow.framework.StepStats

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStats(int) - Method in interface org.tensorflow.framework.StepStatsOrBuilder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsBuilder(int) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsBuilderList() - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsCount() - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsCount() - Method in class org.tensorflow.framework.StepStats

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsCount() - Method in interface org.tensorflow.framework.StepStatsOrBuilder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsList() - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsList() - Method in class org.tensorflow.framework.StepStats

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsList() - Method in interface org.tensorflow.framework.StepStatsOrBuilder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsOrBuilder(int) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsOrBuilder(int) - Method in class org.tensorflow.framework.StepStats

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsOrBuilder(int) - Method in interface org.tensorflow.framework.StepStatsOrBuilder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsOrBuilderList() - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsOrBuilderList() - Method in class org.tensorflow.framework.StepStats

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDevStatsOrBuilderList() - Method in interface org.tensorflow.framework.StepStatsOrBuilder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

getDim(int) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in class onnx.Onnx.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in interface onnx.Onnx.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in class onnx.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in interface onnx.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDim(int) - Method in class org.tensorflow.framework.TensorShapeProto

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDim(int) - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimBuilder(int) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimBuilder(int) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimBuilder(int) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimBuilderList() - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimBuilderList() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimBuilderList() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimBuilderList() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimCount() - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in class onnx.Onnx.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in interface onnx.Onnx.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in class onnx.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in interface onnx.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimCount() - Method in class org.tensorflow.framework.TensorShapeProto

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimCount() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimension() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

getDimension() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp

getDimension() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

getDimension() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

getDimension() - Method in interface org.nd4j.linalg.api.ops.BroadcastOp

Dimension to do the vector op along.

getDimension() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

getDimension() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

getDimension() - Method in interface org.nd4j.linalg.api.ops.ScalarOp

getDimension(INDArray, boolean) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Get the dimension associated with the given ordering.

getDimList() - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in class onnx.Onnx.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in interface onnx.Onnx.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in class onnx.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in interface onnx.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimList() - Method in class org.tensorflow.framework.TensorShapeProto

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimList() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimOrBuilder(int) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in class onnx.Onnx.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in interface onnx.Onnx.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in class onnx.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in interface onnx.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimOrBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimOrBuilder(int) - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimOrBuilderList() - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in class onnx.Onnx.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in interface onnx.Onnx.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in class onnx.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in interface onnx.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimOrBuilderList() - Method in class org.tensorflow.framework.TensorShapeProto

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimOrBuilderList() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

getDimParam() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

namespace Shape

getDimParam() - Method in class onnx.Onnx.TensorShapeProto.Dimension

namespace Shape

getDimParam() - Method in interface onnx.Onnx.TensorShapeProto.DimensionOrBuilder

namespace Shape

getDimParam() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

getDimParam() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

namespace Shape

getDimParam() - Method in interface onnx.OnnxMl.TensorShapeProto.DimensionOrBuilder

namespace Shape

getDimParam() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

namespace Shape

getDimParam() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

namespace Shape

getDimParam() - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder

namespace Shape

getDimParamBytes() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

namespace Shape

getDimParamBytes() - Method in class onnx.Onnx.TensorShapeProto.Dimension

namespace Shape

getDimParamBytes() - Method in interface onnx.Onnx.TensorShapeProto.DimensionOrBuilder

namespace Shape

getDimParamBytes() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

getDimParamBytes() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

namespace Shape

getDimParamBytes() - Method in interface onnx.OnnxMl.TensorShapeProto.DimensionOrBuilder

namespace Shape

getDimParamBytes() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

namespace Shape

getDimParamBytes() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

namespace Shape

getDimParamBytes() - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder

namespace Shape

getDims(int) - Method in class onnx.Onnx.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDims(int) - Method in class onnx.Onnx.SparseTensorProto

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDims(int) - Method in interface onnx.Onnx.SparseTensorProtoOrBuilder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDims(int) - Method in class onnx.Onnx.TensorProto.Builder

The shape of the tensor.

getDims(int) - Method in class onnx.Onnx.TensorProto

The shape of the tensor.

getDims(int) - Method in interface onnx.Onnx.TensorProtoOrBuilder

The shape of the tensor.

getDims(int) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDims(int) - Method in class onnx.OnnxMl.SparseTensorProto

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDims(int) - Method in interface onnx.OnnxMl.SparseTensorProtoOrBuilder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDims(int) - Method in class onnx.OnnxMl.TensorProto.Builder

The shape of the tensor.

getDims(int) - Method in class onnx.OnnxMl.TensorProto

The shape of the tensor.

getDims(int) - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

The shape of the tensor.

getDims(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The shape of the tensor.

getDims(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

The shape of the tensor.

getDims(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

The shape of the tensor.

getDimsCount() - Method in class onnx.Onnx.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsCount() - Method in class onnx.Onnx.SparseTensorProto

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsCount() - Method in interface onnx.Onnx.SparseTensorProtoOrBuilder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsCount() - Method in class onnx.Onnx.TensorProto.Builder

The shape of the tensor.

getDimsCount() - Method in class onnx.Onnx.TensorProto

The shape of the tensor.

getDimsCount() - Method in interface onnx.Onnx.TensorProtoOrBuilder

The shape of the tensor.

getDimsCount() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsCount() - Method in class onnx.OnnxMl.SparseTensorProto

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsCount() - Method in interface onnx.OnnxMl.SparseTensorProtoOrBuilder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsCount() - Method in class onnx.OnnxMl.TensorProto.Builder

The shape of the tensor.

getDimsCount() - Method in class onnx.OnnxMl.TensorProto

The shape of the tensor.

getDimsCount() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

The shape of the tensor.

getDimsCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The shape of the tensor.

getDimsCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

The shape of the tensor.

getDimsCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

The shape of the tensor.

getDimsList() - Method in class onnx.Onnx.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsList() - Method in class onnx.Onnx.SparseTensorProto

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsList() - Method in interface onnx.Onnx.SparseTensorProtoOrBuilder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsList() - Method in class onnx.Onnx.TensorProto.Builder

The shape of the tensor.

getDimsList() - Method in class onnx.Onnx.TensorProto

The shape of the tensor.

getDimsList() - Method in interface onnx.Onnx.TensorProtoOrBuilder

The shape of the tensor.

getDimsList() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsList() - Method in class onnx.OnnxMl.SparseTensorProto

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsList() - Method in interface onnx.OnnxMl.SparseTensorProtoOrBuilder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsList() - Method in class onnx.OnnxMl.TensorProto.Builder

The shape of the tensor.

getDimsList() - Method in class onnx.OnnxMl.TensorProto

The shape of the tensor.

getDimsList() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

The shape of the tensor.

getDimsList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The shape of the tensor.

getDimsList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

The shape of the tensor.

getDimsList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

The shape of the tensor.

getDimValue() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

getDimValue() - Method in class onnx.Onnx.TensorShapeProto.Dimension

int64 dim_value = 1;

getDimValue() - Method in interface onnx.Onnx.TensorShapeProto.DimensionOrBuilder

int64 dim_value = 1;

getDimValue() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

getDimValue() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

int64 dim_value = 1;

getDimValue() - Method in interface onnx.OnnxMl.TensorShapeProto.DimensionOrBuilder

int64 dim_value = 1;

getDimValue() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

getDimValue() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

int64 dim_value = 1;

getDimValue() - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder

int64 dim_value = 1;

getDisableModelPruning() - Method in class org.tensorflow.framework.RewriterConfig.Builder

If true, don't remove unnecessary ops from the graph

getDisableModelPruning() - Method in class org.tensorflow.framework.RewriterConfig

If true, don't remove unnecessary ops from the graph

getDisableModelPruning() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

If true, don't remove unnecessary ops from the graph

getDisableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

If true, RPC logging will be disabled.

getDisableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest

If true, RPC logging will be disabled.

getDisableRpcLogging() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder

If true, RPC logging will be disabled.

getDisplayName() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Display name for viewing in TensorBoard.

getDisplayName() - Method in class org.tensorflow.framework.SummaryMetadata

Display name for viewing in TensorBoard.

getDisplayName() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder

Display name for viewing in TensorBoard.

getDisplayNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Display name for viewing in TensorBoard.

getDisplayNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata

Display name for viewing in TensorBoard.

getDisplayNameBytes() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder

Display name for viewing in TensorBoard.

getDistributions() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the primary distributions factory

getDmaOk() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

If true, use an out-of-band DMA mechanism to transfer the received tensor.

getDmaOk() - Method in class org.tensorflow.distruntime.RecvTensorRequest

If true, use an out-of-band DMA mechanism to transfer the received tensor.

getDmaOk() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

If true, use an out-of-band DMA mechanism to transfer the received tensor.

getDoCommonSubexpressionElimination() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

If true, optimize the graph using common subexpression elimination.

getDoCommonSubexpressionElimination() - Method in class org.tensorflow.framework.OptimizerOptions

If true, optimize the graph using common subexpression elimination.

getDoCommonSubexpressionElimination() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder

If true, optimize the graph using common subexpression elimination.

getDoConstantFolding() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

If true, perform constant folding optimization on the graph.

getDoConstantFolding() - Method in class org.tensorflow.framework.OptimizerOptions

If true, perform constant folding optimization on the graph.

getDoConstantFolding() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder

If true, perform constant folding optimization on the graph.

getDocString() - Method in class onnx.Onnx.AttributeProto.Builder

A human-readable documentation for this attribute.

getDocString() - Method in class onnx.Onnx.AttributeProto

A human-readable documentation for this attribute.

getDocString() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

A human-readable documentation for this attribute.

getDocString() - Method in class onnx.Onnx.FunctionProto.Builder

A human-readable documentation for this function.

getDocString() - Method in class onnx.Onnx.FunctionProto

A human-readable documentation for this function.

getDocString() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

A human-readable documentation for this function.

getDocString() - Method in class onnx.Onnx.GraphProto.Builder

A human-readable documentation for this graph.

getDocString() - Method in class onnx.Onnx.GraphProto

A human-readable documentation for this graph.

getDocString() - Method in interface onnx.Onnx.GraphProtoOrBuilder

A human-readable documentation for this graph.

getDocString() - Method in class onnx.Onnx.ModelProto.Builder

A human-readable documentation for this model.

getDocString() - Method in class onnx.Onnx.ModelProto

A human-readable documentation for this model.

getDocString() - Method in interface onnx.Onnx.ModelProtoOrBuilder

A human-readable documentation for this model.

getDocString() - Method in class onnx.Onnx.NodeProto.Builder

A human-readable documentation for this node.

getDocString() - Method in class onnx.Onnx.NodeProto

A human-readable documentation for this node.

getDocString() - Method in interface onnx.Onnx.NodeProtoOrBuilder

A human-readable documentation for this node.

getDocString() - Method in class onnx.Onnx.TensorProto.Builder

A human-readable documentation for this tensor.

getDocString() - Method in class onnx.Onnx.TensorProto

A human-readable documentation for this tensor.

getDocString() - Method in interface onnx.Onnx.TensorProtoOrBuilder

A human-readable documentation for this tensor.

getDocString() - Method in class onnx.Onnx.ValueInfoProto.Builder

A human-readable documentation for this value.

getDocString() - Method in class onnx.Onnx.ValueInfoProto

A human-readable documentation for this value.

getDocString() - Method in interface onnx.Onnx.ValueInfoProtoOrBuilder

A human-readable documentation for this value.

getDocString() - Method in class onnx.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

getDocString() - Method in class onnx.OnnxMl.AttributeProto

A human-readable documentation for this attribute.

getDocString() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

A human-readable documentation for this attribute.

getDocString() - Method in class onnx.OnnxMl.FunctionProto.Builder

A human-readable documentation for this function.

getDocString() - Method in class onnx.OnnxMl.FunctionProto

A human-readable documentation for this function.

getDocString() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

A human-readable documentation for this function.

getDocString() - Method in class onnx.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

getDocString() - Method in class onnx.OnnxMl.GraphProto

A human-readable documentation for this graph.

getDocString() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

A human-readable documentation for this graph.

getDocString() - Method in class onnx.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

getDocString() - Method in class onnx.OnnxMl.ModelProto

A human-readable documentation for this model.

getDocString() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

A human-readable documentation for this model.

getDocString() - Method in class onnx.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

getDocString() - Method in class onnx.OnnxMl.NodeProto

A human-readable documentation for this node.

getDocString() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

A human-readable documentation for this node.

getDocString() - Method in class onnx.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

getDocString() - Method in class onnx.OnnxMl.TensorProto

A human-readable documentation for this tensor.

getDocString() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

A human-readable documentation for this tensor.

getDocString() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

getDocString() - Method in class onnx.OnnxMl.ValueInfoProto

A human-readable documentation for this value.

getDocString() - Method in interface onnx.OnnxMl.ValueInfoProtoOrBuilder

A human-readable documentation for this value.

getDocString() - Method in class onnx.OnnxOperators.OperatorProto.Builder

A human-readable documentation for this operator.

getDocString() - Method in class onnx.OnnxOperators.OperatorProto

A human-readable documentation for this operator.

getDocString() - Method in interface onnx.OnnxOperators.OperatorProtoOrBuilder

A human-readable documentation for this operator.

getDocString() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

A human-readable documentation for this set of operators.

getDocString() - Method in class onnx.OnnxOperators.OperatorSetProto

A human-readable documentation for this set of operators.

getDocString() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

A human-readable documentation for this set of operators.

getDocString() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

A human-readable documentation for this tensor.

getDocString() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

A human-readable documentation for this tensor.

getDocString() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

A human-readable documentation for this tensor.

getDocString() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

A human-readable documentation for this value.

getDocString() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

A human-readable documentation for this value.

getDocString() - Method in interface org.nd4j.ir.TensorNamespace.ValueInfoProtoOrBuilder

A human-readable documentation for this value.

getDocStringBytes() - Method in class onnx.Onnx.AttributeProto.Builder

A human-readable documentation for this attribute.

getDocStringBytes() - Method in class onnx.Onnx.AttributeProto

A human-readable documentation for this attribute.

getDocStringBytes() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

A human-readable documentation for this attribute.

getDocStringBytes() - Method in class onnx.Onnx.FunctionProto.Builder

A human-readable documentation for this function.

getDocStringBytes() - Method in class onnx.Onnx.FunctionProto

A human-readable documentation for this function.

getDocStringBytes() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

A human-readable documentation for this function.

getDocStringBytes() - Method in class onnx.Onnx.GraphProto.Builder

A human-readable documentation for this graph.

getDocStringBytes() - Method in class onnx.Onnx.GraphProto

A human-readable documentation for this graph.

getDocStringBytes() - Method in interface onnx.Onnx.GraphProtoOrBuilder

A human-readable documentation for this graph.

getDocStringBytes() - Method in class onnx.Onnx.ModelProto.Builder

A human-readable documentation for this model.

getDocStringBytes() - Method in class onnx.Onnx.ModelProto

A human-readable documentation for this model.

getDocStringBytes() - Method in interface onnx.Onnx.ModelProtoOrBuilder

A human-readable documentation for this model.

getDocStringBytes() - Method in class onnx.Onnx.NodeProto.Builder

A human-readable documentation for this node.

getDocStringBytes() - Method in class onnx.Onnx.NodeProto

A human-readable documentation for this node.

getDocStringBytes() - Method in interface onnx.Onnx.NodeProtoOrBuilder

A human-readable documentation for this node.

getDocStringBytes() - Method in class onnx.Onnx.TensorProto.Builder

A human-readable documentation for this tensor.

getDocStringBytes() - Method in class onnx.Onnx.TensorProto

A human-readable documentation for this tensor.

getDocStringBytes() - Method in interface onnx.Onnx.TensorProtoOrBuilder

A human-readable documentation for this tensor.

getDocStringBytes() - Method in class onnx.Onnx.ValueInfoProto.Builder

A human-readable documentation for this value.

getDocStringBytes() - Method in class onnx.Onnx.ValueInfoProto

A human-readable documentation for this value.

getDocStringBytes() - Method in interface onnx.Onnx.ValueInfoProtoOrBuilder

A human-readable documentation for this value.

getDocStringBytes() - Method in class onnx.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

getDocStringBytes() - Method in class onnx.OnnxMl.AttributeProto

A human-readable documentation for this attribute.

getDocStringBytes() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

A human-readable documentation for this attribute.

getDocStringBytes() - Method in class onnx.OnnxMl.FunctionProto.Builder

A human-readable documentation for this function.

getDocStringBytes() - Method in class onnx.OnnxMl.FunctionProto

A human-readable documentation for this function.

getDocStringBytes() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

A human-readable documentation for this function.

getDocStringBytes() - Method in class onnx.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

getDocStringBytes() - Method in class onnx.OnnxMl.GraphProto

A human-readable documentation for this graph.

getDocStringBytes() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

A human-readable documentation for this graph.

getDocStringBytes() - Method in class onnx.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

getDocStringBytes() - Method in class onnx.OnnxMl.ModelProto

A human-readable documentation for this model.

getDocStringBytes() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

A human-readable documentation for this model.

getDocStringBytes() - Method in class onnx.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

getDocStringBytes() - Method in class onnx.OnnxMl.NodeProto

A human-readable documentation for this node.

getDocStringBytes() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

A human-readable documentation for this node.

getDocStringBytes() - Method in class onnx.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

getDocStringBytes() - Method in class onnx.OnnxMl.TensorProto

A human-readable documentation for this tensor.

getDocStringBytes() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

A human-readable documentation for this tensor.

getDocStringBytes() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

getDocStringBytes() - Method in class onnx.OnnxMl.ValueInfoProto

A human-readable documentation for this value.

getDocStringBytes() - Method in interface onnx.OnnxMl.ValueInfoProtoOrBuilder

A human-readable documentation for this value.

getDocStringBytes() - Method in class onnx.OnnxOperators.OperatorProto.Builder

A human-readable documentation for this operator.

getDocStringBytes() - Method in class onnx.OnnxOperators.OperatorProto

A human-readable documentation for this operator.

getDocStringBytes() - Method in interface onnx.OnnxOperators.OperatorProtoOrBuilder

A human-readable documentation for this operator.

getDocStringBytes() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

A human-readable documentation for this set of operators.

getDocStringBytes() - Method in class onnx.OnnxOperators.OperatorSetProto

A human-readable documentation for this set of operators.

getDocStringBytes() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

A human-readable documentation for this set of operators.

getDocStringBytes() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

A human-readable documentation for this tensor.

getDocStringBytes() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

A human-readable documentation for this tensor.

getDocStringBytes() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

A human-readable documentation for this tensor.

getDocStringBytes() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

A human-readable documentation for this value.

getDocStringBytes() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

A human-readable documentation for this value.

getDocStringBytes() - Method in interface org.nd4j.ir.TensorNamespace.ValueInfoProtoOrBuilder

A human-readable documentation for this value.

getDoFunctionInlining() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

If true, perform function inlining on the graph.

getDoFunctionInlining() - Method in class org.tensorflow.framework.OptimizerOptions

If true, perform function inlining on the graph.

getDoFunctionInlining() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder

If true, perform function inlining on the graph.

getDomain() - Method in class onnx.Onnx.FunctionProto.Builder

The domain which this function belongs to.

getDomain() - Method in class onnx.Onnx.FunctionProto

The domain which this function belongs to.

getDomain() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The domain which this function belongs to.

getDomain() - Method in class onnx.Onnx.ModelProto.Builder

Domain name of the model.

getDomain() - Method in class onnx.Onnx.ModelProto

Domain name of the model.

getDomain() - Method in interface onnx.Onnx.ModelProtoOrBuilder

Domain name of the model.

getDomain() - Method in class onnx.Onnx.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomain() - Method in class onnx.Onnx.NodeProto

The domain of the OperatorSet that specifies the operator named by op_type.

getDomain() - Method in interface onnx.Onnx.NodeProtoOrBuilder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomain() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

The domain of the operator set being identified.

getDomain() - Method in class onnx.Onnx.OperatorSetIdProto

The domain of the operator set being identified.

getDomain() - Method in interface onnx.Onnx.OperatorSetIdProtoOrBuilder

The domain of the operator set being identified.

getDomain() - Method in class onnx.OnnxMl.FunctionProto.Builder

The domain which this function belongs to.

getDomain() - Method in class onnx.OnnxMl.FunctionProto

The domain which this function belongs to.

getDomain() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The domain which this function belongs to.

getDomain() - Method in class onnx.OnnxMl.ModelProto.Builder

Domain name of the model.

getDomain() - Method in class onnx.OnnxMl.ModelProto

Domain name of the model.

getDomain() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Domain name of the model.

getDomain() - Method in class onnx.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomain() - Method in class onnx.OnnxMl.NodeProto

The domain of the OperatorSet that specifies the operator named by op_type.

getDomain() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomain() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

getDomain() - Method in class onnx.OnnxMl.OperatorSetIdProto

The domain of the operator set being identified.

getDomain() - Method in interface onnx.OnnxMl.OperatorSetIdProtoOrBuilder

The domain of the operator set being identified.

getDomain() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

getDomain() - Method in class onnx.OnnxMl.TypeProto.Opaque

When missing, the domain is the same as the model's.

getDomain() - Method in interface onnx.OnnxMl.TypeProto.OpaqueOrBuilder

When missing, the domain is the same as the model's.

getDomain() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).

getDomain() - Method in class onnx.OnnxOperators.OperatorSetProto

Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).

getDomain() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).

getDomainBytes() - Method in class onnx.Onnx.FunctionProto.Builder

The domain which this function belongs to.

getDomainBytes() - Method in class onnx.Onnx.FunctionProto

The domain which this function belongs to.

getDomainBytes() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The domain which this function belongs to.

getDomainBytes() - Method in class onnx.Onnx.ModelProto.Builder

Domain name of the model.

getDomainBytes() - Method in class onnx.Onnx.ModelProto

Domain name of the model.

getDomainBytes() - Method in interface onnx.Onnx.ModelProtoOrBuilder

Domain name of the model.

getDomainBytes() - Method in class onnx.Onnx.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomainBytes() - Method in class onnx.Onnx.NodeProto

The domain of the OperatorSet that specifies the operator named by op_type.

getDomainBytes() - Method in interface onnx.Onnx.NodeProtoOrBuilder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomainBytes() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

The domain of the operator set being identified.

getDomainBytes() - Method in class onnx.Onnx.OperatorSetIdProto

The domain of the operator set being identified.

getDomainBytes() - Method in interface onnx.Onnx.OperatorSetIdProtoOrBuilder

The domain of the operator set being identified.

getDomainBytes() - Method in class onnx.OnnxMl.FunctionProto.Builder

The domain which this function belongs to.

getDomainBytes() - Method in class onnx.OnnxMl.FunctionProto

The domain which this function belongs to.

getDomainBytes() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The domain which this function belongs to.

getDomainBytes() - Method in class onnx.OnnxMl.ModelProto.Builder

Domain name of the model.

getDomainBytes() - Method in class onnx.OnnxMl.ModelProto

Domain name of the model.

getDomainBytes() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Domain name of the model.

getDomainBytes() - Method in class onnx.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomainBytes() - Method in class onnx.OnnxMl.NodeProto

The domain of the OperatorSet that specifies the operator named by op_type.

getDomainBytes() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomainBytes() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

getDomainBytes() - Method in class onnx.OnnxMl.OperatorSetIdProto

The domain of the operator set being identified.

getDomainBytes() - Method in interface onnx.OnnxMl.OperatorSetIdProtoOrBuilder

The domain of the operator set being identified.

getDomainBytes() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

getDomainBytes() - Method in class onnx.OnnxMl.TypeProto.Opaque

When missing, the domain is the same as the model's.

getDomainBytes() - Method in interface onnx.OnnxMl.TypeProto.OpaqueOrBuilder

When missing, the domain is the same as the model's.

getDomainBytes() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).

getDomainBytes() - Method in class onnx.OnnxOperators.OperatorSetProto

Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).

getDomainBytes() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).

getDouble(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getDouble(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get a double value at the specified indices.

getDouble(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getDouble(long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get element i in the buffer as a double

getDouble(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getDouble(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get the double value at the specified linear index in the array

getDouble(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getDouble(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

See INDArray.getDouble(int[])

getDouble(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getDouble(long, long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get the double value at the specified indices.

getDouble(INDArray, int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Get a double based on the array and given indices

getDouble(INDArray, long...) - Static method in class org.nd4j.linalg.api.shape.Shape

getDoubleData(int) - Method in class onnx.Onnx.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in class onnx.Onnx.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in interface onnx.Onnx.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in class onnx.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in class onnx.OnnxMl.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(DataBuffer) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Returns the double data for this buffer.

getDoubleData(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Returns the double data for this ndarray.

getDoubleDataCount() - Method in class onnx.Onnx.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in class onnx.Onnx.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in class onnx.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in class onnx.OnnxMl.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in class onnx.Onnx.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in class onnx.Onnx.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in class onnx.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in class onnx.OnnxMl.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoublesAt(long, int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getDoublesAt(long, int) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get the doubles at a particular offset

getDoublesAt(long, long, int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getDoublesAt(long, long, int) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get the doubles at a particular offset

getDoubleUnsafe(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getDoubleUnsafe(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get a double at the given linear offset unsafe, without checks.

getDoubleUnsynced(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getDoubleUnsynced(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

getDoubleVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_DOUBLE.

getDoubleVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_DOUBLE.

getDoubleVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_DOUBLE.

getDoubleValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_DOUBLE.

getDoubleValCount() - Method in class org.tensorflow.framework.TensorProto

DT_DOUBLE.

getDoubleValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_DOUBLE.

getDoubleValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_DOUBLE.

getDoubleValList() - Method in class org.tensorflow.framework.TensorProto

DT_DOUBLE.

getDoubleValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_DOUBLE.

getDoubleValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

double doubleValue = 3;

getDoubleValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

double doubleValue = 3;

getDoubleValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

double doubleValue = 3;

getDoubleValueFromProperty(String, Map<String, Object>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

getDstDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

string dst_device = 9;

getDstDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest

string dst_device = 9;

getDstDevice() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

string dst_device = 9;

getDstDeviceBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

string dst_device = 9;

getDstDeviceBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest

string dst_device = 9;

getDstDeviceBytes() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

string dst_device = 9;

getDtype() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.DataType dtype = 4;

getDtype() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

.tensorflow.DataType dtype = 4;

getDtype() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder

.tensorflow.DataType dtype = 4;

getDtype() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

.tensorflow.DataType dtype = 5;

getDtype() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

.tensorflow.DataType dtype = 5;

getDtype() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder

.tensorflow.DataType dtype = 5;

getDtype() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

getDtype() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

.tensorflow.DataType dtype = 3;

getDtype() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder

.tensorflow.DataType dtype = 3;

getDtype() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

getDtype() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

.tensorflow.DataType dtype = 3;

getDtype() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder

.tensorflow.DataType dtype = 3;

getDtype() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.DataType dtype = 1;

getDtype() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

.tensorflow.DataType dtype = 1;

getDtype() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder

.tensorflow.DataType dtype = 1;

getDtype() - Method in class org.tensorflow.framework.TensorDescription.Builder

Data type of tensor elements

getDtype() - Method in class org.tensorflow.framework.TensorDescription

Data type of tensor elements

getDtype() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder

Data type of tensor elements

getDtype() - Method in class org.tensorflow.framework.TensorInfo.Builder

.tensorflow.DataType dtype = 2;

getDtype() - Method in class org.tensorflow.framework.TensorInfo

.tensorflow.DataType dtype = 2;

getDtype() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

.tensorflow.DataType dtype = 2;

getDtype() - Method in class org.tensorflow.framework.TensorProto.Builder

.tensorflow.DataType dtype = 1;

getDtype() - Method in class org.tensorflow.framework.TensorProto

.tensorflow.DataType dtype = 1;

getDtype() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

.tensorflow.DataType dtype = 1;

getDtype() - Method in class org.tensorflow.util.BundleEntryProto.Builder

The tensor dtype and shape.

getDtype() - Method in class org.tensorflow.util.BundleEntryProto

The tensor dtype and shape.

getDtype() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

The tensor dtype and shape.

getDTypeForName(DataType) - Static method in class org.nd4j.linalg.api.buffer.util.DataTypeUtil

Gets the name of the allocation mode

getDtypeFromContext() - Static method in class org.nd4j.linalg.api.buffer.util.DataTypeUtil

get the allocation mode from the context

getDtypeFromContext(String) - Static method in class org.nd4j.linalg.api.buffer.util.DataTypeUtil

Get the allocation mode from the context

getDtypeValue() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.DataType dtype = 4;

getDtypeValue() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

.tensorflow.DataType dtype = 4;

getDtypeValue() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder

.tensorflow.DataType dtype = 4;

getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

.tensorflow.DataType dtype = 5;

getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

.tensorflow.DataType dtype = 5;

getDtypeValue() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder

.tensorflow.DataType dtype = 5;

getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

.tensorflow.DataType dtype = 3;

getDtypeValue() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder

.tensorflow.DataType dtype = 3;

getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

.tensorflow.DataType dtype = 3;

getDtypeValue() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder

.tensorflow.DataType dtype = 3;

getDtypeValue() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.DataType dtype = 1;

getDtypeValue() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

.tensorflow.DataType dtype = 1;

getDtypeValue() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder

.tensorflow.DataType dtype = 1;

getDtypeValue() - Method in class org.tensorflow.framework.TensorDescription.Builder

Data type of tensor elements

getDtypeValue() - Method in class org.tensorflow.framework.TensorDescription

Data type of tensor elements

getDtypeValue() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder

Data type of tensor elements

getDtypeValue() - Method in class org.tensorflow.framework.TensorInfo.Builder

.tensorflow.DataType dtype = 2;

getDtypeValue() - Method in class org.tensorflow.framework.TensorInfo

.tensorflow.DataType dtype = 2;

getDtypeValue() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

.tensorflow.DataType dtype = 2;

getDtypeValue() - Method in class org.tensorflow.framework.TensorProto.Builder

.tensorflow.DataType dtype = 1;

getDtypeValue() - Method in class org.tensorflow.framework.TensorProto

.tensorflow.DataType dtype = 1;

getDtypeValue() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

.tensorflow.DataType dtype = 1;

getDtypeValue() - Method in class org.tensorflow.util.BundleEntryProto.Builder

The tensor dtype and shape.

getDtypeValue() - Method in class org.tensorflow.util.BundleEntryProto

The tensor dtype and shape.

getDtypeValue() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

The tensor dtype and shape.

getDuration() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

Length of the trace to be taken, in seconds.

getDuration() - Method in class org.tensorflow.distruntime.TraceOpts

Length of the trace to be taken, in seconds.

getDuration() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder

Length of the trace to be taken, in seconds.

getEagerArrForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Note this is a special getter for the eager holder.

getEigenvalues() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA

getEigenvectors() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA

getElementName(int) - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor

getElementSize() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getElementSize() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

The number of bytes for each individual element

getElemType() - Method in class onnx.Onnx.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

getElemType() - Method in class onnx.Onnx.TypeProto.Optional

The type and optional shape of the element wrapped.

getElemType() - Method in interface onnx.Onnx.TypeProto.OptionalOrBuilder

The type and optional shape of the element wrapped.

getElemType() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

getElemType() - Method in class onnx.Onnx.TypeProto.Sequence

The type and optional shape of each element of the sequence.

getElemType() - Method in interface onnx.Onnx.TypeProto.SequenceOrBuilder

The type and optional shape of each element of the sequence.

getElemType() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class onnx.Onnx.TypeProto.SparseTensor

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in interface onnx.Onnx.TypeProto.SparseTensorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class onnx.Onnx.TypeProto.Tensor

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in interface onnx.Onnx.TypeProto.TensorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

getElemType() - Method in class onnx.OnnxMl.TypeProto.Optional

The type and optional shape of the element wrapped.

getElemType() - Method in interface onnx.OnnxMl.TypeProto.OptionalOrBuilder

The type and optional shape of the element wrapped.

getElemType() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

getElemType() - Method in class onnx.OnnxMl.TypeProto.Sequence

The type and optional shape of each element of the sequence.

getElemType() - Method in interface onnx.OnnxMl.TypeProto.SequenceOrBuilder

The type and optional shape of each element of the sequence.

getElemType() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in interface onnx.OnnxMl.TypeProto.SparseTensorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class onnx.OnnxMl.TypeProto.Tensor

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in interface onnx.OnnxMl.TypeProto.TensorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.

getElemType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.

getElemType() - Method in interface org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.

getElemTypeBuilder() - Method in class onnx.Onnx.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

getElemTypeBuilder() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

getElemTypeBuilder() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

getElemTypeBuilder() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

getElemTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

getElemTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Optional

The type and optional shape of the element wrapped.

getElemTypeOrBuilder() - Method in interface onnx.Onnx.TypeProto.OptionalOrBuilder

The type and optional shape of the element wrapped.

getElemTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

getElemTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Sequence

The type and optional shape of each element of the sequence.

getElemTypeOrBuilder() - Method in interface onnx.Onnx.TypeProto.SequenceOrBuilder

The type and optional shape of each element of the sequence.

getElemTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

getElemTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Optional

The type and optional shape of the element wrapped.

getElemTypeOrBuilder() - Method in interface onnx.OnnxMl.TypeProto.OptionalOrBuilder

The type and optional shape of the element wrapped.

getElemTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

getElemTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Sequence

The type and optional shape of each element of the sequence.

getElemTypeOrBuilder() - Method in interface onnx.OnnxMl.TypeProto.SequenceOrBuilder

The type and optional shape of each element of the sequence.

getElemTypeValue() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.

getElemTypeValue() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.

getElemTypeValue() - Method in interface org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.

getEnable() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

bool enable = 1;

getEnable() - Method in class org.tensorflow.framework.AutoParallelOptions

bool enable = 1;

getEnable() - Method in interface org.tensorflow.framework.AutoParallelOptionsOrBuilder

bool enable = 1;

getEnableBfloat16Sendrecv() - Method in class org.tensorflow.framework.GraphOptions.Builder

If true, transfer float values between processes as bfloat16.

getEnableBfloat16Sendrecv() - Method in class org.tensorflow.framework.GraphOptions

If true, transfer float values between processes as bfloat16.

getEnableBfloat16Sendrecv() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

If true, transfer float values between processes as bfloat16.

getEnableOp(int) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

If present, only perform optimization for these ops.

getEnableOp(int) - Method in class org.tensorflow.framework.ScopedAllocatorOptions

If present, only perform optimization for these ops.

getEnableOp(int) - Method in interface org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder

If present, only perform optimization for these ops.

getEnableOpBytes(int) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

If present, only perform optimization for these ops.

getEnableOpBytes(int) - Method in class org.tensorflow.framework.ScopedAllocatorOptions

If present, only perform optimization for these ops.

getEnableOpBytes(int) - Method in interface org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder

If present, only perform optimization for these ops.

getEnableOpCount() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

If present, only perform optimization for these ops.

getEnableOpCount() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

If present, only perform optimization for these ops.

getEnableOpCount() - Method in interface org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder

If present, only perform optimization for these ops.

getEnableOpList() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

If present, only perform optimization for these ops.

getEnableOpList() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

If present, only perform optimization for these ops.

getEnableOpList() - Method in interface org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder

If present, only perform optimization for these ops.

getEnableRecvScheduling() - Method in class org.tensorflow.framework.GraphOptions.Builder

If true, use control flow to schedule the activation of Recv nodes.

getEnableRecvScheduling() - Method in class org.tensorflow.framework.GraphOptions

If true, use control flow to schedule the activation of Recv nodes.

getEnableRecvScheduling() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

If true, use control flow to schedule the activation of Recv nodes.

getEnableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

If true, RPC logging will be enabled.

getEnableRpcLogging() - Method in class org.tensorflow.distruntime.LoggingRequest

If true, RPC logging will be enabled.

getEnableRpcLogging() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder

If true, RPC logging will be enabled.

getEncodedAudioString() - Method in class org.tensorflow.framework.Summary.Audio.Builder

Encoded audio data and its associated RFC 2045 content type (e.g.

getEncodedAudioString() - Method in class org.tensorflow.framework.Summary.Audio

Encoded audio data and its associated RFC 2045 content type (e.g.

getEncodedAudioString() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder

Encoded audio data and its associated RFC 2045 content type (e.g.

getEncodedImageString() - Method in class org.tensorflow.framework.Summary.Image.Builder

Image data in encoded format.

getEncodedImageString() - Method in class org.tensorflow.framework.Summary.Image

Image data in encoded format.

getEncodedImageString() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder

Image data in encoded format.

getEncodingCase() - Method in class org.tensorflow.framework.TensorInfo.Builder

getEncodingCase() - Method in class org.tensorflow.framework.TensorInfo

getEncodingCase() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

getEnd() - Method in class onnx.Onnx.TensorProto.Segment.Builder

int64 end = 2;

getEnd() - Method in class onnx.Onnx.TensorProto.Segment

int64 end = 2;

getEnd() - Method in interface onnx.Onnx.TensorProto.SegmentOrBuilder

int64 end = 2;

getEnd() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

int64 end = 2;

getEnd() - Method in class onnx.OnnxMl.TensorProto.Segment

int64 end = 2;

getEnd() - Method in interface onnx.OnnxMl.TensorProto.SegmentOrBuilder

int64 end = 2;

getEnd() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

int64 end = 2;

getEnd() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

int64 end = 2;

getEnd() - Method in interface org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder

int64 end = 2;

getEndianness() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

.tensorflow.BundleHeaderProto.Endianness endianness = 2;

getEndianness() - Method in class org.tensorflow.util.BundleHeaderProto

.tensorflow.BundleHeaderProto.Endianness endianness = 2;

getEndianness() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder

.tensorflow.BundleHeaderProto.Endianness endianness = 2;

getEndiannessValue() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

.tensorflow.BundleHeaderProto.Endianness endianness = 2;

getEndiannessValue() - Method in class org.tensorflow.util.BundleHeaderProto

.tensorflow.BundleHeaderProto.Endianness endianness = 2;

getEndiannessValue() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder

.tensorflow.BundleHeaderProto.Endianness endianness = 2;

getEndpoint(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpoint(int) - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpoint(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointCount() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointCount() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointList() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointOrBuilderList() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEndpointOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

getEnqueueOpName(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of enqueue operations.

getEnqueueOpName(int) - Method in class org.tensorflow.framework.QueueRunnerDef

A list of enqueue operations.

getEnqueueOpName(int) - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

A list of enqueue operations.

getEnqueueOpNameBytes(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of enqueue operations.

getEnqueueOpNameBytes(int) - Method in class org.tensorflow.framework.QueueRunnerDef

A list of enqueue operations.

getEnqueueOpNameBytes(int) - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

A list of enqueue operations.

getEnqueueOpNameCount() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of enqueue operations.

getEnqueueOpNameCount() - Method in class org.tensorflow.framework.QueueRunnerDef

A list of enqueue operations.

getEnqueueOpNameCount() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

A list of enqueue operations.

getEnqueueOpNameList() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of enqueue operations.

getEnqueueOpNameList() - Method in class org.tensorflow.framework.QueueRunnerDef

A list of enqueue operations.

getEnqueueOpNameList() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

A list of enqueue operations.

getEntryName() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor

getEnvironment() - Static method in class org.nd4j.linalg.api.environment.Nd4jEnvironment

Load an Nd4jEnvironment from the properties returned from OpExecutioner.getEnvironmentInformation() derived from Nd4j.getExecutioner()

getEnvironment() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the backend Environment instance

getEnvironment() - Method in class org.nd4j.linalg.factory.Nd4jBackend

getEnvironment() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Deprecated.

getEnvironment() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Deprecated.

getEnvironment() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Deprecated.

getEnvironmentCount() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

getEnvironmentCount() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

getEnvironmentCount() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Version of the tools and libraries used with this device (e.g.

getEnvironmentInformation() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

This method return set of key/value and key/key/value objects, describing current environment

getEnvironmentInformation() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method return set of key/value and key/key/value objects, describing current environment

getEnvironmentMap() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Version of the tools and libraries used with this device (e.g.

getEnvironmentMap() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Version of the tools and libraries used with this device (e.g.

getEnvironmentMap() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Version of the tools and libraries used with this device (e.g.

getEnvironmentOrDefault(String, String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Version of the tools and libraries used with this device (e.g.

getEnvironmentOrDefault(String, String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Version of the tools and libraries used with this device (e.g.

getEnvironmentOrDefault(String, String) - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Version of the tools and libraries used with this device (e.g.

getEnvironmentOrThrow(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Version of the tools and libraries used with this device (e.g.

getEnvironmentOrThrow(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Version of the tools and libraries used with this device (e.g.

getEnvironmentOrThrow(String) - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Version of the tools and libraries used with this device (e.g.

getErrorCode() - Method in error org.nd4j.linalg.api.blas.BlasException

getEvaluationClass() - Method in enum org.nd4j.evaluation.classification.Evaluation.Metric

getEvaluationClass() - Method in enum org.nd4j.evaluation.classification.EvaluationBinary.Metric

getEvaluationClass() - Method in enum org.nd4j.evaluation.classification.ROC.Metric

getEvaluationClass() - Method in enum org.nd4j.evaluation.classification.ROCBinary.Metric

getEvaluationClass() - Method in enum org.nd4j.evaluation.classification.ROCMultiClass.Metric

getEvaluationClass() - Method in class org.nd4j.evaluation.custom.CustomEvaluation.Metric

getEvaluationClass() - Method in interface org.nd4j.evaluation.IMetric

The IEvaluation class this metric is for

getEvaluationClass() - Method in enum org.nd4j.evaluation.regression.RegressionEvaluation.Metric

getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Get the example metadata, or null if no metadata has been set

getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the example metadata, or null if no metadata has been set

getExampleMetaData() - Method in class org.nd4j.linalg.dataset.DataSet

getExampleMetaData() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!

getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!

getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.DataSet

getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getExclusiveResourceAccess() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).

getExclusiveResourceAccess() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).

getExclusiveResourceAccess() - Method in interface org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder

Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).

getExecOpts() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Options for this step.

getExecOpts() - Method in class org.tensorflow.distruntime.RunGraphRequest

Options for this step.

getExecOpts() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

Options for this step.

getExecOptsBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Options for this step.

getExecOptsOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Options for this step.

getExecOptsOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest

Options for this step.

getExecOptsOrBuilder() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

Options for this step.

getExecStepForVar(String, FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get the ExecStep for the given variable, given execution is happening at the specified frame/iteration

getExecuteInCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

Name of the critical section handle.

getExecuteInCriticalSectionName() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

Name of the critical section handle.

getExecuteInCriticalSectionName() - Method in interface org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder

Name of the critical section handle.

getExecuteInCriticalSectionNameBytes() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

Name of the critical section handle.

getExecuteInCriticalSectionNameBytes() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

Name of the critical section handle.

getExecuteInCriticalSectionNameBytes() - Method in interface org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder

Name of the critical section handle.

getExecutioner() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the operation executioner instance.

getExecutionMode() - Method in interface org.nd4j.linalg.api.ops.OpContext

This method returns current execution mode for Context

getExecutorName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Executor's name

getExecutorName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Executor's name

getExecutorName() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Executor's name

getExecutorNameBytes() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Executor's name

getExecutorNameBytes() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Executor's name

getExecutorNameBytes() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Executor's name

getExecutorService() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider

getExperimental() - Method in class org.tensorflow.framework.ConfigProto.Builder

.tensorflow.ConfigProto.Experimental experimental = 16;

getExperimental() - Method in class org.tensorflow.framework.ConfigProto

.tensorflow.ConfigProto.Experimental experimental = 16;

getExperimental() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

.tensorflow.ConfigProto.Experimental experimental = 16;

getExperimental() - Method in class org.tensorflow.framework.GPUOptions.Builder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

getExperimental() - Method in class org.tensorflow.framework.GPUOptions

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

getExperimental() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

getExperimental() - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.Experimental experimental = 8;

getExperimental() - Method in class org.tensorflow.framework.RunOptions

.tensorflow.RunOptions.Experimental experimental = 8;

getExperimental() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

.tensorflow.RunOptions.Experimental experimental = 8;

getExperimentalBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

.tensorflow.ConfigProto.Experimental experimental = 16;

getExperimentalBuilder() - Method in class org.tensorflow.framework.GPUOptions.Builder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

getExperimentalBuilder() - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.Experimental experimental = 8;

getExperimentalOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

.tensorflow.ConfigProto.Experimental experimental = 16;

getExperimentalOrBuilder() - Method in class org.tensorflow.framework.ConfigProto

.tensorflow.ConfigProto.Experimental experimental = 16;

getExperimentalOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

.tensorflow.ConfigProto.Experimental experimental = 16;

getExperimentalOrBuilder() - Method in class org.tensorflow.framework.GPUOptions.Builder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

getExperimentalOrBuilder() - Method in class org.tensorflow.framework.GPUOptions

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

getExperimentalOrBuilder() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

getExperimentalOrBuilder() - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.Experimental experimental = 8;

getExperimentalOrBuilder() - Method in class org.tensorflow.framework.RunOptions

.tensorflow.RunOptions.Experimental experimental = 8;

getExperimentalOrBuilder() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

.tensorflow.RunOptions.Experimental experimental = 8;

getExplanation() - Method in class org.tensorflow.framework.OpDeprecation.Builder

Explanation of why it was deprecated and what to use instead.

getExplanation() - Method in class org.tensorflow.framework.OpDeprecation

Explanation of why it was deprecated and what to use instead.

getExplanation() - Method in interface org.tensorflow.framework.OpDeprecationOrBuilder

Explanation of why it was deprecated and what to use instead.

getExplanationBytes() - Method in class org.tensorflow.framework.OpDeprecation.Builder

Explanation of why it was deprecated and what to use instead.

getExplanationBytes() - Method in class org.tensorflow.framework.OpDeprecation

Explanation of why it was deprecated and what to use instead.

getExplanationBytes() - Method in interface org.tensorflow.framework.OpDeprecationOrBuilder

Explanation of why it was deprecated and what to use instead.

getExtent(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

getExtent(int) - Method in class org.tensorflow.framework.TensorSliceProto

Extent of the slice in all tensor dimensions.

getExtent(int) - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder

Extent of the slice in all tensor dimensions.

getExtentBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

getExtentBuilderList() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

getExtentCount() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

getExtentCount() - Method in class org.tensorflow.framework.TensorSliceProto

Extent of the slice in all tensor dimensions.

getExtentCount() - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder

Extent of the slice in all tensor dimensions.

getExtentList() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

getExtentList() - Method in class org.tensorflow.framework.TensorSliceProto

Extent of the slice in all tensor dimensions.

getExtentList() - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder

Extent of the slice in all tensor dimensions.

getExtentOrBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

getExtentOrBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto

Extent of the slice in all tensor dimensions.

getExtentOrBuilder(int) - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder

Extent of the slice in all tensor dimensions.

getExtentOrBuilderList() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

getExtentOrBuilderList() - Method in class org.tensorflow.framework.TensorSliceProto

Extent of the slice in all tensor dimensions.

getExtentOrBuilderList() - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder

Extent of the slice in all tensor dimensions.

getExternalData(int) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in class onnx.Onnx.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in interface onnx.Onnx.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in class onnx.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataBuilder(int) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataBuilder(int) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataBuilder(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataBuilderList() - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataBuilderList() - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataBuilderList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in class onnx.Onnx.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in interface onnx.Onnx.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in class onnx.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in class onnx.Onnx.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in interface onnx.Onnx.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in class onnx.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in class onnx.Onnx.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in interface onnx.Onnx.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in class onnx.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in class onnx.Onnx.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in interface onnx.Onnx.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in class onnx.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalValues() - Method in class org.tensorflow.framework.ValuesDef.Builder

Deprecated.

getExternalValues() - Method in class org.tensorflow.framework.ValuesDef

Deprecated.

getExternalValues() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Deprecated.

getExternalValuesCount() - Method in class org.tensorflow.framework.ValuesDef.Builder

getExternalValuesCount() - Method in class org.tensorflow.framework.ValuesDef

getExternalValuesCount() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Value names referenced by but external to this context.

getExternalValuesMap() - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names referenced by but external to this context.

getExternalValuesMap() - Method in class org.tensorflow.framework.ValuesDef

Value names referenced by but external to this context.

getExternalValuesMap() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Value names referenced by but external to this context.

getExternalValuesOrDefault(String, String) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names referenced by but external to this context.

getExternalValuesOrDefault(String, String) - Method in class org.tensorflow.framework.ValuesDef

Value names referenced by but external to this context.

getExternalValuesOrDefault(String, String) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Value names referenced by but external to this context.

getExternalValuesOrThrow(String) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names referenced by but external to this context.

getExternalValuesOrThrow(String) - Method in class org.tensorflow.framework.ValuesDef

Value names referenced by but external to this context.

getExternalValuesOrThrow(String) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Value names referenced by but external to this context.

getExtraArgs() - Method in class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal

getF() - Method in class onnx.Onnx.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

getF() - Method in class onnx.Onnx.AttributeProto

Exactly ONE of the following fields must be present for this version of the IR

getF() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

Exactly ONE of the following fields must be present for this version of the IR

getF() - Method in class onnx.OnnxMl.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

getF() - Method in class onnx.OnnxMl.AttributeProto

Exactly ONE of the following fields must be present for this version of the IR

getF() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

Exactly ONE of the following fields must be present for this version of the IR

getF() - Method in class org.tensorflow.framework.AttrValue.Builder

"float"

getF() - Method in class org.tensorflow.framework.AttrValue

"float"

getF() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"float"

getF(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(float)"

getF(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(float)"

getF(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(float)"

getFalsePositiveRate(int) - Method in class org.nd4j.evaluation.curves.RocCurve

getFCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(float)"

getFCount() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(float)"

getFCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(float)"

getFeatureMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

getFeatures() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Returns the features array for the DataSet

getFeatures() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get all of the input features, as an array of INDArrays

getFeatures() - Method in class org.nd4j.linalg.dataset.DataSet

getFeatures() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getFeatures(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get a single feature/input array

getFeatures(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getFeaturesMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Input mask array: a mask array for input, where each value is in {0,1} in order to specify whether an input is actually present or not.

getFeaturesMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet

getFeaturesMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the specified feature mask array.

getFeaturesMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getFeaturesMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the feature mask arrays.

getFeaturesMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getFeatureStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

getFeatureStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

getFeatureStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

getFeatureStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

getFeed(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Tensors to be fed in future steps.

getFeed(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Tensors to be fed in future steps.

getFeed(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Tensors to be fed in future steps.

getFeed(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeed(int) - Method in class org.tensorflow.distruntime.RunCallableRequest

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeed(int) - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeed(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

getFeed(int) - Method in class org.tensorflow.distruntime.RunStepRequest

Tensors to be fed in the step.

getFeed(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Tensors to be fed in the step.

getFeed(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be fed in the callable.

getFeed(int) - Method in class org.tensorflow.framework.CallableOptions

Tensors to be fed in the callable.

getFeed(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Tensors to be fed in the callable.

getFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

getFeedBuilderList() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedBuilderList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

getFeedBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Tensors to be fed in future steps.

getFeedBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Tensors to be fed in future steps.

getFeedBytes(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Tensors to be fed in future steps.

getFeedBytes(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be fed in the callable.

getFeedBytes(int) - Method in class org.tensorflow.framework.CallableOptions

Tensors to be fed in the callable.

getFeedBytes(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Tensors to be fed in the callable.

getFeedCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Tensors to be fed in future steps.

getFeedCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Tensors to be fed in future steps.

getFeedCount() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Tensors to be fed in future steps.

getFeedCount() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedCount() - Method in class org.tensorflow.distruntime.RunCallableRequest

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedCount() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedCount() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

getFeedCount() - Method in class org.tensorflow.distruntime.RunStepRequest

Tensors to be fed in the step.

getFeedCount() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Tensors to be fed in the step.

getFeedCount() - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be fed in the callable.

getFeedCount() - Method in class org.tensorflow.framework.CallableOptions

Tensors to be fed in the callable.

getFeedCount() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Tensors to be fed in the callable.

getFeedList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Tensors to be fed in future steps.

getFeedList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Tensors to be fed in future steps.

getFeedList() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Tensors to be fed in future steps.

getFeedList() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedList() - Method in class org.tensorflow.distruntime.RunCallableRequest

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedList() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

getFeedList() - Method in class org.tensorflow.distruntime.RunStepRequest

Tensors to be fed in the step.

getFeedList() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Tensors to be fed in the step.

getFeedList() - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be fed in the callable.

getFeedList() - Method in class org.tensorflow.framework.CallableOptions

Tensors to be fed in the callable.

getFeedList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Tensors to be fed in the callable.

getFeedOrBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedOrBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableRequest

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedOrBuilder(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

getFeedOrBuilder(int) - Method in class org.tensorflow.distruntime.RunStepRequest

Tensors to be fed in the step.

getFeedOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Tensors to be fed in the step.

getFeedOrBuilderList() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedOrBuilderList() - Method in class org.tensorflow.distruntime.RunCallableRequest

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedOrBuilderList() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

getFeedOrBuilderList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

getFeedOrBuilderList() - Method in class org.tensorflow.distruntime.RunStepRequest

Tensors to be fed in the step.

getFeedOrBuilderList() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Tensors to be fed in the step.

getFetch(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Fetches.

getFetch(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Fetches.

getFetch(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Fetches.

getFetch(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetch(int) - Method in class org.tensorflow.distruntime.RunCallableResponse

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetch(int) - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetch(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Fetches.

getFetch(int) - Method in class org.tensorflow.distruntime.RunStepRequest

Fetches.

getFetch(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Fetches.

getFetch(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Fetches.

getFetch(int) - Method in class org.tensorflow.framework.CallableOptions

Fetches.

getFetch(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Fetches.

getFetchBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchBuilderList() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Fetches.

getFetchBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Fetches.

getFetchBytes(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Fetches.

getFetchBytes(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Fetches.

getFetchBytes(int) - Method in class org.tensorflow.distruntime.RunStepRequest

Fetches.

getFetchBytes(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Fetches.

getFetchBytes(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Fetches.

getFetchBytes(int) - Method in class org.tensorflow.framework.CallableOptions

Fetches.

getFetchBytes(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Fetches.

getFetchCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Fetches.

getFetchCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Fetches.

getFetchCount() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Fetches.

getFetchCount() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchCount() - Method in class org.tensorflow.distruntime.RunCallableResponse

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchCount() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchCount() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Fetches.

getFetchCount() - Method in class org.tensorflow.distruntime.RunStepRequest

Fetches.

getFetchCount() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Fetches.

getFetchCount() - Method in class org.tensorflow.framework.CallableOptions.Builder

Fetches.

getFetchCount() - Method in class org.tensorflow.framework.CallableOptions

Fetches.

getFetchCount() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Fetches.

getFetchList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Fetches.

getFetchList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Fetches.

getFetchList() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Fetches.

getFetchList() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchList() - Method in class org.tensorflow.distruntime.RunCallableResponse

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchList() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Fetches.

getFetchList() - Method in class org.tensorflow.distruntime.RunStepRequest

Fetches.

getFetchList() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Fetches.

getFetchList() - Method in class org.tensorflow.framework.CallableOptions.Builder

Fetches.

getFetchList() - Method in class org.tensorflow.framework.CallableOptions

Fetches.

getFetchList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Fetches.

getFetchOrBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchOrBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableResponse

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchOrBuilderList() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchOrBuilderList() - Method in class org.tensorflow.distruntime.RunCallableResponse

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchOrBuilderList() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

getFetchStepId(int) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

When set, requests all saved log data pertaining to the step.

getFetchStepId(int) - Method in class org.tensorflow.distruntime.LoggingRequest

When set, requests all saved log data pertaining to the step.

getFetchStepId(int) - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder

When set, requests all saved log data pertaining to the step.

getFetchStepIdCount() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

When set, requests all saved log data pertaining to the step.

getFetchStepIdCount() - Method in class org.tensorflow.distruntime.LoggingRequest

When set, requests all saved log data pertaining to the step.

getFetchStepIdCount() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder

When set, requests all saved log data pertaining to the step.

getFetchStepIdList() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

When set, requests all saved log data pertaining to the step.

getFetchStepIdList() - Method in class org.tensorflow.distruntime.LoggingRequest

When set, requests all saved log data pertaining to the step.

getFetchStepIdList() - Method in interface org.tensorflow.distruntime.LoggingRequestOrBuilder

When set, requests all saved log data pertaining to the step.

getFieldsForFunction(DifferentialFunction) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

Get the fields for a given DifferentialFunction

getFileForCheckpoint(int) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

Get the model file for the given checkpoint number.

getFileForCheckpoint(File, int) - Static method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

getFileForCheckpoint(Checkpoint) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

Get the model file for the given checkpoint.

getFileHeader() - Static method in class org.nd4j.autodiff.listeners.checkpoint.Checkpoint

getFilename() - Method in class org.tensorflow.framework.AssetFileDef.Builder

The filename within an assets directory.

getFilename() - Method in class org.tensorflow.framework.AssetFileDef

The filename within an assets directory.

getFilename() - Method in interface org.tensorflow.framework.AssetFileDefOrBuilder

The filename within an assets directory.

getFilenameBytes() - Method in class org.tensorflow.framework.AssetFileDef.Builder

The filename within an assets directory.

getFilenameBytes() - Method in class org.tensorflow.framework.AssetFileDef

The filename within an assets directory.

getFilenameBytes() - Method in interface org.tensorflow.framework.AssetFileDefOrBuilder

The filename within an assets directory.

getFilenameTensorName() - Method in class org.tensorflow.util.SaverDef.Builder

The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.

getFilenameTensorName() - Method in class org.tensorflow.util.SaverDef

The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.

getFilenameTensorName() - Method in interface org.tensorflow.util.SaverDefOrBuilder

The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.

getFilenameTensorNameBytes() - Method in class org.tensorflow.util.SaverDef.Builder

The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.

getFilenameTensorNameBytes() - Method in class org.tensorflow.util.SaverDef

The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.

getFilenameTensorNameBytes() - Method in interface org.tensorflow.util.SaverDefOrBuilder

The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.

getFilePath() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Path to the source code file.

getFilePath() - Method in class org.tensorflow.framework.DebuggedSourceFile

Path to the source code file.

getFilePath() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

Path to the source code file.

getFilePathBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Path to the source code file.

getFilePathBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile

Path to the source code file.

getFilePathBytes() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

Path to the source code file.

getFinalResult() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getFinalResult() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getFinalResult() - Method in class org.nd4j.linalg.api.ops.BaseOp

getFinalResult() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

getFinalResult() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation

getFinalResult() - Method in interface org.nd4j.linalg.api.ops.ReduceOp

getFirstNewAllSatisfiedMatching(Predicate<T>) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

As per AbstractDependencyTracker.getNewAllSatisfied() but instead of returning the first dependee, it returns the first that matches the provided predicate.

getFirstOp() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

getFirstOp() - Method in interface org.nd4j.linalg.api.ops.MetaOp

getFirstOpDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

getFirstOpDescriptor() - Method in interface org.nd4j.linalg.api.ops.MetaOp

getFlatConfiguration(FlatBufferBuilder) - Method in class org.nd4j.autodiff.execution.conf.ExecutorConfiguration

This method

getFlatOpType(Op.Type) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

This method converts an Op.Type to it's corresponding byte value

getFList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(float)"

getFList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(float)"

getFList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(float)"

getFloat(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getFloat(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the elements at the specified indices

getFloat(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getFloat(long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get element i in the buffer as a double

getFloat(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getFloat(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Return the item at the linear index i

getFloat(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getFloat(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

See INDArray.getFloat(int...)

getFloat(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getFloat(long, long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Return the item at row i column j Note that this is the same as calling getScalar(new int[]{i,j}

getFloatData(int) - Method in class onnx.Onnx.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in class onnx.Onnx.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in interface onnx.Onnx.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in class onnx.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in class onnx.OnnxMl.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(DataBuffer) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Returns the float data for this buffer.

getFloatData(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Returns the float data for this ndarray.

getFloatDataCount() - Method in class onnx.Onnx.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in class onnx.Onnx.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in class onnx.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in class onnx.OnnxMl.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in class onnx.Onnx.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in class onnx.Onnx.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in class onnx.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in class onnx.OnnxMl.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.FloatList float_list = 4;

getFloatList() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.FloatList float_list = 4;

getFloatList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.FloatList float_list = 4;

getFloatListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.FloatList float_list = 4;

getFloatListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.FloatList float_list = 4;

getFloatListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.FloatList float_list = 4;

getFloatListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.FloatList float_list = 4;

getFloats(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of floats

getFloats(int) - Method in class onnx.Onnx.AttributeProto

list of floats

getFloats(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of floats

getFloats(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of floats

getFloats(int) - Method in class onnx.OnnxMl.AttributeProto

list of floats

getFloats(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of floats

getFloatsAt(long, int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getFloatsAt(long, int) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get the doubles at a particular offset

getFloatsAt(long, long, int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getFloatsAt(long, long, int) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get the doubles at a particular offset

getFloatsCount() - Method in class onnx.Onnx.AttributeProto.Builder

list of floats

getFloatsCount() - Method in class onnx.Onnx.AttributeProto

list of floats

getFloatsCount() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of floats

getFloatsCount() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of floats

getFloatsCount() - Method in class onnx.OnnxMl.AttributeProto

list of floats

getFloatsCount() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of floats

getFloatsList() - Method in class onnx.Onnx.AttributeProto.Builder

list of floats

getFloatsList() - Method in class onnx.Onnx.AttributeProto

list of floats

getFloatsList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of floats

getFloatsList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of floats

getFloatsList() - Method in class onnx.OnnxMl.AttributeProto

list of floats

getFloatsList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of floats

getFloatUnsynced(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getFloatUnsynced(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

getFloatVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_FLOAT.

getFloatVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_FLOAT.

getFloatVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_FLOAT.

getFloatValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_FLOAT.

getFloatValCount() - Method in class org.tensorflow.framework.TensorProto

DT_FLOAT.

getFloatValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_FLOAT.

getFloatValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_FLOAT.

getFloatValList() - Method in class org.tensorflow.framework.TensorProto

DT_FLOAT.

getFloatValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_FLOAT.

getFloatValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

float floatValue = 2;

getFloatValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

float floatValue = 2;

getFloatValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

float floatValue = 2;

getForceGpuCompatible() - Method in class org.tensorflow.framework.GPUOptions.Builder

Force all tensors to be gpu_compatible.

getForceGpuCompatible() - Method in class org.tensorflow.framework.GPUOptions

Force all tensors to be gpu_compatible.

getForceGpuCompatible() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

Force all tensors to be gpu_compatible.

getForkJoinPool() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider

getFrameName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

getFrameworkName() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string frameworkName = 1;

getFrameworkName() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

string frameworkName = 1;

getFrameworkName() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

string frameworkName = 1;

getFrameworkNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string frameworkName = 1;

getFrameworkNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

string frameworkName = 1;

getFrameworkNameBytes() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

string frameworkName = 1;

getFrequency() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Core Frequency in Mhz

getFrequency() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Core Frequency in Mhz

getFrequency() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Core Frequency in Mhz

getFromTensor() - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

getFromTensor() - Method in class org.tensorflow.framework.TensorConnection

A tensor name.

getFromTensor() - Method in interface org.tensorflow.framework.TensorConnectionOrBuilder

A tensor name.

getFromTensorBytes() - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

getFromTensorBytes() - Method in class org.tensorflow.framework.TensorConnection

A tensor name.

getFromTensorBytes() - Method in interface org.tensorflow.framework.TensorConnectionOrBuilder

A tensor name.

getFullName() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Name of the full variable of which this is a slice.

getFullName() - Method in class org.tensorflow.framework.SaveSliceInfoDef

Name of the full variable of which this is a slice.

getFullName() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Name of the full variable of which this is a slice.

getFullName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The full name of the variable/tensor, if applicable.

getFullName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

The full name of the variable/tensor, if applicable.

getFullName() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder

The full name of the variable/tensor, if applicable.

getFullNameBytes() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Name of the full variable of which this is a slice.

getFullNameBytes() - Method in class org.tensorflow.framework.SaveSliceInfoDef

Name of the full variable of which this is a slice.

getFullNameBytes() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Name of the full variable of which this is a slice.

getFullNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The full name of the variable/tensor, if applicable.

getFullNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

The full name of the variable/tensor, if applicable.

getFullNameBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder

The full name of the variable/tensor, if applicable.

getFullShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of the full variable.

getFullShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef

Shape of the full variable.

getFullShape(int) - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Shape of the full variable.

getFullShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of the full variable.

getFullShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef

Shape of the full variable.

getFullShapeCount() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Shape of the full variable.

getFullShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of the full variable.

getFullShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef

Shape of the full variable.

getFullShapeList() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Shape of the full variable.

getFunc() - Method in class org.tensorflow.framework.AttrValue.Builder

"func" represents a function.

getFunc() - Method in class org.tensorflow.framework.AttrValue

"func" represents a function.

getFunc() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"func" represents a function.

getFunc(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

getFunc(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(attr)"

getFunc(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(attr)"

getFuncBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder

"func" represents a function.

getFuncBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

getFuncBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

getFuncCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

getFuncCount() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(attr)"

getFuncCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(attr)"

getFuncList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

getFuncList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(attr)"

getFuncList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(attr)"

getFuncOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder

"func" represents a function.

getFuncOrBuilder() - Method in class org.tensorflow.framework.AttrValue

"func" represents a function.

getFuncOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"func" represents a function.

getFuncOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

getFuncOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(attr)"

getFuncOrBuilder(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(attr)"

getFuncOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

getFuncOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(attr)"

getFuncOrBuilderList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(attr)"

getFunction(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

getFunction(int) - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.FunctionDef function = 1;

getFunction(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.FunctionDef function = 1;

getFunction(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get a SameDiff function instance given the name of the function

getFunctionBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

getFunctionBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

getFunctionCount() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

getFunctionCount() - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.FunctionDef function = 1;

getFunctionCount() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.FunctionDef function = 1;

getFunctionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

.tensorflow.FunctionDef function_def = 2;

getFunctionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

.tensorflow.FunctionDef function_def = 2;

getFunctionDef() - Method in interface tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder

.tensorflow.FunctionDef function_def = 2;

getFunctionDefBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

.tensorflow.FunctionDef function_def = 2;

getFunctionDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

.tensorflow.FunctionDef function_def = 2;

getFunctionDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

.tensorflow.FunctionDef function_def = 2;

getFunctionDefOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder

.tensorflow.FunctionDef function_def = 2;

getFunctionList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

getFunctionList() - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.FunctionDef function = 1;

getFunctionList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.FunctionDef function = 1;

getFunctionName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string functionName = 2;

getFunctionName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

string functionName = 2;

getFunctionName() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

string functionName = 2;

getFunctionName() - Method in class org.tensorflow.framework.GradientDef.Builder

The function name.

getFunctionName() - Method in class org.tensorflow.framework.GradientDef

The function name.

getFunctionName() - Method in interface org.tensorflow.framework.GradientDefOrBuilder

The function name.

getFunctionNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string functionName = 2;

getFunctionNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

string functionName = 2;

getFunctionNameBytes() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

string functionName = 2;

getFunctionNameBytes() - Method in class org.tensorflow.framework.GradientDef.Builder

The function name.

getFunctionNameBytes() - Method in class org.tensorflow.framework.GradientDef

The function name.

getFunctionNameBytes() - Method in interface org.tensorflow.framework.GradientDefOrBuilder

The function name.

getFunctionOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Function optimizations (default is ON).

getFunctionOptimization() - Method in class org.tensorflow.framework.RewriterConfig

Function optimizations (default is ON).

getFunctionOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Function optimizations (default is ON).

getFunctionOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Function optimizations (default is ON).

getFunctionOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig

Function optimizations (default is ON).

getFunctionOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Function optimizations (default is ON).

getFunctionOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

getFunctionOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.FunctionDef function = 1;

getFunctionOrBuilder(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.FunctionDef function = 1;

getFunctionOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

getFunctionOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.FunctionDef function = 1;

getFunctionOrBuilderList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.FunctionDef function = 1;

getFunctions(int) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

getFunctions(int) - Method in class onnx.Onnx.ModelProto

A list of function protos local to the model.

getFunctions(int) - Method in interface onnx.Onnx.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctions(int) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

getFunctions(int) - Method in class onnx.OnnxMl.ModelProto

A list of function protos local to the model.

getFunctions(int) - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctions(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

getFunctions(int) - Method in class onnx.OnnxOperators.OperatorSetProto

The functions specified by this operator set.

getFunctions(int) - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The functions specified by this operator set.

getFunctionsBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

getFunctionsBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

getFunctionsBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

getFunctionsBuilderList() - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

getFunctionsBuilderList() - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

getFunctionsBuilderList() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

getFunctionsCount() - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

getFunctionsCount() - Method in class onnx.Onnx.ModelProto

A list of function protos local to the model.

getFunctionsCount() - Method in interface onnx.Onnx.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctionsCount() - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

getFunctionsCount() - Method in class onnx.OnnxMl.ModelProto

A list of function protos local to the model.

getFunctionsCount() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctionsCount() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

getFunctionsCount() - Method in class onnx.OnnxOperators.OperatorSetProto

The functions specified by this operator set.

getFunctionsCount() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The functions specified by this operator set.

getFunctionsList() - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

getFunctionsList() - Method in class onnx.Onnx.ModelProto

A list of function protos local to the model.

getFunctionsList() - Method in interface onnx.Onnx.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctionsList() - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

getFunctionsList() - Method in class onnx.OnnxMl.ModelProto

A list of function protos local to the model.

getFunctionsList() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctionsList() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

getFunctionsList() - Method in class onnx.OnnxOperators.OperatorSetProto

The functions specified by this operator set.

getFunctionsList() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The functions specified by this operator set.

getFunctionsOrBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

getFunctionsOrBuilder(int) - Method in class onnx.Onnx.ModelProto

A list of function protos local to the model.

getFunctionsOrBuilder(int) - Method in interface onnx.Onnx.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctionsOrBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

getFunctionsOrBuilder(int) - Method in class onnx.OnnxMl.ModelProto

A list of function protos local to the model.

getFunctionsOrBuilder(int) - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctionsOrBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

getFunctionsOrBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto

The functions specified by this operator set.

getFunctionsOrBuilder(int) - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The functions specified by this operator set.

getFunctionsOrBuilderList() - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

getFunctionsOrBuilderList() - Method in class onnx.Onnx.ModelProto

A list of function protos local to the model.

getFunctionsOrBuilderList() - Method in interface onnx.Onnx.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctionsOrBuilderList() - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

getFunctionsOrBuilderList() - Method in class onnx.OnnxMl.ModelProto

A list of function protos local to the model.

getFunctionsOrBuilderList() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

A list of function protos local to the model.

getFunctionsOrBuilderList() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

getFunctionsOrBuilderList() - Method in class onnx.OnnxOperators.OperatorSetProto

The functions specified by this operator set.

getFunctionsOrBuilderList() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The functions specified by this operator set.

getG() - Method in class onnx.Onnx.AttributeProto.Builder

graph

getG() - Method in class onnx.Onnx.AttributeProto

graph

getG() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

graph

getG() - Method in class onnx.OnnxMl.AttributeProto.Builder

graph

getG() - Method in class onnx.OnnxMl.AttributeProto

graph

getG() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

graph

getGBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

graph

getGBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

graph

getGenerationId() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getGenerationId() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

getGenerationId() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

getGenerationId() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

getGenerationId() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns current generation Id

getGlobalJitLevel() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

getGlobalJitLevel() - Method in class org.tensorflow.framework.OptimizerOptions

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

getGlobalJitLevel() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

getGlobalJitLevelValue() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

getGlobalJitLevelValue() - Method in class org.tensorflow.framework.OptimizerOptions

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

getGlobalJitLevelValue() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

getGlobalName() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

The global name of the threadpool.

getGlobalName() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

The global name of the threadpool.

getGlobalName() - Method in interface org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder

The global name of the threadpool.

getGlobalNameBytes() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

The global name of the threadpool.

getGlobalNameBytes() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

The global name of the threadpool.

getGlobalNameBytes() - Method in interface org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder

The global name of the threadpool.

getGlobalStep() - Method in class org.tensorflow.framework.DebugOptions.Builder

Caller-specified global step count.

getGlobalStep() - Method in class org.tensorflow.framework.DebugOptions

Caller-specified global step count.

getGlobalStep() - Method in interface org.tensorflow.framework.DebugOptionsOrBuilder

Caller-specified global step count.

getGOrBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

graph

getGOrBuilder() - Method in class onnx.Onnx.AttributeProto

graph

getGOrBuilder() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

graph

getGOrBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

graph

getGOrBuilder() - Method in class onnx.OnnxMl.AttributeProto

graph

getGOrBuilder() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

graph

getGpuOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all GPUs.

getGpuOptions() - Method in class org.tensorflow.framework.ConfigProto

Options that apply to all GPUs.

getGpuOptions() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Options that apply to all GPUs.

getGpuOptionsBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all GPUs.

getGpuOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all GPUs.

getGpuOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto

Options that apply to all GPUs.

getGpuOptionsOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Options that apply to all GPUs.

getGPUs() - Method in interface org.nd4j.systeminfo.GPUInfoProvider

getGradForVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get the gradient for the variable with the specified name.
The gradient variable is the variable that represents the derivative of the loss function with respect to the output of this variable.

getGradient() - Method in class org.nd4j.autodiff.samediff.SDVariable

The gradient variable is the variable that represents the derivative of the loss function with respect to the output of this variable.

getGradient(double, int, long[]) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad

getGradient(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

getGradient(int) - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.GradientDef gradient = 2;

getGradient(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.GradientDef gradient = 2;

getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad

Gets feature specific learning rates Adagrad keeps a history of gradients being passed in.

getGradient(INDArray, int, long[]) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad

getGradientBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

getGradientBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

getGradientCount() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

getGradientCount() - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.GradientDef gradient = 2;

getGradientCount() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.GradientDef gradient = 2;

getGradientFunc() - Method in class org.tensorflow.framework.GradientDef.Builder

The gradient function's name.

getGradientFunc() - Method in class org.tensorflow.framework.GradientDef

The gradient function's name.

getGradientFunc() - Method in interface org.tensorflow.framework.GradientDefOrBuilder

The gradient function's name.

getGradientFuncBytes() - Method in class org.tensorflow.framework.GradientDef.Builder

The gradient function's name.

getGradientFuncBytes() - Method in class org.tensorflow.framework.GradientDef

The gradient function's name.

getGradientFuncBytes() - Method in interface org.tensorflow.framework.GradientDefOrBuilder

The gradient function's name.

getGradientList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

getGradientList() - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.GradientDef gradient = 2;

getGradientList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.GradientDef gradient = 2;

getGradientOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

getGradientOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.GradientDef gradient = 2;

getGradientOrBuilder(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.GradientDef gradient = 2;

getGradientOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

getGradientOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary

repeated .tensorflow.GradientDef gradient = 2;

getGradientOrBuilderList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder

repeated .tensorflow.GradientDef gradient = 2;

getGradPlaceholderName() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

getGraph() - Method in class onnx.Onnx.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

getGraph() - Method in class onnx.Onnx.ModelProto

The parameterized graph that is evaluated to execute the model.

getGraph() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The parameterized graph that is evaluated to execute the model.

getGraph() - Method in class onnx.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

getGraph() - Method in class onnx.OnnxMl.ModelProto

The parameterized graph that is evaluated to execute the model.

getGraph() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The parameterized graph that is evaluated to execute the model.

getGraphBuilder() - Method in class onnx.Onnx.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

getGraphBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

getGraphDef() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The initial graph definition.

getGraphDef() - Method in class org.tensorflow.distruntime.CreateSessionRequest

The initial graph definition.

getGraphDef() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder

The initial graph definition.

getGraphDef() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The nodes to be added to the session's graph.

getGraphDef() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

REQUIRED: The nodes to be added to the session's graph.

getGraphDef() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder

REQUIRED: The nodes to be added to the session's graph.

getGraphDef() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

getGraphDef() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

getGraphDef() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

getGraphDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

GraphDef.

getGraphDef() - Method in class org.tensorflow.framework.MetaGraphDef

GraphDef.

getGraphDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

GraphDef.

getGraphDefBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The initial graph definition.

getGraphDefBuilder() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The nodes to be added to the session's graph.

getGraphDefBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

getGraphDefBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

GraphDef.

getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The initial graph definition.

getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest

The initial graph definition.

getGraphDefOrBuilder() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder

The initial graph definition.

getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The nodes to be added to the session's graph.

getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

REQUIRED: The nodes to be added to the session's graph.

getGraphDefOrBuilder() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder

REQUIRED: The nodes to be added to the session's graph.

getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

getGraphDefOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

getGraphDefOrBuilder() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

getGraphDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

GraphDef.

getGraphDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef

GraphDef.

getGraphDefOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

GraphDef.

getGraphHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandle() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandle() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

If the registration succeeds, returns an opaque graph_handle to the master.

getGraphHandle() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

If the registration succeeds, returns an opaque graph_handle to the master.

getGraphHandle() - Method in interface org.tensorflow.distruntime.RegisterGraphResponseOrBuilder

If the registration succeeds, returns an opaque graph_handle to the master.

getGraphHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandle() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandleBytes() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandleBytes() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandleBytes() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandleBytes() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

If the registration succeeds, returns an opaque graph_handle to the master.

getGraphHandleBytes() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

If the registration succeeds, returns an opaque graph_handle to the master.

getGraphHandleBytes() - Method in interface org.tensorflow.distruntime.RegisterGraphResponseOrBuilder

If the registration succeeds, returns an opaque graph_handle to the master.

getGraphHandleBytes() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandleBytes() - Method in class org.tensorflow.distruntime.RunGraphRequest

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphHandleBytes() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

getGraphInputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

getGraphInputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo

Input Node parameters of transferred graph

getGraphInputNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

Input Node parameters of transferred graph

getGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

getGraphInputNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

getGraphInputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

getGraphInputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo

Input Node parameters of transferred graph

getGraphInputNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

Input Node parameters of transferred graph

getGraphInputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

getGraphInputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo

Input Node parameters of transferred graph

getGraphInputNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

Input Node parameters of transferred graph

getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo

Input Node parameters of transferred graph

getGraphInputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

Input Node parameters of transferred graph

getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo

Input Node parameters of transferred graph

getGraphInputNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

Input Node parameters of transferred graph

getGraphInputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph input node name

getGraphInputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Remote fused graph input node name

getGraphInputNodeName(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Remote fused graph input node name

getGraphInputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph input node name

getGraphInputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Remote fused graph input node name

getGraphInputNodeNameBytes(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Remote fused graph input node name

getGraphInputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph input node name

getGraphInputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Remote fused graph input node name

getGraphInputNodeNameCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Remote fused graph input node name

getGraphInputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph input node name

getGraphInputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Remote fused graph input node name

getGraphInputNodeNameList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Remote fused graph input node name

getGraphKey() - Method in class org.tensorflow.distruntime.StepSequence.Builder

int64 graph_key = 1;

getGraphKey() - Method in class org.tensorflow.distruntime.StepSequence

int64 graph_key = 1;

getGraphKey() - Method in interface org.tensorflow.distruntime.StepSequenceOrBuilder

int64 graph_key = 1;

getGraphKey(int) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

repeated int64 graph_key = 1;

getGraphKey(int) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

repeated int64 graph_key = 1;

getGraphKey(int) - Method in interface org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder

repeated int64 graph_key = 1;

getGraphKeyCount() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

repeated int64 graph_key = 1;

getGraphKeyCount() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

repeated int64 graph_key = 1;

getGraphKeyCount() - Method in interface org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder

repeated int64 graph_key = 1;

getGraphKeyList() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

repeated int64 graph_key = 1;

getGraphKeyList() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

repeated int64 graph_key = 1;

getGraphKeyList() - Method in interface org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder

repeated int64 graph_key = 1;

getGraphOpName() - Method in class org.tensorflow.framework.ApiDef.Builder

Name of the op (in the OpDef) to specify the API for.

getGraphOpName() - Method in class org.tensorflow.framework.ApiDef

Name of the op (in the OpDef) to specify the API for.

getGraphOpName() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

Name of the op (in the OpDef) to specify the API for.

getGraphOpNameBytes() - Method in class org.tensorflow.framework.ApiDef.Builder

Name of the op (in the OpDef) to specify the API for.

getGraphOpNameBytes() - Method in class org.tensorflow.framework.ApiDef

Name of the op (in the OpDef) to specify the API for.

getGraphOpNameBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

Name of the op (in the OpDef) to specify the API for.

getGraphOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Configuration options for the session in which this graph was created.

getGraphOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Configuration options for the session in which this graph was created.

getGraphOptions() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Configuration options for the session in which this graph was created.

getGraphOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all graphs.

getGraphOptions() - Method in class org.tensorflow.framework.ConfigProto

Options that apply to all graphs.

getGraphOptions() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Options that apply to all graphs.

getGraphOptionsBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Configuration options for the session in which this graph was created.

getGraphOptionsBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all graphs.

getGraphOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Configuration options for the session in which this graph was created.

getGraphOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Configuration options for the session in which this graph was created.

getGraphOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Configuration options for the session in which this graph was created.

getGraphOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all graphs.

getGraphOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto

Options that apply to all graphs.

getGraphOptionsOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Options that apply to all graphs.

getGraphOrBuilder() - Method in class onnx.Onnx.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

getGraphOrBuilder() - Method in class onnx.Onnx.ModelProto

The parameterized graph that is evaluated to execute the model.

getGraphOrBuilder() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The parameterized graph that is evaluated to execute the model.

getGraphOrBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

getGraphOrBuilder() - Method in class onnx.OnnxMl.ModelProto

The parameterized graph that is evaluated to execute the model.

getGraphOrBuilder() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The parameterized graph that is evaluated to execute the model.

getGraphOutputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

getGraphOutputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph output node name

getGraphOutputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Remote fused graph output node name

getGraphOutputNodeName(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Remote fused graph output node name

getGraphOutputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph output node name

getGraphOutputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Remote fused graph output node name

getGraphOutputNodeNameBytes(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Remote fused graph output node name

getGraphOutputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph output node name

getGraphOutputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Remote fused graph output node name

getGraphOutputNodeNameCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Remote fused graph output node name

getGraphOutputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph output node name

getGraphOutputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Remote fused graph output node name

getGraphOutputNodeNameList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Remote fused graph output node name

getGraphs(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

getGraphs(int) - Method in class onnx.Onnx.AttributeProto

list of graph

getGraphs(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of graph

getGraphs(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

getGraphs(int) - Method in class onnx.OnnxMl.AttributeProto

list of graph

getGraphs(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of graph

getGraphsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

getGraphsBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

getGraphsBuilderList() - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

getGraphsBuilderList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

getGraphsCount() - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

getGraphsCount() - Method in class onnx.Onnx.AttributeProto

list of graph

getGraphsCount() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of graph

getGraphsCount() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

getGraphsCount() - Method in class onnx.OnnxMl.AttributeProto

list of graph

getGraphsCount() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of graph

getGraphsList() - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

getGraphsList() - Method in class onnx.Onnx.AttributeProto

list of graph

getGraphsList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of graph

getGraphsList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

getGraphsList() - Method in class onnx.OnnxMl.AttributeProto

list of graph

getGraphsList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of graph

getGraphsOrBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

getGraphsOrBuilder(int) - Method in class onnx.Onnx.AttributeProto

list of graph

getGraphsOrBuilder(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of graph

getGraphsOrBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

getGraphsOrBuilder(int) - Method in class onnx.OnnxMl.AttributeProto

list of graph

getGraphsOrBuilder(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of graph

getGraphsOrBuilderList() - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

getGraphsOrBuilderList() - Method in class onnx.Onnx.AttributeProto

list of graph

getGraphsOrBuilderList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of graph

getGraphsOrBuilderList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

getGraphsOrBuilderList() - Method in class onnx.OnnxMl.AttributeProto

list of graph

getGraphsOrBuilderList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of graph

getGraphVersion() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

The initial version number for the graph, to be used in the next call to ExtendSession.

getGraphVersion() - Method in class org.tensorflow.distruntime.CreateSessionResponse

The initial version number for the graph, to be used in the next call to ExtendSession.

getGraphVersion() - Method in interface org.tensorflow.distruntime.CreateSessionResponseOrBuilder

The initial version number for the graph, to be used in the next call to ExtendSession.

getGridDescriptor() - Method in interface org.nd4j.linalg.api.ops.GridOp

getGridDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

getGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

int32 group_key = 1;

getGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

int32 group_key = 1;

getGroupKey() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder

int32 group_key = 1;

getGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

int32 group_key = 1;

getGroupKey() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

int32 group_key = 1;

getGroupKey() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

int32 group_key = 1;

getGroupKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 group_key = 5;

getGroupKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

int32 group_key = 5;

getGroupKey() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

int32 group_key = 5;

getGroupLimit(int) - Method in interface org.nd4j.linalg.factory.Environment

This method returns current group limit

getGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

int32 group_size = 2;

getGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

int32 group_size = 2;

getGroupSize() - Method in interface org.tensorflow.distruntime.CompleteGroupRequestOrBuilder

int32 group_size = 2;

getGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

int32 group_size = 2;

getGroupSize() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

int32 group_size = 2;

getGroupSize() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

int32 group_size = 2;

getGroupSize() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 group_size = 6;

getGroupSize() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

int32 group_size = 6;

getGroupSize() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

int32 group_size = 6;

getHalfVal(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For half values (tensorflow compatibility)

getHalfVal(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For half values (tensorflow compatibility)

getHalfVal(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For half values (tensorflow compatibility)

getHalfVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_HALF, DT_BFLOAT16.

getHalfVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_HALF, DT_BFLOAT16.

getHalfVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_HALF, DT_BFLOAT16.

getHalfValCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For half values (tensorflow compatibility)

getHalfValCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For half values (tensorflow compatibility)

getHalfValCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For half values (tensorflow compatibility)

getHalfValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_HALF, DT_BFLOAT16.

getHalfValCount() - Method in class org.tensorflow.framework.TensorProto

DT_HALF, DT_BFLOAT16.

getHalfValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_HALF, DT_BFLOAT16.

getHalfValList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For half values (tensorflow compatibility)

getHalfValList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For half values (tensorflow compatibility)

getHalfValList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For half values (tensorflow compatibility)

getHalfValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_HALF, DT_BFLOAT16.

getHalfValList() - Method in class org.tensorflow.framework.TensorProto

DT_HALF, DT_BFLOAT16.

getHalfValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_HALF, DT_BFLOAT16.

getHandle() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

A handle to the created callable.

getHandle() - Method in class org.tensorflow.distruntime.MakeCallableResponse

A handle to the created callable.

getHandle() - Method in interface org.tensorflow.distruntime.MakeCallableResponseOrBuilder

A handle to the created callable.

getHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

getHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

getHandle() - Method in interface org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

getHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

getHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

getHandle() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

getHandle() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

Handle describing the feeds and fetches of the step.

getHandle() - Method in class org.tensorflow.framework.MemoryLogStep

Handle describing the feeds and fetches of the step.

getHandle() - Method in interface org.tensorflow.framework.MemoryLogStepOrBuilder

Handle describing the feeds and fetches of the step.

getHandleBytes() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

Handle describing the feeds and fetches of the step.

getHandleBytes() - Method in class org.tensorflow.framework.MemoryLogStep

Handle describing the feeds and fetches of the step.

getHandleBytes() - Method in interface org.tensorflow.framework.MemoryLogStepOrBuilder

Handle describing the feeds and fetches of the step.

getHandleToDecref() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

getHandleToDecref() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

getHandleToDecref() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

getHandleToDecrefBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

getHandleToDecrefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

getHandleToDecrefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

getHandleToDecrefOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

getHasControlFlow() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Deprecated.

tensorflow.RegisterGraphRequest.has_control_flow is deprecated. See tensorflow/core/protobuf/worker.proto;l=117

getHasControlFlow() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Deprecated.

tensorflow.RegisterGraphRequest.has_control_flow is deprecated. See tensorflow/core/protobuf/worker.proto;l=117

getHasControlFlow() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Deprecated.

tensorflow.RegisterGraphRequest.has_control_flow is deprecated. See tensorflow/core/protobuf/worker.proto;l=117

getHashCode() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Hash code for the type of the resource.

getHashCode() - Method in class org.tensorflow.framework.ResourceHandleProto

Hash code for the type of the resource.

getHashCode() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder

Hash code for the type of the resource.

getHasLengthCase() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

getHasLengthCase() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

getHasLengthCase() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder

getHasMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

For type == "int", this is a minimum value.

getHasMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef

For type == "int", this is a minimum value.

getHasMinimum() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

For type == "int", this is a minimum value.

getHasSingleReference() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Set if this tensor only has one remaining reference

getHasSingleReference() - Method in class org.tensorflow.framework.AllocationDescription

Set if this tensor only has one remaining reference

getHasSingleReference() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder

Set if this tensor only has one remaining reference

getHeight() - Method in class org.tensorflow.framework.Summary.Image.Builder

Dimensions of the image.

getHeight() - Method in class org.tensorflow.framework.Summary.Image

Dimensions of the image.

getHeight() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder

Dimensions of the image.

getHisto() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.HistogramProto histo = 5;

getHisto() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.HistogramProto histo = 5;

getHisto() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.HistogramProto histo = 5;

getHistoBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.HistogramProto histo = 5;

getHistoOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.HistogramProto histo = 5;

getHistoOrBuilder() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.HistogramProto histo = 5;

getHistoOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.HistogramProto histo = 5;

getHost() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

The host name on which a source code file is located.

getHost() - Method in class org.tensorflow.framework.DebuggedSourceFile

The host name on which a source code file is located.

getHost() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

The host name on which a source code file is located.

getHostBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

The host name on which a source code file is located.

getHostBytes() - Method in class org.tensorflow.framework.DebuggedSourceFile

The host name on which a source code file is located.

getHostBytes() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

The host name on which a source code file is located.

getHostMemoryArg(int) - Method in class org.tensorflow.framework.KernelDef.Builder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArg(int) - Method in class org.tensorflow.framework.KernelDef

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArg(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArgBytes(int) - Method in class org.tensorflow.framework.KernelDef.Builder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArgBytes(int) - Method in class org.tensorflow.framework.KernelDef

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArgBytes(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArgCount() - Method in class org.tensorflow.framework.KernelDef.Builder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArgCount() - Method in class org.tensorflow.framework.KernelDef

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArgCount() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArgList() - Method in class org.tensorflow.framework.KernelDef.Builder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArgList() - Method in class org.tensorflow.framework.KernelDef

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostMemoryArgList() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

getHostOffset() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns current host memory offset within workspace

getHostTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Deprecated.

tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=50

getHostTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node

Deprecated.

tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=50

getHostTempMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Deprecated.

tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=50

getI() - Method in class onnx.Onnx.AttributeProto.Builder

int

getI() - Method in class onnx.Onnx.AttributeProto

int

getI() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

int

getI() - Method in class onnx.OnnxMl.AttributeProto.Builder

int

getI() - Method in class onnx.OnnxMl.AttributeProto

int

getI() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

int

getI() - Method in class org.tensorflow.framework.AttrValue.Builder

"int"

getI() - Method in class org.tensorflow.framework.AttrValue

"int"

getI() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"int"

getI(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(int)"

getI(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(int)"

getI(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(int)"

getIArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp

getIArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

getIArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

getIArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

getICount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(int)"

getICount() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(int)"

getICount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(int)"

getId() - Method in class org.nd4j.autodiff.samediff.config.SDValue

getId() - Method in interface org.nd4j.autodiff.samediff.internal.IDependeeGroup

getId() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method returns Id of this workspace

getId() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns Id of this workspace

getId() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getId() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

A unique ID for the INDArray object instance.

getId() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The id of the node.

getId() - Method in class org.tensorflow.framework.CostGraphDef.Node

The id of the node.

getId() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

The id of the node.

getId() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

A unique identifier for the operation.

getId() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

A unique identifier for the operation.

getId() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

A unique identifier for the operation.

getIList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(int)"

getIList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(int)"

getIList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(int)"

getILossFunction() - Method in enum org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

getImage() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Image image = 4;

getImage() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.Summary.Image image = 4;

getImage() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.Summary.Image image = 4;

getImageBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Image image = 4;

getImageOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Image image = 4;

getImageOrBuilder() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.Summary.Image image = 4;

getImageOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.Summary.Image image = 4;

getInArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArg(int) - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArg(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgCount() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgCount() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgList() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getInArgOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

getIncarnation() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

A device is assigned a global unique number each time it is initialized.

getIncarnation() - Method in class org.tensorflow.framework.DeviceAttributes

A device is assigned a global unique number each time it is initialized.

getIncarnation() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

A device is assigned a global unique number each time it is initialized.

getINDArrayType() - Method in class org.nd4j.linalg.api.concurrency.BasicDistributedINDArray

getINDArrayType() - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray

This method returns ArrayType for this instance

getIndex() - Method in enum org.nd4j.enums.CoordinateTransformationMode

getIndex() - Method in enum org.nd4j.enums.NearestMode

getIndex() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Index of the output being set.

getIndex() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

Index of the output being set.

getIndex() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder

Index of the output being set.

getIndexingArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getIndexingArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getIndexOverrides() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

Deprecated.

getIndexOverrides() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

Deprecated.

getIndexOverrides() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

Deprecated.

getIndexOverridesCount() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

getIndexOverridesCount() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

getIndexOverridesCount() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

map<int64, int64> indexOverrides = 5;

getIndexOverridesMap() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

map<int64, int64> indexOverrides = 5;

getIndexOverridesMap() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

map<int64, int64> indexOverrides = 5;

getIndexOverridesMap() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

map<int64, int64> indexOverrides = 5;

getIndexOverridesOrDefault(long, long) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

map<int64, int64> indexOverrides = 5;

getIndexOverridesOrDefault(long, long) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

map<int64, int64> indexOverrides = 5;

getIndexOverridesOrDefault(long, long) - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

map<int64, int64> indexOverrides = 5;

getIndexOverridesOrThrow(long) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

map<int64, int64> indexOverrides = 5;

getIndexOverridesOrThrow(long) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

map<int64, int64> indexOverrides = 5;

getIndexOverridesOrThrow(long) - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

map<int64, int64> indexOverrides = 5;

getIndices() - Method in class onnx.Onnx.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

getIndices() - Method in class onnx.Onnx.SparseTensorProto

The indices of the non-default values, which may be stored in one of two formats.

getIndices() - Method in interface onnx.Onnx.SparseTensorProtoOrBuilder

The indices of the non-default values, which may be stored in one of two formats.

getIndices() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

getIndices() - Method in class onnx.OnnxMl.SparseTensorProto

The indices of the non-default values, which may be stored in one of two formats.

getIndices() - Method in interface onnx.OnnxMl.SparseTensorProtoOrBuilder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesBuilder() - Method in class onnx.Onnx.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesBuilder() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesOrBuilder() - Method in class onnx.Onnx.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesOrBuilder() - Method in class onnx.Onnx.SparseTensorProto

The indices of the non-default values, which may be stored in one of two formats.

getIndicesOrBuilder() - Method in interface onnx.Onnx.SparseTensorProtoOrBuilder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesOrBuilder() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesOrBuilder() - Method in class onnx.OnnxMl.SparseTensorProto

The indices of the non-default values, which may be stored in one of two formats.

getIndicesOrBuilder() - Method in interface onnx.OnnxMl.SparseTensorProtoOrBuilder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The indices Tensor must have dtype int64 and shape [?, ?].

getIndicesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

The indices Tensor must have dtype int64 and shape [?, ?].

getIndicesTensorName() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder

The indices Tensor must have dtype int64 and shape [?, ?].

getIndicesTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The indices Tensor must have dtype int64 and shape [?, ?].

getIndicesTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

The indices Tensor must have dtype int64 and shape [?, ?].

getIndicesTensorNameBytes() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder

The indices Tensor must have dtype int64 and shape [?, ?].

getInferenceFactory() - Static method in class org.nd4j.autodiff.samediff.SameDiff

Get the inference factory

getInferShapes() - Method in class org.tensorflow.framework.GraphOptions.Builder

Annotate each Node with Op output shape data, to the extent it can be statically inferred.

getInferShapes() - Method in class org.tensorflow.framework.GraphOptions

Annotate each Node with Op output shape data, to the extent it can be statically inferred.

getInferShapes() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

Annotate each Node with Op output shape data, to the extent it can be statically inferred.

getInitialBlockSize() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns number of bytes for first block of circular workspace.

getInitialization() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitialization() - Method in class onnx.Onnx.TrainingInfoProto

This field describes a graph to compute the initial tensors upon starting the training process.

getInitialization() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitialization() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitialization() - Method in class onnx.OnnxMl.TrainingInfoProto

This field describes a graph to compute the initial tensors upon starting the training process.

getInitialization() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationBinding(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBinding(int) - Method in class onnx.Onnx.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBinding(int) - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBinding(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBinding(int) - Method in class onnx.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBinding(int) - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingBuilder(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingBuilder(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingBuilderList() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingBuilderList() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingCount() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingCount() - Method in class onnx.Onnx.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingCount() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingCount() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingCount() - Method in class onnx.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingCount() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingList() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingList() - Method in class onnx.Onnx.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingList() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingList() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingList() - Method in class onnx.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingList() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilder(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilder(int) - Method in class onnx.Onnx.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilder(int) - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilder(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilder(int) - Method in class onnx.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilder(int) - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilderList() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilderList() - Method in class onnx.Onnx.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilderList() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilderList() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilderList() - Method in class onnx.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilderList() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBuilder() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationBuilder() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationOrBuilder() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationOrBuilder() - Method in class onnx.Onnx.TrainingInfoProto

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationOrBuilder() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationOrBuilder() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationOrBuilder() - Method in class onnx.OnnxMl.TrainingInfoProto

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationOrBuilder() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializer(int) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializer(int) - Method in class onnx.Onnx.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializer(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializer(int) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializer(int) - Method in class onnx.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializer(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerCount() - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerCount() - Method in class onnx.Onnx.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerCount() - Method in interface onnx.Onnx.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerCount() - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerCount() - Method in class onnx.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerCount() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerList() - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerList() - Method in class onnx.Onnx.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerList() - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerList() - Method in class onnx.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerName() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the initializer op.

getInitializerName() - Method in class org.tensorflow.framework.VariableDef

Name of the initializer op.

getInitializerName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Name of the initializer op.

getInitializerNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the initializer op.

getInitializerNameBytes() - Method in class org.tensorflow.framework.VariableDef

Name of the initializer op.

getInitializerNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Name of the initializer op.

getInitializerOrBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilder(int) - Method in class onnx.Onnx.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilder(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilder(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilderList() - Method in class onnx.Onnx.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilderList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilderList() - Method in class onnx.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilderList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitialValueName() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the tensor holding the variable's initial value.

getInitialValueName() - Method in class org.tensorflow.framework.VariableDef

Name of the tensor holding the variable's initial value.

getInitialValueName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Name of the tensor holding the variable's initial value.

getInitialValueNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the tensor holding the variable's initial value.

getInitialValueNameBytes() - Method in class org.tensorflow.framework.VariableDef

Name of the tensor holding the variable's initial value.

getInitialValueNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Name of the tensor holding the variable's initial value.

getInput(int) - Method in class onnx.Onnx.FunctionProto.Builder

The inputs and outputs of the function.

getInput(int) - Method in class onnx.Onnx.FunctionProto

The inputs and outputs of the function.

getInput(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The inputs and outputs of the function.

getInput(int) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

getInput(int) - Method in class onnx.Onnx.GraphProto

The inputs and outputs of the graph.

getInput(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInput(int) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

getInput(int) - Method in class onnx.Onnx.NodeProto

namespace Value

getInput(int) - Method in interface onnx.Onnx.NodeProtoOrBuilder

namespace Value

getInput(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

The inputs and outputs of the function.

getInput(int) - Method in class onnx.OnnxMl.FunctionProto

The inputs and outputs of the function.

getInput(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The inputs and outputs of the function.

getInput(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInput(int) - Method in class onnx.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInput(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInput(int) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

getInput(int) - Method in class onnx.OnnxMl.NodeProto

namespace Value

getInput(int) - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

namespace Value

getInput(int) - Method in class org.tensorflow.framework.NodeDef.Builder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInput(int) - Method in class org.tensorflow.framework.NodeDef

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInput(int) - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

getInputArg(int) - Method in class org.tensorflow.framework.OpDef

Description of the input(s).

getInputArg(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the input(s).

getInputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

getInputArgBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

getInputArgCount() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

getInputArgCount() - Method in class org.tensorflow.framework.OpDef

Description of the input(s).

getInputArgCount() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the input(s).

getInputArgList() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

getInputArgList() - Method in class org.tensorflow.framework.OpDef

Description of the input(s).

getInputArgList() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the input(s).

getInputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

getInputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef

Description of the input(s).

getInputArgOrBuilder(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the input(s).

getInputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

getInputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef

Description of the input(s).

getInputArgOrBuilderList() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the input(s).

getInputArgument(int) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.BaseOp

getInputArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp

getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

getInputArray(int) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

getInputArray(int) - Method in interface org.nd4j.linalg.api.ops.OpContext

getInputArrays() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

getInputArrays() - Method in interface org.nd4j.linalg.api.ops.OpContext

This method returns List of input arrays defined within this context

getInputBooleanName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputBooleanName = 11;

getInputBooleanName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputBooleanName = 11;

getInputBooleanName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputBooleanName = 11;

getInputBooleanNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputBooleanName = 11;

getInputBooleanNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputBooleanName = 11;

getInputBooleanNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputBooleanName = 11;

getInputBooleanNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputBooleanName = 11;

getInputBooleanNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputBooleanName = 11;

getInputBooleanNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputBooleanName = 11;

getInputBooleanNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputBooleanName = 11;

getInputBooleanNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputBooleanName = 11;

getInputBooleanNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputBooleanName = 11;

getInputBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

getInputBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

getInputBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputBytes(int) - Method in class onnx.Onnx.FunctionProto.Builder

The inputs and outputs of the function.

getInputBytes(int) - Method in class onnx.Onnx.FunctionProto

The inputs and outputs of the function.

getInputBytes(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The inputs and outputs of the function.

getInputBytes(int) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

getInputBytes(int) - Method in class onnx.Onnx.NodeProto

namespace Value

getInputBytes(int) - Method in interface onnx.Onnx.NodeProtoOrBuilder

namespace Value

getInputBytes(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

The inputs and outputs of the function.

getInputBytes(int) - Method in class onnx.OnnxMl.FunctionProto

The inputs and outputs of the function.

getInputBytes(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The inputs and outputs of the function.

getInputBytes(int) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

getInputBytes(int) - Method in class onnx.OnnxMl.NodeProto

namespace Value

getInputBytes(int) - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

namespace Value

getInputBytes(int) - Method in class org.tensorflow.framework.NodeDef.Builder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputBytes(int) - Method in class org.tensorflow.framework.NodeDef

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputBytes(int) - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputCount() - Method in class onnx.Onnx.FunctionProto.Builder

The inputs and outputs of the function.

getInputCount() - Method in class onnx.Onnx.FunctionProto

The inputs and outputs of the function.

getInputCount() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The inputs and outputs of the function.

getInputCount() - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

getInputCount() - Method in class onnx.Onnx.GraphProto

The inputs and outputs of the graph.

getInputCount() - Method in interface onnx.Onnx.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputCount() - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

getInputCount() - Method in class onnx.Onnx.NodeProto

namespace Value

getInputCount() - Method in interface onnx.Onnx.NodeProtoOrBuilder

namespace Value

getInputCount() - Method in class onnx.OnnxMl.FunctionProto.Builder

The inputs and outputs of the function.

getInputCount() - Method in class onnx.OnnxMl.FunctionProto

The inputs and outputs of the function.

getInputCount() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The inputs and outputs of the function.

getInputCount() - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputCount() - Method in class onnx.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInputCount() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputCount() - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

getInputCount() - Method in class onnx.OnnxMl.NodeProto

namespace Value

getInputCount() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

namespace Value

getInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 input_count = 6;

getInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

int32 input_count = 6;

getInputCount() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder

int32 input_count = 6;

getInputCount() - Method in class org.tensorflow.framework.NodeDef.Builder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputCount() - Method in class org.tensorflow.framework.NodeDef

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputCount() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputDataTypeName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDataTypeName = 15;

getInputDataTypeName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputDataTypeName = 15;

getInputDataTypeName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputDataTypeName = 15;

getInputDataTypeNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDataTypeName = 15;

getInputDataTypeNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputDataTypeName = 15;

getInputDataTypeNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputDataTypeName = 15;

getInputDataTypeNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDataTypeName = 15;

getInputDataTypeNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputDataTypeName = 15;

getInputDataTypeNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputDataTypeName = 15;

getInputDataTypeNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDataTypeName = 15;

getInputDataTypeNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputDataTypeName = 15;

getInputDataTypeNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputDataTypeName = 15;

getInputDoubleName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDoubleName = 9;

getInputDoubleName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputDoubleName = 9;

getInputDoubleName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputDoubleName = 9;

getInputDoubleNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDoubleName = 9;

getInputDoubleNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputDoubleName = 9;

getInputDoubleNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputDoubleName = 9;

getInputDoubleNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDoubleName = 9;

getInputDoubleNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputDoubleName = 9;

getInputDoubleNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputDoubleName = 9;

getInputDoubleNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDoubleName = 9;

getInputDoubleNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputDoubleName = 9;

getInputDoubleNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputDoubleName = 9;

getInputFloatName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputFloatName = 7;

getInputFloatName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputFloatName = 7;

getInputFloatName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputFloatName = 7;

getInputFloatNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputFloatName = 7;

getInputFloatNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputFloatName = 7;

getInputFloatNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputFloatName = 7;

getInputFloatNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputFloatName = 7;

getInputFloatNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputFloatName = 7;

getInputFloatNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputFloatName = 7;

getInputFloatNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputFloatName = 7;

getInputFloatNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputFloatName = 7;

getInputFloatNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputFloatName = 7;

getInputFrameworkOpName() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string inputFrameworkOpName = 3;

getInputFrameworkOpName() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

string inputFrameworkOpName = 3;

getInputFrameworkOpName() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

string inputFrameworkOpName = 3;

getInputFrameworkOpName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string inputFrameworkOpName = 20;

getInputFrameworkOpName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

string inputFrameworkOpName = 20;

getInputFrameworkOpName() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

string inputFrameworkOpName = 20;

getInputFrameworkOpNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string inputFrameworkOpName = 3;

getInputFrameworkOpNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

string inputFrameworkOpName = 3;

getInputFrameworkOpNameBytes() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

string inputFrameworkOpName = 3;

getInputFrameworkOpNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string inputFrameworkOpName = 20;

getInputFrameworkOpNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

string inputFrameworkOpName = 20;

getInputFrameworkOpNameBytes() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

string inputFrameworkOpName = 20;

getInputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfo(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoCount() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputInfoOrBuilderList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

getInputIntName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputIntName = 5;

getInputIntName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputIntName = 5;

getInputIntName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputIntName = 5;

getInputIntNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputIntName = 5;

getInputIntNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputIntName = 5;

getInputIntNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputIntName = 5;

getInputIntNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputIntName = 5;

getInputIntNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputIntName = 5;

getInputIntNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputIntName = 5;

getInputIntNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputIntName = 5;

getInputIntNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputIntName = 5;

getInputIntNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputIntName = 5;

getInputList() - Method in class onnx.Onnx.FunctionProto.Builder

The inputs and outputs of the function.

getInputList() - Method in class onnx.Onnx.FunctionProto

The inputs and outputs of the function.

getInputList() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The inputs and outputs of the function.

getInputList() - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

getInputList() - Method in class onnx.Onnx.GraphProto

The inputs and outputs of the graph.

getInputList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputList() - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

getInputList() - Method in class onnx.Onnx.NodeProto

namespace Value

getInputList() - Method in interface onnx.Onnx.NodeProtoOrBuilder

namespace Value

getInputList() - Method in class onnx.OnnxMl.FunctionProto.Builder

The inputs and outputs of the function.

getInputList() - Method in class onnx.OnnxMl.FunctionProto

The inputs and outputs of the function.

getInputList() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The inputs and outputs of the function.

getInputList() - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputList() - Method in class onnx.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInputList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputList() - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

getInputList() - Method in class onnx.OnnxMl.NodeProto

namespace Value

getInputList() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

namespace Value

getInputList() - Method in class org.tensorflow.framework.NodeDef.Builder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputList() - Method in class org.tensorflow.framework.NodeDef

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputList() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

getInputOrBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

getInputOrBuilder(int) - Method in class onnx.Onnx.GraphProto

The inputs and outputs of the graph.

getInputOrBuilder(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInputOrBuilder(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputOrBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

getInputOrBuilderList() - Method in class onnx.Onnx.GraphProto

The inputs and outputs of the graph.

getInputOrBuilderList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputOrBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputOrBuilderList() - Method in class onnx.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInputOrBuilderList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputs() - Method in class org.tensorflow.framework.SignatureDef.Builder

Deprecated.

getInputs() - Method in class org.tensorflow.framework.SignatureDef

Deprecated.

getInputs() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Deprecated.

getInputs(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputs(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputs(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsCount() - Method in class org.tensorflow.framework.SignatureDef.Builder

getInputsCount() - Method in class org.tensorflow.framework.SignatureDef

getInputsCount() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named input parameters.

getInputsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsCount() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsForOp() - Method in class org.nd4j.autodiff.samediff.internal.Variable

getInputsForOp(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns the name(s) of the inputs for the given function

getInputsList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsList() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsMap() - Method in class org.tensorflow.framework.SignatureDef.Builder

Named input parameters.

getInputsMap() - Method in class org.tensorflow.framework.SignatureDef

Named input parameters.

getInputsMap() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named input parameters.

getInputsOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsOrBuilder(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsOrBuilderList() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

getInputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named input parameters.

getInputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef

Named input parameters.

getInputsOrDefault(String, TensorInfo) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named input parameters.

getInputsOrThrow(String) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named input parameters.

getInputsOrThrow(String) - Method in class org.tensorflow.framework.SignatureDef

Named input parameters.

getInputsOrThrow(String) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named input parameters.

getInputStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Get the map of normalization statistics per input

getInputStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Get normalization statistics for a given input.

getInputsToOp() - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

getInputStringAttrName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputStringAttrName = 3;

getInputStringAttrName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputStringAttrName = 3;

getInputStringAttrName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputStringAttrName = 3;

getInputStringAttrNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputStringAttrName = 3;

getInputStringAttrNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputStringAttrName = 3;

getInputStringAttrNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputStringAttrName = 3;

getInputStringAttrNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputStringAttrName = 3;

getInputStringAttrNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputStringAttrName = 3;

getInputStringAttrNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputStringAttrName = 3;

getInputStringAttrNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputStringAttrName = 3;

getInputStringAttrNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputStringAttrName = 3;

getInputStringAttrNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputStringAttrName = 3;

getInputTensorName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputTensorName = 13;

getInputTensorName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputTensorName = 13;

getInputTensorName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputTensorName = 13;

getInputTensorNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputTensorName = 13;

getInputTensorNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputTensorName = 13;

getInputTensorNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputTensorName = 13;

getInputTensorNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputTensorName = 13;

getInputTensorNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputTensorName = 13;

getInputTensorNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputTensorName = 13;

getInputTensorNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputTensorName = 13;

getInputTensorNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string inputTensorName = 13;

getInputTensorNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string inputTensorName = 13;

getInputToOutput() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

Deprecated.

getInputToOutput() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

Deprecated.

getInputToOutput() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

Deprecated.

getInputToOutputCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

getInputToOutputCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

getInputToOutputCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

map<string, string> inputToOutput = 17;

getInputToOutputMap() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

map<string, string> inputToOutput = 17;

getInputToOutputMap() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

map<string, string> inputToOutput = 17;

getInputToOutputMap() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

map<string, string> inputToOutput = 17;

getInputToOutputOrDefault(String, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

map<string, string> inputToOutput = 17;

getInputToOutputOrDefault(String, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

map<string, string> inputToOutput = 17;

getInputToOutputOrDefault(String, String) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

map<string, string> inputToOutput = 17;

getInputToOutputOrThrow(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

map<string, string> inputToOutput = 17;

getInputToOutputOrThrow(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

map<string, string> inputToOutput = 17;

getInputToOutputOrThrow(String) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

map<string, string> inputToOutput = 17;

getInputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto inputValue = 8;

getInputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.TensorProto inputValue = 8;

getInputValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.TensorProto inputValue = 8;

getInputValueBuilder() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto inputValue = 8;

getInputValueOrBuilder() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto inputValue = 8;

getInputValueOrBuilder() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.TensorProto inputValue = 8;

getInputValueOrBuilder() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.TensorProto inputValue = 8;

getInputVariablesForOp(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get the input variable(s) for the specified differential function

getInstance() - Static method in class org.nd4j.context.Nd4jContext

getInstance() - Static method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

getInstance() - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Deprecated.

Use static methods - TFGraphMapper.importGraph(File) etc

getInstance() - Static method in class org.nd4j.linalg.api.memory.AllocationsTracker

getInstance() - Static method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker

getInstance() - Static method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Get the ndarray compressor singleton

getInstance() - Static method in class org.nd4j.linalg.heartbeat.Heartbeat

getInstance() - Static method in class org.nd4j.linalg.profiler.OpProfiler

getInstance(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

getInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 instance_key = 7;

getInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

int32 instance_key = 7;

getInstanceKey() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

int32 instance_key = 7;

getInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

int32 instance_key = 1;

getInstanceKey() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

int32 instance_key = 1;

getInstanceKey() - Method in interface org.tensorflow.distruntime.CompleteInstanceResponseOrBuilder

int32 instance_key = 1;

getInt(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getInt(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get an integer value at the specified indices.

getInt(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getInt(long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get the int at the specified index

getInt32Data(int) - Method in class onnx.Onnx.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in class onnx.Onnx.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in interface onnx.Onnx.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in class onnx.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in class onnx.OnnxMl.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in class onnx.Onnx.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in class onnx.Onnx.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in class onnx.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in class onnx.OnnxMl.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in class onnx.Onnx.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in class onnx.Onnx.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in class onnx.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in class onnx.OnnxMl.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Value() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

int32 int32Value = 4;

getInt32Value() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

int32 int32Value = 4;

getInt32Value() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

int32 int32Value = 4;

getInt64Data(int) - Method in class onnx.Onnx.TensorProto.Builder

For int64.

getInt64Data(int) - Method in class onnx.Onnx.TensorProto

For int64.

getInt64Data(int) - Method in interface onnx.Onnx.TensorProtoOrBuilder

For int64.

getInt64Data(int) - Method in class onnx.OnnxMl.TensorProto.Builder

For int64.

getInt64Data(int) - Method in class onnx.OnnxMl.TensorProto

For int64.

getInt64Data(int) - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For int64.

getInt64Data(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int64.

getInt64Data(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For int64.

getInt64Data(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For int64.

getInt64DataCount() - Method in class onnx.Onnx.TensorProto.Builder

For int64.

getInt64DataCount() - Method in class onnx.Onnx.TensorProto

For int64.

getInt64DataCount() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For int64.

getInt64DataCount() - Method in class onnx.OnnxMl.TensorProto.Builder

For int64.

getInt64DataCount() - Method in class onnx.OnnxMl.TensorProto

For int64.

getInt64DataCount() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For int64.

getInt64DataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int64.

getInt64DataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For int64.

getInt64DataCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For int64.

getInt64DataList() - Method in class onnx.Onnx.TensorProto.Builder

For int64.

getInt64DataList() - Method in class onnx.Onnx.TensorProto

For int64.

getInt64DataList() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For int64.

getInt64DataList() - Method in class onnx.OnnxMl.TensorProto.Builder

For int64.

getInt64DataList() - Method in class onnx.OnnxMl.TensorProto

For int64.

getInt64DataList() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For int64.

getInt64DataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int64.

getInt64DataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For int64.

getInt64DataList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For int64.

getInt64List() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.Int64List int64_list = 3;

getInt64List() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.Int64List int64_list = 3;

getInt64List() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.Int64List int64_list = 3;

getInt64ListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.Int64List int64_list = 3;

getInt64ListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.Int64List int64_list = 3;

getInt64ListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.Int64List int64_list = 3;

getInt64ListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.Int64List int64_list = 3;

getInt64Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT64

getInt64Val(int) - Method in class org.tensorflow.framework.TensorProto

DT_INT64

getInt64Val(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_INT64

getInt64ValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT64

getInt64ValCount() - Method in class org.tensorflow.framework.TensorProto

DT_INT64

getInt64ValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_INT64

getInt64ValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT64

getInt64ValList() - Method in class org.tensorflow.framework.TensorProto

DT_INT64

getInt64ValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_INT64

getInt64Value() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

int64 int64Value = 5;

getInt64Value() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

int64 int64Value = 5;

getInt64Value() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

int64 int64Value = 5;

getIntArrayArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getIntArrayArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getInterOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder

Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.

getInterOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto

Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.

getInterOpParallelismThreads() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.

getInterOpThreadPool() - Method in class org.tensorflow.framework.RunOptions.Builder

The thread pool to use, if session_inter_op_thread_pool is configured.

getInterOpThreadPool() - Method in class org.tensorflow.framework.RunOptions

The thread pool to use, if session_inter_op_thread_pool is configured.

getInterOpThreadPool() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

The thread pool to use, if session_inter_op_thread_pool is configured.

getIntraOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder

The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.

getIntraOpParallelismThreads() - Method in class org.tensorflow.framework.ConfigProto

The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.

getIntraOpParallelismThreads() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.

getInts(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of ints

getInts(int) - Method in class onnx.Onnx.AttributeProto

list of ints

getInts(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of ints

getInts(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of ints

getInts(int) - Method in class onnx.OnnxMl.AttributeProto

list of ints

getInts(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of ints

getIntsAt(long, int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getIntsAt(long, int) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get the ints at a particular offset

getIntsAt(long, long, int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getIntsAt(long, long, int) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get the ints at a particular offset

getIntsCount() - Method in class onnx.Onnx.AttributeProto.Builder

list of ints

getIntsCount() - Method in class onnx.Onnx.AttributeProto

list of ints

getIntsCount() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of ints

getIntsCount() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of ints

getIntsCount() - Method in class onnx.OnnxMl.AttributeProto

list of ints

getIntsCount() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of ints

getIntsList() - Method in class onnx.Onnx.AttributeProto.Builder

list of ints

getIntsList() - Method in class onnx.Onnx.AttributeProto

list of ints

getIntsList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of ints

getIntsList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of ints

getIntsList() - Method in class onnx.OnnxMl.AttributeProto

list of ints

getIntsList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of ints

getIntUnsynced(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getIntUnsynced(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

getIntVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

getIntVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

getIntVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

getIntValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

getIntValCount() - Method in class org.tensorflow.framework.TensorProto

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

getIntValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

getIntValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

getIntValList() - Method in class org.tensorflow.framework.TensorProto

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

getIntValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

getIntValueFromProperty(String, Map<String, Object>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

getInvocationsCount() - Method in class org.nd4j.linalg.profiler.OpProfiler

getIrBuildMetadata() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The build metadata component of the SemVer of the IR.

getIrBuildMetadata() - Method in class onnx.OnnxOperators.OperatorSetProto

The build metadata component of the SemVer of the IR.

getIrBuildMetadata() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The build metadata component of the SemVer of the IR.

getIrBuildMetadataBytes() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The build metadata component of the SemVer of the IR.

getIrBuildMetadataBytes() - Method in class onnx.OnnxOperators.OperatorSetProto

The build metadata component of the SemVer of the IR.

getIrBuildMetadataBytes() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The build metadata component of the SemVer of the IR.

getIrVersion() - Method in class onnx.Onnx.ModelProto.Builder

The version of the IR this model targets.

getIrVersion() - Method in class onnx.Onnx.ModelProto

The version of the IR this model targets.

getIrVersion() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The version of the IR this model targets.

getIrVersion() - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the IR this model targets.

getIrVersion() - Method in class onnx.OnnxMl.ModelProto

The version of the IR this model targets.

getIrVersion() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The version of the IR this model targets.

getIrVersion() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

All OperatorSetProtos indicate the version of the IR syntax and semantics they adhere to.

getIrVersion() - Method in class onnx.OnnxOperators.OperatorSetProto

All OperatorSetProtos indicate the version of the IR syntax and semantics they adhere to.

getIrVersion() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

All OperatorSetProtos indicate the version of the IR syntax and semantics they adhere to.

getIrVersionPrerelease() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The prerelease component of the SemVer of the IR.

getIrVersionPrerelease() - Method in class onnx.OnnxOperators.OperatorSetProto

The prerelease component of the SemVer of the IR.

getIrVersionPrerelease() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The prerelease component of the SemVer of the IR.

getIrVersionPrereleaseBytes() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The prerelease component of the SemVer of the IR.

getIrVersionPrereleaseBytes() - Method in class onnx.OnnxOperators.OperatorSetProto

The prerelease component of the SemVer of the IR.

getIrVersionPrereleaseBytes() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The prerelease component of the SemVer of the IR.

getIsAggregate() - Method in class org.tensorflow.framework.OpDef.Builder

If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.

getIsAggregate() - Method in class org.tensorflow.framework.OpDef

If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.

getIsAggregate() - Method in interface org.tensorflow.framework.OpDefOrBuilder

If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.

getIsArray() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool isArray = 15;

getIsArray() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

bool isArray = 15;

getIsArray() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

bool isArray = 15;

getIsCommutative() - Method in class org.tensorflow.framework.OpDef.Builder

True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)

getIsCommutative() - Method in class org.tensorflow.framework.OpDef

True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)

getIsCommutative() - Method in interface org.tensorflow.framework.OpDefOrBuilder

True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)

getIsDead() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

True if value is 'dead' like a tensor.

getIsDead() - Method in class org.tensorflow.distruntime.RecvBufResponse

True if value is 'dead' like a tensor.

getIsDead() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder

True if value is 'dead' like a tensor.

getIsDead() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

If true, this tensor was the output of a dead node, and the content is invalid.

getIsDead() - Method in class org.tensorflow.distruntime.RecvTensorResponse

If true, this tensor was the output of a dead node, and the content is invalid.

getIsDead() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder

If true, this tensor was the output of a dead node, and the content is invalid.

getIsFinal() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

If true, the output is permanent: it can't be discarded, because this node is part of the "final output".

getIsFinal() - Method in class org.tensorflow.framework.CostGraphDef.Node

If true, the output is permanent: it can't be discarded, because this node is part of the "final output".

getIsFinal() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

If true, the output is permanent: it can't be discarded, because this node is part of the "final output".

getIsLastPartialRun() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

True if this is the last partial run request in a sequence of requests.

getIsLastPartialRun() - Method in class org.tensorflow.distruntime.RunGraphRequest

True if this is the last partial run request in a sequence of requests.

getIsLastPartialRun() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

True if this is the last partial run request in a sequence of requests.

getIsolateSessionState() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

If true, any resources such as Variables used in the session will not be shared with other sessions.

getIsolateSessionState() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

If true, any resources such as Variables used in the session will not be shared with other sessions.

getIsolateSessionState() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder

If true, any resources such as Variables used in the session will not be shared with other sessions.

getIsolateSessionState() - Method in class org.tensorflow.framework.ConfigProto.Builder

If true, any resources such as Variables used in the session will not be shared with other sessions.

getIsolateSessionState() - Method in class org.tensorflow.framework.ConfigProto

If true, any resources such as Variables used in the session will not be shared with other sessions.

getIsolateSessionState() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

If true, any resources such as Variables used in the session will not be shared with other sessions.

getIsPartial() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

True if the RunGraphRequest is a partial run request.

getIsPartial() - Method in class org.tensorflow.distruntime.RunGraphRequest

True if the RunGraphRequest is a partial run request.

getIsPartial() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

True if the RunGraphRequest is a partial run request.

getIsRef() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

For inputs: if true, the inputs are required to be refs.

getIsRef() - Method in class org.tensorflow.framework.OpDef.ArgDef

For inputs: if true, the inputs are required to be refs.

getIsRef() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

For inputs: if true, the inputs are required to be refs.

getIsResource() - Method in class org.tensorflow.framework.VariableDef.Builder

Whether to represent this as a ResourceVariable.

getIsResource() - Method in class org.tensorflow.framework.VariableDef

Whether to represent this as a ResourceVariable.

getIsResource() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Whether to represent this as a ResourceVariable.

getIsSource() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

bool is_source = 11;

getIsSource() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

bool is_source = 11;

getIsSource() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

bool is_source = 11;

getIsStateful() - Method in class org.tensorflow.framework.OpDef.Builder

Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.

getIsStateful() - Method in class org.tensorflow.framework.OpDef

Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.

getIsStateful() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.

getItemCase() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

getItemCase() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

getItemCase() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder

getJob(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

getJob(int) - Method in class org.tensorflow.distruntime.ClusterDef

The jobs that comprise the cluster.

getJob(int) - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder

The jobs that comprise the cluster.

getJobBuilder(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

getJobBuilderList() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

getJobCount() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

getJobCount() - Method in class org.tensorflow.distruntime.ClusterDef

The jobs that comprise the cluster.

getJobCount() - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder

The jobs that comprise the cluster.

getJobList() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

getJobList() - Method in class org.tensorflow.distruntime.ClusterDef

The jobs that comprise the cluster.

getJobList() - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder

The jobs that comprise the cluster.

getJobName() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The name of the job of which this server is a member.

getJobName() - Method in class org.tensorflow.distruntime.ServerDef

The name of the job of which this server is a member.

getJobName() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The name of the job of which this server is a member.

getJobNameBytes() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The name of the job of which this server is a member.

getJobNameBytes() - Method in class org.tensorflow.distruntime.ServerDef

The name of the job of which this server is a member.

getJobNameBytes() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The name of the job of which this server is a member.

getJobOrBuilder(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

getJobOrBuilder(int) - Method in class org.tensorflow.distruntime.ClusterDef

The jobs that comprise the cluster.

getJobOrBuilder(int) - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder

The jobs that comprise the cluster.

getJobOrBuilderList() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

getJobOrBuilderList() - Method in class org.tensorflow.distruntime.ClusterDef

The jobs that comprise the cluster.

getJobOrBuilderList() - Method in interface org.tensorflow.distruntime.ClusterDefOrBuilder

The jobs that comprise the cluster.

getKeepAliveSecs() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Number of seconds to keep the context alive.

getKeepAliveSecs() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

Number of seconds to keep the context alive.

getKeepAliveSecs() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder

Number of seconds to keep the context alive.

getKeepCheckpointEveryNHours() - Method in class org.tensorflow.util.SaverDef.Builder

How often to keep an additional checkpoint.

getKeepCheckpointEveryNHours() - Method in class org.tensorflow.util.SaverDef

How often to keep an additional checkpoint.

getKeepCheckpointEveryNHours() - Method in interface org.tensorflow.util.SaverDefOrBuilder

How often to keep an additional checkpoint.

getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelName() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder

Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelName() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder

Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelNameBytes() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder

Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".

getKernelNameBytes() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder

Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".

getKey() - Method in class onnx.Onnx.StringStringEntryProto.Builder

string key = 1;

getKey() - Method in class onnx.Onnx.StringStringEntryProto

string key = 1;

getKey() - Method in interface onnx.Onnx.StringStringEntryProtoOrBuilder

string key = 1;

getKey() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string key = 1;

getKey() - Method in class onnx.OnnxMl.StringStringEntryProto

string key = 1;

getKey() - Method in interface onnx.OnnxMl.StringStringEntryProtoOrBuilder

string key = 1;

getKey() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

string key = 1;

getKey() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

string key = 1;

getKey() - Method in interface org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder

string key = 1;

getKey() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string key = 1;

getKey() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

string key = 1;

getKey() - Method in interface org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder

string key = 1;

getKeyBytes() - Method in class onnx.Onnx.StringStringEntryProto.Builder

string key = 1;

getKeyBytes() - Method in class onnx.Onnx.StringStringEntryProto

string key = 1;

getKeyBytes() - Method in interface onnx.Onnx.StringStringEntryProtoOrBuilder

string key = 1;

getKeyBytes() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string key = 1;

getKeyBytes() - Method in class onnx.OnnxMl.StringStringEntryProto

string key = 1;

getKeyBytes() - Method in interface onnx.OnnxMl.StringStringEntryProtoOrBuilder

string key = 1;

getKeyBytes() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

string key = 1;

getKeyBytes() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

string key = 1;

getKeyBytes() - Method in interface org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder

string key = 1;

getKeyBytes() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string key = 1;

getKeyBytes() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

string key = 1;

getKeyBytes() - Method in interface org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder

string key = 1;

getKeys(int) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

Keys for tensors in the VariantTensorDataProto.

getKeys(int) - Method in class org.tensorflow.util.IteratorStateMetadata

Keys for tensors in the VariantTensorDataProto.

getKeys(int) - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder

Keys for tensors in the VariantTensorDataProto.

getKeysBytes(int) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

Keys for tensors in the VariantTensorDataProto.

getKeysBytes(int) - Method in class org.tensorflow.util.IteratorStateMetadata

Keys for tensors in the VariantTensorDataProto.

getKeysBytes(int) - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder

Keys for tensors in the VariantTensorDataProto.

getKeysCount() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

Keys for tensors in the VariantTensorDataProto.

getKeysCount() - Method in class org.tensorflow.util.IteratorStateMetadata

Keys for tensors in the VariantTensorDataProto.

getKeysCount() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder

Keys for tensors in the VariantTensorDataProto.

getKeysList() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

Keys for tensors in the VariantTensorDataProto.

getKeysList() - Method in class org.tensorflow.util.IteratorStateMetadata

Keys for tensors in the VariantTensorDataProto.

getKeysList() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder

Keys for tensors in the VariantTensorDataProto.

getKeyType() - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getKeyType() - Method in class onnx.Onnx.TypeProto.Map

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getKeyType() - Method in interface onnx.Onnx.TypeProto.MapOrBuilder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getKeyType() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getKeyType() - Method in class onnx.OnnxMl.TypeProto.Map

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getKeyType() - Method in interface onnx.OnnxMl.TypeProto.MapOrBuilder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getKindCase() - Method in class org.tensorflow.framework.CollectionDef.Builder

getKindCase() - Method in class org.tensorflow.framework.CollectionDef

getKindCase() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

getL1CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

L1 cache size in bytes

getL1CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

L1 cache size in bytes

getL1CacheSize() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

L1 cache size in bytes

getL2CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

L2 cache size in bytes

getL2CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

L2 cache size in bytes

getL2CacheSize() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

L2 cache size in bytes

getL3CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

L3 cache size in bytes

getL3CacheSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

L3 cache size in bytes

getL3CacheSize() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

L3 cache size in bytes

getLabel() - Method in class org.tensorflow.framework.KernelDef.Builder

This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.

getLabel() - Method in class org.tensorflow.framework.KernelDef

This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.

getLabel() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.

getLabelBytes() - Method in class org.tensorflow.framework.KernelDef.Builder

This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.

getLabelBytes() - Method in class org.tensorflow.framework.KernelDef

This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.

getLabelBytes() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.

getLabelCountsEachClass() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

getLabelMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getLabelMax(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

getLabelMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

getLabelMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

getLabelMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getLabelMin(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

getLabelName(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

getLabelName(int) - Method in class org.nd4j.linalg.dataset.DataSet

getLabelNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Deprecated.

getLabelNames() - Method in class org.nd4j.linalg.dataset.DataSet

Deprecated.

getLabelNames(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet

getLabelNames(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet

getLabelNamesList() - Method in interface org.nd4j.linalg.dataset.api.DataSet

getLabelNamesList() - Method in class org.nd4j.linalg.dataset.DataSet

Gets the optional label names

getLabels() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

getLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

getLabels() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Get dataset iterator class labels, if any.

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

getLabels() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get all of the labels, as an array of INDArrays

getLabels() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Get dataset iterator record reader labels

getLabels() - Method in class org.nd4j.linalg.dataset.DataSet

Returns the labels for the dataset

getLabels() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

getLabels() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

getLabels() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getLabels() - Method in class org.nd4j.linalg.dataset.ViewIterator

getLabels(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get a single label/output array

getLabels(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getLabelsMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Labels (output) mask array: a mask array for input, where each value is in {0,1} in order to specify whether an output is actually present or not.

getLabelsMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet

getLabelsMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the specified label mask array.

getLabelsMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getLabelsMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the labels mask arrays.

getLabelsMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getLabelStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

getLabelStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

getLabelStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

getLabelStd() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

getLabelStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

getLabelWidth() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

Returns the width of each label vector.

getLastCycleAllocations() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method returns amount of memory consumed in last successful cycle, in bytes

getLastCycleAllocations() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns number of bytes allocated during last full cycle

getLastCycleAllocations() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns amount of memory consumed in last successful cycle, in bytes

getLastDescriptor() - Method in class org.nd4j.linalg.profiler.data.StackAggregator

getLastGcTime() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

getLastGcTime() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method returns time (in milliseconds) of the las System.gc() call

getLastModified() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

The timestamp at which the source code file is last modified.

getLastModified() - Method in class org.tensorflow.framework.DebuggedSourceFile

The timestamp at which the source code file is last modified.

getLastModified() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

The timestamp at which the source code file is last modified.

getLastOp() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

getLastOp() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns opName of the last invoked op

getLastOutput() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.LSTMLayerOutputs

getLastOutput() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRULayerOutputs

Get y, the output of the cell, for the last time step.

getLastState() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.LSTMLayerOutputs

getLastState() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRULayerOutputs

Get c, the state of the cell, for the last time step.

getLayoutOptimizer() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Optimize tensor layouts (default is ON) e.g.

getLayoutOptimizer() - Method in class org.tensorflow.framework.RewriterConfig

Optimize tensor layouts (default is ON) e.g.

getLayoutOptimizer() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Optimize tensor layouts (default is ON) e.g.

getLayoutOptimizerValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Optimize tensor layouts (default is ON) e.g.

getLayoutOptimizerValue() - Method in class org.tensorflow.framework.RewriterConfig

Optimize tensor layouts (default is ON) e.g.

getLayoutOptimizerValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Optimize tensor layouts (default is ON) e.g.

getLd(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Get the leading dimension for a blas invocation.

getLeadingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getLeadingOnes() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get the number of leading ones in the array shape.

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaBelief

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaDelta

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaGrad

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Adam

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaMax

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AMSGrad

getLearningRate(int, int) - Method in interface org.nd4j.linalg.learning.config.IUpdater

Get the learning rate - if any - for the updater, at the specified iteration and epoch.

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Nadam

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Nesterovs

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.NoOp

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.RmsProp

getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Sgd

getLegacyJsonMapper() - Method in class org.nd4j.serde.json.BaseLegacyDeserializer

getLegacyJsonMapper() - Method in class org.nd4j.serde.json.LegacyIActivationDeserializer

getLegacyJsonMapper() - Method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer

getLegacyNamesMap() - Method in class org.nd4j.serde.json.BaseLegacyDeserializer

getLegacyNamesMap() - Method in class org.nd4j.serde.json.LegacyIActivationDeserializer

getLegacyNamesMap() - Method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer

getLegacyOpClassForId(Op.Type, int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

getLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

int64 length = 2;

getLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

int64 length = 2;

getLength() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder

int64 length = 2;

getLengthFrames() - Method in class org.tensorflow.framework.Summary.Audio.Builder

Length of the audio in frames (samples per channel).

getLengthFrames() - Method in class org.tensorflow.framework.Summary.Audio

Length of the audio in frames (samples per channel).

getLengthFrames() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder

Length of the audio in frames (samples per channel).

getLFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

getLFactor(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack

extracts the L (lower triangular) matrix from the LU factor result L will be the same dimensions as A

getLibrary() - Method in class org.tensorflow.framework.GraphDef.Builder

EXPERIMENTAL.

getLibrary() - Method in class org.tensorflow.framework.GraphDef

EXPERIMENTAL.

getLibrary() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

EXPERIMENTAL.

getLibraryBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder

EXPERIMENTAL.

getLibraryOrBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder

EXPERIMENTAL.

getLibraryOrBuilder() - Method in class org.tensorflow.framework.GraphDef

EXPERIMENTAL.

getLibraryOrBuilder() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

EXPERIMENTAL.

getLines(int) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Line-by-line content of the source code file.

getLines(int) - Method in class org.tensorflow.framework.DebuggedSourceFile

Line-by-line content of the source code file.

getLines(int) - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

Line-by-line content of the source code file.

getLinesBytes(int) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Line-by-line content of the source code file.

getLinesBytes(int) - Method in class org.tensorflow.framework.DebuggedSourceFile

Line-by-line content of the source code file.

getLinesBytes(int) - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

Line-by-line content of the source code file.

getLinesCount() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Line-by-line content of the source code file.

getLinesCount() - Method in class org.tensorflow.framework.DebuggedSourceFile

Line-by-line content of the source code file.

getLinesCount() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

Line-by-line content of the source code file.

getLinesList() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Line-by-line content of the source code file.

getLinesList() - Method in class org.tensorflow.framework.DebuggedSourceFile

Line-by-line content of the source code file.

getLinesList() - Method in interface org.tensorflow.framework.DebuggedSourceFileOrBuilder

Line-by-line content of the source code file.

getLink(int) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

getLink(int) - Method in class org.tensorflow.framework.LocalLinks

repeated .tensorflow.InterconnectLink link = 1;

getLink(int) - Method in interface org.tensorflow.framework.LocalLinksOrBuilder

repeated .tensorflow.InterconnectLink link = 1;

getLinkBuilder(int) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

getLinkBuilderList() - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

getLinkCount() - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

getLinkCount() - Method in class org.tensorflow.framework.LocalLinks

repeated .tensorflow.InterconnectLink link = 1;

getLinkCount() - Method in interface org.tensorflow.framework.LocalLinksOrBuilder

repeated .tensorflow.InterconnectLink link = 1;

getLinkList() - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

getLinkList() - Method in class org.tensorflow.framework.LocalLinks

repeated .tensorflow.InterconnectLink link = 1;

getLinkList() - Method in interface org.tensorflow.framework.LocalLinksOrBuilder

repeated .tensorflow.InterconnectLink link = 1;

getLinkOrBuilder(int) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

getLinkOrBuilder(int) - Method in class org.tensorflow.framework.LocalLinks

repeated .tensorflow.InterconnectLink link = 1;

getLinkOrBuilder(int) - Method in interface org.tensorflow.framework.LocalLinksOrBuilder

repeated .tensorflow.InterconnectLink link = 1;

getLinkOrBuilderList() - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

getLinkOrBuilderList() - Method in class org.tensorflow.framework.LocalLinks

repeated .tensorflow.InterconnectLink link = 1;

getLinkOrBuilderList() - Method in interface org.tensorflow.framework.LocalLinksOrBuilder

repeated .tensorflow.InterconnectLink link = 1;

getLinks() - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional local interconnect links to other devices.

getLinks() - Method in class org.tensorflow.framework.DeviceLocality

Optional local interconnect links to other devices.

getLinks() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder

Optional local interconnect links to other devices.

getLinksBuilder() - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional local interconnect links to other devices.

getLinksOrBuilder() - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional local interconnect links to other devices.

getLinksOrBuilder() - Method in class org.tensorflow.framework.DeviceLocality

Optional local interconnect links to other devices.

getLinksOrBuilder() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder

Optional local interconnect links to other devices.

getList() - Method in class org.tensorflow.framework.AttrValue.Builder

any "list(...)"

getList() - Method in class org.tensorflow.framework.AttrValue

any "list(...)"

getList() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

any "list(...)"

getListBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder

any "list(...)"

getListeners() - Method in class org.nd4j.autodiff.samediff.SameDiff

Gets the current SameDiff-wide listeners.

getListOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder

any "list(...)"

getListOrBuilder() - Method in class org.tensorflow.framework.AttrValue

any "list(...)"

getListOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

any "list(...)"

getListValue() - Method in class org.nd4j.autodiff.samediff.config.SDValue

Return an INDArray if the value type is SDValueType.TENSOR else return the list type

getLiveBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The bytes that are not deallocated.

getLiveBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

The bytes that are not deallocated.

getLiveBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

The bytes that are not deallocated.

getLocalDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDevice(int) - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceCount() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceCount() - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceCount() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceList() - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceList() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceOrBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceOrBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceOrBuilder(int) - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceOrBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceOrBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocalDeviceOrBuilderList() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes local_device = 1;

getLocality() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Platform-specific data about device that may be useful for supporting efficient data transfers.

getLocality() - Method in class org.tensorflow.framework.DeviceAttributes

Platform-specific data about device that may be useful for supporting efficient data transfers.

getLocality() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

Platform-specific data about device that may be useful for supporting efficient data transfers.

getLocalityBuilder() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Platform-specific data about device that may be useful for supporting efficient data transfers.

getLocalityOrBuilder() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Platform-specific data about device that may be useful for supporting efficient data transfers.

getLocalityOrBuilder() - Method in class org.tensorflow.framework.DeviceAttributes

Platform-specific data about device that may be useful for supporting efficient data transfers.

getLocalityOrBuilder() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

Platform-specific data about device that may be useful for supporting efficient data transfers.

getLocalName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

A user-provided name for the edge.

getLocalName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

A user-provided name for the edge.

getLocalName() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder

A user-provided name for the edge.

getLocalNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

A user-provided name for the edge.

getLocalNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

A user-provided name for the edge.

getLocalNameBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder

A user-provided name for the edge.

getLogDevicePlacement() - Method in class org.tensorflow.framework.ConfigProto.Builder

Whether device placements should be logged.

getLogDevicePlacement() - Method in class org.tensorflow.framework.ConfigProto

Whether device placements should be logged.

getLogDevicePlacement() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Whether device placements should be logged.

getLong(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getLong(long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get element i in the buffer as long value

getLong(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getLong(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get a long value at the specified index.

getLong(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getLong(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get a long value at the specified indices.

getLong(INDArray, long...) - Static method in class org.nd4j.linalg.api.shape.Shape

getLongHash(@lombok.NonNull byte[]) - Static method in class org.nd4j.linalg.util.HashUtil

This method returns long hash for a given bytes array

getLongHash(String) - Static method in class org.nd4j.linalg.util.HashUtil

This method returns long hash for a given string

getLongsAt(long, int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getLongsAt(long, int) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get the longs at a particular offset

getLongsAt(long, long, int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getLongsAt(long, long, int) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get the long at a particular offset

getLongUnsynced(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getLongUnsynced(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

getLongValueFromProperty(String, Map<String, Object>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

getLoopEnterNames(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for enter tensors.

getLoopEnterNames(int) - Method in class org.tensorflow.framework.WhileContextDef

List of names for enter tensors.

getLoopEnterNames(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

List of names for enter tensors.

getLoopEnterNamesBytes(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for enter tensors.

getLoopEnterNamesBytes(int) - Method in class org.tensorflow.framework.WhileContextDef

List of names for enter tensors.

getLoopEnterNamesBytes(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

List of names for enter tensors.

getLoopEnterNamesCount() - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for enter tensors.

getLoopEnterNamesCount() - Method in class org.tensorflow.framework.WhileContextDef

List of names for enter tensors.

getLoopEnterNamesCount() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

List of names for enter tensors.

getLoopEnterNamesList() - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for enter tensors.

getLoopEnterNamesList() - Method in class org.tensorflow.framework.WhileContextDef

List of names for enter tensors.

getLoopEnterNamesList() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

List of names for enter tensors.

getLoopExitNames(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for exit tensors.

getLoopExitNames(int) - Method in class org.tensorflow.framework.WhileContextDef

List of names for exit tensors.

getLoopExitNames(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

List of names for exit tensors.

getLoopExitNamesBytes(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for exit tensors.

getLoopExitNamesBytes(int) - Method in class org.tensorflow.framework.WhileContextDef

List of names for exit tensors.

getLoopExitNamesBytes(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

List of names for exit tensors.

getLoopExitNamesCount() - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for exit tensors.

getLoopExitNamesCount() - Method in class org.tensorflow.framework.WhileContextDef

List of names for exit tensors.

getLoopExitNamesCount() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

List of names for exit tensors.

getLoopExitNamesList() - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for exit tensors.

getLoopExitNamesList() - Method in class org.tensorflow.framework.WhileContextDef

List of names for exit tensors.

getLoopExitNamesList() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

List of names for exit tensors.

getLoopOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Loop optimizations (default is ON).

getLoopOptimization() - Method in class org.tensorflow.framework.RewriterConfig

Loop optimizations (default is ON).

getLoopOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Loop optimizations (default is ON).

getLoopOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Loop optimizations (default is ON).

getLoopOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig

Loop optimizations (default is ON).

getLoopOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Loop optimizations (default is ON).

getLoss(String) - Method in class org.nd4j.autodiff.listeners.Loss

Get the specified loss by name

getLossFunctionAsByte(LossReduce) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

Convert the LossReduce enum to its flatbuffers equivalent bytes.

getLossReduceFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

Convert the input byte to the equivalent LossReduce, will throw an IllegalArgumentException if the value is not found

getLossVariables() - Method in class org.nd4j.autodiff.samediff.SameDiff

Get the names of variables (if any) that have been marked as loss variables to be minimized.
Variables can be marked as loss variables in a few different ways:
(a) Losses are automatically added when creating loss functions via SDBaseOps.sd
(b) Via SameDiff.setLossVariables(String...), @link #addLossVariable(String)} or SDVariable.markAsLoss()
(c) Via TrainingConfig#setLossVariables(List)

getMagic() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

All OperatorSetProtos start with a distingushed byte sequence to disambiguate protobuf files containing OperatorSets from other content.

getMagic() - Method in class onnx.OnnxOperators.OperatorSetProto

All OperatorSetProtos start with a distingushed byte sequence to disambiguate protobuf files containing OperatorSets from other content.

getMagic() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

All OperatorSetProtos start with a distingushed byte sequence to disambiguate protobuf files containing OperatorSets from other content.

getMagicBytes() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

All OperatorSetProtos start with a distingushed byte sequence to disambiguate protobuf files containing OperatorSets from other content.

getMagicBytes() - Method in class onnx.OnnxOperators.OperatorSetProto

All OperatorSetProtos start with a distingushed byte sequence to disambiguate protobuf files containing OperatorSets from other content.

getMagicBytes() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

All OperatorSetProtos start with a distingushed byte sequence to disambiguate protobuf files containing OperatorSets from other content.

getMapper() - Static method in class org.nd4j.serde.json.JsonMappers

getMappings(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappings(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappings(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsBuilderList() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsCount() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsCount() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsList() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsList() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsList() - Method in interface org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsOrBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsOrBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsOrBuilder(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsOrBuilderList() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsOrBuilderList() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMappingsOrBuilderList() - Method in interface org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

getMapType() - Method in class onnx.Onnx.TypeProto.Builder

The type of a map.

getMapType() - Method in class onnx.Onnx.TypeProto

The type of a map.

getMapType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of a map.

getMapType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a map.

getMapType() - Method in class onnx.OnnxMl.TypeProto

The type of a map.

getMapType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of a map.

getMapTypeBuilder() - Method in class onnx.Onnx.TypeProto.Builder

The type of a map.

getMapTypeBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a map.

getMapTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Builder

The type of a map.

getMapTypeOrBuilder() - Method in class onnx.Onnx.TypeProto

The type of a map.

getMapTypeOrBuilder() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of a map.

getMapTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a map.

getMapTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto

The type of a map.

getMapTypeOrBuilder() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of a map.

getMatrixMultiplyShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the output shape of a matrix multiply

getMatrixMultiplyShape(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

getMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getMax() - Method in class org.tensorflow.framework.HistogramProto.Builder

double max = 2;

getMax() - Method in class org.tensorflow.framework.HistogramProto

double max = 2;

getMax() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

double max = 2;

getMax(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

getMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

repeated int32 max_byte_size = 2;

getMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

repeated int32 max_byte_size = 2;

getMaxByteSize(int) - Method in interface org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder

repeated int32 max_byte_size = 2;

getMaxByteSizeCount() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

repeated int32 max_byte_size = 2;

getMaxByteSizeCount() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

repeated int32 max_byte_size = 2;

getMaxByteSizeCount() - Method in interface org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder

repeated int32 max_byte_size = 2;

getMaxByteSizeList() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

repeated int32 max_byte_size = 2;

getMaxByteSizeList() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

repeated int32 max_byte_size = 2;

getMaxByteSizeList() - Method in interface org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder

repeated int32 max_byte_size = 2;

getMaxCycleAllocations() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method returns amount of memory consumed by largest successful cycle, in bytes

getMaxCycleAllocations() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns number of bytes of biggest cycle

getMaxCycleAllocations() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns amount of memory consumed by largest successful cycle, in bytes

getMaxFoldedConstantInBytes() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.

getMaxFoldedConstantInBytes() - Method in class org.tensorflow.framework.OptimizerOptions

Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.

getMaxFoldedConstantInBytes() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder

Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.

getMaximum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet

getMaximum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator

getMaximumIterationsName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Optional name of the maximum_iterations tensor.

getMaximumIterationsName() - Method in class org.tensorflow.framework.WhileContextDef

Optional name of the maximum_iterations tensor.

getMaximumIterationsName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Optional name of the maximum_iterations tensor.

getMaximumIterationsNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Optional name of the maximum_iterations tensor.

getMaximumIterationsNameBytes() - Method in class org.tensorflow.framework.WhileContextDef

Optional name of the maximum_iterations tensor.

getMaximumIterationsNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Optional name of the maximum_iterations tensor.

getMaxShape(INDArray...) - Static method in class org.nd4j.linalg.api.shape.Shape

Return the shape of the largest length array based on the input

getMaxThreads() - Method in interface org.nd4j.linalg.api.blas.Blas

getMaxToKeep() - Method in class org.tensorflow.util.SaverDef.Builder

Maximum number of checkpoints to keep.

getMaxToKeep() - Method in class org.tensorflow.util.SaverDef

Maximum number of checkpoints to keep.

getMaxToKeep() - Method in interface org.tensorflow.util.SaverDefOrBuilder

Maximum number of checkpoints to keep.

getMaybeTypeName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

For debug-only, the name of the type pointed to by this handle, if available.

getMaybeTypeName() - Method in class org.tensorflow.framework.ResourceHandleProto

For debug-only, the name of the type pointed to by this handle, if available.

getMaybeTypeName() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder

For debug-only, the name of the type pointed to by this handle, if available.

getMaybeTypeNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

For debug-only, the name of the type pointed to by this handle, if available.

getMaybeTypeNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto

For debug-only, the name of the type pointed to by this handle, if available.

getMaybeTypeNameBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder

For debug-only, the name of the type pointed to by this handle, if available.

getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Access the mean.

getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Access the mean.

getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Access the mean.

getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Access the mean.

getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Access the mean.

getMean() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

getMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

getMean() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA

getMeanFor(INDArray) - Static method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

getMedian() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet

getMedian(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator

getMemory(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemory(int) - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemory(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryCount() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryCount() - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryCount() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryFootprint() - Method in interface org.nd4j.linalg.dataset.api.DataSet

This method returns memory used by this DataSet

getMemoryFootprint() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

This method returns memory amount occupied by this MultiDataSet.

getMemoryFootprint() - Method in class org.nd4j.linalg.dataset.DataSet

This method returns memory used by this DataSet

getMemoryFootprint() - Method in class org.nd4j.linalg.dataset.MultiDataSet

This method returns memory used by this DataSet

getMemoryLimit() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Memory capacity of device in bytes.

getMemoryLimit() - Method in class org.tensorflow.framework.DeviceAttributes

Memory capacity of device in bytes.

getMemoryLimit() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

Memory capacity of device in bytes.

getMemoryLimitMb(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

Per "virtual" device memory limit, in MB.

getMemoryLimitMb(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

Per "virtual" device memory limit, in MB.

getMemoryLimitMb(int) - Method in interface org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder

Per "virtual" device memory limit, in MB.

getMemoryLimitMbCount() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

Per "virtual" device memory limit, in MB.

getMemoryLimitMbCount() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

Per "virtual" device memory limit, in MB.

getMemoryLimitMbCount() - Method in interface org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder

Per "virtual" device memory limit, in MB.

getMemoryLimitMbList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

Per "virtual" device memory limit, in MB.

getMemoryLimitMbList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

Per "virtual" device memory limit, in MB.

getMemoryLimitMbList() - Method in interface org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder

Per "virtual" device memory limit, in MB.

getMemoryList() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryList() - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryManager() - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns backend-specific MemoryManager implementation, for low-level memory management

getMemoryOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures memory optimization passes through the meta-optimizer.

getMemoryOptimization() - Method in class org.tensorflow.framework.RewriterConfig

Configures memory optimization passes through the meta-optimizer.

getMemoryOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Configures memory optimization passes through the meta-optimizer.

getMemoryOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures memory optimization passes through the meta-optimizer.

getMemoryOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig

Configures memory optimization passes through the meta-optimizer.

getMemoryOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Configures memory optimization passes through the meta-optimizer.

getMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.framework.RewriterConfig.Builder

A node name scope for node names which are valid outputs of recompuations.

getMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.framework.RewriterConfig

A node name scope for node names which are valid outputs of recompuations.

getMemoryOptimizerTargetNodeNameScope() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

A node name scope for node names which are valid outputs of recompuations.

getMemoryOptimizerTargetNodeNameScopeBytes() - Method in class org.tensorflow.framework.RewriterConfig.Builder

A node name scope for node names which are valid outputs of recompuations.

getMemoryOptimizerTargetNodeNameScopeBytes() - Method in class org.tensorflow.framework.RewriterConfig

A node name scope for node names which are valid outputs of recompuations.

getMemoryOptimizerTargetNodeNameScopeBytes() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

A node name scope for node names which are valid outputs of recompuations.

getMemoryOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryOrBuilder(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemoryOrBuilderList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

getMemorySize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Memory size in bytes

getMemorySize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Memory size in bytes

getMemorySize() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Memory size in bytes

getMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats.Builder

.tensorflow.MemoryStats memory_stats = 12;

getMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats

.tensorflow.MemoryStats memory_stats = 12;

getMemoryStats() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

.tensorflow.MemoryStats memory_stats = 12;

getMemoryStatsBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder

.tensorflow.MemoryStats memory_stats = 12;

getMemoryStatsOrBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder

.tensorflow.MemoryStats memory_stats = 12;

getMemoryStatsOrBuilder() - Method in class org.tensorflow.framework.NodeExecStats

.tensorflow.MemoryStats memory_stats = 12;

getMemoryStatsOrBuilder() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

.tensorflow.MemoryStats memory_stats = 12;

getMemoryTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Analytical estimate of the memory access cost of this node, in microseconds.

getMemoryTime() - Method in class org.tensorflow.framework.CostGraphDef.Node

Analytical estimate of the memory access cost of this node, in microseconds.

getMemoryTime() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Analytical estimate of the memory access cost of this node, in microseconds.

getMetadata() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Returned metadata if requested in the options.

getMetadata() - Method in class org.tensorflow.distruntime.RunCallableResponse

Returned metadata if requested in the options.

getMetadata() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder

Returned metadata if requested in the options.

getMetadata() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

Returned metadata if requested in the options.

getMetadata() - Method in class org.tensorflow.distruntime.RunStepResponse

Returned metadata if requested in the options.

getMetadata() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

Returned metadata if requested in the options.

getMetadata() - Method in class org.tensorflow.framework.Summary.Value.Builder

Contains metadata on the summary value such as which plugins may use it.

getMetadata() - Method in class org.tensorflow.framework.Summary.Value

Contains metadata on the summary value such as which plugins may use it.

getMetadata() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

Contains metadata on the summary value such as which plugins may use it.

getMetadata() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Portions of the object that are not Tensors.

getMetadata() - Method in class org.tensorflow.framework.VariantTensorDataProto

Portions of the object that are not Tensors.

getMetadata() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder

Portions of the object that are not Tensors.

getMetadataBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Returned metadata if requested in the options.

getMetadataBuilder() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

Returned metadata if requested in the options.

getMetadataBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

Contains metadata on the summary value such as which plugins may use it.

getMetadataOrBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Returned metadata if requested in the options.

getMetadataOrBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse

Returned metadata if requested in the options.

getMetadataOrBuilder() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder

Returned metadata if requested in the options.

getMetadataOrBuilder() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

Returned metadata if requested in the options.

getMetadataOrBuilder() - Method in class org.tensorflow.distruntime.RunStepResponse

Returned metadata if requested in the options.

getMetadataOrBuilder() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

Returned metadata if requested in the options.

getMetadataOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

Contains metadata on the summary value such as which plugins may use it.

getMetadataOrBuilder() - Method in class org.tensorflow.framework.Summary.Value

Contains metadata on the summary value such as which plugins may use it.

getMetadataOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

Contains metadata on the summary value such as which plugins may use it.

getMetadataProps(int) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataProps(int) - Method in class onnx.Onnx.ModelProto

Named metadata values; keys should be distinct.

getMetadataProps(int) - Method in interface onnx.Onnx.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataProps(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataProps(int) - Method in class onnx.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataProps(int) - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsBuilderList() - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsBuilderList() - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsCount() - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsCount() - Method in class onnx.Onnx.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsCount() - Method in interface onnx.Onnx.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsCount() - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsCount() - Method in class onnx.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsCount() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsList() - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsList() - Method in class onnx.Onnx.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsList() - Method in interface onnx.Onnx.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsList() - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsList() - Method in class onnx.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsList() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilder(int) - Method in class onnx.Onnx.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilder(int) - Method in interface onnx.Onnx.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilder(int) - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilderList() - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilderList() - Method in class onnx.Onnx.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilderList() - Method in interface onnx.Onnx.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilderList() - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilderList() - Method in class onnx.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilderList() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetaGraphs(int) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

getMetaGraphs(int) - Method in class org.tensorflow.framework.SavedModel

One or more MetaGraphs.

getMetaGraphs(int) - Method in interface org.tensorflow.framework.SavedModelOrBuilder

One or more MetaGraphs.

getMetaGraphsBuilder(int) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

getMetaGraphsBuilderList() - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

getMetaGraphsCount() - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

getMetaGraphsCount() - Method in class org.tensorflow.framework.SavedModel

One or more MetaGraphs.

getMetaGraphsCount() - Method in interface org.tensorflow.framework.SavedModelOrBuilder

One or more MetaGraphs.

getMetaGraphsList() - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

getMetaGraphsList() - Method in class org.tensorflow.framework.SavedModel

One or more MetaGraphs.

getMetaGraphsList() - Method in interface org.tensorflow.framework.SavedModelOrBuilder

One or more MetaGraphs.

getMetaGraphsOrBuilder(int) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

getMetaGraphsOrBuilder(int) - Method in class org.tensorflow.framework.SavedModel

One or more MetaGraphs.

getMetaGraphsOrBuilder(int) - Method in interface org.tensorflow.framework.SavedModelOrBuilder

One or more MetaGraphs.

getMetaGraphsOrBuilderList() - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

getMetaGraphsOrBuilderList() - Method in class org.tensorflow.framework.SavedModel

One or more MetaGraphs.

getMetaGraphsOrBuilderList() - Method in interface org.tensorflow.framework.SavedModelOrBuilder

One or more MetaGraphs.

getMetaGraphVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User specified Version string.

getMetaGraphVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

User specified Version string.

getMetaGraphVersion() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

User specified Version string.

getMetaGraphVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User specified Version string.

getMetaGraphVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

User specified Version string.

getMetaGraphVersionBytes() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

User specified Version string.

getMetaInfoDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

getMetaInfoDef() - Method in class org.tensorflow.framework.MetaGraphDef

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

getMetaInfoDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

getMetaInfoDefBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

getMetaInfoDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

getMetaInfoDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

getMetaInfoDefOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

getMetaOptimizerIterations() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Controls how many times we run the optimizers in meta optimizer (default is once).

getMetaOptimizerIterations() - Method in class org.tensorflow.framework.RewriterConfig

Controls how many times we run the optimizers in meta optimizer (default is once).

getMetaOptimizerIterations() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Controls how many times we run the optimizers in meta optimizer (default is once).

getMetaOptimizerIterationsValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Controls how many times we run the optimizers in meta optimizer (default is once).

getMetaOptimizerIterationsValue() - Method in class org.tensorflow.framework.RewriterConfig

Controls how many times we run the optimizers in meta optimizer (default is once).

getMetaOptimizerIterationsValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Controls how many times we run the optimizers in meta optimizer (default is once).

getMethodName() - Method in class org.tensorflow.framework.SignatureDef.Builder

Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.

getMethodName() - Method in class org.tensorflow.framework.SignatureDef

Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.

getMethodName() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.

getMethodNameBytes() - Method in class org.tensorflow.framework.SignatureDef.Builder

Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.

getMethodNameBytes() - Method in class org.tensorflow.framework.SignatureDef

Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.

getMethodNameBytes() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.

getMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getMin() - Method in class org.tensorflow.framework.HistogramProto.Builder

double min = 1;

getMin() - Method in class org.tensorflow.framework.HistogramProto

double min = 1;

getMin() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

double min = 1;

getMin(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

getMinConsumer() - Method in class org.tensorflow.framework.VersionDef.Builder

Any consumer below this version is not allowed to consume this data.

getMinConsumer() - Method in class org.tensorflow.framework.VersionDef

Any consumer below this version is not allowed to consume this data.

getMinConsumer() - Method in interface org.tensorflow.framework.VersionDefOrBuilder

Any consumer below this version is not allowed to consume this data.

getMinimum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet

getMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

int64 minimum = 6;

getMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef

int64 minimum = 6;

getMinimum() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

int64 minimum = 6;

getMinimum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator

getMixedOrderAggregator() - Method in class org.nd4j.linalg.profiler.OpProfiler

Dev-time method.

getModel() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Model (Haswell, K40, ...)

getModel() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Model (Haswell, K40, ...)

getModel() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Model (Haswell, K40, ...)

getModelBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Model (Haswell, K40, ...)

getModelBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Model (Haswell, K40, ...)

getModelBytes() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Model (Haswell, K40, ...)

getModelVersion() - Method in class onnx.Onnx.ModelProto.Builder

The version of the graph encoded.

getModelVersion() - Method in class onnx.Onnx.ModelProto

The version of the graph encoded.

getModelVersion() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The version of the graph encoded.

getModelVersion() - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the graph encoded.

getModelVersion() - Method in class onnx.OnnxMl.ModelProto

The version of the graph encoded.

getModelVersion() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The version of the graph encoded.

getMutableAttr() - Method in class org.tensorflow.framework.FunctionDef.Builder

Deprecated.

getMutableAttr() - Method in class org.tensorflow.framework.NameAttrList.Builder

Deprecated.

getMutableAttr() - Method in class org.tensorflow.framework.NodeDef.Builder

Deprecated.

getMutableAttrs() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

Deprecated.

getMutableCollectionDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Deprecated.

getMutableDeviceCount() - Method in class org.tensorflow.framework.ConfigProto.Builder

Deprecated.

getMutableEnvironment() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Deprecated.

getMutableExternalValues() - Method in class org.tensorflow.framework.ValuesDef.Builder

Deprecated.

getMutableIndexOverrides() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

Deprecated.

getMutableInputs() - Method in class org.tensorflow.framework.SignatureDef.Builder

Deprecated.

getMutableInputToOutput() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

Deprecated.

getMutableOutputs() - Method in class org.tensorflow.framework.SignatureDef.Builder

Deprecated.

getMutableParameterMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

Deprecated.

getMutableRet() - Method in class org.tensorflow.framework.FunctionDef.Builder

Deprecated.

getMutableSignatureDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Deprecated.

getMutableTasks() - Method in class org.tensorflow.distruntime.JobDef.Builder

Deprecated.

getName() - Method in class onnx.Onnx.AttributeProto.Builder

The name field MUST be present for this version of the IR.

getName() - Method in class onnx.Onnx.AttributeProto

The name field MUST be present for this version of the IR.

getName() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

The name field MUST be present for this version of the IR.

getName() - Method in class onnx.Onnx.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

getName() - Method in class onnx.Onnx.FunctionProto

The name of the function, similar usage of op_type in OperatorProto.

getName() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The name of the function, similar usage of op_type in OperatorProto.

getName() - Method in class onnx.Onnx.GraphProto.Builder

The name of the graph.

getName() - Method in class onnx.Onnx.GraphProto

The name of the graph.

getName() - Method in interface onnx.Onnx.GraphProtoOrBuilder

The name of the graph.

getName() - Method in class onnx.Onnx.NodeProto.Builder

An optional identifier for this node in a graph.

getName() - Method in class onnx.Onnx.NodeProto

An optional identifier for this node in a graph.

getName() - Method in interface onnx.Onnx.NodeProtoOrBuilder

An optional identifier for this node in a graph.

getName() - Method in class onnx.Onnx.TensorProto.Builder

Optionally, a name for the tensor.

getName() - Method in class onnx.Onnx.TensorProto

Optionally, a name for the tensor.

getName() - Method in interface onnx.Onnx.TensorProtoOrBuilder

Optionally, a name for the tensor.

getName() - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getName() - Method in class onnx.Onnx.ValueInfoProto

This field MUST be present in this version of the IR.

getName() - Method in interface onnx.Onnx.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getName() - Method in class onnx.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

getName() - Method in class onnx.OnnxMl.AttributeProto

The name field MUST be present for this version of the IR.

getName() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

The name field MUST be present for this version of the IR.

getName() - Method in class onnx.OnnxMl.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

getName() - Method in class onnx.OnnxMl.FunctionProto

The name of the function, similar usage of op_type in OperatorProto.

getName() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The name of the function, similar usage of op_type in OperatorProto.

getName() - Method in class onnx.OnnxMl.GraphProto.Builder

The name of the graph.

getName() - Method in class onnx.OnnxMl.GraphProto

The name of the graph.

getName() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The name of the graph.

getName() - Method in class onnx.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

getName() - Method in class onnx.OnnxMl.NodeProto

An optional identifier for this node in a graph.

getName() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

An optional identifier for this node in a graph.

getName() - Method in class onnx.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

getName() - Method in class onnx.OnnxMl.TensorProto

Optionally, a name for the tensor.

getName() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

Optionally, a name for the tensor.

getName() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

getName() - Method in class onnx.OnnxMl.TypeProto.Opaque

The name is optional but significant when provided.

getName() - Method in interface onnx.OnnxMl.TypeProto.OpaqueOrBuilder

The name is optional but significant when provided.

getName() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getName() - Method in class onnx.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR.

getName() - Method in interface onnx.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getName() - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

getName() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string name = 1;

getName() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

string name = 1;

getName() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

string name = 1;

getName() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

string name = 1;

getName() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

string name = 1;

getName() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder

string name = 1;

getName() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Optionally, a name for the tensor.

getName() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

Optionally, a name for the tensor.

getName() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

Optionally, a name for the tensor.

getName() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getName() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

This field MUST be present in this version of the IR.

getName() - Method in interface org.nd4j.ir.TensorNamespace.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getName() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string name = 1;

getName() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

string name = 1;

getName() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

string name = 1;

getName() - Method in class org.tensorflow.distruntime.JobDef.Builder

The name of this job.

getName() - Method in class org.tensorflow.distruntime.JobDef

The name of this job.

getName() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder

The name of this job.

getName() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

string name = 1;

getName() - Method in class org.tensorflow.framework.ApiDef.Arg

string name = 1;

getName() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder

string name = 1;

getName() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

string name = 1;

getName() - Method in class org.tensorflow.framework.ApiDef.Attr

string name = 1;

getName() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder

string name = 1;

getName() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

Name should be either like "CamelCaseName" or "Package.CamelCaseName".

getName() - Method in class org.tensorflow.framework.ApiDef.Endpoint

Name should be either like "CamelCaseName" or "Package.CamelCaseName".

getName() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder

Name should be either like "CamelCaseName" or "Package.CamelCaseName".

getName() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The name of the node.

getName() - Method in class org.tensorflow.framework.CostGraphDef.Node

The name of the node.

getName() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

The name of the node.

getName() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Fully specified name of the device within a cluster.

getName() - Method in class org.tensorflow.framework.DeviceAttributes

Fully specified name of the device within a cluster.

getName() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

Fully specified name of the device within a cluster.

getName() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

string name = 1;

getName() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

string name = 1;

getName() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder

string name = 1;

getName() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

string name = 1;

getName() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

string name = 1;

getName() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder

string name = 1;

getName() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

string name = 1;

getName() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

string name = 1;

getName() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder

string name = 1;

getName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string name = 1;

getName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

string name = 1;

getName() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder

string name = 1;

getName() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

Name of an attr from the Op.

getName() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

Name of an attr from the Op.

getName() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder

Name of an attr from the Op.

getName() - Method in class org.tensorflow.framework.NameAttrList.Builder

string name = 1;

getName() - Method in class org.tensorflow.framework.NameAttrList

string name = 1;

getName() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder

string name = 1;

getName() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

Name of the tensor.

getName() - Method in class org.tensorflow.framework.NamedTensorProto

Name of the tensor.

getName() - Method in interface org.tensorflow.framework.NamedTensorProtoOrBuilder

Name of the tensor.

getName() - Method in class org.tensorflow.framework.NodeDef.Builder

The name given to this operator.

getName() - Method in class org.tensorflow.framework.NodeDef

The name given to this operator.

getName() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

The name given to this operator.

getName() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Name for the input/output.

getName() - Method in class org.tensorflow.framework.OpDef.ArgDef

Name for the input/output.

getName() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

Name for the input/output.

getName() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A descriptive name for the argument.

getName() - Method in class org.tensorflow.framework.OpDef.AttrDef

A descriptive name for the argument.

getName() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

A descriptive name for the argument.

getName() - Method in class org.tensorflow.framework.OpDef.Builder

Op names starting with an underscore are reserved for internal use.

getName() - Method in class org.tensorflow.framework.OpDef

Op names starting with an underscore are reserved for internal use.

getName() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Op names starting with an underscore are reserved for internal use.

getName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name of this resource.

getName() - Method in class org.tensorflow.framework.ResourceHandleProto

Unique name of this resource.

getName() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder

Unique name of this resource.

getName() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

string name = 1;

getName() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

string name = 1;

getName() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder

string name = 1;

getName() - Method in class org.tensorflow.framework.TensorInfo.Builder

For dense `Tensor`s, the name of the tensor in the graph.

getName() - Method in class org.tensorflow.framework.TensorInfo

For dense `Tensor`s, the name of the tensor in the graph.

getName() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

For dense `Tensor`s, the name of the tensor in the graph.

getName() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

Optional name of the tensor dimension.

getName() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

Optional name of the tensor dimension.

getName() - Method in interface org.tensorflow.framework.TensorShapeProto.DimOrBuilder

Optional name of the tensor dimension.

getName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

A name for the Tensor.

getName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

A name for the Tensor.

getName() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder

A name for the Tensor.

getName() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

string name = 1;

getName() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

string name = 1;

getName() - Method in interface tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder

string name = 1;

getName() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string name = 2;

getName() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

string name = 2;

getName() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

string name = 2;

getName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated string name = 2;

getName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

repeated string name = 2;

getName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder

repeated string name = 2;

getNameBytes() - Method in class onnx.Onnx.AttributeProto.Builder

The name field MUST be present for this version of the IR.

getNameBytes() - Method in class onnx.Onnx.AttributeProto

The name field MUST be present for this version of the IR.

getNameBytes() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

The name field MUST be present for this version of the IR.

getNameBytes() - Method in class onnx.Onnx.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

getNameBytes() - Method in class onnx.Onnx.FunctionProto

The name of the function, similar usage of op_type in OperatorProto.

getNameBytes() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The name of the function, similar usage of op_type in OperatorProto.

getNameBytes() - Method in class onnx.Onnx.GraphProto.Builder

The name of the graph.

getNameBytes() - Method in class onnx.Onnx.GraphProto

The name of the graph.

getNameBytes() - Method in interface onnx.Onnx.GraphProtoOrBuilder

The name of the graph.

getNameBytes() - Method in class onnx.Onnx.NodeProto.Builder

An optional identifier for this node in a graph.

getNameBytes() - Method in class onnx.Onnx.NodeProto

An optional identifier for this node in a graph.

getNameBytes() - Method in interface onnx.Onnx.NodeProtoOrBuilder

An optional identifier for this node in a graph.

getNameBytes() - Method in class onnx.Onnx.TensorProto.Builder

Optionally, a name for the tensor.

getNameBytes() - Method in class onnx.Onnx.TensorProto

Optionally, a name for the tensor.

getNameBytes() - Method in interface onnx.Onnx.TensorProtoOrBuilder

Optionally, a name for the tensor.

getNameBytes() - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getNameBytes() - Method in class onnx.Onnx.ValueInfoProto

This field MUST be present in this version of the IR.

getNameBytes() - Method in interface onnx.Onnx.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getNameBytes() - Method in class onnx.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

getNameBytes() - Method in class onnx.OnnxMl.AttributeProto

The name field MUST be present for this version of the IR.

getNameBytes() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

The name field MUST be present for this version of the IR.

getNameBytes() - Method in class onnx.OnnxMl.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

getNameBytes() - Method in class onnx.OnnxMl.FunctionProto

The name of the function, similar usage of op_type in OperatorProto.

getNameBytes() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The name of the function, similar usage of op_type in OperatorProto.

getNameBytes() - Method in class onnx.OnnxMl.GraphProto.Builder

The name of the graph.

getNameBytes() - Method in class onnx.OnnxMl.GraphProto

The name of the graph.

getNameBytes() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The name of the graph.

getNameBytes() - Method in class onnx.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

getNameBytes() - Method in class onnx.OnnxMl.NodeProto

An optional identifier for this node in a graph.

getNameBytes() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

An optional identifier for this node in a graph.

getNameBytes() - Method in class onnx.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

getNameBytes() - Method in class onnx.OnnxMl.TensorProto

Optionally, a name for the tensor.

getNameBytes() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

Optionally, a name for the tensor.

getNameBytes() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

getNameBytes() - Method in class onnx.OnnxMl.TypeProto.Opaque

The name is optional but significant when provided.

getNameBytes() - Method in interface onnx.OnnxMl.TypeProto.OpaqueOrBuilder

The name is optional but significant when provided.

getNameBytes() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getNameBytes() - Method in class onnx.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR.

getNameBytes() - Method in interface onnx.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getNameBytes() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string name = 1;

getNameBytes() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

string name = 1;

getNameBytes() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

string name = 1;

getNameBytes() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

string name = 1;

getNameBytes() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

string name = 1;

getNameBytes() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder

string name = 1;

getNameBytes() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Optionally, a name for the tensor.

getNameBytes() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

Optionally, a name for the tensor.

getNameBytes() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

Optionally, a name for the tensor.

getNameBytes() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getNameBytes() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

This field MUST be present in this version of the IR.

getNameBytes() - Method in interface org.nd4j.ir.TensorNamespace.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getNameBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string name = 1;

getNameBytes() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

string name = 1;

getNameBytes() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

string name = 1;

getNameBytes() - Method in class org.tensorflow.distruntime.JobDef.Builder

The name of this job.

getNameBytes() - Method in class org.tensorflow.distruntime.JobDef

The name of this job.

getNameBytes() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder

The name of this job.

getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Arg

string name = 1;

getNameBytes() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Attr

string name = 1;

getNameBytes() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

Name should be either like "CamelCaseName" or "Package.CamelCaseName".

getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint

Name should be either like "CamelCaseName" or "Package.CamelCaseName".

getNameBytes() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder

Name should be either like "CamelCaseName" or "Package.CamelCaseName".

getNameBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The name of the node.

getNameBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node

The name of the node.

getNameBytes() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

The name of the node.

getNameBytes() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Fully specified name of the device within a cluster.

getNameBytes() - Method in class org.tensorflow.framework.DeviceAttributes

Fully specified name of the device within a cluster.

getNameBytes() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

Fully specified name of the device within a cluster.

getNameBytes() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

string name = 1;

getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

string name = 1;

getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

string name = 1;

getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

string name = 1;

getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

Name of an attr from the Op.

getNameBytes() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

Name of an attr from the Op.

getNameBytes() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder

Name of an attr from the Op.

getNameBytes() - Method in class org.tensorflow.framework.NameAttrList.Builder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.NameAttrList

string name = 1;

getNameBytes() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

Name of the tensor.

getNameBytes() - Method in class org.tensorflow.framework.NamedTensorProto

Name of the tensor.

getNameBytes() - Method in interface org.tensorflow.framework.NamedTensorProtoOrBuilder

Name of the tensor.

getNameBytes() - Method in class org.tensorflow.framework.NodeDef.Builder

The name given to this operator.

getNameBytes() - Method in class org.tensorflow.framework.NodeDef

The name given to this operator.

getNameBytes() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

The name given to this operator.

getNameBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Name for the input/output.

getNameBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef

Name for the input/output.

getNameBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

Name for the input/output.

getNameBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A descriptive name for the argument.

getNameBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef

A descriptive name for the argument.

getNameBytes() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

A descriptive name for the argument.

getNameBytes() - Method in class org.tensorflow.framework.OpDef.Builder

Op names starting with an underscore are reserved for internal use.

getNameBytes() - Method in class org.tensorflow.framework.OpDef

Op names starting with an underscore are reserved for internal use.

getNameBytes() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Op names starting with an underscore are reserved for internal use.

getNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name of this resource.

getNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto

Unique name of this resource.

getNameBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder

Unique name of this resource.

getNameBytes() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

string name = 1;

getNameBytes() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder

string name = 1;

getNameBytes() - Method in class org.tensorflow.framework.TensorInfo.Builder

For dense `Tensor`s, the name of the tensor in the graph.

getNameBytes() - Method in class org.tensorflow.framework.TensorInfo

For dense `Tensor`s, the name of the tensor in the graph.

getNameBytes() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

For dense `Tensor`s, the name of the tensor in the graph.

getNameBytes() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

Optional name of the tensor dimension.

getNameBytes() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

Optional name of the tensor dimension.

getNameBytes() - Method in interface org.tensorflow.framework.TensorShapeProto.DimOrBuilder

Optional name of the tensor dimension.

getNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

A name for the Tensor.

getNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

A name for the Tensor.

getNameBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder

A name for the Tensor.

getNameBytes() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

string name = 1;

getNameBytes() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

string name = 1;

getNameBytes() - Method in interface tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder

string name = 1;

getNameBytes() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string name = 2;

getNameBytes() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

string name = 2;

getNameBytes() - Method in interface tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder

string name = 2;

getNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated string name = 2;

getNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

repeated string name = 2;

getNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder

repeated string name = 2;

getNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated string name = 2;

getNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

repeated string name = 2;

getNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder

repeated string name = 2;

getNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated string name = 2;

getNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

repeated string name = 2;

getNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingDefinitionSetOrBuilder

repeated string name = 2;

getNDArrayClass() - Method in class org.nd4j.linalg.factory.Nd4jBackend

Get the actual (concrete/implementation) class for standard INDArrays for this backend

getNDArrayFactory() - Static method in class org.nd4j.linalg.factory.Nd4j

getNDArrayFromTensor(NodeDef) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Convert the tensor to an NDArray (if possible and if array is available)

getNestedContexts(int) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContexts(int) - Method in class org.tensorflow.framework.CondContextDef

Contexts contained inside this context (e.g.

getNestedContexts(int) - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Contexts contained inside this context (e.g.

getNestedContexts(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContexts(int) - Method in class org.tensorflow.framework.WhileContextDef

Contexts contained inside this context (e.g.

getNestedContexts(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Contexts contained inside this context (e.g.

getNestedContextsBuilder(int) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsBuilder(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsBuilderList() - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsBuilderList() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsCount() - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsCount() - Method in class org.tensorflow.framework.CondContextDef

Contexts contained inside this context (e.g.

getNestedContextsCount() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Contexts contained inside this context (e.g.

getNestedContextsCount() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsCount() - Method in class org.tensorflow.framework.WhileContextDef

Contexts contained inside this context (e.g.

getNestedContextsCount() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Contexts contained inside this context (e.g.

getNestedContextsList() - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsList() - Method in class org.tensorflow.framework.CondContextDef

Contexts contained inside this context (e.g.

getNestedContextsList() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Contexts contained inside this context (e.g.

getNestedContextsList() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsList() - Method in class org.tensorflow.framework.WhileContextDef

Contexts contained inside this context (e.g.

getNestedContextsList() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Contexts contained inside this context (e.g.

getNestedContextsOrBuilder(int) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsOrBuilder(int) - Method in class org.tensorflow.framework.CondContextDef

Contexts contained inside this context (e.g.

getNestedContextsOrBuilder(int) - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Contexts contained inside this context (e.g.

getNestedContextsOrBuilder(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsOrBuilder(int) - Method in class org.tensorflow.framework.WhileContextDef

Contexts contained inside this context (e.g.

getNestedContextsOrBuilder(int) - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Contexts contained inside this context (e.g.

getNestedContextsOrBuilderList() - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsOrBuilderList() - Method in class org.tensorflow.framework.CondContextDef

Contexts contained inside this context (e.g.

getNestedContextsOrBuilderList() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Contexts contained inside this context (e.g.

getNestedContextsOrBuilderList() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

getNestedContextsOrBuilderList() - Method in class org.tensorflow.framework.WhileContextDef

Contexts contained inside this context (e.g.

getNestedContextsOrBuilderList() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Contexts contained inside this context (e.g.

getNewAllSatisfied() - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

Returns the next new dependent (Y in X->Y) that has all dependees (Xs) marked as satisfied via AbstractDependencyTracker.markSatisfied(Object, boolean) Throws an exception if AbstractDependencyTracker.hasNewAllSatisfied() returns false.
Note that once a value has been retrieved from here, no new dependencies of the form (X -> Y) can be added for this value; the value is considered "processed" at this point.

getNewAllSatisfiedList() - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

getNewGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

The new version number for the extended graph, to be used in the next call to ExtendSession.

getNewGraphVersion() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

The new version number for the extended graph, to be used in the next call to ExtendSession.

getNewGraphVersion() - Method in interface org.tensorflow.distruntime.ExtendSessionResponseOrBuilder

The new version number for the extended graph, to be used in the next call to ExtendSession.

getNewRandomInstance() - Method in class org.nd4j.linalg.factory.RandomFactory

This method returns new onject implementing Random interface, initialized with System.currentTimeMillis() as seed

getNewRandomInstance(long) - Method in class org.nd4j.linalg.factory.RandomFactory

This method returns new onject implementing Random interface, initialized with seed value

getNewRandomInstance(long, long) - Method in class org.nd4j.linalg.factory.RandomFactory

This method returns a new object implementing Random interface, initialized with seed value, with size of elements in buffer

getNextStepId() - Method in class org.tensorflow.distruntime.StepSequence.Builder

int64 next_step_id = 2;

getNextStepId() - Method in class org.tensorflow.distruntime.StepSequence

int64 next_step_id = 2;

getNextStepId() - Method in interface org.tensorflow.distruntime.StepSequenceOrBuilder

int64 next_step_id = 2;

getNMixtures() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

Returns the number of gaussians this loss function will attempt to find.

getNode(int) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

getNode(int) - Method in class onnx.Onnx.FunctionProto

The nodes in the function.

getNode(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The nodes in the function.

getNode(int) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNode(int) - Method in class onnx.Onnx.GraphProto

The nodes in the graph, sorted topologically.

getNode(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNode(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

getNode(int) - Method in class onnx.OnnxMl.FunctionProto

The nodes in the function.

getNode(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The nodes in the function.

getNode(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNode(int) - Method in class onnx.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNode(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNode(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNode(int) - Method in class org.tensorflow.framework.CostGraphDef

repeated .tensorflow.CostGraphDef.Node node = 1;

getNode(int) - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNode(int) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

getNode(int) - Method in class org.tensorflow.framework.GraphDef

repeated .tensorflow.NodeDef node = 1;

getNode(int) - Method in interface org.tensorflow.framework.GraphDefOrBuilder

repeated .tensorflow.NodeDef node = 1;

getNodeBuilder(int) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

getNodeBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeBuilder(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

getNodeBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeBuilder(int) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

getNodeBuilderList() - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

getNodeBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeBuilderList() - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

getNodeBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeBuilderList() - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

getNodeCount() - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

getNodeCount() - Method in class onnx.Onnx.FunctionProto

The nodes in the function.

getNodeCount() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The nodes in the function.

getNodeCount() - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeCount() - Method in class onnx.Onnx.GraphProto

The nodes in the graph, sorted topologically.

getNodeCount() - Method in interface onnx.Onnx.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeCount() - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

getNodeCount() - Method in class onnx.OnnxMl.FunctionProto

The nodes in the function.

getNodeCount() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The nodes in the function.

getNodeCount() - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeCount() - Method in class onnx.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNodeCount() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeCount() - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeCount() - Method in class org.tensorflow.framework.CostGraphDef

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeCount() - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeCount() - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

getNodeCount() - Method in class org.tensorflow.framework.GraphDef

repeated .tensorflow.NodeDef node = 1;

getNodeCount() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

repeated .tensorflow.NodeDef node = 1;

getNodeDef(int) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDef(int) - Method in class org.tensorflow.framework.FunctionDef

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDef(int) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefBuilder(int) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefBuilderList() - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefCount() - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefCount() - Method in class org.tensorflow.framework.FunctionDef

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefCount() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefList() - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefList() - Method in class org.tensorflow.framework.FunctionDef

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefList() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDef

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefOrBuilder(int) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefOrBuilderList() - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefOrBuilderList() - Method in class org.tensorflow.framework.FunctionDef

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeDefOrBuilderList() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

getNodeId() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

int32 node_id = 2;

getNodeId() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

int32 node_id = 2;

getNodeId() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder

int32 node_id = 2;

getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 node_id = 2;

getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

int32 node_id = 2;

getNodeId() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder

int32 node_id = 2;

getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

int32 node_id = 1;

getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInput

int32 node_id = 1;

getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

int32 node_id = 1;

getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

int32 node_id = 1;

getNodeId() - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder

int32 node_id = 1;

getNodeId() - Method in interface org.tensorflow.framework.GraphTransferNodeInputOrBuilder

int32 node_id = 1;

getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

int32 node_id = 1;

getNodeId() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

int32 node_id = 1;

getNodeId() - Method in interface org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder

int32 node_id = 1;

getNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.

getNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.

getNodeId() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder

An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.

getNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

getNodeInput(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInput(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInput(int) - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputBuilder(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputBuilderList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputCount() - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

getNodeInputList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputList() - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeInputOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

getNodeList() - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

getNodeList() - Method in class onnx.Onnx.FunctionProto

The nodes in the function.

getNodeList() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The nodes in the function.

getNodeList() - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeList() - Method in class onnx.Onnx.GraphProto

The nodes in the graph, sorted topologically.

getNodeList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeList() - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

getNodeList() - Method in class onnx.OnnxMl.FunctionProto

The nodes in the function.

getNodeList() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The nodes in the function.

getNodeList() - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeList() - Method in class onnx.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNodeList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.NodeList node_list = 1;

getNodeList() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.NodeList node_list = 1;

getNodeList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.NodeList node_list = 1;

getNodeList() - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeList() - Method in class org.tensorflow.framework.CostGraphDef

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeList() - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeList() - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

getNodeList() - Method in class org.tensorflow.framework.GraphDef

repeated .tensorflow.NodeDef node = 1;

getNodeList() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

repeated .tensorflow.NodeDef node = 1;

getNodeListBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.NodeList node_list = 1;

getNodeListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.NodeList node_list = 1;

getNodeListOrBuilder() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.NodeList node_list = 1;

getNodeListOrBuilder() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.NodeList node_list = 1;

getNodeName() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name of the node to watch.

getNodeName() - Method in class org.tensorflow.framework.DebugTensorWatch

Name of the node to watch.

getNodeName() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

Name of the node to watch.

getNodeName() - Method in class org.tensorflow.framework.NodeExecStats.Builder

TODO(tucker): Use some more compact form of node identity than the full string name.

getNodeName() - Method in class org.tensorflow.framework.NodeExecStats

TODO(tucker): Use some more compact form of node identity than the full string name.

getNodeName() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

TODO(tucker): Use some more compact form of node identity than the full string name.

getNodeName() - Method in class org.tensorflow.framework.Summary.Value.Builder

This field is deprecated and will not be set.

getNodeName() - Method in class org.tensorflow.framework.Summary.Value

This field is deprecated and will not be set.

getNodeName() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

This field is deprecated and will not be set.

getNodeName(String) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Deprecated.

To be removed

getNodeNameBytes() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name of the node to watch.

getNodeNameBytes() - Method in class org.tensorflow.framework.DebugTensorWatch

Name of the node to watch.

getNodeNameBytes() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

Name of the node to watch.

getNodeNameBytes() - Method in class org.tensorflow.framework.NodeExecStats.Builder

TODO(tucker): Use some more compact form of node identity than the full string name.

getNodeNameBytes() - Method in class org.tensorflow.framework.NodeExecStats

TODO(tucker): Use some more compact form of node identity than the full string name.

getNodeNameBytes() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

TODO(tucker): Use some more compact form of node identity than the full string name.

getNodeNameBytes() - Method in class org.tensorflow.framework.Summary.Value.Builder

This field is deprecated and will not be set.

getNodeNameBytes() - Method in class org.tensorflow.framework.Summary.Value

This field is deprecated and will not be set.

getNodeNameBytes() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

This field is deprecated and will not be set.

getNodeOrBuilder(int) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

getNodeOrBuilder(int) - Method in class onnx.Onnx.FunctionProto

The nodes in the function.

getNodeOrBuilder(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The nodes in the function.

getNodeOrBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeOrBuilder(int) - Method in class onnx.Onnx.GraphProto

The nodes in the graph, sorted topologically.

getNodeOrBuilder(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeOrBuilder(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

getNodeOrBuilder(int) - Method in class onnx.OnnxMl.FunctionProto

The nodes in the function.

getNodeOrBuilder(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The nodes in the function.

getNodeOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNodeOrBuilder(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeOrBuilder(int) - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeOrBuilder(int) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

getNodeOrBuilder(int) - Method in class org.tensorflow.framework.GraphDef

repeated .tensorflow.NodeDef node = 1;

getNodeOrBuilder(int) - Method in interface org.tensorflow.framework.GraphDefOrBuilder

repeated .tensorflow.NodeDef node = 1;

getNodeOrBuilderList() - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

getNodeOrBuilderList() - Method in class onnx.Onnx.FunctionProto

The nodes in the function.

getNodeOrBuilderList() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

The nodes in the function.

getNodeOrBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeOrBuilderList() - Method in class onnx.Onnx.GraphProto

The nodes in the graph, sorted topologically.

getNodeOrBuilderList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeOrBuilderList() - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

getNodeOrBuilderList() - Method in class onnx.OnnxMl.FunctionProto

The nodes in the function.

getNodeOrBuilderList() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

The nodes in the function.

getNodeOrBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeOrBuilderList() - Method in class onnx.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNodeOrBuilderList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeOrBuilderList() - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder

repeated .tensorflow.CostGraphDef.Node node = 1;

getNodeOrBuilderList() - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

getNodeOrBuilderList() - Method in class org.tensorflow.framework.GraphDef

repeated .tensorflow.NodeDef node = 1;

getNodeOrBuilderList() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

repeated .tensorflow.NodeDef node = 1;

getNodeOutputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodeOutputInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

getNodes() - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode

getNodes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodes(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesCount() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesOrBuilder(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodesOrBuilderList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

getNodeStats(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStats(int) - Method in class org.tensorflow.framework.DeviceStepStats

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStats(int) - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsBuilderList() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsCount() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsCount() - Method in class org.tensorflow.framework.DeviceStepStats

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsCount() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsList() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsList() - Method in class org.tensorflow.framework.DeviceStepStats

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsList() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsOrBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsOrBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsOrBuilder(int) - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsOrBuilderList() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsOrBuilderList() - Method in class org.tensorflow.framework.DeviceStepStats

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeStatsOrBuilderList() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder

repeated .tensorflow.NodeExecStats node_stats = 2;

getNodeWithNameFromGraph(GraphDef, String) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Deprecated.

getNum() - Method in class org.tensorflow.framework.HistogramProto.Builder

double num = 3;

getNum() - Method in class org.tensorflow.framework.HistogramProto

double num = 3;

getNum() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

double num = 3;

getNumaNode() - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional NUMA locality of device.

getNumaNode() - Method in class org.tensorflow.framework.DeviceLocality

Optional NUMA locality of device.

getNumaNode() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder

Optional NUMA locality of device.

getNumber() - Method in enum onnx.Onnx.AttributeProto.AttributeType

getNumber() - Method in enum onnx.Onnx.OperatorStatus

getNumber() - Method in enum onnx.Onnx.TensorProto.DataLocation

getNumber() - Method in enum onnx.Onnx.TensorProto.DataType

getNumber() - Method in enum onnx.Onnx.TensorShapeProto.Dimension.ValueCase

getNumber() - Method in enum onnx.Onnx.TypeProto.ValueCase

getNumber() - Method in enum onnx.Onnx.Version

getNumber() - Method in enum onnx.OnnxMl.AttributeProto.AttributeType

getNumber() - Method in enum onnx.OnnxMl.OperatorStatus

getNumber() - Method in enum onnx.OnnxMl.TensorProto.DataLocation

getNumber() - Method in enum onnx.OnnxMl.TensorProto.DataType

getNumber() - Method in enum onnx.OnnxMl.TensorShapeProto.Dimension.ValueCase

getNumber() - Method in enum onnx.OnnxMl.TypeProto.ValueCase

getNumber() - Method in enum onnx.OnnxMl.Version

getNumber() - Method in enum org.nd4j.ir.MapperNamespace.OpListType

getNumber() - Method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

getNumber() - Method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

getNumber() - Method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

getNumber() - Method in enum org.nd4j.ir.TensorNamespace.DataType

getNumber() - Method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

getNumber() - Method in enum org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase

getNumber() - Method in enum org.nd4j.ir.TensorNamespace.TypeProto.ValueCase

getNumber() - Method in enum org.tensorflow.framework.ApiDef.Visibility

getNumber() - Method in enum org.tensorflow.framework.AttrValue.ValueCase

getNumber() - Method in enum org.tensorflow.framework.Code

getNumber() - Method in enum org.tensorflow.framework.CollectionDef.KindCase

getNumber() - Method in enum org.tensorflow.framework.ControlFlowContextDef.CtxtCase

getNumber() - Method in enum org.tensorflow.framework.DataType

getNumber() - Method in enum org.tensorflow.framework.GraphTransferInfo.Destination

getNumber() - Method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

getNumber() - Method in enum org.tensorflow.framework.OptimizerOptions.Level

getNumber() - Method in enum org.tensorflow.framework.RewriterConfig.MemOptType

getNumber() - Method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

getNumber() - Method in enum org.tensorflow.framework.RewriterConfig.Toggle

getNumber() - Method in enum org.tensorflow.framework.RunOptions.TraceLevel

getNumber() - Method in enum org.tensorflow.framework.Summary.Value.ValueCase

getNumber() - Method in enum org.tensorflow.framework.TensorInfo.EncodingCase

getNumber() - Method in enum org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase

getNumber() - Method in enum org.tensorflow.util.BundleHeaderProto.Endianness

getNumber() - Method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

getNumber() - Method in enum tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase

getNumber(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getNumber(long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Get element i in the buffer as a double

getNumber(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getNumber(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get the numeric value at the specified index.

getNumber(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getNumber(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get a numeric value at the specified indices.

getNumberAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "int"

getNumberAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef

if specified, attr must have type "int"

getNumberAttr() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

if specified, attr must have type "int"

getNumberAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "int"

getNumberAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef

if specified, attr must have type "int"

getNumberAttrBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

if specified, attr must have type "int"

getNumberOfDevices() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns number of available devices

getNumberOfDevices() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

getNumberOfExternalAllocations() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns number of spilled allocations, that can be purged at the end of block

getNumberOfPinnedAllocations() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns number of pinned allocations, they can be purged after 2 steps.

getNumberOfTrials() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Access the number of trials for this distribution.

getNumBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Size of value expected, must agree with BufRendezvous entry.

getNumBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest

Size of value expected, must agree with BufRendezvous entry.

getNumBytes() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Size of value expected, must agree with BufRendezvous entry.

getNumBytes() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Byte length of buf_ptr field, if set.

getNumBytes() - Method in class org.tensorflow.distruntime.RecvBufResponse

Byte length of buf_ptr field, if set.

getNumBytes() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder

Byte length of buf_ptr field, if set.

getNumBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Number of bytes in the allocation.

getNumBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

Number of bytes in the allocation.

getNumBytes() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder

Number of bytes in the allocation.

getNumChannels() - Method in class org.tensorflow.framework.Summary.Audio.Builder

Number of channels of audio.

getNumChannels() - Method in class org.tensorflow.framework.Summary.Audio

Number of channels of audio.

getNumChannels() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder

Number of channels of audio.

getNumClasses() - Method in class org.nd4j.evaluation.classification.ROCMultiClass

getNumCores() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Number of cores

getNumCores() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Number of cores

getNumCores() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Number of cores

getNumericalMean() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Use this method to get the numerical value of the mean of this distribution.

getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Use this method to get the numerical value of the mean of this distribution.

getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Use this method to get the numerical value of the mean of this distribution.

getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Use this method to get the numerical value of the mean of this distribution.

getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Use this method to get the numerical value of the mean of this distribution.

getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Use this method to get the numerical value of the mean of this distribution.

getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Use this method to get the numerical value of the mean of this distribution.

getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Use this method to get the numerical value of the mean of this distribution.

getNumericalVariance() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Use this method to get the numerical value of the variance of this distribution.

getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Use this method to get the numerical value of the variance of this distribution.

getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Use this method to get the numerical value of the variance of this distribution.

getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Use this method to get the numerical value of the variance of this distribution.

getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Use this method to get the numerical value of the variance of this distribution.

getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Use this method to get the numerical value of the variance of this distribution.

getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Use this method to get the numerical value of the variance of this distribution.

getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Use this method to get the numerical value of the variance of this distribution.

getNumNewAxes() - Method in class org.nd4j.linalg.indexing.IndexInfo

getNumOutputs() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.BaseOp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.custom.Invoke

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SparseSoftmaxCrossEntropyLossWithLogitsBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.MergeAvgBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.MergeMaxBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.MeshGrid

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.SetShape

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.ShapeN

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttention

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.MergeAddBp

getNumOutputs() - Method in class org.nd4j.linalg.api.ops.NoOp

getNumPoints() - Method in class org.nd4j.linalg.indexing.IndexInfo

getNumRecordsProduced() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

int64 num_records_produced = 3;

getNumRecordsProduced() - Method in class org.tensorflow.framework.ReaderBaseState

int64 num_records_produced = 3;

getNumRecordsProduced() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder

int64 num_records_produced = 3;

getNumRegisters() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Number of registers per core.

getNumRegisters() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Number of registers per core.

getNumRegisters() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Number of registers per core.

getNumReplicas() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

int32 num_replicas = 2;

getNumReplicas() - Method in class org.tensorflow.framework.AutoParallelOptions

int32 num_replicas = 2;

getNumReplicas() - Method in interface org.tensorflow.framework.AutoParallelOptionsOrBuilder

int32 num_replicas = 2;

getNumRowCounter() - Method in class org.nd4j.evaluation.classification.Evaluation

getNumShards() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Number of data files in the bundle.

getNumShards() - Method in class org.tensorflow.util.BundleHeaderProto

Number of data files in the bundle.

getNumShards() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder

Number of data files in the bundle.

getNumTasks() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

number of distinct tasks hosting the devices

getNumTasks() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

number of distinct tasks hosting the devices

getNumTasks() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

number of distinct tasks hosting the devices

getNumThreads() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

The number of threads in the pool.

getNumThreads() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

The number of threads in the pool.

getNumThreads() - Method in interface org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder

The number of threads in the pool.

getObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value.Builder

bytes obsolete_old_style_histogram = 3;

getObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value

bytes obsolete_old_style_histogram = 3;

getObsoleteOldStyleHistogram() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

bytes obsolete_old_style_histogram = 3;

getOccasionalGcFrequency() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

getOccasionalGcFrequency() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method returns

getOffset() - Method in class org.tensorflow.util.BundleEntryProto.Builder

int64 offset = 4;

getOffset() - Method in class org.tensorflow.util.BundleEntryProto

int64 offset = 4;

getOffset() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

int64 offset = 4;

getOffset(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffset(long[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffset(long[], long...) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffset(long, int[], int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape

Get an offset for retrieval from a data buffer based on the given shape stride and given indices

getOffset(IntBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the offset of the specified [row,col] for the 2d array

getOffset(IntBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the offset of the specified [dim0,dim1,dim2] for the 3d array

getOffset(IntBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the offset of the specified [dim0,dim1,dim2,dim3] for the 4d array

getOffset(IntBuffer, long...) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffset(LongBuffer, long...) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the offset of the specified indices from the shape info buffer

getOffset(DataBuffer, int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Deprecated.

getOffset(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the offset of the specified [row,col] for the 2d array

getOffset(DataBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the offset of the specified [dim0,dim1,dim2] for the 3d array

getOffset(DataBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the offset of the specified [dim0,dim1,dim2,dim3] for the 4d array

getOffset(DataBuffer, long...) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffsetUnsafe(int[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffsetUnsafe(int[], int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffsetUnsafe(int[], int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffsetUnsafe(long[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffsetUnsafe(long[], long, long, long, long) - Static method in class org.nd4j.linalg.api.shape.Shape

getOffsetUnsafe(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Identical to Shape.getOffset(DataBuffer, int, int) but without input validation on array rank

getOffsetUnsafe(DataBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Identical to Shape.getOffset(DataBuffer, int, int, int) but without input validation on array rank

getOffsetUnsafe(DataBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

getOnnxOpMappingFunctions() - Static method in class org.nd4j.imports.converters.ImportClassMapping

getOp() - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

getOp() - Method in class org.tensorflow.framework.KernelDef.Builder

Must match the name of an Op.

getOp() - Method in class org.tensorflow.framework.KernelDef

Must match the name of an Op.

getOp() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

Must match the name of an Op.

getOp() - Method in class org.tensorflow.framework.NodeDef.Builder

The operation name.

getOp() - Method in class org.tensorflow.framework.NodeDef

The operation name.

getOp() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

The operation name.

getOp(int) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

getOp(int) - Method in class org.tensorflow.framework.ApiDefs

repeated .tensorflow.ApiDef op = 1;

getOp(int) - Method in interface org.tensorflow.framework.ApiDefsOrBuilder

repeated .tensorflow.ApiDef op = 1;

getOp(int) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

getOp(int) - Method in class org.tensorflow.framework.OpList

repeated .tensorflow.OpDef op = 1;

getOp(int) - Method in interface org.tensorflow.framework.OpListOrBuilder

repeated .tensorflow.OpDef op = 1;

getOpaqueType() - Method in class onnx.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueType() - Method in class onnx.OnnxMl.TypeProto

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueTypeBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueTypeOrBuilder() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpBuilder(int) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

getOpBuilder(int) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

getOpBuilderList() - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

getOpBuilderList() - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

getOpById(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get the function by the DifferentialFunction#getOwnName()

getOpBytes() - Method in class org.tensorflow.framework.KernelDef.Builder

Must match the name of an Op.

getOpBytes() - Method in class org.tensorflow.framework.KernelDef

Must match the name of an Op.

getOpBytes() - Method in interface org.tensorflow.framework.KernelDefOrBuilder

Must match the name of an Op.

getOpBytes() - Method in class org.tensorflow.framework.NodeDef.Builder

The operation name.

getOpBytes() - Method in class org.tensorflow.framework.NodeDef

The operation name.

getOpBytes() - Method in interface org.tensorflow.framework.NodeDefOrBuilder

The operation name.

getOpClass(CustomOp) - Method in class org.nd4j.linalg.profiler.OpProfiler

getOpClass(Op) - Method in class org.nd4j.linalg.profiler.OpProfiler

This method returns op class opName

getOpClasses() - Static method in class org.nd4j.imports.converters.ImportClassMapping

getOpCount() - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

getOpCount() - Method in class org.tensorflow.framework.ApiDefs

repeated .tensorflow.ApiDef op = 1;

getOpCount() - Method in interface org.tensorflow.framework.ApiDefsOrBuilder

repeated .tensorflow.ApiDef op = 1;

getOpCount() - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

getOpCount() - Method in class org.tensorflow.framework.OpList

repeated .tensorflow.OpDef op = 1;

getOpCount() - Method in interface org.tensorflow.framework.OpListOrBuilder

repeated .tensorflow.OpDef op = 1;

getOpDeclarationType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

.org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;

getOpDeclarationType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

.org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;

getOpDeclarationType() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder

.org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;

getOpDeclarationTypeValue() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

.org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;

getOpDeclarationTypeValue() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

.org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;

getOpDeclarationTypeValue() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorOrBuilder

.org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;

getOpDefByTensorflowName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

Get the op definition of a given tensorflow op.

getOpDescriptorForOnnx(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

Get the op definition of a given onnx op Note that if the name does not exist, an ND4JIllegalStateException will be thrown.

getOpEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 op_end_rel_micros = 4;

getOpEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats

int64 op_end_rel_micros = 4;

getOpEndRelMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

int64 op_end_rel_micros = 4;

getOperation() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the operation making the allocation.

getOperation() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

Name of the operation making the allocation.

getOperation() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder

Name of the operation making the allocation.

getOperation() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the operation making the deallocation.

getOperation() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

Name of the operation making the deallocation.

getOperation() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder

Name of the operation making the deallocation.

getOperation() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.Operation operation = 2;

getOperation() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

.tensorflow.eager.Operation operation = 2;

getOperation() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder

.tensorflow.eager.Operation operation = 2;

getOperationBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.Operation operation = 2;

getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the operation making the allocation.

getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

Name of the operation making the allocation.

getOperationBytes() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder

Name of the operation making the allocation.

getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the operation making the deallocation.

getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

Name of the operation making the deallocation.

getOperationBytes() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder

Name of the operation making the deallocation.

getOperationOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.Operation operation = 2;

getOperationOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

.tensorflow.eager.Operation operation = 2;

getOperationOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder

.tensorflow.eager.Operation operation = 2;

getOperationTimeoutInMs() - Method in class org.tensorflow.framework.ConfigProto.Builder

Global timeout for all blocking operations in this session.

getOperationTimeoutInMs() - Method in class org.tensorflow.framework.ConfigProto

Global timeout for all blocking operations in this session.

getOperationTimeoutInMs() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Global timeout for all blocking operations in this session.

getOperator(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

getOperator(int) - Method in class onnx.OnnxOperators.OperatorSetProto

The operators specified by this operator set.

getOperator(int) - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The operators specified by this operator set.

getOperatorBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

getOperatorBuilderList() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

getOperatorCount() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

getOperatorCount() - Method in class onnx.OnnxOperators.OperatorSetProto

The operators specified by this operator set.

getOperatorCount() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The operators specified by this operator set.

getOperatorList() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

getOperatorList() - Method in class onnx.OnnxOperators.OperatorSetProto

The operators specified by this operator set.

getOperatorList() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The operators specified by this operator set.

getOperatorOrBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

getOperatorOrBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto

The operators specified by this operator set.

getOperatorOrBuilder(int) - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The operators specified by this operator set.

getOperatorOrBuilderList() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

getOperatorOrBuilderList() - Method in class onnx.OnnxOperators.OperatorSetProto

The operators specified by this operator set.

getOperatorOrBuilderList() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The operators specified by this operator set.

getOpId() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

The ID of the operation that produced this tensor.

getOpId() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

The ID of the operation that produced this tensor.

getOpId() - Method in interface tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandleOrBuilder

The ID of the operation that produced this tensor.

getOpId(int) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

Ids to wait on.

getOpId(int) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

Ids to wait on.

getOpId(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder

Ids to wait on.

getOpIdCount() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

Ids to wait on.

getOpIdCount() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

Ids to wait on.

getOpIdCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder

Ids to wait on.

getOpIdList() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

Ids to wait on.

getOpIdList() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

Ids to wait on.

getOpIdList() - Method in interface tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder

Ids to wait on.

getOpList() - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

getOpList() - Method in class org.tensorflow.framework.ApiDefs

repeated .tensorflow.ApiDef op = 1;

getOpList() - Method in interface org.tensorflow.framework.ApiDefsOrBuilder

repeated .tensorflow.ApiDef op = 1;

getOpList() - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

getOpList() - Method in class org.tensorflow.framework.OpList

repeated .tensorflow.OpDef op = 1;

getOpList() - Method in interface org.tensorflow.framework.OpListOrBuilder

repeated .tensorflow.OpDef op = 1;

getOpList(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpList(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpList(int) - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorListOrBuilder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListBuilder(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListBuilderList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListCount() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListCount() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListCount() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorListOrBuilder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListList() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorListOrBuilder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListOrBuilder(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListOrBuilder(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListOrBuilder(int) - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorListOrBuilder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListOrBuilderList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListOrBuilderList() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpListOrBuilderList() - Method in interface org.nd4j.ir.OpNamespace.OpDescriptorListOrBuilder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

getOpName() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string opName = 2;

getOpName() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

string opName = 2;

getOpName() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

string opName = 2;

getOpName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.getOpName(String, boolean) force is false

getOpName(String, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Generate a new, distinct op name of the form <base>_#.

getOpNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string opName = 2;

getOpNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

string opName = 2;

getOpNameBytes() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

string opName = 2;

getOpNameMapping() - Static method in class org.nd4j.imports.converters.ImportClassMapping

getOpNum(String, Op.Type) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

This method return operation ID for given op name/type pair.

getOpOrBuilder(int) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

getOpOrBuilder(int) - Method in class org.tensorflow.framework.ApiDefs

repeated .tensorflow.ApiDef op = 1;

getOpOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefsOrBuilder

repeated .tensorflow.ApiDef op = 1;

getOpOrBuilder(int) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

getOpOrBuilder(int) - Method in class org.tensorflow.framework.OpList

repeated .tensorflow.OpDef op = 1;

getOpOrBuilder(int) - Method in interface org.tensorflow.framework.OpListOrBuilder

repeated .tensorflow.OpDef op = 1;

getOpOrBuilderList() - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

getOpOrBuilderList() - Method in class org.tensorflow.framework.ApiDefs

repeated .tensorflow.ApiDef op = 1;

getOpOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefsOrBuilder

repeated .tensorflow.ApiDef op = 1;

getOpOrBuilderList() - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

getOpOrBuilderList() - Method in class org.tensorflow.framework.OpList

repeated .tensorflow.OpDef op = 1;

getOpOrBuilderList() - Method in interface org.tensorflow.framework.OpListOrBuilder

repeated .tensorflow.OpDef op = 1;

getOpsetImport(int) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImport(int) - Method in class onnx.Onnx.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImport(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImport(int) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImport(int) - Method in class onnx.Onnx.ModelProto

The OperatorSets this model relies on.

getOpsetImport(int) - Method in interface onnx.Onnx.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImport(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImport(int) - Method in class onnx.OnnxMl.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImport(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImport(int) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImport(int) - Method in class onnx.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImport(int) - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportBuilder(int) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportBuilder(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportBuilderList() - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportBuilderList() - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportBuilderList() - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportBuilderList() - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportCount() - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportCount() - Method in class onnx.Onnx.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportCount() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportCount() - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportCount() - Method in class onnx.Onnx.ModelProto

The OperatorSets this model relies on.

getOpsetImportCount() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportCount() - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportCount() - Method in class onnx.OnnxMl.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportCount() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportCount() - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportCount() - Method in class onnx.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImportCount() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportList() - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportList() - Method in class onnx.Onnx.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportList() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportList() - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportList() - Method in class onnx.Onnx.ModelProto

The OperatorSets this model relies on.

getOpsetImportList() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportList() - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportList() - Method in class onnx.OnnxMl.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportList() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportList() - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportList() - Method in class onnx.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImportList() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportOrBuilder(int) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilder(int) - Method in class onnx.Onnx.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilder(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportOrBuilder(int) - Method in class onnx.Onnx.ModelProto

The OperatorSets this model relies on.

getOpsetImportOrBuilder(int) - Method in interface onnx.Onnx.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportOrBuilder(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilder(int) - Method in class onnx.OnnxMl.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilder(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportOrBuilder(int) - Method in class onnx.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImportOrBuilder(int) - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportOrBuilderList() - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilderList() - Method in class onnx.Onnx.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilderList() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilderList() - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportOrBuilderList() - Method in class onnx.Onnx.ModelProto

The OperatorSets this model relies on.

getOpsetImportOrBuilderList() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportOrBuilderList() - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilderList() - Method in class onnx.OnnxMl.FunctionProto

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilderList() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

repeated .onnx.OperatorSetIdProto opset_import = 9;

getOpsetImportOrBuilderList() - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportOrBuilderList() - Method in class onnx.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImportOrBuilderList() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetVersion() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The version of the set of operators.

getOpsetVersion() - Method in class onnx.OnnxOperators.OperatorSetProto

The version of the set of operators.

getOpsetVersion() - Method in interface onnx.OnnxOperators.OperatorSetProtoOrBuilder

The version of the set of operators.

getOpsInScope(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.getOpsInScope(NameScope).

getOpsInScope(NameScope) - Method in class org.nd4j.autodiff.samediff.SameDiff

Gets all operations in a given name scope.

getOpStartRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 op_start_rel_micros = 3;

getOpStartRelMicros() - Method in class org.tensorflow.framework.NodeExecStats

int64 op_start_rel_micros = 3;

getOpStartRelMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

int64 op_start_rel_micros = 3;

getOptimizerOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options controlling how graph is optimized.

getOptimizerOptions() - Method in class org.tensorflow.framework.GraphOptions

Options controlling how graph is optimized.

getOptimizerOptions() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

Options controlling how graph is optimized.

getOptimizerOptionsBuilder() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options controlling how graph is optimized.

getOptimizerOptionsOrBuilder() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options controlling how graph is optimized.

getOptimizerOptionsOrBuilder() - Method in class org.tensorflow.framework.GraphOptions

Options controlling how graph is optimized.

getOptimizerOptionsOrBuilder() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

Options controlling how graph is optimized.

getOptimizers() - Method in class org.nd4j.autodiff.samediff.optimize.optimizations.BaseOptimizerSet

getOptimizers() - Method in interface org.nd4j.autodiff.samediff.optimize.OptimizerSet

getOptimizers(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizers(int) - Method in class org.tensorflow.framework.RewriterConfig

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizers(int) - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizersBytes(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizersBytes(int) - Method in class org.tensorflow.framework.RewriterConfig

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizersBytes(int) - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizersCount() - Method in class org.tensorflow.framework.RewriterConfig.Builder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizersCount() - Method in class org.tensorflow.framework.RewriterConfig

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizersCount() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizersList() - Method in class org.tensorflow.framework.RewriterConfig.Builder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizersList() - Method in class org.tensorflow.framework.RewriterConfig

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptimizersList() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

getOptionalType() - Method in class onnx.Onnx.TypeProto.Builder

The type of an optional.

getOptionalType() - Method in class onnx.Onnx.TypeProto

The type of an optional.

getOptionalType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of an optional.

getOptionalType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of an optional.

getOptionalType() - Method in class onnx.OnnxMl.TypeProto

The type of an optional.

getOptionalType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of an optional.

getOptionalTypeBuilder() - Method in class onnx.Onnx.TypeProto.Builder

The type of an optional.

getOptionalTypeBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of an optional.

getOptionalTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Builder

The type of an optional.

getOptionalTypeOrBuilder() - Method in class onnx.Onnx.TypeProto

The type of an optional.

getOptionalTypeOrBuilder() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of an optional.

getOptionalTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of an optional.

getOptionalTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto

The type of an optional.

getOptionalTypeOrBuilder() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of an optional.

getOptions() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

Options that define the behavior of the created callable.

getOptions() - Method in class org.tensorflow.distruntime.MakeCallableRequest

Options that define the behavior of the created callable.

getOptions() - Method in interface org.tensorflow.distruntime.MakeCallableRequestOrBuilder

Options that define the behavior of the created callable.

getOptions() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Options for the run call.

getOptions() - Method in class org.tensorflow.distruntime.RunStepRequest

Options for the run call.

getOptions() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Options for the run call.

getOptions() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

.tensorflow.TraceOpts options = 1;

getOptions() - Method in class org.tensorflow.distruntime.TracingRequest

.tensorflow.TraceOpts options = 1;

getOptions() - Method in interface org.tensorflow.distruntime.TracingRequestOrBuilder

.tensorflow.TraceOpts options = 1;

getOptionsBuilder() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

Options that define the behavior of the created callable.

getOptionsBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Options for the run call.

getOptionsBuilder() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

.tensorflow.TraceOpts options = 1;

getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

Options that define the behavior of the created callable.

getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.MakeCallableRequest

Options that define the behavior of the created callable.

getOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.MakeCallableRequestOrBuilder

Options that define the behavior of the created callable.

getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Options for the run call.

getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest

Options for the run call.

getOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Options for the run call.

getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

.tensorflow.TraceOpts options = 1;

getOptionsOrBuilder() - Method in class org.tensorflow.distruntime.TracingRequest

.tensorflow.TraceOpts options = 1;

getOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.TracingRequestOrBuilder

.tensorflow.TraceOpts options = 1;

getOptLevel() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

Overall optimization level.

getOptLevel() - Method in class org.tensorflow.framework.OptimizerOptions

Overall optimization level.

getOptLevel() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder

Overall optimization level.

getOptLevelValue() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

Overall optimization level.

getOptLevelValue() - Method in class org.tensorflow.framework.OptimizerOptions

Overall optimization level.

getOptLevelValue() - Method in interface org.tensorflow.framework.OptimizerOptionsOrBuilder

Overall optimization level.

getOpType() - Method in class onnx.Onnx.NodeProto.Builder

The symbolic identifier of the Operator to execute.

getOpType() - Method in class onnx.Onnx.NodeProto

The symbolic identifier of the Operator to execute.

getOpType() - Method in interface onnx.Onnx.NodeProtoOrBuilder

The symbolic identifier of the Operator to execute.

getOpType() - Method in class onnx.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

getOpType() - Method in class onnx.OnnxMl.NodeProto

The symbolic identifier of the Operator to execute.

getOpType() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

The symbolic identifier of the Operator to execute.

getOpType() - Method in class onnx.OnnxOperators.OperatorProto.Builder

The name of the operator within a domain.

getOpType() - Method in class onnx.OnnxOperators.OperatorProto

The name of the operator within a domain.

getOpType() - Method in interface onnx.OnnxOperators.OperatorProtoOrBuilder

The name of the operator within a domain.

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp

getOpType() - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp

getOpType() - Method in interface org.nd4j.linalg.api.ops.BroadcastOp

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

getOpType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

getOpType() - Method in interface org.nd4j.linalg.api.ops.ReduceOp

getOpType() - Method in interface org.nd4j.linalg.api.ops.ScalarOp

getOpType() - Method in interface org.nd4j.linalg.api.ops.TransformOp

getOpType(Op) - Static method in class org.nd4j.linalg.api.ops.BaseOp

getOpTypeBytes() - Method in class onnx.Onnx.NodeProto.Builder

The symbolic identifier of the Operator to execute.

getOpTypeBytes() - Method in class onnx.Onnx.NodeProto

The symbolic identifier of the Operator to execute.

getOpTypeBytes() - Method in interface onnx.Onnx.NodeProtoOrBuilder

The symbolic identifier of the Operator to execute.

getOpTypeBytes() - Method in class onnx.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

getOpTypeBytes() - Method in class onnx.OnnxMl.NodeProto

The symbolic identifier of the Operator to execute.

getOpTypeBytes() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

The symbolic identifier of the Operator to execute.

getOpTypeBytes() - Method in class onnx.OnnxOperators.OperatorProto.Builder

The name of the operator within a domain.

getOpTypeBytes() - Method in class onnx.OnnxOperators.OperatorProto

The name of the operator within a domain.

getOpTypeBytes() - Method in interface onnx.OnnxOperators.OperatorProtoOrBuilder

The name of the operator within a domain.

getOpWithOnnxName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

getOpWithTensorflowName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

Get the

getOrDependenciesAsCollection() - Method in class org.nd4j.autodiff.samediff.internal.DependencyList

getOrder(int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

Infer order from

getOrder(long[], long[], long) - Static method in class org.nd4j.linalg.api.shape.Shape

getOrder(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

Infer the order for the ndarray based on the array's strides

getOrderAsByte() - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

This method returns current byte order for this JVM as libnd4j enum

getOrderFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

This method just converts enums

getOriginalVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.

getOriginalVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.

getOriginalVariableNodeId() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder

An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.

getOutArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArg(int) - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArg(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgCount() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgCount() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgList() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutArgOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

getOutput() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.GRUCellOutputs

Get h, the output of the cell.

getOutput() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.LSTMCellOutputs

Get y, the output of the cell.

getOutput() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.LSTMLayerOutputs

Get h, the output of the cell for all time steps.

getOutput() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRUCellOutputs

Get h, the output of the cell.

getOutput() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRULayerOutputs

Get h, the output of the cell.

getOutput(int) - Method in class onnx.Onnx.FunctionProto.Builder

repeated string output = 5;

getOutput(int) - Method in class onnx.Onnx.FunctionProto

repeated string output = 5;

getOutput(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

repeated string output = 5;

getOutput(int) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutput(int) - Method in class onnx.Onnx.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutput(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutput(int) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

getOutput(int) - Method in class onnx.Onnx.NodeProto

namespace Value

getOutput(int) - Method in interface onnx.Onnx.NodeProtoOrBuilder

namespace Value

getOutput(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated string output = 5;

getOutput(int) - Method in class onnx.OnnxMl.FunctionProto

repeated string output = 5;

getOutput(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

repeated string output = 5;

getOutput(int) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutput(int) - Method in class onnx.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutput(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutput(int) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

getOutput(int) - Method in class onnx.OnnxMl.NodeProto

namespace Value

getOutput(int) - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

namespace Value

getOutput(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

getOutput(int) - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.NodeOutput output = 7;

getOutput(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.NodeOutput output = 7;

getOutputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

getOutputArg(int) - Method in class org.tensorflow.framework.OpDef

Description of the output(s).

getOutputArg(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the output(s).

getOutputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

getOutputArgBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

getOutputArgCount() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

getOutputArgCount() - Method in class org.tensorflow.framework.OpDef

Description of the output(s).

getOutputArgCount() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the output(s).

getOutputArgList() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

getOutputArgList() - Method in class org.tensorflow.framework.OpDef

Description of the output(s).

getOutputArgList() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the output(s).

getOutputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

getOutputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef

Description of the output(s).

getOutputArgOrBuilder(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the output(s).

getOutputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

getOutputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef

Description of the output(s).

getOutputArgOrBuilderList() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Description of the output(s).

getOutputArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp

getOutputArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

getOutputArray(int) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

getOutputArray(int) - Method in interface org.nd4j.linalg.api.ops.OpContext

getOutputArrays() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

getOutputArrays() - Method in interface org.nd4j.linalg.api.ops.OpContext

This method returns List of output arrays defined within this context

getOutputBooleanName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputBooleanName = 12;

getOutputBooleanName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputBooleanName = 12;

getOutputBooleanName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputBooleanName = 12;

getOutputBooleanNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputBooleanName = 12;

getOutputBooleanNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputBooleanName = 12;

getOutputBooleanNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputBooleanName = 12;

getOutputBooleanNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputBooleanName = 12;

getOutputBooleanNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputBooleanName = 12;

getOutputBooleanNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputBooleanName = 12;

getOutputBooleanNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputBooleanName = 12;

getOutputBooleanNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputBooleanName = 12;

getOutputBooleanNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputBooleanName = 12;

getOutputBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

getOutputBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

getOutputBytes(int) - Method in class onnx.Onnx.FunctionProto.Builder

repeated string output = 5;

getOutputBytes(int) - Method in class onnx.Onnx.FunctionProto

repeated string output = 5;

getOutputBytes(int) - Method in interface onnx.Onnx.FunctionProtoOrBuilder

repeated string output = 5;

getOutputBytes(int) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

getOutputBytes(int) - Method in class onnx.Onnx.NodeProto

namespace Value

getOutputBytes(int) - Method in interface onnx.Onnx.NodeProtoOrBuilder

namespace Value

getOutputBytes(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated string output = 5;

getOutputBytes(int) - Method in class onnx.OnnxMl.FunctionProto

repeated string output = 5;

getOutputBytes(int) - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

repeated string output = 5;

getOutputBytes(int) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

getOutputBytes(int) - Method in class onnx.OnnxMl.NodeProto

namespace Value

getOutputBytes(int) - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

namespace Value

getOutputCount() - Method in class onnx.Onnx.FunctionProto.Builder

repeated string output = 5;

getOutputCount() - Method in class onnx.Onnx.FunctionProto

repeated string output = 5;

getOutputCount() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

repeated string output = 5;

getOutputCount() - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputCount() - Method in class onnx.Onnx.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputCount() - Method in interface onnx.Onnx.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputCount() - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

getOutputCount() - Method in class onnx.Onnx.NodeProto

namespace Value

getOutputCount() - Method in interface onnx.Onnx.NodeProtoOrBuilder

namespace Value

getOutputCount() - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated string output = 5;

getOutputCount() - Method in class onnx.OnnxMl.FunctionProto

repeated string output = 5;

getOutputCount() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

repeated string output = 5;

getOutputCount() - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputCount() - Method in class onnx.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputCount() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputCount() - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

getOutputCount() - Method in class onnx.OnnxMl.NodeProto

namespace Value

getOutputCount() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

namespace Value

getOutputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 output_count = 7;

getOutputCount() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

int32 output_count = 7;

getOutputCount() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder

int32 output_count = 7;

getOutputCount() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

getOutputCount() - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.NodeOutput output = 7;

getOutputCount() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.NodeOutput output = 7;

getOutputDataTypeName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDataTypeName = 16;

getOutputDataTypeName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputDataTypeName = 16;

getOutputDataTypeName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputDataTypeName = 16;

getOutputDataTypeNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDataTypeName = 16;

getOutputDataTypeNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputDataTypeName = 16;

getOutputDataTypeNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputDataTypeName = 16;

getOutputDataTypeNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDataTypeName = 16;

getOutputDataTypeNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputDataTypeName = 16;

getOutputDataTypeNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputDataTypeName = 16;

getOutputDataTypeNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDataTypeName = 16;

getOutputDataTypeNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputDataTypeName = 16;

getOutputDataTypeNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputDataTypeName = 16;

getOutputDoubleName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDoubleName = 10;

getOutputDoubleName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputDoubleName = 10;

getOutputDoubleName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputDoubleName = 10;

getOutputDoubleNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDoubleName = 10;

getOutputDoubleNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputDoubleName = 10;

getOutputDoubleNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputDoubleName = 10;

getOutputDoubleNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDoubleName = 10;

getOutputDoubleNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputDoubleName = 10;

getOutputDoubleNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputDoubleName = 10;

getOutputDoubleNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDoubleName = 10;

getOutputDoubleNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputDoubleName = 10;

getOutputDoubleNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputDoubleName = 10;

getOutputFloatName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputFloatName = 8;

getOutputFloatName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputFloatName = 8;

getOutputFloatName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputFloatName = 8;

getOutputFloatNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputFloatName = 8;

getOutputFloatNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputFloatName = 8;

getOutputFloatNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputFloatName = 8;

getOutputFloatNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputFloatName = 8;

getOutputFloatNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputFloatName = 8;

getOutputFloatNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputFloatName = 8;

getOutputFloatNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputFloatName = 8;

getOutputFloatNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputFloatName = 8;

getOutputFloatNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputFloatName = 8;

getOutputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfo(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoCount() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputInfoOrBuilderList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

getOutputIntName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputIntName = 6;

getOutputIntName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputIntName = 6;

getOutputIntName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputIntName = 6;

getOutputIntNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputIntName = 6;

getOutputIntNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputIntName = 6;

getOutputIntNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputIntName = 6;

getOutputIntNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputIntName = 6;

getOutputIntNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputIntName = 6;

getOutputIntNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputIntName = 6;

getOutputIntNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputIntName = 6;

getOutputIntNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputIntName = 6;

getOutputIntNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputIntName = 6;

getOutputList() - Method in class onnx.Onnx.FunctionProto.Builder

repeated string output = 5;

getOutputList() - Method in class onnx.Onnx.FunctionProto

repeated string output = 5;

getOutputList() - Method in interface onnx.Onnx.FunctionProtoOrBuilder

repeated string output = 5;

getOutputList() - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputList() - Method in class onnx.Onnx.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputList() - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

getOutputList() - Method in class onnx.Onnx.NodeProto

namespace Value

getOutputList() - Method in interface onnx.Onnx.NodeProtoOrBuilder

namespace Value

getOutputList() - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated string output = 5;

getOutputList() - Method in class onnx.OnnxMl.FunctionProto

repeated string output = 5;

getOutputList() - Method in interface onnx.OnnxMl.FunctionProtoOrBuilder

repeated string output = 5;

getOutputList() - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputList() - Method in class onnx.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputList() - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

getOutputList() - Method in class onnx.OnnxMl.NodeProto

namespace Value

getOutputList() - Method in interface onnx.OnnxMl.NodeProtoOrBuilder

namespace Value

getOutputList() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

getOutputList() - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.NodeOutput output = 7;

getOutputList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.NodeOutput output = 7;

getOutputNum() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

The index into the outputs of the operation that produced this tensor.

getOutputNum() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

The index into the outputs of the operation that produced this tensor.

getOutputNum() - Method in interface tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandleOrBuilder

The index into the outputs of the operation that produced this tensor.

getOutputOfOp() - Method in class org.nd4j.autodiff.samediff.internal.Variable

getOutputOrBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilder(int) - Method in class onnx.Onnx.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilder(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilder(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

getOutputOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.NodeOutput output = 7;

getOutputOrBuilder(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.NodeOutput output = 7;

getOutputOrBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList() - Method in class onnx.Onnx.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList() - Method in class onnx.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

getOutputOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.NodeOutput output = 7;

getOutputOrBuilderList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.NodeOutput output = 7;

getOutputPartitionGraphs() - Method in class org.tensorflow.framework.RunOptions.Builder

Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.

getOutputPartitionGraphs() - Method in class org.tensorflow.framework.RunOptions

Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.

getOutputPartitionGraphs() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.

getOutputPort() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

int32 output_port = 2;

getOutputPort() - Method in class org.tensorflow.framework.GraphTransferNodeInput

int32 output_port = 2;

getOutputPort() - Method in interface org.tensorflow.framework.GraphTransferNodeInputOrBuilder

int32 output_port = 2;

getOutputs() - Method in class org.tensorflow.framework.SignatureDef.Builder

Deprecated.

getOutputs() - Method in class org.tensorflow.framework.SignatureDef

Deprecated.

getOutputs() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Deprecated.

getOutputs(Pair<SameDiffOp, OpContext>, FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>, List<Listener>, At, MultiDataSet, Set<String>, Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession

getOutputs(Pair<SameDiffOp, OpContext>, FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>, List<Listener>, At, MultiDataSet, Set<String>, Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.internal.TrainingSession

getOutputs(O, FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Set<String>, List<Listener>, At, MultiDataSet, Set<String>, Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Execute the op - calculate INDArrays, or shape info, etc

getOutputsCount() - Method in class org.tensorflow.framework.SignatureDef.Builder

getOutputsCount() - Method in class org.tensorflow.framework.SignatureDef

getOutputsCount() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named output parameters.

getOutputsForOp(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns the name(s) of the outputs for the given function

getOutputsHelperTensorArrayOps(DifferentialFunction, FrameIter, Set<AbstractSession.VarId>, Set<AbstractSession.VarId>, Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession

Forward pass for TensorArray ops

getOutputSlot() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Output slot to watch.

getOutputSlot() - Method in class org.tensorflow.framework.DebugTensorWatch

Output slot to watch.

getOutputSlot() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

Output slot to watch.

getOutputsMap() - Method in class org.tensorflow.framework.SignatureDef.Builder

Named output parameters.

getOutputsMap() - Method in class org.tensorflow.framework.SignatureDef

Named output parameters.

getOutputsMap() - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named output parameters.

getOutputsOfOp() - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

getOutputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named output parameters.

getOutputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef

Named output parameters.

getOutputsOrDefault(String, TensorInfo) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named output parameters.

getOutputsOrThrow(String) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named output parameters.

getOutputsOrThrow(String) - Method in class org.tensorflow.framework.SignatureDef

Named output parameters.

getOutputsOrThrow(String) - Method in interface org.tensorflow.framework.SignatureDefOrBuilder

Named output parameters.

getOutputStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Get the map of normalization statistics per output

getOutputStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Get normalization statistics for a given output.

getOutputStringAttrName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputStringAttrName = 4;

getOutputStringAttrName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputStringAttrName = 4;

getOutputStringAttrName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputStringAttrName = 4;

getOutputStringAttrNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputStringAttrName = 4;

getOutputStringAttrNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputStringAttrName = 4;

getOutputStringAttrNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputStringAttrName = 4;

getOutputStringAttrNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputStringAttrName = 4;

getOutputStringAttrNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputStringAttrName = 4;

getOutputStringAttrNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputStringAttrName = 4;

getOutputStringAttrNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputStringAttrName = 4;

getOutputStringAttrNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputStringAttrName = 4;

getOutputStringAttrNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputStringAttrName = 4;

getOutputTensorName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputTensorName = 14;

getOutputTensorName(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputTensorName = 14;

getOutputTensorName(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputTensorName = 14;

getOutputTensorNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputTensorName = 14;

getOutputTensorNameBytes(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputTensorName = 14;

getOutputTensorNameBytes(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputTensorName = 14;

getOutputTensorNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputTensorName = 14;

getOutputTensorNameCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputTensorName = 14;

getOutputTensorNameCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputTensorName = 14;

getOutputTensorNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputTensorName = 14;

getOutputTensorNameList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated string outputTensorName = 14;

getOutputTensorNameList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated string outputTensorName = 14;

getOutputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto outputValue = 9;

getOutputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.TensorProto outputValue = 9;

getOutputValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.TensorProto outputValue = 9;

getOutputValueBuilder() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto outputValue = 9;

getOutputValueOrBuilder() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto outputValue = 9;

getOutputValueOrBuilder() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.TensorProto outputValue = 9;

getOutputValueOrBuilder() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.TensorProto outputValue = 9;

getOutputVariablesForOp(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get the output variable(s) for the specified differential function

getPaddingId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 padding_id = 5;

getPaddingId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

int32 padding_id = 5;

getPaddingId() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder

int32 padding_id = 5;

getParallelIterations() - Method in class org.tensorflow.framework.WhileContextDef.Builder

The number of iterations allowed to run in parallel.

getParallelIterations() - Method in class org.tensorflow.framework.WhileContextDef

The number of iterations allowed to run in parallel.

getParallelIterations() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

The number of iterations allowed to run in parallel.

getParameterMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

Deprecated.

getParameterMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

Deprecated.

getParameterMap() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder

Deprecated.

getParameterMapCount() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

getParameterMapCount() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

getParameterMapCount() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParameterMapMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParameterMapMap() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParameterMapMap() - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParameterMapOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParameterMapOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParameterMapOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParameterMapOrThrow(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParameterMapOrThrow(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParameterMapOrThrow(String) - Method in interface org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder

map<string, .tensorflow.AttrValue> parameter_map = 2;

getParentWorkspace() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

getParentWorkspace() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

This method returns Workspace this DataBuffer is attached to

getParentWorkspace() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method returns parent Workspace, if any.

getParentWorkspace() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns parent Workspace, if any.

getParentWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns parent Workspace, if any.

getParserForType() - Method in class onnx.Onnx.AttributeProto

getParserForType() - Method in class onnx.Onnx.FunctionProto

getParserForType() - Method in class onnx.Onnx.GraphProto

getParserForType() - Method in class onnx.Onnx.ModelProto

getParserForType() - Method in class onnx.Onnx.NodeProto

getParserForType() - Method in class onnx.Onnx.OperatorSetIdProto

getParserForType() - Method in class onnx.Onnx.SparseTensorProto

getParserForType() - Method in class onnx.Onnx.StringStringEntryProto

getParserForType() - Method in class onnx.Onnx.TensorAnnotation

getParserForType() - Method in class onnx.Onnx.TensorProto

getParserForType() - Method in class onnx.Onnx.TensorProto.Segment

getParserForType() - Method in class onnx.Onnx.TensorShapeProto.Dimension

getParserForType() - Method in class onnx.Onnx.TensorShapeProto

getParserForType() - Method in class onnx.Onnx.TrainingInfoProto

getParserForType() - Method in class onnx.Onnx.TypeProto

getParserForType() - Method in class onnx.Onnx.TypeProto.Map

getParserForType() - Method in class onnx.Onnx.TypeProto.Optional

getParserForType() - Method in class onnx.Onnx.TypeProto.Sequence

getParserForType() - Method in class onnx.Onnx.TypeProto.SparseTensor

getParserForType() - Method in class onnx.Onnx.TypeProto.Tensor

getParserForType() - Method in class onnx.Onnx.ValueInfoProto

getParserForType() - Method in class onnx.OnnxMl.AttributeProto

getParserForType() - Method in class onnx.OnnxMl.FunctionProto

getParserForType() - Method in class onnx.OnnxMl.GraphProto

getParserForType() - Method in class onnx.OnnxMl.ModelProto

getParserForType() - Method in class onnx.OnnxMl.NodeProto

getParserForType() - Method in class onnx.OnnxMl.OperatorSetIdProto

getParserForType() - Method in class onnx.OnnxMl.SparseTensorProto

getParserForType() - Method in class onnx.OnnxMl.StringStringEntryProto

getParserForType() - Method in class onnx.OnnxMl.TensorAnnotation

getParserForType() - Method in class onnx.OnnxMl.TensorProto

getParserForType() - Method in class onnx.OnnxMl.TensorProto.Segment

getParserForType() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

getParserForType() - Method in class onnx.OnnxMl.TensorShapeProto

getParserForType() - Method in class onnx.OnnxMl.TrainingInfoProto

getParserForType() - Method in class onnx.OnnxMl.TypeProto

getParserForType() - Method in class onnx.OnnxMl.TypeProto.Map

getParserForType() - Method in class onnx.OnnxMl.TypeProto.Opaque

getParserForType() - Method in class onnx.OnnxMl.TypeProto.Optional

getParserForType() - Method in class onnx.OnnxMl.TypeProto.Sequence

getParserForType() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

getParserForType() - Method in class onnx.OnnxMl.TypeProto.Tensor

getParserForType() - Method in class onnx.OnnxMl.ValueInfoProto

getParserForType() - Method in class onnx.OnnxOperators.OperatorProto

getParserForType() - Method in class onnx.OnnxOperators.OperatorSetProto

getParserForType() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

getParserForType() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

getParserForType() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

getParserForType() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

getParserForType() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

getParserForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

getParserForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

getParserForType() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

getParserForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

getParserForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

getParserForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

getParserForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

getParserForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

getParserForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

getParserForType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

getParserForType() - Method in class org.tensorflow.distruntime.CleanupAllRequest

getParserForType() - Method in class org.tensorflow.distruntime.CleanupAllResponse

getParserForType() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

getParserForType() - Method in class org.tensorflow.distruntime.CleanupGraphResponse

getParserForType() - Method in class org.tensorflow.distruntime.CloseSessionRequest

getParserForType() - Method in class org.tensorflow.distruntime.CloseSessionResponse

getParserForType() - Method in class org.tensorflow.distruntime.ClusterDef

getParserForType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

getParserForType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

getParserForType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

getParserForType() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

getParserForType() - Method in class org.tensorflow.distruntime.CreateSessionRequest

getParserForType() - Method in class org.tensorflow.distruntime.CreateSessionResponse

getParserForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

getParserForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

getParserForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

getParserForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

getParserForType() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

getParserForType() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

getParserForType() - Method in class org.tensorflow.distruntime.ExecutorOpts

getParserForType() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

getParserForType() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

getParserForType() - Method in class org.tensorflow.distruntime.GetStatusRequest

getParserForType() - Method in class org.tensorflow.distruntime.GetStatusResponse

getParserForType() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

getParserForType() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

getParserForType() - Method in class org.tensorflow.distruntime.JobDef

getParserForType() - Method in class org.tensorflow.distruntime.LabeledStepStats

getParserForType() - Method in class org.tensorflow.distruntime.ListDevicesRequest

getParserForType() - Method in class org.tensorflow.distruntime.ListDevicesResponse

getParserForType() - Method in class org.tensorflow.distruntime.LoggingRequest

getParserForType() - Method in class org.tensorflow.distruntime.LoggingResponse

getParserForType() - Method in class org.tensorflow.distruntime.MakeCallableRequest

getParserForType() - Method in class org.tensorflow.distruntime.MakeCallableResponse

getParserForType() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

getParserForType() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

getParserForType() - Method in class org.tensorflow.distruntime.RecvBufRequest

getParserForType() - Method in class org.tensorflow.distruntime.RecvBufResponse

getParserForType() - Method in class org.tensorflow.distruntime.RecvTensorRequest

getParserForType() - Method in class org.tensorflow.distruntime.RecvTensorResponse

getParserForType() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

getParserForType() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

getParserForType() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

getParserForType() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

getParserForType() - Method in class org.tensorflow.distruntime.ResetRequest

getParserForType() - Method in class org.tensorflow.distruntime.ResetResponse

getParserForType() - Method in class org.tensorflow.distruntime.RunCallableRequest

getParserForType() - Method in class org.tensorflow.distruntime.RunCallableResponse

getParserForType() - Method in class org.tensorflow.distruntime.RunGraphRequest

getParserForType() - Method in class org.tensorflow.distruntime.RunGraphResponse

getParserForType() - Method in class org.tensorflow.distruntime.RunStepRequest

getParserForType() - Method in class org.tensorflow.distruntime.RunStepResponse

getParserForType() - Method in class org.tensorflow.distruntime.ServerDef

getParserForType() - Method in class org.tensorflow.distruntime.StepSequence

getParserForType() - Method in class org.tensorflow.distruntime.TraceOpts

getParserForType() - Method in class org.tensorflow.distruntime.TracingRequest

getParserForType() - Method in class org.tensorflow.distruntime.TracingResponse

getParserForType() - Method in class org.tensorflow.framework.AllocationDescription

getParserForType() - Method in class org.tensorflow.framework.AllocationRecord

getParserForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

getParserForType() - Method in class org.tensorflow.framework.ApiDef.Arg

getParserForType() - Method in class org.tensorflow.framework.ApiDef.Attr

getParserForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint

getParserForType() - Method in class org.tensorflow.framework.ApiDef

getParserForType() - Method in class org.tensorflow.framework.ApiDefs

getParserForType() - Method in class org.tensorflow.framework.AssetFileDef

getParserForType() - Method in class org.tensorflow.framework.AttrValue

getParserForType() - Method in class org.tensorflow.framework.AttrValue.ListValue

getParserForType() - Method in class org.tensorflow.framework.AutoParallelOptions

getParserForType() - Method in class org.tensorflow.framework.CallableOptions

getParserForType() - Method in class org.tensorflow.framework.CollectionDef.AnyList

getParserForType() - Method in class org.tensorflow.framework.CollectionDef.BytesList

getParserForType() - Method in class org.tensorflow.framework.CollectionDef.FloatList

getParserForType() - Method in class org.tensorflow.framework.CollectionDef

getParserForType() - Method in class org.tensorflow.framework.CollectionDef.Int64List

getParserForType() - Method in class org.tensorflow.framework.CollectionDef.NodeList

getParserForType() - Method in class org.tensorflow.framework.CondContextDef

getParserForType() - Method in class org.tensorflow.framework.ConfigProto.Experimental

getParserForType() - Method in class org.tensorflow.framework.ConfigProto

getParserForType() - Method in class org.tensorflow.framework.ControlFlowContextDef

getParserForType() - Method in class org.tensorflow.framework.CostGraphDef

getParserForType() - Method in class org.tensorflow.framework.CostGraphDef.Node

getParserForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

getParserForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

getParserForType() - Method in class org.tensorflow.framework.CriticalSectionDef

getParserForType() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

getParserForType() - Method in class org.tensorflow.framework.DebuggedSourceFile

getParserForType() - Method in class org.tensorflow.framework.DebuggedSourceFiles

getParserForType() - Method in class org.tensorflow.framework.DebugOptions

getParserForType() - Method in class org.tensorflow.framework.DebugTensorWatch

getParserForType() - Method in class org.tensorflow.framework.DeviceAttributes

getParserForType() - Method in class org.tensorflow.framework.DeviceLocality

getParserForType() - Method in class org.tensorflow.framework.DeviceStepStats

getParserForType() - Method in class org.tensorflow.framework.FunctionDef

getParserForType() - Method in class org.tensorflow.framework.FunctionDefLibrary

getParserForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental

getParserForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

getParserForType() - Method in class org.tensorflow.framework.GPUOptions

getParserForType() - Method in class org.tensorflow.framework.GradientDef

getParserForType() - Method in class org.tensorflow.framework.GraphDef

getParserForType() - Method in class org.tensorflow.framework.GraphOptions

getParserForType() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

getParserForType() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

getParserForType() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo

getParserForType() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

getParserForType() - Method in class org.tensorflow.framework.GraphTransferNodeInput

getParserForType() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

getParserForType() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

getParserForType() - Method in class org.tensorflow.framework.HistogramProto

getParserForType() - Method in class org.tensorflow.framework.InterconnectLink

getParserForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

getParserForType() - Method in class org.tensorflow.framework.KernelDef

getParserForType() - Method in class org.tensorflow.framework.LocalLinks

getParserForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

getParserForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

getParserForType() - Method in class org.tensorflow.framework.MemoryLogStep

getParserForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

getParserForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

getParserForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

getParserForType() - Method in class org.tensorflow.framework.MemoryStats

getParserForType() - Method in class org.tensorflow.framework.MetaGraphDef

getParserForType() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

getParserForType() - Method in class org.tensorflow.framework.NameAttrList

getParserForType() - Method in class org.tensorflow.framework.NamedTensorProto

getParserForType() - Method in class org.tensorflow.framework.NodeDef

getParserForType() - Method in class org.tensorflow.framework.NodeExecStats

getParserForType() - Method in class org.tensorflow.framework.NodeOutput

getParserForType() - Method in class org.tensorflow.framework.OpDef.ArgDef

getParserForType() - Method in class org.tensorflow.framework.OpDef.AttrDef

getParserForType() - Method in class org.tensorflow.framework.OpDef

getParserForType() - Method in class org.tensorflow.framework.OpDeprecation

getParserForType() - Method in class org.tensorflow.framework.OpList

getParserForType() - Method in class org.tensorflow.framework.OptimizerOptions

getParserForType() - Method in class org.tensorflow.framework.QueueRunnerDef

getParserForType() - Method in class org.tensorflow.framework.ReaderBaseState

getParserForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

getParserForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

getParserForType() - Method in class org.tensorflow.framework.ResourceHandleProto

getParserForType() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

getParserForType() - Method in class org.tensorflow.framework.RewriterConfig

getParserForType() - Method in class org.tensorflow.framework.RPCOptions

getParserForType() - Method in class org.tensorflow.framework.RunMetadata

getParserForType() - Method in class org.tensorflow.framework.RunOptions.Experimental

getParserForType() - Method in class org.tensorflow.framework.RunOptions

getParserForType() - Method in class org.tensorflow.framework.SavedModel

getParserForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef

getParserForType() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

getParserForType() - Method in class org.tensorflow.framework.SignatureDef

getParserForType() - Method in class org.tensorflow.framework.StepStats

getParserForType() - Method in class org.tensorflow.framework.Summary.Audio

getParserForType() - Method in class org.tensorflow.framework.Summary

getParserForType() - Method in class org.tensorflow.framework.Summary.Image

getParserForType() - Method in class org.tensorflow.framework.Summary.Value

getParserForType() - Method in class org.tensorflow.framework.SummaryDescription

getParserForType() - Method in class org.tensorflow.framework.SummaryMetadata

getParserForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

getParserForType() - Method in class org.tensorflow.framework.TensorConnection

getParserForType() - Method in class org.tensorflow.framework.TensorDescription

getParserForType() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

getParserForType() - Method in class org.tensorflow.framework.TensorInfo

getParserForType() - Method in class org.tensorflow.framework.TensorProto

getParserForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

getParserForType() - Method in class org.tensorflow.framework.TensorShapeProto

getParserForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

getParserForType() - Method in class org.tensorflow.framework.TensorSliceProto

getParserForType() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

getParserForType() - Method in class org.tensorflow.framework.ValuesDef

getParserForType() - Method in class org.tensorflow.framework.VariableDef

getParserForType() - Method in class org.tensorflow.framework.VariantTensorDataProto

getParserForType() - Method in class org.tensorflow.framework.VersionDef

getParserForType() - Method in class org.tensorflow.framework.WhileContextDef

getParserForType() - Method in class org.tensorflow.util.BundleEntryProto

getParserForType() - Method in class org.tensorflow.util.BundleHeaderProto

getParserForType() - Method in class org.tensorflow.util.IteratorStateMetadata

getParserForType() - Method in class org.tensorflow.util.SaverDef

getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

getParserForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

getParserForType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

getParserForType() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

getParserForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

getParserForType() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

getPartialRunHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.

getPartialRunHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.

getPartialRunHandle() - Method in interface org.tensorflow.distruntime.PartialRunSetupResponseOrBuilder

The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.

getPartialRunHandle() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Partial run handle (optional).

getPartialRunHandle() - Method in class org.tensorflow.distruntime.RunStepRequest

Partial run handle (optional).

getPartialRunHandle() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Partial run handle (optional).

getPartialRunHandleBytes() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.

getPartialRunHandleBytes() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.

getPartialRunHandleBytes() - Method in interface org.tensorflow.distruntime.PartialRunSetupResponseOrBuilder

The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.

getPartialRunHandleBytes() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Partial run handle (optional).

getPartialRunHandleBytes() - Method in class org.tensorflow.distruntime.RunStepRequest

Partial run handle (optional).

getPartialRunHandleBytes() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Partial run handle (optional).

getPartitionGraph(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraph(int) - Method in class org.tensorflow.distruntime.RunGraphResponse

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraph(int) - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphCount() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphCount() - Method in class org.tensorflow.distruntime.RunGraphResponse

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphCount() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphList() - Method in class org.tensorflow.distruntime.RunGraphResponse

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphList() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphOrBuilderList() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

repeated .tensorflow.GraphDef partition_graph = 4;

getPartitionGraphs(int) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

getPartitionGraphs(int) - Method in class org.tensorflow.framework.RunMetadata

Graphs of the partitions executed by executors.

getPartitionGraphs(int) - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

Graphs of the partitions executed by executors.

getPartitionGraphsBuilder(int) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

getPartitionGraphsBuilderList() - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

getPartitionGraphsCount() - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

getPartitionGraphsCount() - Method in class org.tensorflow.framework.RunMetadata

Graphs of the partitions executed by executors.

getPartitionGraphsCount() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

Graphs of the partitions executed by executors.

getPartitionGraphsList() - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

getPartitionGraphsList() - Method in class org.tensorflow.framework.RunMetadata

Graphs of the partitions executed by executors.

getPartitionGraphsList() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

Graphs of the partitions executed by executors.

getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.framework.RunMetadata

Graphs of the partitions executed by executors.

getPartitionGraphsOrBuilder(int) - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

Graphs of the partitions executed by executors.

getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.framework.RunMetadata

Graphs of the partitions executed by executors.

getPartitionGraphsOrBuilderList() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

Graphs of the partitions executed by executors.

getPeakBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

int64 peak_bytes = 3;

getPeakBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

int64 peak_bytes = 3;

getPeakBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

int64 peak_bytes = 3;

getPercentile(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getPermutedWithShape(char, long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getPermutedWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getPerProcessGpuMemoryFraction() - Method in class org.tensorflow.framework.GPUOptions.Builder

Fraction of the available GPU memory to allocate for each process.

getPerProcessGpuMemoryFraction() - Method in class org.tensorflow.framework.GPUOptions

Fraction of the available GPU memory to allocate for each process.

getPerProcessGpuMemoryFraction() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

Fraction of the available GPU memory to allocate for each process.

getPersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Persistent memory used by this node.

getPersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node

Persistent memory used by this node.

getPersistentMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Persistent memory used by this node.

getPersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder

int64 persistent_memory_size = 3;

getPersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats

int64 persistent_memory_size = 3;

getPersistentMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

int64 persistent_memory_size = 3;

getPersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats.Builder

repeated int64 persistent_tensor_alloc_ids = 5;

getPersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats

repeated int64 persistent_tensor_alloc_ids = 5;

getPersistentTensorAllocIds(int) - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

repeated int64 persistent_tensor_alloc_ids = 5;

getPersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats.Builder

repeated int64 persistent_tensor_alloc_ids = 5;

getPersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats

repeated int64 persistent_tensor_alloc_ids = 5;

getPersistentTensorAllocIdsCount() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

repeated int64 persistent_tensor_alloc_ids = 5;

getPersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats.Builder

repeated int64 persistent_tensor_alloc_ids = 5;

getPersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats

repeated int64 persistent_tensor_alloc_ids = 5;

getPersistentTensorAllocIdsList() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

repeated int64 persistent_tensor_alloc_ids = 5;

getPFactor(int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

getPFactor(int, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack

This method takes one of the ipiv returns from LAPACK and creates the permutation matrix.

getPhysicalDeviceDesc() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of the physical device that this device maps to.

getPhysicalDeviceDesc() - Method in class org.tensorflow.framework.DeviceAttributes

String representation of the physical device that this device maps to.

getPhysicalDeviceDesc() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

String representation of the physical device that this device maps to.

getPhysicalDeviceDescBytes() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of the physical device that this device maps to.

getPhysicalDeviceDescBytes() - Method in class org.tensorflow.framework.DeviceAttributes

String representation of the physical device that this device maps to.

getPhysicalDeviceDescBytes() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

String representation of the physical device that this device maps to.

getPinnedSize() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns number of bytes in pinned allocations.

getPivotForBodyName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_body tensor.

getPivotForBodyName() - Method in class org.tensorflow.framework.WhileContextDef

Name of the pivot_for_body tensor.

getPivotForBodyName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Name of the pivot_for_body tensor.

getPivotForBodyNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_body tensor.

getPivotForBodyNameBytes() - Method in class org.tensorflow.framework.WhileContextDef

Name of the pivot_for_body tensor.

getPivotForBodyNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Name of the pivot_for_body tensor.

getPivotForPredName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_pred tensor.

getPivotForPredName() - Method in class org.tensorflow.framework.WhileContextDef

Name of the pivot_for_pred tensor.

getPivotForPredName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Name of the pivot_for_pred tensor.

getPivotForPredNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_pred tensor.

getPivotForPredNameBytes() - Method in class org.tensorflow.framework.WhileContextDef

Name of the pivot_for_pred tensor.

getPivotForPredNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Name of the pivot_for_pred tensor.

getPivotName() - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pivot tensor.

getPivotName() - Method in class org.tensorflow.framework.CondContextDef

Name of the pivot tensor.

getPivotName() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Name of the pivot tensor.

getPivotName() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot tensor.

getPivotName() - Method in class org.tensorflow.framework.WhileContextDef

Name of the pivot tensor.

getPivotName() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Name of the pivot tensor.

getPivotNameBytes() - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pivot tensor.

getPivotNameBytes() - Method in class org.tensorflow.framework.CondContextDef

Name of the pivot tensor.

getPivotNameBytes() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Name of the pivot tensor.

getPivotNameBytes() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot tensor.

getPivotNameBytes() - Method in class org.tensorflow.framework.WhileContextDef

Name of the pivot tensor.

getPivotNameBytes() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Name of the pivot tensor.

getPlaceholder() - Method in class org.tensorflow.framework.AttrValue.Builder

This is a placeholder only used in nodes defined inside a function.

getPlaceholder() - Method in class org.tensorflow.framework.AttrValue

This is a placeholder only used in nodes defined inside a function.

getPlaceholder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

This is a placeholder only used in nodes defined inside a function.

getPlaceholderBytes() - Method in class org.tensorflow.framework.AttrValue.Builder

This is a placeholder only used in nodes defined inside a function.

getPlaceholderBytes() - Method in class org.tensorflow.framework.AttrValue

This is a placeholder only used in nodes defined inside a function.

getPlaceholderBytes() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

This is a placeholder only used in nodes defined inside a function.

getPlacementPeriod() - Method in class org.tensorflow.framework.ConfigProto.Builder

Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).

getPlacementPeriod() - Method in class org.tensorflow.framework.ConfigProto

Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).

getPlacementPeriod() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).

getPlacePrunedGraph() - Method in class org.tensorflow.framework.GraphOptions.Builder

Only place the subgraphs that are run, rather than the entire graph.

getPlacePrunedGraph() - Method in class org.tensorflow.framework.GraphOptions

Only place the subgraphs that are run, rather than the entire graph.

getPlacePrunedGraph() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

Only place the subgraphs that are run, rather than the entire graph.

getPluginData() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Data that associates a summary with a certain plugin.

getPluginData() - Method in class org.tensorflow.framework.SummaryMetadata

Data that associates a summary with a certain plugin.

getPluginData() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder

Data that associates a summary with a certain plugin.

getPluginDataBuilder() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Data that associates a summary with a certain plugin.

getPluginDataOrBuilder() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Data that associates a summary with a certain plugin.

getPluginDataOrBuilder() - Method in class org.tensorflow.framework.SummaryMetadata

Data that associates a summary with a certain plugin.

getPluginDataOrBuilder() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder

Data that associates a summary with a certain plugin.

getPluginName() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

The name of the plugin this data pertains to.

getPluginName() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

The name of the plugin this data pertains to.

getPluginName() - Method in interface org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder

The name of the plugin this data pertains to.

getPluginNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

The name of the plugin this data pertains to.

getPluginNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

The name of the plugin this data pertains to.

getPluginNameBytes() - Method in interface org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder

The name of the plugin this data pertains to.

getPointAtPrecision(double) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

Get the point (index, threshold, precision, recall) at the given precision.
Specifically, return the points at the lowest threshold that has precision equal to or greater than the requested precision.

getPointAtRecall(double) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

Get the point (index, threshold, precision, recall) at the given recall.
Specifically, return the points at the highest threshold that has recall equal to or greater than the requested recall.

getPointAtThreshold(double) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

Get the point (index, threshold, precision, recall) at the given threshold.
Note that if the threshold is not found exactly, the next highest threshold exceeding the requested threshold is returned

getPollingActiveDelayUsecs() - Method in class org.tensorflow.framework.GPUOptions.Builder

In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.

getPollingActiveDelayUsecs() - Method in class org.tensorflow.framework.GPUOptions

In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.

getPollingActiveDelayUsecs() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.

getPollingInactiveDelayMsecs() - Method in class org.tensorflow.framework.GPUOptions.Builder

This field is deprecated and ignored.

getPollingInactiveDelayMsecs() - Method in class org.tensorflow.framework.GPUOptions

This field is deprecated and ignored.

getPollingInactiveDelayMsecs() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

This field is deprecated and ignored.

getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

getPosition() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

getPosition() - Method in interface org.nd4j.linalg.api.rng.Random

This method returns number of elements consumed

getPrecedingNode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

int32 preceding_node = 1;

getPrecedingNode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

int32 preceding_node = 1;

getPrecedingNode() - Method in interface org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder

int32 preceding_node = 1;

getPrecedingPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

int32 preceding_port = 2;

getPrecedingPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

int32 preceding_port = 2;

getPrecedingPort() - Method in interface org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder

int32 preceding_port = 2;

getPrecision(int) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

getPrecisionRecallCurve() - Method in class org.nd4j.evaluation.classification.ROC

Get the precision recall curve as array.

getPrecisionRecallCurve(int) - Method in class org.nd4j.evaluation.classification.ROCBinary

Get the Precision-Recall curve for the specified output

getPrecisionRecallCurve(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Get the (one vs.

getPredictedTotal(T) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

Computes the total number of times the class was predicted by the classifier.

getPredictionByPredictedClass(int) - Method in class org.nd4j.evaluation.classification.Evaluation

Get a list of predictions, for all data with the specified predicted class, regardless of the actual data class.

getPredictionCountsEachClass() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

getPredictionErrors() - Method in class org.nd4j.evaluation.classification.Evaluation

Get a list of prediction errors, on a per-record basis

getPredictions(int, int) - Method in class org.nd4j.evaluation.classification.Evaluation

Get a list of predictions in the specified confusion matrix entry (i.e., for the given actua/predicted class pair)

getPredictionsByActualClass(int) - Method in class org.nd4j.evaluation.classification.Evaluation

Get a list of predictions, for all data with the specified actual class, regardless of the predicted class.

getPredName() - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pred tensor.

getPredName() - Method in class org.tensorflow.framework.CondContextDef

Name of the pred tensor.

getPredName() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Name of the pred tensor.

getPredNameBytes() - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pred tensor.

getPredNameBytes() - Method in class org.tensorflow.framework.CondContextDef

Name of the pred tensor.

getPredNameBytes() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Name of the pred tensor.

getPreProcessor() - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

getPreProcessor() - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

getPreProcessor() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Returns preprocessors, if defined

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

getPreProcessor() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator

Get the MultiDataSetPreProcessor, if one has previously been set.

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Returns preprocessors, if defined

getPreProcessor() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.ViewIterator

getPrimaryOffset() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

getPrimaryOffset() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

getPriority() - Method in class org.nd4j.linalg.factory.Nd4jBackend

Gets a priority number for the backend.

getProbabilityHistogram(int) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

Return a probability histogram of the specified label class index.

getProbabilityHistogramAllClasses() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

Return a probability histogram for all predictions/classes.

getProbabilityOfSuccess() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Access the probability of success for this distribution.

getProbAndLabelUsed() - Method in class org.nd4j.evaluation.classification.ROC

getProducer() - Method in class org.tensorflow.framework.VersionDef.Builder

The version of the code that produced this data.

getProducer() - Method in class org.tensorflow.framework.VersionDef

The version of the code that produced this data.

getProducer() - Method in interface org.tensorflow.framework.VersionDefOrBuilder

The version of the code that produced this data.

getProducerName() - Method in class onnx.Onnx.ModelProto.Builder

The name of the framework or tool used to generate this model.

getProducerName() - Method in class onnx.Onnx.ModelProto

The name of the framework or tool used to generate this model.

getProducerName() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The name of the framework or tool used to generate this model.

getProducerName() - Method in class onnx.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

getProducerName() - Method in class onnx.OnnxMl.ModelProto

The name of the framework or tool used to generate this model.

getProducerName() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The name of the framework or tool used to generate this model.

getProducerNameBytes() - Method in class onnx.Onnx.ModelProto.Builder

The name of the framework or tool used to generate this model.

getProducerNameBytes() - Method in class onnx.Onnx.ModelProto

The name of the framework or tool used to generate this model.

getProducerNameBytes() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The name of the framework or tool used to generate this model.

getProducerNameBytes() - Method in class onnx.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

getProducerNameBytes() - Method in class onnx.OnnxMl.ModelProto

The name of the framework or tool used to generate this model.

getProducerNameBytes() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The name of the framework or tool used to generate this model.

getProducerVersion() - Method in class onnx.Onnx.ModelProto.Builder

The version of the framework or tool used to generate this model.

getProducerVersion() - Method in class onnx.Onnx.ModelProto

The version of the framework or tool used to generate this model.

getProducerVersion() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The version of the framework or tool used to generate this model.

getProducerVersion() - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

getProducerVersion() - Method in class onnx.OnnxMl.ModelProto

The version of the framework or tool used to generate this model.

getProducerVersion() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The version of the framework or tool used to generate this model.

getProducerVersionBytes() - Method in class onnx.Onnx.ModelProto.Builder

The version of the framework or tool used to generate this model.

getProducerVersionBytes() - Method in class onnx.Onnx.ModelProto

The version of the framework or tool used to generate this model.

getProducerVersionBytes() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The version of the framework or tool used to generate this model.

getProducerVersionBytes() - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

getProducerVersionBytes() - Method in class onnx.OnnxMl.ModelProto

The version of the framework or tool used to generate this model.

getProducerVersionBytes() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The version of the framework or tool used to generate this model.

getProfilingMode() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

Deprecated.

getProfilingMode() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Deprecated.

getProperties() - Method in class org.nd4j.linalg.factory.Nd4jBackend

getProperties() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

.tensorflow.DeviceProperties properties = 2;

getProperties() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

.tensorflow.DeviceProperties properties = 2;

getProperties() - Method in interface tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder

.tensorflow.DeviceProperties properties = 2;

getPropertiesBuilder() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

.tensorflow.DeviceProperties properties = 2;

getPropertiesOrBuilder() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

.tensorflow.DeviceProperties properties = 2;

getPropertiesOrBuilder() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

.tensorflow.DeviceProperties properties = 2;

getPropertiesOrBuilder() - Method in interface tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder

.tensorflow.DeviceProperties properties = 2;

getProtocol() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The protocol to be used by this server.

getProtocol() - Method in class org.tensorflow.distruntime.ServerDef

The protocol to be used by this server.

getProtocol() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The protocol to be used by this server.

getProtocolBytes() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The protocol to be used by this server.

getProtocolBytes() - Method in class org.tensorflow.distruntime.ServerDef

The protocol to be used by this server.

getProtocolBytes() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The protocol to be used by this server.

getPtr() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Address of the allocation.

getPtr() - Method in class org.tensorflow.framework.AllocationDescription

Address of the allocation.

getPtr() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder

Address of the allocation.

getPtr() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Address of the allocation.

getPtr() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

Address of the allocation.

getPtr() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder

Address of the allocation.

getQuantizationAnnotation(int) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotation(int) - Method in class onnx.Onnx.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotation(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotation(int) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotation(int) - Method in class onnx.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotation(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationCount() - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationCount() - Method in class onnx.Onnx.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationCount() - Method in interface onnx.Onnx.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationCount() - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationCount() - Method in class onnx.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationCount() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationList() - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationList() - Method in class onnx.Onnx.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationList() - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationList() - Method in class onnx.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilder(int) - Method in class onnx.Onnx.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilder(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilder(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilderList() - Method in class onnx.Onnx.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilderList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilderList() - Method in class onnx.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilderList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantParameterTensorNames(int) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNames(int) - Method in class onnx.Onnx.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNames(int) - Method in interface onnx.Onnx.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNames(int) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNames(int) - Method in class onnx.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNames(int) - Method in interface onnx.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesBuilder(int) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesBuilder(int) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesBuilderList() - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesBuilderList() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesCount() - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesCount() - Method in class onnx.Onnx.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesCount() - Method in interface onnx.Onnx.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesCount() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesCount() - Method in class onnx.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesCount() - Method in interface onnx.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesList() - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesList() - Method in class onnx.Onnx.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesList() - Method in interface onnx.Onnx.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesList() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesList() - Method in class onnx.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesList() - Method in interface onnx.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilder(int) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilder(int) - Method in class onnx.Onnx.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilder(int) - Method in interface onnx.Onnx.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilder(int) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilder(int) - Method in class onnx.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilder(int) - Method in interface onnx.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilderList() - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilderList() - Method in class onnx.Onnx.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilderList() - Method in interface onnx.Onnx.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilderList() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilderList() - Method in class onnx.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilderList() - Method in interface onnx.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQueue(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueue(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

repeated .tensorflow.eager.QueueItem queue = 3;

getQueue(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueClosedExceptionTypes(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypes(int) - Method in class org.tensorflow.framework.QueueRunnerDef

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypes(int) - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesCount() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesCount() - Method in class org.tensorflow.framework.QueueRunnerDef

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesCount() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesList() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesList() - Method in class org.tensorflow.framework.QueueRunnerDef

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesList() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.framework.QueueRunnerDef

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesValue(int) - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesValueList() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesValueList() - Method in class org.tensorflow.framework.QueueRunnerDef

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueClosedExceptionTypesValueList() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

getQueueCount() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueCount() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueCount() - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueLength() - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method returns number of operations currently enqueued for execution

getQueueList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueList() - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueName() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

Queue name.

getQueueName() - Method in class org.tensorflow.framework.QueueRunnerDef

Queue name.

getQueueName() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

Queue name.

getQueueNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

Queue name.

getQueueNameBytes() - Method in class org.tensorflow.framework.QueueRunnerDef

Queue name.

getQueueNameBytes() - Method in interface org.tensorflow.framework.QueueRunnerDefOrBuilder

Queue name.

getQueueOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueOrBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueOrBuilder(int) - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueOrBuilderList() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

repeated .tensorflow.eager.QueueItem queue = 3;

getQueueOrBuilderList() - Method in interface tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder

repeated .tensorflow.eager.QueueItem queue = 3;

getRandom() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the current random generator

getRandom() - Method in class org.nd4j.linalg.factory.RandomFactory

This method returns Random implementation instance associated with calling thread

getRandomBroadCastShape(long, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

Create an ndarray of

getRandomFactory() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the RandomFactory instance

getRandomGenerator() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

getRange() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats

Get the feature wise range for the statistics.

getRange(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

getRange(int, int) - Method in class org.nd4j.linalg.dataset.DataSet

getRawData() - Method in class onnx.Onnx.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in class onnx.Onnx.TensorProto

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in interface onnx.Onnx.TensorProtoOrBuilder

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in class onnx.OnnxMl.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in class onnx.OnnxMl.TensorProto

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

Serializations can either use one of the fields above, or use this raw bytes field.

getRealArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getRecall(int) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

getRecordCosts() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool record_costs = 1;

getRecordCosts() - Method in class org.tensorflow.distruntime.ExecutorOpts

bool record_costs = 1;

getRecordCosts() - Method in interface org.tensorflow.distruntime.ExecutorOptsOrBuilder

bool record_costs = 1;

getRecordMetaData(Class<T>) - Method in class org.nd4j.evaluation.meta.Prediction

Convenience method for getting the record meta data as a particular class (as an alternative to casting it manually).

getRecordPartitionGraphs() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool record_partition_graphs = 4;

getRecordPartitionGraphs() - Method in class org.tensorflow.distruntime.ExecutorOpts

bool record_partition_graphs = 4;

getRecordPartitionGraphs() - Method in interface org.tensorflow.distruntime.ExecutorOptsOrBuilder

bool record_partition_graphs = 4;

getRecordTimeline() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool record_timeline = 3;

getRecordTimeline() - Method in class org.tensorflow.distruntime.ExecutorOpts

bool record_timeline = 3;

getRecordTimeline() - Method in interface org.tensorflow.distruntime.ExecutorOptsOrBuilder

bool record_timeline = 3;

getRecv(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecv(int) - Method in class org.tensorflow.distruntime.RunGraphResponse

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecv(int) - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvCount() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvCount() - Method in class org.tensorflow.distruntime.RunGraphResponse

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvCount() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvKey(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

repeated string recv_key = 4;

getRecvKey(int) - Method in class org.tensorflow.distruntime.RunGraphRequest

repeated string recv_key = 4;

getRecvKey(int) - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

repeated string recv_key = 4;

getRecvKeyBytes(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

repeated string recv_key = 4;

getRecvKeyBytes(int) - Method in class org.tensorflow.distruntime.RunGraphRequest

repeated string recv_key = 4;

getRecvKeyBytes(int) - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

repeated string recv_key = 4;

getRecvKeyCount() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

repeated string recv_key = 4;

getRecvKeyCount() - Method in class org.tensorflow.distruntime.RunGraphRequest

repeated string recv_key = 4;

getRecvKeyCount() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

repeated string recv_key = 4;

getRecvKeyList() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

repeated string recv_key = 4;

getRecvKeyList() - Method in class org.tensorflow.distruntime.RunGraphRequest

repeated string recv_key = 4;

getRecvKeyList() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

repeated string recv_key = 4;

getRecvList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvList() - Method in class org.tensorflow.distruntime.RunGraphResponse

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvList() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphResponse

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getRecvOrBuilderList() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

getReducedShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the shape of the reduced array

getReducedShape(int[], int[], boolean, boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the shape of the reduced array

getReducedShape(long[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

getReducedShape(long[], int[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

getReducedShape(long[], int[], boolean, boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

getRefAttrName() - Method in class onnx.Onnx.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrName() - Method in class onnx.Onnx.AttributeProto

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrName() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrName() - Method in class onnx.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrName() - Method in class onnx.OnnxMl.AttributeProto

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrName() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrNameBytes() - Method in class onnx.Onnx.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrNameBytes() - Method in class onnx.Onnx.AttributeProto

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrNameBytes() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrNameBytes() - Method in class onnx.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrNameBytes() - Method in class onnx.OnnxMl.AttributeProto

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrNameBytes() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getReferencedTensor(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensor(int) - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensor(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorCount() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorCount() - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorCount() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorList() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorList() - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorOrBuilder(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReferencedTensorOrBuilderList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

getReliabilityDiagram(int) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

Get the reliability diagram for the specified class

getRemapping() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Remapping (default is ON) Remap subgraphs onto more efficient implementations.

getRemapping() - Method in class org.tensorflow.framework.RewriterConfig

Remapping (default is ON) Remap subgraphs onto more efficient implementations.

getRemapping() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Remapping (default is ON) Remap subgraphs onto more efficient implementations.

getRemappingValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Remapping (default is ON) Remap subgraphs onto more efficient implementations.

getRemappingValue() - Method in class org.tensorflow.framework.RewriterConfig

Remapping (default is ON) Remap subgraphs onto more efficient implementations.

getRemappingValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Remapping (default is ON) Remap subgraphs onto more efficient implementations.

getRemoteDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDevice(int) - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceCount() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceCount() - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceCount() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceList() - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceList() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceOrBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceOrBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceOrBuilder(int) - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceOrBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceOrBuilderList() - Method in class org.tensorflow.distruntime.ListDevicesResponse

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteDeviceOrBuilderList() - Method in interface org.tensorflow.distruntime.ListDevicesResponseOrBuilder

repeated .tensorflow.DeviceAttributes remote_device = 2;

getRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Definition of remote graph

getRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Definition of remote graph

getRemoteGraph() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Definition of remote graph

getRemoteGraphBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Definition of remote graph

getRemoteGraphOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Definition of remote graph

getRemoteGraphOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Definition of remote graph

getRemoteGraphOrBuilder() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Definition of remote graph

getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Change the name used to access this arg in the API from what is used in the GraphDef.

getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Arg

Change the name used to access this arg in the API from what is used in the GraphDef.

getRenameTo() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder

Change the name used to access this arg in the API from what is used in the GraphDef.

getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Change the name used to access this attr in the API from what is used in the GraphDef.

getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Attr

Change the name used to access this attr in the API from what is used in the GraphDef.

getRenameTo() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder

Change the name used to access this attr in the API from what is used in the GraphDef.

getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Change the name used to access this arg in the API from what is used in the GraphDef.

getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Arg

Change the name used to access this arg in the API from what is used in the GraphDef.

getRenameToBytes() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder

Change the name used to access this arg in the API from what is used in the GraphDef.

getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Change the name used to access this attr in the API from what is used in the GraphDef.

getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Attr

Change the name used to access this attr in the API from what is used in the GraphDef.

getRenameToBytes() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder

Change the name used to access this attr in the API from what is used in the GraphDef.

getRendezvousKey() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

A key identifying the channel to receive tensors from.

getRendezvousKey() - Method in class org.tensorflow.distruntime.RecvTensorRequest

A key identifying the channel to receive tensors from.

getRendezvousKey() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

A key identifying the channel to receive tensors from.

getRendezvousKeyBytes() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

A key identifying the channel to receive tensors from.

getRendezvousKeyBytes() - Method in class org.tensorflow.distruntime.RecvTensorRequest

A key identifying the channel to receive tensors from.

getRendezvousKeyBytes() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

A key identifying the channel to receive tensors from.

getReport() - Method in class org.nd4j.autodiff.listeners.impl.HistoryListener

getReportTensorAllocationsUponOom() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool report_tensor_allocations_upon_oom = 5;

getReportTensorAllocationsUponOom() - Method in class org.tensorflow.distruntime.ExecutorOpts

bool report_tensor_allocations_upon_oom = 5;

getReportTensorAllocationsUponOom() - Method in interface org.tensorflow.distruntime.ExecutorOptsOrBuilder

bool report_tensor_allocations_upon_oom = 5;

getReportTensorAllocationsUponOom() - Method in class org.tensorflow.framework.RunOptions.Builder

When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).

getReportTensorAllocationsUponOom() - Method in class org.tensorflow.framework.RunOptions

When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).

getReportTensorAllocationsUponOom() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).

getRequestedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder

Total number of bytes requested

getRequestedBytes() - Method in class org.tensorflow.framework.AllocationDescription

Total number of bytes requested

getRequestedBytes() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder

Total number of bytes requested

getRequestId() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Unique identifier for this request.

getRequestId() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Unique identifier for this request.

getRequestId() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Unique identifier for this request.

getRequiredBatchMemorySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns amount of memory required for batch creation for this specific Aggregate

getRequiredBatchMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getReshapedWithShape(char, long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getReshapedWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getResidualPlot(int) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

Get the residual plot, only for examples of the specified class..

getResidualPlotAllClasses() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

Get the residual plot for all classes combined.

getResourceHandleVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

getResourceHandleVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_RESOURCE

getResourceHandleVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_RESOURCE

getResourceHandleValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

getResourceHandleValBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

getResourceHandleValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

getResourceHandleValCount() - Method in class org.tensorflow.framework.TensorProto

DT_RESOURCE

getResourceHandleValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_RESOURCE

getResourceHandleValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

getResourceHandleValList() - Method in class org.tensorflow.framework.TensorProto

DT_RESOURCE

getResourceHandleValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_RESOURCE

getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto

DT_RESOURCE

getResourceHandleValOrBuilder(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_RESOURCE

getResourceHandleValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

getResourceHandleValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto

DT_RESOURCE

getResourceHandleValOrBuilderList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_RESOURCE

getRestoreOpName() - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when restoring a model checkpoint.

getRestoreOpName() - Method in class org.tensorflow.util.SaverDef

The operation to run when restoring a model checkpoint.

getRestoreOpName() - Method in interface org.tensorflow.util.SaverDefOrBuilder

The operation to run when restoring a model checkpoint.

getRestoreOpNameBytes() - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when restoring a model checkpoint.

getRestoreOpNameBytes() - Method in class org.tensorflow.util.SaverDef

The operation to run when restoring a model checkpoint.

getRestoreOpNameBytes() - Method in interface org.tensorflow.util.SaverDefOrBuilder

The operation to run when restoring a model checkpoint.

getRet() - Method in class org.tensorflow.framework.FunctionDef.Builder

Deprecated.

getRet() - Method in class org.tensorflow.framework.FunctionDef

Deprecated.

getRet() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

Deprecated.

getRetCount() - Method in class org.tensorflow.framework.FunctionDef.Builder

getRetCount() - Method in class org.tensorflow.framework.FunctionDef

getRetCount() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRetMap() - Method in class org.tensorflow.framework.FunctionDef.Builder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRetMap() - Method in class org.tensorflow.framework.FunctionDef

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRetMap() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRetOrDefault(String, String) - Method in class org.tensorflow.framework.FunctionDef.Builder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRetOrDefault(String, String) - Method in class org.tensorflow.framework.FunctionDef

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRetOrDefault(String, String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRetOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef.Builder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRetOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRetOrThrow(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

getRewriteOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options that control the type and amount of graph rewriting.

getRewriteOptions() - Method in class org.tensorflow.framework.GraphOptions

Options that control the type and amount of graph rewriting.

getRewriteOptions() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

Options that control the type and amount of graph rewriting.

getRewriteOptionsBuilder() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options that control the type and amount of graph rewriting.

getRewriteOptionsOrBuilder() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options that control the type and amount of graph rewriting.

getRewriteOptionsOrBuilder() - Method in class org.tensorflow.framework.GraphOptions

Options that control the type and amount of graph rewriting.

getRewriteOptionsOrBuilder() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

Options that control the type and amount of graph rewriting.

getrf(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

getrf(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack

LU decomposiiton of a matrix Factorize a matrix A The matrix A is overridden by the L & U combined.

getri(int, INDArray, int, int[], INDArray, int, int) - Method in interface org.nd4j.linalg.api.blas.Lapack

Generate inverse ggiven LU decomp

getRngStates() - Method in interface org.nd4j.linalg.api.ops.OpContext

This method returns RNG states, root first node second

getROC(int) - Method in class org.nd4j.evaluation.classification.ROCBinary

Get the ROC object for the specific column

getROCBinary() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Returns the ROCBinary instance, if present

getRocCurve() - Method in class org.nd4j.evaluation.classification.ROC

Get the ROC curve, as a set of (threshold, falsePositive, truePositive) points

getRocCurve(int) - Method in class org.nd4j.evaluation.classification.ROCBinary

Get the ROC curve for the specified output

getRocCurve(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Get the (one vs.

getRootAsFlatArray(ByteBuffer) - Static method in class org.nd4j.graph.FlatArray

getRootAsFlatArray(ByteBuffer, FlatArray) - Static method in class org.nd4j.graph.FlatArray

getRootAsFlatArrayList(ByteBuffer) - Static method in class org.nd4j.graph.FlatArrayList

getRootAsFlatArrayList(ByteBuffer, FlatArrayList) - Static method in class org.nd4j.graph.FlatArrayList

getRootAsFlatConfiguration(ByteBuffer) - Static method in class org.nd4j.graph.FlatConfiguration

getRootAsFlatConfiguration(ByteBuffer, FlatConfiguration) - Static method in class org.nd4j.graph.FlatConfiguration

getRootAsFlatDropRequest(ByteBuffer) - Static method in class org.nd4j.graph.FlatDropRequest

getRootAsFlatDropRequest(ByteBuffer, FlatDropRequest) - Static method in class org.nd4j.graph.FlatDropRequest

getRootAsFlatGraph(ByteBuffer) - Static method in class org.nd4j.graph.FlatGraph

getRootAsFlatGraph(ByteBuffer, FlatGraph) - Static method in class org.nd4j.graph.FlatGraph

getRootAsFlatInferenceRequest(ByteBuffer) - Static method in class org.nd4j.graph.FlatInferenceRequest

getRootAsFlatInferenceRequest(ByteBuffer, FlatInferenceRequest) - Static method in class org.nd4j.graph.FlatInferenceRequest

getRootAsFlatNode(ByteBuffer) - Static method in class org.nd4j.graph.FlatNode

getRootAsFlatNode(ByteBuffer, FlatNode) - Static method in class org.nd4j.graph.FlatNode

getRootAsFlatProperties(ByteBuffer) - Static method in class org.nd4j.graph.FlatProperties

getRootAsFlatProperties(ByteBuffer, FlatProperties) - Static method in class org.nd4j.graph.FlatProperties

getRootAsFlatResponse(ByteBuffer) - Static method in class org.nd4j.graph.FlatResponse

getRootAsFlatResponse(ByteBuffer, FlatResponse) - Static method in class org.nd4j.graph.FlatResponse

getRootAsFlatResult(ByteBuffer) - Static method in class org.nd4j.graph.FlatResult

getRootAsFlatResult(ByteBuffer, FlatResult) - Static method in class org.nd4j.graph.FlatResult

getRootAsFlatTiming(ByteBuffer) - Static method in class org.nd4j.graph.FlatTiming

getRootAsFlatTiming(ByteBuffer, FlatTiming) - Static method in class org.nd4j.graph.FlatTiming

getRootAsFlatVariable(ByteBuffer) - Static method in class org.nd4j.graph.FlatVariable

getRootAsFlatVariable(ByteBuffer, FlatVariable) - Static method in class org.nd4j.graph.FlatVariable

getRootAsFrameIteration(ByteBuffer) - Static method in class org.nd4j.graph.FrameIteration

getRootAsFrameIteration(ByteBuffer, FrameIteration) - Static method in class org.nd4j.graph.FrameIteration

getRootAsIntPair(ByteBuffer) - Static method in class org.nd4j.graph.IntPair

getRootAsIntPair(ByteBuffer, IntPair) - Static method in class org.nd4j.graph.IntPair

getRootAsIntTriple(ByteBuffer) - Static method in class org.nd4j.graph.IntTriple

getRootAsIntTriple(ByteBuffer, IntTriple) - Static method in class org.nd4j.graph.IntTriple

getRootAsLongPair(ByteBuffer) - Static method in class org.nd4j.graph.LongPair

getRootAsLongPair(ByteBuffer, LongPair) - Static method in class org.nd4j.graph.LongPair

getRootAsLongTriple(ByteBuffer) - Static method in class org.nd4j.graph.LongTriple

getRootAsLongTriple(ByteBuffer, LongTriple) - Static method in class org.nd4j.graph.LongTriple

getRootAsSequenceItem(ByteBuffer) - Static method in class org.nd4j.graph.SequenceItem

getRootAsSequenceItem(ByteBuffer, SequenceItem) - Static method in class org.nd4j.graph.SequenceItem

getRootAsSequenceItemRoot(ByteBuffer) - Static method in class org.nd4j.graph.SequenceItemRoot

getRootAsSequenceItemRoot(ByteBuffer, SequenceItemRoot) - Static method in class org.nd4j.graph.SequenceItemRoot

getRootAsUIAddName(ByteBuffer) - Static method in class org.nd4j.graph.UIAddName

getRootAsUIAddName(ByteBuffer, UIAddName) - Static method in class org.nd4j.graph.UIAddName

getRootAsUIEvent(ByteBuffer) - Static method in class org.nd4j.graph.UIEvent

getRootAsUIEvent(ByteBuffer, UIEvent) - Static method in class org.nd4j.graph.UIEvent

getRootAsUIGraphStructure(ByteBuffer) - Static method in class org.nd4j.graph.UIGraphStructure

getRootAsUIGraphStructure(ByteBuffer, UIGraphStructure) - Static method in class org.nd4j.graph.UIGraphStructure

getRootAsUIHardwareState(ByteBuffer) - Static method in class org.nd4j.graph.UIHardwareState

getRootAsUIHardwareState(ByteBuffer, UIHardwareState) - Static method in class org.nd4j.graph.UIHardwareState

getRootAsUIHistogram(ByteBuffer) - Static method in class org.nd4j.graph.UIHistogram

getRootAsUIHistogram(ByteBuffer, UIHistogram) - Static method in class org.nd4j.graph.UIHistogram

getRootAsUIOp(ByteBuffer) - Static method in class org.nd4j.graph.UIOp

getRootAsUIOp(ByteBuffer, UIOp) - Static method in class org.nd4j.graph.UIOp

getRootAsUIStaticInfoRecord(ByteBuffer) - Static method in class org.nd4j.graph.UIStaticInfoRecord

getRootAsUIStaticInfoRecord(ByteBuffer, UIStaticInfoRecord) - Static method in class org.nd4j.graph.UIStaticInfoRecord

getRootAsUISummaryStatistics(ByteBuffer) - Static method in class org.nd4j.graph.UISummaryStatistics

getRootAsUISummaryStatistics(ByteBuffer, UISummaryStatistics) - Static method in class org.nd4j.graph.UISummaryStatistics

getRootAsUISystemInfo(ByteBuffer) - Static method in class org.nd4j.graph.UISystemInfo

getRootAsUISystemInfo(ByteBuffer, UISystemInfo) - Static method in class org.nd4j.graph.UISystemInfo

getRootAsUIVariable(ByteBuffer) - Static method in class org.nd4j.graph.UIVariable

getRootAsUIVariable(ByteBuffer, UIVariable) - Static method in class org.nd4j.graph.UIVariable

getRootAsUpdaterState(ByteBuffer) - Static method in class org.nd4j.graph.UpdaterState

getRootAsUpdaterState(ByteBuffer, UpdaterState) - Static method in class org.nd4j.graph.UpdaterState

getRootDir() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

getRow(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getRow(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the specified row as a 1D vector.

getRow(long, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getRow(long, boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the specified row.

getRows(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getRows(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get an INDArray comprised of the specified rows only.

getRpcOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply when this session uses the distributed runtime.

getRpcOptions() - Method in class org.tensorflow.framework.ConfigProto

Options that apply when this session uses the distributed runtime.

getRpcOptions() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Options that apply when this session uses the distributed runtime.

getRpcOptionsBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply when this session uses the distributed runtime.

getRpcOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply when this session uses the distributed runtime.

getRpcOptionsOrBuilder() - Method in class org.tensorflow.framework.ConfigProto

Options that apply when this session uses the distributed runtime.

getRpcOptionsOrBuilder() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Options that apply when this session uses the distributed runtime.

getRule(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

getRule(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

the rules to apply for attributes

getRule(int) - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

the rules to apply for attributes

getRuleBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

getRuleBuilderList() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

getRuleCount() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

getRuleCount() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

the rules to apply for attributes

getRuleCount() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

the rules to apply for attributes

getRuleList() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

getRuleList() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

the rules to apply for attributes

getRuleList() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

the rules to apply for attributes

getRuleName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleName = 1;

getRuleName() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

string ruleName = 1;

getRuleName() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

string ruleName = 1;

getRuleNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleName = 1;

getRuleNameBytes() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

string ruleName = 1;

getRuleNameBytes() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

string ruleName = 1;

getRuleOrBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

getRuleOrBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

the rules to apply for attributes

getRuleOrBuilder(int) - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

the rules to apply for attributes

getRuleOrBuilderList() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

getRuleOrBuilderList() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

the rules to apply for attributes

getRuleOrBuilderList() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

the rules to apply for attributes

getRuleType() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleType = 18;

getRuleType() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

string ruleType = 18;

getRuleType() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

string ruleType = 18;

getRuleTypeBytes() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleType = 18;

getRuleTypeBytes() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

string ruleType = 18;

getRuleTypeBytes() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

string ruleType = 18;

getRunOptions() - Method in class org.tensorflow.framework.CallableOptions.Builder

Options that will be applied to each run.

getRunOptions() - Method in class org.tensorflow.framework.CallableOptions

Options that will be applied to each run.

getRunOptions() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Options that will be applied to each run.

getRunOptionsBuilder() - Method in class org.tensorflow.framework.CallableOptions.Builder

Options that will be applied to each run.

getRunOptionsOrBuilder() - Method in class org.tensorflow.framework.CallableOptions.Builder

Options that will be applied to each run.

getRunOptionsOrBuilder() - Method in class org.tensorflow.framework.CallableOptions

Options that will be applied to each run.

getRunOptionsOrBuilder() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Options that will be applied to each run.

getS() - Method in class onnx.Onnx.AttributeProto.Builder

UTF-8 string

getS() - Method in class onnx.Onnx.AttributeProto

UTF-8 string

getS() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

UTF-8 string

getS() - Method in class onnx.OnnxMl.AttributeProto.Builder

UTF-8 string

getS() - Method in class onnx.OnnxMl.AttributeProto

UTF-8 string

getS() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

UTF-8 string

getS() - Method in class org.tensorflow.framework.AttrValue.Builder

"string"

getS() - Method in class org.tensorflow.framework.AttrValue

"string"

getS() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"string"

getS(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(string)"

getS(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(string)"

getS(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(string)"

getSameDiff() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

getSampleRate() - Method in class org.tensorflow.framework.Summary.Audio.Builder

Sample rate of the audio in Hz.

getSampleRate() - Method in class org.tensorflow.framework.Summary.Audio

Sample rate of the audio in Hz.

getSampleRate() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder

Sample rate of the audio in Hz.

getSArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp

getSArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

getSavedModelSchemaVersion() - Method in class org.tensorflow.framework.SavedModel.Builder

The schema version of the SavedModel instance.

getSavedModelSchemaVersion() - Method in class org.tensorflow.framework.SavedModel

The schema version of the SavedModel instance.

getSavedModelSchemaVersion() - Method in interface org.tensorflow.framework.SavedModelOrBuilder

The schema version of the SavedModel instance.

getSaverDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

SaverDef.

getSaverDef() - Method in class org.tensorflow.framework.MetaGraphDef

SaverDef.

getSaverDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

SaverDef.

getSaverDefBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

SaverDef.

getSaverDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

SaverDef.

getSaverDefOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef

SaverDef.

getSaverDefOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

SaverDef.

getSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef.Builder

Support for saving variables as slices of a larger variable.

getSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef

Support for saving variables as slices of a larger variable.

getSaveSliceInfoDef() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Support for saving variables as slices of a larger variable.

getSaveSliceInfoDefBuilder() - Method in class org.tensorflow.framework.VariableDef.Builder

Support for saving variables as slices of a larger variable.

getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.framework.VariableDef.Builder

Support for saving variables as slices of a larger variable.

getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.framework.VariableDef

Support for saving variables as slices of a larger variable.

getSaveSliceInfoDefOrBuilder() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Support for saving variables as slices of a larger variable.

getSaveTensorName() - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when saving a model checkpoint.

getSaveTensorName() - Method in class org.tensorflow.util.SaverDef

The operation to run when saving a model checkpoint.

getSaveTensorName() - Method in interface org.tensorflow.util.SaverDefOrBuilder

The operation to run when saving a model checkpoint.

getSaveTensorNameBytes() - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when saving a model checkpoint.

getSaveTensorNameBytes() - Method in class org.tensorflow.util.SaverDef

The operation to run when saving a model checkpoint.

getSaveTensorNameBytes() - Method in interface org.tensorflow.util.SaverDefOrBuilder

The operation to run when saving a model checkpoint.

getScalar(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getScalar(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the elements at the specified indices

getScalar(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getScalar(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the element at the specified index

getScalar(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getScalar(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

See INDArray.getScalar(int[])

getScalar(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getScalar(long, long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the element at the specified row/column

getScalarAggregator() - Method in class org.nd4j.linalg.profiler.OpProfiler

getScheduledMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 scheduled_micros = 9;

getScheduledMicros() - Method in class org.tensorflow.framework.NodeExecStats

int64 scheduled_micros = 9;

getScheduledMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

int64 scheduled_micros = 9;

getScomplexVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX64.

getScomplexVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_COMPLEX64.

getScomplexVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_COMPLEX64.

getScomplexValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX64.

getScomplexValCount() - Method in class org.tensorflow.framework.TensorProto

DT_COMPLEX64.

getScomplexValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_COMPLEX64.

getScomplexValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX64.

getScomplexValList() - Method in class org.tensorflow.framework.TensorProto

DT_COMPLEX64.

getScomplexValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_COMPLEX64.

getScopedAllocatorOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).

getScopedAllocatorOptimization() - Method in class org.tensorflow.framework.RewriterConfig

Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).

getScopedAllocatorOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).

getScopedAllocatorOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).

getScopedAllocatorOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig

Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).

getScopedAllocatorOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).

getScopedAllocatorOpts() - Method in class org.tensorflow.framework.RewriterConfig.Builder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOpts() - Method in class org.tensorflow.framework.RewriterConfig

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOpts() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOptsBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOptsOrBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOptsOrBuilder() - Method in class org.tensorflow.framework.RewriterConfig

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getScopedAllocatorOptsOrBuilder() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

getSCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(string)"

getSCount() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(string)"

getSCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(string)"

getSdValue(AbstractSession.VarId) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

getSecondOp() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

getSecondOp() - Method in interface org.nd4j.linalg.api.ops.MetaOp

getSecondOpDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

getSecondOpDescriptor() - Method in interface org.nd4j.linalg.api.ops.MetaOp

getSeed() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

getSeed() - Method in interface org.nd4j.linalg.api.rng.Random

Gets the long seed of the underlying random number generator.

getSegment() - Method in class onnx.Onnx.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

getSegment() - Method in class onnx.Onnx.TensorProto

.onnx.TensorProto.Segment segment = 3;

getSegment() - Method in interface onnx.Onnx.TensorProtoOrBuilder

.onnx.TensorProto.Segment segment = 3;

getSegment() - Method in class onnx.OnnxMl.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

getSegment() - Method in class onnx.OnnxMl.TensorProto

.onnx.TensorProto.Segment segment = 3;

getSegment() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

.onnx.TensorProto.Segment segment = 3;

getSegment() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

.org.nd4j.ir.TensorProto.Segment segment = 3;

getSegment() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

.org.nd4j.ir.TensorProto.Segment segment = 3;

getSegment() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

.org.nd4j.ir.TensorProto.Segment segment = 3;

getSegmentBuilder() - Method in class onnx.Onnx.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

getSegmentBuilder() - Method in class onnx.OnnxMl.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

getSegmentBuilder() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

.org.nd4j.ir.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in class onnx.Onnx.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in class onnx.Onnx.TensorProto

.onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in interface onnx.Onnx.TensorProtoOrBuilder

.onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in class onnx.OnnxMl.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in class onnx.OnnxMl.TensorProto

.onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

.onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

.org.nd4j.ir.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

.org.nd4j.ir.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

.org.nd4j.ir.TensorProto.Segment segment = 3;

getSend(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

getSend(int) - Method in class org.tensorflow.distruntime.RunGraphRequest

Runs the graph.

getSend(int) - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

Runs the graph.

getSendBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

getSendBuilderList() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

getSendCount() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

getSendCount() - Method in class org.tensorflow.distruntime.RunGraphRequest

Runs the graph.

getSendCount() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

Runs the graph.

getSendList() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

getSendList() - Method in class org.tensorflow.distruntime.RunGraphRequest

Runs the graph.

getSendList() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

Runs the graph.

getSendOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

getSendOrBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphRequest

Runs the graph.

getSendOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

Runs the graph.

getSendOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

getSendOrBuilderList() - Method in class org.tensorflow.distruntime.RunGraphRequest

Runs the graph.

getSendOrBuilderList() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

Runs the graph.

getSendStartMicros() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, for timeline.

getSendStartMicros() - Method in class org.tensorflow.distruntime.RecvBufResponse

Optional, for timeline.

getSendStartMicros() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder

Optional, for timeline.

getSendStartMicros() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The time at which tensor was available and started to be returned.

getSendStartMicros() - Method in class org.tensorflow.distruntime.RecvTensorResponse

The time at which tensor was available and started to be returned.

getSendStartMicros() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder

The time at which tensor was available and started to be returned.

getSequenceType() - Method in class onnx.Onnx.TypeProto.Builder

The type of a sequence.

getSequenceType() - Method in class onnx.Onnx.TypeProto

The type of a sequence.

getSequenceType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of a sequence.

getSequenceType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a sequence.

getSequenceType() - Method in class onnx.OnnxMl.TypeProto

The type of a sequence.

getSequenceType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of a sequence.

getSequenceTypeBuilder() - Method in class onnx.Onnx.TypeProto.Builder

The type of a sequence.

getSequenceTypeBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a sequence.

getSequenceTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Builder

The type of a sequence.

getSequenceTypeOrBuilder() - Method in class onnx.Onnx.TypeProto

The type of a sequence.

getSequenceTypeOrBuilder() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of a sequence.

getSequenceTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a sequence.

getSequenceTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto

The type of a sequence.

getSequenceTypeOrBuilder() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of a sequence.

getSerializedExecutorParameters() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Parameters given to the executor

getSerializedExecutorParameters() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Optional: Parameters given to the executor

getSerializedExecutorParameters() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Optional: Parameters given to the executor

getSerializedSize() - Method in class onnx.Onnx.AttributeProto

getSerializedSize() - Method in class onnx.Onnx.FunctionProto

getSerializedSize() - Method in class onnx.Onnx.GraphProto

getSerializedSize() - Method in class onnx.Onnx.ModelProto

getSerializedSize() - Method in class onnx.Onnx.NodeProto

getSerializedSize() - Method in class onnx.Onnx.OperatorSetIdProto

getSerializedSize() - Method in class onnx.Onnx.SparseTensorProto

getSerializedSize() - Method in class onnx.Onnx.StringStringEntryProto

getSerializedSize() - Method in class onnx.Onnx.TensorAnnotation

getSerializedSize() - Method in class onnx.Onnx.TensorProto

getSerializedSize() - Method in class onnx.Onnx.TensorProto.Segment

getSerializedSize() - Method in class onnx.Onnx.TensorShapeProto.Dimension

getSerializedSize() - Method in class onnx.Onnx.TensorShapeProto

getSerializedSize() - Method in class onnx.Onnx.TrainingInfoProto

getSerializedSize() - Method in class onnx.Onnx.TypeProto

getSerializedSize() - Method in class onnx.Onnx.TypeProto.Map

getSerializedSize() - Method in class onnx.Onnx.TypeProto.Optional

getSerializedSize() - Method in class onnx.Onnx.TypeProto.Sequence

getSerializedSize() - Method in class onnx.Onnx.TypeProto.SparseTensor

getSerializedSize() - Method in class onnx.Onnx.TypeProto.Tensor

getSerializedSize() - Method in class onnx.Onnx.ValueInfoProto

getSerializedSize() - Method in class onnx.OnnxMl.AttributeProto

getSerializedSize() - Method in class onnx.OnnxMl.FunctionProto

getSerializedSize() - Method in class onnx.OnnxMl.GraphProto

getSerializedSize() - Method in class onnx.OnnxMl.ModelProto

getSerializedSize() - Method in class onnx.OnnxMl.NodeProto

getSerializedSize() - Method in class onnx.OnnxMl.OperatorSetIdProto

getSerializedSize() - Method in class onnx.OnnxMl.SparseTensorProto

getSerializedSize() - Method in class onnx.OnnxMl.StringStringEntryProto

getSerializedSize() - Method in class onnx.OnnxMl.TensorAnnotation

getSerializedSize() - Method in class onnx.OnnxMl.TensorProto

getSerializedSize() - Method in class onnx.OnnxMl.TensorProto.Segment

getSerializedSize() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

getSerializedSize() - Method in class onnx.OnnxMl.TensorShapeProto

getSerializedSize() - Method in class onnx.OnnxMl.TrainingInfoProto

getSerializedSize() - Method in class onnx.OnnxMl.TypeProto

getSerializedSize() - Method in class onnx.OnnxMl.TypeProto.Map

getSerializedSize() - Method in class onnx.OnnxMl.TypeProto.Opaque

getSerializedSize() - Method in class onnx.OnnxMl.TypeProto.Optional

getSerializedSize() - Method in class onnx.OnnxMl.TypeProto.Sequence

getSerializedSize() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

getSerializedSize() - Method in class onnx.OnnxMl.TypeProto.Tensor

getSerializedSize() - Method in class onnx.OnnxMl.ValueInfoProto

getSerializedSize() - Method in class onnx.OnnxOperators.OperatorProto

getSerializedSize() - Method in class onnx.OnnxOperators.OperatorSetProto

getSerializedSize() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

getSerializedSize() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

getSerializedSize() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

getSerializedSize() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

getSerializedSize() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

getSerializedSize() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

getSerializedSize() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

getSerializedSize() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

getSerializedSize() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

getSerializedSize() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

getSerializedSize() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

getSerializedSize() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

getSerializedSize() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

getSerializedSize() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

getSerializedSize() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

getSerializedSize() - Method in class org.tensorflow.distruntime.CleanupAllRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.CleanupAllResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.CleanupGraphResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.CloseSessionRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.CloseSessionResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.ClusterDef

getSerializedSize() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.CreateSessionRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.CreateSessionResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.ExecutorOpts

getSerializedSize() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.GetStatusRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.GetStatusResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.JobDef

getSerializedSize() - Method in class org.tensorflow.distruntime.LabeledStepStats

getSerializedSize() - Method in class org.tensorflow.distruntime.ListDevicesRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.ListDevicesResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.LoggingRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.LoggingResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.MakeCallableRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.MakeCallableResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.RecvBufRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.RecvBufResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.RecvTensorRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.RecvTensorResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.ResetRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.ResetResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.RunCallableRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.RunCallableResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.RunGraphRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.RunGraphResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.RunStepRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.RunStepResponse

getSerializedSize() - Method in class org.tensorflow.distruntime.ServerDef

getSerializedSize() - Method in class org.tensorflow.distruntime.StepSequence

getSerializedSize() - Method in class org.tensorflow.distruntime.TraceOpts

getSerializedSize() - Method in class org.tensorflow.distruntime.TracingRequest

getSerializedSize() - Method in class org.tensorflow.distruntime.TracingResponse

getSerializedSize() - Method in class org.tensorflow.framework.AllocationDescription

getSerializedSize() - Method in class org.tensorflow.framework.AllocationRecord

getSerializedSize() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

getSerializedSize() - Method in class org.tensorflow.framework.ApiDef.Arg

getSerializedSize() - Method in class org.tensorflow.framework.ApiDef.Attr

getSerializedSize() - Method in class org.tensorflow.framework.ApiDef.Endpoint

getSerializedSize() - Method in class org.tensorflow.framework.ApiDef

getSerializedSize() - Method in class org.tensorflow.framework.ApiDefs

getSerializedSize() - Method in class org.tensorflow.framework.AssetFileDef

getSerializedSize() - Method in class org.tensorflow.framework.AttrValue

getSerializedSize() - Method in class org.tensorflow.framework.AttrValue.ListValue

getSerializedSize() - Method in class org.tensorflow.framework.AutoParallelOptions

getSerializedSize() - Method in class org.tensorflow.framework.CallableOptions

getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.AnyList

getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.BytesList

getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.FloatList

getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef

getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.Int64List

getSerializedSize() - Method in class org.tensorflow.framework.CollectionDef.NodeList

getSerializedSize() - Method in class org.tensorflow.framework.CondContextDef

getSerializedSize() - Method in class org.tensorflow.framework.ConfigProto.Experimental

getSerializedSize() - Method in class org.tensorflow.framework.ConfigProto

getSerializedSize() - Method in class org.tensorflow.framework.ControlFlowContextDef

getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef

getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef.Node

getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

getSerializedSize() - Method in class org.tensorflow.framework.CriticalSectionDef

getSerializedSize() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

getSerializedSize() - Method in class org.tensorflow.framework.DebuggedSourceFile

getSerializedSize() - Method in class org.tensorflow.framework.DebuggedSourceFiles

getSerializedSize() - Method in class org.tensorflow.framework.DebugOptions

getSerializedSize() - Method in class org.tensorflow.framework.DebugTensorWatch

getSerializedSize() - Method in class org.tensorflow.framework.DeviceAttributes

getSerializedSize() - Method in class org.tensorflow.framework.DeviceLocality

getSerializedSize() - Method in class org.tensorflow.framework.DeviceStepStats

getSerializedSize() - Method in class org.tensorflow.framework.FunctionDef

getSerializedSize() - Method in class org.tensorflow.framework.FunctionDefLibrary

getSerializedSize() - Method in class org.tensorflow.framework.GPUOptions.Experimental

getSerializedSize() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

getSerializedSize() - Method in class org.tensorflow.framework.GPUOptions

getSerializedSize() - Method in class org.tensorflow.framework.GradientDef

getSerializedSize() - Method in class org.tensorflow.framework.GraphDef

getSerializedSize() - Method in class org.tensorflow.framework.GraphOptions

getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo

getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferNodeInput

getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

getSerializedSize() - Method in class org.tensorflow.framework.HistogramProto

getSerializedSize() - Method in class org.tensorflow.framework.InterconnectLink

getSerializedSize() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

getSerializedSize() - Method in class org.tensorflow.framework.KernelDef

getSerializedSize() - Method in class org.tensorflow.framework.LocalLinks

getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogStep

getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

getSerializedSize() - Method in class org.tensorflow.framework.MemoryStats

getSerializedSize() - Method in class org.tensorflow.framework.MetaGraphDef

getSerializedSize() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

getSerializedSize() - Method in class org.tensorflow.framework.NameAttrList

getSerializedSize() - Method in class org.tensorflow.framework.NamedTensorProto

getSerializedSize() - Method in class org.tensorflow.framework.NodeDef

getSerializedSize() - Method in class org.tensorflow.framework.NodeExecStats

getSerializedSize() - Method in class org.tensorflow.framework.NodeOutput

getSerializedSize() - Method in class org.tensorflow.framework.OpDef.ArgDef

getSerializedSize() - Method in class org.tensorflow.framework.OpDef.AttrDef

getSerializedSize() - Method in class org.tensorflow.framework.OpDef

getSerializedSize() - Method in class org.tensorflow.framework.OpDeprecation

getSerializedSize() - Method in class org.tensorflow.framework.OpList

getSerializedSize() - Method in class org.tensorflow.framework.OptimizerOptions

getSerializedSize() - Method in class org.tensorflow.framework.QueueRunnerDef

getSerializedSize() - Method in class org.tensorflow.framework.ReaderBaseState

getSerializedSize() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

getSerializedSize() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

getSerializedSize() - Method in class org.tensorflow.framework.ResourceHandleProto

getSerializedSize() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

getSerializedSize() - Method in class org.tensorflow.framework.RewriterConfig

getSerializedSize() - Method in class org.tensorflow.framework.RPCOptions

getSerializedSize() - Method in class org.tensorflow.framework.RunMetadata

getSerializedSize() - Method in class org.tensorflow.framework.RunOptions.Experimental

getSerializedSize() - Method in class org.tensorflow.framework.RunOptions

getSerializedSize() - Method in class org.tensorflow.framework.SavedModel

getSerializedSize() - Method in class org.tensorflow.framework.SaveSliceInfoDef

getSerializedSize() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

getSerializedSize() - Method in class org.tensorflow.framework.SignatureDef

getSerializedSize() - Method in class org.tensorflow.framework.StepStats

getSerializedSize() - Method in class org.tensorflow.framework.Summary.Audio

getSerializedSize() - Method in class org.tensorflow.framework.Summary

getSerializedSize() - Method in class org.tensorflow.framework.Summary.Image

getSerializedSize() - Method in class org.tensorflow.framework.Summary.Value

getSerializedSize() - Method in class org.tensorflow.framework.SummaryDescription

getSerializedSize() - Method in class org.tensorflow.framework.SummaryMetadata

getSerializedSize() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

getSerializedSize() - Method in class org.tensorflow.framework.TensorConnection

getSerializedSize() - Method in class org.tensorflow.framework.TensorDescription

getSerializedSize() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

getSerializedSize() - Method in class org.tensorflow.framework.TensorInfo

getSerializedSize() - Method in class org.tensorflow.framework.TensorProto

getSerializedSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

getSerializedSize() - Method in class org.tensorflow.framework.TensorShapeProto

getSerializedSize() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

getSerializedSize() - Method in class org.tensorflow.framework.TensorSliceProto

getSerializedSize() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

getSerializedSize() - Method in class org.tensorflow.framework.ValuesDef

getSerializedSize() - Method in class org.tensorflow.framework.VariableDef

getSerializedSize() - Method in class org.tensorflow.framework.VariantTensorDataProto

getSerializedSize() - Method in class org.tensorflow.framework.VersionDef

getSerializedSize() - Method in class org.tensorflow.framework.WhileContextDef

getSerializedSize() - Method in class org.tensorflow.util.BundleEntryProto

getSerializedSize() - Method in class org.tensorflow.util.BundleHeaderProto

getSerializedSize() - Method in class org.tensorflow.util.IteratorStateMetadata

getSerializedSize() - Method in class org.tensorflow.util.SaverDef

getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

getSerializedSize() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

getSerializedSize() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

getSerializedSize() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

getSerializedSize() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

getSerializedSize() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

getServerDef() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Defines the configuration of a TensorFlow worker.

getServerDef() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

Defines the configuration of a TensorFlow worker.

getServerDef() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder

Defines the configuration of a TensorFlow worker.

getServerDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Identifies the full cluster, and this particular worker's position within.

getServerDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

Identifies the full cluster, and this particular worker's position within.

getServerDef() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder

Identifies the full cluster, and this particular worker's position within.

getServerDefBuilder() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Defines the configuration of a TensorFlow worker.

getServerDefBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Identifies the full cluster, and this particular worker's position within.

getServerDefOrBuilder() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Defines the configuration of a TensorFlow worker.

getServerDefOrBuilder() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

Defines the configuration of a TensorFlow worker.

getServerDefOrBuilder() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder

Defines the configuration of a TensorFlow worker.

getServerDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Identifies the full cluster, and this particular worker's position within.

getServerDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

Identifies the full cluster, and this particular worker's position within.

getServerDefOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder

Identifies the full cluster, and this particular worker's position within.

getServerLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on server-side device locality.

getServerLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional information on server-side device locality.

getServerLocality() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional information on server-side device locality.

getServerLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on server-side device locality.

getServerLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Optional information on server-side device locality.

getServerLocality() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Optional information on server-side device locality.

getServerLocalityBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on server-side device locality.

getServerLocalityBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on server-side device locality.

getServerLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on server-side device locality.

getServerLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional information on server-side device locality.

getServerLocalityOrBuilder() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional information on server-side device locality.

getServerLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on server-side device locality.

getServerLocalityOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Optional information on server-side device locality.

getServerLocalityOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Optional information on server-side device locality.

getSessionHandle() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.CloseSessionRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in interface org.tensorflow.distruntime.CloseSessionRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

The session handle to be used in subsequent calls for the created session.

getSessionHandle() - Method in class org.tensorflow.distruntime.CreateSessionResponse

The session handle to be used in subsequent calls for the created session.

getSessionHandle() - Method in interface org.tensorflow.distruntime.CreateSessionResponseOrBuilder

The session handle to be used in subsequent calls for the created session.

getSessionHandle() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Sessions are identified by a given handle.

getSessionHandle() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

Sessions are identified by a given handle.

getSessionHandle() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder

Sessions are identified by a given handle.

getSessionHandle() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

Sessions are identified by a given handle.

getSessionHandle() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

Sessions are identified by a given handle.

getSessionHandle() - Method in interface org.tensorflow.distruntime.DeleteWorkerSessionRequestOrBuilder

Sessions are identified by a given handle.

getSessionHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

The session_handle used when registering the graph.

getSessionHandle() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

The session_handle used when registering the graph.

getSessionHandle() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder

The session_handle used when registering the graph.

getSessionHandle() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

Optional: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.ListDevicesRequest

Optional: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in interface org.tensorflow.distruntime.ListDevicesRequestOrBuilder

Optional: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.MakeCallableRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in interface org.tensorflow.distruntime.MakeCallableRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Subgraphs are scoped within one session.

getSessionHandle() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Subgraphs are scoped within one session.

getSessionHandle() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Subgraphs are scoped within one session.

getSessionHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in interface org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.RunCallableRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

session_handle is the master-generated unique id for this session.

getSessionHandle() - Method in class org.tensorflow.distruntime.RunGraphRequest

session_handle is the master-generated unique id for this session.

getSessionHandle() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

session_handle is the master-generated unique id for this session.

getSessionHandle() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in class org.tensorflow.distruntime.RunStepRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandle() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CloseSessionRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.CloseSessionRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

The session handle to be used in subsequent calls for the created session.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CreateSessionResponse

The session handle to be used in subsequent calls for the created session.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.CreateSessionResponseOrBuilder

The session handle to be used in subsequent calls for the created session.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Sessions are identified by a given handle.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

Sessions are identified by a given handle.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder

Sessions are identified by a given handle.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

Sessions are identified by a given handle.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

Sessions are identified by a given handle.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.DeleteWorkerSessionRequestOrBuilder

Sessions are identified by a given handle.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

The session_handle used when registering the graph.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

The session_handle used when registering the graph.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder

The session_handle used when registering the graph.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

Optional: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ListDevicesRequest

Optional: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.ListDevicesRequestOrBuilder

Optional: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.MakeCallableRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.MakeCallableRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Subgraphs are scoped within one session.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Subgraphs are scoped within one session.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Subgraphs are scoped within one session.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunCallableRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.RunCallableRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

session_handle is the master-generated unique id for this session.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunGraphRequest

session_handle is the master-generated unique id for this session.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

session_handle is the master-generated unique id for this session.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in class org.tensorflow.distruntime.RunStepRequest

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionHandleBytes() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

getSessionInterOpThreadPool(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPool(int) - Method in class org.tensorflow.framework.ConfigProto

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPool(int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolBuilder(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolBuilderList() - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolCount() - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolCount() - Method in class org.tensorflow.framework.ConfigProto

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolCount() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolList() - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolList() - Method in class org.tensorflow.framework.ConfigProto

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolList() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolOrBuilder(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolOrBuilder(int) - Method in class org.tensorflow.framework.ConfigProto

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolOrBuilder(int) - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolOrBuilderList() - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolOrBuilderList() - Method in class org.tensorflow.framework.ConfigProto

This option is experimental - it may be replaced with a different mechanism in the future.

getSessionInterOpThreadPoolOrBuilderList() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

This option is experimental - it may be replaced with a different mechanism in the future.

getShape() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

getShape() - Method in class onnx.Onnx.TypeProto.SparseTensor

.onnx.TensorShapeProto shape = 2;

getShape() - Method in interface onnx.Onnx.TypeProto.SparseTensorOrBuilder

.onnx.TensorShapeProto shape = 2;

getShape() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

getShape() - Method in class onnx.Onnx.TypeProto.Tensor

.onnx.TensorShapeProto shape = 2;

getShape() - Method in interface onnx.Onnx.TypeProto.TensorOrBuilder

.onnx.TensorShapeProto shape = 2;

getShape() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

getShape() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

.onnx.TensorShapeProto shape = 2;

getShape() - Method in interface onnx.OnnxMl.TypeProto.SparseTensorOrBuilder

.onnx.TensorShapeProto shape = 2;

getShape() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

getShape() - Method in class onnx.OnnxMl.TypeProto.Tensor

.onnx.TensorShapeProto shape = 2;

getShape() - Method in interface onnx.OnnxMl.TypeProto.TensorOrBuilder

.onnx.TensorShapeProto shape = 2;

getShape() - Method in class org.nd4j.autodiff.samediff.SDVariable

Returns the shape of this variable

getShape() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

.org.nd4j.ir.TensorShapeProto shape = 2;

getShape() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

.org.nd4j.ir.TensorShapeProto shape = 2;

getShape() - Method in interface org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder

.org.nd4j.ir.TensorShapeProto shape = 2;

getShape() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.TensorShapeProto shape = 4;

getShape() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

.tensorflow.TensorShapeProto shape = 4;

getShape() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

.tensorflow.TensorShapeProto shape = 4;

getShape() - Method in class org.tensorflow.framework.AttrValue.Builder

"shape"

getShape() - Method in class org.tensorflow.framework.AttrValue

"shape"

getShape() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"shape"

getShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.TensorShapeProto shape = 3;

getShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

.tensorflow.TensorShapeProto shape = 3;

getShape() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder

.tensorflow.TensorShapeProto shape = 3;

getShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.TensorShapeProto shape = 2;

getShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

.tensorflow.TensorShapeProto shape = 2;

getShape() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder

.tensorflow.TensorShapeProto shape = 2;

getShape() - Method in class org.tensorflow.framework.TensorDescription.Builder

Shape of the tensor.

getShape() - Method in class org.tensorflow.framework.TensorDescription

Shape of the tensor.

getShape() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder

Shape of the tensor.

getShape() - Method in class org.tensorflow.util.BundleEntryProto.Builder

.tensorflow.TensorShapeProto shape = 2;

getShape() - Method in class org.tensorflow.util.BundleEntryProto

.tensorflow.TensorShapeProto shape = 2;

getShape() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

.tensorflow.TensorShapeProto shape = 2;

getShape(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

getShape(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(shape)"

getShape(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(shape)"

getShape(int) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

repeated int64 shape = 3;

getShape(int) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

repeated int64 shape = 3;

getShape(int) - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder

repeated int64 shape = 3;

getShape(int) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

repeated int64 shape = 2;

getShape(int) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

repeated int64 shape = 2;

getShape(int) - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder

repeated int64 shape = 2;

getShape(int) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

repeated int64 shape = 2;

getShape(int) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

repeated int64 shape = 2;

getShape(int) - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder

repeated int64 shape = 2;

getShapeBuilder() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

getShapeBuilder() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

getShapeBuilder() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

getShapeBuilder() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

getShapeBuilder() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

.org.nd4j.ir.TensorShapeProto shape = 2;

getShapeBuilder() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.TensorShapeProto shape = 4;

getShapeBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder

"shape"

getShapeBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.TensorShapeProto shape = 3;

getShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.TensorShapeProto shape = 2;

getShapeBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder

Shape of the tensor.

getShapeBuilder() - Method in class org.tensorflow.util.BundleEntryProto.Builder

.tensorflow.TensorShapeProto shape = 2;

getShapeBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

getShapeBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

getShapeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

getShapeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(shape)"

getShapeCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(shape)"

getShapeCount() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

repeated int64 shape = 3;

getShapeCount() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

repeated int64 shape = 3;

getShapeCount() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder

repeated int64 shape = 3;

getShapeCount() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

repeated int64 shape = 2;

getShapeCount() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

repeated int64 shape = 2;

getShapeCount() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder

repeated int64 shape = 2;

getShapeCount() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

repeated int64 shape = 2;

getShapeCount() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

repeated int64 shape = 2;

getShapeCount() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder

repeated int64 shape = 2;

getShapeDescriptor() - Method in class org.nd4j.autodiff.samediff.SDVariable

getShapeInfoProvider() - Static method in class org.nd4j.linalg.factory.Nd4j

getShapeList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

getShapeList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(shape)"

getShapeList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(shape)"

getShapeList() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

repeated int64 shape = 3;

getShapeList() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

repeated int64 shape = 3;

getShapeList() - Method in interface org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder

repeated int64 shape = 3;

getShapeList() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

repeated int64 shape = 2;

getShapeList() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

repeated int64 shape = 2;

getShapeList() - Method in interface org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder

repeated int64 shape = 2;

getShapeList() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

repeated int64 shape = 2;

getShapeList() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

repeated int64 shape = 2;

getShapeList() - Method in interface org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder

repeated int64 shape = 2;

getShapeOptimization() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Shape optimizations (default is ON) Simplify computations made on shapes.

getShapeOptimization() - Method in class org.tensorflow.framework.RewriterConfig

Shape optimizations (default is ON) Simplify computations made on shapes.

getShapeOptimization() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Shape optimizations (default is ON) Simplify computations made on shapes.

getShapeOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Shape optimizations (default is ON) Simplify computations made on shapes.

getShapeOptimizationValue() - Method in class org.tensorflow.framework.RewriterConfig

Shape optimizations (default is ON) Simplify computations made on shapes.

getShapeOptimizationValue() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Shape optimizations (default is ON) Simplify computations made on shapes.

getShapeOrBuilder() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class onnx.Onnx.TypeProto.SparseTensor

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in interface onnx.Onnx.TypeProto.SparseTensorOrBuilder

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class onnx.Onnx.TypeProto.Tensor

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in interface onnx.Onnx.TypeProto.TensorOrBuilder

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in interface onnx.OnnxMl.TypeProto.SparseTensorOrBuilder

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Tensor

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in interface onnx.OnnxMl.TypeProto.TensorOrBuilder

.onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

.org.nd4j.ir.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

.org.nd4j.ir.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in interface org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder

.org.nd4j.ir.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.TensorShapeProto shape = 4;

getShapeOrBuilder() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

.tensorflow.TensorShapeProto shape = 4;

getShapeOrBuilder() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

.tensorflow.TensorShapeProto shape = 4;

getShapeOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder

"shape"

getShapeOrBuilder() - Method in class org.tensorflow.framework.AttrValue

"shape"

getShapeOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"shape"

getShapeOrBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.TensorShapeProto shape = 3;

getShapeOrBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

.tensorflow.TensorShapeProto shape = 3;

getShapeOrBuilder() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder

.tensorflow.TensorShapeProto shape = 3;

getShapeOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

.tensorflow.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder

.tensorflow.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder

Shape of the tensor.

getShapeOrBuilder() - Method in class org.tensorflow.framework.TensorDescription

Shape of the tensor.

getShapeOrBuilder() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder

Shape of the tensor.

getShapeOrBuilder() - Method in class org.tensorflow.util.BundleEntryProto.Builder

.tensorflow.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class org.tensorflow.util.BundleEntryProto

.tensorflow.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

.tensorflow.TensorShapeProto shape = 2;

getShapeOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

getShapeOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(shape)"

getShapeOrBuilder(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(shape)"

getShapeOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

getShapeOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(shape)"

getShapeOrBuilderList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(shape)"

getShapes() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getSharded() - Method in class org.tensorflow.util.SaverDef.Builder

Shard the save files, one per device that has Variable nodes.

getSharded() - Method in class org.tensorflow.util.SaverDef

Shard the save files, one per device that has Variable nodes.

getSharded() - Method in interface org.tensorflow.util.SaverDefOrBuilder

Shard the save files, one per device that has Variable nodes.

getShardId() - Method in class org.tensorflow.util.BundleEntryProto.Builder

The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).

getShardId() - Method in class org.tensorflow.util.BundleEntryProto

The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).

getShardId() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).

getSharedMemorySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns amount of shared memory required for this specific Aggregate.

getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

This method returns amount of shared memory required for this specific Aggregate.

getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

getSharedMemorySizePerMultiprocessor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Shared memory size per multiprocessor in bytes.

getSharedMemorySizePerMultiprocessor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Shared memory size per multiprocessor in bytes.

getSharedMemorySizePerMultiprocessor() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Shared memory size per multiprocessor in bytes.

getShort(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Special method for

getSignature() - Method in class org.tensorflow.framework.FunctionDef.Builder

The definition of the function's name, arguments, return values, attrs etc.

getSignature() - Method in class org.tensorflow.framework.FunctionDef

The definition of the function's name, arguments, return values, attrs etc.

getSignature() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

The definition of the function's name, arguments, return values, attrs etc.

getSignatureBuilder() - Method in class org.tensorflow.framework.FunctionDef.Builder

The definition of the function's name, arguments, return values, attrs etc.

getSignatureDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Deprecated.

getSignatureDef() - Method in class org.tensorflow.framework.MetaGraphDef

Deprecated.

getSignatureDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

Deprecated.

getSignatureDefCount() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

getSignatureDefCount() - Method in class org.tensorflow.framework.MetaGraphDef

getSignatureDefCount() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureDefMap() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureDefMap() - Method in class org.tensorflow.framework.MetaGraphDef

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureDefMap() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureDefOrDefault(String, SignatureDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureDefOrDefault(String, SignatureDef) - Method in class org.tensorflow.framework.MetaGraphDef

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureDefOrDefault(String, SignatureDef) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureDefOrThrow(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureDefOrThrow(String) - Method in class org.tensorflow.framework.MetaGraphDef

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureDefOrThrow(String) - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

getSignatureOrBuilder() - Method in class org.tensorflow.framework.FunctionDef.Builder

The definition of the function's name, arguments, return values, attrs etc.

getSignatureOrBuilder() - Method in class org.tensorflow.framework.FunctionDef

The definition of the function's name, arguments, return values, attrs etc.

getSignatureOrBuilder() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

The definition of the function's name, arguments, return values, attrs etc.

getSimpleValue() - Method in class org.tensorflow.framework.Summary.Value.Builder

float simple_value = 2;

getSimpleValue() - Method in class org.tensorflow.framework.Summary.Value

float simple_value = 2;

getSimpleValue() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

float simple_value = 2;

getSinceVersion() - Method in class onnx.OnnxOperators.OperatorProto.Builder

The version of the operator set that first introduced this operator.

getSinceVersion() - Method in class onnx.OnnxOperators.OperatorProto

The version of the operator set that first introduced this operator.

getSinceVersion() - Method in interface onnx.OnnxOperators.OperatorProtoOrBuilder

The version of the operator set that first introduced this operator.

getSingleOutput(List<Map<String, INDArray>>, String) - Static method in class org.nd4j.autodiff.util.SameDiffUtils

Get a list of batch outputs for a single variable from a list of batch outputs for all variables

getSingleOutput(List<Map<String, INDArray>>, String) - Static method in class org.nd4j.autodiff.util.TrainingUtils

Get a list of batch outputs for a single variable from a list of batch outputs for all variables

getSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

int64 size = 1;

getSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

int64 size = 1;

getSize() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder

int64 size = 1;

getSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

Size of the tensor in that dimension.

getSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

Size of the tensor in that dimension.

getSize() - Method in interface org.tensorflow.framework.TensorShapeProto.DimOrBuilder

Size of the tensor in that dimension.

getSize() - Method in class org.tensorflow.util.BundleEntryProto.Builder

int64 size = 5;

getSize() - Method in class org.tensorflow.util.BundleEntryProto

int64 size = 5;

getSize() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

int64 size = 5;

getSlices(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

getSlices(int) - Method in class org.tensorflow.util.BundleEntryProto

Iff present, this entry represents a partitioned tensor.

getSlices(int) - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

Iff present, this entry represents a partitioned tensor.

getSlicesBuilder(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

getSlicesBuilderList() - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

getSlicesCount() - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

getSlicesCount() - Method in class org.tensorflow.util.BundleEntryProto

Iff present, this entry represents a partitioned tensor.

getSlicesCount() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

Iff present, this entry represents a partitioned tensor.

getSlicesList() - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

getSlicesList() - Method in class org.tensorflow.util.BundleEntryProto

Iff present, this entry represents a partitioned tensor.

getSlicesList() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

Iff present, this entry represents a partitioned tensor.

getSlicesOrBuilder(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

getSlicesOrBuilder(int) - Method in class org.tensorflow.util.BundleEntryProto

Iff present, this entry represents a partitioned tensor.

getSlicesOrBuilder(int) - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

Iff present, this entry represents a partitioned tensor.

getSlicesOrBuilderList() - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

getSlicesOrBuilderList() - Method in class org.tensorflow.util.BundleEntryProto

Iff present, this entry represents a partitioned tensor.

getSlicesOrBuilderList() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

Iff present, this entry represents a partitioned tensor.

getSList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(string)"

getSList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(string)"

getSList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(string)"

getSlot() - Method in class org.tensorflow.framework.NodeOutput.Builder

int32 slot = 1;

getSlot() - Method in class org.tensorflow.framework.NodeOutput

int32 slot = 1;

getSlot() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder

int32 slot = 1;

getSlotName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

The name of the slot (e.g.

getSlotName() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

The name of the slot (e.g.

getSlotName() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder

The name of the slot (e.g.

getSlotNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

The name of the slot (e.g.

getSlotNameBytes() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

The name of the slot (e.g.

getSlotNameBytes() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder

The name of the slot (e.g.

getSlotVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.

getSlotVariableNodeId() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.

getSlotVariableNodeId() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder

An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.

getSlotVariables(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

getSlotVariables(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Slot variables owned by this object.

getSlotVariables(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Slot variables owned by this object.

getSlotVariablesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

getSlotVariablesBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

getSlotVariablesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

getSlotVariablesCount() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Slot variables owned by this object.

getSlotVariablesCount() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Slot variables owned by this object.

getSlotVariablesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

getSlotVariablesList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Slot variables owned by this object.

getSlotVariablesList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Slot variables owned by this object.

getSlotVariablesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

getSlotVariablesOrBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Slot variables owned by this object.

getSlotVariablesOrBuilder(int) - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Slot variables owned by this object.

getSlotVariablesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

getSlotVariablesOrBuilderList() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

Slot variables owned by this object.

getSlotVariablesOrBuilderList() - Method in interface tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder

Slot variables owned by this object.

getSnapshotName() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the snapshot tensor.

getSnapshotName() - Method in class org.tensorflow.framework.VariableDef

Name of the snapshot tensor.

getSnapshotName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Name of the snapshot tensor.

getSnapshotNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the snapshot tensor.

getSnapshotNameBytes() - Method in class org.tensorflow.framework.VariableDef

Name of the snapshot tensor.

getSnapshotNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Name of the snapshot tensor.

getSocOpId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 soc_op_id = 4;

getSocOpId() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

int32 soc_op_id = 4;

getSocOpId() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder

int32 soc_op_id = 4;

getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

Returns the solver absolute accuracy for inverse cumulative computation.

getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Returns the solver absolute accuracy for inverse cumulative computation.

getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Returns the solver absolute accuracy for inverse cumulative computation.

getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Returns the solver absolute accuracy for inverse cumulative computation.

getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Returns the solver absolute accuracy for inverse cumulative computation.

getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Returns the solver absolute accuracy for inverse cumulative computation.

getSourceFiles(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

getSourceFiles(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles

A collection of source code files.

getSourceFiles(int) - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder

A collection of source code files.

getSourceFilesBuilder(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

getSourceFilesBuilderList() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

getSourceFilesCount() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

getSourceFilesCount() - Method in class org.tensorflow.framework.DebuggedSourceFiles

A collection of source code files.

getSourceFilesCount() - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder

A collection of source code files.

getSourceFilesList() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

getSourceFilesList() - Method in class org.tensorflow.framework.DebuggedSourceFiles

A collection of source code files.

getSourceFilesList() - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder

A collection of source code files.

getSourceFilesOrBuilder(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

getSourceFilesOrBuilder(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles

A collection of source code files.

getSourceFilesOrBuilder(int) - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder

A collection of source code files.

getSourceFilesOrBuilderList() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

getSourceFilesOrBuilderList() - Method in class org.tensorflow.framework.DebuggedSourceFiles

A collection of source code files.

getSourceFilesOrBuilderList() - Method in interface org.tensorflow.framework.DebuggedSourceFilesOrBuilder

A collection of source code files.

getSourceRank() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

int32 source_rank = 2;

getSourceRank() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

int32 source_rank = 2;

getSourceRank() - Method in interface org.tensorflow.distruntime.CompleteInstanceResponseOrBuilder

int32 source_rank = 2;

getSparseInitializer(int) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializer(int) - Method in class onnx.Onnx.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializer(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializer(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializer(int) - Method in class onnx.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializer(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerCount() - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerCount() - Method in class onnx.Onnx.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerCount() - Method in interface onnx.Onnx.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerCount() - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerCount() - Method in class onnx.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerCount() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerList() - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerList() - Method in class onnx.Onnx.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerList() - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerList() - Method in class onnx.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilder(int) - Method in class onnx.Onnx.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilder(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilder(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilderList() - Method in class onnx.Onnx.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilderList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilderList() - Method in class onnx.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilderList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseTensor() - Method in class onnx.Onnx.AttributeProto.Builder

sparse tensor value

getSparseTensor() - Method in class onnx.Onnx.AttributeProto

sparse tensor value

getSparseTensor() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

sparse tensor value

getSparseTensor() - Method in class onnx.OnnxMl.AttributeProto.Builder

sparse tensor value

getSparseTensor() - Method in class onnx.OnnxMl.AttributeProto

sparse tensor value

getSparseTensor() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

sparse tensor value

getSparseTensorBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

sparse tensor value

getSparseTensorBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

sparse tensor value

getSparseTensorOrBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

sparse tensor value

getSparseTensorOrBuilder() - Method in class onnx.Onnx.AttributeProto

sparse tensor value

getSparseTensorOrBuilder() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

sparse tensor value

getSparseTensorOrBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

sparse tensor value

getSparseTensorOrBuilder() - Method in class onnx.OnnxMl.AttributeProto

sparse tensor value

getSparseTensorOrBuilder() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

sparse tensor value

getSparseTensors(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

getSparseTensors(int) - Method in class onnx.Onnx.AttributeProto

list of sparse tensors

getSparseTensors(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensors(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensors(int) - Method in class onnx.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensors(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

getSparseTensorsBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsBuilderList() - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

getSparseTensorsBuilderList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsCount() - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

getSparseTensorsCount() - Method in class onnx.Onnx.AttributeProto

list of sparse tensors

getSparseTensorsCount() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsCount() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsCount() - Method in class onnx.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensorsCount() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsList() - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

getSparseTensorsList() - Method in class onnx.Onnx.AttributeProto

list of sparse tensors

getSparseTensorsList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsList() - Method in class onnx.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensorsList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsOrBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

getSparseTensorsOrBuilder(int) - Method in class onnx.Onnx.AttributeProto

list of sparse tensors

getSparseTensorsOrBuilder(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsOrBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsOrBuilder(int) - Method in class onnx.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensorsOrBuilder(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsOrBuilderList() - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

getSparseTensorsOrBuilderList() - Method in class onnx.Onnx.AttributeProto

list of sparse tensors

getSparseTensorsOrBuilderList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsOrBuilderList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsOrBuilderList() - Method in class onnx.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensorsOrBuilderList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorType() - Method in class onnx.Onnx.TypeProto.Builder

Type of the sparse tensor

getSparseTensorType() - Method in class onnx.Onnx.TypeProto

Type of the sparse tensor

getSparseTensorType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

Type of the sparse tensor

getSparseTensorType() - Method in class onnx.OnnxMl.TypeProto.Builder

Type of the sparse tensor

getSparseTensorType() - Method in class onnx.OnnxMl.TypeProto

Type of the sparse tensor

getSparseTensorType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

Type of the sparse tensor

getSparseTensorTypeBuilder() - Method in class onnx.Onnx.TypeProto.Builder

Type of the sparse tensor

getSparseTensorTypeBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

Type of the sparse tensor

getSparseTensorTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Builder

Type of the sparse tensor

getSparseTensorTypeOrBuilder() - Method in class onnx.Onnx.TypeProto

Type of the sparse tensor

getSparseTensorTypeOrBuilder() - Method in interface onnx.Onnx.TypeProtoOrBuilder

Type of the sparse tensor

getSparseTensorTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

Type of the sparse tensor

getSparseTensorTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto

Type of the sparse tensor

getSparseTensorTypeOrBuilder() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

Type of the sparse tensor

getSpilledSize() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns number of bytes in spilled allocations.

getSrcDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, for annotating the timeline.

getSrcDevice() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional, for annotating the timeline.

getSrcDevice() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional, for annotating the timeline.

getSrcDeviceBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, for annotating the timeline.

getSrcDeviceBytes() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional, for annotating the timeline.

getSrcDeviceBytes() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional, for annotating the timeline.

getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Access the standard deviation.

getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Access the standard deviation.

getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Access the standard deviation.

getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Access the standard deviation.

getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Access the standard deviation.

getStart() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

Start index of the slice, starting at 0.

getStart() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

Start index of the slice, starting at 0.

getStart() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder

Start index of the slice, starting at 0.

getStash(T) - Method in class org.nd4j.linalg.api.memory.stash.BasicStashManager

getStash(T) - Method in interface org.nd4j.linalg.api.memory.stash.StashManager

getState() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.LSTMCellOutputs

Get c, the cell's state.

getState() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRUCellOutputs

Get c, the state of the cell.

getState() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRULayerOutputs

Get c, the state of the cell.

getState() - Method in class org.nd4j.linalg.learning.AdaBeliefUpdater

getState() - Method in class org.nd4j.linalg.learning.AdaDeltaUpdater

getState() - Method in class org.nd4j.linalg.learning.AdaGradUpdater

getState() - Method in class org.nd4j.linalg.learning.AdaMaxUpdater

getState() - Method in class org.nd4j.linalg.learning.AdamUpdater

getState() - Method in class org.nd4j.linalg.learning.AMSGradUpdater

getState() - Method in interface org.nd4j.linalg.learning.GradientUpdater

getState() - Method in class org.nd4j.linalg.learning.NadamUpdater

getState() - Method in class org.nd4j.linalg.learning.NesterovsUpdater

getState() - Method in class org.nd4j.linalg.learning.NoOpUpdater

getState() - Method in class org.nd4j.linalg.learning.RmsPropUpdater

getState() - Method in class org.nd4j.linalg.learning.SgdUpdater

getState(AllocationKind) - Method in class org.nd4j.linalg.api.memory.DeviceAllocationsTracker

getStatePointer() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

This method returns pointer to RNG state structure.

getStatePointer() - Method in interface org.nd4j.linalg.api.rng.Random

This method returns pointer to RNG state structure.

getStatus() - Method in class onnx.OnnxOperators.OperatorProto.Builder

This field indicates whether the syntax, semantics, or presence of this operator is in an experimental or stable stage.

getStatus() - Method in class onnx.OnnxOperators.OperatorProto

This field indicates whether the syntax, semantics, or presence of this operator is in an experimental or stable stage.

getStatus() - Method in interface onnx.OnnxOperators.OperatorProtoOrBuilder

This field indicates whether the syntax, semantics, or presence of this operator is in an experimental or stable stage.

getStatusCode() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCode() - Method in class org.tensorflow.distruntime.RunGraphResponse

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCode() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCode() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCode() - Method in class org.tensorflow.distruntime.RunStepResponse

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCode() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCodeValue() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCodeValue() - Method in class org.tensorflow.distruntime.RunGraphResponse

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCodeValue() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCodeValue() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCodeValue() - Method in class org.tensorflow.distruntime.RunStepResponse

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusCodeValue() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

getStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

string status_error_message = 6;

getStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunGraphResponse

string status_error_message = 6;

getStatusErrorMessage() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

string status_error_message = 6;

getStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

string status_error_message = 4;

getStatusErrorMessage() - Method in class org.tensorflow.distruntime.RunStepResponse

string status_error_message = 4;

getStatusErrorMessage() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

string status_error_message = 4;

getStatusErrorMessageBytes() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

string status_error_message = 6;

getStatusErrorMessageBytes() - Method in class org.tensorflow.distruntime.RunGraphResponse

string status_error_message = 6;

getStatusErrorMessageBytes() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

string status_error_message = 6;

getStatusErrorMessageBytes() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

string status_error_message = 4;

getStatusErrorMessageBytes() - Method in class org.tensorflow.distruntime.RunStepResponse

string status_error_message = 4;

getStatusErrorMessageBytes() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

string status_error_message = 4;

GetStatusRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.GetStatusRequest

GetStatusRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.GetStatusRequest

GetStatusRequestOrBuilder - Interface in org.tensorflow.distruntime

GetStatusResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.GetStatusResponse

GetStatusResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.GetStatusResponse

GetStatusResponseOrBuilder - Interface in org.tensorflow.distruntime

getStatusValue() - Method in class onnx.OnnxOperators.OperatorProto.Builder

This field indicates whether the syntax, semantics, or presence of this operator is in an experimental or stable stage.

getStatusValue() - Method in class onnx.OnnxOperators.OperatorProto

This field indicates whether the syntax, semantics, or presence of this operator is in an experimental or stable stage.

getStatusValue() - Method in interface onnx.OnnxOperators.OperatorProtoOrBuilder

This field indicates whether the syntax, semantics, or presence of this operator is in an experimental or stable stage.

getStd() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

getStd() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

getStep(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

getStep(int) - Method in class org.tensorflow.distruntime.LoggingResponse

repeated .tensorflow.LabeledStepStats step = 1;

getStep(int) - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder

repeated .tensorflow.LabeledStepStats step = 1;

getStepBuilder(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

getStepBuilderList() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

getStepCount() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

getStepCount() - Method in class org.tensorflow.distruntime.LoggingResponse

repeated .tensorflow.LabeledStepStats step = 1;

getStepCount() - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder

repeated .tensorflow.LabeledStepStats step = 1;

getStepId() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

int64 step_id = 1;

getStepId() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

int64 step_id = 1;

getStepId() - Method in interface org.tensorflow.distruntime.CleanupGraphRequestOrBuilder

int64 step_id = 1;

getStepId() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

int64 step_id = 1;

getStepId() - Method in class org.tensorflow.distruntime.LabeledStepStats

int64 step_id = 1;

getStepId() - Method in interface org.tensorflow.distruntime.LabeledStepStatsOrBuilder

int64 step_id = 1;

getStepId() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Used at server side to find the correct BufRendezvous.

getStepId() - Method in class org.tensorflow.distruntime.RecvBufRequest

Used at server side to find the correct BufRendezvous.

getStepId() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Used at server side to find the correct BufRendezvous.

getStepId() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

The step in which the tensor will be produced.

getStepId() - Method in class org.tensorflow.distruntime.RecvTensorRequest

The step in which the tensor will be produced.

getStepId() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

The step in which the tensor will be produced.

getStepId() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

A unique ID to distinguish different runs of the same graph.

getStepId() - Method in class org.tensorflow.distruntime.RunGraphRequest

A unique ID to distinguish different runs of the same graph.

getStepId() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

A unique ID to distinguish different runs of the same graph.

getStepId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Process-unique step id.

getStepId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

Process-unique step id.

getStepId() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder

Process-unique step id.

getStepId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Process-unique step id.

getStepId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

Process-unique step id.

getStepId() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder

Process-unique step id.

getStepId() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

Process-unique step id.

getStepId() - Method in class org.tensorflow.framework.MemoryLogStep

Process-unique step id.

getStepId() - Method in interface org.tensorflow.framework.MemoryLogStepOrBuilder

Process-unique step id.

getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Process-unique step id.

getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

Process-unique step id.

getStepId() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder

Process-unique step id.

getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Process-unique step id.

getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

Process-unique step id.

getStepId() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder

Process-unique step id.

getStepList() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

getStepList() - Method in class org.tensorflow.distruntime.LoggingResponse

repeated .tensorflow.LabeledStepStats step = 1;

getStepList() - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder

repeated .tensorflow.LabeledStepStats step = 1;

getStepNumber() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns step number.

getStepOrBuilder(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

getStepOrBuilder(int) - Method in class org.tensorflow.distruntime.LoggingResponse

repeated .tensorflow.LabeledStepStats step = 1;

getStepOrBuilder(int) - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder

repeated .tensorflow.LabeledStepStats step = 1;

getStepOrBuilderList() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

getStepOrBuilderList() - Method in class org.tensorflow.distruntime.LoggingResponse

repeated .tensorflow.LabeledStepStats step = 1;

getStepOrBuilderList() - Method in interface org.tensorflow.distruntime.LoggingResponseOrBuilder

repeated .tensorflow.LabeledStepStats step = 1;

getStepSequence(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequence(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequence(int) - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceBuilder(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceBuilderList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceCount() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceCount() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceCount() - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceList() - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceOrBuilder(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceOrBuilder(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceOrBuilder(int) - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceOrBuilderList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceOrBuilderList() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

repeated .tensorflow.StepSequence step_sequence = 1;

getStepSequenceOrBuilderList() - Method in interface org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder

repeated .tensorflow.StepSequence step_sequence = 1;

GetStepSequenceRequest - Class in org.tensorflow.distruntime

Request for next agreed-upon step_id for the specified graph_keys.

GetStepSequenceRequest.Builder - Class in org.tensorflow.distruntime

Request for next agreed-upon step_id for the specified graph_keys.

GetStepSequenceRequestOrBuilder - Interface in org.tensorflow.distruntime

GetStepSequenceResponse - Class in org.tensorflow.distruntime

Next valid step_ids for one or more graph_keys.

GetStepSequenceResponse.Builder - Class in org.tensorflow.distruntime

Next valid step_ids for one or more graph_keys.

GetStepSequenceResponseOrBuilder - Interface in org.tensorflow.distruntime

getStepStats() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

.tensorflow.StepStats step_stats = 2;

getStepStats() - Method in class org.tensorflow.distruntime.LabeledStepStats

.tensorflow.StepStats step_stats = 2;

getStepStats() - Method in interface org.tensorflow.distruntime.LabeledStepStatsOrBuilder

.tensorflow.StepStats step_stats = 2;

getStepStats() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

getStepStats() - Method in class org.tensorflow.distruntime.RunGraphResponse

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

getStepStats() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

getStepStats() - Method in class org.tensorflow.framework.RunMetadata.Builder

Statistics traced for this step.

getStepStats() - Method in class org.tensorflow.framework.RunMetadata

Statistics traced for this step.

getStepStats() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

Statistics traced for this step.

getStepStatsBuilder() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

.tensorflow.StepStats step_stats = 2;

getStepStatsBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

getStepStatsBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder

Statistics traced for this step.

getStepStatsOrBuilder() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

.tensorflow.StepStats step_stats = 2;

getStepStatsOrBuilder() - Method in class org.tensorflow.distruntime.LabeledStepStats

.tensorflow.StepStats step_stats = 2;

getStepStatsOrBuilder() - Method in interface org.tensorflow.distruntime.LabeledStepStatsOrBuilder

.tensorflow.StepStats step_stats = 2;

getStepStatsOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

getStepStatsOrBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

getStepStatsOrBuilder() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

getStepStatsOrBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder

Statistics traced for this step.

getStepStatsOrBuilder() - Method in class org.tensorflow.framework.RunMetadata

Statistics traced for this step.

getStepStatsOrBuilder() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

Statistics traced for this step.

getStirlingError(double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion

Compute the error of Stirling's series at the given value.

getStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.

getStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunGraphRequest

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.

getStoreErrorsInResponseBody() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.

getStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.

getStoreErrorsInResponseBody() - Method in class org.tensorflow.distruntime.RunStepRequest

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.

getStoreErrorsInResponseBody() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.

getStrength() - Method in class org.tensorflow.framework.InterconnectLink.Builder

int32 strength = 3;

getStrength() - Method in class org.tensorflow.framework.InterconnectLink

int32 strength = 3;

getStrength() - Method in interface org.tensorflow.framework.InterconnectLinkOrBuilder

int32 strength = 3;

getStrideForOrdering(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Return the proper stride through a vector relative to the ordering of the array This is for incX/incY parameters in BLAS.

getStrides(@lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Get the strides based on the shape and NDArrays.order()

getStrides(@lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Get the strides based on the shape and NDArrays.order()

getStrides(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getStrides(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Get the strides for the given order and shape

getStrides(long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

getString(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get string value at given index.

getString(DataBuffer, long) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

getString(DataBuffer, long) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method extracts String from Utf8Buffer

getStringData(int) - Method in class onnx.Onnx.TensorProto.Builder

For strings.

getStringData(int) - Method in class onnx.Onnx.TensorProto

For strings.

getStringData(int) - Method in interface onnx.Onnx.TensorProtoOrBuilder

For strings.

getStringData(int) - Method in class onnx.OnnxMl.TensorProto.Builder

For strings.

getStringData(int) - Method in class onnx.OnnxMl.TensorProto

For strings.

getStringData(int) - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For strings.

getStringData(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For strings.

getStringData(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For strings.

getStringData(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For strings.

getStringDataCount() - Method in class onnx.Onnx.TensorProto.Builder

For strings.

getStringDataCount() - Method in class onnx.Onnx.TensorProto

For strings.

getStringDataCount() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For strings.

getStringDataCount() - Method in class onnx.OnnxMl.TensorProto.Builder

For strings.

getStringDataCount() - Method in class onnx.OnnxMl.TensorProto

For strings.

getStringDataCount() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For strings.

getStringDataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For strings.

getStringDataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For strings.

getStringDataCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For strings.

getStringDataList() - Method in class onnx.Onnx.TensorProto.Builder

For strings.

getStringDataList() - Method in class onnx.Onnx.TensorProto

For strings.

getStringDataList() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For strings.

getStringDataList() - Method in class onnx.OnnxMl.TensorProto.Builder

For strings.

getStringDataList() - Method in class onnx.OnnxMl.TensorProto

For strings.

getStringDataList() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For strings.

getStringDataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For strings.

getStringDataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For strings.

getStringDataList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For strings.

getStringFromProperty(String, Map<String, Object>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

getStrings(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of UTF-8 strings

getStrings(int) - Method in class onnx.Onnx.AttributeProto

list of UTF-8 strings

getStrings(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of UTF-8 strings

getStrings(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

getStrings(int) - Method in class onnx.OnnxMl.AttributeProto

list of UTF-8 strings

getStrings(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of UTF-8 strings

getStringsCount() - Method in class onnx.Onnx.AttributeProto.Builder

list of UTF-8 strings

getStringsCount() - Method in class onnx.Onnx.AttributeProto

list of UTF-8 strings

getStringsCount() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of UTF-8 strings

getStringsCount() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

getStringsCount() - Method in class onnx.OnnxMl.AttributeProto

list of UTF-8 strings

getStringsCount() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of UTF-8 strings

getStringsList() - Method in class onnx.Onnx.AttributeProto.Builder

list of UTF-8 strings

getStringsList() - Method in class onnx.Onnx.AttributeProto

list of UTF-8 strings

getStringsList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of UTF-8 strings

getStringsList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

getStringsList() - Method in class onnx.OnnxMl.AttributeProto

list of UTF-8 strings

getStringsList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of UTF-8 strings

getStringVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_STRING

getStringVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_STRING

getStringVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_STRING

getStringValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_STRING

getStringValCount() - Method in class org.tensorflow.framework.TensorProto

DT_STRING

getStringValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_STRING

getStringValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_STRING

getStringValList() - Method in class org.tensorflow.framework.TensorProto

DT_STRING

getStringValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_STRING

getStringValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string stringValue = 12;

getStringValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

string stringValue = 12;

getStringValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

string stringValue = 12;

getStringValueBytes() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string stringValue = 12;

getStringValueBytes() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

string stringValue = 12;

getStringValueBytes() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

string stringValue = 12;

getStrippedDefaultAttrs() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.

getStrippedDefaultAttrs() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.

getStrippedDefaultAttrs() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.

getStrippedOpList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A copy of the OpDefs used by the producer of this graph_def.

getStrippedOpList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

A copy of the OpDefs used by the producer of this graph_def.

getStrippedOpList() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

A copy of the OpDefs used by the producer of this graph_def.

getStrippedOpListBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A copy of the OpDefs used by the producer of this graph_def.

getStrippedOpListOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A copy of the OpDefs used by the producer of this graph_def.

getStrippedOpListOrBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

A copy of the OpDefs used by the producer of this graph_def.

getStrippedOpListOrBuilder() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

A copy of the OpDefs used by the producer of this graph_def.

getSubdivOffset(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

repeated int32 subdiv_offset = 9;

getSubdivOffset(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

repeated int32 subdiv_offset = 9;

getSubdivOffset(int) - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

repeated int32 subdiv_offset = 9;

getSubdivOffsetCount() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

repeated int32 subdiv_offset = 9;

getSubdivOffsetCount() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

repeated int32 subdiv_offset = 9;

getSubdivOffsetCount() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

repeated int32 subdiv_offset = 9;

getSubdivOffsetList() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

repeated int32 subdiv_offset = 9;

getSubdivOffsetList() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

repeated int32 subdiv_offset = 9;

getSubdivOffsetList() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

repeated int32 subdiv_offset = 9;

getSubGraph(SameDiff, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

Get the SubGraph that matches the predicate

getSubgraphsMatching(SameDiff, SubGraphPredicate) - Static method in class org.nd4j.autodiff.samediff.transform.GraphTransformUtil

Get a list of all the subgraphs that match the specified predicate

getSubMatricesWithShape(char, long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getSubMatricesWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getSum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet

getSum() - Method in class org.tensorflow.framework.HistogramProto.Builder

double sum = 4;

getSum() - Method in class org.tensorflow.framework.HistogramProto

double sum = 4;

getSum() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

double sum = 4;

getSum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator

getSummary() - Method in class org.tensorflow.framework.ApiDef.Builder

One-line human-readable description of what the Op does.

getSummary() - Method in class org.tensorflow.framework.ApiDef

One-line human-readable description of what the Op does.

getSummary() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

One-line human-readable description of what the Op does.

getSummary() - Method in class org.tensorflow.framework.OpDef.Builder

One-line human-readable description of what the Op does.

getSummary() - Method in class org.tensorflow.framework.OpDef

One-line human-readable description of what the Op does.

getSummary() - Method in interface org.tensorflow.framework.OpDefOrBuilder

One-line human-readable description of what the Op does.

getSummaryBytes() - Method in class org.tensorflow.framework.ApiDef.Builder

One-line human-readable description of what the Op does.

getSummaryBytes() - Method in class org.tensorflow.framework.ApiDef

One-line human-readable description of what the Op does.

getSummaryBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

One-line human-readable description of what the Op does.

getSummaryBytes() - Method in class org.tensorflow.framework.OpDef.Builder

One-line human-readable description of what the Op does.

getSummaryBytes() - Method in class org.tensorflow.framework.OpDef

One-line human-readable description of what the Op does.

getSummaryBytes() - Method in interface org.tensorflow.framework.OpDefOrBuilder

One-line human-readable description of what the Op does.

getSummaryDescription() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Longform readable description of the summary sequence.

getSummaryDescription() - Method in class org.tensorflow.framework.SummaryMetadata

Longform readable description of the summary sequence.

getSummaryDescription() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder

Longform readable description of the summary sequence.

getSummaryDescriptionBytes() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Longform readable description of the summary sequence.

getSummaryDescriptionBytes() - Method in class org.tensorflow.framework.SummaryMetadata

Longform readable description of the summary sequence.

getSummaryDescriptionBytes() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder

Longform readable description of the summary sequence.

getSumSquares() - Method in class org.tensorflow.framework.HistogramProto.Builder

double sum_squares = 5;

getSumSquares() - Method in class org.tensorflow.framework.HistogramProto

double sum_squares = 5;

getSumSquares() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder

double sum_squares = 5;

getSupportedClass() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy

Get the class of the supported custom serializer

getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy

getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.ImagePreProcessingSerializerStrategy

getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy

getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy

getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy

getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy

getSupportedType() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy

Get the enum opType of the supported normalizer

getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy

getSupportLowerBound() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Access the lower bound of the support.

getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Access the lower bound of the support.

getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Access the lower bound of the support.

getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Access the lower bound of the support.

getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Access the lower bound of the support.

getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Access the lower bound of the support.

getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Access the lower bound of the support.

getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Access the lower bound of the support.

getSupportUpperBound() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Access the upper bound of the support.

getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Access the upper bound of the support.

getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Access the upper bound of the support.

getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Access the upper bound of the support.

getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Access the upper bound of the support.

getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Access the upper bound of the support.

getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Access the upper bound of the support.

getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Access the upper bound of the support.

getSwapMemory() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Whether GPU-CPU memory swap is enabled for this loop.

getSwapMemory() - Method in class org.tensorflow.framework.WhileContextDef

Whether GPU-CPU memory swap is enabled for this loop.

getSwapMemory() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Whether GPU-CPU memory swap is enabled for this loop.

getSymmetrizedCols() - Method in class org.nd4j.linalg.api.ops.custom.BarnesHutSymmetrize

getSymmetrizedValues() - Method in class org.nd4j.linalg.api.ops.custom.BarnesHutSymmetrize

getSystemInfo() - Static method in class org.nd4j.systeminfo.SystemInfo

Gets system info in a string

getT() - Method in class onnx.Onnx.AttributeProto.Builder

tensor value

getT() - Method in class onnx.Onnx.AttributeProto

tensor value

getT() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

tensor value

getT() - Method in class onnx.OnnxMl.AttributeProto.Builder

tensor value

getT() - Method in class onnx.OnnxMl.AttributeProto

tensor value

getT() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

tensor value

getTADLength(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape

getTADLength(long[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape

getTADManager() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

getTADManager() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns TADManager instance used for this OpExecutioner

getTADOnlyShapeInfo(INDArray, int...) - Method in interface org.nd4j.linalg.cache.TADManager

This method returns TAD shapeInfo and all offsets for specified tensor and dimensions.

getTag() - Method in class org.tensorflow.framework.Summary.Value.Builder

Tag name for the data.

getTag() - Method in class org.tensorflow.framework.Summary.Value

Tag name for the data.

getTag() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

Tag name for the data.

getTagBytes() - Method in class org.tensorflow.framework.Summary.Value.Builder

Tag name for the data.

getTagBytes() - Method in class org.tensorflow.framework.Summary.Value

Tag name for the data.

getTagBytes() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

Tag name for the data.

getTags(int) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User supplied tag(s) on the meta_graph and included graph_def.

getTags(int) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

User supplied tag(s) on the meta_graph and included graph_def.

getTags(int) - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

User supplied tag(s) on the meta_graph and included graph_def.

getTagsBytes(int) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User supplied tag(s) on the meta_graph and included graph_def.

getTagsBytes(int) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

User supplied tag(s) on the meta_graph and included graph_def.

getTagsBytes(int) - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

User supplied tag(s) on the meta_graph and included graph_def.

getTagsCount() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User supplied tag(s) on the meta_graph and included graph_def.

getTagsCount() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

User supplied tag(s) on the meta_graph and included graph_def.

getTagsCount() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

User supplied tag(s) on the meta_graph and included graph_def.

getTagsList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User supplied tag(s) on the meta_graph and included graph_def.

getTagsList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

User supplied tag(s) on the meta_graph and included graph_def.

getTagsList() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

User supplied tag(s) on the meta_graph and included graph_def.

getTarget() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The target string used from the client's perspective.

getTarget() - Method in class org.tensorflow.distruntime.CreateSessionRequest

The target string used from the client's perspective.

getTarget() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder

The target string used from the client's perspective.

getTarget(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Target Nodes.

getTarget(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Target Nodes.

getTarget(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Target Nodes.

getTarget(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Target Nodes.

getTarget(int) - Method in class org.tensorflow.distruntime.RunStepRequest

Target Nodes.

getTarget(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Target Nodes.

getTarget(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Target Nodes.

getTarget(int) - Method in class org.tensorflow.framework.CallableOptions

Target Nodes.

getTarget(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Target Nodes.

getTargetBytes() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The target string used from the client's perspective.

getTargetBytes() - Method in class org.tensorflow.distruntime.CreateSessionRequest

The target string used from the client's perspective.

getTargetBytes() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder

The target string used from the client's perspective.

getTargetBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Target Nodes.

getTargetBytes(int) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Target Nodes.

getTargetBytes(int) - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Target Nodes.

getTargetBytes(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Target Nodes.

getTargetBytes(int) - Method in class org.tensorflow.distruntime.RunStepRequest

Target Nodes.

getTargetBytes(int) - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Target Nodes.

getTargetBytes(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Target Nodes.

getTargetBytes(int) - Method in class org.tensorflow.framework.CallableOptions

Target Nodes.

getTargetBytes(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Target Nodes.

getTargetCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Target Nodes.

getTargetCount() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Target Nodes.

getTargetCount() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Target Nodes.

getTargetCount() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Target Nodes.

getTargetCount() - Method in class org.tensorflow.distruntime.RunStepRequest

Target Nodes.

getTargetCount() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Target Nodes.

getTargetCount() - Method in class org.tensorflow.framework.CallableOptions.Builder

Target Nodes.

getTargetCount() - Method in class org.tensorflow.framework.CallableOptions

Target Nodes.

getTargetCount() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Target Nodes.

getTargetList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Target Nodes.

getTargetList() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

Target Nodes.

getTargetList() - Method in interface org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder

Target Nodes.

getTargetList() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Target Nodes.

getTargetList() - Method in class org.tensorflow.distruntime.RunStepRequest

Target Nodes.

getTargetList() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Target Nodes.

getTargetList() - Method in class org.tensorflow.framework.CallableOptions.Builder

Target Nodes.

getTargetList() - Method in class org.tensorflow.framework.CallableOptions

Target Nodes.

getTargetList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Target Nodes.

getTargetMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

getTargetMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getTargetMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

getTargetMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getTArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp

getTArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

getTArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

getTArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

getTaskIndex() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The task index of this server in its job.

getTaskIndex() - Method in class org.tensorflow.distruntime.ServerDef

The task index of this server in its job.

getTaskIndex() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The task index of this server in its job.

getTaskName(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

task name prefixes of device_names

getTaskName(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse

task name prefixes of device_names

getTaskName(int) - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

task name prefixes of device_names

getTaskNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

task name prefixes of device_names

getTaskNameBytes(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse

task name prefixes of device_names

getTaskNameBytes(int) - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

task name prefixes of device_names

getTaskNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

task name prefixes of device_names

getTaskNameCount() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

task name prefixes of device_names

getTaskNameCount() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

task name prefixes of device_names

getTaskNameList() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

task name prefixes of device_names

getTaskNameList() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

task name prefixes of device_names

getTaskNameList() - Method in interface org.tensorflow.distruntime.CompleteGroupResponseOrBuilder

task name prefixes of device_names

getTasks() - Method in class org.tensorflow.distruntime.JobDef.Builder

Deprecated.

getTasks() - Method in class org.tensorflow.distruntime.JobDef

Deprecated.

getTasks() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder

Deprecated.

getTasksCount() - Method in class org.tensorflow.distruntime.JobDef.Builder

getTasksCount() - Method in class org.tensorflow.distruntime.JobDef

getTasksCount() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder

Mapping from task ID to "hostname:port" string.

getTasksMap() - Method in class org.tensorflow.distruntime.JobDef.Builder

Mapping from task ID to "hostname:port" string.

getTasksMap() - Method in class org.tensorflow.distruntime.JobDef

Mapping from task ID to "hostname:port" string.

getTasksMap() - Method in interface org.tensorflow.distruntime.JobDefOrBuilder

Mapping from task ID to "hostname:port" string.

getTasksOrDefault(int, String) - Method in class org.tensorflow.distruntime.JobDef.Builder

Mapping from task ID to "hostname:port" string.

getTasksOrDefault(int, String) - Method in class org.tensorflow.distruntime.JobDef

Mapping from task ID to "hostname:port" string.

getTasksOrDefault(int, String) - Method in interface org.tensorflow.distruntime.JobDefOrBuilder

Mapping from task ID to "hostname:port" string.

getTasksOrThrow(int) - Method in class org.tensorflow.distruntime.JobDef.Builder

Mapping from task ID to "hostname:port" string.

getTasksOrThrow(int) - Method in class org.tensorflow.distruntime.JobDef

Mapping from task ID to "hostname:port" string.

getTasksOrThrow(int) - Method in interface org.tensorflow.distruntime.JobDefOrBuilder

Mapping from task ID to "hostname:port" string.

getTBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

tensor value

getTBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

tensor value

getTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder

int64 temp_memory_size = 1;

getTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats

int64 temp_memory_size = 1;

getTempMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder

int64 temp_memory_size = 1;

getTemporaryMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Temporary memory used by this node.

getTemporaryMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node

Temporary memory used by this node.

getTemporaryMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder

Temporary memory used by this node.

getTensor() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The tensor as a proto.

getTensor() - Method in class org.tensorflow.distruntime.RecvTensorResponse

The tensor as a proto.

getTensor() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder

The tensor as a proto.

getTensor() - Method in class org.tensorflow.framework.AttrValue.Builder

"tensor"

getTensor() - Method in class org.tensorflow.framework.AttrValue

"tensor"

getTensor() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"tensor"

getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Allocated tensor details.

getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

Allocated tensor details.

getTensor() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder

Allocated tensor details.

getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Output tensor details.

getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

Output tensor details.

getTensor() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder

Output tensor details.

getTensor() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

getTensor() - Method in class org.tensorflow.framework.NamedTensorProto

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

getTensor() - Method in interface org.tensorflow.framework.NamedTensorProtoOrBuilder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

getTensor() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.TensorProto tensor = 8;

getTensor() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.TensorProto tensor = 8;

getTensor() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.TensorProto tensor = 8;

getTensor(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensor(int) - Method in class org.tensorflow.distruntime.RunStepResponse

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensor(int) - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensor(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

getTensor(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(tensor)"

getTensor(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(tensor)"

getTensorAlongDimensionMatricesWithShape(char, long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getTensorAlongDimensionMatricesWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getTensorArray(SameDiff, SDVariable) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Get the associated TensorArray instance related to this op.

getTensorArraysInSession(String) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get the INDArray associated with the given variable name

getTensorArraysInSession(String, String, int, FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get the INDArray associated with the given variable name

getTensorBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The tensor as a proto.

getTensorBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder

"tensor"

getTensorBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Allocated tensor details.

getTensorBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Output tensor details.

getTensorBuilder() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

getTensorBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.TensorProto tensor = 8;

getTensorBuilder(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

getTensorBuilderList() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

getTensorConnection(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

getTensorConnection(int) - Method in class org.tensorflow.framework.CallableOptions

Tensors to be connected in the callable.

getTensorConnection(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Tensors to be connected in the callable.

getTensorConnectionBuilder(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

getTensorConnectionBuilderList() - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

getTensorConnectionCount() - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

getTensorConnectionCount() - Method in class org.tensorflow.framework.CallableOptions

Tensors to be connected in the callable.

getTensorConnectionCount() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Tensors to be connected in the callable.

getTensorConnectionList() - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

getTensorConnectionList() - Method in class org.tensorflow.framework.CallableOptions

Tensors to be connected in the callable.

getTensorConnectionList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Tensors to be connected in the callable.

getTensorConnectionOrBuilder(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

getTensorConnectionOrBuilder(int) - Method in class org.tensorflow.framework.CallableOptions

Tensors to be connected in the callable.

getTensorConnectionOrBuilder(int) - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Tensors to be connected in the callable.

getTensorConnectionOrBuilderList() - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

getTensorConnectionOrBuilderList() - Method in class org.tensorflow.framework.CallableOptions

Tensors to be connected in the callable.

getTensorConnectionOrBuilderList() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Tensors to be connected in the callable.

getTensorContent() - Method in class org.tensorflow.framework.TensorProto.Builder

Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.

getTensorContent() - Method in class org.tensorflow.framework.TensorProto

Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.

getTensorContent() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.

getTensorContent() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

bytes tensor_content = 1;

getTensorContent() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

bytes tensor_content = 1;

getTensorContent() - Method in interface tensorflow.TransportOptions.RecvBufRespExtraOrBuilder

bytes tensor_content = 1;

getTensorCount() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorCount() - Method in class org.tensorflow.distruntime.RunStepResponse

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorCount() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

getTensorCount() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(tensor)"

getTensorCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(tensor)"

getTensorDescription() - Method in class org.tensorflow.framework.NodeOutput.Builder

.tensorflow.TensorDescription tensor_description = 3;

getTensorDescription() - Method in class org.tensorflow.framework.NodeOutput

.tensorflow.TensorDescription tensor_description = 3;

getTensorDescription() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder

.tensorflow.TensorDescription tensor_description = 3;

getTensorDescriptionBuilder() - Method in class org.tensorflow.framework.NodeOutput.Builder

.tensorflow.TensorDescription tensor_description = 3;

getTensorDescriptionOrBuilder() - Method in class org.tensorflow.framework.NodeOutput.Builder

.tensorflow.TensorDescription tensor_description = 3;

getTensorDescriptionOrBuilder() - Method in class org.tensorflow.framework.NodeOutput

.tensorflow.TensorDescription tensor_description = 3;

getTensorDescriptionOrBuilder() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder

.tensorflow.TensorDescription tensor_description = 3;

getTensorflowGitVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __git_version__ string of the tensorflow build used to write this graph.

getTensorflowGitVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

The __git_version__ string of the tensorflow build used to write this graph.

getTensorflowGitVersion() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

The __git_version__ string of the tensorflow build used to write this graph.

getTensorflowGitVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __git_version__ string of the tensorflow build used to write this graph.

getTensorflowGitVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

The __git_version__ string of the tensorflow build used to write this graph.

getTensorflowGitVersionBytes() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

The __git_version__ string of the tensorflow build used to write this graph.

getTensorFlowNames() - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

getTensorflowVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __version__ string of the tensorflow build used to write this graph.

getTensorflowVersion() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

The __version__ string of the tensorflow build used to write this graph.

getTensorflowVersion() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

The __version__ string of the tensorflow build used to write this graph.

getTensorflowVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __version__ string of the tensorflow build used to write this graph.

getTensorflowVersionBytes() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

The __version__ string of the tensorflow build used to write this graph.

getTensorflowVersionBytes() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

The __version__ string of the tensorflow build used to write this graph.

getTensorFromOutputs(AbstractSession.VarId) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

getTensorInfo() - Method in class org.tensorflow.framework.AssetFileDef.Builder

The tensor to bind the asset filename to.

getTensorInfo() - Method in class org.tensorflow.framework.AssetFileDef

The tensor to bind the asset filename to.

getTensorInfo() - Method in interface org.tensorflow.framework.AssetFileDefOrBuilder

The tensor to bind the asset filename to.

getTensorInfoBuilder() - Method in class org.tensorflow.framework.AssetFileDef.Builder

The tensor to bind the asset filename to.

getTensorInfoOrBuilder() - Method in class org.tensorflow.framework.AssetFileDef.Builder

The tensor to bind the asset filename to.

getTensorInfoOrBuilder() - Method in class org.tensorflow.framework.AssetFileDef

The tensor to bind the asset filename to.

getTensorInfoOrBuilder() - Method in interface org.tensorflow.framework.AssetFileDefOrBuilder

The tensor to bind the asset filename to.

getTensorList() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorList() - Method in class org.tensorflow.distruntime.RunStepResponse

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorList() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

getTensorList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(tensor)"

getTensorList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(tensor)"

getTensorName() - Method in class onnx.Onnx.TensorAnnotation.Builder

string tensor_name = 1;

getTensorName() - Method in class onnx.Onnx.TensorAnnotation

string tensor_name = 1;

getTensorName() - Method in interface onnx.Onnx.TensorAnnotationOrBuilder

string tensor_name = 1;

getTensorName() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

string tensor_name = 1;

getTensorName() - Method in class onnx.OnnxMl.TensorAnnotation

string tensor_name = 1;

getTensorName() - Method in interface onnx.OnnxMl.TensorAnnotationOrBuilder

string tensor_name = 1;

getTensorNameBytes() - Method in class onnx.Onnx.TensorAnnotation.Builder

string tensor_name = 1;

getTensorNameBytes() - Method in class onnx.Onnx.TensorAnnotation

string tensor_name = 1;

getTensorNameBytes() - Method in interface onnx.Onnx.TensorAnnotationOrBuilder

string tensor_name = 1;

getTensorNameBytes() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

string tensor_name = 1;

getTensorNameBytes() - Method in class onnx.OnnxMl.TensorAnnotation

string tensor_name = 1;

getTensorNameBytes() - Method in interface onnx.OnnxMl.TensorAnnotationOrBuilder

string tensor_name = 1;

getTensorOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The tensor as a proto.

getTensorOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse

The tensor as a proto.

getTensorOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder

The tensor as a proto.

getTensorOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder

"tensor"

getTensorOrBuilder() - Method in class org.tensorflow.framework.AttrValue

"tensor"

getTensorOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"tensor"

getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Allocated tensor details.

getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

Allocated tensor details.

getTensorOrBuilder() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder

Allocated tensor details.

getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Output tensor details.

getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

Output tensor details.

getTensorOrBuilder() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder

Output tensor details.

getTensorOrBuilder() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

getTensorOrBuilder() - Method in class org.tensorflow.framework.NamedTensorProto

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

getTensorOrBuilder() - Method in interface org.tensorflow.framework.NamedTensorProtoOrBuilder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

getTensorOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.TensorProto tensor = 8;

getTensorOrBuilder() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.TensorProto tensor = 8;

getTensorOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.TensorProto tensor = 8;

getTensorOrBuilder(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorOrBuilder(int) - Method in class org.tensorflow.distruntime.RunStepResponse

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorOrBuilder(int) - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

getTensorOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(tensor)"

getTensorOrBuilder(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(tensor)"

getTensorOrBuilderList() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorOrBuilderList() - Method in class org.tensorflow.distruntime.RunStepResponse

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorOrBuilderList() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

getTensorOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

getTensorOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(tensor)"

getTensorOrBuilderList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(tensor)"

getTensors(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

getTensors(int) - Method in class onnx.Onnx.AttributeProto

list of tensors

getTensors(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of tensors

getTensors(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

getTensors(int) - Method in class onnx.OnnxMl.AttributeProto

list of tensors

getTensors(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensors(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

getTensors(int) - Method in class org.tensorflow.framework.VariantTensorDataProto

Tensors contained within objects being serialized.

getTensors(int) - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder

Tensors contained within objects being serialized.

getTensorsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

getTensorsBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

getTensorsBuilderList() - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

getTensorsBuilderList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsBuilderList() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

getTensorsCount() - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

getTensorsCount() - Method in class onnx.Onnx.AttributeProto

list of tensors

getTensorsCount() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of tensors

getTensorsCount() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsCount() - Method in class onnx.OnnxMl.AttributeProto

list of tensors

getTensorsCount() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensorsCount() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

getTensorsCount() - Method in class org.tensorflow.framework.VariantTensorDataProto

Tensors contained within objects being serialized.

getTensorsCount() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder

Tensors contained within objects being serialized.

getTensorShape() - Method in class org.tensorflow.framework.TensorInfo.Builder

The static shape should be recorded here, to the extent that it can be known in advance.

getTensorShape() - Method in class org.tensorflow.framework.TensorInfo

The static shape should be recorded here, to the extent that it can be known in advance.

getTensorShape() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

The static shape should be recorded here, to the extent that it can be known in advance.

getTensorShape() - Method in class org.tensorflow.framework.TensorProto.Builder

Shape of the tensor.

getTensorShape() - Method in class org.tensorflow.framework.TensorProto

Shape of the tensor.

getTensorShape() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

Shape of the tensor.

getTensorShapeBuilder() - Method in class org.tensorflow.framework.TensorInfo.Builder

The static shape should be recorded here, to the extent that it can be known in advance.

getTensorShapeBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder

Shape of the tensor.

getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorInfo.Builder

The static shape should be recorded here, to the extent that it can be known in advance.

getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorInfo

The static shape should be recorded here, to the extent that it can be known in advance.

getTensorShapeOrBuilder() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

The static shape should be recorded here, to the extent that it can be known in advance.

getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder

Shape of the tensor.

getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorProto

Shape of the tensor.

getTensorShapeOrBuilder() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

Shape of the tensor.

getTensorsList() - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

getTensorsList() - Method in class onnx.Onnx.AttributeProto

list of tensors

getTensorsList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of tensors

getTensorsList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsList() - Method in class onnx.OnnxMl.AttributeProto

list of tensors

getTensorsList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensorsList() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

getTensorsList() - Method in class org.tensorflow.framework.VariantTensorDataProto

Tensors contained within objects being serialized.

getTensorsList() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder

Tensors contained within objects being serialized.

getTensorsOrBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

getTensorsOrBuilder(int) - Method in class onnx.Onnx.AttributeProto

list of tensors

getTensorsOrBuilder(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of tensors

getTensorsOrBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsOrBuilder(int) - Method in class onnx.OnnxMl.AttributeProto

list of tensors

getTensorsOrBuilder(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensorsOrBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

getTensorsOrBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto

Tensors contained within objects being serialized.

getTensorsOrBuilder(int) - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder

Tensors contained within objects being serialized.

getTensorsOrBuilderList() - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

getTensorsOrBuilderList() - Method in class onnx.Onnx.AttributeProto

list of tensors

getTensorsOrBuilderList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of tensors

getTensorsOrBuilderList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsOrBuilderList() - Method in class onnx.OnnxMl.AttributeProto

list of tensors

getTensorsOrBuilderList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensorsOrBuilderList() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

getTensorsOrBuilderList() - Method in class org.tensorflow.framework.VariantTensorDataProto

Tensors contained within objects being serialized.

getTensorsOrBuilderList() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder

Tensors contained within objects being serialized.

getTensorType() - Method in class onnx.Onnx.TypeProto.Builder

The type of a tensor.

getTensorType() - Method in class onnx.Onnx.TypeProto

The type of a tensor.

getTensorType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of a tensor.

getTensorType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a tensor.

getTensorType() - Method in class onnx.OnnxMl.TypeProto

The type of a tensor.

getTensorType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of a tensor.

getTensorType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

The type of a tensor.

getTensorType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

The type of a tensor.

getTensorType() - Method in interface org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder

The type of a tensor.

getTensorTypeBuilder() - Method in class onnx.Onnx.TypeProto.Builder

The type of a tensor.

getTensorTypeBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a tensor.

getTensorTypeBuilder() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

The type of a tensor.

getTensorTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Builder

The type of a tensor.

getTensorTypeOrBuilder() - Method in class onnx.Onnx.TypeProto

The type of a tensor.

getTensorTypeOrBuilder() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of a tensor.

getTensorTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a tensor.

getTensorTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto

The type of a tensor.

getTensorTypeOrBuilder() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of a tensor.

getTensorTypeOrBuilder() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

The type of a tensor.

getTensorTypeOrBuilder() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

The type of a tensor.

getTensorTypeOrBuilder() - Method in interface org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder

The type of a tensor.

getTensorValue() - Method in class org.nd4j.autodiff.samediff.config.SDValue

Return an INDArray if the value type is SDValueType.LIST and the number of elements is 1 otherwise return the SDValue.tensorValue

getTest() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain

getTestMatricesWithVaryingShapes(int, char, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

Test utility to sweep shapes given a rank Given a rank will generate random test matrices that will cover all cases of a shape with a '1' anywhere in the shape as well a shape with random ints that are not 0 or 1 eg.

getTFOpMappingFunctions() - Static method in class org.nd4j.imports.converters.ImportClassMapping

getThisCycleAllocations() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method returns amount of memory consumed in last successful cycle, in bytes

getThisCycleAllocations() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns number of bytes allocated during THIS cycle

getThisCycleAllocations() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns amount of memory consumed in current cycle, in bytes

getThreadId() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

getThreadId() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns threadId where this workspace was created

getThreadId() - Method in class org.tensorflow.framework.NodeExecStats.Builder

uint32 thread_id = 10;

getThreadId() - Method in class org.tensorflow.framework.NodeExecStats

uint32 thread_id = 10;

getThreadId() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

uint32 thread_id = 10;

getThreadsPerInstance() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns desired number of threads per Aggregate instance PLEASE NOTE: this method is especially important for CUDA backend.

getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

This method returns desired number of threads per Aggregate instance PLEASE NOTE: this method is especially important for CUDA backend.

getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

getThreshold(int) - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

getThreshold(int) - Method in class org.nd4j.evaluation.curves.RocCurve

getTimelineLabel() - Method in class org.tensorflow.framework.NodeExecStats.Builder

string timeline_label = 8;

getTimelineLabel() - Method in class org.tensorflow.framework.NodeExecStats

string timeline_label = 8;

getTimelineLabel() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

string timeline_label = 8;

getTimelineLabelBytes() - Method in class org.tensorflow.framework.NodeExecStats.Builder

string timeline_label = 8;

getTimelineLabelBytes() - Method in class org.tensorflow.framework.NodeExecStats

string timeline_label = 8;

getTimelineLabelBytes() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

string timeline_label = 8;

getTimelineStep() - Method in class org.tensorflow.framework.GraphOptions.Builder

If > 0, record a timeline every this many steps.

getTimelineStep() - Method in class org.tensorflow.framework.GraphOptions

If > 0, record a timeline every this many steps.

getTimelineStep() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

If > 0, record a timeline every this many steps.

getTimeoutInMs() - Method in class org.tensorflow.framework.RunOptions.Builder

Time to wait for operation to complete in milliseconds.

getTimeoutInMs() - Method in class org.tensorflow.framework.RunOptions

Time to wait for operation to complete in milliseconds.

getTimeoutInMs() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

Time to wait for operation to complete in milliseconds.

getTitle() - Method in class org.nd4j.evaluation.curves.BaseCurve

getTitle() - Method in class org.nd4j.evaluation.curves.BaseHistogram

getTitle() - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

getTitle() - Method in class org.nd4j.evaluation.curves.ReliabilityDiagram

getTitle() - Method in class org.nd4j.evaluation.curves.RocCurve

getTolerateDebugOpCreationFailures() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Do not error out if debug op creation fails (e.g., due to dtype incompatibility).

getTolerateDebugOpCreationFailures() - Method in class org.tensorflow.framework.DebugTensorWatch

Do not error out if debug op creation fails (e.g., due to dtype incompatibility).

getTolerateDebugOpCreationFailures() - Method in interface org.tensorflow.framework.DebugTensorWatchOrBuilder

Do not error out if debug op creation fails (e.g., due to dtype incompatibility).

getTopNCorrectCount() - Method in class org.nd4j.evaluation.classification.Evaluation

Return the number of correct predictions according to top N value.

getTopNTotalCount() - Method in class org.nd4j.evaluation.classification.Evaluation

Return the total number of top N evaluations.

getTOrBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

tensor value

getTOrBuilder() - Method in class onnx.Onnx.AttributeProto

tensor value

getTOrBuilder() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

tensor value

getTOrBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

tensor value

getTOrBuilder() - Method in class onnx.OnnxMl.AttributeProto

tensor value

getTOrBuilder() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

tensor value

getTotalBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

These are per-node allocator memory stats.

getTotalBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

These are per-node allocator memory stats.

getTotalBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder

These are per-node allocator memory stats.

getTotalEventsNumber() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree

getTotalEventsNumber() - Method in class org.nd4j.linalg.profiler.data.StackAggregator

getToTensor() - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

getToTensor() - Method in class org.tensorflow.framework.TensorConnection

A tensor name.

getToTensor() - Method in interface org.tensorflow.framework.TensorConnectionOrBuilder

A tensor name.

getToTensorBytes() - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

getToTensorBytes() - Method in class org.tensorflow.framework.TensorConnection

A tensor name.

getToTensorBytes() - Method in interface org.tensorflow.framework.TensorConnectionOrBuilder

A tensor name.

getTp() - Method in class onnx.Onnx.AttributeProto.Builder

Do not use field below, it's deprecated.

getTp() - Method in class onnx.Onnx.AttributeProto

Do not use field below, it's deprecated.

getTp() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

Do not use field below, it's deprecated.

getTp() - Method in class onnx.OnnxMl.AttributeProto.Builder

Do not use field below, it's deprecated.

getTp() - Method in class onnx.OnnxMl.AttributeProto

Do not use field below, it's deprecated.

getTp() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

Do not use field below, it's deprecated.

getTpBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

Do not use field below, it's deprecated.

getTpBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

Do not use field below, it's deprecated.

getTpOrBuilder() - Method in class onnx.Onnx.AttributeProto.Builder

Do not use field below, it's deprecated.

getTpOrBuilder() - Method in class onnx.Onnx.AttributeProto

Do not use field below, it's deprecated.

getTpOrBuilder() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

Do not use field below, it's deprecated.

getTpOrBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder

Do not use field below, it's deprecated.

getTpOrBuilder() - Method in class onnx.OnnxMl.AttributeProto

Do not use field below, it's deprecated.

getTpOrBuilder() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

Do not use field below, it's deprecated.

getTraceEvents(File, ProfileAnalyzer.ProfileFormat) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

Load and return the TraceEvent object from the specified profile file

getTraceEvents(File, ProfileAnalyzer.ProfileFormat, boolean) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

getTraceEventsDir(File, ProfileAnalyzer.ProfileFormat) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

Load, aggregate and return the TraceEvent object from all profiles in the specified directory

getTraceLevel() - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.TraceLevel trace_level = 1;

getTraceLevel() - Method in class org.tensorflow.framework.RunOptions

.tensorflow.RunOptions.TraceLevel trace_level = 1;

getTraceLevel() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

.tensorflow.RunOptions.TraceLevel trace_level = 1;

getTraceLevelValue() - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.TraceLevel trace_level = 1;

getTraceLevelValue() - Method in class org.tensorflow.framework.RunOptions

.tensorflow.RunOptions.TraceLevel trace_level = 1;

getTraceLevelValue() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

.tensorflow.RunOptions.TraceLevel trace_level = 1;

getTrailingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getTrailingOnes() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get the number of trailing ones in the array shape.

getTrain() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain

getTrainable() - Method in class org.tensorflow.framework.VariableDef.Builder

Whether this variable should be trained.

getTrainable() - Method in class org.tensorflow.framework.VariableDef

Whether this variable should be trained.

getTrainable() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Whether this variable should be trained.

getTrainingInfo(int) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

getTrainingInfo(int) - Method in class onnx.Onnx.ModelProto

Training-specific information.

getTrainingInfo(int) - Method in interface onnx.Onnx.ModelProtoOrBuilder

Training-specific information.

getTrainingInfo(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfo(int) - Method in class onnx.OnnxMl.ModelProto

Training-specific information.

getTrainingInfo(int) - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

getTrainingInfoBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoBuilderList() - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

getTrainingInfoBuilderList() - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoCount() - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

getTrainingInfoCount() - Method in class onnx.Onnx.ModelProto

Training-specific information.

getTrainingInfoCount() - Method in interface onnx.Onnx.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoCount() - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoCount() - Method in class onnx.OnnxMl.ModelProto

Training-specific information.

getTrainingInfoCount() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoList() - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

getTrainingInfoList() - Method in class onnx.Onnx.ModelProto

Training-specific information.

getTrainingInfoList() - Method in interface onnx.Onnx.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoList() - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoList() - Method in class onnx.OnnxMl.ModelProto

Training-specific information.

getTrainingInfoList() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoOrBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

getTrainingInfoOrBuilder(int) - Method in class onnx.Onnx.ModelProto

Training-specific information.

getTrainingInfoOrBuilder(int) - Method in interface onnx.Onnx.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoOrBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoOrBuilder(int) - Method in class onnx.OnnxMl.ModelProto

Training-specific information.

getTrainingInfoOrBuilder(int) - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoOrBuilderList() - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

getTrainingInfoOrBuilderList() - Method in class onnx.Onnx.ModelProto

Training-specific information.

getTrainingInfoOrBuilderList() - Method in interface onnx.Onnx.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoOrBuilderList() - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoOrBuilderList() - Method in class onnx.OnnxMl.ModelProto

Training-specific information.

getTrainingInfoOrBuilderList() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getTransformerArgs(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgs(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgs(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgs(int) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgs(int) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgs(int) - Method in interface org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsBuilderList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsBuilderList() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsCount() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsCount() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsCount() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsCount() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsCount() - Method in interface org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsList() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsList() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsList() - Method in interface org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsOrBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsOrBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsOrBuilder(int) - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsOrBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsOrBuilder(int) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsOrBuilder(int) - Method in interface org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsOrBuilderList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsOrBuilderList() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsOrBuilderList() - Method in interface org.nd4j.ir.MapperNamespace.MappingRuleOrBuilder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

getTransformerArgsOrBuilderList() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsOrBuilderList() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransformerArgsOrBuilderList() - Method in interface org.nd4j.ir.MapperNamespace.TransformerArgsOrBuilder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

getTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, implementation-specific data.

getTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional, implementation-specific data.

getTransportOptions() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional, implementation-specific data.

getTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, implementation-specific data.

getTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufResponse

Optional, implementation-specific data.

getTransportOptions() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder

Optional, implementation-specific data.

getTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information needed by the RPC subsystem.

getTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Optional information needed by the RPC subsystem.

getTransportOptions() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Optional information needed by the RPC subsystem.

getTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

Optional additional information about how to receive the tensor, e.g.

getTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorResponse

Optional additional information about how to receive the tensor, e.g.

getTransportOptions() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder

Optional additional information about how to receive the tensor, e.g.

getTransportOptionsBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, implementation-specific data.

getTransportOptionsBuilder() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, implementation-specific data.

getTransportOptionsBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information needed by the RPC subsystem.

getTransportOptionsBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

Optional additional information about how to receive the tensor, e.g.

getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, implementation-specific data.

getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional, implementation-specific data.

getTransportOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional, implementation-specific data.

getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, implementation-specific data.

getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvBufResponse

Optional, implementation-specific data.

getTransportOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder

Optional, implementation-specific data.

getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information needed by the RPC subsystem.

getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Optional information needed by the RPC subsystem.

getTransportOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Optional information needed by the RPC subsystem.

getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

Optional additional information about how to receive the tensor, e.g.

getTransportOptionsOrBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse

Optional additional information about how to receive the tensor, e.g.

getTransportOptionsOrBuilder() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder

Optional additional information about how to receive the tensor, e.g.

getTransposedMatrixWithShape(char, int, int, int, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getTransposedMatrixWithShape(long, long, long, DataType) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getTruePositiveRate(int) - Method in class org.nd4j.evaluation.curves.RocCurve

getType() - Method in class onnx.Onnx.AttributeProto.Builder

The type field MUST be present for this version of the IR.

getType() - Method in class onnx.Onnx.AttributeProto

The type field MUST be present for this version of the IR.

getType() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

The type field MUST be present for this version of the IR.

getType() - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getType() - Method in class onnx.Onnx.ValueInfoProto

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getType() - Method in interface onnx.Onnx.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getType() - Method in class onnx.OnnxMl.AttributeProto.Builder

The type field MUST be present for this version of the IR.

getType() - Method in class onnx.OnnxMl.AttributeProto

The type field MUST be present for this version of the IR.

getType() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

The type field MUST be present for this version of the IR.

getType() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getType() - Method in class onnx.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getType() - Method in interface onnx.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

This field MUST be present in this version of the IR.

getType() - Method in interface org.nd4j.ir.TensorNamespace.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

getType() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer

Get the enum opType of this normalizer

getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

getType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 type = 2;

getType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

int32 type = 2;

getType() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

int32 type = 2;

getType() - Method in class org.tensorflow.framework.AttrValue.Builder

"type"

getType() - Method in class org.tensorflow.framework.AttrValue

"type"

getType() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"type"

getType() - Method in class org.tensorflow.framework.InterconnectLink.Builder

string type = 2;

getType() - Method in class org.tensorflow.framework.InterconnectLink

string type = 2;

getType() - Method in interface org.tensorflow.framework.InterconnectLinkOrBuilder

string type = 2;

getType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Describes the type of one or more tensors that are accepted/produced by this input/output arg.

getType() - Method in class org.tensorflow.framework.OpDef.ArgDef

Describes the type of one or more tensors that are accepted/produced by this input/output arg.

getType() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

Describes the type of one or more tensors that are accepted/produced by this input/output arg.

getType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).

getType() - Method in class org.tensorflow.framework.OpDef.AttrDef

One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).

getType() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).

getType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Device type (CPU, GPU, ...)

getType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Device type (CPU, GPU, ...)

getType() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Device type (CPU, GPU, ...)

getType(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

getType(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(type)"

getType(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(type)"

getTypeAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "type"

getTypeAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef

if specified, attr must have type "type"

getTypeAttr() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

if specified, attr must have type "type"

getTypeAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "type"

getTypeAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef

if specified, attr must have type "type"

getTypeAttrBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

if specified, attr must have type "type"

getTypeBuilder() - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeBuilder() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeBuilder() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getTypeBytes() - Method in class org.tensorflow.framework.InterconnectLink.Builder

string type = 2;

getTypeBytes() - Method in class org.tensorflow.framework.InterconnectLink

string type = 2;

getTypeBytes() - Method in interface org.tensorflow.framework.InterconnectLinkOrBuilder

string type = 2;

getTypeBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).

getTypeBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef

One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).

getTypeBytes() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).

getTypeBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Device type (CPU, GPU, ...)

getTypeBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Device type (CPU, GPU, ...)

getTypeBytes() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Device type (CPU, GPU, ...)

getTypeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

getTypeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(type)"

getTypeCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(type)"

getTypeFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

This method converts enums for Op.Type

getTypeHint() - Method in class org.tensorflow.framework.SummaryDescription.Builder

Hint on how plugins should process the data in this series.

getTypeHint() - Method in class org.tensorflow.framework.SummaryDescription

Hint on how plugins should process the data in this series.

getTypeHint() - Method in interface org.tensorflow.framework.SummaryDescriptionOrBuilder

Hint on how plugins should process the data in this series.

getTypeHintBytes() - Method in class org.tensorflow.framework.SummaryDescription.Builder

Hint on how plugins should process the data in this series.

getTypeHintBytes() - Method in class org.tensorflow.framework.SummaryDescription

Hint on how plugins should process the data in this series.

getTypeHintBytes() - Method in interface org.tensorflow.framework.SummaryDescriptionOrBuilder

Hint on how plugins should process the data in this series.

getTypeList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

getTypeList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(type)"

getTypeList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(type)"

getTypeListAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.

getTypeListAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef

If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.

getTypeListAttr() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.

getTypeListAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.

getTypeListAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef

If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.

getTypeListAttrBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.

getTypeName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string type_name = 3;

getTypeName() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

string type_name = 3;

getTypeName() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder

string type_name = 3;

getTypeName() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Name of the type of objects being serialized.

getTypeName() - Method in class org.tensorflow.framework.VariantTensorDataProto

Name of the type of objects being serialized.

getTypeName() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder

Name of the type of objects being serialized.

getTypeNameBytes() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string type_name = 3;

getTypeNameBytes() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

string type_name = 3;

getTypeNameBytes() - Method in interface org.tensorflow.framework.GraphTransferNodeInfoOrBuilder

string type_name = 3;

getTypeNameBytes() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Name of the type of objects being serialized.

getTypeNameBytes() - Method in class org.tensorflow.framework.VariantTensorDataProto

Name of the type of objects being serialized.

getTypeNameBytes() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder

Name of the type of objects being serialized.

getTypeOrBuilder() - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeOrBuilder() - Method in class onnx.Onnx.ValueInfoProto

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeOrBuilder() - Method in interface onnx.Onnx.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeOrBuilder() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeOrBuilder() - Method in class onnx.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeOrBuilder() - Method in interface onnx.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeOrBuilder() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getTypeOrBuilder() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

This field MUST be present in this version of the IR.

getTypeOrBuilder() - Method in interface org.nd4j.ir.TensorNamespace.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getTypeProtos(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

getTypeProtos(int) - Method in class onnx.Onnx.AttributeProto

list of type protos

getTypeProtos(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of type protos

getTypeProtos(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

getTypeProtos(int) - Method in class onnx.OnnxMl.AttributeProto

list of type protos

getTypeProtos(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of type protos

getTypeProtosBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

getTypeProtosBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

getTypeProtosBuilderList() - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

getTypeProtosBuilderList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

getTypeProtosCount() - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

getTypeProtosCount() - Method in class onnx.Onnx.AttributeProto

list of type protos

getTypeProtosCount() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of type protos

getTypeProtosCount() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

getTypeProtosCount() - Method in class onnx.OnnxMl.AttributeProto

list of type protos

getTypeProtosCount() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of type protos

getTypeProtosList() - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

getTypeProtosList() - Method in class onnx.Onnx.AttributeProto

list of type protos

getTypeProtosList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of type protos

getTypeProtosList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

getTypeProtosList() - Method in class onnx.OnnxMl.AttributeProto

list of type protos

getTypeProtosList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of type protos

getTypeProtosOrBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

getTypeProtosOrBuilder(int) - Method in class onnx.Onnx.AttributeProto

list of type protos

getTypeProtosOrBuilder(int) - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of type protos

getTypeProtosOrBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

getTypeProtosOrBuilder(int) - Method in class onnx.OnnxMl.AttributeProto

list of type protos

getTypeProtosOrBuilder(int) - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of type protos

getTypeProtosOrBuilderList() - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

getTypeProtosOrBuilderList() - Method in class onnx.Onnx.AttributeProto

list of type protos

getTypeProtosOrBuilderList() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

list of type protos

getTypeProtosOrBuilderList() - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

getTypeProtosOrBuilderList() - Method in class onnx.OnnxMl.AttributeProto

list of type protos

getTypeProtosOrBuilderList() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

list of type protos

getTypeValue() - Method in class onnx.Onnx.AttributeProto.Builder

The type field MUST be present for this version of the IR.

getTypeValue() - Method in class onnx.Onnx.AttributeProto

The type field MUST be present for this version of the IR.

getTypeValue() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

The type field MUST be present for this version of the IR.

getTypeValue() - Method in class onnx.OnnxMl.AttributeProto.Builder

The type field MUST be present for this version of the IR.

getTypeValue() - Method in class onnx.OnnxMl.AttributeProto

The type field MUST be present for this version of the IR.

getTypeValue() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

The type field MUST be present for this version of the IR.

getTypeValue() - Method in class org.tensorflow.framework.AttrValue.Builder

"type"

getTypeValue() - Method in class org.tensorflow.framework.AttrValue

"type"

getTypeValue() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"type"

getTypeValue() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Describes the type of one or more tensors that are accepted/produced by this input/output arg.

getTypeValue() - Method in class org.tensorflow.framework.OpDef.ArgDef

Describes the type of one or more tensors that are accepted/produced by this input/output arg.

getTypeValue() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder

Describes the type of one or more tensors that are accepted/produced by this input/output arg.

getTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

getTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(type)"

getTypeValue(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(type)"

getTypeValueList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

getTypeValueList() - Method in class org.tensorflow.framework.AttrValue.ListValue

"list(type)"

getTypeValueList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder

"list(type)"

getUFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

getUFactor(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack

extracts the U (upper triangular) matrix from the LU factor result U will be n x n matrix where n = num cols in A

getUint32Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT32

getUint32Val(int) - Method in class org.tensorflow.framework.TensorProto

DT_UINT32

getUint32Val(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_UINT32

getUint32ValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT32

getUint32ValCount() - Method in class org.tensorflow.framework.TensorProto

DT_UINT32

getUint32ValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_UINT32

getUint32ValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT32

getUint32ValList() - Method in class org.tensorflow.framework.TensorProto

DT_UINT32

getUint32ValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_UINT32

getUint64Data(int) - Method in class onnx.Onnx.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in class onnx.Onnx.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in interface onnx.Onnx.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in class onnx.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in class onnx.OnnxMl.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in class onnx.Onnx.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in class onnx.Onnx.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in class onnx.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in class onnx.OnnxMl.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in class onnx.Onnx.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in class onnx.Onnx.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in interface onnx.Onnx.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in class onnx.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in class onnx.OnnxMl.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT64

getUint64Val(int) - Method in class org.tensorflow.framework.TensorProto

DT_UINT64

getUint64Val(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_UINT64

getUint64ValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT64

getUint64ValCount() - Method in class org.tensorflow.framework.TensorProto

DT_UINT64

getUint64ValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_UINT64

getUint64ValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT64

getUint64ValList() - Method in class org.tensorflow.framework.TensorProto

DT_UINT64

getUint64ValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_UINT64

getUniqueBranchesNumber() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree

getUniqueBranchesNumber() - Method in class org.nd4j.linalg.profiler.data.StackAggregator

getUniqueId() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

getUniqueId() - Method in interface org.nd4j.linalg.api.memory.Deallocatable

This method returns unique ID for this instance

getUnknownFields() - Method in class onnx.Onnx.AttributeProto

getUnknownFields() - Method in class onnx.Onnx.FunctionProto

getUnknownFields() - Method in class onnx.Onnx.GraphProto

getUnknownFields() - Method in class onnx.Onnx.ModelProto

getUnknownFields() - Method in class onnx.Onnx.NodeProto

getUnknownFields() - Method in class onnx.Onnx.OperatorSetIdProto

getUnknownFields() - Method in class onnx.Onnx.SparseTensorProto

getUnknownFields() - Method in class onnx.Onnx.StringStringEntryProto

getUnknownFields() - Method in class onnx.Onnx.TensorAnnotation

getUnknownFields() - Method in class onnx.Onnx.TensorProto

getUnknownFields() - Method in class onnx.Onnx.TensorProto.Segment

getUnknownFields() - Method in class onnx.Onnx.TensorShapeProto.Dimension

getUnknownFields() - Method in class onnx.Onnx.TensorShapeProto

getUnknownFields() - Method in class onnx.Onnx.TrainingInfoProto

getUnknownFields() - Method in class onnx.Onnx.TypeProto

getUnknownFields() - Method in class onnx.Onnx.TypeProto.Map

getUnknownFields() - Method in class onnx.Onnx.TypeProto.Optional

getUnknownFields() - Method in class onnx.Onnx.TypeProto.Sequence

getUnknownFields() - Method in class onnx.Onnx.TypeProto.SparseTensor

getUnknownFields() - Method in class onnx.Onnx.TypeProto.Tensor

getUnknownFields() - Method in class onnx.Onnx.ValueInfoProto

getUnknownFields() - Method in class onnx.OnnxMl.AttributeProto

getUnknownFields() - Method in class onnx.OnnxMl.FunctionProto

getUnknownFields() - Method in class onnx.OnnxMl.GraphProto

getUnknownFields() - Method in class onnx.OnnxMl.ModelProto

getUnknownFields() - Method in class onnx.OnnxMl.NodeProto

getUnknownFields() - Method in class onnx.OnnxMl.OperatorSetIdProto

getUnknownFields() - Method in class onnx.OnnxMl.SparseTensorProto

getUnknownFields() - Method in class onnx.OnnxMl.StringStringEntryProto

getUnknownFields() - Method in class onnx.OnnxMl.TensorAnnotation

getUnknownFields() - Method in class onnx.OnnxMl.TensorProto

getUnknownFields() - Method in class onnx.OnnxMl.TensorProto.Segment

getUnknownFields() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

getUnknownFields() - Method in class onnx.OnnxMl.TensorShapeProto

getUnknownFields() - Method in class onnx.OnnxMl.TrainingInfoProto

getUnknownFields() - Method in class onnx.OnnxMl.TypeProto

getUnknownFields() - Method in class onnx.OnnxMl.TypeProto.Map

getUnknownFields() - Method in class onnx.OnnxMl.TypeProto.Opaque

getUnknownFields() - Method in class onnx.OnnxMl.TypeProto.Optional

getUnknownFields() - Method in class onnx.OnnxMl.TypeProto.Sequence

getUnknownFields() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

getUnknownFields() - Method in class onnx.OnnxMl.TypeProto.Tensor

getUnknownFields() - Method in class onnx.OnnxMl.ValueInfoProto

getUnknownFields() - Method in class onnx.OnnxOperators.OperatorProto

getUnknownFields() - Method in class onnx.OnnxOperators.OperatorSetProto

getUnknownFields() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

getUnknownFields() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

getUnknownFields() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

getUnknownFields() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

getUnknownFields() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

getUnknownFields() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

getUnknownFields() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

getUnknownFields() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

getUnknownFields() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

getUnknownFields() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

getUnknownFields() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

getUnknownFields() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

getUnknownFields() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

getUnknownFields() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

getUnknownFields() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

getUnknownFields() - Method in class org.tensorflow.distruntime.CleanupAllRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.CleanupAllResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.CleanupGraphResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.CloseSessionRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.CloseSessionResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.ClusterDef

getUnknownFields() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.CreateSessionRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.CreateSessionResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.ExecutorOpts

getUnknownFields() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.GetStatusRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.GetStatusResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.JobDef

getUnknownFields() - Method in class org.tensorflow.distruntime.LabeledStepStats

getUnknownFields() - Method in class org.tensorflow.distruntime.ListDevicesRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.ListDevicesResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.LoggingRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.LoggingResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.MakeCallableRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.MakeCallableResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.RecvBufRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.RecvBufResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.RecvTensorRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.RecvTensorResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.ResetRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.ResetResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.RunCallableRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.RunCallableResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.RunGraphRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.RunGraphResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.RunStepRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.RunStepResponse

getUnknownFields() - Method in class org.tensorflow.distruntime.ServerDef

getUnknownFields() - Method in class org.tensorflow.distruntime.StepSequence

getUnknownFields() - Method in class org.tensorflow.distruntime.TraceOpts

getUnknownFields() - Method in class org.tensorflow.distruntime.TracingRequest

getUnknownFields() - Method in class org.tensorflow.distruntime.TracingResponse

getUnknownFields() - Method in class org.tensorflow.framework.AllocationDescription

getUnknownFields() - Method in class org.tensorflow.framework.AllocationRecord

getUnknownFields() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

getUnknownFields() - Method in class org.tensorflow.framework.ApiDef.Arg

getUnknownFields() - Method in class org.tensorflow.framework.ApiDef.Attr

getUnknownFields() - Method in class org.tensorflow.framework.ApiDef.Endpoint

getUnknownFields() - Method in class org.tensorflow.framework.ApiDef

getUnknownFields() - Method in class org.tensorflow.framework.ApiDefs

getUnknownFields() - Method in class org.tensorflow.framework.AssetFileDef

getUnknownFields() - Method in class org.tensorflow.framework.AttrValue

getUnknownFields() - Method in class org.tensorflow.framework.AttrValue.ListValue

getUnknownFields() - Method in class org.tensorflow.framework.AutoParallelOptions

getUnknownFields() - Method in class org.tensorflow.framework.CallableOptions

getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.AnyList

getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.BytesList

getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.FloatList

getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef

getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.Int64List

getUnknownFields() - Method in class org.tensorflow.framework.CollectionDef.NodeList

getUnknownFields() - Method in class org.tensorflow.framework.CondContextDef

getUnknownFields() - Method in class org.tensorflow.framework.ConfigProto.Experimental

getUnknownFields() - Method in class org.tensorflow.framework.ConfigProto

getUnknownFields() - Method in class org.tensorflow.framework.ControlFlowContextDef

getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef

getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef.Node

getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

getUnknownFields() - Method in class org.tensorflow.framework.CriticalSectionDef

getUnknownFields() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

getUnknownFields() - Method in class org.tensorflow.framework.DebuggedSourceFile

getUnknownFields() - Method in class org.tensorflow.framework.DebuggedSourceFiles

getUnknownFields() - Method in class org.tensorflow.framework.DebugOptions

getUnknownFields() - Method in class org.tensorflow.framework.DebugTensorWatch

getUnknownFields() - Method in class org.tensorflow.framework.DeviceAttributes

getUnknownFields() - Method in class org.tensorflow.framework.DeviceLocality

getUnknownFields() - Method in class org.tensorflow.framework.DeviceStepStats

getUnknownFields() - Method in class org.tensorflow.framework.FunctionDef

getUnknownFields() - Method in class org.tensorflow.framework.FunctionDefLibrary

getUnknownFields() - Method in class org.tensorflow.framework.GPUOptions.Experimental

getUnknownFields() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

getUnknownFields() - Method in class org.tensorflow.framework.GPUOptions

getUnknownFields() - Method in class org.tensorflow.framework.GradientDef

getUnknownFields() - Method in class org.tensorflow.framework.GraphDef

getUnknownFields() - Method in class org.tensorflow.framework.GraphOptions

getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo

getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferNodeInput

getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

getUnknownFields() - Method in class org.tensorflow.framework.HistogramProto

getUnknownFields() - Method in class org.tensorflow.framework.InterconnectLink

getUnknownFields() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

getUnknownFields() - Method in class org.tensorflow.framework.KernelDef

getUnknownFields() - Method in class org.tensorflow.framework.LocalLinks

getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogStep

getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

getUnknownFields() - Method in class org.tensorflow.framework.MemoryStats

getUnknownFields() - Method in class org.tensorflow.framework.MetaGraphDef

getUnknownFields() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

getUnknownFields() - Method in class org.tensorflow.framework.NameAttrList

getUnknownFields() - Method in class org.tensorflow.framework.NamedTensorProto

getUnknownFields() - Method in class org.tensorflow.framework.NodeDef

getUnknownFields() - Method in class org.tensorflow.framework.NodeExecStats

getUnknownFields() - Method in class org.tensorflow.framework.NodeOutput

getUnknownFields() - Method in class org.tensorflow.framework.OpDef.ArgDef

getUnknownFields() - Method in class org.tensorflow.framework.OpDef.AttrDef

getUnknownFields() - Method in class org.tensorflow.framework.OpDef

getUnknownFields() - Method in class org.tensorflow.framework.OpDeprecation

getUnknownFields() - Method in class org.tensorflow.framework.OpList

getUnknownFields() - Method in class org.tensorflow.framework.OptimizerOptions

getUnknownFields() - Method in class org.tensorflow.framework.QueueRunnerDef

getUnknownFields() - Method in class org.tensorflow.framework.ReaderBaseState

getUnknownFields() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

getUnknownFields() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

getUnknownFields() - Method in class org.tensorflow.framework.ResourceHandleProto

getUnknownFields() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

getUnknownFields() - Method in class org.tensorflow.framework.RewriterConfig

getUnknownFields() - Method in class org.tensorflow.framework.RPCOptions

getUnknownFields() - Method in class org.tensorflow.framework.RunMetadata

getUnknownFields() - Method in class org.tensorflow.framework.RunOptions.Experimental

getUnknownFields() - Method in class org.tensorflow.framework.RunOptions

getUnknownFields() - Method in class org.tensorflow.framework.SavedModel

getUnknownFields() - Method in class org.tensorflow.framework.SaveSliceInfoDef

getUnknownFields() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

getUnknownFields() - Method in class org.tensorflow.framework.SignatureDef

getUnknownFields() - Method in class org.tensorflow.framework.StepStats

getUnknownFields() - Method in class org.tensorflow.framework.Summary.Audio

getUnknownFields() - Method in class org.tensorflow.framework.Summary

getUnknownFields() - Method in class org.tensorflow.framework.Summary.Image

getUnknownFields() - Method in class org.tensorflow.framework.Summary.Value

getUnknownFields() - Method in class org.tensorflow.framework.SummaryDescription

getUnknownFields() - Method in class org.tensorflow.framework.SummaryMetadata

getUnknownFields() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

getUnknownFields() - Method in class org.tensorflow.framework.TensorConnection

getUnknownFields() - Method in class org.tensorflow.framework.TensorDescription

getUnknownFields() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

getUnknownFields() - Method in class org.tensorflow.framework.TensorInfo

getUnknownFields() - Method in class org.tensorflow.framework.TensorProto

getUnknownFields() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

getUnknownFields() - Method in class org.tensorflow.framework.TensorShapeProto

getUnknownFields() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

getUnknownFields() - Method in class org.tensorflow.framework.TensorSliceProto

getUnknownFields() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

getUnknownFields() - Method in class org.tensorflow.framework.ValuesDef

getUnknownFields() - Method in class org.tensorflow.framework.VariableDef

getUnknownFields() - Method in class org.tensorflow.framework.VariantTensorDataProto

getUnknownFields() - Method in class org.tensorflow.framework.VersionDef

getUnknownFields() - Method in class org.tensorflow.framework.WhileContextDef

getUnknownFields() - Method in class org.tensorflow.util.BundleEntryProto

getUnknownFields() - Method in class org.tensorflow.util.BundleHeaderProto

getUnknownFields() - Method in class org.tensorflow.util.IteratorStateMetadata

getUnknownFields() - Method in class org.tensorflow.util.SaverDef

getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

getUnknownFields() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

getUnknownFields() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

getUnknownFields() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

getUnknownFields() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

getUnknownFields() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

getUnknownRank() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

If true, the number of dimensions in the shape is unknown.

getUnknownRank() - Method in class org.tensorflow.framework.TensorShapeProto

If true, the number of dimensions in the shape is unknown.

getUnknownRank() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder

If true, the number of dimensions in the shape is unknown.

getUpdateBinding(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBinding(int) - Method in class onnx.Onnx.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBinding(int) - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBinding(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBinding(int) - Method in class onnx.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBinding(int) - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingBuilder(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingBuilder(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingBuilderList() - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingBuilderList() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingCount() - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingCount() - Method in class onnx.Onnx.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingCount() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingCount() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingCount() - Method in class onnx.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingCount() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingList() - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingList() - Method in class onnx.Onnx.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingList() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingList() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingList() - Method in class onnx.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingList() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilder(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilder(int) - Method in class onnx.Onnx.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilder(int) - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilder(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilder(int) - Method in class onnx.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilder(int) - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilderList() - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilderList() - Method in class onnx.Onnx.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilderList() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilderList() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilderList() - Method in class onnx.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilderList() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUseExtendedProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture extended profiling events from TensorFlow process.

getUseExtendedProfiler() - Method in class org.tensorflow.distruntime.TraceOpts

If true, capture extended profiling events from TensorFlow process.

getUseExtendedProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder

If true, capture extended profiling events from TensorFlow process.

getUseGpuProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture GPU profiling events locally on each machine.

getUseGpuProfiler() - Method in class org.tensorflow.distruntime.TraceOpts

If true, capture GPU profiling events locally on each machine.

getUseGpuProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder

If true, capture GPU profiling events locally on each machine.

getUseKernelProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture kernel events from each worker.

getUseKernelProfiler() - Method in class org.tensorflow.distruntime.TraceOpts

If true, capture kernel events from each worker.

getUseKernelProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder

If true, capture kernel events from each worker.

getUsePerSessionThreads() - Method in class org.tensorflow.framework.ConfigProto.Builder

If true, use a new set of threads for this session rather than the global pool of threads.

getUsePerSessionThreads() - Method in class org.tensorflow.framework.ConfigProto

If true, use a new set of threads for this session rather than the global pool of threads.

getUsePerSessionThreads() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

If true, use a new set of threads for this session rather than the global pool of threads.

getUseRpcForInprocessMaster() - Method in class org.tensorflow.framework.RPCOptions.Builder

If true, always use RPC to contact the session target.

getUseRpcForInprocessMaster() - Method in class org.tensorflow.framework.RPCOptions

If true, always use RPC to contact the session target.

getUseRpcForInprocessMaster() - Method in interface org.tensorflow.framework.RPCOptionsOrBuilder

If true, always use RPC to contact the session target.

getUseSampleProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, collect sampled profile events.

getUseSampleProfiler() - Method in class org.tensorflow.distruntime.TraceOpts

If true, collect sampled profile events.

getUseSampleProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder

If true, collect sampled profile events.

getUseStepProfiler() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture step profile locally in each worker.

getUseStepProfiler() - Method in class org.tensorflow.distruntime.TraceOpts

If true, capture step profile locally in each worker.

getUseStepProfiler() - Method in interface org.tensorflow.distruntime.TraceOptsOrBuilder

If true, capture step profile locally in each worker.

getUseUnifiedMemory() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

If true, uses CUDA unified memory for memory allocations.

getUseUnifiedMemory() - Method in class org.tensorflow.framework.GPUOptions.Experimental

If true, uses CUDA unified memory for memory allocations.

getUseUnifiedMemory() - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder

If true, uses CUDA unified memory for memory allocations.

getUUID() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

Returns globally unique ID

getUUID() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

Returns globally unique ID

getValue() - Method in class onnx.Onnx.StringStringEntryProto.Builder

string value = 2;

getValue() - Method in class onnx.Onnx.StringStringEntryProto

string value = 2;

getValue() - Method in interface onnx.Onnx.StringStringEntryProtoOrBuilder

string value = 2;

getValue() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string value = 2;

getValue() - Method in class onnx.OnnxMl.StringStringEntryProto

string value = 2;

getValue() - Method in interface onnx.OnnxMl.StringStringEntryProtoOrBuilder

string value = 2;

getValue() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string value = 2;

getValue() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

string value = 2;

getValue() - Method in interface org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder

string value = 2;

getValue() - Method in class org.nd4j.linalg.indexing.conditions.And

getValue() - Method in class org.nd4j.linalg.indexing.conditions.BaseCondition

getValue() - Method in interface org.nd4j.linalg.indexing.conditions.Condition

getValue() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals

getValue() - Method in class org.nd4j.linalg.indexing.conditions.Not

getValue() - Method in class org.nd4j.linalg.indexing.conditions.Or

getValue(boolean[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BoolTensorMapper

getValue(boolean[], ByteBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BoolTensorMapper

getValue(double[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float64TensorMapper

getValue(double[], DoubleBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float64TensorMapper

getValue(float[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BFloat16TensorMapper

getValue(float[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float16TensorMapper

getValue(float[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float32TensorMapper

getValue(float[], Buffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float16TensorMapper

getValue(float[], FloatBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float32TensorMapper

getValue(float[], ShortBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BFloat16TensorMapper

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList

repeated .google.protobuf.Any value = 1;

getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder

repeated .google.protobuf.Any value = 1;

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

repeated bytes value = 1;

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.BytesList

repeated bytes value = 1;

getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.BytesListOrBuilder

repeated bytes value = 1;

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

repeated float value = 1 [packed = true];

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.FloatList

repeated float value = 1 [packed = true];

getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.FloatListOrBuilder

repeated float value = 1 [packed = true];

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

repeated int64 value = 1 [packed = true];

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.Int64List

repeated int64 value = 1 [packed = true];

getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.Int64ListOrBuilder

repeated int64 value = 1 [packed = true];

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

repeated string value = 1;

getValue(int) - Method in class org.tensorflow.framework.CollectionDef.NodeList

repeated string value = 1;

getValue(int) - Method in interface org.tensorflow.framework.CollectionDef.NodeListOrBuilder

repeated string value = 1;

getValue(int) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

getValue(int) - Method in class org.tensorflow.framework.Summary

Set of values for the summary.

getValue(int) - Method in interface org.tensorflow.framework.SummaryOrBuilder

Set of values for the summary.

getValue(int[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int16TensorMapper

getValue(int[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int32TensorMapper

getValue(int[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int8TensorMapper

getValue(int[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt16TensorMapper

getValue(int[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt8TensorMapper

getValue(int[], ByteBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int8TensorMapper

getValue(int[], ByteBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt8TensorMapper

getValue(int[], IntBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int32TensorMapper

getValue(int[], ShortBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int16TensorMapper

getValue(int[], ShortBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt16TensorMapper

getValue(long[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int64TensorMapper

getValue(long[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt32TensorMapper

getValue(long[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt64TensorMapper

getValue(long[], IntBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt32TensorMapper

getValue(long[], LongBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int64TensorMapper

getValue(long[], LongBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt64TensorMapper

getValue(Field) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Get the value for a given property for this function

getValue(Field) - Method in class org.nd4j.linalg.api.blas.params.MMulTranspose

getValue(Field) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig

Get the value for a given property for this function

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

getValue(String[], int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.StringTensorMapper

getValue(String[], ByteBuffer, int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.StringTensorMapper

getValue(String, int, IMetric) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the metric's value for the evaluation for a given param/variable at the given index

getValue(String, IMetric) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the metric's value for the evaluation of the metric's type, for a given param/variable

getValue(J, int) - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

getValue(J, B, int) - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

getValue(SDVariable, int, IMetric) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the metric's value for the evaluation for a given param/variable at the given index

getValue(SDVariable, IMetric) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the metric's value for the evaluation of the metric's type, for a given param/variable

getValue(IMetric) - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

Get the metric's value for the evaluation of the metric's type

getValue(IMetric) - Method in class org.nd4j.evaluation.classification.Evaluation

getValue(IMetric) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

getValue(IMetric) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

getValue(IMetric) - Method in class org.nd4j.evaluation.classification.ROC

getValue(IMetric) - Method in class org.nd4j.evaluation.classification.ROCBinary

getValue(IMetric) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

getValue(IMetric) - Method in class org.nd4j.evaluation.custom.CustomEvaluation

getValue(IMetric) - Method in interface org.nd4j.evaluation.IEvaluation

Get the value of a given metric for this evaluation.

getValue(IMetric) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

getValueBuilder(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

getValueBuilder(int) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

getValueBuilderList() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

getValueBuilderList() - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

getValueBytes() - Method in class onnx.Onnx.StringStringEntryProto.Builder

string value = 2;

getValueBytes() - Method in class onnx.Onnx.StringStringEntryProto

string value = 2;

getValueBytes() - Method in interface onnx.Onnx.StringStringEntryProtoOrBuilder

string value = 2;

getValueBytes() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string value = 2;

getValueBytes() - Method in class onnx.OnnxMl.StringStringEntryProto

string value = 2;

getValueBytes() - Method in interface onnx.OnnxMl.StringStringEntryProtoOrBuilder

string value = 2;

getValueBytes() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string value = 2;

getValueBytes() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

string value = 2;

getValueBytes() - Method in interface org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder

string value = 2;

getValueBytes(int) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

repeated string value = 1;

getValueBytes(int) - Method in class org.tensorflow.framework.CollectionDef.NodeList

repeated string value = 1;

getValueBytes(int) - Method in interface org.tensorflow.framework.CollectionDef.NodeListOrBuilder

repeated string value = 1;

getValueCase() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

getValueCase() - Method in class onnx.Onnx.TensorShapeProto.Dimension

getValueCase() - Method in interface onnx.Onnx.TensorShapeProto.DimensionOrBuilder

getValueCase() - Method in class onnx.Onnx.TypeProto.Builder

getValueCase() - Method in class onnx.Onnx.TypeProto

getValueCase() - Method in interface onnx.Onnx.TypeProtoOrBuilder

getValueCase() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

getValueCase() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

getValueCase() - Method in interface onnx.OnnxMl.TensorShapeProto.DimensionOrBuilder

getValueCase() - Method in class onnx.OnnxMl.TypeProto.Builder

getValueCase() - Method in class onnx.OnnxMl.TypeProto

getValueCase() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

getValueCase() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

getValueCase() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

getValueCase() - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder

getValueCase() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

getValueCase() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

getValueCase() - Method in interface org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder

getValueCase() - Method in class org.tensorflow.framework.AttrValue.Builder

getValueCase() - Method in class org.tensorflow.framework.AttrValue

getValueCase() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

getValueCase() - Method in class org.tensorflow.framework.Summary.Value.Builder

getValueCase() - Method in class org.tensorflow.framework.Summary.Value

getValueCase() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.AnyList

repeated .google.protobuf.Any value = 1;

getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder

repeated .google.protobuf.Any value = 1;

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

repeated bytes value = 1;

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.BytesList

repeated bytes value = 1;

getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.BytesListOrBuilder

repeated bytes value = 1;

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

repeated float value = 1 [packed = true];

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.FloatList

repeated float value = 1 [packed = true];

getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.FloatListOrBuilder

repeated float value = 1 [packed = true];

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

repeated int64 value = 1 [packed = true];

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.Int64List

repeated int64 value = 1 [packed = true];

getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.Int64ListOrBuilder

repeated int64 value = 1 [packed = true];

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

repeated string value = 1;

getValueCount() - Method in class org.tensorflow.framework.CollectionDef.NodeList

repeated string value = 1;

getValueCount() - Method in interface org.tensorflow.framework.CollectionDef.NodeListOrBuilder

repeated string value = 1;

getValueCount() - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

getValueCount() - Method in class org.tensorflow.framework.Summary

Set of values for the summary.

getValueCount() - Method in interface org.tensorflow.framework.SummaryOrBuilder

Set of values for the summary.

getValueDescriptor() - Method in enum onnx.Onnx.AttributeProto.AttributeType

getValueDescriptor() - Method in enum onnx.Onnx.OperatorStatus

getValueDescriptor() - Method in enum onnx.Onnx.TensorProto.DataLocation

getValueDescriptor() - Method in enum onnx.Onnx.TensorProto.DataType

getValueDescriptor() - Method in enum onnx.Onnx.Version

getValueDescriptor() - Method in enum onnx.OnnxMl.AttributeProto.AttributeType

getValueDescriptor() - Method in enum onnx.OnnxMl.OperatorStatus

getValueDescriptor() - Method in enum onnx.OnnxMl.TensorProto.DataLocation

getValueDescriptor() - Method in enum onnx.OnnxMl.TensorProto.DataType

getValueDescriptor() - Method in enum onnx.OnnxMl.Version

getValueDescriptor() - Method in enum org.nd4j.ir.MapperNamespace.OpListType

getValueDescriptor() - Method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

getValueDescriptor() - Method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

getValueDescriptor() - Method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

getValueDescriptor() - Method in enum org.nd4j.ir.TensorNamespace.DataType

getValueDescriptor() - Method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

getValueDescriptor() - Method in enum org.tensorflow.framework.ApiDef.Visibility

getValueDescriptor() - Method in enum org.tensorflow.framework.Code

getValueDescriptor() - Method in enum org.tensorflow.framework.DataType

getValueDescriptor() - Method in enum org.tensorflow.framework.GraphTransferInfo.Destination

getValueDescriptor() - Method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

getValueDescriptor() - Method in enum org.tensorflow.framework.OptimizerOptions.Level

getValueDescriptor() - Method in enum org.tensorflow.framework.RewriterConfig.MemOptType

getValueDescriptor() - Method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

getValueDescriptor() - Method in enum org.tensorflow.framework.RewriterConfig.Toggle

getValueDescriptor() - Method in enum org.tensorflow.framework.RunOptions.TraceLevel

getValueDescriptor() - Method in enum org.tensorflow.util.BundleHeaderProto.Endianness

getValueDescriptor() - Method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

getValueInfo(int) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

getValueInfo(int) - Method in class onnx.Onnx.GraphProto

Information for the values in the graph.

getValueInfo(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfo(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfo(int) - Method in class onnx.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfo(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

getValueInfoBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

getValueInfoBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoCount() - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

getValueInfoCount() - Method in class onnx.Onnx.GraphProto

Information for the values in the graph.

getValueInfoCount() - Method in interface onnx.Onnx.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoCount() - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoCount() - Method in class onnx.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfoCount() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoList() - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

getValueInfoList() - Method in class onnx.Onnx.GraphProto

Information for the values in the graph.

getValueInfoList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoList() - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoList() - Method in class onnx.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfoList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoOrBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

getValueInfoOrBuilder(int) - Method in class onnx.Onnx.GraphProto

Information for the values in the graph.

getValueInfoOrBuilder(int) - Method in interface onnx.Onnx.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoOrBuilder(int) - Method in class onnx.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfoOrBuilder(int) - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoOrBuilderList() - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

getValueInfoOrBuilderList() - Method in class onnx.Onnx.GraphProto

Information for the values in the graph.

getValueInfoOrBuilderList() - Method in interface onnx.Onnx.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoOrBuilderList() - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoOrBuilderList() - Method in class onnx.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfoOrBuilderList() - Method in interface onnx.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValueList() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

getValueList() - Method in class org.tensorflow.framework.CollectionDef.AnyList

repeated .google.protobuf.Any value = 1;

getValueList() - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder

repeated .google.protobuf.Any value = 1;

getValueList() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

repeated bytes value = 1;

getValueList() - Method in class org.tensorflow.framework.CollectionDef.BytesList

repeated bytes value = 1;

getValueList() - Method in interface org.tensorflow.framework.CollectionDef.BytesListOrBuilder

repeated bytes value = 1;

getValueList() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

repeated float value = 1 [packed = true];

getValueList() - Method in class org.tensorflow.framework.CollectionDef.FloatList

repeated float value = 1 [packed = true];

getValueList() - Method in interface org.tensorflow.framework.CollectionDef.FloatListOrBuilder

repeated float value = 1 [packed = true];

getValueList() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

repeated int64 value = 1 [packed = true];

getValueList() - Method in class org.tensorflow.framework.CollectionDef.Int64List

repeated int64 value = 1 [packed = true];

getValueList() - Method in interface org.tensorflow.framework.CollectionDef.Int64ListOrBuilder

repeated int64 value = 1 [packed = true];

getValueList() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

repeated string value = 1;

getValueList() - Method in class org.tensorflow.framework.CollectionDef.NodeList

repeated string value = 1;

getValueList() - Method in interface org.tensorflow.framework.CollectionDef.NodeListOrBuilder

repeated string value = 1;

getValueList() - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

getValueList() - Method in class org.tensorflow.framework.Summary

Set of values for the summary.

getValueList() - Method in interface org.tensorflow.framework.SummaryOrBuilder

Set of values for the summary.

getValueOrBuilder(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

getValueOrBuilder(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList

repeated .google.protobuf.Any value = 1;

getValueOrBuilder(int) - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder

repeated .google.protobuf.Any value = 1;

getValueOrBuilder(int) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

getValueOrBuilder(int) - Method in class org.tensorflow.framework.Summary

Set of values for the summary.

getValueOrBuilder(int) - Method in interface org.tensorflow.framework.SummaryOrBuilder

Set of values for the summary.

getValueOrBuilderList() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

getValueOrBuilderList() - Method in class org.tensorflow.framework.CollectionDef.AnyList

repeated .google.protobuf.Any value = 1;

getValueOrBuilderList() - Method in interface org.tensorflow.framework.CollectionDef.AnyListOrBuilder

repeated .google.protobuf.Any value = 1;

getValueOrBuilderList() - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

getValueOrBuilderList() - Method in class org.tensorflow.framework.Summary

Set of values for the summary.

getValueOrBuilderList() - Method in interface org.tensorflow.framework.SummaryOrBuilder

Set of values for the summary.

getValues() - Method in class onnx.Onnx.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValues() - Method in class onnx.Onnx.SparseTensorProto

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValues() - Method in interface onnx.Onnx.SparseTensorProtoOrBuilder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValues() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValues() - Method in class onnx.OnnxMl.SparseTensorProto

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValues() - Method in interface onnx.OnnxMl.SparseTensorProtoOrBuilder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValues(int) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names that have been seen in this context.

getValues(int) - Method in class org.tensorflow.framework.ValuesDef

Value names that have been seen in this context.

getValues(int) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Value names that have been seen in this context.

getValuesBuilder() - Method in class onnx.Onnx.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesBuilder() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesBytes(int) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names that have been seen in this context.

getValuesBytes(int) - Method in class org.tensorflow.framework.ValuesDef

Value names that have been seen in this context.

getValuesBytes(int) - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Value names that have been seen in this context.

getValuesCount() - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names that have been seen in this context.

getValuesCount() - Method in class org.tensorflow.framework.ValuesDef

Value names that have been seen in this context.

getValuesCount() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Value names that have been seen in this context.

getValuesDef() - Method in class org.tensorflow.framework.CondContextDef.Builder

Values and external values in control flow context.

getValuesDef() - Method in class org.tensorflow.framework.CondContextDef

Values and external values in control flow context.

getValuesDef() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Values and external values in control flow context.

getValuesDef() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Values and external values in control flow context.

getValuesDef() - Method in class org.tensorflow.framework.WhileContextDef

Values and external values in control flow context.

getValuesDef() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Values and external values in control flow context.

getValuesDefBuilder() - Method in class org.tensorflow.framework.CondContextDef.Builder

Values and external values in control flow context.

getValuesDefBuilder() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Values and external values in control flow context.

getValuesDefOrBuilder() - Method in class org.tensorflow.framework.CondContextDef.Builder

Values and external values in control flow context.

getValuesDefOrBuilder() - Method in class org.tensorflow.framework.CondContextDef

Values and external values in control flow context.

getValuesDefOrBuilder() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Values and external values in control flow context.

getValuesDefOrBuilder() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Values and external values in control flow context.

getValuesDefOrBuilder() - Method in class org.tensorflow.framework.WhileContextDef

Values and external values in control flow context.

getValuesDefOrBuilder() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Values and external values in control flow context.

getValuesList() - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names that have been seen in this context.

getValuesList() - Method in class org.tensorflow.framework.ValuesDef

Value names that have been seen in this context.

getValuesList() - Method in interface org.tensorflow.framework.ValuesDefOrBuilder

Value names that have been seen in this context.

getValuesOrBuilder() - Method in class onnx.Onnx.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesOrBuilder() - Method in class onnx.Onnx.SparseTensorProto

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesOrBuilder() - Method in interface onnx.Onnx.SparseTensorProtoOrBuilder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesOrBuilder() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesOrBuilder() - Method in class onnx.OnnxMl.SparseTensorProto

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesOrBuilder() - Method in interface onnx.OnnxMl.SparseTensorProtoOrBuilder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The shape of the values Tensor is [?].

getValuesTensorName() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

The shape of the values Tensor is [?].

getValuesTensorName() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder

The shape of the values Tensor is [?].

getValuesTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The shape of the values Tensor is [?].

getValuesTensorNameBytes() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

The shape of the values Tensor is [?].

getValuesTensorNameBytes() - Method in interface org.tensorflow.framework.TensorInfo.CooSparseOrBuilder

The shape of the values Tensor is [?].

getValueType() - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

getValueType() - Method in class onnx.Onnx.TypeProto.Map

This field MUST be present for this version of the IR.

getValueType() - Method in interface onnx.Onnx.TypeProto.MapOrBuilder

This field MUST be present for this version of the IR.

getValueType() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

getValueType() - Method in class onnx.OnnxMl.TypeProto.Map

This field MUST be present for this version of the IR.

getValueType() - Method in interface onnx.OnnxMl.TypeProto.MapOrBuilder

This field MUST be present for this version of the IR.

getValueTypeBuilder() - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

getValueTypeBuilder() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

getValueTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

getValueTypeOrBuilder() - Method in class onnx.Onnx.TypeProto.Map

This field MUST be present for this version of the IR.

getValueTypeOrBuilder() - Method in interface onnx.Onnx.TypeProto.MapOrBuilder

This field MUST be present for this version of the IR.

getValueTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

getValueTypeOrBuilder() - Method in class onnx.OnnxMl.TypeProto.Map

This field MUST be present for this version of the IR.

getValueTypeOrBuilder() - Method in interface onnx.OnnxMl.TypeProto.MapOrBuilder

This field MUST be present for this version of the IR.

getVar() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

getVarControlDeps() - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

getVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get the variable based on the opName

getVariableName() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the variable tensor.

getVariableName() - Method in class org.tensorflow.framework.VariableDef

Name of the variable tensor.

getVariableName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Name of the variable tensor.

getVariableNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the variable tensor.

getVariableNameBytes() - Method in class org.tensorflow.framework.VariableDef

Name of the variable tensor.

getVariableNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Name of the variable tensor.

getVariableOutputOp(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get the differential function (if any) that this variable is the output for

getVariableResolutionType() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

.org.nd4j.ir.VariableResolutionType variableResolutionType = 6;

getVariableResolutionType() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

.org.nd4j.ir.VariableResolutionType variableResolutionType = 6;

getVariableResolutionType() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

.org.nd4j.ir.VariableResolutionType variableResolutionType = 6;

getVariableResolutionTypeValue() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

.org.nd4j.ir.VariableResolutionType variableResolutionType = 6;

getVariableResolutionTypeValue() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

.org.nd4j.ir.VariableResolutionType variableResolutionType = 6;

getVariableResolutionTypeValue() - Method in interface org.nd4j.ir.MapperNamespace.MapperDeclarationOrBuilder

.org.nd4j.ir.VariableResolutionType variableResolutionType = 6;

getVariablesInScope(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.getVariablesInScope(NameScope).

getVariablesInScope(NameScope) - Method in class org.nd4j.autodiff.samediff.SameDiff

Gets all variables in a given name scope.

getVariantVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

getVariantVal(int) - Method in class org.tensorflow.framework.TensorProto

DT_VARIANT

getVariantVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_VARIANT

getVariantValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

getVariantValBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

getVariantValCount() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

getVariantValCount() - Method in class org.tensorflow.framework.TensorProto

DT_VARIANT

getVariantValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_VARIANT

getVariantValList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

getVariantValList() - Method in class org.tensorflow.framework.TensorProto

DT_VARIANT

getVariantValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_VARIANT

getVariantValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

getVariantValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto

DT_VARIANT

getVariantValOrBuilder(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_VARIANT

getVariantValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

getVariantValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto

DT_VARIANT

getVariantValOrBuilderList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

DT_VARIANT

getVarName() - Method in class org.nd4j.autodiff.samediff.SDVariable

Deprecated.

Use SDVariable.name()

getVarOffset(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Offset of this variable into the full variable.

getVarOffset(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef

Offset of this variable into the full variable.

getVarOffset(int) - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Offset of this variable into the full variable.

getVarOffsetCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Offset of this variable into the full variable.

getVarOffsetCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef

Offset of this variable into the full variable.

getVarOffsetCount() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Offset of this variable into the full variable.

getVarOffsetList() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Offset of this variable into the full variable.

getVarOffsetList() - Method in class org.tensorflow.framework.SaveSliceInfoDef

Offset of this variable into the full variable.

getVarOffsetList() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Offset of this variable into the full variable.

getVarShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of this variable.

getVarShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef

Shape of this variable.

getVarShape(int) - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Shape of this variable.

getVarShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of this variable.

getVarShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef

Shape of this variable.

getVarShapeCount() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Shape of this variable.

getVarShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of this variable.

getVarShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef

Shape of this variable.

getVarShapeList() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder

Shape of this variable.

getVendor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Vendor (Intel, nvidia, ...)

getVendor() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Vendor (Intel, nvidia, ...)

getVendor() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Vendor (Intel, nvidia, ...)

getVendorBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Vendor (Intel, nvidia, ...)

getVendorBytes() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

Vendor (Intel, nvidia, ...)

getVendorBytes() - Method in interface tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder

Vendor (Intel, nvidia, ...)

getVersion() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

The version of the operator set being identified.

getVersion() - Method in class onnx.Onnx.OperatorSetIdProto

The version of the operator set being identified.

getVersion() - Method in interface onnx.Onnx.OperatorSetIdProtoOrBuilder

The version of the operator set being identified.

getVersion() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

The version of the operator set being identified.

getVersion() - Method in class onnx.OnnxMl.OperatorSetIdProto

The version of the operator set being identified.

getVersion() - Method in interface onnx.OnnxMl.OperatorSetIdProtoOrBuilder

The version of the operator set being identified.

getVersion() - Method in class org.tensorflow.framework.GraphDef.Builder

Deprecated.

tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=24

getVersion() - Method in class org.tensorflow.framework.GraphDef

Deprecated.

tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=24

getVersion() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

Deprecated.

tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=24

getVersion() - Method in class org.tensorflow.framework.OpDeprecation.Builder

First GraphDef version at which the op is disallowed.

getVersion() - Method in class org.tensorflow.framework.OpDeprecation

First GraphDef version at which the op is disallowed.

getVersion() - Method in interface org.tensorflow.framework.OpDeprecationOrBuilder

First GraphDef version at which the op is disallowed.

getVersion() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Versioning of the tensor bundle format.

getVersion() - Method in class org.tensorflow.util.BundleHeaderProto

Versioning of the tensor bundle format.

getVersion() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder

Versioning of the tensor bundle format.

getVersion() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

A user-specified version string.

getVersion() - Method in class org.tensorflow.util.IteratorStateMetadata

A user-specified version string.

getVersion() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder

A user-specified version string.

getVersion() - Method in class org.tensorflow.util.SaverDef.Builder

.tensorflow.SaverDef.CheckpointFormatVersion version = 7;

getVersion() - Method in class org.tensorflow.util.SaverDef

.tensorflow.SaverDef.CheckpointFormatVersion version = 7;

getVersion() - Method in interface org.tensorflow.util.SaverDefOrBuilder

.tensorflow.SaverDef.CheckpointFormatVersion version = 7;

getVersionBuilder() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Versioning of the tensor bundle format.

getVersionBytes() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

A user-specified version string.

getVersionBytes() - Method in class org.tensorflow.util.IteratorStateMetadata

A user-specified version string.

getVersionBytes() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder

A user-specified version string.

getVersionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

This is the version for all the ops that will be enqueued by the client.

getVersionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

This is the version for all the ops that will be enqueued by the client.

getVersionDef() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder

This is the version for all the ops that will be enqueued by the client.

getVersionDefBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

This is the version for all the ops that will be enqueued by the client.

getVersionDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

This is the version for all the ops that will be enqueued by the client.

getVersionDefOrBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

This is the version for all the ops that will be enqueued by the client.

getVersionDefOrBuilder() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder

This is the version for all the ops that will be enqueued by the client.

getVersionInfos() - Static method in class org.nd4j.versioncheck.VersionCheck

getVersionNumber() - Method in class org.tensorflow.framework.TensorProto.Builder

Version number.

getVersionNumber() - Method in class org.tensorflow.framework.TensorProto

Version number.

getVersionNumber() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

Version number.

getVersionOrBuilder() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Versioning of the tensor bundle format.

getVersionOrBuilder() - Method in class org.tensorflow.util.BundleHeaderProto

Versioning of the tensor bundle format.

getVersionOrBuilder() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder

Versioning of the tensor bundle format.

getVersions() - Method in class org.tensorflow.framework.GraphDef.Builder

Compatibility versions of the graph.

getVersions() - Method in class org.tensorflow.framework.GraphDef

Compatibility versions of the graph.

getVersions() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

Compatibility versions of the graph.

getVersionsBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder

Compatibility versions of the graph.

getVersionsOrBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder

Compatibility versions of the graph.

getVersionsOrBuilder() - Method in class org.tensorflow.framework.GraphDef

Compatibility versions of the graph.

getVersionsOrBuilder() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

Compatibility versions of the graph.

getVersionValue() - Method in class org.tensorflow.util.SaverDef.Builder

.tensorflow.SaverDef.CheckpointFormatVersion version = 7;

getVersionValue() - Method in class org.tensorflow.util.SaverDef

.tensorflow.SaverDef.CheckpointFormatVersion version = 7;

getVersionValue() - Method in interface org.tensorflow.util.SaverDefOrBuilder

.tensorflow.SaverDef.CheckpointFormatVersion version = 7;

getView(SDIndex...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Get a variable with content equal to a specified sub-array of this variable.
Can be used (for example) to get rows, columns, sub-matrices, etc.

getVirtualDevices(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

getVirtualDevices(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental

The multi virtual device settings.

getVirtualDevices(int) - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder

The multi virtual device settings.

getVirtualDevicesBuilder(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

getVirtualDevicesBuilderList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

getVirtualDevicesCount() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

getVirtualDevicesCount() - Method in class org.tensorflow.framework.GPUOptions.Experimental

The multi virtual device settings.

getVirtualDevicesCount() - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder

The multi virtual device settings.

getVirtualDevicesList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

getVirtualDevicesList() - Method in class org.tensorflow.framework.GPUOptions.Experimental

The multi virtual device settings.

getVirtualDevicesList() - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder

The multi virtual device settings.

getVirtualDevicesOrBuilder(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

getVirtualDevicesOrBuilder(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental

The multi virtual device settings.

getVirtualDevicesOrBuilder(int) - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder

The multi virtual device settings.

getVirtualDevicesOrBuilderList() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

getVirtualDevicesOrBuilderList() - Method in class org.tensorflow.framework.GPUOptions.Experimental

The multi virtual device settings.

getVirtualDevicesOrBuilderList() - Method in interface org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder

The multi virtual device settings.

getVisibility() - Method in class org.tensorflow.framework.ApiDef.Builder

.tensorflow.ApiDef.Visibility visibility = 2;

getVisibility() - Method in class org.tensorflow.framework.ApiDef

.tensorflow.ApiDef.Visibility visibility = 2;

getVisibility() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

.tensorflow.ApiDef.Visibility visibility = 2;

getVisibilityValue() - Method in class org.tensorflow.framework.ApiDef.Builder

.tensorflow.ApiDef.Visibility visibility = 2;

getVisibilityValue() - Method in class org.tensorflow.framework.ApiDef

.tensorflow.ApiDef.Visibility visibility = 2;

getVisibilityValue() - Method in interface org.tensorflow.framework.ApiDefOrBuilder

.tensorflow.ApiDef.Visibility visibility = 2;

getVisibleDeviceList() - Method in class org.tensorflow.framework.GPUOptions.Builder

A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

getVisibleDeviceList() - Method in class org.tensorflow.framework.GPUOptions

A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

getVisibleDeviceList() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

getVisibleDeviceListBytes() - Method in class org.tensorflow.framework.GPUOptions.Builder

A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

getVisibleDeviceListBytes() - Method in class org.tensorflow.framework.GPUOptions

A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

getVisibleDeviceListBytes() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

getWeights(SameDiff, SDVariable, SDVariable) - Static method in class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

getWeights(INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

getWhere(Number, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getWhere(Number, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Boolean indexing: Return the element if it fulfills the condition in result array

getWhere(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getWhere(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Boolean indexing: Return the element if it fulfills the condition in result array

getWhileCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.WhileContextDef while_ctxt = 2;

getWhileCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef

.tensorflow.WhileContextDef while_ctxt = 2;

getWhileCtxt() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder

.tensorflow.WhileContextDef while_ctxt = 2;

getWhileCtxtBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.WhileContextDef while_ctxt = 2;

getWhileCtxtOrBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.WhileContextDef while_ctxt = 2;

getWhileCtxtOrBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef

.tensorflow.WhileContextDef while_ctxt = 2;

getWhileCtxtOrBuilder() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder

.tensorflow.WhileContextDef while_ctxt = 2;

getWidth() - Method in class org.tensorflow.framework.Summary.Image.Builder

int32 width = 2;

getWidth() - Method in class org.tensorflow.framework.Summary.Image

int32 width = 2;

getWidth() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder

int32 width = 2;

getWorkFinished() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

int64 work_finished = 2;

getWorkFinished() - Method in class org.tensorflow.framework.ReaderBaseState

int64 work_finished = 2;

getWorkFinished() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder

int64 work_finished = 2;

getWorkspaceConfiguration() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method returns WorkspaceConfiguration bean that was used for given Workspace instance

getWorkspaceConfiguration() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns WorkspaceConfiguration bean that was used for given Workspace instance

getWorkspaceForCurrentThread() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method returns you current default Workspace for current Thread PLEASE NOTE: If Workspace wasn't defined, new Workspace will be created using current default configuration

getWorkspaceForCurrentThread() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method will return workspace with default configuration and default id.

getWorkspaceForCurrentThread(String) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

getWorkspaceForCurrentThread(String) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method returns you Workspace for a given Id for current Thread PLEASE NOTE: If Workspace wasn't defined, new Workspace will be created using current default configuration

getWorkspaceForCurrentThread(WorkspaceConfiguration, String) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method returns you Workspace for a given Id for current Thread PLEASE NOTE: If Workspace wasn't defined, new Workspace will be created using given configuration

getWorkspaceManager() - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns WorkspaceManager implementation to be used within this JVM process

getWorkspaceName(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

getWorkspaceName(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

getWorkspaceType() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

getWorkspaceType() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

getWorkspaceType() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns Type of this workspace

getWorkStarted() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

int64 work_started = 1;

getWorkStarted() - Method in class org.tensorflow.framework.ReaderBaseState

int64 work_started = 1;

getWorkStarted() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder

int64 work_started = 1;

getX() - Method in class org.nd4j.evaluation.curves.BaseCurve

getX() - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

getX() - Method in class org.nd4j.evaluation.curves.ReliabilityDiagram

getX() - Method in class org.nd4j.evaluation.curves.RocCurve

getX(Op, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

getY() - Method in class org.nd4j.evaluation.curves.BaseCurve

getY() - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

getY() - Method in class org.nd4j.evaluation.curves.ReliabilityDiagram

getY() - Method in class org.nd4j.evaluation.curves.RocCurve

getY(Op, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

getYamlMapper() - Static method in class org.nd4j.serde.json.JsonMappers

getZ(Op, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

GIT_PROPERTY_FILE_SUFFIX - Static variable in class org.nd4j.versioncheck.VersionCheck

GLOBAL_JIT_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OptimizerOptions

GLOBAL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ThreadPoolOptionProto

GLOBAL_STEP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebugOptions

gMeasure(double, double) - Static method in class org.nd4j.evaluation.EvaluationUtils

Calculate the G-measure from precision and recall

gMeasure(int) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the G-measure for the given output

gMeasure(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Calculate the macro average G-measure for the given output

gMeasure(EvaluationAveraging) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculates the average G measure for all outputs using micro or macro averaging

GMEASURE - org.nd4j.evaluation.classification.Evaluation.Metric

GMEASURE - org.nd4j.evaluation.classification.EvaluationBinary.Metric

goingToCompress(DataTypeEx, DataTypeEx) - Static method in class org.nd4j.linalg.compression.CompressionUtils

goingToDecompress(DataTypeEx, DataTypeEx) - Static method in class org.nd4j.linalg.compression.CompressionUtils

GPU_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

GPUInfo - Class in org.nd4j.systeminfo

GPUInfo() - Constructor for class org.nd4j.systeminfo.GPUInfo

GPUInfoProvider - Interface in org.nd4j.systeminfo

gpuMemory(int) - Method in class org.nd4j.graph.UIHardwareState

gpuMemoryAsByteBuffer() - Method in class org.nd4j.graph.UIHardwareState

gpuMemoryInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIHardwareState

gpuMemoryLength() - Method in class org.nd4j.graph.UIHardwareState

gpuMemoryVector() - Method in class org.nd4j.graph.UIHardwareState

gpuMemoryVector(LongVector) - Method in class org.nd4j.graph.UIHardwareState

GPUOptions - Class in org.tensorflow.framework

Protobuf type tensorflow.GPUOptions

GPUOptions.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GPUOptions

GPUOptions.Experimental - Class in org.tensorflow.framework

Protobuf type tensorflow.GPUOptions.Experimental

GPUOptions.Experimental.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GPUOptions.Experimental

GPUOptions.Experimental.VirtualDevices - Class in org.tensorflow.framework

Configuration for breaking down a visible GPU into multiple "virtual" devices.

GPUOptions.Experimental.VirtualDevices.Builder - Class in org.tensorflow.framework

Configuration for breaking down a visible GPU into multiple "virtual" devices.

GPUOptions.Experimental.VirtualDevicesOrBuilder - Interface in org.tensorflow.framework

GPUOptions.ExperimentalOrBuilder - Interface in org.tensorflow.framework

GPUOptionsOrBuilder - Interface in org.tensorflow.framework

grad(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get the gradient for the variable with the specified variable name.

grad(SameDiff, SDVariable, SDVariable, int[]) - Static method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

GRAD_FN_KEY - Static variable in class org.nd4j.autodiff.samediff.SameDiff

GRAD_STATE - Static variable in class org.nd4j.linalg.learning.AdaGradUpdater

gradCheckMask() - Method in class org.nd4j.autodiff.validation.TestCase

gradCheckSkipVariables() - Method in class org.nd4j.autodiff.validation.TestCase

gradCheckSkipVariables(String...) - Method in class org.nd4j.autodiff.validation.TestCase

Specify the input variables that should NOT be gradient checked.

GradCheckUtil - Class in org.nd4j.autodiff.validation

GradCheckUtil() - Constructor for class org.nd4j.autodiff.validation.GradCheckUtil

GradCheckUtil.ActGradConfig - Class in org.nd4j.autodiff.validation

GradCheckUtil.Subset - Enum in org.nd4j.autodiff.validation

gradient - Variable in class org.nd4j.autodiff.samediff.internal.Variable

gradient() - Method in class org.nd4j.autodiff.samediff.SDVariable

Alias for the gradient variable - same as SDVariable.getGradient().

GRADIENT - org.nd4j.linalg.api.ops.Op.Type

GRADIENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDefLibrary

GRADIENT_FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GradientDef

GradientBackwardsMarker - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

GradientBackwardsMarker() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

GradientBackwardsMarker(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

GradientDef - Class in org.tensorflow.framework

GradientDef defines the gradient function of a function defined in a function library.

GradientDef.Builder - Class in org.tensorflow.framework

GradientDef defines the gradient function of a function defined in a function library.

GradientDefOrBuilder - Interface in org.tensorflow.framework

GradientUpdater<T extends IUpdater> - Interface in org.nd4j.linalg.learning

gradientVariable() - Method in class org.nd4j.graph.UIVariable

gradientVariableAsByteBuffer() - Method in class org.nd4j.graph.UIVariable

gradientVariableInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIVariable

gradVarToVarMap - Variable in class org.nd4j.autodiff.samediff.internal.TrainingSession

GRAPH - onnx.Onnx.AttributeProto.AttributeType

GRAPH = 5;

GRAPH - onnx.OnnxMl.AttributeProto.AttributeType

GRAPH = 5;

GRAPH - Static variable in class org.nd4j.graph.OpClass

GRAPH - Static variable in class org.nd4j.graph.OpType

GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateSessionRequest

GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExtendSessionRequest

GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest

GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef

GRAPH_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

GRAPH_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

GRAPH_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.DeregisterGraphRequest

GRAPH_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphResponse

GRAPH_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

GRAPH_INPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo

GRAPH_INPUT_NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.GetStepSequenceRequest

GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.StepSequence

GRAPH_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

GRAPH_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest

GRAPH_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

GRAPH_OUTPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo

GRAPH_OUTPUT_NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

GRAPH_STRUCTURE - Static variable in class org.nd4j.graph.UIInfoType

GRAPH_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

GRAPH = 5;

GRAPH_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

GRAPH = 5;

GRAPH_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateSessionResponse

GraphDef - Class in org.tensorflow.framework

Represents the graph of operations

GraphDef.Builder - Class in org.tensorflow.framework

Represents the graph of operations

GraphDefOrBuilder - Interface in org.tensorflow.framework

GraphOptimizer - Class in org.nd4j.autodiff.samediff.optimize

GraphOptimizer() - Constructor for class org.nd4j.autodiff.samediff.optimize.GraphOptimizer

GraphOptions - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphOptions

GraphOptions.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphOptions

GraphOptionsOrBuilder - Interface in org.tensorflow.framework

GraphProtos - Class in org.tensorflow.framework

GRAPHS - onnx.Onnx.AttributeProto.AttributeType

GRAPHS = 10;

GRAPHS - onnx.OnnxMl.AttributeProto.AttributeType

GRAPHS = 10;

GRAPHS_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

GRAPHS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

GRAPHS_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

GRAPHS = 10;

GRAPHS_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

GRAPHS = 10;

GraphTransferConstNodeInfo - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferConstNodeInfo

GraphTransferConstNodeInfo.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferConstNodeInfo

GraphTransferConstNodeInfoOrBuilder - Interface in org.tensorflow.framework

GraphTransferGraphInputNodeInfo - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferGraphInputNodeInfo

GraphTransferGraphInputNodeInfo.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferGraphInputNodeInfo

GraphTransferGraphInputNodeInfoOrBuilder - Interface in org.tensorflow.framework

GraphTransferGraphOutputNodeInfo - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo

GraphTransferGraphOutputNodeInfo.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo

GraphTransferGraphOutputNodeInfoOrBuilder - Interface in org.tensorflow.framework

GraphTransferInfo - Class in org.tensorflow.framework

Protocol buffer representing a handle to a tensorflow resource.

GraphTransferInfo.Builder - Class in org.tensorflow.framework

Protocol buffer representing a handle to a tensorflow resource.

GraphTransferInfo.Destination - Enum in org.tensorflow.framework

Protobuf enum tensorflow.GraphTransferInfo.Destination

GraphTransferInfoOrBuilder - Interface in org.tensorflow.framework

GraphTransferInfoProto - Class in org.tensorflow.framework

GraphTransferNodeInfo - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferNodeInfo

GraphTransferNodeInfo.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferNodeInfo

GraphTransferNodeInfoOrBuilder - Interface in org.tensorflow.framework

GraphTransferNodeInput - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferNodeInput

GraphTransferNodeInput.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferNodeInput

GraphTransferNodeInputInfo - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferNodeInputInfo

GraphTransferNodeInputInfo.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferNodeInputInfo

GraphTransferNodeInputInfoOrBuilder - Interface in org.tensorflow.framework

GraphTransferNodeInputOrBuilder - Interface in org.tensorflow.framework

GraphTransferNodeOutputInfo - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferNodeOutputInfo

GraphTransferNodeOutputInfo.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.GraphTransferNodeOutputInfo

GraphTransferNodeOutputInfoOrBuilder - Interface in org.tensorflow.framework

GraphTransformUtil - Class in org.nd4j.autodiff.samediff.transform

GREATER_THAN - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

GREATER_THAN_OR_EQUAL - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

greaterThan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is greater than value Y PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

greaterThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is greater than value Y

GreaterThan - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

GreaterThan - Class in org.nd4j.linalg.indexing.conditions

GreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

GreaterThan() - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan

Special constructor for pairwise boolean operations.

GreaterThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan

GreaterThan(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

GreaterThan(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

GreaterThan(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

GreaterThan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

GreaterThan(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

greaterThanOrEqual() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is greater than or equal to value Y PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

greaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is greater than or equal to value Y

greaterThanOrEqual(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

1 if greater than or equal to 0 otherwise (at each element)

greaterThanOrEqual(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Eps function

GreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

GreaterThanOrEqual - Class in org.nd4j.linalg.indexing.conditions

GreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

GreaterThanOrEqual() - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual

Special constructor for pairwise boolean operations.

GreaterThanOrEqual(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual

GreaterThanOrEqual(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

GreaterThanOrEqual(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

GreaterThanOrEqual(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

GreaterThanOrEqual(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

GreaterThanOrEqual(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

grid - Variable in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

GRID - org.nd4j.linalg.api.ops.Op.Type

GridDescriptor - Class in org.nd4j.linalg.api.ops.grid

GridDescriptor() - Constructor for class org.nd4j.linalg.api.ops.grid.GridDescriptor

GridExecutioner - Interface in org.nd4j.linalg.api.ops.executioner

GridOp - Interface in org.nd4j.linalg.api.ops

GridPointers - Class in org.nd4j.linalg.api.ops.grid

GridPointers(Op, int...) - Constructor for class org.nd4j.linalg.api.ops.grid.GridPointers

GROUP_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupRequest

GROUP_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupResponse

GROUP_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

GROUP_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupRequest

GROUP_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupResponse

GROUP_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

gru(String, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The GRU operation.

gru(SDVariable, SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The GRU operation.

gru(INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDRNN

The GRU operation.

GRU - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

GRU(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRU

GRU(INDArray, INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRU

GRUBp - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

GRUBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUBp

gruCell(String[], SDVariable, SDVariable, GRUWeights) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The GRU cell.

gruCell(SDVariable, SDVariable, GRUWeights) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The GRU cell.

gruCell(INDArray, INDArray, GRUWeights) - Method in class org.nd4j.linalg.factory.ops.NDRNN

The GRU cell.

GRUCell - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

GRUCell() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell

GRUCell(SameDiff, SDVariable, SDVariable, GRUWeights) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell

GRUCell(INDArray, INDArray, GRUWeights) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell

GRUCellConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config

GRUCellConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.GRUCellConfiguration

GRUCellOutputs - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs

GRUCellOutputs(SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.GRUCellOutputs

GRUWeights - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.weights

GRUWeights() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.GRUWeights

gt(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.gt(String, double)

gt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

gt(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Greater" comparison.

gt(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Greater than operation: elementwise this > value
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise

gt(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Greater than operation: elementwise this > y
If x and y arrays have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if x and y have different shapes and are broadcastable, the output shape is broadcast.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

gt(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Greater than operation: elementwise x > y
Return boolean array with values true where satisfied, or false otherwise.

gt(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Greater than operation: elementwise x > y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

gt(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.gt(String, SDVariable)

gt(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Greater than operation: elementwise x > y
Return boolean array with values true where satisfied, or false otherwise.

gt(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Greater than operation: elementwise x > y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

gt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

gt(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Greater Than" comparison.

gt(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Greater than operation: elementwise x > y
Return boolean array with values true where satisfied, or false otherwise.

gt(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Greater than operation: elementwise x > y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

gt(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast greater than op.

gte(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.gte(String, double)

gte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

gte(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns binary ndarray for "Greter or equals" comparison.

gte(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Greater than or equals operation: elementwise this >= value
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise

gte(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Greater than or equal to operation: elementwise this >= y
If x and y arrays have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if x and y have different shapes and are broadcastable, the output shape is broadcast.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

gte(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Greater than or equals operation: elementwise x >= y
Return boolean array with values true where satisfied, or false otherwise.

gte(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Greater than or equal to operation: elementwise x >= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

gte(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.gte(String, SDVariable)

gte(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Greater than or equals operation: elementwise x >= y
Return boolean array with values true where satisfied, or false otherwise.

gte(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Greater than or equal to operation: elementwise x >= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

gte(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Greater than or equals operation: elementwise x >= y
Return boolean array with values true where satisfied, or false otherwise.

gte(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Greater than or equal to operation: elementwise x >= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

gte(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast greater than or equal to op.

guid - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

GZIP - org.nd4j.linalg.compression.CompressionAlgorithm

H

HALF - org.nd4j.linalg.api.buffer.DataType

Deprecated.

Replaced by DataType.FLOAT16, use that instead

HALF - Static variable in class org.nd4j.graph.DType

HALF_PIXEL - org.nd4j.enums.CoordinateTransformationMode

HALF_PIXEL_NN - org.nd4j.enums.CoordinateTransformationMode

HALF_VAL_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

HALF_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

HALF2 - Static variable in class org.nd4j.graph.DType

halfBufferClass() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

halfPixelCenters - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

hammingDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

hammingDistance(String, SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Hamming distance reduction operation.

hammingDistance(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Hamming distance reduction operation.

hammingDistance(SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Hamming distance reduction operation.

hammingDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Hamming distance reduction operation.

hammingDistance(INDArray, INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Hamming distance reduction operation.

hammingDistance(INDArray, INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Hamming distance reduction operation.

HammingDistance - Class in org.nd4j.linalg.api.ops.impl.reduce3

HammingDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(SameDiff, SDVariable, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HammingDistance(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.MakeCallableResponse

HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ReleaseCallableRequest

HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunCallableRequest

HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogStep

HANDLE_TO_DECREF - tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase

HANDLE_TO_DECREF_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.QueueItem

handleParamsView(INDArray, INDArray) - Method in class org.nd4j.weightinit.BaseWeightInitScheme

HARD_SIGMOID - org.nd4j.enums.CellAct

HARD_SIGMOID - org.nd4j.enums.GateAct

HARD_SIGMOID - org.nd4j.enums.OutAct

HARD_SIGMOID - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

hardSigmoid(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise hard sigmoid function:
out[i] = 0 if in[i] <= -2.5
out[1] = 0.2*in[i]+0.5 if -2.5 < in[i] < 2.5
out[i] = 1 if in[i] >= 2.5

hardSigmoid(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise hard sigmoid function:
out[i] = 0 if in[i] <= -2.5
out[1] = 0.2*in[i]+0.5 if -2.5 < in[i] < 2.5
out[i] = 1 if in[i] >= 2.5

hardSigmoid(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise hard sigmoid function:
out[i] = 0 if in[i] <= -2.5
out[1] = 0.2*in[i]+0.5 if -2.5 < in[i] < 2.5
out[i] = 1 if in[i] >= 2.5

hardSigmoid(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

HardSigmoid - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

HardSigmoid(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid

HardSigmoid(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid

HardSigmoid(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid

HardSigmoid(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid

HARDSIGMOID - org.nd4j.linalg.activations.Activation

HardSigmoidBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

HardSigmoidBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidBp

HardSigmoidBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidBp

HardSigmoidBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidBp

HardSigmoidDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

Deprecated.

HardSigmoidDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative

Deprecated.

HardSigmoidDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative

Deprecated.

HardSigmoidDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative

Deprecated.

HardSigmoidDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative

Deprecated.

hardTanh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise hard tanh function:
out[i] = -1 if in[i] <= -1
out[1] = in[i] if -1 < in[i] < 1
out[i] = 1 if in[i] >= 1

hardTanh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise hard tanh function:
out[i] = -1 if in[i] <= -1
out[1] = in[i] if -1 < in[i] < 1
out[i] = 1 if in[i] >= 1

hardTanh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise hard tanh function:
out[i] = -1 if in[i] <= -1
out[1] = in[i] if -1 < in[i] < 1
out[i] = 1 if in[i] >= 1

hardTanh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

hardTanh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Hard tanh

HardTanh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

HardTanh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh

HardTanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh

HardTanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh

HardTanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh

HARDTANH - org.nd4j.linalg.activations.Activation

HardTanhBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

HardTanhBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhBp

HardTanhBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhBp

HardTanhBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhBp

hardTanhDerivative(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Derivative (dOut/dIn) of the element-wise hard Tanh function - hardTanh(INDArray)

hardTanhDerivative(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Derivative (dOut/dIn) of the element-wise hard Tanh function - hardTanh(INDArray)

hardTanhDerivative(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Derivative (dOut/dIn) of the element-wise hard Tanh function - hardTanh(INDArray)

hardTanhDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

hardTanhDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Hard tanh

HardTanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

Deprecated.

HardTanhDerivative(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative

Deprecated.

HardTanhDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative

Deprecated.

HardTanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative

Deprecated.

HardTanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative

Deprecated.

HARDWARE_STATE - Static variable in class org.nd4j.graph.UIEventType

HARDWARE_TRACE - org.tensorflow.framework.RunOptions.TraceLevel

HARDWARE_TRACE = 2;

HARDWARE_TRACE_VALUE - Static variable in enum org.tensorflow.framework.RunOptions.TraceLevel

HARDWARE_TRACE = 2;

HAS_CONTROL_FLOW_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest

HAS_MINIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef

HAS_PADDED_BUFFER - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

HAS_SINGLE_REFERENCE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription

hasAlgorithm() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field represents a training algorithm step.

hasAlgorithm() - Method in class onnx.Onnx.TrainingInfoProto

This field represents a training algorithm step.

hasAlgorithm() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field represents a training algorithm step.

hasAlgorithm() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

hasAlgorithm() - Method in class onnx.OnnxMl.TrainingInfoProto

This field represents a training algorithm step.

hasAlgorithm() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field represents a training algorithm step.

hasAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription.Builder

Information about the size and allocator used for the data

hasAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription

Information about the size and allocator used for the data

hasAllocationDescription() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder

Information about the size and allocator used for the data

hasAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

A list of values that this kernel supports for this attr.

hasAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

A list of values that this kernel supports for this attr.

hasAllowedValues() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder

A list of values that this kernel supports for this attr.

hasAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

The set of allowed values.

hasAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef

The set of allowed values.

hasAllowedValues() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

The set of allowed values.

hasAnyInfo() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A serialized protobuf.

hasAnyInfo() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

A serialized protobuf.

hasAnyInfo() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

A serialized protobuf.

hasAnyList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.AnyList any_list = 5;

hasAnyList() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.AnyList any_list = 5;

hasAnyList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.AnyList any_list = 5;

hasAnything() - Method in interface org.nd4j.linalg.dataset.api.iterator.BlockDataSetIterator

This method checks, if underlying iterator has at least 1 DataSet

hasAnything() - Method in interface org.nd4j.linalg.dataset.api.iterator.BlockMultiDataSetIterator

This method checks, if underlying iterator has at least 1 DataSet

hasArgs(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns true if this function already has defined arguments

hasArray(String) - Method in class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder

hasArray(String) - Method in class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder

hasArray(String) - Method in class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

hasArray(String) - Method in interface org.nd4j.autodiff.samediff.ArrayHolder

hasAudio() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Audio audio = 6;

hasAudio() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.Summary.Audio audio = 6;

hasAudio() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.Summary.Audio audio = 6;

hasAutoParallel() - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

hasAutoParallel() - Method in class org.tensorflow.framework.RewriterConfig

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

hasAutoParallel() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

hasB() - Method in class org.tensorflow.framework.AttrValue.Builder

"bool"

hasB() - Method in class org.tensorflow.framework.AttrValue

"bool"

hasB() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"bool"

hasBias() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights

hasBitSet(long[], long) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

hasBitSet(long, long) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

hasBytesList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

hasBytesList() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.BytesList bytes_list = 2;

hasBytesList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

hasClientLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on client-side device locality.

hasClientLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional information on client-side device locality.

hasClientLocality() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional information on client-side device locality.

hasClientLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on client-side device locality.

hasClientLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Optional information on client-side device locality.

hasClientLocality() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Optional information on client-side device locality.

hasCluster() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The cluster of which this server is a member.

hasCluster() - Method in class org.tensorflow.distruntime.ServerDef

The cluster of which this server is a member.

hasCluster() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The cluster of which this server is a member.

hasClusterDef() - Method in class org.tensorflow.framework.ConfigProto.Builder

Optional list of all workers to use in this session.

hasClusterDef() - Method in class org.tensorflow.framework.ConfigProto

Optional list of all workers to use in this session.

hasClusterDef() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Optional list of all workers to use in this session.

hasCondCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.CondContextDef cond_ctxt = 1;

hasCondCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef

.tensorflow.CondContextDef cond_ctxt = 1;

hasCondCtxt() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder

.tensorflow.CondContextDef cond_ctxt = 1;

hasConfig() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

Configuration options.

hasConfig() - Method in class org.tensorflow.distruntime.CreateSessionRequest

Configuration options.

hasConfig() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder

Configuration options.

hasConfiguration(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

hasConfiguration(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Has the specified array type been configured in this workspace manager?

hasCooSparse() - Method in class org.tensorflow.framework.TensorInfo.Builder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

hasCooSparse() - Method in class org.tensorflow.framework.TensorInfo

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

hasCooSparse() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

hasCostGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

.tensorflow.CostGraphDef cost_graph = 3;

hasCostGraph() - Method in class org.tensorflow.distruntime.RunGraphResponse

.tensorflow.CostGraphDef cost_graph = 3;

hasCostGraph() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

.tensorflow.CostGraphDef cost_graph = 3;

hasCostGraph() - Method in class org.tensorflow.framework.RunMetadata.Builder

The cost graph for the computation defined by the run call.

hasCostGraph() - Method in class org.tensorflow.framework.RunMetadata

The cost graph for the computation defined by the run call.

hasCostGraph() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

The cost graph for the computation defined by the run call.

hasDebugOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Field(s) used by TensorFlow Debugger (tfdbg).

hasDebugOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Field(s) used by TensorFlow Debugger (tfdbg).

hasDebugOptions() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Field(s) used by TensorFlow Debugger (tfdbg).

hasDebugOptions() - Method in class org.tensorflow.framework.RunOptions.Builder

EXPERIMENTAL.

hasDebugOptions() - Method in class org.tensorflow.framework.RunOptions

EXPERIMENTAL.

hasDebugOptions() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

EXPERIMENTAL.

hasDefaultSessionConfig() - Method in class org.tensorflow.distruntime.ServerDef.Builder

The default configuration for sessions that run on this server.

hasDefaultSessionConfig() - Method in class org.tensorflow.distruntime.ServerDef

The default configuration for sessions that run on this server.

hasDefaultSessionConfig() - Method in interface org.tensorflow.distruntime.ServerDefOrBuilder

The default configuration for sessions that run on this server.

hasDefaultStridesForShape(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

hasDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Specify a new default value to use for this attr.

hasDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr

Specify a new default value to use for this attr.

hasDefaultValue() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder

Specify a new default value to use for this attr.

hasDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A reasonable default for this attribute if the user does not supply a value.

hasDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef

A reasonable default for this attribute if the user does not supply a value.

hasDefaultValue() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder

A reasonable default for this attribute if the user does not supply a value.

hasDependency(T) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

Check whether any dependencies x -> y exist, for y (i.e., anything previously added by AbstractDependencyTracker.addDependency(Object, Object) or AbstractDependencyTracker.addOrDependency(Object, Object, Object)

hasDepleted - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

hasDepleted - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

hasDeprecation() - Method in class org.tensorflow.framework.OpDef.Builder

Optional deprecation based on GraphDef versions.

hasDeprecation() - Method in class org.tensorflow.framework.OpDef

Optional deprecation based on GraphDef versions.

hasDeprecation() - Method in interface org.tensorflow.framework.OpDefOrBuilder

Optional deprecation based on GraphDef versions.

hasDimParam() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

namespace Shape

hasDimParam() - Method in class onnx.Onnx.TensorShapeProto.Dimension

namespace Shape

hasDimParam() - Method in interface onnx.Onnx.TensorShapeProto.DimensionOrBuilder

namespace Shape

hasDimParam() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

hasDimParam() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

namespace Shape

hasDimParam() - Method in interface onnx.OnnxMl.TensorShapeProto.DimensionOrBuilder

namespace Shape

hasDimParam() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

namespace Shape

hasDimParam() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

namespace Shape

hasDimParam() - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder

namespace Shape

hasDimValue() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

hasDimValue() - Method in class onnx.Onnx.TensorShapeProto.Dimension

int64 dim_value = 1;

hasDimValue() - Method in interface onnx.Onnx.TensorShapeProto.DimensionOrBuilder

int64 dim_value = 1;

hasDimValue() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

hasDimValue() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

int64 dim_value = 1;

hasDimValue() - Method in interface onnx.OnnxMl.TensorShapeProto.DimensionOrBuilder

int64 dim_value = 1;

hasDimValue() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

hasDimValue() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

int64 dim_value = 1;

hasDimValue() - Method in interface org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder

int64 dim_value = 1;

hasElemType() - Method in class onnx.Onnx.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

hasElemType() - Method in class onnx.Onnx.TypeProto.Optional

The type and optional shape of the element wrapped.

hasElemType() - Method in interface onnx.Onnx.TypeProto.OptionalOrBuilder

The type and optional shape of the element wrapped.

hasElemType() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

hasElemType() - Method in class onnx.Onnx.TypeProto.Sequence

The type and optional shape of each element of the sequence.

hasElemType() - Method in interface onnx.Onnx.TypeProto.SequenceOrBuilder

The type and optional shape of each element of the sequence.

hasElemType() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

hasElemType() - Method in class onnx.OnnxMl.TypeProto.Optional

The type and optional shape of the element wrapped.

hasElemType() - Method in interface onnx.OnnxMl.TypeProto.OptionalOrBuilder

The type and optional shape of the element wrapped.

hasElemType() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

hasElemType() - Method in class onnx.OnnxMl.TypeProto.Sequence

The type and optional shape of each element of the sequence.

hasElemType() - Method in interface onnx.OnnxMl.TypeProto.SequenceOrBuilder

The type and optional shape of each element of the sequence.

hasExecOpts() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Options for this step.

hasExecOpts() - Method in class org.tensorflow.distruntime.RunGraphRequest

Options for this step.

hasExecOpts() - Method in interface org.tensorflow.distruntime.RunGraphRequestOrBuilder

Options for this step.

hasExperimental() - Method in class org.tensorflow.framework.ConfigProto.Builder

.tensorflow.ConfigProto.Experimental experimental = 16;

hasExperimental() - Method in class org.tensorflow.framework.ConfigProto

.tensorflow.ConfigProto.Experimental experimental = 16;

hasExperimental() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

.tensorflow.ConfigProto.Experimental experimental = 16;

hasExperimental() - Method in class org.tensorflow.framework.GPUOptions.Builder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

hasExperimental() - Method in class org.tensorflow.framework.GPUOptions

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

hasExperimental() - Method in interface org.tensorflow.framework.GPUOptionsOrBuilder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

hasExperimental() - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.Experimental experimental = 8;

hasExperimental() - Method in class org.tensorflow.framework.RunOptions

.tensorflow.RunOptions.Experimental experimental = 8;

hasExperimental() - Method in interface org.tensorflow.framework.RunOptionsOrBuilder

.tensorflow.RunOptions.Experimental experimental = 8;

hasF() - Method in class org.tensorflow.framework.AttrValue.Builder

"float"

hasF() - Method in class org.tensorflow.framework.AttrValue

"float"

hasF() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"float"

hasFloatList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.FloatList float_list = 4;

hasFloatList() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.FloatList float_list = 4;

hasFloatList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.FloatList float_list = 4;

hasFunc() - Method in class org.tensorflow.framework.AttrValue.Builder

"func" represents a function.

hasFunc() - Method in class org.tensorflow.framework.AttrValue

"func" represents a function.

hasFunc() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"func" represents a function.

hasFunctionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

.tensorflow.FunctionDef function_def = 2;

hasFunctionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

.tensorflow.FunctionDef function_def = 2;

hasFunctionDef() - Method in interface tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder

.tensorflow.FunctionDef function_def = 2;

hasG() - Method in class onnx.Onnx.AttributeProto.Builder

graph

hasG() - Method in class onnx.Onnx.AttributeProto

graph

hasG() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

graph

hasG() - Method in class onnx.OnnxMl.AttributeProto.Builder

graph

hasG() - Method in class onnx.OnnxMl.AttributeProto

graph

hasG() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

graph

hasGpuOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all GPUs.

hasGpuOptions() - Method in class org.tensorflow.framework.ConfigProto

Options that apply to all GPUs.

hasGpuOptions() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Options that apply to all GPUs.

hasGradient() - Method in class org.nd4j.autodiff.samediff.SDVariable

Determine if this variable has a gradient with respect to the current loss.

hasGradientFunction() - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns true if the gradient function has been created - i.e., SameDiff.createGradFunction() or SameDiff.createGradFunction(String...) has been called at all

hasGraph() - Method in class onnx.Onnx.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

hasGraph() - Method in class onnx.Onnx.ModelProto

The parameterized graph that is evaluated to execute the model.

hasGraph() - Method in interface onnx.Onnx.ModelProtoOrBuilder

The parameterized graph that is evaluated to execute the model.

hasGraph() - Method in class onnx.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

hasGraph() - Method in class onnx.OnnxMl.ModelProto

The parameterized graph that is evaluated to execute the model.

hasGraph() - Method in interface onnx.OnnxMl.ModelProtoOrBuilder

The parameterized graph that is evaluated to execute the model.

hasGraphDef() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The initial graph definition.

hasGraphDef() - Method in class org.tensorflow.distruntime.CreateSessionRequest

The initial graph definition.

hasGraphDef() - Method in interface org.tensorflow.distruntime.CreateSessionRequestOrBuilder

The initial graph definition.

hasGraphDef() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The nodes to be added to the session's graph.

hasGraphDef() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

REQUIRED: The nodes to be added to the session's graph.

hasGraphDef() - Method in interface org.tensorflow.distruntime.ExtendSessionRequestOrBuilder

REQUIRED: The nodes to be added to the session's graph.

hasGraphDef() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

hasGraphDef() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

hasGraphDef() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

hasGraphDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

GraphDef.

hasGraphDef() - Method in class org.tensorflow.framework.MetaGraphDef

GraphDef.

hasGraphDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

GraphDef.

hasGraphOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Configuration options for the session in which this graph was created.

hasGraphOptions() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

Configuration options for the session in which this graph was created.

hasGraphOptions() - Method in interface org.tensorflow.distruntime.RegisterGraphRequestOrBuilder

Configuration options for the session in which this graph was created.

hasGraphOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all graphs.

hasGraphOptions() - Method in class org.tensorflow.framework.ConfigProto

Options that apply to all graphs.

hasGraphOptions() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Options that apply to all graphs.

HASH_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto

hasHandleToDecref() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

hasHandleToDecref() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

hasHandleToDecref() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

hashCode() - Method in class onnx.Onnx.AttributeProto

hashCode() - Method in class onnx.Onnx.FunctionProto

hashCode() - Method in class onnx.Onnx.GraphProto

hashCode() - Method in class onnx.Onnx.ModelProto

hashCode() - Method in class onnx.Onnx.NodeProto

hashCode() - Method in class onnx.Onnx.OperatorSetIdProto

hashCode() - Method in class onnx.Onnx.SparseTensorProto

hashCode() - Method in class onnx.Onnx.StringStringEntryProto

hashCode() - Method in class onnx.Onnx.TensorAnnotation

hashCode() - Method in class onnx.Onnx.TensorProto

hashCode() - Method in class onnx.Onnx.TensorProto.Segment

hashCode() - Method in class onnx.Onnx.TensorShapeProto.Dimension

hashCode() - Method in class onnx.Onnx.TensorShapeProto

hashCode() - Method in class onnx.Onnx.TrainingInfoProto

hashCode() - Method in class onnx.Onnx.TypeProto

hashCode() - Method in class onnx.Onnx.TypeProto.Map

hashCode() - Method in class onnx.Onnx.TypeProto.Optional

hashCode() - Method in class onnx.Onnx.TypeProto.Sequence

hashCode() - Method in class onnx.Onnx.TypeProto.SparseTensor

hashCode() - Method in class onnx.Onnx.TypeProto.Tensor

hashCode() - Method in class onnx.Onnx.ValueInfoProto

hashCode() - Method in class onnx.OnnxMl.AttributeProto

hashCode() - Method in class onnx.OnnxMl.FunctionProto

hashCode() - Method in class onnx.OnnxMl.GraphProto

hashCode() - Method in class onnx.OnnxMl.ModelProto

hashCode() - Method in class onnx.OnnxMl.NodeProto

hashCode() - Method in class onnx.OnnxMl.OperatorSetIdProto

hashCode() - Method in class onnx.OnnxMl.SparseTensorProto

hashCode() - Method in class onnx.OnnxMl.StringStringEntryProto

hashCode() - Method in class onnx.OnnxMl.TensorAnnotation

hashCode() - Method in class onnx.OnnxMl.TensorProto

hashCode() - Method in class onnx.OnnxMl.TensorProto.Segment

hashCode() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

hashCode() - Method in class onnx.OnnxMl.TensorShapeProto

hashCode() - Method in class onnx.OnnxMl.TrainingInfoProto

hashCode() - Method in class onnx.OnnxMl.TypeProto

hashCode() - Method in class onnx.OnnxMl.TypeProto.Map

hashCode() - Method in class onnx.OnnxMl.TypeProto.Opaque

hashCode() - Method in class onnx.OnnxMl.TypeProto.Optional

hashCode() - Method in class onnx.OnnxMl.TypeProto.Sequence

hashCode() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

hashCode() - Method in class onnx.OnnxMl.TypeProto.Tensor

hashCode() - Method in class onnx.OnnxMl.ValueInfoProto

hashCode() - Method in class onnx.OnnxOperators.OperatorProto

hashCode() - Method in class onnx.OnnxOperators.OperatorSetProto

hashCode() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

hashCode() - Method in class org.nd4j.autodiff.samediff.config.SDValue

hashCode() - Method in class org.nd4j.autodiff.samediff.SameDiff

hashCode() - Method in class org.nd4j.autodiff.samediff.SDVariable

hashCode() - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

hashCode() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

hashCode() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

hashCode() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

hashCode() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

hashCode() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

hashCode() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

hashCode() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

hashCode() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

hashCode() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

hashCode() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

hashCode() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

hashCode() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

hashCode() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

hashCode() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

hashCode() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

hashCode() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

hashCode() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

hashCode() - Method in class org.nd4j.linalg.api.ops.BaseOp

hashCode() - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

hashCode() - Method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

hashCode() - Method in class org.nd4j.linalg.api.shape.ShapeDescriptor

hashCode() - Method in class org.nd4j.linalg.cache.ArrayDescriptor

hashCode() - Method in class org.nd4j.linalg.dataset.DataSet

hashCode() - Method in class org.nd4j.linalg.dataset.MultiDataSet

hashCode() - Method in class org.nd4j.linalg.indexing.IntervalIndex

hashCode() - Method in class org.nd4j.linalg.indexing.NDArrayIndex

hashCode() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor

hashCode() - Method in class org.tensorflow.distruntime.CleanupAllRequest

hashCode() - Method in class org.tensorflow.distruntime.CleanupAllResponse

hashCode() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

hashCode() - Method in class org.tensorflow.distruntime.CleanupGraphResponse

hashCode() - Method in class org.tensorflow.distruntime.CloseSessionRequest

hashCode() - Method in class org.tensorflow.distruntime.CloseSessionResponse

hashCode() - Method in class org.tensorflow.distruntime.ClusterDef

hashCode() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

hashCode() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

hashCode() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

hashCode() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

hashCode() - Method in class org.tensorflow.distruntime.CreateSessionRequest

hashCode() - Method in class org.tensorflow.distruntime.CreateSessionResponse

hashCode() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

hashCode() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

hashCode() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

hashCode() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

hashCode() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

hashCode() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

hashCode() - Method in class org.tensorflow.distruntime.ExecutorOpts

hashCode() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

hashCode() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

hashCode() - Method in class org.tensorflow.distruntime.GetStatusRequest

hashCode() - Method in class org.tensorflow.distruntime.GetStatusResponse

hashCode() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

hashCode() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

hashCode() - Method in class org.tensorflow.distruntime.JobDef

hashCode() - Method in class org.tensorflow.distruntime.LabeledStepStats

hashCode() - Method in class org.tensorflow.distruntime.ListDevicesRequest

hashCode() - Method in class org.tensorflow.distruntime.ListDevicesResponse

hashCode() - Method in class org.tensorflow.distruntime.LoggingRequest

hashCode() - Method in class org.tensorflow.distruntime.LoggingResponse

hashCode() - Method in class org.tensorflow.distruntime.MakeCallableRequest

hashCode() - Method in class org.tensorflow.distruntime.MakeCallableResponse

hashCode() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

hashCode() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

hashCode() - Method in class org.tensorflow.distruntime.RecvBufRequest

hashCode() - Method in class org.tensorflow.distruntime.RecvBufResponse

hashCode() - Method in class org.tensorflow.distruntime.RecvTensorRequest

hashCode() - Method in class org.tensorflow.distruntime.RecvTensorResponse

hashCode() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

hashCode() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

hashCode() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

hashCode() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

hashCode() - Method in class org.tensorflow.distruntime.ResetRequest

hashCode() - Method in class org.tensorflow.distruntime.ResetResponse

hashCode() - Method in class org.tensorflow.distruntime.RunCallableRequest

hashCode() - Method in class org.tensorflow.distruntime.RunCallableResponse

hashCode() - Method in class org.tensorflow.distruntime.RunGraphRequest

hashCode() - Method in class org.tensorflow.distruntime.RunGraphResponse

hashCode() - Method in class org.tensorflow.distruntime.RunStepRequest

hashCode() - Method in class org.tensorflow.distruntime.RunStepResponse

hashCode() - Method in class org.tensorflow.distruntime.ServerDef

hashCode() - Method in class org.tensorflow.distruntime.StepSequence

hashCode() - Method in class org.tensorflow.distruntime.TraceOpts

hashCode() - Method in class org.tensorflow.distruntime.TracingRequest

hashCode() - Method in class org.tensorflow.distruntime.TracingResponse

hashCode() - Method in class org.tensorflow.framework.AllocationDescription

hashCode() - Method in class org.tensorflow.framework.AllocationRecord

hashCode() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

hashCode() - Method in class org.tensorflow.framework.ApiDef.Arg

hashCode() - Method in class org.tensorflow.framework.ApiDef.Attr

hashCode() - Method in class org.tensorflow.framework.ApiDef.Endpoint

hashCode() - Method in class org.tensorflow.framework.ApiDef

hashCode() - Method in class org.tensorflow.framework.ApiDefs

hashCode() - Method in class org.tensorflow.framework.AssetFileDef

hashCode() - Method in class org.tensorflow.framework.AttrValue

hashCode() - Method in class org.tensorflow.framework.AttrValue.ListValue

hashCode() - Method in class org.tensorflow.framework.AutoParallelOptions

hashCode() - Method in class org.tensorflow.framework.CallableOptions

hashCode() - Method in class org.tensorflow.framework.CollectionDef.AnyList

hashCode() - Method in class org.tensorflow.framework.CollectionDef.BytesList

hashCode() - Method in class org.tensorflow.framework.CollectionDef.FloatList

hashCode() - Method in class org.tensorflow.framework.CollectionDef

hashCode() - Method in class org.tensorflow.framework.CollectionDef.Int64List

hashCode() - Method in class org.tensorflow.framework.CollectionDef.NodeList

hashCode() - Method in class org.tensorflow.framework.CondContextDef

hashCode() - Method in class org.tensorflow.framework.ConfigProto.Experimental

hashCode() - Method in class org.tensorflow.framework.ConfigProto

hashCode() - Method in class org.tensorflow.framework.ControlFlowContextDef

hashCode() - Method in class org.tensorflow.framework.CostGraphDef

hashCode() - Method in class org.tensorflow.framework.CostGraphDef.Node

hashCode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

hashCode() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

hashCode() - Method in class org.tensorflow.framework.CriticalSectionDef

hashCode() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

hashCode() - Method in class org.tensorflow.framework.DebuggedSourceFile

hashCode() - Method in class org.tensorflow.framework.DebuggedSourceFiles

hashCode() - Method in class org.tensorflow.framework.DebugOptions

hashCode() - Method in class org.tensorflow.framework.DebugTensorWatch

hashCode() - Method in class org.tensorflow.framework.DeviceAttributes

hashCode() - Method in class org.tensorflow.framework.DeviceLocality

hashCode() - Method in class org.tensorflow.framework.DeviceStepStats

hashCode() - Method in class org.tensorflow.framework.FunctionDef

hashCode() - Method in class org.tensorflow.framework.FunctionDefLibrary

hashCode() - Method in class org.tensorflow.framework.GPUOptions.Experimental

hashCode() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

hashCode() - Method in class org.tensorflow.framework.GPUOptions

hashCode() - Method in class org.tensorflow.framework.GradientDef

hashCode() - Method in class org.tensorflow.framework.GraphDef

hashCode() - Method in class org.tensorflow.framework.GraphOptions

hashCode() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

hashCode() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

hashCode() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

hashCode() - Method in class org.tensorflow.framework.GraphTransferInfo

hashCode() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

hashCode() - Method in class org.tensorflow.framework.GraphTransferNodeInput

hashCode() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

hashCode() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

hashCode() - Method in class org.tensorflow.framework.HistogramProto

hashCode() - Method in class org.tensorflow.framework.InterconnectLink

hashCode() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

hashCode() - Method in class org.tensorflow.framework.KernelDef

hashCode() - Method in class org.tensorflow.framework.LocalLinks

hashCode() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

hashCode() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

hashCode() - Method in class org.tensorflow.framework.MemoryLogStep

hashCode() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

hashCode() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

hashCode() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

hashCode() - Method in class org.tensorflow.framework.MemoryStats

hashCode() - Method in class org.tensorflow.framework.MetaGraphDef

hashCode() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

hashCode() - Method in class org.tensorflow.framework.NameAttrList

hashCode() - Method in class org.tensorflow.framework.NamedTensorProto

hashCode() - Method in class org.tensorflow.framework.NodeDef

hashCode() - Method in class org.tensorflow.framework.NodeExecStats

hashCode() - Method in class org.tensorflow.framework.NodeOutput

hashCode() - Method in class org.tensorflow.framework.OpDef.ArgDef

hashCode() - Method in class org.tensorflow.framework.OpDef.AttrDef

hashCode() - Method in class org.tensorflow.framework.OpDef

hashCode() - Method in class org.tensorflow.framework.OpDeprecation

hashCode() - Method in class org.tensorflow.framework.OpList

hashCode() - Method in class org.tensorflow.framework.OptimizerOptions

hashCode() - Method in class org.tensorflow.framework.QueueRunnerDef

hashCode() - Method in class org.tensorflow.framework.ReaderBaseState

hashCode() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

hashCode() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

hashCode() - Method in class org.tensorflow.framework.ResourceHandleProto

hashCode() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

hashCode() - Method in class org.tensorflow.framework.RewriterConfig

hashCode() - Method in class org.tensorflow.framework.RPCOptions

hashCode() - Method in class org.tensorflow.framework.RunMetadata

hashCode() - Method in class org.tensorflow.framework.RunOptions.Experimental

hashCode() - Method in class org.tensorflow.framework.RunOptions

hashCode() - Method in class org.tensorflow.framework.SavedModel

hashCode() - Method in class org.tensorflow.framework.SaveSliceInfoDef

hashCode() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

hashCode() - Method in class org.tensorflow.framework.SignatureDef

hashCode() - Method in class org.tensorflow.framework.StepStats

hashCode() - Method in class org.tensorflow.framework.Summary.Audio

hashCode() - Method in class org.tensorflow.framework.Summary

hashCode() - Method in class org.tensorflow.framework.Summary.Image

hashCode() - Method in class org.tensorflow.framework.Summary.Value

hashCode() - Method in class org.tensorflow.framework.SummaryDescription

hashCode() - Method in class org.tensorflow.framework.SummaryMetadata

hashCode() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

hashCode() - Method in class org.tensorflow.framework.TensorConnection

hashCode() - Method in class org.tensorflow.framework.TensorDescription

hashCode() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

hashCode() - Method in class org.tensorflow.framework.TensorInfo

hashCode() - Method in class org.tensorflow.framework.TensorProto

hashCode() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

hashCode() - Method in class org.tensorflow.framework.TensorShapeProto

hashCode() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

hashCode() - Method in class org.tensorflow.framework.TensorSliceProto

hashCode() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

hashCode() - Method in class org.tensorflow.framework.ValuesDef

hashCode() - Method in class org.tensorflow.framework.VariableDef

hashCode() - Method in class org.tensorflow.framework.VariantTensorDataProto

hashCode() - Method in class org.tensorflow.framework.VersionDef

hashCode() - Method in class org.tensorflow.framework.WhileContextDef

hashCode() - Method in class org.tensorflow.util.BundleEntryProto

hashCode() - Method in class org.tensorflow.util.BundleHeaderProto

hashCode() - Method in class org.tensorflow.util.IteratorStateMetadata

hashCode() - Method in class org.tensorflow.util.SaverDef

hashCode() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

hashCode() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

hashCode() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

hashCode() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

hashCode() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

hashCode() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

hashCode() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

hashCode() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

hashCode() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

HashCode - Class in org.nd4j.linalg.api.ops.impl.reduce

HashCode() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.HashCode

HashCode(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.HashCode

HashCode(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.HashCode

HashDependencyTracker<T extends SDValue,D> - Class in org.nd4j.autodiff.samediff.internal.memory

HashDependencyTracker() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.HashDependencyTracker

hasHisto() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.HistogramProto histo = 5;

hasHisto() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.HistogramProto histo = 5;

hasHisto() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.HistogramProto histo = 5;

HashUtil - Class in org.nd4j.linalg.util

HashUtil() - Constructor for class org.nd4j.linalg.util.HashUtil

hasI() - Method in class org.tensorflow.framework.AttrValue.Builder

"int"

hasI() - Method in class org.tensorflow.framework.AttrValue

"int"

hasI() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"int"

hasImage() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Image image = 4;

hasImage() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.Summary.Image image = 4;

hasImage() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.Summary.Image image = 4;

hasIndices() - Method in class onnx.Onnx.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

hasIndices() - Method in class onnx.Onnx.SparseTensorProto

The indices of the non-default values, which may be stored in one of two formats.

hasIndices() - Method in interface onnx.Onnx.SparseTensorProtoOrBuilder

The indices of the non-default values, which may be stored in one of two formats.

hasIndices() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

hasIndices() - Method in class onnx.OnnxMl.SparseTensorProto

The indices of the non-default values, which may be stored in one of two formats.

hasIndices() - Method in interface onnx.OnnxMl.SparseTensorProtoOrBuilder

The indices of the non-default values, which may be stored in one of two formats.

hasInitialization() - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

hasInitialization() - Method in class onnx.Onnx.TrainingInfoProto

This field describes a graph to compute the initial tensors upon starting the training process.

hasInitialization() - Method in interface onnx.Onnx.TrainingInfoProtoOrBuilder

This field describes a graph to compute the initial tensors upon starting the training process.

hasInitialization() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

hasInitialization() - Method in class onnx.OnnxMl.TrainingInfoProto

This field describes a graph to compute the initial tensors upon starting the training process.

hasInitialization() - Method in interface onnx.OnnxMl.TrainingInfoProtoOrBuilder

This field describes a graph to compute the initial tensors upon starting the training process.

hasInputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto inputValue = 8;

hasInputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.TensorProto inputValue = 8;

hasInputValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.TensorProto inputValue = 8;

hasInt64List() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.Int64List int64_list = 3;

hasInt64List() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.Int64List int64_list = 3;

hasInt64List() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.Int64List int64_list = 3;

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.AdaBelief

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.AdaDelta

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.AdaGrad

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.Adam

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.AdaMax

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.AMSGrad

hasLearningRate() - Method in interface org.nd4j.linalg.learning.config.IUpdater

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.Nadam

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.Nesterovs

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.NoOp

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.RmsProp

hasLearningRate() - Method in class org.nd4j.linalg.learning.config.Sgd

hasLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

int64 length = 2;

hasLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

int64 length = 2;

hasLength() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder

int64 length = 2;

HASLENGTH_NOT_SET - org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase

hasLibrary() - Method in class org.tensorflow.framework.GraphDef.Builder

EXPERIMENTAL.

hasLibrary() - Method in class org.tensorflow.framework.GraphDef

EXPERIMENTAL.

hasLibrary() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

EXPERIMENTAL.

hasLinks() - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional local interconnect links to other devices.

hasLinks() - Method in class org.tensorflow.framework.DeviceLocality

Optional local interconnect links to other devices.

hasLinks() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder

Optional local interconnect links to other devices.

hasList() - Method in class org.tensorflow.framework.AttrValue.Builder

any "list(...)"

hasList() - Method in class org.tensorflow.framework.AttrValue

any "list(...)"

hasList() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

any "list(...)"

hasLocality() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Platform-specific data about device that may be useful for supporting efficient data transfers.

hasLocality() - Method in class org.tensorflow.framework.DeviceAttributes

Platform-specific data about device that may be useful for supporting efficient data transfers.

hasLocality() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder

Platform-specific data about device that may be useful for supporting efficient data transfers.

hasMapType() - Method in class onnx.Onnx.TypeProto.Builder

The type of a map.

hasMapType() - Method in class onnx.Onnx.TypeProto

The type of a map.

hasMapType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of a map.

hasMapType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a map.

hasMapType() - Method in class onnx.OnnxMl.TypeProto

The type of a map.

hasMapType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of a map.

hasMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Whether the labels or input (features) mask arrays are present for this DataSet

hasMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Whether there are any mask arrays (features or labels) present for this MultiDataSet

hasMaskArrays() - Method in class org.nd4j.linalg.dataset.DataSet

hasMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet

hasMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats.Builder

.tensorflow.MemoryStats memory_stats = 12;

hasMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats

.tensorflow.MemoryStats memory_stats = 12;

hasMemoryStats() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder

.tensorflow.MemoryStats memory_stats = 12;

hasMetadata() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Returned metadata if requested in the options.

hasMetadata() - Method in class org.tensorflow.distruntime.RunCallableResponse

Returned metadata if requested in the options.

hasMetadata() - Method in interface org.tensorflow.distruntime.RunCallableResponseOrBuilder

Returned metadata if requested in the options.

hasMetadata() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

Returned metadata if requested in the options.

hasMetadata() - Method in class org.tensorflow.distruntime.RunStepResponse

Returned metadata if requested in the options.

hasMetadata() - Method in interface org.tensorflow.distruntime.RunStepResponseOrBuilder

Returned metadata if requested in the options.

hasMetadata() - Method in class org.tensorflow.framework.Summary.Value.Builder

Contains metadata on the summary value such as which plugins may use it.

hasMetadata() - Method in class org.tensorflow.framework.Summary.Value

Contains metadata on the summary value such as which plugins may use it.

hasMetadata() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

Contains metadata on the summary value such as which plugins may use it.

hasMetaInfoDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

hasMetaInfoDef() - Method in class org.tensorflow.framework.MetaGraphDef

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

hasMetaInfoDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

hasMore() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

hasMore() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

Whether the dataset has more to load

hasName() - Method in class org.tensorflow.framework.TensorInfo.Builder

For dense `Tensor`s, the name of the tensor in the graph.

hasName() - Method in class org.tensorflow.framework.TensorInfo

For dense `Tensor`s, the name of the tensor in the graph.

hasName() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

For dense `Tensor`s, the name of the tensor in the graph.

hasName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

hasNewAllSatisfied() - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

hasNext() - Method in class org.nd4j.linalg.api.iter.FirstAxisIterator

hasNext() - Method in class org.nd4j.linalg.api.iter.FlatIterator

hasNext() - Method in class org.nd4j.linalg.api.iter.INDArrayIterator

hasNext() - Method in class org.nd4j.linalg.api.iter.NdIndexIterator

hasNext() - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

hasNext() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

hasNext() - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

hasNext() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

hasNext() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

hasNext() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

hasNext() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

Returns true if the iteration has more elements.

hasNext() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

hasNext() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

hasNext() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

hasNext() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Returns true if the iteration has more elements.

hasNext() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

Returns true if the iteration has more elements.

hasNext() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

hasNext() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

hasNext() - Method in class org.nd4j.linalg.dataset.ViewIterator

hasNextFor() - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator

Returns true, if attached producer has something in queue, false otherwise

hasNextFor() - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator

Returns true, if attached producer has something in queue, false otherwise

hasNextFor(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator

Returns true, if attached producer has something in queue, false otherwise

hasNextFor(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator

Returns true, if attached producer has something in queue, false otherwise

hasNodeList() - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.NodeList node_list = 1;

hasNodeList() - Method in class org.tensorflow.framework.CollectionDef

.tensorflow.CollectionDef.NodeList node_list = 1;

hasNodeList() - Method in interface org.tensorflow.framework.CollectionDefOrBuilder

.tensorflow.CollectionDef.NodeList node_list = 1;

hasObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value.Builder

bytes obsolete_old_style_histogram = 3;

hasObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value

bytes obsolete_old_style_histogram = 3;

hasObsoleteOldStyleHistogram() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

bytes obsolete_old_style_histogram = 3;

hasOpaqueType() - Method in class onnx.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

hasOpaqueType() - Method in class onnx.OnnxMl.TypeProto

.onnx.TypeProto.Opaque opaque_type = 7;

hasOpaqueType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

.onnx.TypeProto.Opaque opaque_type = 7;

hasOperation() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.Operation operation = 2;

hasOperation() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

.tensorflow.eager.Operation operation = 2;

hasOperation() - Method in interface tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder

.tensorflow.eager.Operation operation = 2;

hasOptimizerOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options controlling how graph is optimized.

hasOptimizerOptions() - Method in class org.tensorflow.framework.GraphOptions

Options controlling how graph is optimized.

hasOptimizerOptions() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

Options controlling how graph is optimized.

hasOptionalType() - Method in class onnx.Onnx.TypeProto.Builder

The type of an optional.

hasOptionalType() - Method in class onnx.Onnx.TypeProto

The type of an optional.

hasOptionalType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of an optional.

hasOptionalType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of an optional.

hasOptionalType() - Method in class onnx.OnnxMl.TypeProto

The type of an optional.

hasOptionalType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of an optional.

hasOptions() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

Options that define the behavior of the created callable.

hasOptions() - Method in class org.tensorflow.distruntime.MakeCallableRequest

Options that define the behavior of the created callable.

hasOptions() - Method in interface org.tensorflow.distruntime.MakeCallableRequestOrBuilder

Options that define the behavior of the created callable.

hasOptions() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Options for the run call.

hasOptions() - Method in class org.tensorflow.distruntime.RunStepRequest

Options for the run call.

hasOptions() - Method in interface org.tensorflow.distruntime.RunStepRequestOrBuilder

Options for the run call.

hasOptions() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

.tensorflow.TraceOpts options = 1;

hasOptions() - Method in class org.tensorflow.distruntime.TracingRequest

.tensorflow.TraceOpts options = 1;

hasOptions() - Method in interface org.tensorflow.distruntime.TracingRequestOrBuilder

.tensorflow.TraceOpts options = 1;

hasOutputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto outputValue = 9;

hasOutputValue() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

.org.nd4j.ir.TensorProto outputValue = 9;

hasOutputValue() - Method in interface org.nd4j.ir.OpNamespace.ArgDescriptorOrBuilder

.org.nd4j.ir.TensorProto outputValue = 9;

hasPH() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights

hasPlaceholder() - Method in class org.tensorflow.framework.AttrValue.Builder

This is a placeholder only used in nodes defined inside a function.

hasPlaceholder() - Method in class org.tensorflow.framework.AttrValue

This is a placeholder only used in nodes defined inside a function.

hasPlaceholder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

This is a placeholder only used in nodes defined inside a function.

hasPluginData() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Data that associates a summary with a certain plugin.

hasPluginData() - Method in class org.tensorflow.framework.SummaryMetadata

Data that associates a summary with a certain plugin.

hasPluginData() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder

Data that associates a summary with a certain plugin.

hasProperties() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

.tensorflow.DeviceProperties properties = 2;

hasProperties() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

.tensorflow.DeviceProperties properties = 2;

hasProperties() - Method in interface tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder

.tensorflow.DeviceProperties properties = 2;

hasReductionIndices(NodeDef) - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

hasRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Definition of remote graph

hasRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

Definition of remote graph

hasRemoteGraph() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder

Definition of remote graph

hasRewriteOptions() - Method in class org.tensorflow.framework.GraphOptions.Builder

Options that control the type and amount of graph rewriting.

hasRewriteOptions() - Method in class org.tensorflow.framework.GraphOptions

Options that control the type and amount of graph rewriting.

hasRewriteOptions() - Method in interface org.tensorflow.framework.GraphOptionsOrBuilder

Options that control the type and amount of graph rewriting.

hasRpcOptions() - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply when this session uses the distributed runtime.

hasRpcOptions() - Method in class org.tensorflow.framework.ConfigProto

Options that apply when this session uses the distributed runtime.

hasRpcOptions() - Method in interface org.tensorflow.framework.ConfigProtoOrBuilder

Options that apply when this session uses the distributed runtime.

hasRunOptions() - Method in class org.tensorflow.framework.CallableOptions.Builder

Options that will be applied to each run.

hasRunOptions() - Method in class org.tensorflow.framework.CallableOptions

Options that will be applied to each run.

hasRunOptions() - Method in interface org.tensorflow.framework.CallableOptionsOrBuilder

Options that will be applied to each run.

hasS() - Method in class org.tensorflow.framework.AttrValue.Builder

"string"

hasS() - Method in class org.tensorflow.framework.AttrValue

"string"

hasS() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"string"

hasSaverDef() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

SaverDef.

hasSaverDef() - Method in class org.tensorflow.framework.MetaGraphDef

SaverDef.

hasSaverDef() - Method in interface org.tensorflow.framework.MetaGraphDefOrBuilder

SaverDef.

hasSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef.Builder

Support for saving variables as slices of a larger variable.

hasSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef

Support for saving variables as slices of a larger variable.

hasSaveSliceInfoDef() - Method in interface org.tensorflow.framework.VariableDefOrBuilder

Support for saving variables as slices of a larger variable.

hasScopedAllocatorOpts() - Method in class org.tensorflow.framework.RewriterConfig.Builder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

hasScopedAllocatorOpts() - Method in class org.tensorflow.framework.RewriterConfig

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

hasScopedAllocatorOpts() - Method in interface org.tensorflow.framework.RewriterConfigOrBuilder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

hasSegment() - Method in class onnx.Onnx.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

hasSegment() - Method in class onnx.Onnx.TensorProto

.onnx.TensorProto.Segment segment = 3;

hasSegment() - Method in interface onnx.Onnx.TensorProtoOrBuilder

.onnx.TensorProto.Segment segment = 3;

hasSegment() - Method in class onnx.OnnxMl.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

hasSegment() - Method in class onnx.OnnxMl.TensorProto

.onnx.TensorProto.Segment segment = 3;

hasSegment() - Method in interface onnx.OnnxMl.TensorProtoOrBuilder

.onnx.TensorProto.Segment segment = 3;

hasSegment() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

.org.nd4j.ir.TensorProto.Segment segment = 3;

hasSegment() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

.org.nd4j.ir.TensorProto.Segment segment = 3;

hasSegment() - Method in interface org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder

.org.nd4j.ir.TensorProto.Segment segment = 3;

hasSequenceType() - Method in class onnx.Onnx.TypeProto.Builder

The type of a sequence.

hasSequenceType() - Method in class onnx.Onnx.TypeProto

The type of a sequence.

hasSequenceType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of a sequence.

hasSequenceType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a sequence.

hasSequenceType() - Method in class onnx.OnnxMl.TypeProto

The type of a sequence.

hasSequenceType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of a sequence.

hasServerDef() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Defines the configuration of a TensorFlow worker.

hasServerDef() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

Defines the configuration of a TensorFlow worker.

hasServerDef() - Method in interface org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder

Defines the configuration of a TensorFlow worker.

hasServerDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Identifies the full cluster, and this particular worker's position within.

hasServerDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

Identifies the full cluster, and this particular worker's position within.

hasServerDef() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder

Identifies the full cluster, and this particular worker's position within.

hasServerLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on server-side device locality.

hasServerLocality() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional information on server-side device locality.

hasServerLocality() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional information on server-side device locality.

hasServerLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on server-side device locality.

hasServerLocality() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Optional information on server-side device locality.

hasServerLocality() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Optional information on server-side device locality.

hasShape() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in class onnx.Onnx.TypeProto.SparseTensor

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in interface onnx.Onnx.TypeProto.SparseTensorOrBuilder

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in class onnx.Onnx.TypeProto.Tensor

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in interface onnx.Onnx.TypeProto.TensorOrBuilder

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in interface onnx.OnnxMl.TypeProto.SparseTensorOrBuilder

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in class onnx.OnnxMl.TypeProto.Tensor

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in interface onnx.OnnxMl.TypeProto.TensorOrBuilder

.onnx.TensorShapeProto shape = 2;

hasShape() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

.org.nd4j.ir.TensorShapeProto shape = 2;

hasShape() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

.org.nd4j.ir.TensorShapeProto shape = 2;

hasShape() - Method in interface org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder

.org.nd4j.ir.TensorShapeProto shape = 2;

hasShape() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.TensorShapeProto shape = 4;

hasShape() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

.tensorflow.TensorShapeProto shape = 4;

hasShape() - Method in interface org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder

.tensorflow.TensorShapeProto shape = 4;

hasShape() - Method in class org.tensorflow.framework.AttrValue.Builder

"shape"

hasShape() - Method in class org.tensorflow.framework.AttrValue

"shape"

hasShape() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"shape"

hasShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.TensorShapeProto shape = 3;

hasShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

.tensorflow.TensorShapeProto shape = 3;

hasShape() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder

.tensorflow.TensorShapeProto shape = 3;

hasShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.TensorShapeProto shape = 2;

hasShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

.tensorflow.TensorShapeProto shape = 2;

hasShape() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder

.tensorflow.TensorShapeProto shape = 2;

hasShape() - Method in class org.tensorflow.framework.TensorDescription.Builder

Shape of the tensor.

hasShape() - Method in class org.tensorflow.framework.TensorDescription

Shape of the tensor.

hasShape() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder

Shape of the tensor.

hasShape() - Method in class org.tensorflow.util.BundleEntryProto.Builder

.tensorflow.TensorShapeProto shape = 2;

hasShape() - Method in class org.tensorflow.util.BundleEntryProto

.tensorflow.TensorShapeProto shape = 2;

hasShape() - Method in interface org.tensorflow.util.BundleEntryProtoOrBuilder

.tensorflow.TensorShapeProto shape = 2;

hasSignature() - Method in class org.tensorflow.framework.FunctionDef.Builder

The definition of the function's name, arguments, return values, attrs etc.

hasSignature() - Method in class org.tensorflow.framework.FunctionDef

The definition of the function's name, arguments, return values, attrs etc.

hasSignature() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder

The definition of the function's name, arguments, return values, attrs etc.

hasSimpleValue() - Method in class org.tensorflow.framework.Summary.Value.Builder

float simple_value = 2;

hasSimpleValue() - Method in class org.tensorflow.framework.Summary.Value

float simple_value = 2;

hasSimpleValue() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

float simple_value = 2;

hasSingle() - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

hasSparseTensor() - Method in class onnx.Onnx.AttributeProto.Builder

sparse tensor value

hasSparseTensor() - Method in class onnx.Onnx.AttributeProto

sparse tensor value

hasSparseTensor() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

sparse tensor value

hasSparseTensor() - Method in class onnx.OnnxMl.AttributeProto.Builder

sparse tensor value

hasSparseTensor() - Method in class onnx.OnnxMl.AttributeProto

sparse tensor value

hasSparseTensor() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

sparse tensor value

hasSparseTensorType() - Method in class onnx.Onnx.TypeProto.Builder

Type of the sparse tensor

hasSparseTensorType() - Method in class onnx.Onnx.TypeProto

Type of the sparse tensor

hasSparseTensorType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

Type of the sparse tensor

hasSparseTensorType() - Method in class onnx.OnnxMl.TypeProto.Builder

Type of the sparse tensor

hasSparseTensorType() - Method in class onnx.OnnxMl.TypeProto

Type of the sparse tensor

hasSparseTensorType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

Type of the sparse tensor

hasStepStats() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

.tensorflow.StepStats step_stats = 2;

hasStepStats() - Method in class org.tensorflow.distruntime.LabeledStepStats

.tensorflow.StepStats step_stats = 2;

hasStepStats() - Method in interface org.tensorflow.distruntime.LabeledStepStatsOrBuilder

.tensorflow.StepStats step_stats = 2;

hasStepStats() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

hasStepStats() - Method in class org.tensorflow.distruntime.RunGraphResponse

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

hasStepStats() - Method in interface org.tensorflow.distruntime.RunGraphResponseOrBuilder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

hasStepStats() - Method in class org.tensorflow.framework.RunMetadata.Builder

Statistics traced for this step.

hasStepStats() - Method in class org.tensorflow.framework.RunMetadata

Statistics traced for this step.

hasStepStats() - Method in interface org.tensorflow.framework.RunMetadataOrBuilder

Statistics traced for this step.

hasStrippedOpList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A copy of the OpDefs used by the producer of this graph_def.

hasStrippedOpList() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

A copy of the OpDefs used by the producer of this graph_def.

hasStrippedOpList() - Method in interface org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder

A copy of the OpDefs used by the producer of this graph_def.

hasT() - Method in class onnx.Onnx.AttributeProto.Builder

tensor value

hasT() - Method in class onnx.Onnx.AttributeProto

tensor value

hasT() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

tensor value

hasT() - Method in class onnx.OnnxMl.AttributeProto.Builder

tensor value

hasT() - Method in class onnx.OnnxMl.AttributeProto

tensor value

hasT() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

tensor value

hasTensor() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The tensor as a proto.

hasTensor() - Method in class org.tensorflow.distruntime.RecvTensorResponse

The tensor as a proto.

hasTensor() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder

The tensor as a proto.

hasTensor() - Method in class org.tensorflow.framework.AttrValue.Builder

"tensor"

hasTensor() - Method in class org.tensorflow.framework.AttrValue

"tensor"

hasTensor() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"tensor"

hasTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Allocated tensor details.

hasTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

Allocated tensor details.

hasTensor() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder

Allocated tensor details.

hasTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Output tensor details.

hasTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

Output tensor details.

hasTensor() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder

Output tensor details.

hasTensor() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

hasTensor() - Method in class org.tensorflow.framework.NamedTensorProto

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

hasTensor() - Method in interface org.tensorflow.framework.NamedTensorProtoOrBuilder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

hasTensor() - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.TensorProto tensor = 8;

hasTensor() - Method in class org.tensorflow.framework.Summary.Value

.tensorflow.TensorProto tensor = 8;

hasTensor() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder

.tensorflow.TensorProto tensor = 8;

hasTensorDescription() - Method in class org.tensorflow.framework.NodeOutput.Builder

.tensorflow.TensorDescription tensor_description = 3;

hasTensorDescription() - Method in class org.tensorflow.framework.NodeOutput

.tensorflow.TensorDescription tensor_description = 3;

hasTensorDescription() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder

.tensorflow.TensorDescription tensor_description = 3;

hasTensorInfo() - Method in class org.tensorflow.framework.AssetFileDef.Builder

The tensor to bind the asset filename to.

hasTensorInfo() - Method in class org.tensorflow.framework.AssetFileDef

The tensor to bind the asset filename to.

hasTensorInfo() - Method in interface org.tensorflow.framework.AssetFileDefOrBuilder

The tensor to bind the asset filename to.

hasTensorShape() - Method in class org.tensorflow.framework.TensorInfo.Builder

The static shape should be recorded here, to the extent that it can be known in advance.

hasTensorShape() - Method in class org.tensorflow.framework.TensorInfo

The static shape should be recorded here, to the extent that it can be known in advance.

hasTensorShape() - Method in interface org.tensorflow.framework.TensorInfoOrBuilder

The static shape should be recorded here, to the extent that it can be known in advance.

hasTensorShape() - Method in class org.tensorflow.framework.TensorProto.Builder

Shape of the tensor.

hasTensorShape() - Method in class org.tensorflow.framework.TensorProto

Shape of the tensor.

hasTensorShape() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder

Shape of the tensor.

hasTensorType() - Method in class onnx.Onnx.TypeProto.Builder

The type of a tensor.

hasTensorType() - Method in class onnx.Onnx.TypeProto

The type of a tensor.

hasTensorType() - Method in interface onnx.Onnx.TypeProtoOrBuilder

The type of a tensor.

hasTensorType() - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a tensor.

hasTensorType() - Method in class onnx.OnnxMl.TypeProto

The type of a tensor.

hasTensorType() - Method in interface onnx.OnnxMl.TypeProtoOrBuilder

The type of a tensor.

hasTensorType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

The type of a tensor.

hasTensorType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

The type of a tensor.

hasTensorType() - Method in interface org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder

The type of a tensor.

hasTp() - Method in class onnx.Onnx.AttributeProto.Builder

Do not use field below, it's deprecated.

hasTp() - Method in class onnx.Onnx.AttributeProto

Do not use field below, it's deprecated.

hasTp() - Method in interface onnx.Onnx.AttributeProtoOrBuilder

Do not use field below, it's deprecated.

hasTp() - Method in class onnx.OnnxMl.AttributeProto.Builder

Do not use field below, it's deprecated.

hasTp() - Method in class onnx.OnnxMl.AttributeProto

Do not use field below, it's deprecated.

hasTp() - Method in interface onnx.OnnxMl.AttributeProtoOrBuilder

Do not use field below, it's deprecated.

hasTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, implementation-specific data.

hasTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufRequest

Optional, implementation-specific data.

hasTransportOptions() - Method in interface org.tensorflow.distruntime.RecvBufRequestOrBuilder

Optional, implementation-specific data.

hasTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, implementation-specific data.

hasTransportOptions() - Method in class org.tensorflow.distruntime.RecvBufResponse

Optional, implementation-specific data.

hasTransportOptions() - Method in interface org.tensorflow.distruntime.RecvBufResponseOrBuilder

Optional, implementation-specific data.

hasTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information needed by the RPC subsystem.

hasTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorRequest

Optional information needed by the RPC subsystem.

hasTransportOptions() - Method in interface org.tensorflow.distruntime.RecvTensorRequestOrBuilder

Optional information needed by the RPC subsystem.

hasTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

Optional additional information about how to receive the tensor, e.g.

hasTransportOptions() - Method in class org.tensorflow.distruntime.RecvTensorResponse

Optional additional information about how to receive the tensor, e.g.

hasTransportOptions() - Method in interface org.tensorflow.distruntime.RecvTensorResponseOrBuilder

Optional additional information about how to receive the tensor, e.g.

hasType() - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

hasType() - Method in class onnx.Onnx.ValueInfoProto

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

hasType() - Method in interface onnx.Onnx.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

hasType() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

hasType() - Method in class onnx.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

hasType() - Method in interface onnx.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

hasType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

hasType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

This field MUST be present in this version of the IR.

hasType() - Method in interface org.nd4j.ir.TensorNamespace.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

hasType() - Method in class org.tensorflow.framework.AttrValue.Builder

"type"

hasType() - Method in class org.tensorflow.framework.AttrValue

"type"

hasType() - Method in interface org.tensorflow.framework.AttrValueOrBuilder

"type"

hasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

hasum(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

hasValues() - Method in class onnx.Onnx.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

hasValues() - Method in class onnx.Onnx.SparseTensorProto

The sequence of non-default values are encoded as a tensor of shape [NNZ].

hasValues() - Method in interface onnx.Onnx.SparseTensorProtoOrBuilder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

hasValues() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

hasValues() - Method in class onnx.OnnxMl.SparseTensorProto

The sequence of non-default values are encoded as a tensor of shape [NNZ].

hasValues() - Method in interface onnx.OnnxMl.SparseTensorProtoOrBuilder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

hasValues() - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

hasValuesDef() - Method in class org.tensorflow.framework.CondContextDef.Builder

Values and external values in control flow context.

hasValuesDef() - Method in class org.tensorflow.framework.CondContextDef

Values and external values in control flow context.

hasValuesDef() - Method in interface org.tensorflow.framework.CondContextDefOrBuilder

Values and external values in control flow context.

hasValuesDef() - Method in class org.tensorflow.framework.WhileContextDef.Builder

Values and external values in control flow context.

hasValuesDef() - Method in class org.tensorflow.framework.WhileContextDef

Values and external values in control flow context.

hasValuesDef() - Method in interface org.tensorflow.framework.WhileContextDefOrBuilder

Values and external values in control flow context.

hasValueType() - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

hasValueType() - Method in class onnx.Onnx.TypeProto.Map

This field MUST be present for this version of the IR.

hasValueType() - Method in interface onnx.Onnx.TypeProto.MapOrBuilder

This field MUST be present for this version of the IR.

hasValueType() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

hasValueType() - Method in class onnx.OnnxMl.TypeProto.Map

This field MUST be present for this version of the IR.

hasValueType() - Method in interface onnx.OnnxMl.TypeProto.MapOrBuilder

This field MUST be present for this version of the IR.

hasVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

hasVersion() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Versioning of the tensor bundle format.

hasVersion() - Method in class org.tensorflow.util.BundleHeaderProto

Versioning of the tensor bundle format.

hasVersion() - Method in interface org.tensorflow.util.BundleHeaderProtoOrBuilder

Versioning of the tensor bundle format.

hasVersionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

This is the version for all the ops that will be enqueued by the client.

hasVersionDef() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

This is the version for all the ops that will be enqueued by the client.

hasVersionDef() - Method in interface tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder

This is the version for all the ops that will be enqueued by the client.

hasVersions() - Method in class org.tensorflow.framework.GraphDef.Builder

Compatibility versions of the graph.

hasVersions() - Method in class org.tensorflow.framework.GraphDef

Compatibility versions of the graph.

hasVersions() - Method in interface org.tensorflow.framework.GraphDefOrBuilder

Compatibility versions of the graph.

hasWhileCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.WhileContextDef while_ctxt = 2;

hasWhileCtxt() - Method in class org.tensorflow.framework.ControlFlowContextDef

.tensorflow.WhileContextDef while_ctxt = 2;

hasWhileCtxt() - Method in interface org.tensorflow.framework.ControlFlowContextDefOrBuilder

.tensorflow.WhileContextDef while_ctxt = 2;

haxpy(long, float, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

haxpy(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

hdot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

hdot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

HEAP - org.nd4j.linalg.api.buffer.DataBuffer.AllocationMode

Deprecated.

Heartbeat - Class in org.nd4j.linalg.heartbeat

Heartbeat() - Constructor for class org.nd4j.linalg.heartbeat.Heartbeat

height - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

height - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

HEIGHT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Image

helperRegisterTransaction(int, long, long, MemcpyDirection) - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker

helpersAllowed() - Method in interface org.nd4j.linalg.factory.Environment

Returns true if helpers (cuDNN, DNNL/MKLDNN etc) are allowed

helperStartTransaction() - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker

HEURISTICS - org.tensorflow.framework.RewriterConfig.MemOptType

Use any combination of swapping and recomputation heuristics.

HEURISTICS_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.MemOptType

Use any combination of swapping and recomputation heuristics.

HEXAGON - org.tensorflow.framework.GraphTransferInfo.Destination

HEXAGON = 1;

HEXAGON_VALUE - Static variable in enum org.tensorflow.framework.GraphTransferInfo.Destination

HEXAGON = 1;

hgemm(char, char, char, int, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

HIDDEN - org.tensorflow.framework.ApiDef.Visibility

Hide this op by putting it into an internal namespace (or whatever is appropriate in the target language).

HIDDEN_VALUE - Static variable in enum org.tensorflow.framework.ApiDef.Visibility

Hide this op by putting it into an internal namespace (or whatever is appropriate in the target language).

hiddenDimension(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

HINGE - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

hingeLoss(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Hinge loss: a loss function used for training classifiers.
Implements L = max(0, 1 - t * predictions) where t is the label values after internally converting to {-1,1}
from the user specified {0,1}.

hingeLoss(String, SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Hinge loss: a loss function used for training classifiers.
Implements L = max(0, 1 - t * predictions) where t is the label values after internally converting to {-1,1}
from the user specified {0,1}.

hingeLoss(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Hinge loss: a loss function used for training classifiers.
Implements L = max(0, 1 - t * predictions) where t is the label values after internally converting to {-1,1}
from the user specified {0,1}.

hingeLoss(SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Hinge loss: a loss function used for training classifiers.
Implements L = max(0, 1 - t * predictions) where t is the label values after internally converting to {-1,1}
from the user specified {0,1}.

hingeLoss(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Hinge loss: a loss function used for training classifiers.
Implements L = max(0, 1 - t * predictions) where t is the label values after internally converting to {-1,1}
from the user specified {0,1}.

hingeLoss(INDArray, INDArray, INDArray, LossReduce) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Hinge loss: a loss function used for training classifiers.
Implements L = max(0, 1 - t * predictions) where t is the label values after internally converting to {-1,1}
from the user specified {0,1}.

HingeLoss - Class in org.nd4j.linalg.api.ops.impl.loss

HingeLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.HingeLoss

HingeLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.HingeLoss

HingeLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.HingeLoss

HingeLoss(INDArray, INDArray, INDArray, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.HingeLoss

HingeLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

HingeLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.HingeLossBp

HingeLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.HingeLossBp

HISTO - org.tensorflow.framework.Summary.Value.ValueCase

HISTO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value

Histogram - Class in org.nd4j.evaluation.curves

Histogram - Class in org.nd4j.linalg.api.ops.impl.transforms

Histogram() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Histogram

Histogram(String, double, double, int[]) - Constructor for class org.nd4j.evaluation.curves.Histogram

Histogram(INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Histogram

Histogram(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Histogram

HISTOGRAM - Static variable in class org.nd4j.graph.UIEventType

HistogramFixedWidth - Class in org.nd4j.linalg.api.ops.impl.transforms

HistogramFixedWidth() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.HistogramFixedWidth

HistogramFixedWidth(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.HistogramFixedWidth

HistogramProto - Class in org.tensorflow.framework

Serialization format for histogram module in core/lib/histogram/histogram.h

HistogramProto.Builder - Class in org.tensorflow.framework

Serialization format for histogram module in core/lib/histogram/histogram.h

HistogramProtoOrBuilder - Interface in org.tensorflow.framework

histograms(int, UIListener.HistogramType...) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

historicalGradient - Variable in class org.nd4j.linalg.learning.AdaGradUpdater

historicalGradient - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad

History - Class in org.nd4j.autodiff.listeners.records

History(List<EvaluationRecord>, List<EvaluationRecord>, LossCurve, long, List<Long>) - Constructor for class org.nd4j.autodiff.listeners.records.History

HistoryListener - Class in org.nd4j.autodiff.listeners.impl

HistoryListener(ListenerEvaluations) - Constructor for class org.nd4j.autodiff.listeners.impl.HistoryListener

HistoryListener(TrainingConfig) - Constructor for class org.nd4j.autodiff.listeners.impl.HistoryListener

HOST - org.nd4j.linalg.api.concurrency.AffinityManager.Location

HOST - org.nd4j.linalg.api.memory.enums.MemoryKind

HOST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebuggedSourceFile

HOST_FREE_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

HOST_MEMORY_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef

HOST_ONLY - org.nd4j.linalg.api.memory.enums.MirroringPolicy

HOST_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

HOST_TO_DEVICE - org.nd4j.linalg.api.memory.MemcpyDirection

HOST_TO_HOST - org.nd4j.linalg.api.memory.MemcpyDirection

HOST_TOTAL_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

hostMemory() - Method in class org.nd4j.graph.UIHardwareState

hostOffset - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

hstack(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Concatenates two matrices horizontally.

hstack(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

Concatenates two matrices horizontally.

hstack(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

Concatenates two matrices horizontally.

hstack(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Concatenates two matrices horizontally.

hsvToRgb(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting image from HSV to RGB format

hsvToRgb(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting image from HSV to RGB format

hsvToRgb(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDImage

Converting image from HSV to RGB format

HsvToRgb - Class in org.nd4j.linalg.api.ops.custom

HsvToRgb(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.HsvToRgb

HsvToRgb(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.HsvToRgb

huberLoss(String, SDVariable, SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Huber loss function, used for robust regression.

huberLoss(String, SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Huber loss function, used for robust regression.

huberLoss(SDVariable, SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Huber loss function, used for robust regression.

huberLoss(SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Huber loss function, used for robust regression.

huberLoss(INDArray, INDArray, INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Huber loss function, used for robust regression.

huberLoss(INDArray, INDArray, INDArray, LossReduce, double) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Huber loss function, used for robust regression.

HuberLoss - Class in org.nd4j.linalg.api.ops.impl.loss

HuberLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.HuberLoss

HuberLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.HuberLoss

HuberLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.HuberLoss

HuberLoss(INDArray, INDArray, INDArray, LossReduce, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.HuberLoss

HuberLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

HuberLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.HuberLossBp

HuberLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.HuberLossBp

I

i(int) - Method in class org.nd4j.graph.FlatProperties

I - org.nd4j.autodiff.listeners.profiler.data.Phase

I - org.tensorflow.framework.AttrValue.ValueCase

I_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

I_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

I_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

I_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue

IActivation - Interface in org.nd4j.linalg.activations

iamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

iamax(long, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1

Index of largest absolute value

iamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

iamax(long, INDArray, int) - Method in interface org.nd4j.linalg.api.blas.Level1

finds the element of a vector that has the largest absolute value.

iamax(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Index of the max absolute value: argmax(abs(in))
see argmax(String, INDArray, boolean, int...)

iamax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Index of the max absolute value: argmax(abs(in))
see argmax(String, INDArray, boolean, int...)

iamax(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Index of the max absolute value: argmax(abs(in))
see argmax(String, INDArray, boolean, int...)

iamax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Index of the max absolute value: argmax(abs(in))
see argmax(String, INDArray, boolean, int...)

iamax(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

finds the element of a vector that has the largest absolute value.

iamax(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

finds the element of a vector that has the largest absolute value.

iamax(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

iamax(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute index of element with largest absolute value (index of absolute value maximum)

iamax(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Index of the max absolute value: argmax(abs(in))
see argmax(String, INDArray, boolean, int...)

iamax(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Index of the max absolute value: argmax(abs(in))
see argmax(String, INDArray, boolean, int...)

iamin(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Index of the min absolute value: argmin(abs(in))
see argmin(String, INDArray, boolean, int...)

iamin(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Index of the min absolute value: argmin(abs(in))
see argmin(String, INDArray, boolean, int...)

iamin(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Index of the min absolute value: argmin(abs(in))
see argmin(String, INDArray, boolean, int...)

iamin(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Index of the min absolute value: argmin(abs(in))
see argmin(String, INDArray, boolean, int...)

iamin(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

finds the element of a vector that has the minimum absolute value.

iamin(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

finds the element of a vector that has the minimum absolute value.

iamin(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Index of the min absolute value: argmin(abs(in))
see argmin(String, INDArray, boolean, int...)

iamin(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Index of the min absolute value: argmin(abs(in))
see argmin(String, INDArray, boolean, int...)

IARG - org.nd4j.ir.MapperNamespace.OpListType

IARG = 1;

IARG_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.OpListType

IARG = 1;

iArgs() - Method in interface org.nd4j.linalg.api.ops.CustomOp

iArgs() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

iArgs(boolean) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMConfiguration

iArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

iAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties

id - Variable in class org.nd4j.autodiff.samediff.config.SDValue

id - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

id() - Method in class org.nd4j.graph.FlatConfiguration

id() - Method in class org.nd4j.graph.FlatDropRequest

id() - Method in class org.nd4j.graph.FlatGraph

id() - Method in class org.nd4j.graph.FlatInferenceRequest

id() - Method in class org.nd4j.graph.FlatNode

id() - Method in class org.nd4j.graph.FlatResult

id() - Method in class org.nd4j.graph.FlatTiming

id() - Method in class org.nd4j.graph.FlatVariable

id() - Method in class org.nd4j.graph.UIVariable

id() - Method in interface org.nd4j.linalg.dataset.api.DataSet

id() - Method in class org.nd4j.linalg.dataset.DataSet

id(IntPair) - Method in class org.nd4j.graph.FlatVariable

id(IntPair) - Method in class org.nd4j.graph.UIVariable

ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.Operation

idamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

idamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

identity(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Elementwise identity operation: out = x

identity(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Elementwise identity operation: out = x

identity(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Elementwise identity operation: out = x

identity(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

identity(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Identity function

Identity - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Identity - Class in org.nd4j.linalg.indexing.functions

Identity() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

Identity() - Constructor for class org.nd4j.linalg.indexing.functions.Identity

Identity(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

Identity(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

Identity(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

IDENTITY - org.nd4j.linalg.activations.Activation

IDENTITY - org.nd4j.weightinit.WeightInit

IdentityDependencyTracker<T,D> - Class in org.nd4j.autodiff.samediff.internal

IdentityDependencyTracker() - Constructor for class org.nd4j.autodiff.samediff.internal.IdentityDependencyTracker

IdentityFunctionOptimizations - Class in org.nd4j.autodiff.samediff.optimize.optimizations

IdentityFunctionOptimizations() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.IdentityFunctionOptimizations

IdentityFunctionOptimizations.RemoveIdentityOps - Class in org.nd4j.autodiff.samediff.optimize.optimizations

Remove identity(x)

IdentityFunctionOptimizations.RemoveIdentityPermute - Class in org.nd4j.autodiff.samediff.optimize.optimizations

Remove permute(0,1,2,...,rank-1) as this is a no-op

IdentityInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to one.

IdentityInitScheme(char) - Constructor for class org.nd4j.weightinit.impl.IdentityInitScheme

IdentityN - Class in org.nd4j.linalg.api.ops.impl.transforms

IdentityN() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

IdentityN(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

IdentityN(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

IDependeeGroup<T> - Interface in org.nd4j.autodiff.samediff.internal

IDependencyMap<T,D> - Interface in org.nd4j.autodiff.samediff.internal

IEvaluation<T extends IEvaluation> - Interface in org.nd4j.evaluation

ifCond(SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.ifCond(String, String, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda)

ifCond(String, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.ifCond(String, String, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda)

ifCond(String, String, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda) - Method in class org.nd4j.autodiff.samediff.SameDiff

Constructs a If statement using the tensorflow style control flow operations (Switch and Merge) If the result of cond is true, returns the result of trueBody, otherwise returns the result of falseBody Note that cond and body lambdas are only called once to construct the graph.

ifCond(SameDiff, String, String, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda, SameDiffNoArgSingleLambda) - Static method in class org.nd4j.autodiff.samediff.ControlFlow

Constructs a If statement using the tensorflow style control flow operations (Switch and Merge) If the result of cond is true, returns the result of trueBody, otherwise returns the result of falseBody Note that cond and body lambdas are only called once to construct the graph.

Igamma - Class in org.nd4j.linalg.api.ops.custom

Igamma(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Igamma

Igamma(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Igamma

Igamma(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Igamma

Igammac - Class in org.nd4j.linalg.api.ops.custom

Igammac(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Igammac

Igammac(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Igammac

Igammac(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Igammac

iInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatProperties

iLength() - Method in class org.nd4j.graph.FlatProperties

ILossFunction - Interface in org.nd4j.linalg.lossfunctions

im2col(INDArray, int[], int[], int[]) - Static method in class org.nd4j.linalg.convolution.Convolution

im2col(INDArray, int[], int[], int[]) - Static method in class org.nd4j.linalg.convolution.OldConvolution

im2col(INDArray, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution

Implement column formatted images

im2col(INDArray, int, int, int, int, int, int, boolean, INDArray) - Static method in class org.nd4j.linalg.convolution.Convolution

im2col(INDArray, int, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution

Implement column formatted images

im2col(INDArray, int, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.OldConvolution

Implement column formatted images

im2col(INDArray, int, int, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution

im2col(INDArray, int, int, int, int, int, int, int, int, boolean, INDArray) - Static method in class org.nd4j.linalg.convolution.Convolution

Execute im2col.

im2Col(String, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

im2col operation for use in 2D convolution operations.

im2Col(SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

im2col operation for use in 2D convolution operations.

im2Col(INDArray, Conv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

im2col operation for use in 2D convolution operations.

Im2col - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Im2col() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

Im2col(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

Im2col(SameDiff, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

Im2col(INDArray, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

Im2colBp - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Im2colBp() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp

Im2colBp(SameDiff, SDVariable, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp

Im2colBp(SameDiff, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp

image - Variable in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for image operations

image - Static variable in class org.nd4j.linalg.factory.Nd4j

Image namespace - operations related to images

image() - Method in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for image operations

image() - Static method in class org.nd4j.linalg.factory.Nd4j

Image namespace - operations related to images

IMAGE - org.tensorflow.framework.Summary.Value.ValueCase

IMAGE - Static variable in class org.nd4j.graph.UIEventType

IMAGE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value

IMAGE_MIN_MAX - org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

IMAGE_VGG16 - org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

ImageFlatteningDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor

ImageFlatteningDataSetPreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImageFlatteningDataSetPreProcessor

ImageMultiPreProcessingScaler - Class in org.nd4j.linalg.dataset.api.preprocessor

ImageMultiPreProcessingScaler(double, double, int[]) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

ImageMultiPreProcessingScaler(double, double, int, int[]) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

Preprocessor can take a range as minRange and maxRange

ImageMultiPreProcessingScaler(int...) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

ImagePreProcessingScaler - Class in org.nd4j.linalg.dataset.api.preprocessor

ImagePreProcessingScaler() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

ImagePreProcessingScaler(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

ImagePreProcessingScaler(double, double, int) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

Preprocessor can take a range as minRange and maxRange

ImagePreProcessingSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer

ImagePreProcessingSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.ImagePreProcessingSerializerStrategy

imageResize(String, SDVariable, SDVariable, boolean, boolean, ImageResizeMethod) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Resize images to size using the specified method.

imageResize(String, SDVariable, SDVariable, ImageResizeMethod) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Resize images to size using the specified method.

imageResize(SDVariable, SDVariable, boolean, boolean, ImageResizeMethod) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Resize images to size using the specified method.

imageResize(SDVariable, SDVariable, ImageResizeMethod) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Resize images to size using the specified method.

imageResize(INDArray, INDArray, boolean, boolean, ImageResizeMethod) - Method in class org.nd4j.linalg.factory.ops.NDImage

Resize images to size using the specified method.

imageResize(INDArray, INDArray, ImageResizeMethod) - Method in class org.nd4j.linalg.factory.ops.NDImage

Resize images to size using the specified method.

ImageResize - Class in org.nd4j.linalg.api.ops.impl.image

ImageResize(SameDiff, SDVariable, SDVariable, boolean, boolean, ImageResizeMethod) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ImageResize

ImageResize(SameDiff, SDVariable, SDVariable, double, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ImageResize

ImageResize(INDArray, INDArray, boolean, boolean, ImageResizeMethod) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ImageResize

ImageResize(INDArray, INDArray, double, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ImageResize

ImageResize(INDArray, INDArray, double, CoordinateTransformationMode, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ImageResize

ImageResize(INDArray, INDArray, CoordinateTransformationMode, NearestMode, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ImageResize

ImageResize(INDArray, INDArray, NearestMode, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ImageResize

ImageResizeMethod - Enum in org.nd4j.enums

ResizeBilinear: Bilinear interpolation.

IMetric - Interface in org.nd4j.evaluation

ImmortalFloatPointer - Class in org.nd4j.linalg.api.memory.pointers

ImmortalFloatPointer(PagedPointer) - Constructor for class org.nd4j.linalg.api.memory.pointers.ImmortalFloatPointer

IMPLICIT - org.nd4j.autodiff.execution.conf.OutputMode

only final nodes of graph will be returned

IMPLICIT - Static variable in class org.nd4j.graph.OutputMode

ImportClassMapping - Class in org.nd4j.imports.converters

ImportClassMapping() - Constructor for class org.nd4j.imports.converters.ImportClassMapping

importDataType - Variable in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead

importFrozenTF(File) - Static method in class org.nd4j.autodiff.samediff.SameDiff

Import a frozen Tensorflow graph to a new SameDiff graph.

importFrozenTF(InputStream) - Static method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.importFrozenTF(File)

importFrozenTF(GraphDef) - Static method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.importFrozenTF(File)

importGraph(File) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Import a frozen TensorFlow protobuf (.pb) file from the specified file

importGraph(File, Map<String, TFImportOverride>, TFOpImportFilter) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Import a frozen TensorFlow protobuf (.pb) file from the specified file, with optional overrides

importGraph(InputStream) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Import a frozen TensorFlow protobuf (.pb) file, via an input stream

importGraph(InputStream, Map<String, TFImportOverride>, TFOpImportFilter) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Import a frozen TensorFlow protobuf (.pb) file via an input stream, with optional overrides

importGraph(GraphDef) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Import a TensorFlow model from a GraphDef

importGraph(GraphDef, Map<String, TFImportOverride>, TFOpImportFilter) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Import a TensorFlow model from a GraphDef, with optional import overrides

importGraphTxt(InputStream, Map<String, TFImportOverride>, TFOpImportFilter) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Import a frozen TensorFlow protobuf file in text format (.pb.txt) file via an input stream, with optional overrides

IN_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

INCARNATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes

INCLUDE_PADDING - org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D.Divisor

inclusive - Variable in class org.nd4j.linalg.indexing.IntervalIndex

incrementCount() - Method in class org.nd4j.linalg.profiler.data.StackAggregator

incrementCount(long) - Method in class org.nd4j.linalg.profiler.data.StackAggregator

incrementCount(String) - Method in class org.nd4j.linalg.profiler.data.StringCounter

incrementEpochCount() - Method in class org.nd4j.autodiff.samediff.TrainingConfig

Increment the epoch count by 1

incrementFalseNegatives(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation

incrementFalsePositive(long) - Method in class org.nd4j.evaluation.classification.ROC.CountsForThreshold

incrementFalsePositives(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation

incrementIterationCount() - Method in class org.nd4j.autodiff.samediff.TrainingConfig

Increment the iteration count by 1

incrementTrueNegatives(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation

incrementTruePositive(long) - Method in class org.nd4j.evaluation.classification.ROC.CountsForThreshold

incrementTruePositives(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation

ind2sub(int[], long) - Static method in class org.nd4j.linalg.api.shape.Shape

Convert a linear index to the equivalent nd index.

ind2sub(int[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape

Convert a linear index to the equivalent nd index

ind2sub(long[], long) - Static method in class org.nd4j.linalg.api.shape.Shape

ind2sub(long[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape

ind2sub(INDArray, long) - Static method in class org.nd4j.linalg.api.shape.Shape

Convert a linear index to the equivalent nd index based on the shape of the specified ndarray.

ind2subC(int[], long) - Static method in class org.nd4j.linalg.api.shape.Shape

Convert a linear index to the equivalent nd index.

ind2subC(int[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape

Convert a linear index to the equivalent nd index

ind2subC(long[], long) - Static method in class org.nd4j.linalg.api.shape.Shape

ind2subC(long[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape

ind2subC(INDArray, long) - Static method in class org.nd4j.linalg.api.shape.Shape

Convert a linear index to the equivalent nd index based on the shape of the specified ndarray.

INDArray - Interface in org.nd4j.linalg.api.ndarray

INDArrayIndex - Interface in org.nd4j.linalg.indexing

INDArrayIterator - Class in org.nd4j.linalg.api.iter

INDArrayIterator(INDArray) - Constructor for class org.nd4j.linalg.api.iter.INDArrayIterator

INDArrayStatistics - Class in org.nd4j.linalg.api.ndarray

INDArrayStatistics() - Constructor for class org.nd4j.linalg.api.ndarray.INDArrayStatistics

index - Variable in enum org.nd4j.linalg.api.ops.impl.layers.convolution.config.PaddingMode

index - Variable in enum org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

index - Variable in class org.nd4j.linalg.indexing.IntervalIndex

INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorOutput

INDEX_REDUCE - Static variable in class org.nd4j.graph.OpType

IndexAccumulation - Interface in org.nd4j.linalg.api.ops

indexer - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

indexer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Returns the indexer for the buffer

indexer() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns the indexer for the buffer

indexesFor(long...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Add indexes for the given shape

IndexInfo - Class in org.nd4j.linalg.indexing

IndexInfo(INDArrayIndex...) - Constructor for class org.nd4j.linalg.indexing.IndexInfo

indexingArguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

indexOf(Object) - Method in class org.nd4j.list.BaseNDArrayList

indexOf(Object) - Method in class org.nd4j.list.NDArrayList

INDEXOVERRIDES_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MapperDeclaration

INDEXREDUCE - org.nd4j.linalg.api.ops.Op.Type

indexReduceClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

indices - Variable in class org.nd4j.linalg.api.ops.impl.shape.Gather

indices(long...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Returns an instance of SpecifiedIndex.

indices(INDArray...) - Static method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

Indices - Class in org.nd4j.linalg.indexing

Indexing util.

Indices() - Constructor for class org.nd4j.linalg.indexing.Indices

INDICES_FIELD_NUMBER - Static variable in class onnx.Onnx.SparseTensorProto

INDICES_FIELD_NUMBER - Static variable in class onnx.OnnxMl.SparseTensorProto

INDICES_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorInfo.CooSparse

InequalityHandling - Enum in org.nd4j.linalg.dataset.api.iterator.enums

INF_PANIC - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

INF_PANIC - Static variable in class org.nd4j.graph.ProfilingMode

INFER_SHAPES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphOptions

INFERENCE - org.nd4j.autodiff.listeners.Operation

Inference operations: SameDiff.output(), SameDiff.batchOutput() and SameDiff#exec(Map, String...) ()} methods, as well as SameDiff#execBackwards(Map, Operation, String...) methods.

INFERENCE - org.nd4j.linalg.api.ops.ExecutionMode

INFERENCE_FACTORY_CLASS - Static variable in class org.nd4j.autodiff.samediff.SameDiff

InferenceAdapter<I,O> - Interface in org.nd4j.adapters

InferenceFactory - Interface in org.nd4j.autodiff.samediff

InferenceSession - Class in org.nd4j.autodiff.samediff.internal

InferenceSession(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.internal.InferenceSession

InferenceSession.ConstantDep - Class in org.nd4j.autodiff.samediff.internal

InferenceSession.Dep - Class in org.nd4j.autodiff.samediff.internal

InferenceSession.ExecDoneDep - Class in org.nd4j.autodiff.samediff.internal

InferenceSession.OpDep - Class in org.nd4j.autodiff.samediff.internal

InferenceSession.PlaceholderDep - Class in org.nd4j.autodiff.samediff.internal

InferenceSession.ReqOutputDep - Class in org.nd4j.autodiff.samediff.internal

InferenceSession.VariableDep - Class in org.nd4j.autodiff.samediff.internal

inferenceVariables() - Method in class org.nd4j.autodiff.listeners.ListenerVariables

Get required inference variables

inferenceVariables(String...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for inference

inferenceVariables(SDVariable...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for inference

inferVersion() - Static method in class org.nd4j.systeminfo.SystemInfo

InFileAndMemoryDataSetCache - Class in org.nd4j.linalg.dataset.api.iterator.cache

InFileAndMemoryDataSetCache(File) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

InFileAndMemoryDataSetCache(String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

InFileAndMemoryDataSetCache(Path) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

InFileDataSetCache - Class in org.nd4j.linalg.dataset.api.iterator.cache

InFileDataSetCache(File) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

InFileDataSetCache(String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

InFileDataSetCache(Path) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

infoType() - Method in class org.nd4j.graph.UIStaticInfoRecord

INHERIT - Static variable in class org.nd4j.graph.DType

init() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

init() - Method in class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder

init(int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

init(long[], long[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

init(long, long) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

Initialize based on the specified begin and end

init(long, long) - Method in class org.nd4j.linalg.indexing.IntervalIndex

init(long, long) - Method in class org.nd4j.linalg.indexing.NDArrayIndex

init(long, long) - Method in class org.nd4j.linalg.indexing.NewAxis

init(long, long) - Method in class org.nd4j.linalg.indexing.PointIndex

init(long, long) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

init(long, long, long) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

init(long, long, long) - Method in class org.nd4j.linalg.indexing.IntervalIndex

init(long, long, long) - Method in class org.nd4j.linalg.indexing.NDArrayIndex

init(long, long, long) - Method in class org.nd4j.linalg.indexing.NewAxis

init(long, long, long) - Method in class org.nd4j.linalg.indexing.PointIndex

init(long, long, long) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

init(List<String>, List<String>, byte[], Map<String, INDArray>, Map<String, String>) - Method in interface org.nd4j.TFGraphRunnerService

init(INDArray, int) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

Init the index wrt the dimension and the given nd array

init(INDArray, int) - Method in class org.nd4j.linalg.indexing.IntervalIndex

init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndex

init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NewAxis

init(INDArray, int) - Method in class org.nd4j.linalg.indexing.PointIndex

init(INDArray, int) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

init(INDArray, long, int) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

Init the index wrt the dimension and the given nd array

init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.IntervalIndex

init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndex

init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexAll

init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NewAxis

init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.PointIndex

init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

initalizeWriter(SameDiff) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

initConfig(Conv2DConfig) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

initFrom(ArrayHolder) - Method in class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

initFrom(ArrayHolder) - Method in class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder

initFrom(ArrayHolder) - Method in class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder

initFrom(ArrayHolder) - Method in interface org.nd4j.autodiff.samediff.ArrayHolder

Initialize from the specified array holder.

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Iniitialize the function from the given Onnx.NodeProto

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.BaseOp

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.SetShape

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySplit

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.NoOp

initFromOnnx(Onnx.NodeProto, SameDiff, Map<String, Onnx.AttributeProto>, Onnx.GraphProto) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

initFromTensorFlow(List<SDVariable>, List<SDVariable>, NODE_TYPE, SameDiff, Map<String, ATTR_TYPE>, GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.OpImportOverride

Initialize the operation and return its output variables

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Initialize the function from the given NodeDef

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.BaseOp

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.custom.BitCast

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.custom.FusedBatchNorm

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.custom.LinearSolve

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.custom.Lu

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.custom.TriangularSolve

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Select

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.image.CropAndResize

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeNearestNeighbor

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlock

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Moments

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.reduce.NormalizeMoments

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scalar.Relu6

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Create

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesAs

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.SetShape

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ShapeN

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Size

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinCount

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.CheckNumerics

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cholesky

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InTopK

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.HistogramFixedWidth

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.NthElement

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pad

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.NoOp

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.persistence.RestoreV2

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.persistence.SaveV2

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomGamma

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomPoisson

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.random.impl.Range

initFunctionFromProperties(String, DifferentialFunction, Map<String, AttrValue>, NodeDef, GraphDef) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Deprecated.

To be removed

INITIAL_VALUE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef

initialBlockSize - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

INITIALIZATION_BINDING_FIELD_NUMBER - Static variable in class onnx.Onnx.TrainingInfoProto

INITIALIZATION_BINDING_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TrainingInfoProto

INITIALIZATION_FIELD_NUMBER - Static variable in class onnx.Onnx.TrainingInfoProto

INITIALIZATION_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TrainingInfoProto

initialize - Variable in class org.nd4j.linalg.api.ops.impl.shape.Create

initializeCurrFromList(List<DataSet>) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

Initializes this data transform fetcher from the passed in datasets

initialized - Variable in class org.nd4j.linalg.indexing.IntervalIndex

initialized() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

Returns true if this index has been initialized.

initialized() - Method in class org.nd4j.linalg.indexing.IntervalIndex

initialized() - Method in class org.nd4j.linalg.indexing.NewAxis

initialized() - Method in class org.nd4j.linalg.indexing.PointIndex

initialized() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

initializeHelper(SameDiff) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

initializeLoopBody(String[], SameDiff, int) - Static method in class org.nd4j.autodiff.samediff.ControlFlow

Initializes the loop variables with default parameters.

initializeLoopBody(String[], SameDiff, int, boolean) - Static method in class org.nd4j.autodiff.samediff.ControlFlow

Initializes the loop variables with default parameters.

INITIALIZER_FIELD_NUMBER - Static variable in class onnx.Onnx.GraphProto

INITIALIZER_FIELD_NUMBER - Static variable in class onnx.OnnxMl.GraphProto

INITIALIZER_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef

initializeTraining() - Method in class org.nd4j.autodiff.samediff.SameDiff

Perform setup for training.

initializeWorkspace() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method causes Workspace initialization

initializeWorkspace() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

initializeWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method causes Workspace initialization PLEASE NOTE: This call will have no effect on previously initialized Workspace

initialLossDataType(DataType) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the initial loss data type, defaults to DataType.FLOAT - when setting a data type for a loss function we need a beginning data type to compute the gradients.

initialSize - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

This variable specifies amount of memory allocated for this workspace during initialization

initSubgraph(Set<String>) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Initialize the subgraph - the subgraph and subgraphOps sets This works our what ops and variables we might need to execute to get the requested outputs.

initTypeAndSize() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Initialize the opType of this buffer

initTypeAndSize() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

Initialize the opType of this buffer

initWithBackend(Nd4jBackend) - Method in class org.nd4j.linalg.factory.Nd4j

Initialize with the specific backend

InMemoryDataSetCache - Class in org.nd4j.linalg.dataset.api.iterator.cache

InMemoryDataSetCache() - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache

inPlace - Variable in class org.nd4j.autodiff.functions.DifferentialFunction

inplaceAllowed - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

inplaceCall - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

inplaceCall - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

input() - Method in interface org.nd4j.linalg.api.ops.LossFunction

The true

input(int) - Method in class org.nd4j.graph.FlatNode

input(String, INDArray) - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Add a placeholder value for a specified variable

input(SDVariable, INDArray) - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

See BatchOutputConfig.input(String, INDArray)

INPUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

INPUT_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInfo

INPUT_FIELD_NUMBER - Static variable in class onnx.Onnx.FunctionProto

INPUT_FIELD_NUMBER - Static variable in class onnx.Onnx.GraphProto

INPUT_FIELD_NUMBER - Static variable in class onnx.Onnx.NodeProto

INPUT_FIELD_NUMBER - Static variable in class onnx.OnnxMl.FunctionProto

INPUT_FIELD_NUMBER - Static variable in class onnx.OnnxMl.GraphProto

INPUT_FIELD_NUMBER - Static variable in class onnx.OnnxMl.NodeProto

INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeDef

INPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

INPUT_TENSOR - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

INPUT_TENSOR = 6;

INPUT_TENSOR_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

INPUT_TENSOR = 6;

InputAdapter<I> - Interface in org.nd4j.adapters

INPUTARG - org.nd4j.ir.MapperNamespace.OpListType

INPUTARG = 4;

INPUTARG_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.OpListType

INPUTARG = 4;

inputArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

inputArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

inputArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

inputAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

INPUTBOOLEANNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

inputColumns - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

inputColumns() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

inputColumns() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Input columns for the dataset

inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

inputColumns() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

The length of a feature vector for an individual example

inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

Input columns for the dataset

inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

inputColumns() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Input columns for the dataset

inputColumns() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

inputColumns() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

inputColumns() - Method in class org.nd4j.linalg.dataset.ViewIterator

inputCount - Variable in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

INPUTDATATYPENAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

INPUTDOUBLENAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

INPUTFLOATNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

INPUTFRAMEWORKOPNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MapperDeclaration

INPUTFRAMEWORKOPNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

inputInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

INPUTINTNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

inputLength() - Method in class org.nd4j.graph.FlatNode

inputPaired(int) - Method in class org.nd4j.graph.FlatNode

inputPaired(IntPair, int) - Method in class org.nd4j.graph.FlatNode

inputPairedLength() - Method in class org.nd4j.graph.FlatNode

inputPairedVector() - Method in class org.nd4j.graph.FlatNode

inputPairedVector(IntPair.Vector) - Method in class org.nd4j.graph.FlatNode

inputs() - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns the inputs (placeholders) for the SameDiff graph

inputs() - Method in class org.nd4j.autodiff.samediff.transform.SubGraph

inputs(int) - Method in class org.nd4j.graph.UIGraphStructure

inputs(int) - Method in class org.nd4j.graph.UIOp

inputs(Map<String, INDArray>) - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Calls BatchOutputConfig.input(String, INDArray) on each entry in the map.

INPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SignatureDef

INPUTS_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.Operation

inputsForOp - Variable in class org.nd4j.autodiff.samediff.internal.Variable

inputsForOp(int) - Method in class org.nd4j.graph.UIVariable

inputsForOpLength() - Method in class org.nd4j.graph.UIVariable

inputsForOpVector() - Method in class org.nd4j.graph.UIVariable

inputsForOpVector(StringVector) - Method in class org.nd4j.graph.UIVariable

inputsLength() - Method in class org.nd4j.graph.UIGraphStructure

inputsLength() - Method in class org.nd4j.graph.UIOp

inputsPair(int) - Method in class org.nd4j.graph.UIGraphStructure

inputsPair(IntPair, int) - Method in class org.nd4j.graph.UIGraphStructure

inputsPairLength() - Method in class org.nd4j.graph.UIGraphStructure

inputsPairVector() - Method in class org.nd4j.graph.UIGraphStructure

inputsPairVector(IntPair.Vector) - Method in class org.nd4j.graph.UIGraphStructure

inputsToOp - Variable in class org.nd4j.autodiff.samediff.internal.SameDiffOp

INPUTSTRINGATTRNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

inputsVector() - Method in class org.nd4j.graph.UIGraphStructure

inputsVector() - Method in class org.nd4j.graph.UIOp

inputsVector(StringVector) - Method in class org.nd4j.graph.UIGraphStructure

inputsVector(StringVector) - Method in class org.nd4j.graph.UIOp

INPUTTENSORNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

INPUTTOOUTPUT_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

InputType - Class in org.nd4j.graph

INPUTVALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

inputVector() - Method in class org.nd4j.graph.FlatNode

inputVector(IntVector) - Method in class org.nd4j.graph.FlatNode

inspectArray(INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

inspectArray(INDArray) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

INSTANCE - Static variable in class org.nd4j.ir.OpDescriptorHolder

INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j

INSTANCE_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

INSTANCE_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceResponse

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.AdaBelief

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.AdaDelta

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.AdaGrad

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.Adam

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.AdaMax

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.AMSGrad

instantiate(Map<String, INDArray>, boolean) - Method in interface org.nd4j.linalg.learning.config.IUpdater

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.Nadam

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.Nesterovs

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.NoOp

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.RmsProp

instantiate(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.config.Sgd

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaBelief

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaDelta

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaGrad

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Adam

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaMax

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AMSGrad

instantiate(INDArray, boolean) - Method in interface org.nd4j.linalg.learning.config.IUpdater

Create a new gradient updater

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Nadam

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Nesterovs

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.NoOp

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.RmsProp

instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Sgd

inSubgraph(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.transform.SubGraph

INT - onnx.Onnx.AttributeProto.AttributeType

INT = 2;

INT - onnx.OnnxMl.AttributeProto.AttributeType

INT = 2;

INT - org.nd4j.linalg.api.buffer.DataType

Deprecated.

Replaced by DataType.INT32, use that instead

INT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

INT_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

INT = 2;

INT_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

INT = 2;

INT16 - onnx.Onnx.TensorProto.DataType

int16_t

INT16 - onnx.OnnxMl.TensorProto.DataType

int16_t

INT16 - org.nd4j.ir.TensorNamespace.DataType

int16_t

INT16 - org.nd4j.linalg.api.buffer.DataTypeEx

INT16 - org.nd4j.linalg.compression.CompressionAlgorithm

INT16 - Static variable in class org.nd4j.graph.DType

INT16 - Static variable in enum org.nd4j.linalg.api.buffer.DataType

INT16_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

int16_t

INT16_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

int16_t

INT16_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

int16_t

Int16TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int16TensorMapper

INT32 - onnx.Onnx.TensorProto.DataType

int32_t

INT32 - onnx.OnnxMl.TensorProto.DataType

int32_t

INT32 - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

INT32 = 2;

INT32 - org.nd4j.ir.TensorNamespace.DataType

int32_t

INT32 - Static variable in class org.nd4j.graph.DType

INT32 - Static variable in enum org.nd4j.linalg.api.buffer.DataType

INT32_DATA_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

INT32_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

INT32_DATA_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

INT32_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

int32_t

INT32_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

int32_t

INT32_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

INT32 = 2;

INT32_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

int32_t

Int32TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int32TensorMapper

INT32VALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

INT64 - onnx.Onnx.TensorProto.DataType

int64_t

INT64 - onnx.OnnxMl.TensorProto.DataType

int64_t

INT64 - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

INT64 = 3;

INT64 - org.nd4j.ir.TensorNamespace.DataType

int64_t

INT64 - Static variable in class org.nd4j.graph.DType

INT64 - Static variable in enum org.nd4j.linalg.api.buffer.DataType

INT64_DATA_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

INT64_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

INT64_DATA_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

INT64_LIST - org.tensorflow.framework.CollectionDef.KindCase

INT64_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef

INT64_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

INT64_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

int64_t

INT64_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

int64_t

INT64_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

INT64 = 3;

INT64_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

int64_t

Int64TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int64TensorMapper

INT64VALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

INT8 - onnx.Onnx.TensorProto.DataType

int8_t

INT8 - onnx.OnnxMl.TensorProto.DataType

int8_t

INT8 - org.nd4j.ir.TensorNamespace.DataType

int8_t

INT8 - org.nd4j.linalg.api.buffer.DataTypeEx

INT8 - org.nd4j.linalg.compression.CompressionAlgorithm

INT8 - Static variable in class org.nd4j.graph.DType

INT8 - Static variable in enum org.nd4j.linalg.api.buffer.DataType

INT8_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

int8_t

INT8_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

int8_t

INT8_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

int8_t

Int8TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int8TensorMapper

intArrayArguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

IntArrayIntIndexAdapter - Class in org.nd4j.imports.descriptors.properties.adapters

IntArrayIntIndexAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.IntArrayIntIndexAdapter

intBufferClass() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

INTER_OP_THREAD_POOL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunOptions

intercept(SDVariable) - Method in interface org.nd4j.autodiff.samediff.ArgumentInterceptor

interceptIntDataType(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

This method checks if any Op operand has data opType of INT, and throws exception if any.

InterconnectLink - Class in org.tensorflow.framework

Protobuf type tensorflow.InterconnectLink

InterconnectLink.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.InterconnectLink

InterconnectLinkOrBuilder - Interface in org.tensorflow.framework

INTERNAL - org.tensorflow.framework.Code

Internal errors.

INTERNAL_VALUE - Static variable in enum org.tensorflow.framework.Code

Internal errors.

internalCreateBuffer(double[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray

internalCreateBuffer(double[], long) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray

internalCreateBuffer(float[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray

internalCreateBuffer(float[], long) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray

internalCreateBuffer(int[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray

internalGetFieldAccessorTable() - Method in class onnx.Onnx.AttributeProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.AttributeProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.FunctionProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.FunctionProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.GraphProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.GraphProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.ModelProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.ModelProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.NodeProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.NodeProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.OperatorSetIdProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.SparseTensorProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.SparseTensorProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.StringStringEntryProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.StringStringEntryProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorAnnotation.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorAnnotation

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorProto.Segment.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorProto.Segment

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorShapeProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorShapeProto.Dimension

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TensorShapeProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TrainingInfoProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TrainingInfoProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.Map.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.Map

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.Optional.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.Optional

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.Sequence

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.SparseTensor

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.TypeProto.Tensor

internalGetFieldAccessorTable() - Method in class onnx.Onnx.ValueInfoProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.Onnx.ValueInfoProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.AttributeProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.AttributeProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.FunctionProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.FunctionProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.GraphProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.GraphProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.ModelProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.ModelProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.NodeProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.NodeProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.OperatorSetIdProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.SparseTensorProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.StringStringEntryProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorAnnotation

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorProto.Segment

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TensorShapeProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TrainingInfoProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Map

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Opaque

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Optional

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Sequence

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.TypeProto.Tensor

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxMl.ValueInfoProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxOperators.OperatorProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxOperators.OperatorProto

internalGetFieldAccessorTable() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

internalGetFieldAccessorTable() - Method in class onnx.OnnxOperators.OperatorSetProto

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

internalGetFieldAccessorTable() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CleanupAllRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CleanupAllResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CleanupGraphResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CloseSessionRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CloseSessionResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ClusterDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CreateSessionRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CreateSessionResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ExecutorOpts

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.GetStatusRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.GetStatusResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.JobDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.JobDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.LabeledStepStats

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ListDevicesRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ListDevicesResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.LoggingRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.LoggingResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.MakeCallableRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.MakeCallableResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RecvBufRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RecvBufResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RecvTensorRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RecvTensorResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ResetRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ResetResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ResetResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunCallableRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunCallableResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunGraphRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunGraphResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunStepRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.RunStepResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ServerDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.ServerDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.StepSequence.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.StepSequence

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.TraceOpts

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.TracingRequest

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.TracingResponse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.distruntime.TracingResponse

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocationDescription.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocationDescription

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocationRecord.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocationRecord

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Arg

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Attr

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Endpoint

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDefs.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDefs

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AssetFileDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AssetFileDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AttrValue.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AttrValue

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AttrValue.ListValue

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AutoParallelOptions

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CallableOptions.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CallableOptions

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.AnyList

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.BytesList

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.FloatList

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.Int64List

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CollectionDef.NodeList

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CondContextDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CondContextDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ConfigProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ConfigProto.Experimental

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ConfigProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ControlFlowContextDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CriticalSectionDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DebuggedSourceFile

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DebuggedSourceFiles

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DebugOptions.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DebugOptions

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DebugTensorWatch

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceAttributes

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceLocality.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceLocality

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceStepStats

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.FunctionDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.FunctionDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.FunctionDefLibrary

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GPUOptions.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GPUOptions.Experimental

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GPUOptions

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GradientDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GradientDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphOptions.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphOptions

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferNodeInput

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.HistogramProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.HistogramProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.InterconnectLink.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.InterconnectLink

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.KernelDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.KernelDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.LocalLinks.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.LocalLinks

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogStep

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryStats.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryStats

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MetaGraphDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NameAttrList.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NameAttrList

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NamedTensorProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeExecStats.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeExecStats

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeOutput.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeOutput

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.ArgDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.AttrDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDeprecation.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDeprecation

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpList.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpList

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OptimizerOptions

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.QueueRunnerDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ReaderBaseState

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ResourceHandleProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RewriterConfig.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RewriterConfig

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RPCOptions.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RPCOptions

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RunMetadata.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RunMetadata

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RunOptions.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RunOptions.Experimental

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RunOptions

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SavedModel.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SavedModel

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SaveSliceInfoDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SignatureDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SignatureDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.StepStats.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.StepStats

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Audio.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Audio

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Image.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Image

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Value.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Value

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryDescription.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryDescription

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryMetadata

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorConnection.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorConnection

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorDescription.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorDescription

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorInfo.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorInfo

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorShapeProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorSliceProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ValuesDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ValuesDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VariableDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VariableDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VariantTensorDataProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VersionDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VersionDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.WhileContextDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.WhileContextDef

internalGetFieldAccessorTable() - Method in class org.tensorflow.util.BundleEntryProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.util.BundleEntryProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.util.BundleHeaderProto

internalGetFieldAccessorTable() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.util.IteratorStateMetadata

internalGetFieldAccessorTable() - Method in class org.tensorflow.util.SaverDef.Builder

internalGetFieldAccessorTable() - Method in class org.tensorflow.util.SaverDef

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

internalGetFieldAccessorTable() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

internalGetFieldAccessorTable() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

internalGetFieldAccessorTable() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

internalGetFieldAccessorTable() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

internalGetFieldAccessorTable() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

internalGetMapField(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

internalGetMapField(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

internalGetMapField(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

internalGetMapField(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

internalGetMapField(int) - Method in class org.tensorflow.distruntime.JobDef.Builder

internalGetMapField(int) - Method in class org.tensorflow.distruntime.JobDef

internalGetMapField(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

internalGetMapField(int) - Method in class org.tensorflow.framework.ConfigProto

internalGetMapField(int) - Method in class org.tensorflow.framework.FunctionDef.Builder

internalGetMapField(int) - Method in class org.tensorflow.framework.FunctionDef

internalGetMapField(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

internalGetMapField(int) - Method in class org.tensorflow.framework.MetaGraphDef

internalGetMapField(int) - Method in class org.tensorflow.framework.NameAttrList.Builder

internalGetMapField(int) - Method in class org.tensorflow.framework.NameAttrList

internalGetMapField(int) - Method in class org.tensorflow.framework.NodeDef.Builder

internalGetMapField(int) - Method in class org.tensorflow.framework.NodeDef

internalGetMapField(int) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

internalGetMapField(int) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

internalGetMapField(int) - Method in class org.tensorflow.framework.SignatureDef.Builder

internalGetMapField(int) - Method in class org.tensorflow.framework.SignatureDef

internalGetMapField(int) - Method in class org.tensorflow.framework.ValuesDef.Builder

internalGetMapField(int) - Method in class org.tensorflow.framework.ValuesDef

internalGetMapField(int) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

internalGetMapField(int) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

internalGetMapField(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

internalGetMapField(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

internalGetMutableMapField(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

internalGetMutableMapField(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

internalGetMutableMapField(int) - Method in class org.tensorflow.distruntime.JobDef.Builder

internalGetMutableMapField(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

internalGetMutableMapField(int) - Method in class org.tensorflow.framework.FunctionDef.Builder

internalGetMutableMapField(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

internalGetMutableMapField(int) - Method in class org.tensorflow.framework.NameAttrList.Builder

internalGetMutableMapField(int) - Method in class org.tensorflow.framework.NodeDef.Builder

internalGetMutableMapField(int) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

internalGetMutableMapField(int) - Method in class org.tensorflow.framework.SignatureDef.Builder

internalGetMutableMapField(int) - Method in class org.tensorflow.framework.ValuesDef.Builder

internalGetMutableMapField(int) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

internalGetMutableMapField(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

internalGetValueMap() - Static method in enum onnx.Onnx.AttributeProto.AttributeType

internalGetValueMap() - Static method in enum onnx.Onnx.OperatorStatus

internalGetValueMap() - Static method in enum onnx.Onnx.TensorProto.DataLocation

internalGetValueMap() - Static method in enum onnx.Onnx.TensorProto.DataType

internalGetValueMap() - Static method in enum onnx.Onnx.Version

internalGetValueMap() - Static method in enum onnx.OnnxMl.AttributeProto.AttributeType

internalGetValueMap() - Static method in enum onnx.OnnxMl.OperatorStatus

internalGetValueMap() - Static method in enum onnx.OnnxMl.TensorProto.DataLocation

internalGetValueMap() - Static method in enum onnx.OnnxMl.TensorProto.DataType

internalGetValueMap() - Static method in enum onnx.OnnxMl.Version

internalGetValueMap() - Static method in enum org.nd4j.ir.MapperNamespace.OpListType

internalGetValueMap() - Static method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

internalGetValueMap() - Static method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

internalGetValueMap() - Static method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

internalGetValueMap() - Static method in enum org.nd4j.ir.TensorNamespace.DataType

internalGetValueMap() - Static method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

internalGetValueMap() - Static method in enum org.tensorflow.framework.ApiDef.Visibility

internalGetValueMap() - Static method in enum org.tensorflow.framework.Code

internalGetValueMap() - Static method in enum org.tensorflow.framework.DataType

internalGetValueMap() - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination

internalGetValueMap() - Static method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

internalGetValueMap() - Static method in enum org.tensorflow.framework.OptimizerOptions.Level

internalGetValueMap() - Static method in enum org.tensorflow.framework.RewriterConfig.MemOptType

internalGetValueMap() - Static method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

internalGetValueMap() - Static method in enum org.tensorflow.framework.RewriterConfig.Toggle

internalGetValueMap() - Static method in enum org.tensorflow.framework.RunOptions.TraceLevel

internalGetValueMap() - Static method in enum org.tensorflow.util.BundleHeaderProto.Endianness

internalGetValueMap() - Static method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

interval(int, int) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Generates an interval from begin (inclusive) to end (exclusive)

interval(int, int, int, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Generates an interval from begin (inclusive) to end (exclusive)

interval(long, long) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

interval(long, long, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Generates an interval from begin (inclusive) to end (exclusive)

interval(long, long, long) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Generates an interval from begin (inclusive) to end (exclusive)

interval(long, long, long, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

interval(long, long, long, long) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Generates an interval from begin (inclusive) to end (exclusive)

interval(long, long, long, long, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

interval(Integer, Integer) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements begin to end (think get row from beginning to end) Note these are static indices.

interval(Integer, Integer, Integer) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements begin to end (think get row from beginning to end) Note these are static indices.

interval(Long, Long) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements begin to end (think get row from beginning to end) Note these are static indices.

interval(Long, Long, Boolean) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements begin to end (think get row from beginning to end) Note these are static indices.

interval(Long, Long, Long) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements begin to end (think get row from beginning to end) Note these are static indices.

interval(Long, Long, Long, Boolean) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements begin to end (think get row from beginning to end) Note these are static indices.

interval(SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements begin to end (think get row from beginning to end) Note these are dynamic indices.

interval(SDVariable, SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements begin to end (think get row from beginning to end) Note these are static indices.

interval(SDVariable, SDVariable, SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements begin to end (think get row from beginning to end) Note these are static indices.

INTERVAL - org.nd4j.autodiff.samediff.SDIndex.IndexType

INTERVAL_INPUT - org.nd4j.autodiff.samediff.SDIndex.IndexType

INTERVAL_TYPE - Static variable in class org.nd4j.linalg.api.ops.impl.shape.CreateView

intervalBoundaries - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

IntervalIndex - Class in org.nd4j.linalg.indexing

And indexing representing an interval.

IntervalIndex(boolean, long) - Constructor for class org.nd4j.linalg.indexing.IntervalIndex

intervals - Variable in class org.nd4j.linalg.api.memory.BasicMemoryManager

intervalTail - Static variable in class org.nd4j.linalg.api.memory.BasicMemoryManager

InTopK - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

InTopK() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.InTopK

InTopK(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.InTopK

IntPair - Class in org.nd4j.graph

IntPair() - Constructor for class org.nd4j.graph.IntPair

IntPair.Vector - Class in org.nd4j.graph

INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

INTS - onnx.Onnx.AttributeProto.AttributeType

INTS = 7;

INTS - onnx.OnnxMl.AttributeProto.AttributeType

INTS = 7;

INTS_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

INTS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

INTS_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

INTS = 7;

INTS_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

INTS = 7;

IntTriple - Class in org.nd4j.graph

IntTriple() - Constructor for class org.nd4j.graph.IntTriple

IntTriple.Vector - Class in org.nd4j.graph

INVALID_ARGUMENT - org.tensorflow.framework.Code

Client specified an invalid argument.

INVALID_ARGUMENT_VALUE - Static variable in enum org.tensorflow.framework.Code

Client specified an invalid argument.

inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

Computes the quantile function of this distribution.

inverseCumulativeProbability(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Computes the quantile function of this distribution.

inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Computes the quantile function of this distribution.

inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Computes the quantile function of this distribution.

inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Computes the quantile function of this distribution.

inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Computes the quantile function of this distribution.

inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Computes the quantile function of this distribution.

inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

InverseSchedule - Class in org.nd4j.linalg.schedule

InverseSchedule(ScheduleType, double, double, double) - Constructor for class org.nd4j.linalg.schedule.InverseSchedule

invert(INDArray, boolean) - Static method in class org.nd4j.linalg.inverse.InvertMatrix

Inverts a matrix

InvertedPredicateMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta

InvertedPredicateMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

InvertedPredicateMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

InvertedPredicateMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

InvertedPredicateMetaOp(Op, Op) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

InvertedPredicateMetaOp(ScalarOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

InvertedPredicateMetaOp(ScalarOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

InvertedPredicateMetaOp(TransformOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

InvertedPredicateMetaOp(TransformOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

InvertMatrix - Class in org.nd4j.linalg.inverse

InvertMatrix() - Constructor for class org.nd4j.linalg.inverse.InvertMatrix

invertPermutation(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Compute the inverse permutation indices for a permutation operation
Example: if input is [2, 0, 1] then output is [1, 2, 0]
The idea is that x.permute(input).permute(invertPermutation(input)) == x

invertPermutation(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Compute the inverse permutation indices for a permutation operation
Example: if input is [2, 0, 1] then output is [1, 2, 0]
The idea is that x.permute(input).permute(invertPermutation(input)) == x

invertPermutation(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Compute the inverse permutation indices for a permutation operation
Example: if input is [2, 0, 1] then output is [1, 2, 0]
The idea is that x.permute(input).permute(invertPermutation(input)) == x

InvertPermutation - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Inverse of index permutation.

InvertPermutation(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

InvertPermutation(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

InvertPermutation(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

InvertPermutation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

invoke(String[], Invoke.InvokeParams) - Method in class org.nd4j.autodiff.samediff.SameDiff

Invoke a sub graph and return the outputs aliased as outputs specified in the parent graph.

invoke(Invoke.InvokeParams) - Method in class org.nd4j.autodiff.samediff.SameDiff

Invoke a sub graph and return the outputs aliased as outputs specified in the parent graph.

invoke(Op) - Method in interface org.nd4j.linalg.profiler.OpProfiler.OpProfilerListener

Invoke - Class in org.nd4j.linalg.api.ops.custom

Invoke is an op

Invoke() - Constructor for class org.nd4j.linalg.api.ops.custom.Invoke

Invoke(SameDiff, Invoke.InvokeParams) - Constructor for class org.nd4j.linalg.api.ops.custom.Invoke

Invoke.InvokeParams - Class in org.nd4j.linalg.api.ops.custom

invokeFunctionOn(String, SameDiff) - Method in class org.nd4j.autodiff.samediff.SameDiff

invokeGc() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

invokeGc() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method calls for GC.

invokeGcOccasionally() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

invokeGcOccasionally() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method calls for GC, and if frequency is met - System.gc() will be called

invokeGraphOn(SameDiff) - Method in class org.nd4j.autodiff.samediff.SameDiff

invokeParams(String, String[], String[]) - Method in class org.nd4j.autodiff.samediff.ControlFlow.LoopLambdaArgs

Construct Invoke.InvokeParams for usage with SameDiff.invoke(Invoke.InvokeParams) the variables here reflect what is used in the loop.

InvokeParams() - Constructor for class org.nd4j.linalg.api.ops.custom.Invoke.InvokeParams

IR_BUILD_METADATA_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorSetProto

IR_VERSION - onnx.Onnx.Version

IR VERSION 8 published on <TBD> Introduce TypeProto.SparseTensor Introduce TypeProto.Optional Added a list of FunctionProtos local to the model Deprecated since_version and operator status from FunctionProto

IR_VERSION - onnx.OnnxMl.Version

IR VERSION 8 published on <TBD> Introduce TypeProto.SparseTensor Introduce TypeProto.Optional Added a list of FunctionProtos local to the model Deprecated since_version and operator status from FunctionProto

IR_VERSION_2017_10_10 - onnx.Onnx.Version

The version field is always serialized and we will use it to store the version that the graph is generated from.

IR_VERSION_2017_10_10 - onnx.OnnxMl.Version

The version field is always serialized and we will use it to store the version that the graph is generated from.

IR_VERSION_2017_10_10_VALUE - Static variable in enum onnx.Onnx.Version

The version field is always serialized and we will use it to store the version that the graph is generated from.

IR_VERSION_2017_10_10_VALUE - Static variable in enum onnx.OnnxMl.Version

The version field is always serialized and we will use it to store the version that the graph is generated from.

IR_VERSION_2017_10_30 - onnx.Onnx.Version

IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users

IR_VERSION_2017_10_30 - onnx.OnnxMl.Version

IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users

IR_VERSION_2017_10_30_VALUE - Static variable in enum onnx.Onnx.Version

IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users

IR_VERSION_2017_10_30_VALUE - Static variable in enum onnx.OnnxMl.Version

IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users

IR_VERSION_2017_11_3 - onnx.Onnx.Version

IR VERSION 3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProto

IR_VERSION_2017_11_3 - onnx.OnnxMl.Version

IR VERSION 3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProto

IR_VERSION_2017_11_3_VALUE - Static variable in enum onnx.Onnx.Version

IR VERSION 3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProto

IR_VERSION_2017_11_3_VALUE - Static variable in enum onnx.OnnxMl.Version

IR VERSION 3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProto

IR_VERSION_2019_1_22 - onnx.Onnx.Version

IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16

IR_VERSION_2019_1_22 - onnx.OnnxMl.Version

IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16

IR_VERSION_2019_1_22_VALUE - Static variable in enum onnx.Onnx.Version

IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16

IR_VERSION_2019_1_22_VALUE - Static variable in enum onnx.OnnxMl.Version

IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16

IR_VERSION_2019_3_18 - onnx.Onnx.Version

IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.

IR_VERSION_2019_3_18 - onnx.OnnxMl.Version

IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.

IR_VERSION_2019_3_18_VALUE - Static variable in enum onnx.Onnx.Version

IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.

IR_VERSION_2019_3_18_VALUE - Static variable in enum onnx.OnnxMl.Version

IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.

IR_VERSION_2019_9_19 - onnx.Onnx.Version

IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.

IR_VERSION_2019_9_19 - onnx.OnnxMl.Version

IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.

IR_VERSION_2019_9_19_VALUE - Static variable in enum onnx.Onnx.Version

IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.

IR_VERSION_2019_9_19_VALUE - Static variable in enum onnx.OnnxMl.Version

IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.

IR_VERSION_2020_5_8 - onnx.Onnx.Version

IR VERSION 7 published on May 8, 2020 - Add support to allow function body graph to rely on multiple external opreator sets.

IR_VERSION_2020_5_8 - onnx.OnnxMl.Version

IR VERSION 7 published on May 8, 2020 - Add support to allow function body graph to rely on multiple external opreator sets.

IR_VERSION_2020_5_8_VALUE - Static variable in enum onnx.Onnx.Version

IR VERSION 7 published on May 8, 2020 - Add support to allow function body graph to rely on multiple external opreator sets.

IR_VERSION_2020_5_8_VALUE - Static variable in enum onnx.OnnxMl.Version

IR VERSION 7 published on May 8, 2020 - Add support to allow function body graph to rely on multiple external opreator sets.

IR_VERSION_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

IR_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

IR_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorSetProto

IR_VERSION_PRERELEASE_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorSetProto

IR_VERSION_VALUE - Static variable in enum onnx.Onnx.Version

IR VERSION 8 published on <TBD> Introduce TypeProto.SparseTensor Introduce TypeProto.Optional Added a list of FunctionProtos local to the model Deprecated since_version and operator status from FunctionProto

IR_VERSION_VALUE - Static variable in enum onnx.OnnxMl.Version

IR VERSION 8 published on <TBD> Introduce TypeProto.SparseTensor Introduce TypeProto.Optional Added a list of FunctionProtos local to the model Deprecated since_version and operator status from FunctionProto

IS_AGGREGATE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

IS_COMMUTATIVE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

IS_DEAD_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufResponse

IS_DEAD_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorResponse

IS_FINAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

IS_FINITE - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

IS_INFINITE - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

IS_LAST_PARTIAL_RUN_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

IS_NAN - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

IS_PARTIAL_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

IS_REF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef

IS_RESOURCE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef

IS_SOURCE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

IS_STATEFUL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

isActive(Operation) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

isActive(Operation) - Method in class org.nd4j.autodiff.listeners.debugging.ArraySavingListener

isActive(Operation) - Method in class org.nd4j.autodiff.listeners.debugging.ControlflowListener

isActive(Operation) - Method in class org.nd4j.autodiff.listeners.debugging.ExecDebuggingListener

isActive(Operation) - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener

isActive(Operation) - Method in class org.nd4j.autodiff.listeners.impl.HistoryListener

isActive(Operation) - Method in class org.nd4j.autodiff.listeners.impl.ScoreListener

isActive(Operation) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

isActive(Operation) - Method in interface org.nd4j.autodiff.listeners.Listener

Returns whether this listener is active during the given operation.

isActive(Operation) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener

isActive(Operation) - Method in class org.nd4j.autodiff.validation.ActivationGradientCheckListener

isAllSatisfied(T) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

isamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

isamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

isArchiveFile(File) - Static method in class org.nd4j.imports.tensorflow.TensorFlowImportValidator

ISARRAY_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

isAttached() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

This method returns True, if this DataBuffer is attached to some workspace.

isAttached() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

This method returns True, if this DataBuffer is attached to some workspace.

isAttached() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isAttached() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns True, if this INDArray instance is attached to some Workspace.

isAvailable() - Method in class org.nd4j.linalg.factory.Nd4jBackend

Determines whether a given backend is available in the current environment.

isB() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isB() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks if this INDArray instance has boolean type

isB(DataType) - Static method in class org.nd4j.linalg.api.shape.Shape

isBiasCorrected() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

isBorrowed - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

ISchedule - Interface in org.nd4j.linalg.schedule

isColumnVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isColumnVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns true if the number of columns is 1

isColumnVectorOrScalar() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isColumnVectorOrScalar() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns true if the number of columns is 1

isColumnVectorShape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if the given shape is length 2 and the size at element 1 is 1

isColumnVectorShape(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if the given shape length is 2 and the size at element 1 is 1

isComplete(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache

Check is given namespace has complete cache of the data set

isComplete(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

isComplete(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

isComplete(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache

isComplex - Variable in class org.nd4j.linalg.api.ops.BaseReduceOp

isComplex - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

isComplexAccumulation() - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

isComplexAccumulation() - Method in interface org.nd4j.linalg.api.ops.ReduceOp

Deprecated.

isCompressed() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isCompressed() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Check if this array is compressed.

isConfigProperties() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Returns true if the fields for this class should be looked up from a configuration class.

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

isConstant - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

isConstant - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

isConstant() - Method in class org.nd4j.autodiff.samediff.SDVariable

isConstant() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

This method returns whether this DataBuffer is constant, or not.

isConstant() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

This method returns whether this DataBuffer is constant, or not.

isConstant(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns true if this vertex id is a constant variable or not
A constant variable is one where the array's variable is predefined and can not be changed.

isContiguous(int[], int) - Static method in class org.nd4j.linalg.indexing.Indices

Returns whether indices are contiguous by a certain amount or not

isContiguousInBuffer(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

Are the elements in the buffer contiguous for this NDArray?

isControlDep(String) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

isCPU() - Method in interface org.nd4j.linalg.factory.Environment

Return true if the backend is a CPU backend, or false otherwise

isCrossDeviceAccessSupported() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns TRUE if cross-device access is allowed on this system

isCrossDeviceAccessSupported() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

isCudaBackend - Static variable in class org.nd4j.autodiff.samediff.optimize.optimizations.CuDNNFunctionOptimizations

isDebug - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

isDebug() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

isDebug() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns true if debug mode is enabled, false otherwise

isDebug() - Method in interface org.nd4j.linalg.factory.Environment

Returns true if ND4J is set to debug mode

isDebugAndVerbose() - Method in interface org.nd4j.linalg.factory.Environment

Returns true if ND4J is set to debug and verbose mode

isDetectingLeaks() - Method in interface org.nd4j.linalg.factory.Environment

Returns true if ND4J is set to detecting leaks mode

isEmpty() - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations

isEmpty() - Method in class org.nd4j.autodiff.listeners.records.EvaluationRecord

isEmpty() - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

isEmpty() - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

isEmpty() - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

isEmpty() - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

isEmpty() - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

isEmpty() - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

isEmpty() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BaseTensorMapper

isEmpty() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isEmpty() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns true if this INDArray is special case: no-value INDArray

isEmpty() - Method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

isEmpty() - Method in interface org.nd4j.linalg.dataset.api.DataSet

isEmpty() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

isEmpty() - Method in class org.nd4j.linalg.dataset.DataSet

isEmpty() - Method in class org.nd4j.linalg.dataset.MultiDataSet

isEmpty() - Method in class org.nd4j.list.BaseNDArrayList

isEmpty() - Method in class org.nd4j.list.NDArrayList

isEmpty(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

isEmptyReduce - Variable in class org.nd4j.linalg.api.ops.BaseReduceOp

isEmptyReduce - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

isExperimentalMode() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

isExperimentalMode() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

isExperimentalMode() - Static method in class org.nd4j.linalg.factory.Nd4j

isFallbackModeEnabled() - Static method in class org.nd4j.linalg.factory.Nd4j

This method checks, if fallback mode was enabled.

isFinite() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is finite

isFinite(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is finite operation: elementwise isFinite(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

isFinite(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is finite operation: elementwise isFinite(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

isFinite(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Is finite operation: elementwise isFinite(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

IsFinite - Class in org.nd4j.linalg.api.ops.impl.transforms.bool

IsFinite - Class in org.nd4j.linalg.indexing.conditions

IsFinite() - Constructor for class org.nd4j.linalg.indexing.conditions.IsFinite

IsFinite(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsFinite

IsFinite(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsFinite

IsFinite(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsFinite

IsFinite(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsFinite

isFit() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

isFit() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

isFit() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractNormalizer

isFit() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

isFitLabel() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Whether normalization for the labels is also enabled.

isFitLabel() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Whether normalization for the labels is also enabled.

isFitLabel() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Whether normalization for the labels is also enabled.

isFitLabel() - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

isFitLabel() - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

isFPType() - Method in enum org.nd4j.linalg.api.buffer.DataType

isFull() - Method in class org.nd4j.linalg.api.ops.aggregates.Batch

This method checks, if number of batched aggregates equals to maximum possible value

IsInf - Class in org.nd4j.linalg.api.ops.impl.reduce.bool

IsInf - Class in org.nd4j.linalg.api.ops.impl.transforms.bool

IsInf() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsInf

IsInf(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsInf

IsInf(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsInf

IsInf(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsInf

IsInf(INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

IsInf(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

isInfinite() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isInfinite() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary NDArray with value true where this array's entries are infinite, or false where they are not infinite

isInfinite() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is infinite

isInfinite(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is infinite operation: elementwise isInfinite(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

isInfinite(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is infinite operation: elementwise isInfinite(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

isInfinite(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Is infinite operation: elementwise isInfinite(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

IsInfinite - Class in org.nd4j.linalg.indexing.conditions

IsInfinite() - Constructor for class org.nd4j.linalg.indexing.conditions.IsInfinite

isInit - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

isInitialized() - Method in class onnx.Onnx.AttributeProto.Builder

isInitialized() - Method in class onnx.Onnx.AttributeProto

isInitialized() - Method in class onnx.Onnx.FunctionProto.Builder

isInitialized() - Method in class onnx.Onnx.FunctionProto

isInitialized() - Method in class onnx.Onnx.GraphProto.Builder

isInitialized() - Method in class onnx.Onnx.GraphProto

isInitialized() - Method in class onnx.Onnx.ModelProto.Builder

isInitialized() - Method in class onnx.Onnx.ModelProto

isInitialized() - Method in class onnx.Onnx.NodeProto.Builder

isInitialized() - Method in class onnx.Onnx.NodeProto

isInitialized() - Method in class onnx.Onnx.OperatorSetIdProto.Builder

isInitialized() - Method in class onnx.Onnx.OperatorSetIdProto

isInitialized() - Method in class onnx.Onnx.SparseTensorProto.Builder

isInitialized() - Method in class onnx.Onnx.SparseTensorProto

isInitialized() - Method in class onnx.Onnx.StringStringEntryProto.Builder

isInitialized() - Method in class onnx.Onnx.StringStringEntryProto

isInitialized() - Method in class onnx.Onnx.TensorAnnotation.Builder

isInitialized() - Method in class onnx.Onnx.TensorAnnotation

isInitialized() - Method in class onnx.Onnx.TensorProto.Builder

isInitialized() - Method in class onnx.Onnx.TensorProto

isInitialized() - Method in class onnx.Onnx.TensorProto.Segment.Builder

isInitialized() - Method in class onnx.Onnx.TensorProto.Segment

isInitialized() - Method in class onnx.Onnx.TensorShapeProto.Builder

isInitialized() - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

isInitialized() - Method in class onnx.Onnx.TensorShapeProto.Dimension

isInitialized() - Method in class onnx.Onnx.TensorShapeProto

isInitialized() - Method in class onnx.Onnx.TrainingInfoProto.Builder

isInitialized() - Method in class onnx.Onnx.TrainingInfoProto

isInitialized() - Method in class onnx.Onnx.TypeProto.Builder

isInitialized() - Method in class onnx.Onnx.TypeProto

isInitialized() - Method in class onnx.Onnx.TypeProto.Map.Builder

isInitialized() - Method in class onnx.Onnx.TypeProto.Map

isInitialized() - Method in class onnx.Onnx.TypeProto.Optional.Builder

isInitialized() - Method in class onnx.Onnx.TypeProto.Optional

isInitialized() - Method in class onnx.Onnx.TypeProto.Sequence.Builder

isInitialized() - Method in class onnx.Onnx.TypeProto.Sequence

isInitialized() - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

isInitialized() - Method in class onnx.Onnx.TypeProto.SparseTensor

isInitialized() - Method in class onnx.Onnx.TypeProto.Tensor.Builder

isInitialized() - Method in class onnx.Onnx.TypeProto.Tensor

isInitialized() - Method in class onnx.Onnx.ValueInfoProto.Builder

isInitialized() - Method in class onnx.Onnx.ValueInfoProto

isInitialized() - Method in class onnx.OnnxMl.AttributeProto.Builder

isInitialized() - Method in class onnx.OnnxMl.AttributeProto

isInitialized() - Method in class onnx.OnnxMl.FunctionProto.Builder

isInitialized() - Method in class onnx.OnnxMl.FunctionProto

isInitialized() - Method in class onnx.OnnxMl.GraphProto.Builder

isInitialized() - Method in class onnx.OnnxMl.GraphProto

isInitialized() - Method in class onnx.OnnxMl.ModelProto.Builder

isInitialized() - Method in class onnx.OnnxMl.ModelProto

isInitialized() - Method in class onnx.OnnxMl.NodeProto.Builder

isInitialized() - Method in class onnx.OnnxMl.NodeProto

isInitialized() - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

isInitialized() - Method in class onnx.OnnxMl.OperatorSetIdProto

isInitialized() - Method in class onnx.OnnxMl.SparseTensorProto.Builder

isInitialized() - Method in class onnx.OnnxMl.SparseTensorProto

isInitialized() - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

isInitialized() - Method in class onnx.OnnxMl.StringStringEntryProto

isInitialized() - Method in class onnx.OnnxMl.TensorAnnotation.Builder

isInitialized() - Method in class onnx.OnnxMl.TensorAnnotation

isInitialized() - Method in class onnx.OnnxMl.TensorProto.Builder

isInitialized() - Method in class onnx.OnnxMl.TensorProto

isInitialized() - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

isInitialized() - Method in class onnx.OnnxMl.TensorProto.Segment

isInitialized() - Method in class onnx.OnnxMl.TensorShapeProto.Builder

isInitialized() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

isInitialized() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

isInitialized() - Method in class onnx.OnnxMl.TensorShapeProto

isInitialized() - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

isInitialized() - Method in class onnx.OnnxMl.TrainingInfoProto

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Builder

isInitialized() - Method in class onnx.OnnxMl.TypeProto

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Map.Builder

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Map

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Opaque

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Optional

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Sequence

isInitialized() - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

isInitialized() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

isInitialized() - Method in class onnx.OnnxMl.TypeProto.Tensor

isInitialized() - Method in class onnx.OnnxMl.ValueInfoProto.Builder

isInitialized() - Method in class onnx.OnnxMl.ValueInfoProto

isInitialized() - Method in class onnx.OnnxOperators.OperatorProto.Builder

isInitialized() - Method in class onnx.OnnxOperators.OperatorProto

isInitialized() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

isInitialized() - Method in class onnx.OnnxOperators.OperatorSetProto

isInitialized() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

isInitialized() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

isInitialized() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

isInitialized() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

isInitialized() - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

isInitialized() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

isInitialized() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

isInitialized() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

isInitialized() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

isInitialized() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

isInitialized() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

isInitialized() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

isInitialized() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

isInitialized() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

isInitialized() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

isInitialized() - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CleanupAllRequest

isInitialized() - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CleanupAllResponse

isInitialized() - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

isInitialized() - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CleanupGraphResponse

isInitialized() - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CloseSessionRequest

isInitialized() - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CloseSessionResponse

isInitialized() - Method in class org.tensorflow.distruntime.ClusterDef.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ClusterDef

isInitialized() - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

isInitialized() - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

isInitialized() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

isInitialized() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

isInitialized() - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CreateSessionRequest

isInitialized() - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CreateSessionResponse

isInitialized() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

isInitialized() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

isInitialized() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

isInitialized() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

isInitialized() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

isInitialized() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

isInitialized() - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ExecutorOpts

isInitialized() - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

isInitialized() - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

isInitialized() - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.GetStatusRequest

isInitialized() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.GetStatusResponse

isInitialized() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

isInitialized() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

isInitialized() - Method in class org.tensorflow.distruntime.JobDef.Builder

isInitialized() - Method in class org.tensorflow.distruntime.JobDef

isInitialized() - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

isInitialized() - Method in class org.tensorflow.distruntime.LabeledStepStats

isInitialized() - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ListDevicesRequest

isInitialized() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ListDevicesResponse

isInitialized() - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.LoggingRequest

isInitialized() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.LoggingResponse

isInitialized() - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.MakeCallableRequest

isInitialized() - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.MakeCallableResponse

isInitialized() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

isInitialized() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

isInitialized() - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RecvBufRequest

isInitialized() - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RecvBufResponse

isInitialized() - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RecvTensorRequest

isInitialized() - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RecvTensorResponse

isInitialized() - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

isInitialized() - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

isInitialized() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

isInitialized() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

isInitialized() - Method in class org.tensorflow.distruntime.ResetRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ResetRequest

isInitialized() - Method in class org.tensorflow.distruntime.ResetResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ResetResponse

isInitialized() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RunCallableRequest

isInitialized() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RunCallableResponse

isInitialized() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RunGraphRequest

isInitialized() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RunGraphResponse

isInitialized() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RunStepRequest

isInitialized() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.RunStepResponse

isInitialized() - Method in class org.tensorflow.distruntime.ServerDef.Builder

isInitialized() - Method in class org.tensorflow.distruntime.ServerDef

isInitialized() - Method in class org.tensorflow.distruntime.StepSequence.Builder

isInitialized() - Method in class org.tensorflow.distruntime.StepSequence

isInitialized() - Method in class org.tensorflow.distruntime.TraceOpts.Builder

isInitialized() - Method in class org.tensorflow.distruntime.TraceOpts

isInitialized() - Method in class org.tensorflow.distruntime.TracingRequest.Builder

isInitialized() - Method in class org.tensorflow.distruntime.TracingRequest

isInitialized() - Method in class org.tensorflow.distruntime.TracingResponse.Builder

isInitialized() - Method in class org.tensorflow.distruntime.TracingResponse

isInitialized() - Method in class org.tensorflow.framework.AllocationDescription.Builder

isInitialized() - Method in class org.tensorflow.framework.AllocationDescription

isInitialized() - Method in class org.tensorflow.framework.AllocationRecord.Builder

isInitialized() - Method in class org.tensorflow.framework.AllocationRecord

isInitialized() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

isInitialized() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

isInitialized() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

isInitialized() - Method in class org.tensorflow.framework.ApiDef.Arg

isInitialized() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

isInitialized() - Method in class org.tensorflow.framework.ApiDef.Attr

isInitialized() - Method in class org.tensorflow.framework.ApiDef.Builder

isInitialized() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

isInitialized() - Method in class org.tensorflow.framework.ApiDef.Endpoint

isInitialized() - Method in class org.tensorflow.framework.ApiDef

isInitialized() - Method in class org.tensorflow.framework.ApiDefs.Builder

isInitialized() - Method in class org.tensorflow.framework.ApiDefs

isInitialized() - Method in class org.tensorflow.framework.AssetFileDef.Builder

isInitialized() - Method in class org.tensorflow.framework.AssetFileDef

isInitialized() - Method in class org.tensorflow.framework.AttrValue.Builder

isInitialized() - Method in class org.tensorflow.framework.AttrValue

isInitialized() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

isInitialized() - Method in class org.tensorflow.framework.AttrValue.ListValue

isInitialized() - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

isInitialized() - Method in class org.tensorflow.framework.AutoParallelOptions

isInitialized() - Method in class org.tensorflow.framework.CallableOptions.Builder

isInitialized() - Method in class org.tensorflow.framework.CallableOptions

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.AnyList

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.Builder

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.BytesList

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.FloatList

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.Int64List

isInitialized() - Method in class org.tensorflow.framework.CollectionDef

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

isInitialized() - Method in class org.tensorflow.framework.CollectionDef.NodeList

isInitialized() - Method in class org.tensorflow.framework.CondContextDef.Builder

isInitialized() - Method in class org.tensorflow.framework.CondContextDef

isInitialized() - Method in class org.tensorflow.framework.ConfigProto.Builder

isInitialized() - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

isInitialized() - Method in class org.tensorflow.framework.ConfigProto.Experimental

isInitialized() - Method in class org.tensorflow.framework.ConfigProto

isInitialized() - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

isInitialized() - Method in class org.tensorflow.framework.ControlFlowContextDef

isInitialized() - Method in class org.tensorflow.framework.CostGraphDef.Builder

isInitialized() - Method in class org.tensorflow.framework.CostGraphDef

isInitialized() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

isInitialized() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

isInitialized() - Method in class org.tensorflow.framework.CostGraphDef.Node

isInitialized() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

isInitialized() - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

isInitialized() - Method in class org.tensorflow.framework.CriticalSectionDef

isInitialized() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

isInitialized() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

isInitialized() - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

isInitialized() - Method in class org.tensorflow.framework.DebuggedSourceFile

isInitialized() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

isInitialized() - Method in class org.tensorflow.framework.DebuggedSourceFiles

isInitialized() - Method in class org.tensorflow.framework.DebugOptions.Builder

isInitialized() - Method in class org.tensorflow.framework.DebugOptions

isInitialized() - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

isInitialized() - Method in class org.tensorflow.framework.DebugTensorWatch

isInitialized() - Method in class org.tensorflow.framework.DeviceAttributes.Builder

isInitialized() - Method in class org.tensorflow.framework.DeviceAttributes

isInitialized() - Method in class org.tensorflow.framework.DeviceLocality.Builder

isInitialized() - Method in class org.tensorflow.framework.DeviceLocality

isInitialized() - Method in class org.tensorflow.framework.DeviceStepStats.Builder

isInitialized() - Method in class org.tensorflow.framework.DeviceStepStats

isInitialized() - Method in class org.tensorflow.framework.FunctionDef.Builder

isInitialized() - Method in class org.tensorflow.framework.FunctionDef

isInitialized() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

isInitialized() - Method in class org.tensorflow.framework.FunctionDefLibrary

isInitialized() - Method in class org.tensorflow.framework.GPUOptions.Builder

isInitialized() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

isInitialized() - Method in class org.tensorflow.framework.GPUOptions.Experimental

isInitialized() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

isInitialized() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

isInitialized() - Method in class org.tensorflow.framework.GPUOptions

isInitialized() - Method in class org.tensorflow.framework.GradientDef.Builder

isInitialized() - Method in class org.tensorflow.framework.GradientDef

isInitialized() - Method in class org.tensorflow.framework.GraphDef.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphDef

isInitialized() - Method in class org.tensorflow.framework.GraphOptions.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphOptions

isInitialized() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

isInitialized() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

isInitialized() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

isInitialized() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphTransferInfo

isInitialized() - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

isInitialized() - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphTransferNodeInput

isInitialized() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

isInitialized() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

isInitialized() - Method in class org.tensorflow.framework.HistogramProto.Builder

isInitialized() - Method in class org.tensorflow.framework.HistogramProto

isInitialized() - Method in class org.tensorflow.framework.InterconnectLink.Builder

isInitialized() - Method in class org.tensorflow.framework.InterconnectLink

isInitialized() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

isInitialized() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

isInitialized() - Method in class org.tensorflow.framework.KernelDef.Builder

isInitialized() - Method in class org.tensorflow.framework.KernelDef

isInitialized() - Method in class org.tensorflow.framework.LocalLinks.Builder

isInitialized() - Method in class org.tensorflow.framework.LocalLinks

isInitialized() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

isInitialized() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

isInitialized() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

isInitialized() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

isInitialized() - Method in class org.tensorflow.framework.MemoryLogStep.Builder

isInitialized() - Method in class org.tensorflow.framework.MemoryLogStep

isInitialized() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

isInitialized() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

isInitialized() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

isInitialized() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

isInitialized() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

isInitialized() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

isInitialized() - Method in class org.tensorflow.framework.MemoryStats.Builder

isInitialized() - Method in class org.tensorflow.framework.MemoryStats

isInitialized() - Method in class org.tensorflow.framework.MetaGraphDef.Builder

isInitialized() - Method in class org.tensorflow.framework.MetaGraphDef

isInitialized() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

isInitialized() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

isInitialized() - Method in class org.tensorflow.framework.NameAttrList.Builder

isInitialized() - Method in class org.tensorflow.framework.NameAttrList

isInitialized() - Method in class org.tensorflow.framework.NamedTensorProto.Builder

isInitialized() - Method in class org.tensorflow.framework.NamedTensorProto

isInitialized() - Method in class org.tensorflow.framework.NodeDef.Builder

isInitialized() - Method in class org.tensorflow.framework.NodeDef

isInitialized() - Method in class org.tensorflow.framework.NodeExecStats.Builder

isInitialized() - Method in class org.tensorflow.framework.NodeExecStats

isInitialized() - Method in class org.tensorflow.framework.NodeOutput.Builder

isInitialized() - Method in class org.tensorflow.framework.NodeOutput

isInitialized() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

isInitialized() - Method in class org.tensorflow.framework.OpDef.ArgDef

isInitialized() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

isInitialized() - Method in class org.tensorflow.framework.OpDef.AttrDef

isInitialized() - Method in class org.tensorflow.framework.OpDef.Builder

isInitialized() - Method in class org.tensorflow.framework.OpDef

isInitialized() - Method in class org.tensorflow.framework.OpDeprecation.Builder

isInitialized() - Method in class org.tensorflow.framework.OpDeprecation

isInitialized() - Method in class org.tensorflow.framework.OpList.Builder

isInitialized() - Method in class org.tensorflow.framework.OpList

isInitialized() - Method in class org.tensorflow.framework.OptimizerOptions.Builder

isInitialized() - Method in class org.tensorflow.framework.OptimizerOptions

isInitialized() - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

isInitialized() - Method in class org.tensorflow.framework.QueueRunnerDef

isInitialized() - Method in class org.tensorflow.framework.ReaderBaseState.Builder

isInitialized() - Method in class org.tensorflow.framework.ReaderBaseState

isInitialized() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

isInitialized() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

isInitialized() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

isInitialized() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

isInitialized() - Method in class org.tensorflow.framework.ResourceHandleProto

isInitialized() - Method in class org.tensorflow.framework.RewriterConfig.Builder

isInitialized() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

isInitialized() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

isInitialized() - Method in class org.tensorflow.framework.RewriterConfig

isInitialized() - Method in class org.tensorflow.framework.RPCOptions.Builder

isInitialized() - Method in class org.tensorflow.framework.RPCOptions

isInitialized() - Method in class org.tensorflow.framework.RunMetadata.Builder

isInitialized() - Method in class org.tensorflow.framework.RunMetadata

isInitialized() - Method in class org.tensorflow.framework.RunOptions.Builder

isInitialized() - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

isInitialized() - Method in class org.tensorflow.framework.RunOptions.Experimental

isInitialized() - Method in class org.tensorflow.framework.RunOptions

isInitialized() - Method in class org.tensorflow.framework.SavedModel.Builder

isInitialized() - Method in class org.tensorflow.framework.SavedModel

isInitialized() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

isInitialized() - Method in class org.tensorflow.framework.SaveSliceInfoDef

isInitialized() - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

isInitialized() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

isInitialized() - Method in class org.tensorflow.framework.SignatureDef.Builder

isInitialized() - Method in class org.tensorflow.framework.SignatureDef

isInitialized() - Method in class org.tensorflow.framework.StepStats.Builder

isInitialized() - Method in class org.tensorflow.framework.StepStats

isInitialized() - Method in class org.tensorflow.framework.Summary.Audio.Builder

isInitialized() - Method in class org.tensorflow.framework.Summary.Audio

isInitialized() - Method in class org.tensorflow.framework.Summary.Builder

isInitialized() - Method in class org.tensorflow.framework.Summary.Image.Builder

isInitialized() - Method in class org.tensorflow.framework.Summary.Image

isInitialized() - Method in class org.tensorflow.framework.Summary

isInitialized() - Method in class org.tensorflow.framework.Summary.Value.Builder

isInitialized() - Method in class org.tensorflow.framework.Summary.Value

isInitialized() - Method in class org.tensorflow.framework.SummaryDescription.Builder

isInitialized() - Method in class org.tensorflow.framework.SummaryDescription

isInitialized() - Method in class org.tensorflow.framework.SummaryMetadata.Builder

isInitialized() - Method in class org.tensorflow.framework.SummaryMetadata

isInitialized() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

isInitialized() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

isInitialized() - Method in class org.tensorflow.framework.TensorConnection.Builder

isInitialized() - Method in class org.tensorflow.framework.TensorConnection

isInitialized() - Method in class org.tensorflow.framework.TensorDescription.Builder

isInitialized() - Method in class org.tensorflow.framework.TensorDescription

isInitialized() - Method in class org.tensorflow.framework.TensorInfo.Builder

isInitialized() - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

isInitialized() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

isInitialized() - Method in class org.tensorflow.framework.TensorInfo

isInitialized() - Method in class org.tensorflow.framework.TensorProto.Builder

isInitialized() - Method in class org.tensorflow.framework.TensorProto

isInitialized() - Method in class org.tensorflow.framework.TensorShapeProto.Builder

isInitialized() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

isInitialized() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

isInitialized() - Method in class org.tensorflow.framework.TensorShapeProto

isInitialized() - Method in class org.tensorflow.framework.TensorSliceProto.Builder

isInitialized() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

isInitialized() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

isInitialized() - Method in class org.tensorflow.framework.TensorSliceProto

isInitialized() - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

isInitialized() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

isInitialized() - Method in class org.tensorflow.framework.ValuesDef.Builder

isInitialized() - Method in class org.tensorflow.framework.ValuesDef

isInitialized() - Method in class org.tensorflow.framework.VariableDef.Builder

isInitialized() - Method in class org.tensorflow.framework.VariableDef

isInitialized() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

isInitialized() - Method in class org.tensorflow.framework.VariantTensorDataProto

isInitialized() - Method in class org.tensorflow.framework.VersionDef.Builder

isInitialized() - Method in class org.tensorflow.framework.VersionDef

isInitialized() - Method in class org.tensorflow.framework.WhileContextDef.Builder

isInitialized() - Method in class org.tensorflow.framework.WhileContextDef

isInitialized() - Method in class org.tensorflow.util.BundleEntryProto.Builder

isInitialized() - Method in class org.tensorflow.util.BundleEntryProto

isInitialized() - Method in class org.tensorflow.util.BundleHeaderProto.Builder

isInitialized() - Method in class org.tensorflow.util.BundleHeaderProto

isInitialized() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

isInitialized() - Method in class org.tensorflow.util.IteratorStateMetadata

isInitialized() - Method in class org.tensorflow.util.SaverDef.Builder

isInitialized() - Method in class org.tensorflow.util.SaverDef

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

isInitialized() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

isInitialized() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

isInitialized() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

isInitialized() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

isInitialized() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

isInitialized() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

isInitialized() - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

isInitialized() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

isInPlace() - Method in class org.nd4j.linalg.api.ops.random.BaseRandomOp

isInplaceCall() - Method in interface org.nd4j.linalg.api.ops.CustomOp

This method returns true if op is supposed to be executed inplace

isInplaceCall() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.PowBp

isInScope() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

This method checks, if given attached INDArray is still in scope of its parent Workspace

isInScope() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

This method checks, if given attached INDArray is still in scope of its parent Workspace PLEASE NOTE: if this INDArray isn't attached to any Workspace, this method will return true

isInScope() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isInScope() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks, if given attached INDArray is still in scope of its parent Workspace PLEASE NOTE: if this INDArray isn't attached to any Workspace, this method will return true

isInterval() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

Returns true if the index is an interval

isInterval() - Method in class org.nd4j.linalg.indexing.IntervalIndex

isInterval() - Method in class org.nd4j.linalg.indexing.NewAxis

isInterval() - Method in class org.nd4j.linalg.indexing.PointIndex

isInterval() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

isIntType() - Method in enum org.nd4j.linalg.api.buffer.DataType

isKeepDims() - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

isKeepDims() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation

This method returns TRUE if we're going to keep axis, FALSE otherwise

isKeepDims() - Method in interface org.nd4j.linalg.api.ops.ReduceOp

This method returns TRUE if we're going to keep axis, FALSE otherwise

isLearning - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

isLegacy - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2

isMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns true if this ndarray is a matrix

isMatrix(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns whether the passed in shape is a matrix

isMatrix(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

isMatrix(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns whether the passed in shape is a matrix

isMatrix(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns whether the passed in shape is a matrix

isMax(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is maximum operation: elementwise x == max(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

isMax(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is maximum operation: elementwise x == max(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

isMax(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Is maximum operation: elementwise x == max(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

isMax(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

isMax(INDArray, DataType) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

isMax(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

IsMax - Class in org.nd4j.linalg.api.ops.impl.transforms.any

[1, 2, 3, 1] -> [0, 0, 1, 0]

IsMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

IsMax(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

IsMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

IsMax(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

IsMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

IsMax(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

isNan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is NaN

isNaN() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isNaN() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary NDArray with value true where this array's entries are NaN, or false where they are not infinite

isNaN(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is Not a Number operation: elementwise isNaN(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

isNaN(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is Not a Number operation: elementwise isNaN(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

isNaN(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Is Not a Number operation: elementwise isNaN(x)
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or
value 0 otherwise

IsNaN - Class in org.nd4j.linalg.api.ops.impl.reduce.bool

IsNaN - Class in org.nd4j.linalg.api.ops.impl.transforms.bool

IsNaN - Class in org.nd4j.linalg.indexing.conditions

IsNaN() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN() - Constructor for class org.nd4j.linalg.indexing.conditions.IsNaN

IsNaN(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsNaN

IsNaN(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsNaN

IsNaN(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsNaN

IsNaN(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.IsNaN

IsNaN(INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

IsNaN(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

isNCDHW() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig

isNCDHW(boolean) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig

isNHWC() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

isNHWC(boolean) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

isNonDecreasing(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is the array non decreasing?
An array is non-decreasing if for every valid i, x[i] <= x[i+1].

isNonDecreasing(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is the array non decreasing?
An array is non-decreasing if for every valid i, x[i] <= x[i+1].

isNonDecreasing(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Is the array non decreasing?
An array is non-decreasing if for every valid i, x[i] <= x[i+1].

IsNonDecreasing - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

IsNonDecreasing(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNonDecreasing

IsNonDecreasing(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNonDecreasing

IsNonDecreasing(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNonDecreasing

IsNonDecreasing(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNonDecreasing

IsNonDecreasing(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNonDecreasing

isNull() - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

isNumerical() - Method in enum org.nd4j.linalg.api.buffer.DataType

Return true if the value is numerical.
Equivalent to this != UTF8 && this != COMPRESSED && this != UNKNOWN
Note: Boolean values are considered numerical (0/1)

isNumericTensor(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Is the director a numeric tensor? In the current version of ND4J/SameDiff, this always returns true/1

isNumericTensor(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Is the director a numeric tensor? In the current version of ND4J/SameDiff, this always returns true/1

isNumericTensor(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Is the director a numeric tensor? In the current version of ND4J/SameDiff, this always returns true/1

IsNumericTensor - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

IsNumericTensor() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNumericTensor

IsNumericTensor(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNumericTensor

IsNumericTensor(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNumericTensor

IsNumericTensor(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNumericTensor

IsNumericTensor(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNumericTensor

isNWC() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig

isNWC(boolean) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig

ISOLATE_SESSION_STATE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateWorkerSessionRequest

ISOLATE_SESSION_STATE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

isOpen - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

isOver - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

isPeriodicGcActive() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

isPeriodicGcActive() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method returns true, if periodic GC is active.

isPerOutputMasking(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil

isPersist() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Deprecated.

isPersist() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Whether the buffer should be persistent.

isPlaceHolder() - Method in class org.nd4j.autodiff.samediff.SDVariable

Returns true if this variable is a placeholder

isPlaceHolder(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns true if this vertex id is a placeholder variable or not
A place holder variable is one where the array shape(s) are currently known and can't yet be calculated

isPlaceHolder(NodeDef) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Determine if the node is a placeholder

isPlaceholderShape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if any shape has a -1 or a null or empty array is passed in

isPlaceholderShape(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

isPrecisionBoostAllowed() - Static method in class org.nd4j.linalg.factory.Nd4j

isPreProcessed() - Method in class org.nd4j.linalg.dataset.DataSet

isProfiling() - Method in interface org.nd4j.linalg.factory.Environment

Returns true if ND4J is set to profiling mode

isR() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isR() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks if this INDArray instance is one of Real types

isR(DataType) - Static method in class org.nd4j.linalg.api.shape.Shape

isRowVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isRowVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns true if the number of rows is 1

isRowVectorOrScalar() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isRowVectorOrScalar() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns true if the number of rows is 1

isRowVectorShape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if the given shape is of length 1 or provided the shape length is 2: element 0 is 1

isRowVectorShape(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

isRowVectorShape(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if the given shape is of length 1 or provided the shape length is 2: element 0 is 1

isRowVectorShape(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if the given shape is of length 1 or provided the shape length is 2: element 0 is 1

isS() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isS() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks if this INDArray instance has String type

isS(DataType) - Static method in class org.nd4j.linalg.api.shape.Shape

isSameMode - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

isSameType(SDVariable[]) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

isSameType(SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

isSameType(INDArray[]) - Static method in class org.nd4j.linalg.factory.NDValidation

isSameType(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

isSatisfied(D) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

isScalar() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isScalar() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns true if this ndarray is a scalar

isScalar(INDArray, INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices

Check if the given indexes over the specified array are searching for a scalar

isScopeActive() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method returns True if scope was opened, and not closed yet.

isScopeActive() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method returns True if scope was opened, and not closed yet.

isScopeActive() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method returns True if scope was opened, and not closed yet.

isScopedOut(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

isScopedOut(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

isSigned() - Method in enum org.nd4j.linalg.api.buffer.DataType

isSparse() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isSparse() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Check if this array is sparse

isSquare() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isSquare() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns whether the matrix has the same rows and columns

isStrictlyIncreasing(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is the array strictly increasing?
An array is strictly increasing if for every valid i, x[i] < x[i+1].

isStrictlyIncreasing(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Is the array strictly increasing?
An array is strictly increasing if for every valid i, x[i] < x[i+1].

isStrictlyIncreasing(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Is the array strictly increasing?
An array is strictly increasing if for every valid i, x[i] < x[i+1].

IsStrictlyIncreasing - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

IsStrictlyIncreasing() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsStrictlyIncreasing

IsStrictlyIncreasing(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsStrictlyIncreasing

IsStrictlyIncreasing(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsStrictlyIncreasing

IsStrictlyIncreasing(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsStrictlyIncreasing

IsStrictlyIncreasing(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.IsStrictlyIncreasing

isSupportConnected() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Use this method to get information about whether the support is connected, i.e.

isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Use this method to get information about whether the support is connected, i.e.

isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Use this method to get information about whether the support is connected, i.e.

isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Use this method to get information about whether the support is connected, i.e.

isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Use this method to get information about whether the support is connected, i.e.

isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Use this method to get information about whether the support is connected, i.e.

isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Use this method to get information about whether the support is connected, i.e.

isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Use this method to get information about whether the support is connected, i.e.

isSupportLowerBoundInclusive() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Deprecated.

to be removed in 4.0

isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Whether or not the lower bound of support is in the domain of the density function.

isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Whether or not the lower bound of support is in the domain of the density function.

isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Whether or not the lower bound of support is in the domain of the density function.

isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Whether or not the lower bound of support is in the domain of the density function.

isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Whether or not the lower bound of support is in the domain of the density function.

isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Whether or not the lower bound of support is in the domain of the density function.

isSupportUpperBoundInclusive() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Deprecated.

to be removed in 4.0

isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Whether or not the upper bound of support is in the domain of the density function.

isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Whether or not the upper bound of support is in the domain of the density function.

isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Whether or not the upper bound of support is in the domain of the density function.

isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Whether or not the upper bound of support is in the domain of the density function.

isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Whether or not the upper bound of support is in the domain of the density function.

isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Whether or not the upper bound of support is in the domain of the density function.

isSymmetric - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad

isTrainingPhase() - Method in enum org.nd4j.autodiff.listeners.Operation

isTriggered() - Method in class org.nd4j.linalg.util.AtomicThrowable

This method returns TRUE if internal state holds error, FALSE otherwise

isTripleArgRngOp() - Method in class org.nd4j.linalg.api.ops.random.BaseRandomOp

isTripleArgRngOp() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

isTripleArgRngOp() - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

isTripleArgRngOp() - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

isTripleArgRngOp() - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

isUsed - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

isValid() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Deprecated.

isValidation() - Method in enum org.nd4j.autodiff.listeners.Operation

isVariableNode(NodeDef) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Determine if the node represents a variable node (based on op name)

isVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Checks whether the matrix is a vector.

isVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns true if this ndarray is a vector

isVector(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns whether the given shape is a vector

isVector(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

isVector(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns whether the given shape is a vector

isVector(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

isVector(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns whether the given shape is a vector

isVectorOrScalar() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isVectorOrScalar() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns true if this ndarray is a vector or scalar

isVerbose() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

isVerbose() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns true if verbose mode is enabled, false otherwise

isVerbose() - Method in interface org.nd4j.linalg.factory.Environment

Returns true if ND4J is set to verbose mode

isView() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isView() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Check if this array is a view or not.

isWholeArray(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if the dimension is null or the dimension length is 1 and the first entry is Integer.MAX_VALUE

isWholeArray(int, int...) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if the dimension is null or the dimension length is 1 and the first entry is Integer.MAX_VALUE

isWholeArray(long[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape

isWorkspaceOpen(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

isWorkspaceOpen(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Check if the workspace for the specified array type is open.

isZ() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

isZ() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks if this INDArray instance is one of integer types

isZ(DataType) - Static method in class org.nd4j.linalg.api.shape.Shape

ITEM_NOT_SET - tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase

itemAtIndex(SameDiff, SDVariable[]) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Returns the item at the specified index in the specified list.

itemAtIndex(SameDiff, SDVariable[], String) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Returns the item at the specified index in the specified list.

itemForSequence(String, int) - Method in class org.nd4j.autodiff.samediff.SameDiff

Get the INDArray at a particular sequence.

iter - Variable in class org.nd4j.autodiff.samediff.internal.InferenceSession.OpDep

iterate(int, int, int[], int[], int, int, int[], int[], CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape

Iterate over a pair of coordinates

iterate(int, int, int[], int[], CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape

Iterate over a pair of coordinates

iterate(int, int, long[], long[], int, int, long[], long[], CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape

iterate(int, int, long[], long[], CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape

iterate(INDArray, INDArray, CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape

Iterate over 2 coordinate spaces given 2 arrays

iterate(INDArray, CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape

Iterate over 2 coordinate spaces given 2 arrays

iterate(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.SpecifiedIndex

Iterate over a cross product of the coordinates

iterateOverSparse(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.SpecifiedIndex

Iterate over a cross product of the coordinates

iterateWithMiniBatches() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Deprecated.

iterateWithMiniBatches() - Method in class org.nd4j.linalg.dataset.DataSet

iteration() - Method in class org.nd4j.autodiff.listeners.At

iteration() - Method in class org.nd4j.graph.FrameIteration

iteration() - Method in class org.nd4j.graph.UIEvent

ITERATION - org.nd4j.linalg.schedule.ScheduleType

iterationDone(SameDiff, At, MultiDataSet, Loss) - Method in class org.nd4j.autodiff.listeners.BaseListener

iterationDone(SameDiff, At, MultiDataSet, Loss) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

iterationDone(SameDiff, At, MultiDataSet, Loss) - Method in class org.nd4j.autodiff.listeners.impl.ScoreListener

iterationDone(SameDiff, At, MultiDataSet, Loss) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

iterationDone(SameDiff, At, MultiDataSet, Loss) - Method in interface org.nd4j.autodiff.listeners.Listener

Called at the end of every iteration, after all operations (including updating parameters) has been completed

iterationDone(SameDiff, At, MultiDataSet, Loss) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener

iterationStart(SameDiff, At, MultiDataSet, long) - Method in class org.nd4j.autodiff.listeners.BaseListener

iterationStart(SameDiff, At, MultiDataSet, long) - Method in class org.nd4j.autodiff.listeners.impl.ScoreListener

iterationStart(SameDiff, At, MultiDataSet, long) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

iterationStart(SameDiff, At, MultiDataSet, long) - Method in interface org.nd4j.autodiff.listeners.Listener

Called at the start of every iteration (minibatch), before any operations have been executed

iterator() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

iterator() - Method in interface org.nd4j.linalg.dataset.api.DataSet

iterator() - Method in class org.nd4j.linalg.dataset.DataSet

iterator() - Method in class org.nd4j.list.BaseNDArrayList

iterator() - Method in class org.nd4j.list.NDArrayList

IteratorProtos - Class in org.tensorflow.util

IteratorStateMetadata - Class in org.tensorflow.util

Protocol buffer representing the metadata for an iterator's state stored as a Variant tensor.

IteratorStateMetadata.Builder - Class in org.tensorflow.util

Protocol buffer representing the metadata for an iterator's state stored as a Variant tensor.

IteratorStateMetadataOrBuilder - Interface in org.tensorflow.util

IUpdater - Interface in org.nd4j.linalg.learning.config

iVector() - Method in class org.nd4j.graph.FlatProperties

iVector(IntVector) - Method in class org.nd4j.graph.FlatProperties

J

jaccardDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

jaccardDistance(String, SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Jaccard similarity reduction operation.

jaccardDistance(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Jaccard similarity reduction operation.

jaccardDistance(SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Jaccard similarity reduction operation.

jaccardDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Jaccard similarity reduction operation.

jaccardDistance(INDArray, INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Jaccard similarity reduction operation.

jaccardDistance(INDArray, INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Jaccard similarity reduction operation.

JaccardDistance - Class in org.nd4j.linalg.api.ops.impl.reduce3

JaccardDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(SameDiff, SDVariable, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JaccardDistance(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

JAVACPP - org.nd4j.linalg.api.buffer.DataBuffer.AllocationMode

Deprecated.

javaShapeInformation - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo

javaThreadNum() - Method in class org.nd4j.autodiff.listeners.At

jaxis - Variable in class org.nd4j.linalg.api.ops.impl.shape.Gather

jaxis - Variable in class org.nd4j.linalg.api.ops.impl.shape.Stack

jaxis - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

jaxis - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

JOB_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ClusterDef

JOB_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ServerDef

JobDef - Class in org.tensorflow.distruntime

Defines a single job in a TensorFlow cluster.

JobDef.Builder - Class in org.tensorflow.distruntime

Defines a single job in a TensorFlow cluster.

JobDefOrBuilder - Interface in org.tensorflow.distruntime

johnsonLindenstraussMinDim(int[], double...) - Static method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

Find a safe number of components to project this to, through the Johnson-Lindenstrauss lemma The minimum number n' of components to guarantee the eps-embedding is given by: n' >= 4 log(n) / (eps² / 2 - eps³ / 3) see http://cseweb.ucsd.edu/~dasgupta/papers/jl.pdf §2.1

johnsonLindenstraussMinDim(long[], double...) - Static method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

johnsonLindenStraussMinDim(int, double...) - Static method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

johnsonLindenStraussMinDim(long, double...) - Static method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

joinDistinct(OpProfiler.PenaltyCause[], OpProfiler.PenaltyCause[]) - Method in class org.nd4j.linalg.profiler.OpProfiler

jsonMapper() - Static method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener

Get a new JSON mapper for use in serializing/deserializing JSON format

JsonMappers - Class in org.nd4j.serde.json

JsonMappers() - Constructor for class org.nd4j.serde.json.JsonMappers

jvmShapeInfo - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

JvmShapeInfo - Class in org.nd4j.linalg.api.ndarray

JvmShapeInfo(@lombok.NonNull long[]) - Constructor for class org.nd4j.linalg.api.ndarray.JvmShapeInfo

K

k - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

K - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

kCursor - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

KEEP_ALIVE_SECS_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

KEEP_CHECKPOINT_EVERY_N_HOURS_FIELD_NUMBER - Static variable in class org.tensorflow.util.SaverDef

keepAll() - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Keep all model checkpoints - i.e., don't delete any.

keepDims - Variable in class org.nd4j.linalg.api.ops.BaseIndexAccumulation

keepDims - Variable in class org.nd4j.linalg.api.ops.BaseReduceOp

keepDims - Variable in class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

keepDims - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

keepDims - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

keepLast(int) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Keep only the last N most recent model checkpoint files.

keepLastAndEvery(int, int) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Keep the last N most recent model checkpoint files, and every M checkpoint files.
For example: suppose you save every 100 iterations, for 2050 iteration, and use keepLastAndEvery(3,5).

KERAS_TRAIN_TEST - Static variable in class org.nd4j.autodiff.samediff.internal.InferenceSession

KERNEL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorAllocation

KERNEL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorOutput

KernelDef - Class in org.tensorflow.framework

Protobuf type tensorflow.KernelDef

KernelDef.AttrConstraint - Class in org.tensorflow.framework

Protobuf type tensorflow.KernelDef.AttrConstraint

KernelDef.AttrConstraint.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.KernelDef.AttrConstraint

KernelDef.AttrConstraintOrBuilder - Interface in org.tensorflow.framework

KernelDef.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.KernelDef

KernelDefOrBuilder - Interface in org.tensorflow.framework

KernelDefProtos - Class in org.tensorflow.framework

KEY_FIELD_NUMBER - Static variable in class onnx.Onnx.StringStringEntryProto

KEY_FIELD_NUMBER - Static variable in class onnx.OnnxMl.StringStringEntryProto

KEY_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.TransformerArgs

KEY_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

KEY_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto.Map

KEY_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.Map

KEYS_FIELD_NUMBER - Static variable in class org.tensorflow.util.IteratorStateMetadata

KFoldIterator - Class in org.nd4j.linalg.dataset.api.iterator

KFoldIterator(int, DataSet) - Constructor for class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

Create an iterator given the dataset with given k train-test splits N number of samples are split into k batches.

KFoldIterator(DataSet) - Constructor for class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

Create a k-fold cross-validation iterator given the dataset and k=10 train-test splits.

KIND_NOT_SET - org.tensorflow.framework.CollectionDef.KindCase

KL_DIVERGENCE - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

KnnMinDistance - Class in org.nd4j.linalg.api.ops.custom

KnnMinDistance() - Constructor for class org.nd4j.linalg.api.ops.custom.KnnMinDistance

KnnMinDistance(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.KnnMinDistance

L

l(int) - Method in class org.nd4j.graph.FlatProperties

L0 - org.tensorflow.framework.OptimizerOptions.Level

No optimizations

L0_VALUE - Static variable in enum org.tensorflow.framework.OptimizerOptions.Level

No optimizations

l1 - Variable in class org.nd4j.linalg.learning.regularization.L1Regularization

l1(double) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Sets the L1 regularization coefficient for all trainable parameters.

L1 - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

L1 - org.tensorflow.framework.OptimizerOptions.Level

L1 is the default level.

L1_CACHE_SIZE_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

L1_VALUE - Static variable in enum org.tensorflow.framework.OptimizerOptions.Level

L1 is the default level.

L1Regularization - Class in org.nd4j.linalg.learning.regularization

L1Regularization(double) - Constructor for class org.nd4j.linalg.learning.regularization.L1Regularization

L1Regularization(ISchedule) - Constructor for class org.nd4j.linalg.learning.regularization.L1Regularization

l2 - Variable in class org.nd4j.linalg.learning.regularization.L2Regularization

l2(double) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Sets the L2 regularization coefficient for all trainable parameters.

L2 - org.nd4j.autodiff.listeners.impl.UIListener.UpdateRatio

L2 - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

L2_CACHE_SIZE_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

l2Loss(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

L2 loss: 1/2 * sum(x^2)

l2Loss(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

L2 loss: 1/2 * sum(x^2)

l2Loss(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

L2 loss: 1/2 * sum(x^2)

L2Loss - Class in org.nd4j.linalg.api.ops.impl.loss

L2 loss op wrapper

L2Loss(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.L2Loss

L2Loss(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.L2Loss

L2Regularization - Class in org.nd4j.linalg.learning.regularization

L2Regularization(double) - Constructor for class org.nd4j.linalg.learning.regularization.L2Regularization

L2Regularization(ISchedule) - Constructor for class org.nd4j.linalg.learning.regularization.L2Regularization

L3_CACHE_SIZE_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

LABEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef

labelCounts() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Calculate and return a count of each label, by index.

labelCounts() - Method in class org.nd4j.linalg.dataset.DataSet

LabeledStepStats - Class in org.tensorflow.distruntime

Protobuf type tensorflow.LabeledStepStats

LabeledStepStats.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.LabeledStepStats

LabeledStepStatsOrBuilder - Interface in org.tensorflow.distruntime

labelIdx(String) - Method in class org.nd4j.autodiff.samediff.TrainingConfig

Get the index of the label array that the specified variable is associated with

labelIndex(String, int) - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

Set the label index for a parameter

labelIndex(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

See EvaluationConfig.labelIndex(String, int)

LabelLastTimeStepPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor

LabelLastTimeStepPreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.LabelLastTimeStepPreProcessor

labelsList - Variable in class org.nd4j.evaluation.classification.Evaluation

labelSmoothing - Variable in class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss

labelWidth(int) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder

Specifies the width of the labels vector which also corresponds to the width of the 'mean' vector for each of the gaussian functions.

lapack - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory

lapack() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

lapack() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

lapack() - Method in interface org.nd4j.linalg.factory.BlasWrapper

LAPack interface

lapack() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Lapack - Interface in org.nd4j.linalg.api.blas

larg() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The left argument for this function

lAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties

LAST_MODIFIED_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebuggedSourceFile

lastCheckpoint() - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

Return the most recent checkpoint, if one exists - otherwise returns null

lastCheckpoint(File) - Static method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

Return the most recent checkpoint, if one exists - otherwise returns null

lastCycleAllocations - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

lastDescriptor - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree

lastGcTime - Variable in class org.nd4j.linalg.api.memory.BasicMemoryManager

lastIndex(String, SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Last index reduction operation.
Returns a variable that contains the index of the last element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

lastIndex(String, SDVariable, Condition, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Last index reduction operation.
Returns a variable that contains the index of the last element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

lastIndex(SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Last index reduction operation.
Returns a variable that contains the index of the last element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

lastIndex(SDVariable, Condition, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Last index reduction operation.
Returns a variable that contains the index of the last element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

lastIndex(INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

This method returns last index matching given condition PLEASE NOTE: This method will return -1 value if condition wasn't met

lastIndex(INDArray, Condition, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Last index reduction operation.
Returns a variable that contains the index of the last element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

lastIndex(INDArray, Condition, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Last index reduction operation.
Returns a variable that contains the index of the last element that matches the specified condition (for each
slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

lastIndex(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

This method returns first index matching given condition along given dimensions PLEASE NOTE: This method will return -1 values for missing conditions

LastIndex - Class in org.nd4j.linalg.api.ops.impl.indexaccum

LastIndex(SameDiff, SDVariable, boolean, Condition, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

LastIndex(SameDiff, SDVariable, Condition, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

LastIndex(SameDiff, SDVariable, Condition, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

LastIndex(INDArray, boolean, Condition, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

LastIndex(INDArray, Condition, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

LastIndex(INDArray, Condition, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

LastIndex(INDArray, Condition, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

lastIndexOf(Object) - Method in class org.nd4j.list.BaseNDArrayList

lastIndexOf(Object) - Method in class org.nd4j.list.NDArrayList

lastMeanDelta() - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return the loss delta between the last epoch and the one before it.

lastMeanDelta(String) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return the loss delta between the last epoch and the one before it, for a given variable.

lastMeanDelta(SDVariable) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return the loss delta between the last epoch and the one before it, for a given variable.

lastMeanLoss() - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Get the mean loss for the last epoch.

lastMeanLoss(String) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return the mean loss value for a given variable on the last epoch.

lastMeanLoss(SDVariable) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return the mean loss value for a given variable on the last epoch.

lastSettledDevice - Variable in class org.nd4j.linalg.util.DeviceLocal

layerNorm(String, SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Apply Layer Normalization

y = gain * standardize(x) + bias

layerNorm(String, SDVariable, SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Apply Layer Normalization

y = gain * standardize(x) + bias

layerNorm(SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Apply Layer Normalization

y = gain * standardize(x) + bias

layerNorm(SDVariable, SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Apply Layer Normalization

y = gain * standardize(x) + bias

layerNorm(INDArray, INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDNN

Apply Layer Normalization

y = gain * standardize(x) + bias

layerNorm(INDArray, INDArray, INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDNN

Apply Layer Normalization

y = gain * standardize(x) + bias

LayerNorm - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LayerNorm(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

LayerNorm(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

LayerNorm(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

LayerNorm(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

LayerNorm(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

LayerNormBp - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LayerNormBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

LayerNormBp(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

LayerNormBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

LayerNormBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

LAYOUT_OPTIMIZER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

LE - Static variable in class org.nd4j.graph.ByteOrder

LEAKY_RELU - org.nd4j.enums.CellAct

LEAKY_RELU - org.nd4j.enums.GateAct

LEAKY_RELU - org.nd4j.enums.OutAct

LEAKY_RELU - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

leakyRelu(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise leaky ReLU function:
out = x if x >= 0.0
out = alpha * x if x < cutoff
Alpha value is most commonly set to 0.01

leakyRelu(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise leaky ReLU function:
out = x if x >= 0.0
out = alpha * x if x < cutoff
Alpha value is most commonly set to 0.01

leakyRelu(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

leakyRelu(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

leakyRelu(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise leaky ReLU function:
out = x if x >= 0.0
out = alpha * x if x < cutoff
Alpha value is most commonly set to 0.01

leakyRelu(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

leakyRelu(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

LeakyReLU - Class in org.nd4j.linalg.api.ops.impl.scalar

LeakyReLU() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

LeakyReLU(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

LeakyReLU(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

LeakyReLU(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

LeakyReLU(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

LeakyReLU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

LeakyReLU(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

LeakyReLU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

LeakyReLU(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

LEAKYRELU - org.nd4j.linalg.activations.Activation

LeakyReLUBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

LeakyReLUBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUBp

LeakyReLUBp(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUBp

LeakyReLUBp(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUBp

leakyReluDerivative(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Leaky ReLU derivative: dOut/dIn given input.

leakyReluDerivative(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Leaky ReLU derivative: dOut/dIn given input.

leakyReluDerivative(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDNN

Leaky ReLU derivative: dOut/dIn given input.

leakyReluDerivative(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

leakyReluDerivative(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

LeakyReLUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

LeakyReLUDerivative(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

LeakyReLUDerivative(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

LeakyReLUDerivative(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

LeakyReLUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

LeakyReLUDerivative(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

LeakyReLUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

LeakyReLUDerivative(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

LEARNING_RATE - org.nd4j.graph.ui.LogFileWriter.EventSubtype

LEARNING_RATE - Static variable in class org.nd4j.graph.UIEventSubtype

LearningPolicy - Enum in org.nd4j.linalg.api.memory.enums

learningRate - Variable in class org.nd4j.linalg.learning.AdaGradUpdater

learningRate - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad

learningRate(int) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

LECUN_NORMAL - org.nd4j.weightinit.WeightInit

LECUN_UNIFORM - org.nd4j.weightinit.WeightInit

LecunUniformInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: randn(shape) //N(0, 2/nIn);

LecunUniformInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.LecunUniformInitScheme

leftShift(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise left shift operation.

leftShift(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise left shift operation.

leftShift(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Bitwise left shift operation.

leftShiftCyclic(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise left cyclical shift operation.

leftShiftCyclic(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise left cyclical shift operation.

leftShiftCyclic(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Bitwise left cyclical shift operation.

LEGACY - org.tensorflow.util.SaverDef.CheckpointFormatVersion

Internal legacy format.

LEGACY_VALUE - Static variable in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

Internal legacy format.

LEGACY_XYZ - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

LEGACY_XYZ = 11;

LEGACY_XYZ_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

LEGACY_XYZ = 11;

LegacyIActivationDeserializer - Class in org.nd4j.serde.json

LegacyIActivationDeserializer() - Constructor for class org.nd4j.serde.json.LegacyIActivationDeserializer

LegacyIActivationDeserializerHelper - Class in org.nd4j.serde.json

LegacyILossFunctionDeserializer - Class in org.nd4j.serde.json

LegacyILossFunctionDeserializer() - Constructor for class org.nd4j.serde.json.LegacyILossFunctionDeserializer

LegacyILossFunctionDeserializerHelper - Class in org.nd4j.serde.json

LegacyOpMapper - Class in org.nd4j.autodiff.samediff.serde

length - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

length - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

length - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo

length - Variable in class org.nd4j.linalg.indexing.IntervalIndex

length() - Method in class org.nd4j.autodiff.samediff.SDVariable

Return the total number of elements in this array

length() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

length() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns the length of the buffer

length() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

length() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the total number of elements in the ndarray

length() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

length() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

The total length of this index (end - start)

length() - Method in class org.nd4j.linalg.indexing.IntervalIndex

length() - Method in class org.nd4j.linalg.indexing.NDArrayIndex

Returns the length of the indices

length() - Method in class org.nd4j.linalg.indexing.NewAxis

length() - Method in class org.nd4j.linalg.indexing.PointIndex

length() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

length(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

length(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

length(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Gets the rank given the shape info buffer

length(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

length(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Gets the rank given the shape info buffer

LENGTH - org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase

LENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorSliceProto.Extent

LENGTH_FRAMES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio

lengthForDtype(DataType) - Static method in class org.nd4j.linalg.api.buffer.util.DataTypeUtil

Returns the length for the given data opType

lengthOf(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

lengthOf(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

lengthOfBuffer(@lombok.NonNull int[], @lombok.NonNull int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Calculate the length of the buffer required to store the given shape with the given strides

lengthOfBuffer(@lombok.NonNull long[], @lombok.NonNull long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Calculate the length of the buffer required to store the given shape with the given strides

lengthPerSlice(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath

Return the length of a slice

lengthPerSlice(INDArray, int...) - Static method in class org.nd4j.linalg.util.NDArrayMath

The number of elements in a slice along a set of dimensions

LESS_THAN - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

LESS_THAN_OR_EQUAL - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

lessThan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is less than value Y PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

lessThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is less than value Y

LessThan - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LessThan - Class in org.nd4j.linalg.indexing.conditions

LessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

LessThan() - Constructor for class org.nd4j.linalg.indexing.conditions.LessThan

Special constructor for pairwise boolean operations.

LessThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.LessThan

LessThan(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

LessThan(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

LessThan(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

LessThan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

LessThan(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

lessThanOrEqual() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is less than or equal to value Y PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

lessThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is value X is less than or equal to value Y

lessThanOrEqual(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

1 if less than or equal to 0 otherwise (at each element)

lessThanOrEqual(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Eps function

LessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LessThanOrEqual - Class in org.nd4j.linalg.indexing.conditions

LessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

LessThanOrEqual() - Constructor for class org.nd4j.linalg.indexing.conditions.LessThanOrEqual

Special constructor for pairwise boolean operations.

LessThanOrEqual(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.LessThanOrEqual

LessThanOrEqual(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

LessThanOrEqual(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

LessThanOrEqual(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

LessThanOrEqual(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

LessThanOrEqual(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

level1 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory

level1() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

level1() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

level1() - Method in interface org.nd4j.linalg.factory.BlasWrapper

Return the level 1 functions for this blas impl

level1() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Return the level 1 blas operations

Level1 - Interface in org.nd4j.linalg.api.blas

level2 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory

level2() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

level2() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

level2() - Method in interface org.nd4j.linalg.factory.BlasWrapper

Return the level 2 functions for this blas impl

level2() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Return the level 2 blas operations

Level2 - Interface in org.nd4j.linalg.api.blas

level3 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory

level3() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

level3() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

level3() - Method in interface org.nd4j.linalg.factory.BlasWrapper

Return the level 3 functions for this blas impl

level3() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Return the level 3 blas operations

Level3 - Interface in org.nd4j.linalg.api.blas

leverage() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

leverage() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method detaches INDArray from current Workspace, and attaches it to Workspace above, if any.

leverageOrDetach(String) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

leverageOrDetach(String) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id, if a workspace with the given ID is open and active.

leverageTo(String) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

leverageTo(String) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id - if a workspace with that ID exists.

leverageTo(String, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

leverageTo(String, boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id.

leverageTo(T, INDArray) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

leverageTo(T, INDArray) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Leverage the array to the specified array type's workspace (or detach if required).

Lgamma - Class in org.nd4j.linalg.api.ops.custom

Lgamma(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Lgamma

Lgamma(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Lgamma

Lgamma(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Lgamma

LIBRARY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphDef

like() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

like() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns empty array with the same dtype/order/shape as this one

linalg - Variable in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for linalg operations

linalg - Static variable in class org.nd4j.linalg.factory.Nd4j

Bitwise namespace - operations related to bitwise manipulation of arrays

linalg() - Method in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for linalg operations

linalg() - Static method in class org.nd4j.linalg.factory.Nd4j

Linalg namespace - operations related to linear algebra (lapack operations)

LinAlgExceptions - Class in org.nd4j.linalg.util

LinAlgExceptions() - Constructor for class org.nd4j.linalg.util.LinAlgExceptions

lInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatProperties

linear(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Linear layer operation: out = mmul(in,w) + bias
Note that bias array is optional

linear(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Linear layer operation: out = mmul(in,w) + bias
Note that bias array is optional

linear(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Linear layer operation: out = mmul(in,w) + bias
Note that bias array is optional

linearIndex(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Deprecated.

linearIndex(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get the linear index of the data in to the array

LinearIndexLookup - Class in org.nd4j.linalg.api.iter

LinearIndexLookup(int[], char) - Constructor for class org.nd4j.linalg.api.iter.LinearIndexLookup

LinearIndexLookup(long[], char) - Constructor for class org.nd4j.linalg.api.iter.LinearIndexLookup

linearOffset(int, INDArray) - Static method in class org.nd4j.linalg.indexing.Indices

Compute the linear offset for an index in an ndarray.

LinearSolve - Class in org.nd4j.linalg.api.ops.custom

LinearSolve(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.LinearSolve

LinearSolve(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.LinearSolve

LinearSolve(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.LinearSolve

LinearSolve(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.LinearSolve

LINES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebuggedSourceFile

LINK_FIELD_NUMBER - Static variable in class org.tensorflow.framework.LocalLinks

LINKS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceLocality

linspace(double, double, long, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Generate a linearly spaced 1d vector of the specified datatype

linspace(long, long, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Generate a linearly spaced vector with default data type

linspace(long, long, long, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Generate a linearly spaced vector

linspace(DataType, double, double, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Generate a linearly spaced 1d vector of the specified datatype

linspace(DataType, long, long, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Generate a linearly spaced vector

linspace(String, SDVariable, SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a new 1d array with values evenly spaced between values 'start' and 'stop'
For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0]

linspace(String, DataType, double, double, long) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a new 1d array with values evenly spaced between values 'start' and 'stop'
For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0]

linspace(SDVariable, SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a new 1d array with values evenly spaced between values 'start' and 'stop'
For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0]

linspace(DataType, double, double, long) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a new 1d array with values evenly spaced between values 'start' and 'stop'
For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0]

linspace(DataType, double, double, long) - Method in class org.nd4j.linalg.factory.ops.NDBase

Create a new 1d array with values evenly spaced between values 'start' and 'stop'
For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0]

linspace(INDArray, INDArray, INDArray, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

Create a new 1d array with values evenly spaced between values 'start' and 'stop'
For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0]

Linspace - Class in org.nd4j.linalg.api.ops.impl.shape

Linspace - Class in org.nd4j.linalg.api.ops.random.impl

Linspace() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Linspace

Linspace() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace

Linspace(double, double, long, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Linspace

Linspace(double, double, long, DataType) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace

Linspace(double, long, double, DataType) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace

Linspace(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace

Linspace(INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace

Linspace(INDArray, INDArray, INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Linspace

Linspace(SameDiff, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace

Linspace(SameDiff, SDVariable, SDVariable, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Linspace

Linspace(SameDiff, DataType, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Linspace

Linspace(DataType, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Linspace

Linspace(DataType, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Linspace

list(int) - Method in class org.nd4j.graph.FlatArrayList

list(FlatArray, int) - Method in class org.nd4j.graph.FlatArrayList

LIST - org.nd4j.autodiff.samediff.config.SDValueType

LIST - org.tensorflow.framework.AttrValue.ValueCase

LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

LIST_OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

LIST_OP_IMPL = 2;

LIST_OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

LIST_OP_IMPL = 2;

ListDevicesRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ListDevicesRequest

ListDevicesRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ListDevicesRequest

ListDevicesRequestOrBuilder - Interface in org.tensorflow.distruntime

ListDevicesResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ListDevicesResponse

ListDevicesResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ListDevicesResponse

ListDevicesResponseOrBuilder - Interface in org.tensorflow.distruntime

listDiff(String[], SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Calculates difference between inputs X and Y.

listDiff(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Calculates difference between inputs X and Y.

listDiff(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Calculates difference between inputs X and Y.

ListDiff - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

ListDiff() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ListDiff

ListDiff(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ListDiff

ListDiff(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ListDiff

Listener - Interface in org.nd4j.autodiff.listeners

ListenerEvaluations - Class in org.nd4j.autodiff.listeners

ListenerEvaluations(Map<String, List<IEvaluation>>, Map<String, Integer>, Map<String, List<IEvaluation>>, Map<String, Integer>) - Constructor for class org.nd4j.autodiff.listeners.ListenerEvaluations

ListenerEvaluations.Builder - Class in org.nd4j.autodiff.listeners

ListenerResponse - Enum in org.nd4j.autodiff.listeners

listeners - Variable in class org.nd4j.autodiff.samediff.internal.TrainingSession

listeners(Listener...) - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Add listeners for this operation

listeners(Listener...) - Method in class org.nd4j.autodiff.samediff.config.EvaluationConfig

Add listeners for this operation

listeners(Listener...) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Add listeners for this operation

listeners(Listener...) - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Add listeners for this operation

ListenerVariables - Class in org.nd4j.autodiff.listeners

ListenerVariables.Builder - Class in org.nd4j.autodiff.listeners

listGitPropertiesFiles() - Static method in class org.nd4j.versioncheck.VersionCheck

listIterator() - Method in class org.nd4j.list.BaseNDArrayList

listIterator() - Method in class org.nd4j.list.NDArrayList

listIterator(int) - Method in class org.nd4j.list.BaseNDArrayList

listIterator(int) - Method in class org.nd4j.list.NDArrayList

listLength() - Method in class org.nd4j.graph.FlatArrayList

listVector() - Method in class org.nd4j.graph.FlatArrayList

listVector(FlatArray.Vector) - Method in class org.nd4j.graph.FlatArrayList

LITTLE - org.tensorflow.util.BundleHeaderProto.Endianness

LITTLE = 0;

LITTLE_VALUE - Static variable in enum org.tensorflow.util.BundleHeaderProto.Endianness

LITTLE = 0;

LIVE_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed

lLength() - Method in class org.nd4j.graph.FlatProperties

load() - Static method in class org.nd4j.linalg.factory.Nd4jBackend

Loads the best available backend.

load(File, boolean) - Static method in class org.nd4j.autodiff.samediff.SameDiff

Load the SameDiff instance previously saved with SameDiff.save(File, boolean)

load(File, File) - Static method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats

Load distribution statistics from the file system

load(InputStream, boolean) - Static method in class org.nd4j.autodiff.samediff.SameDiff

As per SameDiff.load(File, boolean) but the SameDiff instance

load(List<File>, List<File>) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

Load means and standard deviations from the file system

load(File) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Load the contents of the DataSet from the specified File.

load(File) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Load the contents of this MultiDataSet from the specified file

load(File) - Method in class org.nd4j.linalg.dataset.DataSet

load(File) - Method in class org.nd4j.linalg.dataset.MultiDataSet

load(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

Load the given min and max

load(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

Load the means and standard deviations from the file system

load(File, File) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

Load the given mean and std

load(InputStream) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Load the contents of the DataSet from the specified InputStream.

load(InputStream) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Load the contents of this MultiDataSet from the specified stream.

load(InputStream) - Method in class org.nd4j.linalg.dataset.DataSet

load(InputStream) - Method in class org.nd4j.linalg.dataset.MultiDataSet

loadCheckpoint(int, boolean) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

Load a given checkpoint number

loadCheckpoint(File, int, boolean) - Static method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

Load a SameDiff instance for the given checkpoint that resides in the specified root directory

loadCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

loadLastCheckpoint(File, boolean) - Static method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener

Load the last (most recent) checkpoint from the specified root directory

loadLibrary(File) - Static method in class org.nd4j.linalg.factory.Nd4jBackend

Adds the supplied Java Archive library to java.class.path.

LOCAL_DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ListDevicesResponse

LOCAL_NAME_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes

LocalLinks - Class in org.tensorflow.framework

Protobuf type tensorflow.LocalLinks

LocalLinks.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.LocalLinks

LocalLinksOrBuilder - Interface in org.tensorflow.framework

localResponseNormalization(String, SDVariable, LocalResponseNormalizationConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D convolution layer operation - local response normalization

localResponseNormalization(SDVariable, LocalResponseNormalizationConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D convolution layer operation - local response normalization

localResponseNormalization(INDArray, LocalResponseNormalizationConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

2D convolution layer operation - local response normalization

LocalResponseNormalization - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

LocalResponseNormalization(INDArray, LocalResponseNormalizationConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

LocalResponseNormalization(INDArray, INDArray, LocalResponseNormalizationConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

LocalResponseNormalization(SameDiff, SDVariable[], boolean, LocalResponseNormalizationConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

LocalResponseNormalization(SameDiff, SDVariable, LocalResponseNormalizationConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

LocalResponseNormalizationConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config

LocalResponseNormalizationConfig(double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.LocalResponseNormalizationConfig

LocalResponseNormalizationDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

LocalResponseNormalizationDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative

LocalResponseNormalizationDerivative(SameDiff, SDVariable[], boolean, LocalResponseNormalizationConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative

LocationPolicy - Enum in org.nd4j.linalg.api.memory.enums

lock - Variable in class org.nd4j.linalg.util.AtomicThrowable

locksMap - Variable in class org.nd4j.linalg.util.DeviceLocal

log - Static variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

log(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise logarithm function (base e - natural logarithm): out = log(x)

log(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise logarithm function (with specified base): out = log_{base}(x)

log(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise logarithm function (base e - natural logarithm): out = log(x)

log(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise logarithm function (with specified base): out = log_{base}(x)

log(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise logarithm function (base e - natural logarithm): out = log(x)

log(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

log(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Log function

log(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise logarithm function (with specified base): out = log_{base}(x)

log(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Log on arbitrary base

log(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Log on arbitrary base

Log - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Log() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

Log(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

Log(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

Log(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

Log(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

LOG_DEVICE_PLACEMENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

LOG_INIT_ENV_PROPERTY - Static variable in class org.nd4j.linalg.factory.Nd4j

Deprecated.

Use ND4JSystemProperties.LOG_INITIALIZATION

log1p(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise natural logarithm function: out = log_e (1 + x)

log1p(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise natural logarithm function: out = log_e (1 + x)

log1p(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise natural logarithm function: out = log_e (1 + x)

log1p(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Log of x + 1 function

Log1p - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Log1p(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Log1p

Log1p(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Log1p

Log1p(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Log1p

Log1p(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Log1p

logBackendInit() - Method in class org.nd4j.linalg.factory.Nd4jBackend

logBinomialProbability(int, int, double, double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion

Compute the logarithm of the PMF for a binomial distribution using the saddle point expansion.

logCoverageInformation(boolean, boolean, boolean, boolean, boolean) - Static method in class org.nd4j.autodiff.validation.OpValidation

Log the coverage information

logdet(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates log of determinant.

logdet(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates log of determinant.

logdet(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Calculates log of determinant.

Logdet - Class in org.nd4j.linalg.api.ops.custom

Logdet(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Logdet

Logdet(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Logdet

logEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

logEntropy(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns log entropy value for this INDArray along specified dimension(s)

logEntropy(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Log entropy reduction: log(-sum(x * log(x)))

logEntropy(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Log entropy reduction: log(-sum(x * log(x)))

logEntropy(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Log entropy reduction: log(-sum(x * log(x)))

logEntropy(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Log entropy reduction: log(-sum(x * log(x)))

logEntropy(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Log entropy reduction: log(-sum(x * log(x)))

logEntropy(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Log entropy reduction: log(-sum(x * log(x)))

LogEntropy - Class in org.nd4j.linalg.api.ops.impl.reduce.floating

LogEntropy() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

LogEntropy(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

logEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

logEntropyNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns log entropy value for this INDArray

LogFileWriter - Class in org.nd4j.graph.ui

LogFileWriter(File) - Constructor for class org.nd4j.graph.ui.LogFileWriter

LogFileWriter.EventSubtype - Enum in org.nd4j.graph.ui

LogFileWriter.StaticInfo - Class in org.nd4j.graph.ui

LoggingRequest - Class in org.tensorflow.distruntime

Out-of-band request to begin or end logging, or to retrieve logs for particular steps.

LoggingRequest.Builder - Class in org.tensorflow.distruntime

Out-of-band request to begin or end logging, or to retrieve logs for particular steps.

LoggingRequestOrBuilder - Interface in org.tensorflow.distruntime

LoggingResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.LoggingResponse

LoggingResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.LoggingResponse

LoggingResponseOrBuilder - Interface in org.tensorflow.distruntime

LOGIC - org.nd4j.linalg.api.ops.Op.Type

LOGIC - Static variable in class org.nd4j.graph.OpType

LOGIC_OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

LOGIC_OP_IMPL = 3;

LOGIC_OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

LOGIC_OP_IMPL = 3;

LogicalAnd - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LogicalAnd() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalAnd

LogicalAnd(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalAnd

LogicalNot - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LogicalNot() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalNot

LogicalNot(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalNot

LogicalOr - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LogicalOr() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalOr

LogicalOr(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalOr

LogicalXor - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LogicalXor() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalXor

LogicalXor(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalXor

logLoss(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Log loss, i.e., binary cross entropy loss, usually used for binary multi-label classification.

logLoss(String, SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Log loss, i.e., binary cross entropy loss, usually used for binary multi-label classification.

logLoss(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Log loss, i.e., binary cross entropy loss, usually used for binary multi-label classification.

logLoss(SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Log loss, i.e., binary cross entropy loss, usually used for binary multi-label classification.

logLoss(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Log loss, i.e., binary cross entropy loss, usually used for binary multi-label classification.

logLoss(INDArray, INDArray, INDArray, LossReduce, double) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Log loss, i.e., binary cross entropy loss, usually used for binary multi-label classification.

LogLoss - Class in org.nd4j.linalg.api.ops.impl.loss

LogLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.LogLoss

LogLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.LogLoss

LogLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.LogLoss

LogLoss(INDArray, INDArray, INDArray, LossReduce, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.LogLoss

LogLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

LogLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.LogLossBp

LogLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.LogLossBp

LogMatrixDeterminant - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LogMatrixDeterminant() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogMatrixDeterminant

LogMatrixDeterminant(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogMatrixDeterminant

LogMemoryProtos - Class in org.tensorflow.framework

logNormal(double, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Log Normal distribution,
i.e., log(x) ~ N(mean, stdev)

logNormal(double, double, DataType, long...) - Method in class org.nd4j.linalg.factory.ops.NDRandom

Generate a new random INDArray, where values are randomly sampled according to a Log Normal distribution,
i.e., log(x) ~ N(mean, stdev)

logNormal(String, double, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Log Normal distribution,
i.e., log(x) ~ N(mean, stdev)

LogNormalDistribution - Class in org.nd4j.linalg.api.ops.random.impl

LogNormalDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl

LogNormalDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

LogNormalDistribution() - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Create a normal distribution with mean equal to zero and standard deviation equal to one.

LogNormalDistribution(double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Create a normal distribution using the given mean and standard deviation.

LogNormalDistribution(double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.

LogNormalDistribution(double, double, DataType, long...) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

LogNormalDistribution(double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

LogNormalDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

This op fills Z with random values within -1.0..0..1.0

LogNormalDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

This op fills Z with random values within stddev..0..stddev

LogNormalDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

This op fills Z with random values within stddev..mean..stddev boundaries

LogNormalDistribution(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

LogNormalDistribution(SameDiff, double, double, long...) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

LogNormalDistribution(SameDiff, double, double, DataType, long...) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

LogNormalDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

LogNormalDistribution(Random, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

LogNormalDistribution(Random, double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Creates a normal distribution.

LogNormalDistribution(Random, double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

logPoisson(String, SDVariable, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Log poisson loss: a loss function used for training classifiers.
Implements L = exp(c) - z * c where c is log(predictions) and z is labels.

logPoisson(String, SDVariable, SDVariable, SDVariable, LossReduce, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Log poisson loss: a loss function used for training classifiers.
Implements L = exp(c) - z * c where c is log(predictions) and z is labels.

logPoisson(SDVariable, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Log poisson loss: a loss function used for training classifiers.
Implements L = exp(c) - z * c where c is log(predictions) and z is labels.

logPoisson(SDVariable, SDVariable, SDVariable, LossReduce, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Log poisson loss: a loss function used for training classifiers.
Implements L = exp(c) - z * c where c is log(predictions) and z is labels.

logPoisson(INDArray, INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Log poisson loss: a loss function used for training classifiers.
Implements L = exp(c) - z * c where c is log(predictions) and z is labels.

logPoisson(INDArray, INDArray, INDArray, LossReduce, boolean) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Log poisson loss: a loss function used for training classifiers.
Implements L = exp(c) - z * c where c is log(predictions) and z is labels.

LogPoissonLoss - Class in org.nd4j.linalg.api.ops.impl.loss

LogPoissonLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

LogPoissonLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

LogPoissonLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

LogPoissonLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

LogPoissonLoss(INDArray, INDArray, INDArray, LossReduce, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

LogPoissonLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

LogPoissonLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.LogPoissonLossBp

LogPoissonLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.LogPoissonLossBp

logSaving(boolean) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

If true (the default) log a message every time a model is saved

logSigmoid(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise sigmoid function: out[i] = log(sigmoid(in[i]))

logSigmoid(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise sigmoid function: out[i] = log(sigmoid(in[i]))

logSigmoid(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise sigmoid function: out[i] = log(sigmoid(in[i]))

LogSigmoid - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

LogSigmoid(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.LogSigmoid

LogSigmoid(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.LogSigmoid

LogSigmoid(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.LogSigmoid

LogSigmoid(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.LogSigmoid

logSoftmax(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Log softmax activation

logSoftmax(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Log softmax activation

logSoftmax(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Log softmax activation

logSoftmax(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Log softmax activation

logSoftmax(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Log softmax activation

logSoftmax(INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDNN

Log softmax activation

LogSoftMax - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

LogSoftMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

LogSoftMax(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

LogSoftMax(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

LogSoftMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

LogSoftMax(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

LogSoftMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

LogSoftMaxDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

LogSoftMaxDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative

LogSoftMaxDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative

LogSoftMaxDerivative(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative

LogSoftMaxDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative

logSumExp(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Log-sum-exp reduction (optionally along dimension).
Computes log(sum(exp(x))

logSumExp(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Log-sum-exp reduction (optionally along dimension).
Computes log(sum(exp(x))

logSumExp(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Log-sum-exp reduction (optionally along dimension).
Computes log(sum(exp(x))

LogSumExp - Class in org.nd4j.linalg.api.ops.impl.reduce.custom

LogSumExp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

LogSumExp(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

LogSumExp(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

LogSumExp(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

LogSumExp(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

LogSumExp(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

logVersionInfo() - Static method in class org.nd4j.versioncheck.VersionCheck

Log of the version information with the default level of detail

logVersionInfo(VersionCheck.Detail) - Static method in class org.nd4j.versioncheck.VersionCheck

Log the version information with the specified level of detail

LogX - Class in org.nd4j.linalg.api.ops.impl.scalar

LogX() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LogX

LogX(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LogX

LogX(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LogX

LogX(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.LogX

LONG - org.nd4j.linalg.api.buffer.DataType

Deprecated.

Replaced by DataType.INT64, use that instead

LONG_SHAPE - org.nd4j.linalg.api.buffer.DataBuffer.AllocationMode

Deprecated.

longBufferClass() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

LongPair - Class in org.nd4j.graph

LongPair() - Constructor for class org.nd4j.graph.LongPair

LongPair.Vector - Class in org.nd4j.graph

LongShapeDescriptor - Class in org.nd4j.linalg.api.shape

LongShapeDescriptor(long[], long[], long, long, char, long) - Constructor for class org.nd4j.linalg.api.shape.LongShapeDescriptor

LongTriple - Class in org.nd4j.graph

LongTriple() - Constructor for class org.nd4j.graph.LongTriple

LongTriple.Vector - Class in org.nd4j.graph

LongUtils - Class in org.nd4j.linalg.util

LongUtils() - Constructor for class org.nd4j.linalg.util.LongUtils

lookup(int) - Method in class org.nd4j.linalg.api.iter.LinearIndexLookup

Give back a sub wrt the given linear index

lookup(String, Collection<AbstractSession.VarId>, boolean) - Static method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get the VarId from the specified name.

lookup(String, Collection<AbstractSession.VarId>, Collection<AbstractSession.VarId>, boolean) - Static method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get the VarId from the specified name.

LOOP - org.nd4j.linalg.api.ops.Op.Type

LOOP - Static variable in class org.nd4j.graph.OpClass

LOOP_COND - org.nd4j.linalg.api.ops.Op.Type

LOOP_ENTER_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

LOOP_EXIT_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

LOOP_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

LoopArgs() - Constructor for class org.nd4j.autodiff.samediff.ControlFlow.LoopArgs

loopBody(SameDiff, SameDiff, String, String[], String[]) - Static method in class org.nd4j.autodiff.samediff.ControlFlow

Create a SameDiffLambda to be used in combination with ControlFlow.condBody() and SameDiff.invoke(Invoke.InvokeParams) this lambda will use samediff invoke as the function bdoy and setup the appropriate parameters to create a looping construct as described in ControlFlow.loopBody(SameDiff, SameDiff, String, String[], String[])

LoopCond - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat

LoopCond() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond

LoopLambdaArgs(SDVariable, SDVariable, SDVariable[], SDVariable) - Constructor for class org.nd4j.autodiff.samediff.ControlFlow.LoopLambdaArgs

LoopParams() - Constructor for class org.nd4j.autodiff.samediff.ControlFlow.LoopParams

loopWithConditions(String[], String, SameDiff, SameDiff, String, SDVariable[], String[], String[]) - Static method in class org.nd4j.autodiff.samediff.ControlFlow

Loop with conditions allows a user to provide a lambda to invoke any number of times.

loopWithConditions(String[], ControlFlow.LoopParams) - Method in class org.nd4j.autodiff.samediff.SameDiff

Loop with conditions.

loopWithConditions(ControlFlow.LoopParams) - Static method in class org.nd4j.autodiff.samediff.ControlFlow

A simplified function using ControlFlow.LoopParams invoking the same function as ControlFlow.loopWithConditions(String[], String, SameDiff, SameDiff, String, SDVariable[], String[], String[])

loopWithConditions(ControlFlow.LoopParams) - Method in class org.nd4j.autodiff.samediff.SameDiff

Loop with conditions.

loss - Variable in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for loss function operations

loss - Static variable in class org.nd4j.linalg.factory.Nd4j

Loss function namespace - operations related to loss functions.

loss() - Method in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for loss function operations

loss() - Static method in class org.nd4j.linalg.factory.Nd4j

Loss function namespace - operations related to loss functions.

Loss - Class in org.nd4j.autodiff.listeners

Loss(List<String>, @lombok.NonNull double[]) - Constructor for class org.nd4j.autodiff.listeners.Loss

LOSS - org.nd4j.graph.ui.LogFileWriter.EventSubtype

LOSS - Static variable in class org.nd4j.graph.UIEventSubtype

LossBinaryXENT - Class in org.nd4j.linalg.lossfunctions.impl

LossBinaryXENT() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

LossBinaryXENT(double) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

Binary cross entropy where each the output is (optionally) weighted/scaled by a fixed scalar value.

LossBinaryXENT(double, INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

Binary cross entropy where each the output is (optionally) weighted/scaled by a fixed scalar value.

LossBinaryXENT(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

Binary cross entropy where each the output is (optionally) weighted/scaled by a fixed scalar value.

LossCosineProximity - Class in org.nd4j.linalg.lossfunctions.impl

LossCosineProximity() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

lossCurve() - Method in class org.nd4j.autodiff.listeners.records.History

Get the loss curve

LossCurve - Class in org.nd4j.autodiff.listeners.records

LossCurve(double[], List<String>) - Constructor for class org.nd4j.autodiff.listeners.records.LossCurve

LossCurve(List<Loss>) - Constructor for class org.nd4j.autodiff.listeners.records.LossCurve

LossCurve(INDArray, List<String>) - Constructor for class org.nd4j.autodiff.listeners.records.LossCurve

losses() - Method in class org.nd4j.autodiff.listeners.records.LossCurve

LossFMeasure - Class in org.nd4j.linalg.lossfunctions.impl

LossFMeasure() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossFMeasure

LossFMeasure(double) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossFMeasure

LossFunction - Interface in org.nd4j.linalg.api.ops

LossFunctions - Class in org.nd4j.linalg.lossfunctions

LossFunctions() - Constructor for class org.nd4j.linalg.lossfunctions.LossFunctions

LossFunctions.LossFunction - Enum in org.nd4j.linalg.lossfunctions

MSE: Mean Squared Error: Linear Regression - LossMSE
l1: L1 loss (absolute value) - LossL1
XENT: Cross Entropy: Binary Classification - LossBinaryXENT
MCXENT: Multiclass Cross Entropy - LossMCXENT
SPARSE_MCXENT: Sparse multi-class cross entropy - LossSparseMCXENT
SQUARED_LOSS: Alias for mean squared error - LossMSE
NEGATIVELOGLIKELIHOOD: Negative Log Likelihood - LossNegativeLogLikelihood
COSINE_PROXIMITY: Cosine proximity loss - LossCosineProximity
HINGE: Hinge loss - LossHinge
SQUARED_HINGE: Squared hinge loss - LossSquaredHinge
KL_DIVERGENCE: Kullback-Leibler divergence loss - LossKLD
MEAN_ABSOLUTE_ERROR: mean absolute error loss - LossMAE
L2: L2 loss (sum of squared errors) - LossL2
MEAN_ABSOLUTE_PERCENTAGE_ERROR: MAPE loss - LossMAPE
MEAN_SQUARED_LOGARITHMIC_ERROR: MSLE loss - LossMSLE
POISSON: Poisson loss - LossPoisson
WASSERSTEIN: Wasserstein loss - LossWasserstein

LossHinge - Class in org.nd4j.linalg.lossfunctions.impl

LossHinge() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossHinge

LossKLD - Class in org.nd4j.linalg.lossfunctions.impl

LossKLD() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossKLD

LossL1 - Class in org.nd4j.linalg.lossfunctions.impl

LossL1() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL1

LossL1(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL1

L1 loss function where each the output is (optionally) weighted/scaled by a flags scalar value.

LossL2 - Class in org.nd4j.linalg.lossfunctions.impl

LossL2() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL2

LossL2(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL2

L2 loss function where each the output is (optionally) weighted/scaled by a flags scalar value.

LOSSLESS - org.nd4j.linalg.compression.CompressionType

LossMAE - Class in org.nd4j.linalg.lossfunctions.impl

LossMAE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAE

LossMAE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAE

Mean Absolute Error loss function where each the output is (optionally) weighted/scaled by a flags scalar value.

LossMAPE - Class in org.nd4j.linalg.lossfunctions.impl

LossMAPE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAPE

LossMAPE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAPE

Mean Absolute Percentage Error loss function where each the output is (optionally) weighted/scaled by a flags scalar value.

LossMCXENT - Class in org.nd4j.linalg.lossfunctions.impl

LossMCXENT() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

LossMCXENT(double, INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

Multi-Class Cross Entropy loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.

LossMCXENT(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

Multi-Class Cross Entropy loss function where each the output is (optionally) weighted/scaled by a flags scalar value.

LossMixtureDensity - Class in org.nd4j.linalg.lossfunctions.impl

LossMixtureDensity() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

LossMixtureDensity.Builder - Class in org.nd4j.linalg.lossfunctions.impl

LossMixtureDensity.MixtureDensityComponents - Class in org.nd4j.linalg.lossfunctions.impl

This class is a data holder for the mixture density components for convenient manipulation.

LossMSE - Class in org.nd4j.linalg.lossfunctions.impl

LossMSE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSE

LossMSE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSE

Mean Squared Error loss function where each the output is (optionally) weighted/scaled by a flags scalar value.

LossMSLE - Class in org.nd4j.linalg.lossfunctions.impl

LossMSLE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSLE

LossMSLE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSLE

Mean Squared Logarithmic Error loss function where each the output is (optionally) weighted/scaled by a flags scalar value.

LossMultiLabel - Class in org.nd4j.linalg.lossfunctions.impl

LossMultiLabel() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel

lossNames() - Method in class org.nd4j.autodiff.listeners.Loss

LossNegativeLogLikelihood - Class in org.nd4j.linalg.lossfunctions.impl

LossNegativeLogLikelihood() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood

LossNegativeLogLikelihood(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood

LossPoisson - Class in org.nd4j.linalg.lossfunctions.impl

LossPoisson() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossPoisson

lossReduce - Variable in class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

lossReduce - Variable in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp

LossReduce - Class in org.nd4j.graph

LossReduce - Enum in org.nd4j.autodiff.loss

LossSparseMCXENT - Class in org.nd4j.linalg.lossfunctions.impl

LossSparseMCXENT() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossSparseMCXENT

LossSparseMCXENT(double, INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossSparseMCXENT

Multi-Class Cross Entropy loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.

LossSparseMCXENT(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossSparseMCXENT

Multi-Class Cross Entropy loss function where each the output is (optionally) weighted/scaled by a flags scalar value.

LossSquaredHinge - Class in org.nd4j.linalg.lossfunctions.impl

LossSquaredHinge() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

LossUtil - Class in org.nd4j.linalg.lossfunctions

LossUtil() - Constructor for class org.nd4j.linalg.lossfunctions.LossUtil

lossValues() - Method in class org.nd4j.autodiff.listeners.Loss

lossVariables(int) - Method in class org.nd4j.graph.FlatGraph

lossVariablesLength() - Method in class org.nd4j.graph.FlatGraph

lossVariablesVector() - Method in class org.nd4j.graph.FlatGraph

lossVariablesVector(StringVector) - Method in class org.nd4j.graph.FlatGraph

lossVarsToLossIdx - Variable in class org.nd4j.autodiff.samediff.internal.TrainingSession

LossWasserstein - Class in org.nd4j.linalg.lossfunctions.impl

LossWasserstein() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossWasserstein

LOSSY - org.nd4j.linalg.compression.CompressionType

LSTMActivations - Enum in org.nd4j.linalg.api.ops.impl.layers.recurrent.config

lstmblock(String, SDVariable, SDVariable, SDVariable, SDVariable, LSTMWeights, LSTMConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The LSTM block

lstmblock(String, SDVariable, LSTMWeights, LSTMConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The LSTM block

lstmblock(SDVariable, SDVariable, SDVariable, SDVariable, LSTMWeights, LSTMConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The LSTM block

lstmblock(SDVariable, LSTMWeights, LSTMConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The LSTM block

lstmblock(INDArray, INDArray, INDArray, INDArray, LSTMWeights, LSTMConfiguration) - Method in class org.nd4j.linalg.factory.ops.NDRNN

The LSTM block

lstmblock(INDArray, LSTMWeights, LSTMConfiguration) - Method in class org.nd4j.linalg.factory.ops.NDRNN

The LSTM block

LSTMBlock - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

LSTMBlock() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlock

LSTMBlock(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, LSTMWeights, LSTMConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlock

LSTMBlock(INDArray, INDArray, INDArray, INDArray, LSTMWeights, LSTMConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlock

LSTMBlockCell - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

LSTMBlockCell() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell

LSTMBlockCell(SameDiff, SDVariable, SDVariable, SDVariable, LSTMWeights, LSTMConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell

LSTMBlockCell(INDArray, INDArray, INDArray, LSTMWeights, LSTMConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell

lstmCell(String[], SDVariable, SDVariable, SDVariable, LSTMWeights, LSTMConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The LSTM cell.

lstmCell(SDVariable, SDVariable, SDVariable, LSTMWeights, LSTMConfiguration) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The LSTM cell.

lstmCell(INDArray, INDArray, INDArray, LSTMWeights, LSTMConfiguration) - Method in class org.nd4j.linalg.factory.ops.NDRNN

The LSTM cell.

LSTMCell - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

LSTMCell(SameDiff, LSTMCellConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell

LSTMCellConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config

LSTMCellConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration

LSTMCellOutputs - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs

LSTMCellOutputs(SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.LSTMCellOutputs

LSTMConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config

LSTMConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMConfiguration

LSTMDataFormat - Enum in org.nd4j.enums

for unidirectional: TNS: shape [timeLength, numExamples, inOutSize] - sometimes referred to as "time major"
NST: shape [numExamples, inOutSize, timeLength]
NTS: shape [numExamples, timeLength, inOutSize] - TF "time_major=false" layout
for bidirectional: T2NS: 3 = [timeLength, 2, numExamples, inOutSize] (for ONNX)

LSTMDataFormat - Enum in org.nd4j.linalg.api.ops.impl.layers.recurrent.config

LSTMDirectionMode - Enum in org.nd4j.enums

direction
FWD: 0 = fwd BWD: 1 = bwd BIDIR_SUM: 2 = bidirectional sum BIDIR_CONCAT: 3 = bidirectional concat BIDIR_EXTRA_DIM: 4 = bidirectional extra output dim (in conjunction with format dataFormat = 3)

LSTMDirectionMode - Enum in org.nd4j.linalg.api.ops.impl.layers.recurrent.config

lstmLayer(String[], SDVariable, SDVariable, SDVariable, SDVariable, LSTMLayerWeights, LSTMLayerConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

Long Short-Term Memory layer - Hochreiter 1997.
SUPPORTS following data formats:
for unidirectional:
TNS: shapes [timeLength, numExamples, inOutSize]
NST: shapes [numExamples, inOutSize, timeLength]
NTS: shapes [numExamples, timeLength, inOutSize]
for bidirectional:
T2NS: shapes [timeLength, 2, numExamples, inOutSize] (for ONNX)
SUPPORTS following direction modes:
FWD: forward
BWD: backward
BIDIR_SUM: bidirectional sum
BIDIR_CONCAT: bidirectional concat
BIDIR_EXTRA_DIM: bidirectional extra output dim (in conjunction with format dataFormat - T2NS)
You may use different gate configurations:
specify gate/cell/out aplha/beta and numbers of activations for gate/cell/out described in activations enum
("RELU","SIGMOID","AFFINE","LEAKY_RELU","THRESHHOLD_RELU","SCALED_TAHN","HARD_SIGMOID","ELU","SOFTSIGN","SOFTPLUS")
Also this layer supports MKLDNN (DNNL) and cuDNN acceleration

lstmLayer(String[], SDVariable, LSTMLayerWeights, LSTMLayerConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

Long Short-Term Memory layer - Hochreiter 1997.
SUPPORTS following data formats:
for unidirectional:
TNS: shapes [timeLength, numExamples, inOutSize]
NST: shapes [numExamples, inOutSize, timeLength]
NTS: shapes [numExamples, timeLength, inOutSize]
for bidirectional:
T2NS: shapes [timeLength, 2, numExamples, inOutSize] (for ONNX)
SUPPORTS following direction modes:
FWD: forward
BWD: backward
BIDIR_SUM: bidirectional sum
BIDIR_CONCAT: bidirectional concat
BIDIR_EXTRA_DIM: bidirectional extra output dim (in conjunction with format dataFormat - T2NS)
You may use different gate configurations:
specify gate/cell/out aplha/beta and numbers of activations for gate/cell/out described in activations enum
("RELU","SIGMOID","AFFINE","LEAKY_RELU","THRESHHOLD_RELU","SCALED_TAHN","HARD_SIGMOID","ELU","SOFTSIGN","SOFTPLUS")
Also this layer supports MKLDNN (DNNL) and cuDNN acceleration

lstmLayer(SDVariable, SDVariable, SDVariable, SDVariable, LSTMLayerWeights, LSTMLayerConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

Long Short-Term Memory layer - Hochreiter 1997.
SUPPORTS following data formats:
for unidirectional:
TNS: shapes [timeLength, numExamples, inOutSize]
NST: shapes [numExamples, inOutSize, timeLength]
NTS: shapes [numExamples, timeLength, inOutSize]
for bidirectional:
T2NS: shapes [timeLength, 2, numExamples, inOutSize] (for ONNX)
SUPPORTS following direction modes:
FWD: forward
BWD: backward
BIDIR_SUM: bidirectional sum
BIDIR_CONCAT: bidirectional concat
BIDIR_EXTRA_DIM: bidirectional extra output dim (in conjunction with format dataFormat - T2NS)
You may use different gate configurations:
specify gate/cell/out aplha/beta and numbers of activations for gate/cell/out described in activations enum
("RELU","SIGMOID","AFFINE","LEAKY_RELU","THRESHHOLD_RELU","SCALED_TAHN","HARD_SIGMOID","ELU","SOFTSIGN","SOFTPLUS")
Also this layer supports MKLDNN (DNNL) and cuDNN acceleration

lstmLayer(SDVariable, LSTMLayerWeights, LSTMLayerConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

Long Short-Term Memory layer - Hochreiter 1997.
SUPPORTS following data formats:
for unidirectional:
TNS: shapes [timeLength, numExamples, inOutSize]
NST: shapes [numExamples, inOutSize, timeLength]
NTS: shapes [numExamples, timeLength, inOutSize]
for bidirectional:
T2NS: shapes [timeLength, 2, numExamples, inOutSize] (for ONNX)
SUPPORTS following direction modes:
FWD: forward
BWD: backward
BIDIR_SUM: bidirectional sum
BIDIR_CONCAT: bidirectional concat
BIDIR_EXTRA_DIM: bidirectional extra output dim (in conjunction with format dataFormat - T2NS)
You may use different gate configurations:
specify gate/cell/out aplha/beta and numbers of activations for gate/cell/out described in activations enum
("RELU","SIGMOID","AFFINE","LEAKY_RELU","THRESHHOLD_RELU","SCALED_TAHN","HARD_SIGMOID","ELU","SOFTSIGN","SOFTPLUS")
Also this layer supports MKLDNN (DNNL) and cuDNN acceleration

lstmLayer(INDArray, INDArray, INDArray, INDArray, LSTMLayerWeights, LSTMLayerConfig) - Method in class org.nd4j.linalg.factory.ops.NDRNN

Long Short-Term Memory layer - Hochreiter 1997.
SUPPORTS following data formats:
for unidirectional:
TNS: shapes [timeLength, numExamples, inOutSize]
NST: shapes [numExamples, inOutSize, timeLength]
NTS: shapes [numExamples, timeLength, inOutSize]
for bidirectional:
T2NS: shapes [timeLength, 2, numExamples, inOutSize] (for ONNX)
SUPPORTS following direction modes:
FWD: forward
BWD: backward
BIDIR_SUM: bidirectional sum
BIDIR_CONCAT: bidirectional concat
BIDIR_EXTRA_DIM: bidirectional extra output dim (in conjunction with format dataFormat - T2NS)
You may use different gate configurations:
specify gate/cell/out aplha/beta and numbers of activations for gate/cell/out described in activations enum
("RELU","SIGMOID","AFFINE","LEAKY_RELU","THRESHHOLD_RELU","SCALED_TAHN","HARD_SIGMOID","ELU","SOFTSIGN","SOFTPLUS")
Also this layer supports MKLDNN (DNNL) and cuDNN acceleration

lstmLayer(INDArray, LSTMLayerWeights, LSTMLayerConfig) - Method in class org.nd4j.linalg.factory.ops.NDRNN

Long Short-Term Memory layer - Hochreiter 1997.
SUPPORTS following data formats:
for unidirectional:
TNS: shapes [timeLength, numExamples, inOutSize]
NST: shapes [numExamples, inOutSize, timeLength]
NTS: shapes [numExamples, timeLength, inOutSize]
for bidirectional:
T2NS: shapes [timeLength, 2, numExamples, inOutSize] (for ONNX)
SUPPORTS following direction modes:
FWD: forward
BWD: backward
BIDIR_SUM: bidirectional sum
BIDIR_CONCAT: bidirectional concat
BIDIR_EXTRA_DIM: bidirectional extra output dim (in conjunction with format dataFormat - T2NS)
You may use different gate configurations:
specify gate/cell/out aplha/beta and numbers of activations for gate/cell/out described in activations enum
("RELU","SIGMOID","AFFINE","LEAKY_RELU","THRESHHOLD_RELU","SCALED_TAHN","HARD_SIGMOID","ELU","SOFTSIGN","SOFTPLUS")
Also this layer supports MKLDNN (DNNL) and cuDNN acceleration

LSTMLayer - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

LSTMLayer() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

LSTMLayer(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, LSTMLayerWeights, LSTMLayerConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

LSTMLayer(INDArray, INDArray, INDArray, INDArray, LSTMLayerWeights, LSTMLayerConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

LSTMLayerBp - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

LSTMLayerBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, LSTMLayerWeights, LSTMLayerConfig, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

LSTMLayerConfig - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config

LSTMLayerConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMLayerConfig

LSTMLayerOutputs - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs

The outputs of a LSTM layer (LSTMLayer.

LSTMLayerOutputs(SDVariable[], LSTMLayerConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.LSTMLayerOutputs

LSTMLayerWeights - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.weights

LSTMLayerWeights() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights

LSTMWeights - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.weights

LSTMWeights() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMWeights

lstsq(String, SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for linear squares problems.

lstsq(String, SDVariable, SDVariable, double, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for linear squares problems.

lstsq(SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for linear squares problems.

lstsq(SDVariable, SDVariable, double, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for linear squares problems.

lstsq(INDArray, INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Solver for linear squares problems.

lstsq(INDArray, INDArray, double, boolean) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Solver for linear squares problems.

Lstsq - Class in org.nd4j.linalg.api.ops.custom

Lstsq(SameDiff, SDVariable, SDVariable, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.Lstsq

Lstsq(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Lstsq

Lstsq(INDArray, INDArray, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.Lstsq

lt(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.lt(String, double)

lt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

lt(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Less" comparison.

lt(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Less than operation: elementwise this < value
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise

lt(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Less than operation: elementwise this < y
If x and y arrays have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if x and y have different shapes and are broadcastable, the output shape is broadcast.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

lt(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Less than operation: elementwise x < y
Return boolean array with values true where satisfied, or false otherwise.

lt(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Less than operation: elementwise x < y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

lt(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.lt(String, SDVariable)

lt(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Less than operation: elementwise x < y
Return boolean array with values true where satisfied, or false otherwise.

lt(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Less than operation: elementwise x < y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

lt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

lt(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Less" comparison.

lt(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Less than operation: elementwise x < y
Return boolean array with values true where satisfied, or false otherwise.

lt(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Less than operation: elementwise x < y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

lt(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast less than op.

lte(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.lte(String, double)

lte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

lte(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Less or equals" comparison.

lte(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Less than or equals operation: elementwise this <= value
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise

lte(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Less than or equal to operation: elementwise this <= y
If x and y arrays have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if x and y have different shapes and are broadcastable, the output shape is broadcast.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

lte(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Less than or equals operation: elementwise x <= y
Return boolean array with values true where satisfied, or false otherwise.

lte(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Less than or equal to operation: elementwise x <= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

lte(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.lte(String, SDVariable)

lte(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Less than or equals operation: elementwise x <= y
Return boolean array with values true where satisfied, or false otherwise.

lte(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Less than or equal to operation: elementwise x <= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

lte(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Less than or equals operation: elementwise x <= y
Return boolean array with values true where satisfied, or false otherwise.

lte(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Less than or equal to operation: elementwise x <= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

lte(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast less than or equal to op.

lu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes LU decomposition.

lu(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes LU decomposition.

lu(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Computes LU decomposition.

Lu - Class in org.nd4j.linalg.api.ops.custom

Lu(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Lu

Lu(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Lu

lVector() - Method in class org.nd4j.graph.FlatProperties

lVector(LongVector) - Method in class org.nd4j.graph.FlatProperties

M

M - org.nd4j.autodiff.listeners.profiler.data.Phase

M - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

M_STATE - Static variable in class org.nd4j.linalg.learning.AdaBeliefUpdater

M_STATE - Static variable in class org.nd4j.linalg.learning.AdaMaxUpdater

M_STATE - Static variable in class org.nd4j.linalg.learning.AdamUpdater

M_STATE - Static variable in class org.nd4j.linalg.learning.AMSGradUpdater

M_STATE - Static variable in class org.nd4j.linalg.learning.NadamUpdater

Macro - org.nd4j.evaluation.EvaluationAveraging

MAE - org.nd4j.evaluation.regression.RegressionEvaluation.Metric

MAGIC_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorSetProto

MakeCallableRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.MakeCallableRequest

MakeCallableRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.MakeCallableRequest

MakeCallableRequestOrBuilder - Interface in org.tensorflow.distruntime

MakeCallableResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.MakeCallableResponse

MakeCallableResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.MakeCallableResponse

MakeCallableResponseOrBuilder - Interface in org.tensorflow.distruntime

manhattanDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

manhattanDistance(String, SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Manhattan distance (l1 norm, l1 distance) reduction operation.

manhattanDistance(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Manhattan distance (l1 norm, l1 distance) reduction operation.

manhattanDistance(SDVariable, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Manhattan distance (l1 norm, l1 distance) reduction operation.

manhattanDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Manhattan distance (l1 norm, l1 distance) reduction operation.

manhattanDistance(INDArray, INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Manhattan distance (l1 norm, l1 distance) reduction operation.

manhattanDistance(INDArray, INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Manhattan distance (l1 norm, l1 distance) reduction operation.

ManhattanDistance - Class in org.nd4j.linalg.api.ops.impl.reduce3

ManhattanDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(SameDiff, SDVariable, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

ManhattanDistance(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

MANUAL - org.tensorflow.framework.RewriterConfig.MemOptType

Driven by manual op-level annotations.

MANUAL_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.MemOptType

Driven by manual op-level annotations.

MAP_TYPE - onnx.Onnx.TypeProto.ValueCase

MAP_TYPE - onnx.OnnxMl.TypeProto.ValueCase

MAP_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto

MAP_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto

mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.BooleanAdapter

mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueIntIndexArrayAdapter

mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueNDArrayShapeAdapter

mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.DataTypeAdapter

mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.IntArrayIntIndexAdapter

mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.NDArrayShapeAdapter

mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.SizeThresholdIntArrayIntIndexAdapter

mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.StringEqualsAdapter

mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.StringNotEqualsAdapter

mapAttributeFor(Object, Field, DifferentialFunction) - Method in interface org.nd4j.imports.descriptors.properties.AttributeAdapter

Map the attribute using the specified field on the specified function on adapting the given input type to the type of the field for the specified function.

mapFlatPropertiesToFunctionProperties(Iterable<FlatProperties>) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

mapFunctionPropertiesToFlatProperties(FlatBufferBuilder, Map<String, Object>) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

mapIndexOntoTensor(int, INDArray, int...) - Static method in class org.nd4j.linalg.util.NDArrayMath

This maps an index of a vector on to a vector in the matrix that can be used for indexing in to a tensor

mapIndexOntoVector(int, INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath

This maps an index of a vector on to a vector in the matrix that can be used for indexing in to a tensor

mapOrNull(List<String>, FlatBufferBuilder) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

MapperNamespace - Class in org.nd4j.ir

MapperNamespace.MapperDeclaration - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.MapperDeclaration

MapperNamespace.MapperDeclaration.Builder - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.MapperDeclaration

MapperNamespace.MapperDeclarationOrBuilder - Interface in org.nd4j.ir

MapperNamespace.MappingDefinitionSet - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.MappingDefinitionSet

MapperNamespace.MappingDefinitionSet.Builder - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.MappingDefinitionSet

MapperNamespace.MappingDefinitionSetOrBuilder - Interface in org.nd4j.ir

MapperNamespace.MappingRule - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.MappingRule

MapperNamespace.MappingRule.Builder - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.MappingRule

MapperNamespace.MappingRuleOrBuilder - Interface in org.nd4j.ir

MapperNamespace.OpListType - Enum in org.nd4j.ir

Protobuf enum org.nd4j.ir.OpListType

MapperNamespace.TransformerArgs - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.TransformerArgs

MapperNamespace.TransformerArgs.Builder - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.TransformerArgs

MapperNamespace.TransformerArgsOrBuilder - Interface in org.nd4j.ir

MapperNamespace.VariableResolutionType - Enum in org.nd4j.ir

Protobuf enum org.nd4j.ir.VariableResolutionType

MAPPINGS_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

mappingsForFunction() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Returns the mappings for a given function ( for tensorflow and onnx import mapping properties of this function).

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

MapSchedule - Class in org.nd4j.linalg.schedule

MapSchedule(ScheduleType, Map<Integer, Double>) - Constructor for class org.nd4j.linalg.schedule.MapSchedule

MapSchedule.Builder - Class in org.nd4j.linalg.schedule

DynamicCustomOpsBuilder for conveniently constructing map schedules

mapTensorProto(TensorProto) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Convert a TensorProto to an INDArray

markAllocated(AllocationKind, Integer, long) - Method in class org.nd4j.linalg.api.memory.AllocationsTracker

markAsCompressed(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

markAsCompressed(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method marks INDArray instance as compressed PLEASE NOTE: Do not use this method unless you 100% have to

markAsLoss() - Method in class org.nd4j.autodiff.samediff.SDVariable

Mark this variable as a loss function variable.

markAsPreProcessed() - Method in class org.nd4j.linalg.dataset.DataSet

markInplace(boolean) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method allows to set op as inplace

markLabelsUnused() - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Calling this method will mark the label as unused.

markReleased() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

markReleased(AllocationKind, Integer, long) - Method in class org.nd4j.linalg.api.memory.AllocationsTracker

markSatisfied(D, boolean) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

Mark the specified value as satisfied.

Masking - Class in org.nd4j.linalg.indexing.masking

Masking() - Constructor for class org.nd4j.linalg.indexing.masking.Masking

MasterServiceProtos - Class in org.tensorflow.distruntime

match(Number, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

match(Number, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a mask

match(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

match(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Return a mask on whether each element matches the given condition

matchCondition(String, SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a boolean mask of equal shape to the input, where the condition is satisfied - value 1 where satisfied, 0 otherwise

matchCondition(SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a boolean mask of equal shape to the input, where the condition is satisfied - value 1 where satisfied, 0 otherwise

matchCondition(INDArray, Condition) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns a boolean mask of equal shape to the input, where the condition is satisfied - value 1 where satisfied, 0 otherwise

MatchCondition - Class in org.nd4j.linalg.api.ops.impl.reduce.longer

MatchCondition() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, boolean, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, double, double, int, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, int[], boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, int[], boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, int[], boolean, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, boolean, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, int[], boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, int[], boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, int[], boolean, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, int[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, int[], double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, SDVariable, SDVariable, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(SameDiff, SDVariable, Condition, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, boolean, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, boolean, double, double, int, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, boolean, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, double, double, int, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, double, Condition, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, INDArray, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, INDArray, double, double, int, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, INDArray, INDArray, boolean, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, INDArray, INDArray, boolean, int[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, INDArray, INDArray, boolean, int[], double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, INDArray, INDArray, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, INDArray, INDArray, double, double, int, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, Condition, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

MatchCondition(INDArray, Condition, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

matchConditionCount(String, SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a count of the number of elements that satisfy the condition

matchConditionCount(String, SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a count of the number of elements that satisfy the condition (for each slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

matchConditionCount(String, SDVariable, Condition, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a count of the number of elements that satisfy the condition (for each slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

matchConditionCount(SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a count of the number of elements that satisfy the condition

matchConditionCount(SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a count of the number of elements that satisfy the condition (for each slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

matchConditionCount(SDVariable, Condition, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a count of the number of elements that satisfy the condition (for each slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

matchConditionCount(INDArray, Condition) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns a count of the number of elements that satisfy the condition

matchConditionCount(INDArray, Condition, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns a count of the number of elements that satisfy the condition (for each slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

matchConditionCount(INDArray, Condition, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns a count of the number of elements that satisfy the condition (for each slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

MatchConditionTransform - Class in org.nd4j.linalg.api.ops.impl.transforms.bool

MatchConditionTransform() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

MatchConditionTransform(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

MatchConditionTransform(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

MatchConditionTransform(SameDiff, SDVariable, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

MatchConditionTransform(INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

MatchConditionTransform(INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

MatchConditionTransform(INDArray, INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

matches(SameDiff, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.transform.OpPredicate

matches(SameDiff, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

Determine if the subgraph, starting with the root function, matches the predicate

math - Variable in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for math operations

math - Static variable in class org.nd4j.linalg.factory.Nd4j

Math namespace - general mathematical operations

math() - Method in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for math operations

math() - Static method in class org.nd4j.linalg.factory.Nd4j

Math namespace - general mathematical operations

matmul(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Performs matrix mutiplication on input tensors.

matmul(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Performs matrix mutiplication on input tensors.

matmul(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Matrix multiplication/dot product See Nd4j.matmul(INDArray, INDArray, INDArray, boolean, boolean, boolean)

matmul(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Performs matrix mutiplication on input tensors.

matmul(INDArray, INDArray, boolean, boolean, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Matrix multiplication/dot product.
See Nd4j.matmul(INDArray, INDArray, INDArray, boolean, boolean, boolean)

matmul(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Matrix multiplication/dot product.
See Nd4j.matmul(INDArray, INDArray, INDArray, boolean, boolean, boolean)

matmul(INDArray, INDArray, INDArray, boolean, boolean, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Matrix multiplication/dot product Depending on inputs dimensionality output result might be different.

matricesPerSlice(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath

The number of vectors in each slice of an ndarray.

matrixBandPart(String[], SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Copy a tensor setting outside a central band in each innermost matrix.

matrixBandPart(SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Copy a tensor setting outside a central band in each innermost matrix.

matrixBandPart(INDArray, int, int) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Copy a tensor setting outside a central band in each innermost matrix.

MatrixBandPart - Class in org.nd4j.linalg.api.ops.custom

MatrixBandPart(SameDiff, SDVariable, int, int) - Constructor for class org.nd4j.linalg.api.ops.custom.MatrixBandPart

MatrixBandPart(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.MatrixBandPart

MatrixBandPart(INDArray, int, int) - Constructor for class org.nd4j.linalg.api.ops.custom.MatrixBandPart

matrixDeterminant(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates matrix determinant.

matrixDeterminant(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Matrix determinant op.

matrixDeterminant(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates matrix determinant.

matrixDeterminant(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Matrix determinant op.

matrixDeterminant(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Calculates matrix determinant.

matrixDeterminant(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Matrix determinant op.

MatrixDeterminant - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

MatrixDeterminant() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDeterminant

MatrixDeterminant(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDeterminant

MatrixDeterminant(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDeterminant

MatrixDeterminant(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDeterminant

MatrixDiag - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

MatrixDiag() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiag

MatrixDiag(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiag

MatrixDiagPart - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

MatrixDiagPart() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiagPart

MatrixDiagPart(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiagPart

matrixInverse(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Inverts a matrix

matrixInverse(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Matrix inverse op.

matrixInverse(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Inverts a matrix

matrixInverse(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Matrix inverse op.

matrixInverse(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Inverts a matrix

matrixInverse(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Matrix inverse op.

MatrixInverse - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

MatrixInverse() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixInverse

MatrixInverse(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixInverse

MatrixInverse(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixInverse

MatrixInverse(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixInverse

MatrixSetDiag - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

MatrixSetDiag() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixSetDiag

MatrixSetDiag(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixSetDiag

MatrixSetDiag(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixSetDiag

MatrixSetDiag(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixSetDiag

matthewsCorrelation(int) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the binary Mathews correlation coefficient, for the specified class.
MCC = (TP*TN - FP*FN) / sqrt((TP+FP)(TP+FN)(TN+FP)(TN+FN))

matthewsCorrelation(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Calculate the Matthews correlation coefficient for the specified output

matthewsCorrelation(long, long, long, long) - Static method in class org.nd4j.evaluation.EvaluationUtils

Calculate the binary Matthews correlation coefficient from counts

matthewsCorrelation(EvaluationAveraging) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the average binary Mathews correlation coefficient, using macro or micro averaging.
MCC = (TP*TN - FP*FN) / sqrt((TP+FP)(TP+FN)(TN+FP)(TN+FN))
Note: This is NOT the same as the multi-class Matthews correlation coefficient

max - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

max() - Method in class org.nd4j.graph.UISummaryStatistics

max(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.max(String, boolean, int...)

max(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

max(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall max of this ndarray along given dimensions

max(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.max(String, boolean, int...)

max(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

max(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall max of this ndarray along given dimensions

max(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Maximum array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

max(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.max(String, boolean, int...)

max(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Max array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

max(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Max array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

max(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise maximum operation: out[i] = max(first[i], second[i])
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

max(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise max operation, out = max(x, y)
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

max(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Max array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

max(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Max array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

max(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise maximum operation: out[i] = max(first[i], second[i])
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

max(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise max operation, out = max(x, y)
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

max(FlatArray) - Method in class org.nd4j.graph.UISummaryStatistics

max(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.max(int...) with Integer.MAX_VALUE for full array reduction.

max(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Max array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

max(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Maximum function with a scalar

max(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Maximum function with a scalar

max(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.max(int...) with Integer.MAX_VALUE for full array reduction.

max(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Max array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

max(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Element-wise maximum operation: out[i] = max(first[i], second[i])
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

max(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise max operation, out = max(x, y)
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

max(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Element wise maximum function between 2 INDArrays

max(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Element wise maximum function between 2 INDArrays

max(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast max op.

Max - Class in org.nd4j.linalg.api.ops.impl.reduce.same

Max - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Max - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Max() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

Max() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Max

Max(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

Max(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

Max(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Max

Max(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

Max(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Initialize with the given input, pairwise transform, result, and number of elements

Max(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

Max(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

Max(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Max

Max(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

Max(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Max

MAX - org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D.Pooling2DType

MAX - org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D.Pooling2DType

MAX - org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D.Pooling3DType

MAX_BYTE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeOutputInfo

MAX_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto

MAX_FOLDED_CONSTANT_IN_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OptimizerOptions

MAX_TO_KEEP_FIELD_NUMBER - Static variable in class org.tensorflow.util.SaverDef

maxArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns maximum number of shapes being passed per Aggregate

maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

MaxBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

MaxBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp

MaxBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp

MaxBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp

MaxBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp

MaxBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp

MaxBp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp

MaxBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp

MaxBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp

maxCycle - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

MAXIMUM_ITERATIONS_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

MaximumBp - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

MaximumBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MaximumBp

maxIndexArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns maximum number of IndexArguments per Aggregate

maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

maxIntArrays() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns maximum number of IntArrays being passed per Aggregate

maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

maxIntArraySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns maximum length for IntArrays, if any

maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

maxMasterThreads() - Method in interface org.nd4j.linalg.factory.Environment

Returns the maximum number of master threads for C++ op execution (if applicable)

maxMs() - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.OpExec

maxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

maxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns maximum value in this INDArray

MaxOut - Class in org.nd4j.linalg.api.ops.impl.transforms

MaxOut() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

MaxOut(SameDiff, SDVariable, boolean, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

MaxOut(SameDiff, SDVariable, Object[], Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

MaxOut(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

MaxOut(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

maxPooling2d(String, SDVariable, Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution layer operation - max pooling 2d

maxPooling2d(SDVariable, Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution layer operation - max pooling 2d

maxPooling2d(INDArray, Pooling2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

2D Convolution layer operation - max pooling 2d

MaxPooling2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Max Pooling2D operation

MaxPooling2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

MaxPooling2D(SameDiff, SDVariable, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

MaxPooling2D(INDArray, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

MaxPooling2D(INDArray, INDArray, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

maxPooling3d(String, SDVariable, Pooling3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D convolution layer operation - max pooling 3d operation.

maxPooling3d(SDVariable, Pooling3DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D convolution layer operation - max pooling 3d operation.

maxPooling3d(INDArray, Pooling3DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

3D convolution layer operation - max pooling 3d operation.

MaxPooling3D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

MaxPooling3D(SameDiff, SDVariable, Pooling3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

MaxPooling3D(INDArray, INDArray, Pooling3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

MaxPooling3D(INDArray, Pooling3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

maxPoolWithArgmax(String[], SDVariable, Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution layer operation - Max pooling on the input and outputs both max values and indices

maxPoolWithArgmax(SDVariable, Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution layer operation - Max pooling on the input and outputs both max values and indices

maxPoolWithArgmax(INDArray, Pooling2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

2D Convolution layer operation - Max pooling on the input and outputs both max values and indices

MaxPoolWithArgmax - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

MaxPoolWithArgmax() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

MaxPoolWithArgmax(INDArray, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

MaxPoolWithArgmax(INDArray, INDArray, INDArray, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

MaxPoolWithArgmax(SameDiff, SDVariable, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

maxProfileIterations(int) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener.Builder

Set a limit on the maximum number of iterations to profile (after warmup, if any).

maxProfilerMilliseconds(long) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener.Builder

Set a limit on the maximum duration for profiling, in milliseconds.

maxRealArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns maximum number of real (float/double) per Aggregate

maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

maxShapes() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns maximum number of shapes being passed per Aggregate

maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

maxSize - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

This variable specifies maximal workspace size

maxThreads() - Method in interface org.nd4j.linalg.factory.Environment

Returns the maximum number of threads for C++ op execution (if applicable)

maxWarningClassesToPrint - Variable in class org.nd4j.evaluation.classification.Evaluation

For stats(): When classes are excluded from precision/recall, what is the maximum number we should print? If this is set to a high value, the output (potentially thousands of classes) can become unreadable.

MAYBE_TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto

MCC - org.nd4j.evaluation.classification.Evaluation.Metric

MCC - org.nd4j.evaluation.classification.EvaluationBinary.Metric

MCXENT - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

mean - Variable in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

mean() - Method in class org.nd4j.graph.UISummaryStatistics

mean(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.mean(String, boolean, int...)

mean(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mean(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall mean of this ndarray

mean(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.mean(String, boolean, int...)

mean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mean(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall mean of this ndarray

mean(INDArray, boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mean(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mean(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

mean(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.mean(String, boolean, int...)

mean(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.mean(int...) with Integer.MAX_VALUE for full array reduction.

mean(INDArray, boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall mean of this ndarray

mean(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.mean(int...)with Integer.MAX_VALUE for full array reduction.

mean(INDArray, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall mean of this ndarray

mean(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

mean(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDBase

Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

mean(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

Mean - Class in org.nd4j.linalg.api.ops.impl.reduce.floating

Mean() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

Mean(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

MEAN_ABSOLUTE_ERROR - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

MEAN_ABSOLUTE_PERCENTAGE_ERROR - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

MEAN_BY_NONZERO_WEIGHT_COUNT - org.nd4j.autodiff.loss.LossReduce

Weighted mean: sum(weights * perOutputLoss) / count(weights != 0)
Example: 2d input, mean squared error loss.
Output: squared_error_per_ex = weights * squaredDifference(predictions,labels)
output = sum(squared_error_per_ex) / count(weights != 0)
NOTE: if weights array is not provided, then weights default to scalar 1.0 and hence MEAN_BY_NONZERO_WEIGHT_COUNT is equivalent to MEAN_BY_WEIGHT

MEAN_BY_NONZERO_WEIGHT_COUNT - Static variable in class org.nd4j.graph.LossReduce

MEAN_BY_WEIGHT - org.nd4j.autodiff.loss.LossReduce

Weighted mean: sum(weights * perOutputLoss) / sum(weights) - gives a single scalar output
Example: 2d input, mean squared error
Output: squared_error_per_ex = weights * squaredDifference(predictions,labels)
output = sum(squared_error_per_ex) / sum(weights)

NOTE: if weights array is not provided, then weights default to 1.0 for all entries - and hence MEAN_BY_WEIGHT is equivalent to MEAN_BY_NONZERO_WEIGHT_COUNT

MEAN_BY_WEIGHT - Static variable in class org.nd4j.graph.LossReduce

MEAN_MAGNITUDE - org.nd4j.autodiff.listeners.impl.UIListener.UpdateRatio

MEAN_SQUARED_LOGARITHMIC_ERROR - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

meanAbsoluteError(int) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

MeanBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

MeanBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp

MeanBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp

MeanBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp

MeanBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp

MeanBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp

MeanBp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp

MeanBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp

MeanBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp

meanLoss(int) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Get the mean loss for a given epoch If epoch is negative, counts backwards from the end.

meanLoss(String) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return all mean loss values for a given variable

meanLoss(String, int) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return the mean loss value for a given variable on a given epoch.

meanLoss(SDVariable) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return all mean loss values for a given variable

meanLoss(SDVariable, int) - Method in class org.nd4j.autodiff.listeners.records.LossCurve

Return the mean loss value for a given variable on a given epoch.

meanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

meanNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall mean of this ndarray

meanPairwiseSquaredError(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Mean pairwise squared error.
MPWSE loss calculates the difference between pairs of consecutive elements in the predictions and labels arrays.
For example, if predictions = [p0, p1, p2] and labels are [l0, l1, l2] then MPWSE is:
[((p0-p1) - (l0-l1))^2 + ((p0-p2) - (l0-l2))^2 + ((p1-p2) - (l1-l2))^2] / 3

meanPairwiseSquaredError(String, SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Mean pairwise squared error.
MPWSE loss calculates the difference between pairs of consecutive elements in the predictions and labels arrays.
For example, if predictions = [p0, p1, p2] and labels are [l0, l1, l2] then MPWSE is:
[((p0-p1) - (l0-l1))^2 + ((p0-p2) - (l0-l2))^2 + ((p1-p2) - (l1-l2))^2] / 3

meanPairwiseSquaredError(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Mean pairwise squared error.
MPWSE loss calculates the difference between pairs of consecutive elements in the predictions and labels arrays.
For example, if predictions = [p0, p1, p2] and labels are [l0, l1, l2] then MPWSE is:
[((p0-p1) - (l0-l1))^2 + ((p0-p2) - (l0-l2))^2 + ((p1-p2) - (l1-l2))^2] / 3

meanPairwiseSquaredError(SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Mean pairwise squared error.
MPWSE loss calculates the difference between pairs of consecutive elements in the predictions and labels arrays.
For example, if predictions = [p0, p1, p2] and labels are [l0, l1, l2] then MPWSE is:
[((p0-p1) - (l0-l1))^2 + ((p0-p2) - (l0-l2))^2 + ((p1-p2) - (l1-l2))^2] / 3

meanPairwiseSquaredError(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Mean pairwise squared error.
MPWSE loss calculates the difference between pairs of consecutive elements in the predictions and labels arrays.
For example, if predictions = [p0, p1, p2] and labels are [l0, l1, l2] then MPWSE is:
[((p0-p1) - (l0-l1))^2 + ((p0-p2) - (l0-l2))^2 + ((p1-p2) - (l1-l2))^2] / 3

meanPairwiseSquaredError(INDArray, INDArray, INDArray, LossReduce) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Mean pairwise squared error.
MPWSE loss calculates the difference between pairs of consecutive elements in the predictions and labels arrays.
For example, if predictions = [p0, p1, p2] and labels are [l0, l1, l2] then MPWSE is:
[((p0-p1) - (l0-l1))^2 + ((p0-p2) - (l0-l2))^2 + ((p1-p2) - (l1-l2))^2] / 3

MeanPairwiseSquaredErrorLoss - Class in org.nd4j.linalg.api.ops.impl.loss

Mean Pairwise Squared Error Loss

MeanPairwiseSquaredErrorLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.MeanPairwiseSquaredErrorLoss

MeanPairwiseSquaredErrorLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.MeanPairwiseSquaredErrorLoss

MeanPairwiseSquaredErrorLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.MeanPairwiseSquaredErrorLoss

MeanPairwiseSquaredErrorLoss(INDArray, INDArray, INDArray, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.MeanPairwiseSquaredErrorLoss

MeanPairwiseSquaredErrorLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

MeanPairwiseSquaredErrorLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.MeanPairwiseSquaredErrorLossBp

MeanPairwiseSquaredErrorLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.MeanPairwiseSquaredErrorLossBp

meanSquaredError(int) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

meanSquaredError(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Mean squared error loss function.

meanSquaredError(String, SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Mean squared error loss function.

meanSquaredError(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Mean squared error loss function.

meanSquaredError(SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Mean squared error loss function.

meanSquaredError(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Mean squared error loss function.

meanSquaredError(INDArray, INDArray, INDArray, LossReduce) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Mean squared error loss function.

MeanSquaredErrorLoss - Class in org.nd4j.linalg.api.ops.impl.loss

MeanSquaredErrorLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.MeanSquaredErrorLoss

MeanSquaredErrorLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.MeanSquaredErrorLoss

MeanSquaredErrorLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.MeanSquaredErrorLoss

MeanSquaredErrorLoss(INDArray, INDArray, INDArray, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.MeanSquaredErrorLoss

MeanSquaredErrorLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

MeanSquaredErrorLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.MeanSquaredErrorLossBp

MeanSquaredErrorLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.MeanSquaredErrorLossBp

median(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

median(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns median along given dimension(s)

medianNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

medianNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns median value for this INDArray

memcpy(DataBuffer, DataBuffer) - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

memcpy(DataBuffer, DataBuffer) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method does memcpy from source buffer to destination buffer PLEASE NOTE: This method is NOT safe.

MemcpyDirection - Enum in org.nd4j.linalg.api.memory

MEMORY_BANDWIDTH_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

MEMORY_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes

MEMORY_LIMIT_MB_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

MEMORY_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

MEMORY_SIZE_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

MEMORY_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

MEMORY_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

MemoryKind - Enum in org.nd4j.linalg.api.memory.enums

MemoryLogRawAllocation - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogRawAllocation

MemoryLogRawAllocation.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogRawAllocation

MemoryLogRawAllocationOrBuilder - Interface in org.tensorflow.framework

MemoryLogRawDeallocation - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogRawDeallocation

MemoryLogRawDeallocation.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogRawDeallocation

MemoryLogRawDeallocationOrBuilder - Interface in org.tensorflow.framework

MemoryLogStep - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogStep

MemoryLogStep.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogStep

MemoryLogStepOrBuilder - Interface in org.tensorflow.framework

MemoryLogTensorAllocation - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogTensorAllocation

MemoryLogTensorAllocation.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogTensorAllocation

MemoryLogTensorAllocationOrBuilder - Interface in org.tensorflow.framework

MemoryLogTensorDeallocation - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogTensorDeallocation

MemoryLogTensorDeallocation.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogTensorDeallocation

MemoryLogTensorDeallocationOrBuilder - Interface in org.tensorflow.framework

MemoryLogTensorOutput - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogTensorOutput

MemoryLogTensorOutput.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.MemoryLogTensorOutput

MemoryLogTensorOutputOrBuilder - Interface in org.tensorflow.framework

memoryManager - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

MemoryManager - Interface in org.nd4j.linalg.api.memory

MemoryStats - Class in org.tensorflow.framework

For memory tracking.

MemoryStats.Builder - Class in org.tensorflow.framework

For memory tracking.

MemoryStatsOrBuilder - Interface in org.tensorflow.framework

MemoryStrategy - Interface in org.nd4j.linalg.api.buffer.allocation

MemoryWorkspace - Interface in org.nd4j.linalg.api.memory

MemoryWorkspace.Type - Enum in org.nd4j.linalg.api.memory

MemoryWorkspaceManager - Interface in org.nd4j.linalg.api.memory

memset(INDArray) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method fills given INDArray with zeroes.

merge(TFImportStatus) - Method in class org.nd4j.imports.tensorflow.TFImportStatus

merge(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

The merge operation is a control operation that forwards the either of the inputs to the output, when
the first of them becomes available.

merge(Collection<? extends MultiDataSet>) - Static method in class org.nd4j.linalg.dataset.MultiDataSet

Merge a collection of MultiDataSet objects into a single MultiDataSet.

merge(List<? extends DataSet>) - Static method in class org.nd4j.linalg.dataset.DataSet

Merge the list of datasets in to one list.

merge(List<T>, List<T>) - Method in interface org.nd4j.evaluation.custom.MergeLambda

merge(ListenerVariables) - Method in class org.nd4j.autodiff.listeners.ListenerVariables

Return a new ListenerVariables that contains the variables of this ListenerVariables and of other

merge(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

The merge operation is a control operation that forwards the either of the inputs to the output, when
the first of them becomes available.

merge(Evaluation) - Method in class org.nd4j.evaluation.classification.Evaluation

Merge the other evaluation object into this one.

merge(EvaluationBinary) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Merge the other evaluation object into this one.

merge(EvaluationCalibration) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

merge(ROC) - Method in class org.nd4j.evaluation.classification.ROC

Merge this ROC instance with another.

merge(ROCBinary) - Method in class org.nd4j.evaluation.classification.ROCBinary

merge(ROCMultiClass) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Merge this ROCMultiClass instance with another.

merge(CustomEvaluation) - Method in class org.nd4j.evaluation.custom.CustomEvaluation

merge(RegressionEvaluation) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

merge(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

The merge operation is a control operation that forwards the either of the inputs to the output, when
the first of them becomes available.

merge(T) - Method in interface org.nd4j.evaluation.IEvaluation

Merge - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat

Merge() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

Merge(SameDiff, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

Merge(INDArray...) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

merge2d(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Merge the specified 2d arrays and masks.

merge2d(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Merge the specified 2d arrays and masks.

merge4d(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Merge the specified 4d arrays and masks.

merge4d(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Merge the specified 4d arrays and masks.

mergeAdd(String, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Merge add function: merges an arbitrary number of equal shaped arrays using element-wise addition:
out = sum_i in[i]

mergeAdd(SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Merge add function: merges an arbitrary number of equal shaped arrays using element-wise addition:
out = sum_i in[i]

mergeAdd(INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Merge add function: merges an arbitrary number of equal shaped arrays using element-wise addition:
out = sum_i in[i]

MergeAddBp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

MergeAddBp(SameDiff, SDVariable[], SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.MergeAddBp

MergeAddOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

MergeAddOp(INDArray...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp

MergeAddOp(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp

MergeAddOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp

MergeAddOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp

mergeAlgorithm(Onnx.GraphProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field represents a training algorithm step.

mergeAlgorithm(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

mergeAllocationDescription(AllocationDescription) - Method in class org.tensorflow.framework.TensorDescription.Builder

Information about the size and allocator used for the data

mergeAllowedValues(AttrValue) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

A list of values that this kernel supports for this attr.

mergeAllowedValues(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

The set of allowed values.

mergeAnyInfo(Any) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A serialized protobuf.

mergeAnyList(CollectionDef.AnyList) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.AnyList any_list = 5;

mergeAudio(Summary.Audio) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Audio audio = 6;

mergeAutoParallel(AutoParallelOptions) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

mergeAvg(String, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Merge average function: merges an arbitrary number of equal shaped arrays using element-wise mean operation:
out = mean_i in[i]

mergeAvg(SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Merge average function: merges an arbitrary number of equal shaped arrays using element-wise mean operation:
out = mean_i in[i]

mergeAvg(INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Merge average function: merges an arbitrary number of equal shaped arrays using element-wise mean operation:
out = mean_i in[i]

MergeAvg - Class in org.nd4j.linalg.api.ops.impl.shape

MergeAvg() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeAvg

MergeAvg(SameDiff, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeAvg

MergeAvg(INDArray...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeAvg

MergeAvgBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp

MergeAvgBp(SameDiff, SDVariable[], SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.MergeAvgBp

mergeBytesList(CollectionDef.BytesList) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

mergeClientLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on client-side device locality.

mergeClientLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on client-side device locality.

mergeCluster(ClusterDef) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The cluster of which this server is a member.

mergeClusterDef(ClusterDef) - Method in class org.tensorflow.framework.ConfigProto.Builder

Optional list of all workers to use in this session.

mergeConcatenate() - Static method in class org.nd4j.evaluation.custom.CustomEvaluation

A MergeLambda that merges by concatenating the two lists

mergeCondCtxt(CondContextDef) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.CondContextDef cond_ctxt = 1;

mergeConfig(ConfigProto) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

Configuration options.

mergeCooSparse(TensorInfo.CooSparse) - Method in class org.tensorflow.framework.TensorInfo.Builder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

mergeCostGraph(CostGraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

.tensorflow.CostGraphDef cost_graph = 3;

mergeCostGraph(CostGraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder

The cost graph for the computation defined by the run call.

mergeDebugOptions(DebugOptions) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Field(s) used by TensorFlow Debugger (tfdbg).

mergeDebugOptions(DebugOptions) - Method in class org.tensorflow.framework.RunOptions.Builder

EXPERIMENTAL.

mergeDefaultSessionConfig(ConfigProto) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The default configuration for sessions that run on this server.

mergeDefaultValue(AttrValue) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Specify a new default value to use for this attr.

mergeDefaultValue(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A reasonable default for this attribute if the user does not supply a value.

mergeDeprecation(OpDeprecation) - Method in class org.tensorflow.framework.OpDef.Builder

Optional deprecation based on GraphDef versions.

mergeElemType(Onnx.TypeProto) - Method in class onnx.Onnx.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

mergeElemType(Onnx.TypeProto) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

mergeElemType(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

mergeElemType(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

mergeExecOpts(ExecutorOpts) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Options for this step.

mergeExperimental(ConfigProto.Experimental) - Method in class org.tensorflow.framework.ConfigProto.Builder

.tensorflow.ConfigProto.Experimental experimental = 16;

mergeExperimental(GPUOptions.Experimental) - Method in class org.tensorflow.framework.GPUOptions.Builder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

mergeExperimental(RunOptions.Experimental) - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.Experimental experimental = 8;

mergeFeatures(INDArray[][], INDArray[][]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Merge all of the features arrays into one minibatch.

mergeFeatures(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Merge the specified features and mask arrays (i.e., concatenate the examples)

mergeFeatures(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Extract out the specified column, and merge the specified features and mask arrays (i.e., concatenate the examples)

mergeFloatList(CollectionDef.FloatList) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.FloatList float_list = 4;

mergeFrom(Onnx.AttributeProto) - Method in class onnx.Onnx.AttributeProto.Builder

mergeFrom(Onnx.FunctionProto) - Method in class onnx.Onnx.FunctionProto.Builder

mergeFrom(Onnx.GraphProto) - Method in class onnx.Onnx.GraphProto.Builder

mergeFrom(Onnx.ModelProto) - Method in class onnx.Onnx.ModelProto.Builder

mergeFrom(Onnx.NodeProto) - Method in class onnx.Onnx.NodeProto.Builder

mergeFrom(Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

mergeFrom(Onnx.SparseTensorProto) - Method in class onnx.Onnx.SparseTensorProto.Builder

mergeFrom(Onnx.StringStringEntryProto) - Method in class onnx.Onnx.StringStringEntryProto.Builder

mergeFrom(Onnx.TensorAnnotation) - Method in class onnx.Onnx.TensorAnnotation.Builder

mergeFrom(Onnx.TensorProto) - Method in class onnx.Onnx.TensorProto.Builder

mergeFrom(Onnx.TensorProto.Segment) - Method in class onnx.Onnx.TensorProto.Segment.Builder

mergeFrom(Onnx.TensorShapeProto) - Method in class onnx.Onnx.TensorShapeProto.Builder

mergeFrom(Onnx.TensorShapeProto.Dimension) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

mergeFrom(Onnx.TrainingInfoProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

mergeFrom(Onnx.TypeProto) - Method in class onnx.Onnx.TypeProto.Builder

mergeFrom(Onnx.TypeProto.Map) - Method in class onnx.Onnx.TypeProto.Map.Builder

mergeFrom(Onnx.TypeProto.Optional) - Method in class onnx.Onnx.TypeProto.Optional.Builder

mergeFrom(Onnx.TypeProto.Sequence) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

mergeFrom(Onnx.TypeProto.SparseTensor) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

mergeFrom(Onnx.TypeProto.Tensor) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

mergeFrom(Onnx.ValueInfoProto) - Method in class onnx.Onnx.ValueInfoProto.Builder

mergeFrom(OnnxMl.AttributeProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

mergeFrom(OnnxMl.FunctionProto) - Method in class onnx.OnnxMl.FunctionProto.Builder

mergeFrom(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.GraphProto.Builder

mergeFrom(OnnxMl.ModelProto) - Method in class onnx.OnnxMl.ModelProto.Builder

mergeFrom(OnnxMl.NodeProto) - Method in class onnx.OnnxMl.NodeProto.Builder

mergeFrom(OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

mergeFrom(OnnxMl.SparseTensorProto) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

mergeFrom(OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

mergeFrom(OnnxMl.TensorAnnotation) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

mergeFrom(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.TensorProto.Builder

mergeFrom(OnnxMl.TensorProto.Segment) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

mergeFrom(OnnxMl.TensorShapeProto) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

mergeFrom(OnnxMl.TensorShapeProto.Dimension) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

mergeFrom(OnnxMl.TrainingInfoProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

mergeFrom(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.TypeProto.Builder

mergeFrom(OnnxMl.TypeProto.Map) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

mergeFrom(OnnxMl.TypeProto.Opaque) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

mergeFrom(OnnxMl.TypeProto.Optional) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

mergeFrom(OnnxMl.TypeProto.Sequence) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

mergeFrom(OnnxMl.TypeProto.SparseTensor) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

mergeFrom(OnnxMl.TypeProto.Tensor) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

mergeFrom(OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

mergeFrom(OnnxOperators.OperatorProto) - Method in class onnx.OnnxOperators.OperatorProto.Builder

mergeFrom(OnnxOperators.OperatorSetProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

mergeFrom(MapperNamespace.MapperDeclaration) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

mergeFrom(MapperNamespace.MappingDefinitionSet) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

mergeFrom(MapperNamespace.MappingRule) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

mergeFrom(MapperNamespace.TransformerArgs) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

mergeFrom(OpNamespace.ArgDescriptor) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

mergeFrom(OpNamespace.OpDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

mergeFrom(OpNamespace.OpDescriptorList) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

mergeFrom(TensorNamespace.StringStringEntryProto) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

mergeFrom(TensorNamespace.TensorProto) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

mergeFrom(TensorNamespace.TensorProto.Segment) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

mergeFrom(TensorNamespace.TensorShapeProto) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

mergeFrom(TensorNamespace.TensorShapeProto.Dimension) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

mergeFrom(TensorNamespace.TypeProto) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

mergeFrom(TensorNamespace.TypeProto.TensorDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

mergeFrom(TensorNamespace.ValueInfoProto) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.AttributeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.FunctionProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.GraphProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.ModelProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.NodeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.SparseTensorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.StringStringEntryProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TensorAnnotation.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TensorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TensorProto.Segment.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TensorShapeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TrainingInfoProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TypeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TypeProto.Map.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TypeProto.Optional.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.Onnx.ValueInfoProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.AttributeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.FunctionProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.GraphProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.ModelProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.NodeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TensorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TypeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxOperators.OperatorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.JobDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.ServerDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.StepSequence.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AllocationDescription.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AllocationRecord.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDefs.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AssetFileDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AttrValue.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CallableOptions.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CollectionDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CondContextDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ConfigProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CostGraphDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DebugOptions.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DeviceLocality.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.FunctionDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GPUOptions.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GradientDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphOptions.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.HistogramProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.InterconnectLink.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.KernelDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.LocalLinks.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryStats.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.NameAttrList.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.NodeDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.NodeExecStats.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.NodeOutput.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpDeprecation.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpList.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RewriterConfig.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RPCOptions.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RunMetadata.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RunOptions.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SavedModel.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SignatureDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.StepStats.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.Summary.Audio.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.Summary.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.Summary.Image.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.Summary.Value.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SummaryDescription.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorConnection.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorDescription.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorInfo.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ValuesDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.VariableDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.VersionDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.WhileContextDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.util.BundleEntryProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.util.SaverDef.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

mergeFrom(Message) - Method in class onnx.Onnx.AttributeProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.FunctionProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.GraphProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.ModelProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.NodeProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.SparseTensorProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.StringStringEntryProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TensorAnnotation.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TensorProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TensorProto.Segment.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TensorShapeProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TrainingInfoProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TypeProto.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TypeProto.Map.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TypeProto.Optional.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

mergeFrom(Message) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

mergeFrom(Message) - Method in class onnx.Onnx.ValueInfoProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.AttributeProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.FunctionProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.GraphProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.ModelProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.NodeProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TensorProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TypeProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

mergeFrom(Message) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxOperators.OperatorProto.Builder

mergeFrom(Message) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

mergeFrom(Message) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.JobDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.ServerDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.StepSequence.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

mergeFrom(Message) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.AllocationDescription.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.AllocationRecord.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDefs.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.AssetFileDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.AttrValue.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CallableOptions.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CollectionDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CondContextDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ConfigProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CostGraphDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.DebugOptions.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.DeviceLocality.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.FunctionDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GPUOptions.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GradientDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphOptions.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.HistogramProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.InterconnectLink.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.KernelDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.LocalLinks.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryStats.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.NameAttrList.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.NodeDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.NodeExecStats.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.NodeOutput.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.OpDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.OpDeprecation.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.OpList.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.RewriterConfig.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.RPCOptions.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.RunMetadata.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.RunOptions.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.SavedModel.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.SignatureDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.StepStats.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.Summary.Audio.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.Summary.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.Summary.Image.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.Summary.Value.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.SummaryDescription.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.TensorConnection.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.TensorDescription.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.TensorInfo.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.TensorProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.ValuesDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.VariableDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.VersionDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.framework.WhileContextDef.Builder

mergeFrom(Message) - Method in class org.tensorflow.util.BundleEntryProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

mergeFrom(Message) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

mergeFrom(Message) - Method in class org.tensorflow.util.SaverDef.Builder

mergeFrom(Message) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

mergeFrom(Message) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

mergeFrom(Message) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

mergeFrom(Message) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

mergeFrom(Message) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

mergeFrom(Message) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

mergeFrom(Message) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

mergeFrom(Message) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

mergeFrom(Message) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

mergeFrom(CleanupAllRequest) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

mergeFrom(CleanupAllResponse) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

mergeFrom(CleanupGraphRequest) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

mergeFrom(CleanupGraphResponse) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

mergeFrom(CloseSessionRequest) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

mergeFrom(CloseSessionResponse) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

mergeFrom(ClusterDef) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

mergeFrom(CompleteGroupRequest) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

mergeFrom(CompleteGroupResponse) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

mergeFrom(CompleteInstanceRequest) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

mergeFrom(CompleteInstanceResponse) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

mergeFrom(CreateSessionRequest) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

mergeFrom(CreateSessionResponse) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

mergeFrom(CreateWorkerSessionRequest) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

mergeFrom(CreateWorkerSessionResponse) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

mergeFrom(DeleteWorkerSessionRequest) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

mergeFrom(DeleteWorkerSessionResponse) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

mergeFrom(DeregisterGraphRequest) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

mergeFrom(DeregisterGraphResponse) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

mergeFrom(ExecutorOpts) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

mergeFrom(ExtendSessionRequest) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

mergeFrom(ExtendSessionResponse) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

mergeFrom(GetStatusRequest) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

mergeFrom(GetStatusResponse) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

mergeFrom(GetStepSequenceRequest) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

mergeFrom(GetStepSequenceResponse) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

mergeFrom(JobDef) - Method in class org.tensorflow.distruntime.JobDef.Builder

mergeFrom(LabeledStepStats) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

mergeFrom(ListDevicesRequest) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

mergeFrom(ListDevicesResponse) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

mergeFrom(LoggingRequest) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

mergeFrom(LoggingResponse) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

mergeFrom(MakeCallableRequest) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

mergeFrom(MakeCallableResponse) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

mergeFrom(PartialRunSetupRequest) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

mergeFrom(PartialRunSetupResponse) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

mergeFrom(RecvBufRequest) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

mergeFrom(RecvBufResponse) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

mergeFrom(RecvTensorRequest) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

mergeFrom(RecvTensorResponse) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

mergeFrom(RegisterGraphRequest) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

mergeFrom(RegisterGraphResponse) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

mergeFrom(ReleaseCallableRequest) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

mergeFrom(ReleaseCallableResponse) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

mergeFrom(ResetRequest) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

mergeFrom(ResetResponse) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

mergeFrom(RunCallableRequest) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

mergeFrom(RunCallableResponse) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

mergeFrom(RunGraphRequest) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

mergeFrom(RunGraphResponse) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

mergeFrom(RunStepRequest) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

mergeFrom(RunStepResponse) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

mergeFrom(ServerDef) - Method in class org.tensorflow.distruntime.ServerDef.Builder

mergeFrom(StepSequence) - Method in class org.tensorflow.distruntime.StepSequence.Builder

mergeFrom(TraceOpts) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

mergeFrom(TracingRequest) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

mergeFrom(TracingResponse) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

mergeFrom(AllocationDescription) - Method in class org.tensorflow.framework.AllocationDescription.Builder

mergeFrom(AllocationRecord) - Method in class org.tensorflow.framework.AllocationRecord.Builder

mergeFrom(AllocatorMemoryUsed) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

mergeFrom(ApiDef) - Method in class org.tensorflow.framework.ApiDef.Builder

mergeFrom(ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

mergeFrom(ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

mergeFrom(ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

mergeFrom(ApiDefs) - Method in class org.tensorflow.framework.ApiDefs.Builder

mergeFrom(AssetFileDef) - Method in class org.tensorflow.framework.AssetFileDef.Builder

mergeFrom(AttrValue) - Method in class org.tensorflow.framework.AttrValue.Builder

mergeFrom(AttrValue.ListValue) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

mergeFrom(AutoParallelOptions) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

mergeFrom(CallableOptions) - Method in class org.tensorflow.framework.CallableOptions.Builder

mergeFrom(CollectionDef) - Method in class org.tensorflow.framework.CollectionDef.Builder

mergeFrom(CollectionDef.AnyList) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

mergeFrom(CollectionDef.BytesList) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

mergeFrom(CollectionDef.FloatList) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

mergeFrom(CollectionDef.Int64List) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

mergeFrom(CollectionDef.NodeList) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

mergeFrom(CondContextDef) - Method in class org.tensorflow.framework.CondContextDef.Builder

mergeFrom(ConfigProto) - Method in class org.tensorflow.framework.ConfigProto.Builder

mergeFrom(ConfigProto.Experimental) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

mergeFrom(ControlFlowContextDef) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

mergeFrom(CostGraphDef) - Method in class org.tensorflow.framework.CostGraphDef.Builder

mergeFrom(CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

mergeFrom(CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

mergeFrom(CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

mergeFrom(CriticalSectionDef) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

mergeFrom(CriticalSectionExecutionDef) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

mergeFrom(DebuggedSourceFile) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

mergeFrom(DebuggedSourceFiles) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

mergeFrom(DebugOptions) - Method in class org.tensorflow.framework.DebugOptions.Builder

mergeFrom(DebugTensorWatch) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

mergeFrom(DeviceAttributes) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

mergeFrom(DeviceLocality) - Method in class org.tensorflow.framework.DeviceLocality.Builder

mergeFrom(DeviceStepStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

mergeFrom(FunctionDef) - Method in class org.tensorflow.framework.FunctionDef.Builder

mergeFrom(FunctionDefLibrary) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

mergeFrom(GPUOptions) - Method in class org.tensorflow.framework.GPUOptions.Builder

mergeFrom(GPUOptions.Experimental) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

mergeFrom(GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

mergeFrom(GradientDef) - Method in class org.tensorflow.framework.GradientDef.Builder

mergeFrom(GraphDef) - Method in class org.tensorflow.framework.GraphDef.Builder

mergeFrom(GraphOptions) - Method in class org.tensorflow.framework.GraphOptions.Builder

mergeFrom(GraphTransferConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

mergeFrom(GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

mergeFrom(GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

mergeFrom(GraphTransferInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

mergeFrom(GraphTransferNodeInfo) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

mergeFrom(GraphTransferNodeInput) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

mergeFrom(GraphTransferNodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

mergeFrom(GraphTransferNodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

mergeFrom(HistogramProto) - Method in class org.tensorflow.framework.HistogramProto.Builder

mergeFrom(InterconnectLink) - Method in class org.tensorflow.framework.InterconnectLink.Builder

mergeFrom(KernelDef) - Method in class org.tensorflow.framework.KernelDef.Builder

mergeFrom(KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

mergeFrom(LocalLinks) - Method in class org.tensorflow.framework.LocalLinks.Builder

mergeFrom(MemoryLogRawAllocation) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

mergeFrom(MemoryLogRawDeallocation) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

mergeFrom(MemoryLogStep) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

mergeFrom(MemoryLogTensorAllocation) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

mergeFrom(MemoryLogTensorDeallocation) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

mergeFrom(MemoryLogTensorOutput) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

mergeFrom(MemoryStats) - Method in class org.tensorflow.framework.MemoryStats.Builder

mergeFrom(MetaGraphDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

mergeFrom(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

mergeFrom(NameAttrList) - Method in class org.tensorflow.framework.NameAttrList.Builder

mergeFrom(NamedTensorProto) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

mergeFrom(NodeDef) - Method in class org.tensorflow.framework.NodeDef.Builder

mergeFrom(NodeExecStats) - Method in class org.tensorflow.framework.NodeExecStats.Builder

mergeFrom(NodeOutput) - Method in class org.tensorflow.framework.NodeOutput.Builder

mergeFrom(OpDef) - Method in class org.tensorflow.framework.OpDef.Builder

mergeFrom(OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

mergeFrom(OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

mergeFrom(OpDeprecation) - Method in class org.tensorflow.framework.OpDeprecation.Builder

mergeFrom(OpList) - Method in class org.tensorflow.framework.OpList.Builder

mergeFrom(OptimizerOptions) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

mergeFrom(QueueRunnerDef) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

mergeFrom(ReaderBaseState) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

mergeFrom(RemoteFusedGraphExecuteInfo) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

mergeFrom(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

mergeFrom(ResourceHandleProto) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

mergeFrom(RewriterConfig) - Method in class org.tensorflow.framework.RewriterConfig.Builder

mergeFrom(RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

mergeFrom(RPCOptions) - Method in class org.tensorflow.framework.RPCOptions.Builder

mergeFrom(RunMetadata) - Method in class org.tensorflow.framework.RunMetadata.Builder

mergeFrom(RunOptions) - Method in class org.tensorflow.framework.RunOptions.Builder

mergeFrom(RunOptions.Experimental) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

mergeFrom(SavedModel) - Method in class org.tensorflow.framework.SavedModel.Builder

mergeFrom(SaveSliceInfoDef) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

mergeFrom(ScopedAllocatorOptions) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

mergeFrom(SignatureDef) - Method in class org.tensorflow.framework.SignatureDef.Builder

mergeFrom(StepStats) - Method in class org.tensorflow.framework.StepStats.Builder

mergeFrom(Summary) - Method in class org.tensorflow.framework.Summary.Builder

mergeFrom(Summary.Audio) - Method in class org.tensorflow.framework.Summary.Audio.Builder

mergeFrom(Summary.Image) - Method in class org.tensorflow.framework.Summary.Image.Builder

mergeFrom(Summary.Value) - Method in class org.tensorflow.framework.Summary.Value.Builder

mergeFrom(SummaryDescription) - Method in class org.tensorflow.framework.SummaryDescription.Builder

mergeFrom(SummaryMetadata) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

mergeFrom(SummaryMetadata.PluginData) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

mergeFrom(TensorConnection) - Method in class org.tensorflow.framework.TensorConnection.Builder

mergeFrom(TensorDescription) - Method in class org.tensorflow.framework.TensorDescription.Builder

mergeFrom(TensorInfo) - Method in class org.tensorflow.framework.TensorInfo.Builder

mergeFrom(TensorInfo.CooSparse) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

mergeFrom(TensorProto) - Method in class org.tensorflow.framework.TensorProto.Builder

mergeFrom(TensorShapeProto) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

mergeFrom(TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

mergeFrom(TensorSliceProto) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

mergeFrom(TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

mergeFrom(ThreadPoolOptionProto) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

mergeFrom(ValuesDef) - Method in class org.tensorflow.framework.ValuesDef.Builder

mergeFrom(VariableDef) - Method in class org.tensorflow.framework.VariableDef.Builder

mergeFrom(VariantTensorDataProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

mergeFrom(VersionDef) - Method in class org.tensorflow.framework.VersionDef.Builder

mergeFrom(WhileContextDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder

mergeFrom(BundleEntryProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder

mergeFrom(BundleHeaderProto) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

mergeFrom(IteratorStateMetadata) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

mergeFrom(SaverDef) - Method in class org.tensorflow.util.SaverDef.Builder

mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

mergeFrom(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

mergeFrom(DevicePropertiesProtos.DeviceProperties) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

mergeFrom(DevicePropertiesProtos.NamedDevice) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

mergeFrom(EagerServiceOuterClass.CloseContextRequest) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

mergeFrom(EagerServiceOuterClass.CloseContextResponse) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

mergeFrom(EagerServiceOuterClass.CreateContextRequest) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

mergeFrom(EagerServiceOuterClass.CreateContextResponse) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

mergeFrom(EagerServiceOuterClass.EnqueueRequest) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

mergeFrom(EagerServiceOuterClass.EnqueueResponse) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

mergeFrom(EagerServiceOuterClass.KeepAliveRequest) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

mergeFrom(EagerServiceOuterClass.KeepAliveResponse) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

mergeFrom(EagerServiceOuterClass.Operation) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

mergeFrom(EagerServiceOuterClass.QueueItem) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

mergeFrom(EagerServiceOuterClass.RegisterFunctionRequest) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

mergeFrom(EagerServiceOuterClass.RegisterFunctionResponse) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

mergeFrom(EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

mergeFrom(EagerServiceOuterClass.WaitQueueDoneRequest) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

mergeFrom(EagerServiceOuterClass.WaitQueueDoneResponse) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

mergeFrom(TransportOptions.RecvBufRespExtra) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

mergeFunc(NameAttrList) - Method in class org.tensorflow.framework.AttrValue.Builder

"func" represents a function.

mergeFunctionDef(FunctionDef) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

.tensorflow.FunctionDef function_def = 2;

mergeG(Onnx.GraphProto) - Method in class onnx.Onnx.AttributeProto.Builder

graph

mergeG(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

graph

mergeGpuOptions(GPUOptions) - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all GPUs.

mergeGraph(Onnx.GraphProto) - Method in class onnx.Onnx.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

mergeGraph(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

mergeGraphDef(GraphDef) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The initial graph definition.

mergeGraphDef(GraphDef) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The nodes to be added to the session's graph.

mergeGraphDef(GraphDef) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

mergeGraphDef(GraphDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

GraphDef.

mergeGraphOptions(GraphOptions) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Configuration options for the session in which this graph was created.

mergeGraphOptions(GraphOptions) - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all graphs.

mergeHandleToDecref(EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

mergeHisto(HistogramProto) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.HistogramProto histo = 5;

mergeImage(Summary.Image) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Image image = 4;

mergeIndices(Onnx.TensorProto) - Method in class onnx.Onnx.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

mergeIndices(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

mergeInitialization(Onnx.GraphProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

mergeInitialization(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

mergeInputValue(TensorNamespace.TensorProto) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto inputValue = 8;

mergeInt64List(CollectionDef.Int64List) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.Int64List int64_list = 3;

mergeLabels(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Extract out the specified column, and merge the specified label and label mask arrays (i.e., concatenate the examples)

mergeLabels(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Merge the specified labels and label mask arrays (i.e., concatenate the examples)

MergeLambda<T> - Interface in org.nd4j.evaluation.custom

mergeLibrary(FunctionDefLibrary) - Method in class org.tensorflow.framework.GraphDef.Builder

EXPERIMENTAL.

mergeLinks(LocalLinks) - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional local interconnect links to other devices.

mergeList(AttrValue.ListValue) - Method in class org.tensorflow.framework.AttrValue.Builder

any "list(...)"

mergeLocality(DeviceLocality) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Platform-specific data about device that may be useful for supporting efficient data transfers.

mergeMapType(Onnx.TypeProto.Map) - Method in class onnx.Onnx.TypeProto.Builder

The type of a map.

mergeMapType(OnnxMl.TypeProto.Map) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a map.

mergeMasks2d(long[], INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

mergeMasks4d(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

mergeMax(String, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Merge max function: merges an arbitrary number of equal shaped arrays using element-wise maximum operation:
out = max_i in[i]

mergeMax(SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Merge max function: merges an arbitrary number of equal shaped arrays using element-wise maximum operation:
out = max_i in[i]

mergeMax(INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Merge max function: merges an arbitrary number of equal shaped arrays using element-wise maximum operation:
out = max_i in[i]

MergeMax - Class in org.nd4j.linalg.api.ops.impl.shape

MergeMax() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeMax

MergeMax(SameDiff, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeMax

MergeMax(INDArray...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeMax

MergeMaxBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp

MergeMaxBp(SameDiff, SDVariable[], SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.MergeMaxBp

mergeMaxIndex(String, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Return array of max elements indices with along tensor dimensions

mergeMaxIndex(String, SDVariable[], DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Return array of max elements indices with along tensor dimensions

mergeMaxIndex(SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Return array of max elements indices with along tensor dimensions

mergeMaxIndex(SDVariable[], DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Return array of max elements indices with along tensor dimensions

mergeMaxIndex(INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Return array of max elements indices with along tensor dimensions

mergeMaxIndex(INDArray[], DataType) - Method in class org.nd4j.linalg.factory.ops.NDMath

Return array of max elements indices with along tensor dimensions

MergeMaxIndex - Class in org.nd4j.linalg.api.ops.impl.shape

MergeMaxIndex(SameDiff, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeMaxIndex

MergeMaxIndex(SameDiff, SDVariable[], DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeMaxIndex

MergeMaxIndex(INDArray...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeMaxIndex

MergeMaxIndex(INDArray[], DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeMaxIndex

mergeMemoryStats(MemoryStats) - Method in class org.tensorflow.framework.NodeExecStats.Builder

.tensorflow.MemoryStats memory_stats = 12;

mergeMetadata(RunMetadata) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Returned metadata if requested in the options.

mergeMetadata(RunMetadata) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

Returned metadata if requested in the options.

mergeMetadata(SummaryMetadata) - Method in class org.tensorflow.framework.Summary.Value.Builder

Contains metadata on the summary value such as which plugins may use it.

mergeMetaInfoDef(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

mergeNodeList(CollectionDef.NodeList) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.NodeList node_list = 1;

mergeOpaqueType(OnnxMl.TypeProto.Opaque) - Method in class onnx.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

mergeOperation(EagerServiceOuterClass.Operation) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.Operation operation = 2;

mergeOptimizerOptions(OptimizerOptions) - Method in class org.tensorflow.framework.GraphOptions.Builder

Options controlling how graph is optimized.

mergeOptionalType(Onnx.TypeProto.Optional) - Method in class onnx.Onnx.TypeProto.Builder

The type of an optional.

mergeOptionalType(OnnxMl.TypeProto.Optional) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of an optional.

mergeOptions(TraceOpts) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

.tensorflow.TraceOpts options = 1;

mergeOptions(CallableOptions) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

Options that define the behavior of the created callable.

mergeOptions(RunOptions) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Options for the run call.

mergeOutputValue(TensorNamespace.TensorProto) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto outputValue = 9;

mergePerOutputMasks2d(long[], INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

mergePerOutputMasks2d(long[], INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Deprecated.

USe DataSetUtil.mergeMasks2d(long[], INDArray[], INDArray[])

mergePluginData(SummaryMetadata.PluginData) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Data that associates a summary with a certain plugin.

mergeProperties(DevicePropertiesProtos.DeviceProperties) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

.tensorflow.DeviceProperties properties = 2;

mergeRemoteGraph(GraphDef) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Definition of remote graph

mergeRewriteOptions(RewriterConfig) - Method in class org.tensorflow.framework.GraphOptions.Builder

Options that control the type and amount of graph rewriting.

mergeRpcOptions(RPCOptions) - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply when this session uses the distributed runtime.

mergeRunOptions(RunOptions) - Method in class org.tensorflow.framework.CallableOptions.Builder

Options that will be applied to each run.

mergeSaverDef(SaverDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

SaverDef.

mergeSaveSliceInfoDef(SaveSliceInfoDef) - Method in class org.tensorflow.framework.VariableDef.Builder

Support for saving variables as slices of a larger variable.

mergeScopedAllocatorOpts(ScopedAllocatorOptions) - Method in class org.tensorflow.framework.RewriterConfig.Builder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

mergeSegment(Onnx.TensorProto.Segment) - Method in class onnx.Onnx.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

mergeSegment(OnnxMl.TensorProto.Segment) - Method in class onnx.OnnxMl.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

mergeSegment(TensorNamespace.TensorProto.Segment) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

.org.nd4j.ir.TensorProto.Segment segment = 3;

mergeSequenceType(Onnx.TypeProto.Sequence) - Method in class onnx.Onnx.TypeProto.Builder

The type of a sequence.

mergeSequenceType(OnnxMl.TypeProto.Sequence) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a sequence.

mergeServerDef(ServerDef) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Defines the configuration of a TensorFlow worker.

mergeServerDef(ServerDef) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Identifies the full cluster, and this particular worker's position within.

mergeServerLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on server-side device locality.

mergeServerLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on server-side device locality.

mergeShape(Onnx.TensorShapeProto) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

mergeShape(Onnx.TensorShapeProto) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

mergeShape(OnnxMl.TensorShapeProto) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

mergeShape(OnnxMl.TensorShapeProto) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

mergeShape(TensorNamespace.TensorShapeProto) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

.org.nd4j.ir.TensorShapeProto shape = 2;

mergeShape(TensorShapeProto) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.TensorShapeProto shape = 4;

mergeShape(TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.Builder

"shape"

mergeShape(TensorShapeProto) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.TensorShapeProto shape = 3;

mergeShape(TensorShapeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.TensorShapeProto shape = 2;

mergeShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorDescription.Builder

Shape of the tensor.

mergeShape(TensorShapeProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder

.tensorflow.TensorShapeProto shape = 2;

mergeSignature(OpDef) - Method in class org.tensorflow.framework.FunctionDef.Builder

The definition of the function's name, arguments, return values, attrs etc.

mergeSparseTensor(Onnx.SparseTensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

sparse tensor value

mergeSparseTensor(OnnxMl.SparseTensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

sparse tensor value

mergeSparseTensorType(Onnx.TypeProto.SparseTensor) - Method in class onnx.Onnx.TypeProto.Builder

Type of the sparse tensor

mergeSparseTensorType(OnnxMl.TypeProto.SparseTensor) - Method in class onnx.OnnxMl.TypeProto.Builder

Type of the sparse tensor

mergeStepStats(StepStats) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

.tensorflow.StepStats step_stats = 2;

mergeStepStats(StepStats) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

mergeStepStats(StepStats) - Method in class org.tensorflow.framework.RunMetadata.Builder

Statistics traced for this step.

mergeStrippedOpList(OpList) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A copy of the OpDefs used by the producer of this graph_def.

MergeSum - Class in org.nd4j.linalg.api.ops.impl.shape

MergeSum() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeSum

MergeSum(SameDiff, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeSum

mergeT(Onnx.TensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

tensor value

mergeT(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

tensor value

mergeTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Allocated tensor details.

mergeTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Output tensor details.

mergeTensor(TensorProto) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The tensor as a proto.

mergeTensor(TensorProto) - Method in class org.tensorflow.framework.AttrValue.Builder

"tensor"

mergeTensor(TensorProto) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

mergeTensor(TensorProto) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.TensorProto tensor = 8;

mergeTensorDescription(TensorDescription) - Method in class org.tensorflow.framework.NodeOutput.Builder

.tensorflow.TensorDescription tensor_description = 3;

mergeTensorInfo(TensorInfo) - Method in class org.tensorflow.framework.AssetFileDef.Builder

The tensor to bind the asset filename to.

mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorInfo.Builder

The static shape should be recorded here, to the extent that it can be known in advance.

mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorProto.Builder

Shape of the tensor.

mergeTensorType(Onnx.TypeProto.Tensor) - Method in class onnx.Onnx.TypeProto.Builder

The type of a tensor.

mergeTensorType(OnnxMl.TypeProto.Tensor) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a tensor.

mergeTensorType(TensorNamespace.TypeProto.TensorDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

The type of a tensor.

mergeTimeSeries(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Merge the specified time series (3d) arrays and masks.

mergeTimeSeries(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Merge the specified time series (3d) arrays and masks.

mergeTp(Onnx.TypeProto) - Method in class onnx.Onnx.AttributeProto.Builder

Do not use field below, it's deprecated.

mergeTp(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

Do not use field below, it's deprecated.

mergeTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, implementation-specific data.

mergeTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, implementation-specific data.

mergeTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information needed by the RPC subsystem.

mergeTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

Optional additional information about how to receive the tensor, e.g.

mergeType(Onnx.TypeProto) - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

mergeType(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

mergeType(TensorNamespace.TypeProto) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.AttributeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.FunctionProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.GraphProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.ModelProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.NodeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.SparseTensorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.StringStringEntryProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorAnnotation.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorProto.Segment.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorShapeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TrainingInfoProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Map.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Optional.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.ValueInfoProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.AttributeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.FunctionProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.GraphProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.ModelProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.NodeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperators.OperatorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.JobDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ServerDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.StepSequence.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationDescription.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationRecord.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDefs.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AssetFileDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CallableOptions.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CondContextDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ConfigProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebugOptions.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceLocality.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GPUOptions.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GradientDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphOptions.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.HistogramProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.InterconnectLink.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.LocalLinks.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryStats.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NameAttrList.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeExecStats.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeOutput.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDeprecation.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpList.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RewriterConfig.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RPCOptions.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RunMetadata.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RunOptions.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SavedModel.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SignatureDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.StepStats.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Audio.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Image.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Value.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryDescription.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorConnection.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorDescription.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorInfo.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ValuesDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariableDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VersionDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.WhileContextDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.BundleEntryProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.SaverDef.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

mergeValues(Onnx.TensorProto) - Method in class onnx.Onnx.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

mergeValues(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

mergeValuesDef(ValuesDef) - Method in class org.tensorflow.framework.CondContextDef.Builder

Values and external values in control flow context.

mergeValuesDef(ValuesDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Values and external values in control flow context.

mergeValueType(Onnx.TypeProto) - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

mergeValueType(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

mergeVersion(VersionDef) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Versioning of the tensor bundle format.

mergeVersionDef(VersionDef) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

This is the version for all the ops that will be enqueued by the client.

mergeVersions(VersionDef) - Method in class org.tensorflow.framework.GraphDef.Builder

Compatibility versions of the graph.

mergeWhileCtxt(WhileContextDef) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.WhileContextDef while_ctxt = 2;

meshgrid(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Meshgrid op.

meshgrid(String[], SDVariable[], boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Broadcasts parameters for evaluation on an N-D grid.

meshgrid(SDVariable[], boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Broadcasts parameters for evaluation on an N-D grid.

meshgrid(INDArray[], boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Broadcasts parameters for evaluation on an N-D grid.

MeshGrid - Class in org.nd4j.linalg.api.ops.impl.shape

MeshGrid() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MeshGrid

MeshGrid(INDArray[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MeshGrid

MeshGrid(SameDiff, boolean, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MeshGrid

MeshGrid(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MeshGrid

META - org.nd4j.linalg.api.ops.Op.Type

META_GRAPH_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

META_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SavedModel

META_INFO_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef

META_OPTIMIZER_ITERATIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunCallableResponse

METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepResponse

METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value

METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariantTensorDataProto

METADATA_PROPS_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

METADATA_PROPS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

MetaGraphDef - Class in org.tensorflow.framework

NOTE: This protocol buffer is evolving, and will go through revisions in the coming months.

MetaGraphDef.Builder - Class in org.tensorflow.framework

NOTE: This protocol buffer is evolving, and will go through revisions in the coming months.

MetaGraphDef.MetaInfoDef - Class in org.tensorflow.framework

Meta information regarding the graph to be exported.

MetaGraphDef.MetaInfoDef.Builder - Class in org.tensorflow.framework

Meta information regarding the graph to be exported.

MetaGraphDef.MetaInfoDefOrBuilder - Interface in org.tensorflow.framework

MetaGraphDefOrBuilder - Interface in org.tensorflow.framework

MetaGraphProtos - Class in org.tensorflow.framework

MetaOp - Interface in org.nd4j.linalg.api.ops

method - Variable in class org.nd4j.linalg.api.ops.impl.image.CropAndResize

METHOD_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SignatureDef

methodIndex() - Method in enum org.nd4j.enums.ImageResizeMethod

METHODS - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

Metric() - Constructor for class org.nd4j.evaluation.custom.CustomEvaluation.Metric

Micro - org.nd4j.evaluation.EvaluationAveraging

migrate() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

migrate() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method pulls this INDArray into current Workspace.

migrate() - Method in interface org.nd4j.linalg.dataset.api.DataSet

This method migrates this DataSet into current Workspace (if any)

migrate() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

This method migrates this MultiDataSet into current Workspace (if any)

migrate() - Method in class org.nd4j.linalg.dataset.DataSet

migrate() - Method in class org.nd4j.linalg.dataset.MultiDataSet

migrate(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

migrate(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method pulls this INDArray into current Workspace, or optionally detaches if no workspace is present.
That is:
If current workspace is present/active, INDArray is migrated to it.
If no current workspace is present/active, one of two things occur: 1.

min - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

min() - Method in class org.nd4j.graph.UISummaryStatistics

min(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.min(String, boolean, int...)

min(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

min(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall min of this ndarray

min(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.min(String, boolean, int...)

min(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

min(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall min of this ndarray

min(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Minimum array reduction operation, optionally along specified dimensions.

min(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.min(String, boolean, int...)

min(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Minimum array reduction operation, optionally along specified dimensions.

min(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Minimum array reduction operation, optionally along specified dimensions.

min(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise minimum operation: out[i] = min(first[i], second[i])
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

min(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise max operation, out = min(x, y)
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

min(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Minimum array reduction operation, optionally along specified dimensions.

min(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Minimum array reduction operation, optionally along specified dimensions.

min(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise minimum operation: out[i] = min(first[i], second[i])
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

min(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise max operation, out = min(x, y)
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

min(FlatArray) - Method in class org.nd4j.graph.UISummaryStatistics

min(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.min(int...) with Integer.MAX_VALUE for full array reduction.

min(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Minimum array reduction operation, optionally along specified dimensions.

min(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Maximum function with a scalar

min(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Minimum function with a scalar

min(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.min(int...) with Integer.MAX_VALUE for full array reduction.

min(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Minimum array reduction operation, optionally along specified dimensions.

min(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Element-wise minimum operation: out[i] = min(first[i], second[i])
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

min(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise max operation, out = min(x, y)
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

min(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Element wise minimum function between 2 INDArrays

min(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Element wise minimum function between 2 INDArrays

min(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast min op.

Min - Class in org.nd4j.linalg.api.ops.impl.reduce.same

Min - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Min - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Min() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

Min() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Min

Min(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

Min(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

Min(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Min

Min(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

Min(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

Min(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

Min(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Min

Min(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

Min(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Min

MIN_CONSUMER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VersionDef

MIN_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto

MIN_MAX - org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

MinBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

MinBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp

MinBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp

MinBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp

MinBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp

MinBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp

MinBp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp

MinBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp

MinBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp

MiniBatchFileDataSetIterator - Class in org.nd4j.linalg.dataset

MiniBatchFileDataSetIterator(DataSet, int) - Constructor for class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

MiniBatchFileDataSetIterator(DataSet, int, boolean) - Constructor for class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

MiniBatchFileDataSetIterator(DataSet, int, boolean, File) - Constructor for class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

minimize() - Method in enum org.nd4j.evaluation.classification.Evaluation.Metric

minimize() - Method in enum org.nd4j.evaluation.classification.EvaluationBinary.Metric

minimize() - Method in enum org.nd4j.evaluation.classification.ROC.Metric

minimize() - Method in enum org.nd4j.evaluation.classification.ROCBinary.Metric

minimize() - Method in enum org.nd4j.evaluation.classification.ROCMultiClass.Metric

minimize() - Method in class org.nd4j.evaluation.custom.CustomEvaluation.Metric

minimize() - Method in interface org.nd4j.evaluation.IMetric

Whether this metric should be minimized (aka whether lower values are better).

minimize() - Method in enum org.nd4j.evaluation.regression.RegressionEvaluation.Metric

minimize(boolean) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Sets whether the loss function should be minimized (true) or maximized (false).
The loss function is usually minimized in SGD.
Default: true.

minimize(String...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

MINIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef

minMax(int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a scalar array reflecting the min or max value for a given data type.

minMax(int, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return a scalar array reflecting the min or max value for a given data type.

minMax(String, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a scalar array reflecting the min or max value for a given data type.

MinMaxDataType - Class in org.nd4j.linalg.api.ops.impl.transforms.dtype

Returns the min or max (0 or 1 in int arguments) for a given data type.

MinMaxDataType() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.MinMaxDataType

MinMaxDataType(int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.MinMaxDataType

MinMaxDataType(SameDiff, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.MinMaxDataType

minMaxScaleAllInputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply min-max scaling to all inputs, except the ones individually configured

minMaxScaleAllInputs(double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply min-max scaling to all inputs, except the ones individually configured

minMaxScaleAllOutputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply min-max scaling to all outputs, except the ones individually configured

minMaxScaleAllOutputs(double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply min-max scaling to all outputs, except the ones individually configured

minMaxScaleInput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply min-max scaling to a specific input, overriding the global input strategy if any

minMaxScaleInput(int, double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply min-max scaling to a specific input, overriding the global input strategy if any

minMaxScaleOutput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply min-max scaling to a specific output, overriding the global output strategy if any

minMaxScaleOutput(int, double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply min-max scaling to a specific output, overriding the global output strategy if any

MinMaxSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer

MinMaxSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy

MinMaxStats - Class in org.nd4j.linalg.dataset.api.preprocessor.stats

MinMaxStats(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats

MinMaxStats.Builder - Class in org.nd4j.linalg.dataset.api.preprocessor.stats

DynamicCustomOpsBuilder class that can incrementally update a running lower and upper bound in order to create statistics for a large set of data

MinMaxStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor

MinMaxStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy

MinMaxStrategy(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy

minMs() - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.OpExec

minNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

minNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns min value in this INDArray

minSize - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

This variable specifies minimal workspace size

minus(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

For Kotlin operator interop

minus(Loss) - Method in class org.nd4j.autodiff.listeners.Loss

minus(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

For Kotlin operator interop

MirroringPolicy - Enum in org.nd4j.linalg.api.memory.enums

MirrorPad - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

MirrorPad() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad

Mish - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Mish() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Mish

Mish(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Mish

Mish(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Mish

Mish(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Mish

MISH - org.nd4j.linalg.activations.Activation

MishDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

MishDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

MishDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

MishDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

MishDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

MishDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

MishDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

missingOnnxOps() - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

Returns the missing onnx ops

missingOps() - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

Returns the missing ops for c++ vs java.

missingTensorflowOps() - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

Returns the missing tensorflow ops

MIXED_DATA_TYPES - org.nd4j.linalg.api.buffer.DataBuffer.AllocationMode

MIXED_ORDER - org.nd4j.linalg.profiler.OpProfiler.PenaltyCause

MixtureDensityComponents() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.MixtureDensityComponents

MKL - org.nd4j.linalg.api.blas.Blas.Vendor

MMAP - org.nd4j.linalg.api.memory.enums.LocationPolicy

Allocations will be in memory-mapped file

mmul(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Matrix multiplication: out = mmul(this,other)

mmul(String, SDVariable, MMulTranspose) - Method in class org.nd4j.autodiff.samediff.SDVariable

Matrix multiplication: out = mmul(this,other)

mmul(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(String, SDVariable, SDVariable, boolean, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(String, SDVariable, SDVariable, boolean, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.mmul(String, SDVariable)

mmul(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(SDVariable, SDVariable, boolean, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(SDVariable, SDVariable, boolean, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mmul(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform a copy matrix multiplication

mmul(INDArray, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mmul(INDArray, char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform a copy matrix multiplication

mmul(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mmul(INDArray, MMulTranspose) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform a copy matrix multiplication

mmul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Perform an copy matrix multiplication

mmul(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform an copy matrix multiplication

mmul(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(INDArray, INDArray, boolean, boolean, boolean) - Method in class org.nd4j.linalg.factory.ops.NDBase

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(INDArray, INDArray, boolean, boolean, boolean) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Matrix multiplication: out = mmul(x,y)
Supports specifying transpose argument to perform operation such as mmul(a^T, b), etc.

mmul(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mmul(INDArray, INDArray, MMulTranspose) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform an copy matrix multiplication

Mmul - Class in org.nd4j.linalg.api.ops.impl.reduce

Mmul() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

Mmul(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

Mmul(SameDiff, SDVariable, SDVariable, boolean, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

Mmul(SameDiff, SDVariable, SDVariable, MMulTranspose) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

Mmul(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

Mmul(INDArray, INDArray, boolean, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

Mmul(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

Mmul(INDArray, INDArray, double, double, boolean, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

Mmul(INDArray, INDArray, INDArray, double, double, MMulTranspose) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

Mmul(INDArray, INDArray, INDArray, MMulTranspose) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Mmul

MmulBp - Class in org.nd4j.linalg.api.ops.impl.reduce

MmulBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.MmulBp

MmulBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.MmulBp

MmulBp(SameDiff, SDVariable, SDVariable, SDVariable, MMulTranspose) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.MmulBp

MmulBp(INDArray, INDArray, INDArray, INDArray, INDArray, MMulTranspose) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.MmulBp

mmuli(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mmuli(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform an inplace matrix multiplication

mmuli(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mmuli(INDArray, MMulTranspose) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform an copy matrix multiplication

mmuli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mmuli(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform an inplace matrix multiplication

mmuli(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mmuli(INDArray, INDArray, MMulTranspose) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform an in place matrix multiplication

mMulTranspose - Variable in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

MMulTranspose - Class in org.nd4j.linalg.api.blas.params

MMulTranspose(boolean, boolean, boolean) - Constructor for class org.nd4j.linalg.api.blas.params.MMulTranspose

mod(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Modulo operation: elementwise this / x
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.

mod(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise modulus (remainder) operation, out = x % y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

mod(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise modulus (remainder) operation, out = x % y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

mod(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise modulus (remainder) operation, out = x % y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

MOD - org.nd4j.enums.PartitionMode

ModBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

ModBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.ModBpOp

ModBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.ModBpOp

mode - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

mode - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

Mode - Enum in org.nd4j.enums

padding mode: CONSTANT, REFLECT, SYMMETRIC

MODEL_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

MODEL_VERSION_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

MODEL_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

ModOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

ModOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

ModOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

ModOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

ModOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

ModOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

moments(String[], SDVariable, int[], boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Calculate the mean and (population) variance for the input variable, for the specified axis

moments(String[], SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Calculate the mean and (population) variance for the input variable, for the specified axis

moments(SDVariable, int[], boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Calculate the mean and (population) variance for the input variable, for the specified axis

moments(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Calculate the mean and (population) variance for the input variable, for the specified axis

moments(INDArray, int[], boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Calculate the mean and (population) variance for the input variable, for the specified axis

moments(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Calculate the mean and (population) variance for the input variable, for the specified axis

Moments - Class in org.nd4j.linalg.api.ops.impl.reduce

Moments() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

Moments(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

Moments(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

Moments(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

Moments(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

Moments(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

Moments(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

Moments(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

Moments(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

Moments(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.Moments

moveToConstantSpace(DataBuffer) - Method in class org.nd4j.linalg.cache.BasicConstantHandler

moveToConstantSpace(DataBuffer) - Method in interface org.nd4j.linalg.cache.ConstantHandler

If specific hardware supports dedicated constant memory, this method forces DataBuffer passed in to be moved to that constant memory.

mpow(INDArray, int, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Raises a square matrix to a power n, which can be positive, negative, or zero.

MSDX_STATE - Static variable in class org.nd4j.linalg.learning.AdaDeltaUpdater

MSE - org.nd4j.evaluation.regression.RegressionEvaluation.Metric

MSE - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

MSG_STATE - Static variable in class org.nd4j.linalg.learning.AdaDeltaUpdater

mt - Variable in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

mt - Variable in class org.nd4j.linalg.api.ops.impl.reduce.MmulBp

mul(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.mul(String, double)

mul(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mul(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Scalar multiplication (copy)

mul(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mul(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Multiplication of ndarray.

mul(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Scalar multiplication: out = this * scalar
Output variable has the same shape as the input variable

mul(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Multiplication operation: elementwise this * x
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.

mul(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar multiplication operation, out = in * scalar

mul(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise multiplication operation, out = x * y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

mul(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.mul(String, SDVariable)

mul(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar multiplication operation, out = in * scalar

mul(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise multiplication operation, out = x * y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

mul(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mul(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

copy (element wise) multiplication of two NDArrays

mul(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Scalar multiplication operation, out = in * scalar

mul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mul(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

copy (element wise) multiplication of two NDArrays

mul(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise multiplication operation, out = x * y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

mul(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast element-wise multiply op.

MulBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

MulBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.MulBpOp

MulBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.MulBpOp

mulColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mulColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Multiplication of a column vector (copy)

muli(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

muli(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place scalar multiplication

muli(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

muli(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place multiplication of this ndarray

muli(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

muli(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) multiplication of two NDArrays

muli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

muli(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) multiplication of two NDArrays

muliColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

muliColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place multiplication of a column vector

muliRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

muliRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place multiplication of a row vector

MulOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

MulOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

MulOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

MulOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

MulOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

MulOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

mulRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

mulRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Multiplication of a row vector (copy)

MULTI_HYBRID - org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

MULTI_MIN_MAX - org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

MULTI_STANDARDIZE - org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

MultiDataNormalization - Interface in org.nd4j.linalg.dataset.api.preprocessor

MultiDataSet - Class in org.nd4j.linalg.dataset

MultiDataSet - Interface in org.nd4j.linalg.dataset.api

MultiDataSet() - Constructor for class org.nd4j.linalg.dataset.MultiDataSet

Create a new (empty) MultiDataSet object (all fields are null)

MultiDataSet(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet

MultiDataSet constructor with no mask arrays

MultiDataSet(INDArray[], INDArray[], INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet

MultiDataSet(INDArray[], INDArray[], INDArray[], INDArray[], List<Serializable>) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet

MultiDataSet(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet

MultiDataSet constructor with single features/labels input, no mask arrays

MultiDataSet(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet

MultiDataSet constructor with single features/labels input, single mask arrays

MultiDataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator

MultiDataSetIteratorAdapter - Class in org.nd4j.linalg.dataset.adapter

MultiDataSetIteratorAdapter(DataSetIterator) - Constructor for class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

MultiDataSetIteratorFactory - Interface in org.nd4j.linalg.dataset.api.iterator

MultiDataSetPreProcessor - Interface in org.nd4j.linalg.dataset.api

multiHeadDotProductAttention(String, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

This performs multi-headed dot product attention on the given timeseries input
out = concat(head_1, head_2, ..., head_n) * Wo
head_i = dot_product_attention(Wq_i*q, Wk_i*k, Wv_i*v)

Optionally with normalization when calculating the attention for each head.

See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, pp.

multiHeadDotProductAttention(SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

This performs multi-headed dot product attention on the given timeseries input
out = concat(head_1, head_2, ..., head_n) * Wo
head_i = dot_product_attention(Wq_i*q, Wk_i*k, Wv_i*v)

Optionally with normalization when calculating the attention for each head.

See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, pp.

multiHeadDotProductAttention(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDNN

This performs multi-headed dot product attention on the given timeseries input
out = concat(head_1, head_2, ..., head_n) * Wo
head_i = dot_product_attention(Wq_i*q, Wk_i*k, Wv_i*v)

Optionally with normalization when calculating the attention for each head.

See also "Attention is all you need" (https://arxiv.org/abs/1706.03762, pp.

MultiHeadDotProductAttention - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

MultiHeadDotProductAttention(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention

MultiHeadDotProductAttention(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention

MultiHeadDotProductAttention(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention

MultiHeadDotProductAttentionBp - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

MultiHeadDotProductAttentionBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttentionBp

MultiHybridSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer

MultiHybridSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy

MultilayerNetwork - org.nd4j.linalg.heartbeat.reports.Task.NetworkType

MultiMinMaxSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer

MultiMinMaxSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy

MultiNormalizerHybrid - Class in org.nd4j.linalg.dataset.api.preprocessor

MultiNormalizerHybrid() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

MultiNormalizerMinMaxScaler - Class in org.nd4j.linalg.dataset.api.preprocessor

MultiNormalizerMinMaxScaler() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

MultiNormalizerMinMaxScaler(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

Preprocessor can take a range as minRange and maxRange

MultiNormalizerStandardize - Class in org.nd4j.linalg.dataset.api.preprocessor

MultiNormalizerStandardize() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

MultipleEpochsIterator - Class in org.nd4j.linalg.dataset.api.iterator

Deprecated.

MultipleEpochsIterator(int, DataSetIterator) - Constructor for class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

MULTIPLICATOR - Static variable in class org.nd4j.graph.OpClass

MULTIPLY - org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate.UpdateOp

multiplyBy(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Multiply the features by a scalar

multiplyBy(double) - Method in class org.nd4j.linalg.dataset.DataSet

MultiStandardizeSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer

MultiStandardizeSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy

N

n - org.nd4j.autodiff.listeners.profiler.data.Phase

N - org.nd4j.autodiff.listeners.profiler.data.Phase

N - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

N - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

Nadam - Class in org.nd4j.linalg.learning.config

Nadam() - Constructor for class org.nd4j.linalg.learning.config.Nadam

Nadam(double) - Constructor for class org.nd4j.linalg.learning.config.Nadam

Nadam(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.Nadam

Nadam(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Nadam

Nadam.Builder - Class in org.nd4j.linalg.learning.config

NadamUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

NadamUpdater - Class in org.nd4j.linalg.learning

The Nadam updater.

NadamUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.NadamUpdater

NadamUpdater(INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.NadamUpdater

NadamUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.NadamUpdater

NadamUpdater(Nadam) - Constructor for class org.nd4j.linalg.learning.NadamUpdater

name - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStep

name - Variable in class org.nd4j.autodiff.samediff.internal.SameDiffOp

name - Variable in class org.nd4j.autodiff.samediff.internal.Variable

name() - Method in class org.nd4j.autodiff.samediff.SDVariable

Get the name of the SDVariable

name() - Method in class org.nd4j.graph.FlatNode

name() - Method in class org.nd4j.graph.FlatProperties

name() - Method in class org.nd4j.graph.FlatTiming

name() - Method in class org.nd4j.graph.FlatVariable

name() - Method in class org.nd4j.graph.SequenceItem

name() - Method in class org.nd4j.graph.UIAddName

name() - Method in class org.nd4j.graph.UIOp

name() - Method in class org.nd4j.graph.UIVariable

name() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

name() - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

The opName of this function

name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein

name() - Method in class org.nd4j.linalg.lossfunctions.SameDiffLoss

name(int) - Static method in class org.nd4j.graph.ByteOrder

name(int) - Static method in class org.nd4j.graph.Direction

name(int) - Static method in class org.nd4j.graph.DType

name(int) - Static method in class org.nd4j.graph.ExecutionMode

name(int) - Static method in class org.nd4j.graph.InputType

name(int) - Static method in class org.nd4j.graph.LossReduce

name(int) - Static method in class org.nd4j.graph.OpClass

name(int) - Static method in class org.nd4j.graph.OpType

name(int) - Static method in class org.nd4j.graph.OutputMode

name(int) - Static method in class org.nd4j.graph.ProfilingMode

name(int) - Static method in class org.nd4j.graph.UIEventSubtype

name(int) - Static method in class org.nd4j.graph.UIEventType

name(int) - Static method in class org.nd4j.graph.UIHistogramType

name(int) - Static method in class org.nd4j.graph.UIInfoType

name(int) - Static method in class org.nd4j.graph.VarType

NAME - org.tensorflow.framework.TensorInfo.EncodingCase

NAME_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

NAME_FIELD_NUMBER - Static variable in class onnx.Onnx.FunctionProto

NAME_FIELD_NUMBER - Static variable in class onnx.Onnx.GraphProto

NAME_FIELD_NUMBER - Static variable in class onnx.Onnx.NodeProto

NAME_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

NAME_FIELD_NUMBER - Static variable in class onnx.Onnx.ValueInfoProto

NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.FunctionProto

NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.GraphProto

NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.NodeProto

NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.Opaque

NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ValueInfoProto

NAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

NAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

NAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.OpDescriptor

NAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

NAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.ValueInfoProto

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.JobDef

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Arg

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Attr

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Endpoint

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferConstNodeInfo

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInfo

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef.AttrConstraint

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NameAttrList

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NamedTensorProto

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeDef

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorInfo

NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorShapeProto.Dim

NAME_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

NAME_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.NamedDevice

NAME_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.Operation

nameAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

nameAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties

nameAsByteBuffer() - Method in class org.nd4j.graph.FlatTiming

nameAsByteBuffer() - Method in class org.nd4j.graph.FlatVariable

nameAsByteBuffer() - Method in class org.nd4j.graph.SequenceItem

nameAsByteBuffer() - Method in class org.nd4j.graph.UIAddName

nameAsByteBuffer() - Method in class org.nd4j.graph.UIOp

nameAsByteBuffer() - Method in class org.nd4j.graph.UIVariable

NameAttrList - Class in org.tensorflow.framework

A list of attr names and their values.

NameAttrList.Builder - Class in org.tensorflow.framework

A list of attr names and their values.

NameAttrListOrBuilder - Interface in org.tensorflow.framework

NamedTensorProto - Class in org.tensorflow.framework

A pair of tensor name and tensor values.

NamedTensorProto.Builder - Class in org.tensorflow.framework

A pair of tensor name and tensor values.

NamedTensorProtoOrBuilder - Interface in org.tensorflow.framework

NamedTensorProtos - Class in org.tensorflow.framework

nameEquals(String) - Static method in class org.nd4j.autodiff.samediff.transform.OpPredicate

Return true if the operation own (user specified) name equals the specified name

nameIdx() - Method in class org.nd4j.graph.UIAddName

nameIdx() - Method in class org.nd4j.graph.UIEvent

nameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

nameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatProperties

nameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatTiming

nameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatVariable

nameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.SequenceItem

nameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIAddName

nameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIOp

nameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIVariable

nameMatches(String) - Static method in class org.nd4j.autodiff.samediff.transform.OpPredicate

Return true if the operation own (user specified) name matches the specified regular expression

names - Static variable in class org.nd4j.graph.ByteOrder

names - Static variable in class org.nd4j.graph.Direction

names - Static variable in class org.nd4j.graph.DType

names - Static variable in class org.nd4j.graph.ExecutionMode

names - Static variable in class org.nd4j.graph.InputType

names - Static variable in class org.nd4j.graph.LossReduce

names - Static variable in class org.nd4j.graph.OpClass

names - Static variable in class org.nd4j.graph.OpType

names - Static variable in class org.nd4j.graph.OutputMode

names - Static variable in class org.nd4j.graph.ProfilingMode

names - Static variable in class org.nd4j.graph.UIEventSubtype

names - Static variable in class org.nd4j.graph.UIEventType

names - Static variable in class org.nd4j.graph.UIHistogramType

names - Static variable in class org.nd4j.graph.UIInfoType

names - Static variable in class org.nd4j.graph.VarType

NameScope - Class in org.nd4j.autodiff.samediff

NameScope(SameDiff, String) - Constructor for class org.nd4j.autodiff.samediff.NameScope

nameWithScope(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

NAN_PANIC - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

NAN_PANIC - Static variable in class org.nd4j.graph.ProfilingMode

narrowRange - Variable in class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

narrowRange - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

narrowRange - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

NATIVE_CPU - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ExecutionerType

NATIVE_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j

ncdhw - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

NCDHW - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig

NCDHW - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv3DConfig

nchw - Variable in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

nchw - Variable in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

nchw - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

nchw - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative

NCHW - org.nd4j.enums.DataFormat

NCHW - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

NCHW - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv2DConfig

NCHWtoNHWC - org.nd4j.linalg.dataset.api.preprocessor.PermuteDataSetPreProcessor.PermutationTypes

NCW - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig

Nd4j - Class in org.nd4j.linalg.factory

Nd4j() - Constructor for class org.nd4j.linalg.factory.Nd4j

ND4J_STATUS_BAD_ARGUMENTS - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_BIAS - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_DIMENSIONS - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_EPSILON - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_GRADIENTS - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_GRAPH - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_INPUT - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_LENGTH - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_ORDER - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_OUTPUT - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_PARAMS - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_RANK - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_RNG - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_BAD_SHAPE - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_OK - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4J_STATUS_VALIDATION - org.nd4j.linalg.api.ops.executioner.OpStatus

ND4JArraySizeException - Exception in org.nd4j.linalg.exception

ND4JArraySizeException() - Constructor for exception org.nd4j.linalg.exception.ND4JArraySizeException

Nd4jBackend - Class in org.nd4j.linalg.factory

Nd4jBackend() - Constructor for class org.nd4j.linalg.factory.Nd4jBackend

Nd4jBackend.NoAvailableBackendException - Exception in org.nd4j.linalg.factory

Nd4jBase64 - Class in org.nd4j.serde.base64

NDArray as base 64

Nd4jContext - Class in org.nd4j.context

Nd4jEnvironment - Class in org.nd4j.linalg.api.environment

Nd4jEnvironment() - Constructor for class org.nd4j.linalg.api.environment.Nd4jEnvironment

ND4JException - Exception in org.nd4j.linalg.exception

ND4JException() - Constructor for exception org.nd4j.linalg.exception.ND4JException

ND4JException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JException

ND4JException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JException

ND4JException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JException

nd4jFileNameTextDefault - Static variable in class org.nd4j.ir.OpDescriptorHolder

nd4jFileSpecifierProperty - Static variable in class org.nd4j.ir.OpDescriptorHolder

ND4JIllegalAccessException - Exception in org.nd4j.linalg.exception

ND4JIllegalAccessException() - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalAccessException

ND4JIllegalAccessException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalAccessException

ND4JIllegalAccessException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalAccessException

ND4JIllegalAccessException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalAccessException

ND4JIllegalArgumentException - Exception in org.nd4j.linalg.exception

ND4JIllegalArgumentException() - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalArgumentException

ND4JIllegalArgumentException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalArgumentException

ND4JIllegalArgumentException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalArgumentException

ND4JIllegalArgumentException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalArgumentException

ND4JIllegalStateException - Exception in org.nd4j.linalg.exception

ND4JIllegalStateException() - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException

ND4JIllegalStateException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException

ND4JIllegalStateException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException

ND4JIllegalStateException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException

Nd4jNoSuchWorkspaceException - Exception in org.nd4j.linalg.exception

Nd4jNoSuchWorkspaceException(String) - Constructor for exception org.nd4j.linalg.exception.Nd4jNoSuchWorkspaceException

Nd4jNoSuchWorkspaceException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.Nd4jNoSuchWorkspaceException

nd4jOpList() - Static method in class org.nd4j.ir.OpDescriptorHolder

Get the nd4j op list OpNamespace.OpDescriptorList for serialization.

ND4JOpProfilerException - Exception in org.nd4j.linalg.exception

ND4JOpProfilerException() - Constructor for exception org.nd4j.linalg.exception.ND4JOpProfilerException

ND4JOpProfilerException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JOpProfilerException

ND4JOpProfilerException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JOpProfilerException

ND4JOpProfilerException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JOpProfilerException

ND4JTestUtils - Class in org.nd4j.linalg.util

ND4JTestUtils.ComparisonResult - Class in org.nd4j.linalg.util

ND4JTestUtils.EqualsFn - Class in org.nd4j.linalg.util

A function for use with ND4JTestUtils.validateSerializedArrays(File, File, boolean, BiFunction) using INDArray#equals(Object)

ND4JTestUtils.EqualsWithEpsFn - Class in org.nd4j.linalg.util

A function for use with ND4JTestUtils.validateSerializedArrays(File, File, boolean, BiFunction) using INDArray.equalsWithEps(Object, double)

ND4JUnknownDataTypeException - Exception in org.nd4j.linalg.exception

ND4JUnknownDataTypeException() - Constructor for exception org.nd4j.linalg.exception.ND4JUnknownDataTypeException

ND4JUnknownDataTypeException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JUnknownDataTypeException

ND4JUnknownDataTypeException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JUnknownDataTypeException

ND4JUnknownDataTypeException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JUnknownDataTypeException

Nd4jValidator - Class in org.nd4j.linalg.util

Nd4jWorkspace - Class in org.nd4j.linalg.api.memory.abstracts

Nd4jWorkspace(WorkspaceConfiguration) - Constructor for class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

Nd4jWorkspace(WorkspaceConfiguration, String) - Constructor for class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

ND4JWorkspaceException - Exception in org.nd4j.linalg.workspace

ND4JWorkspaceException() - Constructor for exception org.nd4j.linalg.workspace.ND4JWorkspaceException

ND4JWorkspaceException(String) - Constructor for exception org.nd4j.linalg.workspace.ND4JWorkspaceException

ND4JWorkspaceException(String, Throwable) - Constructor for exception org.nd4j.linalg.workspace.ND4JWorkspaceException

ND4JWorkspaceException(Throwable) - Constructor for exception org.nd4j.linalg.workspace.ND4JWorkspaceException

ND4UnresolvedOutputVariables - Exception in org.nd4j.linalg.exception

ND4UnresolvedOutputVariables(String) - Constructor for exception org.nd4j.linalg.exception.ND4UnresolvedOutputVariables

ND4UnresolvedOutputVariables(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4UnresolvedOutputVariables

ndarray() - Method in class org.nd4j.graph.FlatVariable

ndarray(FlatArray) - Method in class org.nd4j.graph.FlatVariable

NDArrayCompressor - Interface in org.nd4j.linalg.compression

NDArrayCreationUtil - Class in org.nd4j.linalg.checkutil

NDArrayDeSerializer - Class in org.nd4j.serde.jackson.shaded

NDArrayDeSerializer() - Constructor for class org.nd4j.serde.jackson.shaded.NDArrayDeSerializer

ndArrayDimFromInt(int...) - Static method in class org.nd4j.linalg.api.shape.Shape

Create an INDArray to represent the (possibly null) int[] dimensions.

NDArrayFactory - Interface in org.nd4j.linalg.factory

NDArrayIndex - Class in org.nd4j.linalg.indexing

NDArray indexing

NDArrayIndex(long...) - Constructor for class org.nd4j.linalg.indexing.NDArrayIndex

NDArrayIndexing based on the given indexes

NDArrayIndexAll - Class in org.nd4j.linalg.indexing

Mainly meant for internal use: represents all the elements of a dimension

NDArrayIndexAll() - Constructor for class org.nd4j.linalg.indexing.NDArrayIndexAll

NDArrayList - Class in org.nd4j.list

NDArrayList() - Constructor for class org.nd4j.list.NDArrayList

NDArrayList(int) - Constructor for class org.nd4j.list.NDArrayList

Initialize with the desired size.

NDArrayList(INDArray) - Constructor for class org.nd4j.list.NDArrayList

Specify the underlying ndarray for this list.

NDArrayList(INDArray, int) - Constructor for class org.nd4j.list.NDArrayList

Specify the underlying ndarray for this list.

NDArrayList(DataType, int) - Constructor for class org.nd4j.list.NDArrayList

NDArrayMath - Class in org.nd4j.linalg.util

NDArrayPreconditionsFormat - Class in org.nd4j.linalg.util

NDArrayPreconditionsFormat() - Constructor for class org.nd4j.linalg.util.NDArrayPreconditionsFormat

NDArraySerializer - Class in org.nd4j.serde.jackson.shaded

NDArraySerializer() - Constructor for class org.nd4j.serde.jackson.shaded.NDArraySerializer

NDArrayShapeAdapter - Class in org.nd4j.imports.descriptors.properties.adapters

NDArrayShapeAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.NDArrayShapeAdapter

NDArrayStrings - Class in org.nd4j.linalg.string

NDArrayStrings() - Constructor for class org.nd4j.linalg.string.NDArrayStrings

NDArrayStrings(boolean) - Constructor for class org.nd4j.linalg.string.NDArrayStrings

NDArrayStrings(boolean, int) - Constructor for class org.nd4j.linalg.string.NDArrayStrings

NDArrayStrings(int) - Constructor for class org.nd4j.linalg.string.NDArrayStrings

Specify the number of digits after the decimal point to include

NDArrayStrings(long) - Constructor for class org.nd4j.linalg.string.NDArrayStrings

NDArrayStrings(long, boolean, int) - Constructor for class org.nd4j.linalg.string.NDArrayStrings

NDArrayStrings(long, int) - Constructor for class org.nd4j.linalg.string.NDArrayStrings

NDArrayStrings(String) - Constructor for class org.nd4j.linalg.string.NDArrayStrings

NDArrayStrings(String, int) - Constructor for class org.nd4j.linalg.string.NDArrayStrings

Specify a delimiter for elements in columns for 2d arrays (or in the rank-1th dimension in higher order arrays) Separator in elements in remaining dimensions defaults to ",\n"

NDArrayStrings(String, String) - Constructor for class org.nd4j.linalg.string.NDArrayStrings

Specify a col separator and a decimal format string

NDArraySupplierInitScheme - Class in org.nd4j.weightinit.impl

NDArraySupplierInitScheme(INDArray) - Constructor for class org.nd4j.weightinit.impl.NDArraySupplierInitScheme

NDArraySupplierInitScheme.NDArraySupplier - Interface in org.nd4j.weightinit.impl

A simple facade

NDArrayTextDeSerializer - Class in org.nd4j.serde.jackson.shaded

NDArrayTextDeSerializer() - Constructor for class org.nd4j.serde.jackson.shaded.NDArrayTextDeSerializer

NDArrayTextSerializer - Class in org.nd4j.serde.jackson.shaded

NDArrayTextSerializer() - Constructor for class org.nd4j.serde.jackson.shaded.NDArrayTextSerializer

NDArrayUnpackAction - Class in org.nd4j.linalg.env.impl

NDArrayUnpackAction() - Constructor for class org.nd4j.linalg.env.impl.NDArrayUnpackAction

NDArrayUtil - Class in org.nd4j.linalg.util

Deprecated.

NDBase - Class in org.nd4j.linalg.factory.ops

NDBase() - Constructor for class org.nd4j.linalg.factory.ops.NDBase

NDBitwise - Class in org.nd4j.linalg.factory.ops

NDBitwise() - Constructor for class org.nd4j.linalg.factory.ops.NDBitwise

NDCNN - Class in org.nd4j.linalg.factory.ops

NDCNN() - Constructor for class org.nd4j.linalg.factory.ops.NDCNN

NDHWC - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig

NDHWC - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv3DConfig

NDImage - Class in org.nd4j.linalg.factory.ops

NDImage() - Constructor for class org.nd4j.linalg.factory.ops.NDImage

NdIndexIterator - Class in org.nd4j.linalg.api.iter

NdIndexIterator(char, boolean, long...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator

Pass in the shape to iterate over.

NdIndexIterator(char, int...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator

Pass in the shape to iterate over

NdIndexIterator(char, long...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator

NdIndexIterator(int...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator

Pass in the shape to iterate over.

NdIndexIterator(long...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator

NDLinalg - Class in org.nd4j.linalg.factory.ops

NDLinalg() - Constructor for class org.nd4j.linalg.factory.ops.NDLinalg

NDLoss - Class in org.nd4j.linalg.factory.ops

NDLoss() - Constructor for class org.nd4j.linalg.factory.ops.NDLoss

NDMath - Class in org.nd4j.linalg.factory.ops

NDMath() - Constructor for class org.nd4j.linalg.factory.ops.NDMath

NDNN - Class in org.nd4j.linalg.factory.ops

NDNN() - Constructor for class org.nd4j.linalg.factory.ops.NDNN

NDRandom - Class in org.nd4j.linalg.factory.ops

NDRandom() - Constructor for class org.nd4j.linalg.factory.ops.NDRandom

NDRNN - Class in org.nd4j.linalg.factory.ops

NDRNN() - Constructor for class org.nd4j.linalg.factory.ops.NDRNN

NDValidation - Class in org.nd4j.linalg.factory

NEAREST - org.nd4j.linalg.api.ops.impl.image.CropAndResize.Method

NearestMode - Enum in org.nd4j.enums

Effective only for the ResizeNearest interpolation.

NearestNeighbor - org.nd4j.linalg.dataset.api.preprocessor.CropAndResizeDataSetPreProcessor.ResizeMethod

neg() - Method in class org.nd4j.autodiff.samediff.SDVariable

Negate op - returns a new variable with the values of the current variable negated

neg() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

neg() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the ndarray negative (cloned)

neg(String) - Method in class org.nd4j.autodiff.samediff.SDVariable

Negate op - returns a new variable with the values of the current variable negated

neg(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise negative operation: out = -x

neg(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise negative operation: out = -x

neg(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise negative operation: out = -x

neg(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Returns the negative of an ndarray

neg(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Negative

negative() - Method in class org.nd4j.evaluation.classification.Evaluation

Total negatives true negatives + false negatives

Negative - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Negative(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Negative

Negative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Negative

Negative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Negative

Negative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Negative

NEGATIVELOGLIKELIHOOD - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

negi() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

negi() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place setting of the negative version of this ndarray

neq(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.neq(SDVariable)

neq(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

neq(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Not equals" comparison.

neq(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Not equals operation: elementwise this != value
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise

neq(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Not equal to operation: elementwise this != y
If x and y arrays have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if x and y have different shapes and are broadcastable, the output shape is broadcast.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

neq(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Not equals operation: elementwise x != y
Return boolean array with values true where satisfied, or false otherwise.

neq(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Not equal to operation: elementwise x != y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

neq(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.neq(String, SDVariable)

neq(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Not equals operation: elementwise x != y
Return boolean array with values true where satisfied, or false otherwise.

neq(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Not equal to operation: elementwise x != y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

neq(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

neq(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the binary ndarray for "Not equals" comparison.

neq(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Not equals operation: elementwise x != y
Return boolean array with values true where satisfied, or false otherwise.

neq(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Not equal to operation: elementwise x != y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
Return boolean array with values true where satisfied, or false otherwise.

neq(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast not equal to op.

NESTED_CONTEXTS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CondContextDef

NESTED_CONTEXTS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

Nesterovs - Class in org.nd4j.linalg.learning.config

Nesterovs() - Constructor for class org.nd4j.linalg.learning.config.Nesterovs

Nesterovs(double) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs

Nesterovs(double, double) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs

Nesterovs(double, ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs

Nesterovs(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs

Nesterovs(ISchedule, double) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs

Nesterovs(ISchedule, ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs

Nesterovs.Builder - Class in org.nd4j.linalg.learning.config

NesterovsUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

NesterovsUpdater - Class in org.nd4j.linalg.learning

NesterovsUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.NesterovsUpdater

NesterovsUpdater(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.NesterovsUpdater

NesterovsUpdater(INDArray, INDArray, INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.NesterovsUpdater

NesterovsUpdater(Nesterovs) - Constructor for class org.nd4j.linalg.learning.NesterovsUpdater

NEW_AXIS - Static variable in class org.nd4j.linalg.api.ops.impl.shape.CreateView

NEW_GRAPH_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExtendSessionResponse

newArray(int) - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BFloat16TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BoolTensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float16TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float32TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float64TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int16TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int32TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int64TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int8TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.StringTensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt16TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt32TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt64TensorMapper

newArray(int) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt8TensorMapper

newAxis() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Represents adding a new dimension

NewAxis - Class in org.nd4j.linalg.indexing

New axis adds a new singular dimension to an array.

NewAxis() - Constructor for class org.nd4j.linalg.indexing.NewAxis

newBlockName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

For internal use only.

newBuilder() - Static method in class onnx.Onnx.AttributeProto

newBuilder() - Static method in class onnx.Onnx.FunctionProto

newBuilder() - Static method in class onnx.Onnx.GraphProto

newBuilder() - Static method in class onnx.Onnx.ModelProto

newBuilder() - Static method in class onnx.Onnx.NodeProto

newBuilder() - Static method in class onnx.Onnx.OperatorSetIdProto

newBuilder() - Static method in class onnx.Onnx.SparseTensorProto

newBuilder() - Static method in class onnx.Onnx.StringStringEntryProto

newBuilder() - Static method in class onnx.Onnx.TensorAnnotation

newBuilder() - Static method in class onnx.Onnx.TensorProto

newBuilder() - Static method in class onnx.Onnx.TensorProto.Segment

newBuilder() - Static method in class onnx.Onnx.TensorShapeProto.Dimension

newBuilder() - Static method in class onnx.Onnx.TensorShapeProto

newBuilder() - Static method in class onnx.Onnx.TrainingInfoProto

newBuilder() - Static method in class onnx.Onnx.TypeProto.Map

newBuilder() - Static method in class onnx.Onnx.TypeProto

newBuilder() - Static method in class onnx.Onnx.TypeProto.Optional

newBuilder() - Static method in class onnx.Onnx.TypeProto.Sequence

newBuilder() - Static method in class onnx.Onnx.TypeProto.SparseTensor

newBuilder() - Static method in class onnx.Onnx.TypeProto.Tensor

newBuilder() - Static method in class onnx.Onnx.ValueInfoProto

newBuilder() - Static method in class onnx.OnnxMl.AttributeProto

newBuilder() - Static method in class onnx.OnnxMl.FunctionProto

newBuilder() - Static method in class onnx.OnnxMl.GraphProto

newBuilder() - Static method in class onnx.OnnxMl.ModelProto

newBuilder() - Static method in class onnx.OnnxMl.NodeProto

newBuilder() - Static method in class onnx.OnnxMl.OperatorSetIdProto

newBuilder() - Static method in class onnx.OnnxMl.SparseTensorProto

newBuilder() - Static method in class onnx.OnnxMl.StringStringEntryProto

newBuilder() - Static method in class onnx.OnnxMl.TensorAnnotation

newBuilder() - Static method in class onnx.OnnxMl.TensorProto

newBuilder() - Static method in class onnx.OnnxMl.TensorProto.Segment

newBuilder() - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

newBuilder() - Static method in class onnx.OnnxMl.TensorShapeProto

newBuilder() - Static method in class onnx.OnnxMl.TrainingInfoProto

newBuilder() - Static method in class onnx.OnnxMl.TypeProto.Map

newBuilder() - Static method in class onnx.OnnxMl.TypeProto

newBuilder() - Static method in class onnx.OnnxMl.TypeProto.Opaque

newBuilder() - Static method in class onnx.OnnxMl.TypeProto.Optional

newBuilder() - Static method in class onnx.OnnxMl.TypeProto.Sequence

newBuilder() - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

newBuilder() - Static method in class onnx.OnnxMl.TypeProto.Tensor

newBuilder() - Static method in class onnx.OnnxMl.ValueInfoProto

newBuilder() - Static method in class onnx.OnnxOperators.OperatorProto

newBuilder() - Static method in class onnx.OnnxOperators.OperatorSetProto

newBuilder() - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

newBuilder() - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

newBuilder() - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

newBuilder() - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

newBuilder() - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

newBuilder() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

newBuilder() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

newBuilder() - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

newBuilder() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

newBuilder() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

newBuilder() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

newBuilder() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

newBuilder() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

newBuilder() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

newBuilder() - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

newBuilder() - Static method in class org.tensorflow.distruntime.CleanupAllRequest

newBuilder() - Static method in class org.tensorflow.distruntime.CleanupAllResponse

newBuilder() - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

newBuilder() - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

newBuilder() - Static method in class org.tensorflow.distruntime.CloseSessionRequest

newBuilder() - Static method in class org.tensorflow.distruntime.CloseSessionResponse

newBuilder() - Static method in class org.tensorflow.distruntime.ClusterDef

newBuilder() - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

newBuilder() - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

newBuilder() - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

newBuilder() - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

newBuilder() - Static method in class org.tensorflow.distruntime.CreateSessionRequest

newBuilder() - Static method in class org.tensorflow.distruntime.CreateSessionResponse

newBuilder() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

newBuilder() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

newBuilder() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

newBuilder() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

newBuilder() - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

newBuilder() - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

newBuilder() - Static method in class org.tensorflow.distruntime.ExecutorOpts

newBuilder() - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

newBuilder() - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

newBuilder() - Static method in class org.tensorflow.distruntime.GetStatusRequest

newBuilder() - Static method in class org.tensorflow.distruntime.GetStatusResponse

newBuilder() - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

newBuilder() - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

newBuilder() - Static method in class org.tensorflow.distruntime.JobDef

newBuilder() - Static method in class org.tensorflow.distruntime.LabeledStepStats

newBuilder() - Static method in class org.tensorflow.distruntime.ListDevicesRequest

newBuilder() - Static method in class org.tensorflow.distruntime.ListDevicesResponse

newBuilder() - Static method in class org.tensorflow.distruntime.LoggingRequest

newBuilder() - Static method in class org.tensorflow.distruntime.LoggingResponse

newBuilder() - Static method in class org.tensorflow.distruntime.MakeCallableRequest

newBuilder() - Static method in class org.tensorflow.distruntime.MakeCallableResponse

newBuilder() - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

newBuilder() - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

newBuilder() - Static method in class org.tensorflow.distruntime.RecvBufRequest

newBuilder() - Static method in class org.tensorflow.distruntime.RecvBufResponse

newBuilder() - Static method in class org.tensorflow.distruntime.RecvTensorRequest

newBuilder() - Static method in class org.tensorflow.distruntime.RecvTensorResponse

newBuilder() - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

newBuilder() - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

newBuilder() - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

newBuilder() - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

newBuilder() - Static method in class org.tensorflow.distruntime.ResetRequest

newBuilder() - Static method in class org.tensorflow.distruntime.ResetResponse

newBuilder() - Static method in class org.tensorflow.distruntime.RunCallableRequest

newBuilder() - Static method in class org.tensorflow.distruntime.RunCallableResponse

newBuilder() - Static method in class org.tensorflow.distruntime.RunGraphRequest

newBuilder() - Static method in class org.tensorflow.distruntime.RunGraphResponse

newBuilder() - Static method in class org.tensorflow.distruntime.RunStepRequest

newBuilder() - Static method in class org.tensorflow.distruntime.RunStepResponse

newBuilder() - Static method in class org.tensorflow.distruntime.ServerDef

newBuilder() - Static method in class org.tensorflow.distruntime.StepSequence

newBuilder() - Static method in class org.tensorflow.distruntime.TraceOpts

newBuilder() - Static method in class org.tensorflow.distruntime.TracingRequest

newBuilder() - Static method in class org.tensorflow.distruntime.TracingResponse

newBuilder() - Static method in class org.tensorflow.framework.AllocationDescription

newBuilder() - Static method in class org.tensorflow.framework.AllocationRecord

newBuilder() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

newBuilder() - Static method in class org.tensorflow.framework.ApiDef.Arg

newBuilder() - Static method in class org.tensorflow.framework.ApiDef.Attr

newBuilder() - Static method in class org.tensorflow.framework.ApiDef.Endpoint

newBuilder() - Static method in class org.tensorflow.framework.ApiDef

newBuilder() - Static method in class org.tensorflow.framework.ApiDefs

newBuilder() - Static method in class org.tensorflow.framework.AssetFileDef

newBuilder() - Static method in class org.tensorflow.framework.AttrValue.ListValue

newBuilder() - Static method in class org.tensorflow.framework.AttrValue

newBuilder() - Static method in class org.tensorflow.framework.AutoParallelOptions

newBuilder() - Static method in class org.tensorflow.framework.CallableOptions

newBuilder() - Static method in class org.tensorflow.framework.CollectionDef.AnyList

newBuilder() - Static method in class org.tensorflow.framework.CollectionDef.BytesList

newBuilder() - Static method in class org.tensorflow.framework.CollectionDef.FloatList

newBuilder() - Static method in class org.tensorflow.framework.CollectionDef.Int64List

newBuilder() - Static method in class org.tensorflow.framework.CollectionDef

newBuilder() - Static method in class org.tensorflow.framework.CollectionDef.NodeList

newBuilder() - Static method in class org.tensorflow.framework.CondContextDef

newBuilder() - Static method in class org.tensorflow.framework.ConfigProto.Experimental

newBuilder() - Static method in class org.tensorflow.framework.ConfigProto

newBuilder() - Static method in class org.tensorflow.framework.ControlFlowContextDef

newBuilder() - Static method in class org.tensorflow.framework.CostGraphDef

newBuilder() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

newBuilder() - Static method in class org.tensorflow.framework.CostGraphDef.Node

newBuilder() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

newBuilder() - Static method in class org.tensorflow.framework.CriticalSectionDef

newBuilder() - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

newBuilder() - Static method in class org.tensorflow.framework.DebuggedSourceFile

newBuilder() - Static method in class org.tensorflow.framework.DebuggedSourceFiles

newBuilder() - Static method in class org.tensorflow.framework.DebugOptions

newBuilder() - Static method in class org.tensorflow.framework.DebugTensorWatch

newBuilder() - Static method in class org.tensorflow.framework.DeviceAttributes

newBuilder() - Static method in class org.tensorflow.framework.DeviceLocality

newBuilder() - Static method in class org.tensorflow.framework.DeviceStepStats

newBuilder() - Static method in class org.tensorflow.framework.FunctionDef

newBuilder() - Static method in class org.tensorflow.framework.FunctionDefLibrary

newBuilder() - Static method in class org.tensorflow.framework.GPUOptions.Experimental

newBuilder() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

newBuilder() - Static method in class org.tensorflow.framework.GPUOptions

newBuilder() - Static method in class org.tensorflow.framework.GradientDef

newBuilder() - Static method in class org.tensorflow.framework.GraphDef

newBuilder() - Static method in class org.tensorflow.framework.GraphOptions

newBuilder() - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

newBuilder() - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

newBuilder() - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

newBuilder() - Static method in class org.tensorflow.framework.GraphTransferInfo

newBuilder() - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

newBuilder() - Static method in class org.tensorflow.framework.GraphTransferNodeInput

newBuilder() - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

newBuilder() - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

newBuilder() - Static method in class org.tensorflow.framework.HistogramProto

newBuilder() - Static method in class org.tensorflow.framework.InterconnectLink

newBuilder() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

newBuilder() - Static method in class org.tensorflow.framework.KernelDef

newBuilder() - Static method in class org.tensorflow.framework.LocalLinks

newBuilder() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

newBuilder() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

newBuilder() - Static method in class org.tensorflow.framework.MemoryLogStep

newBuilder() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

newBuilder() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

newBuilder() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

newBuilder() - Static method in class org.tensorflow.framework.MemoryStats

newBuilder() - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

newBuilder() - Static method in class org.tensorflow.framework.MetaGraphDef

newBuilder() - Static method in class org.tensorflow.framework.NameAttrList

newBuilder() - Static method in class org.tensorflow.framework.NamedTensorProto

newBuilder() - Static method in class org.tensorflow.framework.NodeDef

newBuilder() - Static method in class org.tensorflow.framework.NodeExecStats

newBuilder() - Static method in class org.tensorflow.framework.NodeOutput

newBuilder() - Static method in class org.tensorflow.framework.OpDef.ArgDef

newBuilder() - Static method in class org.tensorflow.framework.OpDef.AttrDef

newBuilder() - Static method in class org.tensorflow.framework.OpDef

newBuilder() - Static method in class org.tensorflow.framework.OpDeprecation

newBuilder() - Static method in class org.tensorflow.framework.OpList

newBuilder() - Static method in class org.tensorflow.framework.OptimizerOptions

newBuilder() - Static method in class org.tensorflow.framework.QueueRunnerDef

newBuilder() - Static method in class org.tensorflow.framework.ReaderBaseState

newBuilder() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

newBuilder() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

newBuilder() - Static method in class org.tensorflow.framework.ResourceHandleProto

newBuilder() - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

newBuilder() - Static method in class org.tensorflow.framework.RewriterConfig

newBuilder() - Static method in class org.tensorflow.framework.RPCOptions

newBuilder() - Static method in class org.tensorflow.framework.RunMetadata

newBuilder() - Static method in class org.tensorflow.framework.RunOptions.Experimental

newBuilder() - Static method in class org.tensorflow.framework.RunOptions

newBuilder() - Static method in class org.tensorflow.framework.SavedModel

newBuilder() - Static method in class org.tensorflow.framework.SaveSliceInfoDef

newBuilder() - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

newBuilder() - Static method in class org.tensorflow.framework.SignatureDef

newBuilder() - Static method in class org.tensorflow.framework.StepStats

newBuilder() - Static method in class org.tensorflow.framework.Summary.Audio

newBuilder() - Static method in class org.tensorflow.framework.Summary.Image

newBuilder() - Static method in class org.tensorflow.framework.Summary

newBuilder() - Static method in class org.tensorflow.framework.Summary.Value

newBuilder() - Static method in class org.tensorflow.framework.SummaryDescription

newBuilder() - Static method in class org.tensorflow.framework.SummaryMetadata

newBuilder() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

newBuilder() - Static method in class org.tensorflow.framework.TensorConnection

newBuilder() - Static method in class org.tensorflow.framework.TensorDescription

newBuilder() - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

newBuilder() - Static method in class org.tensorflow.framework.TensorInfo

newBuilder() - Static method in class org.tensorflow.framework.TensorProto

newBuilder() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

newBuilder() - Static method in class org.tensorflow.framework.TensorShapeProto

newBuilder() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

newBuilder() - Static method in class org.tensorflow.framework.TensorSliceProto

newBuilder() - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

newBuilder() - Static method in class org.tensorflow.framework.ValuesDef

newBuilder() - Static method in class org.tensorflow.framework.VariableDef

newBuilder() - Static method in class org.tensorflow.framework.VariantTensorDataProto

newBuilder() - Static method in class org.tensorflow.framework.VersionDef

newBuilder() - Static method in class org.tensorflow.framework.WhileContextDef

newBuilder() - Static method in class org.tensorflow.util.BundleEntryProto

newBuilder() - Static method in class org.tensorflow.util.BundleHeaderProto

newBuilder() - Static method in class org.tensorflow.util.IteratorStateMetadata

newBuilder() - Static method in class org.tensorflow.util.SaverDef

newBuilder() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

newBuilder() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

newBuilder() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

newBuilder() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

newBuilder() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

newBuilder() - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

newBuilder() - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

newBuilder() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

newBuilder() - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

newBuilder(Onnx.AttributeProto) - Static method in class onnx.Onnx.AttributeProto

newBuilder(Onnx.FunctionProto) - Static method in class onnx.Onnx.FunctionProto

newBuilder(Onnx.GraphProto) - Static method in class onnx.Onnx.GraphProto

newBuilder(Onnx.ModelProto) - Static method in class onnx.Onnx.ModelProto

newBuilder(Onnx.NodeProto) - Static method in class onnx.Onnx.NodeProto

newBuilder(Onnx.OperatorSetIdProto) - Static method in class onnx.Onnx.OperatorSetIdProto

newBuilder(Onnx.SparseTensorProto) - Static method in class onnx.Onnx.SparseTensorProto

newBuilder(Onnx.StringStringEntryProto) - Static method in class onnx.Onnx.StringStringEntryProto

newBuilder(Onnx.TensorAnnotation) - Static method in class onnx.Onnx.TensorAnnotation

newBuilder(Onnx.TensorProto) - Static method in class onnx.Onnx.TensorProto

newBuilder(Onnx.TensorProto.Segment) - Static method in class onnx.Onnx.TensorProto.Segment

newBuilder(Onnx.TensorShapeProto) - Static method in class onnx.Onnx.TensorShapeProto

newBuilder(Onnx.TensorShapeProto.Dimension) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

newBuilder(Onnx.TrainingInfoProto) - Static method in class onnx.Onnx.TrainingInfoProto

newBuilder(Onnx.TypeProto) - Static method in class onnx.Onnx.TypeProto

newBuilder(Onnx.TypeProto.Map) - Static method in class onnx.Onnx.TypeProto.Map

newBuilder(Onnx.TypeProto.Optional) - Static method in class onnx.Onnx.TypeProto.Optional

newBuilder(Onnx.TypeProto.Sequence) - Static method in class onnx.Onnx.TypeProto.Sequence

newBuilder(Onnx.TypeProto.SparseTensor) - Static method in class onnx.Onnx.TypeProto.SparseTensor

newBuilder(Onnx.TypeProto.Tensor) - Static method in class onnx.Onnx.TypeProto.Tensor

newBuilder(Onnx.ValueInfoProto) - Static method in class onnx.Onnx.ValueInfoProto

newBuilder(OnnxMl.AttributeProto) - Static method in class onnx.OnnxMl.AttributeProto

newBuilder(OnnxMl.FunctionProto) - Static method in class onnx.OnnxMl.FunctionProto

newBuilder(OnnxMl.GraphProto) - Static method in class onnx.OnnxMl.GraphProto

newBuilder(OnnxMl.ModelProto) - Static method in class onnx.OnnxMl.ModelProto

newBuilder(OnnxMl.NodeProto) - Static method in class onnx.OnnxMl.NodeProto

newBuilder(OnnxMl.OperatorSetIdProto) - Static method in class onnx.OnnxMl.OperatorSetIdProto

newBuilder(OnnxMl.SparseTensorProto) - Static method in class onnx.OnnxMl.SparseTensorProto

newBuilder(OnnxMl.StringStringEntryProto) - Static method in class onnx.OnnxMl.StringStringEntryProto

newBuilder(OnnxMl.TensorAnnotation) - Static method in class onnx.OnnxMl.TensorAnnotation

newBuilder(OnnxMl.TensorProto) - Static method in class onnx.OnnxMl.TensorProto

newBuilder(OnnxMl.TensorProto.Segment) - Static method in class onnx.OnnxMl.TensorProto.Segment

newBuilder(OnnxMl.TensorShapeProto) - Static method in class onnx.OnnxMl.TensorShapeProto

newBuilder(OnnxMl.TensorShapeProto.Dimension) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

newBuilder(OnnxMl.TrainingInfoProto) - Static method in class onnx.OnnxMl.TrainingInfoProto

newBuilder(OnnxMl.TypeProto) - Static method in class onnx.OnnxMl.TypeProto

newBuilder(OnnxMl.TypeProto.Map) - Static method in class onnx.OnnxMl.TypeProto.Map

newBuilder(OnnxMl.TypeProto.Opaque) - Static method in class onnx.OnnxMl.TypeProto.Opaque

newBuilder(OnnxMl.TypeProto.Optional) - Static method in class onnx.OnnxMl.TypeProto.Optional

newBuilder(OnnxMl.TypeProto.Sequence) - Static method in class onnx.OnnxMl.TypeProto.Sequence

newBuilder(OnnxMl.TypeProto.SparseTensor) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

newBuilder(OnnxMl.TypeProto.Tensor) - Static method in class onnx.OnnxMl.TypeProto.Tensor

newBuilder(OnnxMl.ValueInfoProto) - Static method in class onnx.OnnxMl.ValueInfoProto

newBuilder(OnnxOperators.OperatorProto) - Static method in class onnx.OnnxOperators.OperatorProto

newBuilder(OnnxOperators.OperatorSetProto) - Static method in class onnx.OnnxOperators.OperatorSetProto

newBuilder(MapperNamespace.MapperDeclaration) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

newBuilder(MapperNamespace.MappingDefinitionSet) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

newBuilder(MapperNamespace.MappingRule) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

newBuilder(MapperNamespace.TransformerArgs) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

newBuilder(OpNamespace.ArgDescriptor) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

newBuilder(OpNamespace.OpDescriptor) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

newBuilder(OpNamespace.OpDescriptorList) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

newBuilder(TensorNamespace.StringStringEntryProto) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

newBuilder(TensorNamespace.TensorProto) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

newBuilder(TensorNamespace.TensorProto.Segment) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

newBuilder(TensorNamespace.TensorShapeProto) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

newBuilder(TensorNamespace.TensorShapeProto.Dimension) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

newBuilder(TensorNamespace.TypeProto) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

newBuilder(TensorNamespace.TypeProto.TensorDescriptor) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

newBuilder(TensorNamespace.ValueInfoProto) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

newBuilder(CleanupAllRequest) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

newBuilder(CleanupAllResponse) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

newBuilder(CleanupGraphRequest) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

newBuilder(CleanupGraphResponse) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

newBuilder(CloseSessionRequest) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

newBuilder(CloseSessionResponse) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

newBuilder(ClusterDef) - Static method in class org.tensorflow.distruntime.ClusterDef

newBuilder(CompleteGroupRequest) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

newBuilder(CompleteGroupResponse) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

newBuilder(CompleteInstanceRequest) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

newBuilder(CompleteInstanceResponse) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

newBuilder(CreateSessionRequest) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

newBuilder(CreateSessionResponse) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

newBuilder(CreateWorkerSessionRequest) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

newBuilder(CreateWorkerSessionResponse) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

newBuilder(DeleteWorkerSessionRequest) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

newBuilder(DeleteWorkerSessionResponse) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

newBuilder(DeregisterGraphRequest) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

newBuilder(DeregisterGraphResponse) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

newBuilder(ExecutorOpts) - Static method in class org.tensorflow.distruntime.ExecutorOpts

newBuilder(ExtendSessionRequest) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

newBuilder(ExtendSessionResponse) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

newBuilder(GetStatusRequest) - Static method in class org.tensorflow.distruntime.GetStatusRequest

newBuilder(GetStatusResponse) - Static method in class org.tensorflow.distruntime.GetStatusResponse

newBuilder(GetStepSequenceRequest) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

newBuilder(GetStepSequenceResponse) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

newBuilder(JobDef) - Static method in class org.tensorflow.distruntime.JobDef

newBuilder(LabeledStepStats) - Static method in class org.tensorflow.distruntime.LabeledStepStats

newBuilder(ListDevicesRequest) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

newBuilder(ListDevicesResponse) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

newBuilder(LoggingRequest) - Static method in class org.tensorflow.distruntime.LoggingRequest

newBuilder(LoggingResponse) - Static method in class org.tensorflow.distruntime.LoggingResponse

newBuilder(MakeCallableRequest) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

newBuilder(MakeCallableResponse) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

newBuilder(PartialRunSetupRequest) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

newBuilder(PartialRunSetupResponse) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

newBuilder(RecvBufRequest) - Static method in class org.tensorflow.distruntime.RecvBufRequest

newBuilder(RecvBufResponse) - Static method in class org.tensorflow.distruntime.RecvBufResponse

newBuilder(RecvTensorRequest) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

newBuilder(RecvTensorResponse) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

newBuilder(RegisterGraphRequest) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

newBuilder(RegisterGraphResponse) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

newBuilder(ReleaseCallableRequest) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

newBuilder(ReleaseCallableResponse) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

newBuilder(ResetRequest) - Static method in class org.tensorflow.distruntime.ResetRequest

newBuilder(ResetResponse) - Static method in class org.tensorflow.distruntime.ResetResponse

newBuilder(RunCallableRequest) - Static method in class org.tensorflow.distruntime.RunCallableRequest

newBuilder(RunCallableResponse) - Static method in class org.tensorflow.distruntime.RunCallableResponse

newBuilder(RunGraphRequest) - Static method in class org.tensorflow.distruntime.RunGraphRequest

newBuilder(RunGraphResponse) - Static method in class org.tensorflow.distruntime.RunGraphResponse

newBuilder(RunStepRequest) - Static method in class org.tensorflow.distruntime.RunStepRequest

newBuilder(RunStepResponse) - Static method in class org.tensorflow.distruntime.RunStepResponse

newBuilder(ServerDef) - Static method in class org.tensorflow.distruntime.ServerDef

newBuilder(StepSequence) - Static method in class org.tensorflow.distruntime.StepSequence

newBuilder(TraceOpts) - Static method in class org.tensorflow.distruntime.TraceOpts

newBuilder(TracingRequest) - Static method in class org.tensorflow.distruntime.TracingRequest

newBuilder(TracingResponse) - Static method in class org.tensorflow.distruntime.TracingResponse

newBuilder(AllocationDescription) - Static method in class org.tensorflow.framework.AllocationDescription

newBuilder(AllocationRecord) - Static method in class org.tensorflow.framework.AllocationRecord

newBuilder(AllocatorMemoryUsed) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

newBuilder(ApiDef) - Static method in class org.tensorflow.framework.ApiDef

newBuilder(ApiDef.Arg) - Static method in class org.tensorflow.framework.ApiDef.Arg

newBuilder(ApiDef.Attr) - Static method in class org.tensorflow.framework.ApiDef.Attr

newBuilder(ApiDef.Endpoint) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

newBuilder(ApiDefs) - Static method in class org.tensorflow.framework.ApiDefs

newBuilder(AssetFileDef) - Static method in class org.tensorflow.framework.AssetFileDef

newBuilder(AttrValue) - Static method in class org.tensorflow.framework.AttrValue

newBuilder(AttrValue.ListValue) - Static method in class org.tensorflow.framework.AttrValue.ListValue

newBuilder(AutoParallelOptions) - Static method in class org.tensorflow.framework.AutoParallelOptions

newBuilder(CallableOptions) - Static method in class org.tensorflow.framework.CallableOptions

newBuilder(CollectionDef) - Static method in class org.tensorflow.framework.CollectionDef

newBuilder(CollectionDef.AnyList) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

newBuilder(CollectionDef.BytesList) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

newBuilder(CollectionDef.FloatList) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

newBuilder(CollectionDef.Int64List) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

newBuilder(CollectionDef.NodeList) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

newBuilder(CondContextDef) - Static method in class org.tensorflow.framework.CondContextDef

newBuilder(ConfigProto) - Static method in class org.tensorflow.framework.ConfigProto

newBuilder(ConfigProto.Experimental) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

newBuilder(ControlFlowContextDef) - Static method in class org.tensorflow.framework.ControlFlowContextDef

newBuilder(CostGraphDef) - Static method in class org.tensorflow.framework.CostGraphDef

newBuilder(CostGraphDef.Node) - Static method in class org.tensorflow.framework.CostGraphDef.Node

newBuilder(CostGraphDef.Node.InputInfo) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

newBuilder(CostGraphDef.Node.OutputInfo) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

newBuilder(CriticalSectionDef) - Static method in class org.tensorflow.framework.CriticalSectionDef

newBuilder(CriticalSectionExecutionDef) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

newBuilder(DebuggedSourceFile) - Static method in class org.tensorflow.framework.DebuggedSourceFile

newBuilder(DebuggedSourceFiles) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

newBuilder(DebugOptions) - Static method in class org.tensorflow.framework.DebugOptions

newBuilder(DebugTensorWatch) - Static method in class org.tensorflow.framework.DebugTensorWatch

newBuilder(DeviceAttributes) - Static method in class org.tensorflow.framework.DeviceAttributes

newBuilder(DeviceLocality) - Static method in class org.tensorflow.framework.DeviceLocality

newBuilder(DeviceStepStats) - Static method in class org.tensorflow.framework.DeviceStepStats

newBuilder(FunctionDef) - Static method in class org.tensorflow.framework.FunctionDef

newBuilder(FunctionDefLibrary) - Static method in class org.tensorflow.framework.FunctionDefLibrary

newBuilder(GPUOptions) - Static method in class org.tensorflow.framework.GPUOptions

newBuilder(GPUOptions.Experimental) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

newBuilder(GPUOptions.Experimental.VirtualDevices) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

newBuilder(GradientDef) - Static method in class org.tensorflow.framework.GradientDef

newBuilder(GraphDef) - Static method in class org.tensorflow.framework.GraphDef

newBuilder(GraphOptions) - Static method in class org.tensorflow.framework.GraphOptions

newBuilder(GraphTransferConstNodeInfo) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

newBuilder(GraphTransferGraphInputNodeInfo) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

newBuilder(GraphTransferGraphOutputNodeInfo) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

newBuilder(GraphTransferInfo) - Static method in class org.tensorflow.framework.GraphTransferInfo

newBuilder(GraphTransferNodeInfo) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

newBuilder(GraphTransferNodeInput) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

newBuilder(GraphTransferNodeInputInfo) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

newBuilder(GraphTransferNodeOutputInfo) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

newBuilder(HistogramProto) - Static method in class org.tensorflow.framework.HistogramProto

newBuilder(InterconnectLink) - Static method in class org.tensorflow.framework.InterconnectLink

newBuilder(KernelDef) - Static method in class org.tensorflow.framework.KernelDef

newBuilder(KernelDef.AttrConstraint) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

newBuilder(LocalLinks) - Static method in class org.tensorflow.framework.LocalLinks

newBuilder(MemoryLogRawAllocation) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

newBuilder(MemoryLogRawDeallocation) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

newBuilder(MemoryLogStep) - Static method in class org.tensorflow.framework.MemoryLogStep

newBuilder(MemoryLogTensorAllocation) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

newBuilder(MemoryLogTensorDeallocation) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

newBuilder(MemoryLogTensorOutput) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

newBuilder(MemoryStats) - Static method in class org.tensorflow.framework.MemoryStats

newBuilder(MetaGraphDef) - Static method in class org.tensorflow.framework.MetaGraphDef

newBuilder(MetaGraphDef.MetaInfoDef) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

newBuilder(NameAttrList) - Static method in class org.tensorflow.framework.NameAttrList

newBuilder(NamedTensorProto) - Static method in class org.tensorflow.framework.NamedTensorProto

newBuilder(NodeDef) - Static method in class org.tensorflow.framework.NodeDef

newBuilder(NodeExecStats) - Static method in class org.tensorflow.framework.NodeExecStats

newBuilder(NodeOutput) - Static method in class org.tensorflow.framework.NodeOutput

newBuilder(OpDef) - Static method in class org.tensorflow.framework.OpDef

newBuilder(OpDef.ArgDef) - Static method in class org.tensorflow.framework.OpDef.ArgDef

newBuilder(OpDef.AttrDef) - Static method in class org.tensorflow.framework.OpDef.AttrDef

newBuilder(OpDeprecation) - Static method in class org.tensorflow.framework.OpDeprecation

newBuilder(OpList) - Static method in class org.tensorflow.framework.OpList

newBuilder(OptimizerOptions) - Static method in class org.tensorflow.framework.OptimizerOptions

newBuilder(QueueRunnerDef) - Static method in class org.tensorflow.framework.QueueRunnerDef

newBuilder(ReaderBaseState) - Static method in class org.tensorflow.framework.ReaderBaseState

newBuilder(RemoteFusedGraphExecuteInfo) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

newBuilder(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

newBuilder(ResourceHandleProto) - Static method in class org.tensorflow.framework.ResourceHandleProto

newBuilder(RewriterConfig) - Static method in class org.tensorflow.framework.RewriterConfig

newBuilder(RewriterConfig.CustomGraphOptimizer) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

newBuilder(RPCOptions) - Static method in class org.tensorflow.framework.RPCOptions

newBuilder(RunMetadata) - Static method in class org.tensorflow.framework.RunMetadata

newBuilder(RunOptions) - Static method in class org.tensorflow.framework.RunOptions

newBuilder(RunOptions.Experimental) - Static method in class org.tensorflow.framework.RunOptions.Experimental

newBuilder(SavedModel) - Static method in class org.tensorflow.framework.SavedModel

newBuilder(SaveSliceInfoDef) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

newBuilder(ScopedAllocatorOptions) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

newBuilder(SignatureDef) - Static method in class org.tensorflow.framework.SignatureDef

newBuilder(StepStats) - Static method in class org.tensorflow.framework.StepStats

newBuilder(Summary) - Static method in class org.tensorflow.framework.Summary

newBuilder(Summary.Audio) - Static method in class org.tensorflow.framework.Summary.Audio

newBuilder(Summary.Image) - Static method in class org.tensorflow.framework.Summary.Image

newBuilder(Summary.Value) - Static method in class org.tensorflow.framework.Summary.Value

newBuilder(SummaryDescription) - Static method in class org.tensorflow.framework.SummaryDescription

newBuilder(SummaryMetadata) - Static method in class org.tensorflow.framework.SummaryMetadata

newBuilder(SummaryMetadata.PluginData) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

newBuilder(TensorConnection) - Static method in class org.tensorflow.framework.TensorConnection

newBuilder(TensorDescription) - Static method in class org.tensorflow.framework.TensorDescription

newBuilder(TensorInfo) - Static method in class org.tensorflow.framework.TensorInfo

newBuilder(TensorInfo.CooSparse) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

newBuilder(TensorProto) - Static method in class org.tensorflow.framework.TensorProto

newBuilder(TensorShapeProto) - Static method in class org.tensorflow.framework.TensorShapeProto

newBuilder(TensorShapeProto.Dim) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

newBuilder(TensorSliceProto) - Static method in class org.tensorflow.framework.TensorSliceProto

newBuilder(TensorSliceProto.Extent) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

newBuilder(ThreadPoolOptionProto) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

newBuilder(ValuesDef) - Static method in class org.tensorflow.framework.ValuesDef

newBuilder(VariableDef) - Static method in class org.tensorflow.framework.VariableDef

newBuilder(VariantTensorDataProto) - Static method in class org.tensorflow.framework.VariantTensorDataProto

newBuilder(VersionDef) - Static method in class org.tensorflow.framework.VersionDef

newBuilder(WhileContextDef) - Static method in class org.tensorflow.framework.WhileContextDef

newBuilder(BundleEntryProto) - Static method in class org.tensorflow.util.BundleEntryProto

newBuilder(BundleHeaderProto) - Static method in class org.tensorflow.util.BundleHeaderProto

newBuilder(IteratorStateMetadata) - Static method in class org.tensorflow.util.IteratorStateMetadata

newBuilder(SaverDef) - Static method in class org.tensorflow.util.SaverDef

newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

newBuilder(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

newBuilder(DevicePropertiesProtos.DeviceProperties) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

newBuilder(DevicePropertiesProtos.NamedDevice) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

newBuilder(EagerServiceOuterClass.CloseContextRequest) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

newBuilder(EagerServiceOuterClass.CloseContextResponse) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

newBuilder(EagerServiceOuterClass.CreateContextRequest) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

newBuilder(EagerServiceOuterClass.CreateContextResponse) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

newBuilder(EagerServiceOuterClass.EnqueueRequest) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

newBuilder(EagerServiceOuterClass.EnqueueResponse) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

newBuilder(EagerServiceOuterClass.KeepAliveRequest) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

newBuilder(EagerServiceOuterClass.KeepAliveResponse) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

newBuilder(EagerServiceOuterClass.Operation) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

newBuilder(EagerServiceOuterClass.QueueItem) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

newBuilder(EagerServiceOuterClass.RegisterFunctionRequest) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

newBuilder(EagerServiceOuterClass.RegisterFunctionResponse) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

newBuilder(EagerServiceOuterClass.RemoteTensorHandle) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

newBuilder(EagerServiceOuterClass.WaitQueueDoneRequest) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

newBuilder(EagerServiceOuterClass.WaitQueueDoneResponse) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

newBuilder(TransportOptions.RecvBufRespExtra) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

newBuilderForType() - Method in class onnx.Onnx.AttributeProto

newBuilderForType() - Method in class onnx.Onnx.FunctionProto

newBuilderForType() - Method in class onnx.Onnx.GraphProto

newBuilderForType() - Method in class onnx.Onnx.ModelProto

newBuilderForType() - Method in class onnx.Onnx.NodeProto

newBuilderForType() - Method in class onnx.Onnx.OperatorSetIdProto

newBuilderForType() - Method in class onnx.Onnx.SparseTensorProto

newBuilderForType() - Method in class onnx.Onnx.StringStringEntryProto

newBuilderForType() - Method in class onnx.Onnx.TensorAnnotation

newBuilderForType() - Method in class onnx.Onnx.TensorProto

newBuilderForType() - Method in class onnx.Onnx.TensorProto.Segment

newBuilderForType() - Method in class onnx.Onnx.TensorShapeProto.Dimension

newBuilderForType() - Method in class onnx.Onnx.TensorShapeProto

newBuilderForType() - Method in class onnx.Onnx.TrainingInfoProto

newBuilderForType() - Method in class onnx.Onnx.TypeProto.Map

newBuilderForType() - Method in class onnx.Onnx.TypeProto

newBuilderForType() - Method in class onnx.Onnx.TypeProto.Optional

newBuilderForType() - Method in class onnx.Onnx.TypeProto.Sequence

newBuilderForType() - Method in class onnx.Onnx.TypeProto.SparseTensor

newBuilderForType() - Method in class onnx.Onnx.TypeProto.Tensor

newBuilderForType() - Method in class onnx.Onnx.ValueInfoProto

newBuilderForType() - Method in class onnx.OnnxMl.AttributeProto

newBuilderForType() - Method in class onnx.OnnxMl.FunctionProto

newBuilderForType() - Method in class onnx.OnnxMl.GraphProto

newBuilderForType() - Method in class onnx.OnnxMl.ModelProto

newBuilderForType() - Method in class onnx.OnnxMl.NodeProto

newBuilderForType() - Method in class onnx.OnnxMl.OperatorSetIdProto

newBuilderForType() - Method in class onnx.OnnxMl.SparseTensorProto

newBuilderForType() - Method in class onnx.OnnxMl.StringStringEntryProto

newBuilderForType() - Method in class onnx.OnnxMl.TensorAnnotation

newBuilderForType() - Method in class onnx.OnnxMl.TensorProto

newBuilderForType() - Method in class onnx.OnnxMl.TensorProto.Segment

newBuilderForType() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

newBuilderForType() - Method in class onnx.OnnxMl.TensorShapeProto

newBuilderForType() - Method in class onnx.OnnxMl.TrainingInfoProto

newBuilderForType() - Method in class onnx.OnnxMl.TypeProto.Map

newBuilderForType() - Method in class onnx.OnnxMl.TypeProto

newBuilderForType() - Method in class onnx.OnnxMl.TypeProto.Opaque

newBuilderForType() - Method in class onnx.OnnxMl.TypeProto.Optional

newBuilderForType() - Method in class onnx.OnnxMl.TypeProto.Sequence

newBuilderForType() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

newBuilderForType() - Method in class onnx.OnnxMl.TypeProto.Tensor

newBuilderForType() - Method in class onnx.OnnxMl.ValueInfoProto

newBuilderForType() - Method in class onnx.OnnxOperators.OperatorProto

newBuilderForType() - Method in class onnx.OnnxOperators.OperatorSetProto

newBuilderForType() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

newBuilderForType() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

newBuilderForType() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

newBuilderForType() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

newBuilderForType() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

newBuilderForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

newBuilderForType() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

newBuilderForType() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

newBuilderForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

newBuilderForType() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

newBuilderForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

newBuilderForType() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

newBuilderForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

newBuilderForType() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

newBuilderForType() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

newBuilderForType() - Method in class org.tensorflow.distruntime.CleanupAllRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.CleanupAllResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.CleanupGraphResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.CloseSessionRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.CloseSessionResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.ClusterDef

newBuilderForType() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.CreateSessionRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.CreateSessionResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.ExecutorOpts

newBuilderForType() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.GetStatusRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.GetStatusResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.JobDef

newBuilderForType() - Method in class org.tensorflow.distruntime.LabeledStepStats

newBuilderForType() - Method in class org.tensorflow.distruntime.ListDevicesRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.ListDevicesResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.LoggingRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.LoggingResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.MakeCallableRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.MakeCallableResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.RecvBufRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.RecvBufResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.RecvTensorRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.RecvTensorResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.ResetRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.ResetResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.RunCallableRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.RunCallableResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.RunGraphRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.RunGraphResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.RunStepRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.RunStepResponse

newBuilderForType() - Method in class org.tensorflow.distruntime.ServerDef

newBuilderForType() - Method in class org.tensorflow.distruntime.StepSequence

newBuilderForType() - Method in class org.tensorflow.distruntime.TraceOpts

newBuilderForType() - Method in class org.tensorflow.distruntime.TracingRequest

newBuilderForType() - Method in class org.tensorflow.distruntime.TracingResponse

newBuilderForType() - Method in class org.tensorflow.framework.AllocationDescription

newBuilderForType() - Method in class org.tensorflow.framework.AllocationRecord

newBuilderForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

newBuilderForType() - Method in class org.tensorflow.framework.ApiDef.Arg

newBuilderForType() - Method in class org.tensorflow.framework.ApiDef.Attr

newBuilderForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint

newBuilderForType() - Method in class org.tensorflow.framework.ApiDef

newBuilderForType() - Method in class org.tensorflow.framework.ApiDefs

newBuilderForType() - Method in class org.tensorflow.framework.AssetFileDef

newBuilderForType() - Method in class org.tensorflow.framework.AttrValue.ListValue

newBuilderForType() - Method in class org.tensorflow.framework.AttrValue

newBuilderForType() - Method in class org.tensorflow.framework.AutoParallelOptions

newBuilderForType() - Method in class org.tensorflow.framework.CallableOptions

newBuilderForType() - Method in class org.tensorflow.framework.CollectionDef.AnyList

newBuilderForType() - Method in class org.tensorflow.framework.CollectionDef.BytesList

newBuilderForType() - Method in class org.tensorflow.framework.CollectionDef.FloatList

newBuilderForType() - Method in class org.tensorflow.framework.CollectionDef.Int64List

newBuilderForType() - Method in class org.tensorflow.framework.CollectionDef

newBuilderForType() - Method in class org.tensorflow.framework.CollectionDef.NodeList

newBuilderForType() - Method in class org.tensorflow.framework.CondContextDef

newBuilderForType() - Method in class org.tensorflow.framework.ConfigProto.Experimental

newBuilderForType() - Method in class org.tensorflow.framework.ConfigProto

newBuilderForType() - Method in class org.tensorflow.framework.ControlFlowContextDef

newBuilderForType() - Method in class org.tensorflow.framework.CostGraphDef

newBuilderForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

newBuilderForType() - Method in class org.tensorflow.framework.CostGraphDef.Node

newBuilderForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

newBuilderForType() - Method in class org.tensorflow.framework.CriticalSectionDef

newBuilderForType() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

newBuilderForType() - Method in class org.tensorflow.framework.DebuggedSourceFile

newBuilderForType() - Method in class org.tensorflow.framework.DebuggedSourceFiles

newBuilderForType() - Method in class org.tensorflow.framework.DebugOptions

newBuilderForType() - Method in class org.tensorflow.framework.DebugTensorWatch

newBuilderForType() - Method in class org.tensorflow.framework.DeviceAttributes

newBuilderForType() - Method in class org.tensorflow.framework.DeviceLocality

newBuilderForType() - Method in class org.tensorflow.framework.DeviceStepStats

newBuilderForType() - Method in class org.tensorflow.framework.FunctionDef

newBuilderForType() - Method in class org.tensorflow.framework.FunctionDefLibrary

newBuilderForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental

newBuilderForType() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

newBuilderForType() - Method in class org.tensorflow.framework.GPUOptions

newBuilderForType() - Method in class org.tensorflow.framework.GradientDef

newBuilderForType() - Method in class org.tensorflow.framework.GraphDef

newBuilderForType() - Method in class org.tensorflow.framework.GraphOptions

newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferInfo

newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferNodeInput

newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

newBuilderForType() - Method in class org.tensorflow.framework.HistogramProto

newBuilderForType() - Method in class org.tensorflow.framework.InterconnectLink

newBuilderForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

newBuilderForType() - Method in class org.tensorflow.framework.KernelDef

newBuilderForType() - Method in class org.tensorflow.framework.LocalLinks

newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogStep

newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

newBuilderForType() - Method in class org.tensorflow.framework.MemoryStats

newBuilderForType() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

newBuilderForType() - Method in class org.tensorflow.framework.MetaGraphDef

newBuilderForType() - Method in class org.tensorflow.framework.NameAttrList

newBuilderForType() - Method in class org.tensorflow.framework.NamedTensorProto

newBuilderForType() - Method in class org.tensorflow.framework.NodeDef

newBuilderForType() - Method in class org.tensorflow.framework.NodeExecStats

newBuilderForType() - Method in class org.tensorflow.framework.NodeOutput

newBuilderForType() - Method in class org.tensorflow.framework.OpDef.ArgDef

newBuilderForType() - Method in class org.tensorflow.framework.OpDef.AttrDef

newBuilderForType() - Method in class org.tensorflow.framework.OpDef

newBuilderForType() - Method in class org.tensorflow.framework.OpDeprecation

newBuilderForType() - Method in class org.tensorflow.framework.OpList

newBuilderForType() - Method in class org.tensorflow.framework.OptimizerOptions

newBuilderForType() - Method in class org.tensorflow.framework.QueueRunnerDef

newBuilderForType() - Method in class org.tensorflow.framework.ReaderBaseState

newBuilderForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

newBuilderForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

newBuilderForType() - Method in class org.tensorflow.framework.ResourceHandleProto

newBuilderForType() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

newBuilderForType() - Method in class org.tensorflow.framework.RewriterConfig

newBuilderForType() - Method in class org.tensorflow.framework.RPCOptions

newBuilderForType() - Method in class org.tensorflow.framework.RunMetadata

newBuilderForType() - Method in class org.tensorflow.framework.RunOptions.Experimental

newBuilderForType() - Method in class org.tensorflow.framework.RunOptions

newBuilderForType() - Method in class org.tensorflow.framework.SavedModel

newBuilderForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef

newBuilderForType() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

newBuilderForType() - Method in class org.tensorflow.framework.SignatureDef

newBuilderForType() - Method in class org.tensorflow.framework.StepStats

newBuilderForType() - Method in class org.tensorflow.framework.Summary.Audio

newBuilderForType() - Method in class org.tensorflow.framework.Summary.Image

newBuilderForType() - Method in class org.tensorflow.framework.Summary

newBuilderForType() - Method in class org.tensorflow.framework.Summary.Value

newBuilderForType() - Method in class org.tensorflow.framework.SummaryDescription

newBuilderForType() - Method in class org.tensorflow.framework.SummaryMetadata

newBuilderForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

newBuilderForType() - Method in class org.tensorflow.framework.TensorConnection

newBuilderForType() - Method in class org.tensorflow.framework.TensorDescription

newBuilderForType() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

newBuilderForType() - Method in class org.tensorflow.framework.TensorInfo

newBuilderForType() - Method in class org.tensorflow.framework.TensorProto

newBuilderForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

newBuilderForType() - Method in class org.tensorflow.framework.TensorShapeProto

newBuilderForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

newBuilderForType() - Method in class org.tensorflow.framework.TensorSliceProto

newBuilderForType() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

newBuilderForType() - Method in class org.tensorflow.framework.ValuesDef

newBuilderForType() - Method in class org.tensorflow.framework.VariableDef

newBuilderForType() - Method in class org.tensorflow.framework.VariantTensorDataProto

newBuilderForType() - Method in class org.tensorflow.framework.VersionDef

newBuilderForType() - Method in class org.tensorflow.framework.WhileContextDef

newBuilderForType() - Method in class org.tensorflow.util.BundleEntryProto

newBuilderForType() - Method in class org.tensorflow.util.BundleHeaderProto

newBuilderForType() - Method in class org.tensorflow.util.IteratorStateMetadata

newBuilderForType() - Method in class org.tensorflow.util.SaverDef

newBuilderForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

newBuilderForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

newBuilderForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

newBuilderForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

newBuilderForType() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

newBuilderForType() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

newBuilderForType() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

newBuilderForType() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

newBuilderForType() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.AttributeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.FunctionProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.GraphProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.ModelProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.NodeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.OperatorSetIdProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.SparseTensorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.StringStringEntryProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TensorAnnotation

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TensorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TensorProto.Segment

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TensorShapeProto.Dimension

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TensorShapeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TrainingInfoProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TypeProto.Map

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TypeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TypeProto.Optional

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TypeProto.Sequence

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TypeProto.SparseTensor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.TypeProto.Tensor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.Onnx.ValueInfoProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.AttributeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.FunctionProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.GraphProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.ModelProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.NodeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.OperatorSetIdProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.SparseTensorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.StringStringEntryProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TensorAnnotation

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TensorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TensorProto.Segment

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TensorShapeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TrainingInfoProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TypeProto.Map

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TypeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TypeProto.Opaque

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TypeProto.Optional

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TypeProto.Sequence

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TypeProto.SparseTensor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.TypeProto.Tensor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMl.ValueInfoProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxOperators.OperatorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxOperators.OperatorSetProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.TensorNamespace.TypeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CleanupAllRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CleanupAllResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CleanupGraphRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CleanupGraphResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CloseSessionRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CloseSessionResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ClusterDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CompleteGroupRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CompleteGroupResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CreateSessionRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CreateSessionResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ExecutorOpts

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ExtendSessionRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ExtendSessionResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.GetStatusRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.GetStatusResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.JobDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.LabeledStepStats

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ListDevicesRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ListDevicesResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.LoggingRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.LoggingResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.MakeCallableRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.MakeCallableResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RecvBufRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RecvBufResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RecvTensorRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RecvTensorResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RegisterGraphRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RegisterGraphResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ResetRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ResetResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RunCallableRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RunCallableResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RunGraphRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RunGraphResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RunStepRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.RunStepResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.ServerDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.StepSequence

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.TraceOpts

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.TracingRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.distruntime.TracingResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AllocationDescription

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AllocationRecord

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AllocatorMemoryUsed

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDef.Arg

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDef.Attr

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDef.Endpoint

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDefs

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AssetFileDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AttrValue.ListValue

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AttrValue

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AutoParallelOptions

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CallableOptions

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CollectionDef.AnyList

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CollectionDef.BytesList

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CollectionDef.FloatList

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CollectionDef.Int64List

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CollectionDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CollectionDef.NodeList

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CondContextDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ConfigProto.Experimental

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ConfigProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ControlFlowContextDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CostGraphDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CostGraphDef.Node

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CriticalSectionDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DebuggedSourceFile

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DebuggedSourceFiles

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DebugOptions

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DebugTensorWatch

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DeviceAttributes

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DeviceLocality

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DeviceStepStats

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.FunctionDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.FunctionDefLibrary

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GPUOptions.Experimental

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GPUOptions

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GradientDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphOptions

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferNodeInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferNodeInput

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.HistogramProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.InterconnectLink

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.KernelDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.LocalLinks

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogRawAllocation

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogStep

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogTensorOutput

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryStats

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MetaGraphDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.NameAttrList

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.NamedTensorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.NodeDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.NodeExecStats

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.NodeOutput

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpDef.ArgDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpDef.AttrDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpDeprecation

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpList

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OptimizerOptions

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.QueueRunnerDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ReaderBaseState

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ResourceHandleProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RewriterConfig

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RPCOptions

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RunMetadata

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RunOptions.Experimental

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RunOptions

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SavedModel

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SaveSliceInfoDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ScopedAllocatorOptions

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SignatureDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.StepStats

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.Summary.Audio

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.Summary.Image

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.Summary

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.Summary.Value

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SummaryDescription

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SummaryMetadata

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorConnection

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorDescription

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorInfo.CooSparse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorInfo

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorShapeProto.Dim

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorShapeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorSliceProto.Extent

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorSliceProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ThreadPoolOptionProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ValuesDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.VariableDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.VariantTensorDataProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.VersionDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.WhileContextDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.util.BundleEntryProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.util.BundleHeaderProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.util.IteratorStateMetadata

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.util.SaverDef

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.TransportOptions.RecvBufRespExtra

newInstance() - Method in class org.nd4j.autodiff.listeners.impl.HistoryListener

newInstance() - Method in class org.nd4j.evaluation.classification.Evaluation

newInstance() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

newInstance() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

newInstance() - Method in class org.nd4j.evaluation.classification.ROC

newInstance() - Method in class org.nd4j.evaluation.classification.ROCBinary

newInstance() - Method in class org.nd4j.evaluation.classification.ROCMultiClass

newInstance() - Method in class org.nd4j.evaluation.custom.CustomEvaluation

newInstance() - Method in interface org.nd4j.evaluation.IEvaluation

Get a new instance of this evaluation, with the same configuration but no data.

newInstance() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.AttributeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.FunctionProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.GraphProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.ModelProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.NodeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.OperatorSetIdProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.SparseTensorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.StringStringEntryProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TensorAnnotation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TensorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TensorProto.Segment

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TensorShapeProto.Dimension

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TensorShapeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TrainingInfoProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TypeProto.Map

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TypeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TypeProto.Optional

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TypeProto.Sequence

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TypeProto.SparseTensor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.TypeProto.Tensor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.Onnx.ValueInfoProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.AttributeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.FunctionProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.GraphProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.ModelProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.NodeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.OperatorSetIdProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.SparseTensorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.StringStringEntryProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TensorAnnotation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TensorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TensorProto.Segment

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TensorShapeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TrainingInfoProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TypeProto.Map

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TypeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TypeProto.Opaque

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TypeProto.Optional

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TypeProto.Sequence

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TypeProto.SparseTensor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.TypeProto.Tensor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxMl.ValueInfoProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxOperators.OperatorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class onnx.OnnxOperators.OperatorSetProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.TensorNamespace.TypeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CleanupAllRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CleanupAllResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CleanupGraphRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CleanupGraphResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CloseSessionRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CloseSessionResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ClusterDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CompleteGroupRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CompleteGroupResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CreateSessionRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CreateSessionResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ExecutorOpts

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ExtendSessionRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ExtendSessionResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.GetStatusRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.GetStatusResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.JobDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.LabeledStepStats

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ListDevicesRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ListDevicesResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.LoggingRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.LoggingResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.MakeCallableRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.MakeCallableResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RecvBufRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RecvBufResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RecvTensorRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RecvTensorResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RegisterGraphRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RegisterGraphResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ResetRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ResetResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RunCallableRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RunCallableResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RunGraphRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RunGraphResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RunStepRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.RunStepResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.ServerDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.StepSequence

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.TraceOpts

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.TracingRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.distruntime.TracingResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.AllocationDescription

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.AllocationRecord

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.AllocatorMemoryUsed

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ApiDef.Arg

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ApiDef.Attr

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ApiDef.Endpoint

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ApiDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ApiDefs

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.AssetFileDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.AttrValue.ListValue

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.AttrValue

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.AutoParallelOptions

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CallableOptions

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CollectionDef.AnyList

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CollectionDef.BytesList

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CollectionDef.FloatList

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CollectionDef.Int64List

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CollectionDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CollectionDef.NodeList

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CondContextDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ConfigProto.Experimental

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ConfigProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ControlFlowContextDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CostGraphDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CostGraphDef.Node

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CriticalSectionDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.DebuggedSourceFile

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.DebuggedSourceFiles

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.DebugOptions

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.DebugTensorWatch

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.DeviceAttributes

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.DeviceLocality

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.DeviceStepStats

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.FunctionDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.FunctionDefLibrary

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GPUOptions.Experimental

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GPUOptions

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GradientDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphOptions

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphTransferInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphTransferNodeInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphTransferNodeInput

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.HistogramProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.InterconnectLink

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.KernelDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.LocalLinks

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.MemoryLogRawAllocation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.MemoryLogStep

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.MemoryLogTensorOutput

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.MemoryStats

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.MetaGraphDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.NameAttrList

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.NamedTensorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.NodeDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.NodeExecStats

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.NodeOutput

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.OpDef.ArgDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.OpDef.AttrDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.OpDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.OpDeprecation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.OpList

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.OptimizerOptions

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.QueueRunnerDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ReaderBaseState

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ResourceHandleProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.RewriterConfig

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.RPCOptions

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.RunMetadata

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.RunOptions.Experimental

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.RunOptions

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.SavedModel

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.SaveSliceInfoDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ScopedAllocatorOptions

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.SignatureDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.StepStats

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.Summary.Audio

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.Summary.Image

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.Summary

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.Summary.Value

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.SummaryDescription

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.SummaryMetadata

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.TensorConnection

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.TensorDescription

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.TensorInfo.CooSparse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.TensorInfo

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.TensorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.TensorShapeProto.Dim

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.TensorShapeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.TensorSliceProto.Extent

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.TensorSliceProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ThreadPoolOptionProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.ValuesDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.VariableDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.VariantTensorDataProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.VersionDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.framework.WhileContextDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.util.BundleEntryProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.util.BundleHeaderProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.util.IteratorStateMetadata

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.util.SaverDef

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class tensorflow.TransportOptions.RecvBufRespExtra

newMapper(TensorProto) - Static method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers

newShape(long[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

newShapeNoCopy(INDArray, int[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

newShapeNoCopy(INDArray, long[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

A port of numpy's reshaping algorithm that leverages no copy where possible and returns null if the reshape couldn't happen without copying

newStatsBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy

Create a new NormalizerStats.Builder instance that can be used to fit new data and of the opType that belongs to the current NormalizerStrategy implementation

newStatsBuilder() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.NormalizerStrategy

Create a new NormalizerStats.Builder instance that can be used to fit new data and of the opType that belongs to the current NormalizerStrategy implementation

newStatsBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy

Create a new NormalizerStats.Builder instance that can be used to fit new data and of the opType that belongs to the current NormalizerStrategy implementation

newStrides(int[], int, INDArrayIndex[]) - Static method in class org.nd4j.linalg.api.shape.Shape

newTMap() - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

newTMap() - Method in class org.nd4j.autodiff.samediff.internal.DependencyTracker

newTMap() - Method in class org.nd4j.autodiff.samediff.internal.IdentityDependencyTracker

newTMap() - Method in class org.nd4j.autodiff.samediff.internal.memory.HashDependencyTracker

newTSet() - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

newTSet() - Method in class org.nd4j.autodiff.samediff.internal.DependencyTracker

newTSet() - Method in class org.nd4j.autodiff.samediff.internal.IdentityDependencyTracker

newTSet() - Method in class org.nd4j.autodiff.samediff.internal.memory.HashDependencyTracker

next() - Method in class org.nd4j.linalg.api.iter.FirstAxisIterator

next() - Method in class org.nd4j.linalg.api.iter.FlatIterator

next() - Method in class org.nd4j.linalg.api.iter.INDArrayIterator

next() - Method in class org.nd4j.linalg.api.iter.NdIndexIterator

next() - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

next() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

next() - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

next() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

next() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

next() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

next() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

Returns the next data applyTransformToDestination

next() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

next() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

Returns the next element in the iteration.

next() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

next() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

next() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

next() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Returns the next element in the iteration.

next() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

Returns the next element in the iteration.

next() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

next() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

next() - Method in class org.nd4j.linalg.dataset.ViewIterator

next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SingleGenerator

next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSingleGenerator

next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSpecifiedIndexesGenerator

next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SpecifiedIndexesGenerator

next(int) - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

next(int) - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

next(int) - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

next(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.BlockDataSetIterator

This method tries to fetch specified number of DataSets and returns them

next(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.BlockMultiDataSetIterator

This method tries to fetch specified number of DataSets and returns them

next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

next(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Like the standard next method but allows a customizable number of examples returned

next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

next(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator

Fetch the next 'num' examples.

next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

Like the standard next method but allows a customizable number of examples returned

next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

next(int) - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Like the standard next method but allows a customizable number of examples returned

next(int) - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

Like the standard next method but allows a customizable number of examples returned

next(int) - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

next(int) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

next(int) - Method in class org.nd4j.linalg.dataset.ViewIterator

NEXT_STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.StepSequence

nextBoolean() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextBoolean() - Method in interface org.nd4j.linalg.api.rng.Random

Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.

nextBytes(byte[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextBytes(byte[]) - Method in interface org.nd4j.linalg.api.rng.Random

Generates random bytes and places them into a user-supplied byte array.

nextDouble() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextDouble() - Method in interface org.nd4j.linalg.api.rng.Random

Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.

nextDouble(char, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextDouble(char, int[]) - Method in interface org.nd4j.linalg.api.rng.Random

Generate a uniform number ndarray of the specified shape and order

nextDouble(char, long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextDouble(char, long[]) - Method in interface org.nd4j.linalg.api.rng.Random

nextDouble(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextDouble(int[]) - Method in interface org.nd4j.linalg.api.rng.Random

Generate a uniform number ndarray of the specified shape

nextDouble(long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextDouble(long[]) - Method in interface org.nd4j.linalg.api.rng.Random

nextElement - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

nextElement - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

nextFloat() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextFloat() - Method in interface org.nd4j.linalg.api.rng.Random

Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.

nextFloat(char, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextFloat(char, int[]) - Method in interface org.nd4j.linalg.api.rng.Random

Generate a uniform number ndarray of the specified shape

nextFloat(char, long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextFloat(char, long[]) - Method in interface org.nd4j.linalg.api.rng.Random

nextFloat(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextFloat(int[]) - Method in interface org.nd4j.linalg.api.rng.Random

Generate a uniform number ndarray of the specified shape

nextFloat(long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextFloat(long[]) - Method in interface org.nd4j.linalg.api.rng.Random

nextFold() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

nextFor() - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator

Returns next DataSet for attached consumer

nextFor() - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator

Returns next DataSet for attached consumer

nextFor(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator

Returns next DataSet for given consumer

nextFor(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator

Returns next DataSet for given consumer

nextGaussian() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextGaussian() - Method in interface org.nd4j.linalg.api.rng.Random

Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.

nextGaussian(char, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextGaussian(char, int[]) - Method in interface org.nd4j.linalg.api.rng.Random

Generate a gaussian number ndarray of the specified shape and order

nextGaussian(char, long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextGaussian(char, long[]) - Method in interface org.nd4j.linalg.api.rng.Random

nextGaussian(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextGaussian(int[]) - Method in interface org.nd4j.linalg.api.rng.Random

Generate a gaussian number ndarray of the specified shape

nextGaussian(long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextGaussian(long[]) - Method in interface org.nd4j.linalg.api.rng.Random

nextInt() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextInt() - Method in interface org.nd4j.linalg.api.rng.Random

Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.

nextInt(int) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextInt(int) - Method in interface org.nd4j.linalg.api.rng.Random

Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.

nextInt(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextInt(int[]) - Method in interface org.nd4j.linalg.api.rng.Random

Generate a random set of integers of the specified shape.

nextInt(int, int) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextInt(int, int) - Method in interface org.nd4j.linalg.api.rng.Random

Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.

nextInt(int, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextInt(int, int[]) - Method in interface org.nd4j.linalg.api.rng.Random

Generate a random set of integers of the specified shape.

nextInt(int, long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextInt(int, long[]) - Method in interface org.nd4j.linalg.api.rng.Random

nextInt(long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextInt(long[]) - Method in interface org.nd4j.linalg.api.rng.Random

NextIteration - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat

NextIteration(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration

nextLong() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nextLong() - Method in interface org.nd4j.linalg.api.rng.Random

Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.

nextValue() - Method in class org.nd4j.linalg.api.memory.deallocation.DeallocatorService

NHWC - org.nd4j.enums.DataFormat

NHWC - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

NHWC - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv2DConfig

NHWCtoNCHW - org.nd4j.linalg.dataset.api.preprocessor.PermuteDataSetPreProcessor.PermutationTypes

nn - Variable in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for general neural network operations

nn - Static variable in class org.nd4j.linalg.factory.Nd4j

Neural network namespace - operations related to neural networks

nn() - Method in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for general neural network operations

nn() - Static method in class org.nd4j.linalg.factory.Nd4j

Neural network namespace - operations related to neural networks

NO_MEM_OPT - org.tensorflow.framework.RewriterConfig.MemOptType

Disabled in the meta-optimizer.

NO_MEM_OPT_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.MemOptType

Disabled in the meta-optimizer.

NO_TRACE - org.tensorflow.framework.RunOptions.TraceLevel

NO_TRACE = 0;

NO_TRACE_VALUE - Static variable in enum org.tensorflow.framework.RunOptions.TraceLevel

NO_TRACE = 0;

NoAvailableBackendException(String) - Constructor for exception org.nd4j.linalg.factory.Nd4jBackend.NoAvailableBackendException

NoAvailableBackendException(Throwable) - Constructor for exception org.nd4j.linalg.factory.Nd4jBackend.NoAvailableBackendException

Constructs a new exception with the specified cause and a detail message of (cause==null ? null : cause.toString()) (which typically contains the class and detail message of cause).

NODE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDef

NODE_FIELD_NUMBER - Static variable in class onnx.Onnx.FunctionProto

NODE_FIELD_NUMBER - Static variable in class onnx.Onnx.GraphProto

NODE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.FunctionProto

NODE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.GraphProto

NODE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef

NODE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphDef

NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferConstNodeInfo

NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInfo

NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInput

NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInputInfo

NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeOutputInfo

NODE_ID_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo

NODE_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInputInfo

NODE_INPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo

NODE_LIST - org.tensorflow.framework.CollectionDef.KindCase

NODE_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef

NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebugTensorWatch

NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value

NODE_OUTPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo

NODE_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceStepStats

NodeDef - Class in org.tensorflow.framework

Protobuf type tensorflow.NodeDef

NodeDef.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.NodeDef

NodeDefOrBuilder - Interface in org.tensorflow.framework

NodeDescriptor() - Constructor for class org.nd4j.autodiff.execution.input.Operands.NodeDescriptor

NodeExecStats - Class in org.tensorflow.framework

Time/size stats recorded for a single execution of a graph node.

NodeExecStats.Builder - Class in org.tensorflow.framework

Time/size stats recorded for a single execution of a graph node.

NodeExecStatsOrBuilder - Interface in org.tensorflow.framework

NodeOutput - Class in org.tensorflow.framework

Output sizes recorded for a single execution of a graph node.

NodeOutput.Builder - Class in org.tensorflow.framework

Output sizes recorded for a single execution of a graph node.

NodeOutputOrBuilder - Interface in org.tensorflow.framework

NodeProto - Class in org.tensorflow.framework

nodes(int) - Method in class org.nd4j.graph.FlatGraph

nodes(FlatNode, int) - Method in class org.nd4j.graph.FlatGraph

NODES_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

nodesLength() - Method in class org.nd4j.graph.FlatGraph

nodeState() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

nodeState() - Method in interface org.nd4j.linalg.api.rng.Random

nodesVector() - Method in class org.nd4j.graph.FlatGraph

nodesVector(FlatNode.Vector) - Method in class org.nd4j.graph.FlatGraph

nodeValueOutputs - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession

noGcWindow - Variable in class org.nd4j.linalg.api.memory.BasicMemoryManager

NON_EWS_ACCESS - org.nd4j.linalg.profiler.OpProfiler.PenaltyCause

none() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

none() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks if any of the elements within this array are non-zero (or true, in case of boolean)

NONE - org.nd4j.autodiff.loss.LossReduce

No reduction.

NONE - org.nd4j.autodiff.validation.TestCase.TestSerialization

NONE - org.nd4j.graph.ui.LogFileWriter.EventSubtype

NONE - org.nd4j.linalg.api.memory.enums.LearningPolicy

This policy means - no learning is assumed, WorkspaceConfiguration.initialSize value will be primary determinant for workspace size

NONE - org.nd4j.linalg.profiler.OpProfiler.PenaltyCause

NONE - Static variable in class org.nd4j.graph.LossReduce

NONE - Static variable in class org.nd4j.graph.ProfilingMode

NONE - Static variable in class org.nd4j.graph.UIEventSubtype

nonMaxSuppression(String, SDVariable, SDVariable, int, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Greedily selects a subset of bounding boxes in descending order of score

nonMaxSuppression(SDVariable, SDVariable, int, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Greedily selects a subset of bounding boxes in descending order of score

nonMaxSuppression(INDArray, INDArray, int, double, double) - Method in class org.nd4j.linalg.factory.ops.NDImage

Greedily selects a subset of bounding boxes in descending order of score

NonMaxSuppression - Class in org.nd4j.linalg.api.ops.impl.image

NonMaxSuppression() - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

NonMaxSuppression(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

NonMaxSuppression(SameDiff, SDVariable, SDVariable, int, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

NonMaxSuppression(INDArray, INDArray, int, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

NonMaxSuppressionV3 - Class in org.nd4j.linalg.api.ops.impl.image

NonMaxSuppressionV3() - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3

NonMaxSuppressionV3(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3

NonMaxSuppressionWithOverlaps - Class in org.nd4j.linalg.api.ops.impl.image

NonMaxSuppressionWithOverlaps() - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

NonMaxSuppressionWithOverlaps(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

NonMaxSuppressionWithOverlaps(SameDiff, SDVariable, SDVariable, int, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

NonMaxSuppressionWithOverlaps(INDArray, INDArray, int, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

noOp() - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

noOp() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

noOp() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

noOp() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

noOp() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

noOp() - Method in interface org.nd4j.linalg.api.ops.ReduceOp

Returns the no op version of the input Basically when a reduce can't happen (eg: sum(0) on a row vector) you have a no op state for a given reduction.

NoOp - Class in org.nd4j.linalg.api.ops

NoOp - Class in org.nd4j.linalg.learning.config

NoOp() - Constructor for class org.nd4j.linalg.api.ops.NoOp

NoOp() - Constructor for class org.nd4j.linalg.learning.config.NoOp

NoOp(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.NoOp

NoOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.NoOp

NOOP - org.nd4j.linalg.compression.CompressionAlgorithm

NoOpMemoryMgr - Class in org.nd4j.autodiff.samediff.internal.memory

NoOpMemoryMgr() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.NoOpMemoryMgr

NoOpNameFoundException - Exception in org.nd4j.imports

NoOpNameFoundException() - Constructor for exception org.nd4j.imports.NoOpNameFoundException

NoOpNameFoundException(String) - Constructor for exception org.nd4j.imports.NoOpNameFoundException

NoOpUpdater - Class in org.nd4j.linalg.learning

NoOpUpdater(NoOp) - Constructor for class org.nd4j.linalg.learning.NoOpUpdater

NOP - org.tensorflow.framework.GraphTransferInfo.Destination

NOP = 0;

NOP_VALUE - Static variable in enum org.tensorflow.framework.GraphTransferInfo.Destination

NOP = 0;

norm1(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.norm1(String, boolean, int...)

norm1(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

norm1(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the norm1 (L1 norm, i.e., sum of absolute values; also known as Taxicab or Manhattan norm) along the specified dimension

norm1(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.norm1(String, boolean, int...)

norm1(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

norm1(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the norm1 (L1 norm, i.e., sum of absolute values; also known as Taxicab or Manhattan norm) along the specified dimension

norm1(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Norm1 (L1 norm) reduction operation: The output contains the L1 norm for each tensor/subset along the specified dimensions:
out = sum_i abs(x[i])
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

norm1(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.norm1(String, boolean, int...)

norm1(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Norm1 (L1 norm) reduction operation: The output contains the L1 norm for each tensor/subset along the specified dimensions:
out = sum_i abs(x[i])
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm1(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

norm1(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Norm1 (L1 norm) reduction operation: The output contains the L1 norm for each tensor/subset along the specified dimensions:
out = sum_i abs(x[i])
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm1(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

norm1(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of absolute differences.

norm1(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of absolute differences.

norm1(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Norm1 (L1 norm) reduction operation: The output contains the L1 norm for each tensor/subset along the specified dimensions:
out = sum_i abs(x[i])
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm1(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

norm1(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Norm1 (L1 norm) reduction operation: The output contains the L1 norm for each tensor/subset along the specified dimensions:
out = sum_i abs(x[i])
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm1(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

norm1(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of absolute differences.

norm1(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of absolute differences.

norm1(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.norm1(int...) with Integer.MAX_VALUE for full array reduction.

norm1(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Norm1 (L1 norm) reduction operation: The output contains the L1 norm for each tensor/subset along the specified dimensions:
out = sum_i abs(x[i])
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm1(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

norm1(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.norm1(int...) with Integer.MAX_VALUE for full array reduction.

norm1(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Norm1 (L1 norm) reduction operation: The output contains the L1 norm for each tensor/subset along the specified dimensions:
out = sum_i abs(x[i])
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm1(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

norm1(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of absolute differences.

norm1(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of absolute differences.

Norm1 - Class in org.nd4j.linalg.api.ops.impl.reduce.floating

Sum of absolute values

Norm1() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

Norm1Bp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

Norm1Bp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm1Bp

Norm1Bp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm1Bp

Norm1Bp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm1Bp

Norm1Bp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm1Bp

Norm1Bp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm1Bp

Norm1Bp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm1Bp

Norm1Bp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm1Bp

Norm1Bp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm1Bp

norm1Number() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

norm1Number() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Calculate and return norm1 (L1 norm, i.e., sum of absolute values; also known as Taxicab or Manhattan norm) for the entire array

norm2(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.norm2(String, boolean, int...)

norm2(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

norm2(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the norm2 (L2 norm, sqrt(sum(x_i^2), also known as Euclidean norm) along the specified dimension(s)

norm2(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.norm2(String, boolean, int...)

norm2(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

norm2(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the norm2 (L2 norm, sqrt(sum(x_i^2), also known as Euclidean norm) along the specified dimension(s)

norm2(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Norm2 (L2 norm) reduction operation: The output contains the L2 norm for each tensor/subset along the specified dimensions:
out = sqrt(sum_i x[i]^2)
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

norm2(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.norm2(String, boolean, int...)

norm2(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Norm2 (L2 norm) reduction operation: The output contains the L2 norm for each tensor/subset along the specified dimensions:
out = sqrt(sum_i x[i]^2)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm2(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Norm2 (L2 norm) reduction operation: The output contains the L2 norm for each tensor/subset along the specified dimensions:
out = sqrt(sum_i x[i]^2)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm2(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Norm2 (L2 norm) reduction operation: The output contains the L2 norm for each tensor/subset along the specified dimensions:
out = sqrt(sum_i x[i]^2)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm2(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Norm2 (L2 norm) reduction operation: The output contains the L2 norm for each tensor/subset along the specified dimensions:
out = sqrt(sum_i x[i]^2)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm2(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.norm2(int...) with Integer.MAX_VALUE for full array reduction.

norm2(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Norm2 (L2 norm) reduction operation: The output contains the L2 norm for each tensor/subset along the specified dimensions:
out = sqrt(sum_i x[i]^2)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm2(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.norm2(int...) with Integer.MAX_VALUE for full array reduction.

norm2(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Norm2 (L2 norm) reduction operation: The output contains the L2 norm for each tensor/subset along the specified dimensions:
out = sqrt(sum_i x[i]^2)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

norm2(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Euclidean norm: euclidean distance of a vector from the origin

norm2(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Euclidean norm: euclidean distance of a vector from the origin

Norm2 - Class in org.nd4j.linalg.api.ops.impl.reduce.floating

Norm2() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

Norm2Bp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

Norm2Bp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp

Norm2Bp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp

Norm2Bp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp

Norm2Bp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp

Norm2Bp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp

Norm2Bp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp

Norm2Bp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp

Norm2Bp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp

norm2Number() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

norm2Number() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Return the norm2 (L2 norm, sqrt(sum(x_i^2), also known as Euclidean norm) for the entire array

normal(double, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Gaussian (normal) distribution,
N(mean, stdev)

normal(double, double, DataType, long...) - Method in class org.nd4j.linalg.factory.ops.NDRandom

Generate a new random INDArray, where values are randomly sampled according to a Gaussian (normal) distribution,
N(mean, stdev)

normal(String, double, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Gaussian (normal) distribution,
N(mean, stdev)

NORMAL - org.nd4j.weightinit.WeightInit

NormalDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl

NormalDistribution() - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Create a normal distribution with mean equal to zero and standard deviation equal to one.

NormalDistribution(double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Create a normal distribution using the given mean and standard deviation.

NormalDistribution(double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.

NormalDistribution(double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

NormalDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

NormalDistribution(Random, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

NormalDistribution(Random, double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Creates a normal distribution.

NormalDistribution(Random, double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

normalize() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Normalize this DataSet to mean 0, stdev 1 per input.

normalize() - Method in class org.nd4j.linalg.dataset.DataSet

normalizeAxis(int, int...) - Static method in class org.nd4j.linalg.api.shape.Shape

normalizeMatrix(INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil

normalizeMoments(String[], SDVariable, SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Calculate the mean and variance from the sufficient statistics

normalizeMoments(SDVariable, SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Calculate the mean and variance from the sufficient statistics

normalizeMoments(INDArray, INDArray, INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Calculate the mean and variance from the sufficient statistics

NormalizeMoments - Class in org.nd4j.linalg.api.ops.impl.reduce

NormalizeMoments(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.NormalizeMoments

NormalizeMoments(SameDiff, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.NormalizeMoments

NormalizeMoments(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.NormalizeMoments

NormalizeMoments(INDArray, INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.NormalizeMoments

Normalizer<T> - Interface in org.nd4j.linalg.dataset.api.preprocessor

NormalizerMinMaxScaler - Class in org.nd4j.linalg.dataset.api.preprocessor

NormalizerMinMaxScaler() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

NormalizerMinMaxScaler(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

Preprocessor can take a range as minRange and maxRange

NormalizerSerializer - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer

NormalizerSerializer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer

NormalizerSerializerStrategy<T extends Normalizer> - Interface in org.nd4j.linalg.dataset.api.preprocessor.serializer

NormalizerStandardize - Class in org.nd4j.linalg.dataset.api.preprocessor

NormalizerStandardize() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

NormalizerStandardize(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

NormalizerStandardize(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

NormalizerStats - Interface in org.nd4j.linalg.dataset.api.preprocessor.stats

NormalizerStats.Builder<S extends NormalizerStats> - Interface in org.nd4j.linalg.dataset.api.preprocessor.stats

NormalizerStrategy<S extends NormalizerStats> - Interface in org.nd4j.linalg.dataset.api.preprocessor

NormalizerType - Enum in org.nd4j.linalg.dataset.api.preprocessor.serializer

Enum representing the opType of a normalizer for serialization purposes

normalizeZeroMeanAndUnitVariance(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Normalize data to zero mean and unit variance substract by the mean and divide by the standard deviation

normalizeZeroMeanZeroUnitVariance() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Deprecated.

Use NormalizerStandardize

normalizeZeroMeanZeroUnitVariance() - Method in class org.nd4j.linalg.dataset.DataSet

Deprecated.

normalTruncated(double, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Gaussian (normal) distribution,
N(mean, stdev).

normalTruncated(double, double, DataType, long...) - Method in class org.nd4j.linalg.factory.ops.NDRandom

Generate a new random INDArray, where values are randomly sampled according to a Gaussian (normal) distribution,
N(mean, stdev).

normalTruncated(String, double, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a Gaussian (normal) distribution,
N(mean, stdev).

normmax(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.normmax(String, boolean, int...)

normmax(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

normmax(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the max norm (aka infinity norm, equal to the maximum absolute value) along the specified dimension(s)

normmax(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.normmax(String, boolean, int...)

normmax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

normmax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the max norm (aka infinity norm, equal to the maximum absolute value) along the specified dimension(s)

normmax(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Max norm (infinity norm) reduction operation: The output contains the max norm for each tensor/subset along the specified dimensions:
out = max(abs(x[i]))
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

normmax(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.normmax(String, boolean, int...)

normmax(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Max norm (infinity norm) reduction operation: The output contains the max norm for each tensor/subset along the
specified dimensions:
out = max(abs(x[i]))
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

normmax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Max norm (infinity norm) reduction operation: The output contains the max norm for each tensor/subset along the
specified dimensions:
out = max(abs(x[i]))
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

normmax(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Max norm (infinity norm) reduction operation: The output contains the max norm for each tensor/subset along the
specified dimensions:
out = max(abs(x[i]))
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

normmax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Max norm (infinity norm) reduction operation: The output contains the max norm for each tensor/subset along the
specified dimensions:
out = max(abs(x[i]))
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

normmax(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.normmax(int...) with Integer.MAX_VALUE for full array reduction.

normmax(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Max norm (infinity norm) reduction operation: The output contains the max norm for each tensor/subset along the
specified dimensions:
out = max(abs(x[i]))
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

normmax(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.normmax(int...) with Integer.MAX_VALUE for full array reduction.

normmax(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Max norm (infinity norm) reduction operation: The output contains the max norm for each tensor/subset along the
specified dimensions:
out = max(abs(x[i]))
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

normMax(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Differences between max absolute value

normMax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Differences between max absolute value

normMax(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Differences between max absolute value

normMax(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Differences between max absolute value

normMax(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Differences between max absolute value

normMax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Differences between max absolute value

normMax(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Differences between max absolute value

normMax(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Differences between max absolute value

normMax(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Differences between max absolute value

normMax(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Differences between max absolute value

normMax(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Differences between max absolute value

normMax(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Differences between max absolute value

NormMax - Class in org.nd4j.linalg.api.ops.impl.reduce.floating

The max absolute value

NormMax() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMax(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

NormMaxBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

NormMaxBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.NormMaxBp

NormMaxBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.NormMaxBp

NormMaxBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.NormMaxBp

NormMaxBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.NormMaxBp

NormMaxBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.NormMaxBp

NormMaxBp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.NormMaxBp

NormMaxBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.NormMaxBp

NormMaxBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.NormMaxBp

normmaxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

normmaxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Return the max norm (aka infinity norm, equal to the maximum absolute value) for the entire array

not() - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder

not(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Not - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool

Not - Class in org.nd4j.linalg.indexing.conditions

Not() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Not

Not(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Not

Not(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Not

Not(Condition) - Constructor for class org.nd4j.linalg.indexing.conditions.Not

NOT_EQUALS - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

NOT_FINITE - org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

NOT_FOUND - org.tensorflow.framework.Code

Some requested entity (e.g., file or directory) was not found.

NOT_FOUND_VALUE - Static variable in enum org.tensorflow.framework.Code

Some requested entity (e.g., file or directory) was not found.

notEquals() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is two values are not equal PLEASE NOTE: This condition should be used only with pairwise methods, i.e.

notEquals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is two values are not equal

NotEqualsCondition - Class in org.nd4j.linalg.indexing.conditions

NotEqualsCondition(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.NotEqualsCondition

NotEqualTo - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

NotEqualTo() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

NotEqualTo(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

NotEqualTo(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

NotEqualTo(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

NotEqualTo(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

NotEqualTo(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

notFinite() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

This method will create Condition that checks if value is NOT finite

NotFinite - Class in org.nd4j.linalg.indexing.conditions

NotFinite() - Constructor for class org.nd4j.linalg.indexing.conditions.NotFinite

notifyScopeBorrowed() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method TEMPORARY enters this workspace, without reset applied

notifyScopeBorrowed() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method TEMPORARY enters this workspace, without reset applied

notifyScopeBorrowed() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method TEMPORARY enters this workspace, without reset applied

notifyScopeBorrowed(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

notifyScopeBorrowed(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Borrow the scope for the specified array type

notifyScopeEntered() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method notifies given Workspace that new use cycle is starting now

notifyScopeEntered() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

notifyScopeEntered() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

notifyScopeEntered() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

PLEASE NOTE: This method is under development yet.

notifyScopeEntered() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method notifies given Workspace that new use cycle is starting now

notifyScopeEntered(T...) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

notifyScopeEntered(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

notifyScopeEntered(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

notifyScopeEntered(T...) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Open/enter multiple workspaces.

notifyScopeLeft() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method notifies given Workspace that use cycle just ended

notifyScopeLeft() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method is shortcut to close() method

notifyScopeLeft() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

notifyScopeLeft() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

PLEASE NOTE: This method is under development yet.

notifyScopeLeft() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method notifies given Workspace that use cycle just ended

nrm2(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes the Euclidean norm of a vector.

nrm2(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes the Euclidean norm of a vector.

nrm2(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

nrm2(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute || x ||_2 (2-norm)

NST - org.nd4j.enums.LSTMDataFormat

NST - org.nd4j.enums.RnnDataFormat

NST - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDataFormat

NST - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.RnnDataFormat

NthElement - Class in org.nd4j.linalg.api.ops.impl.transforms

NthElement() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.NthElement

nTimes(INDArrayIndex, int) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Repeat a copy of copy n times

NTS - org.nd4j.enums.LSTMDataFormat

NTS - org.nd4j.enums.RnnDataFormat

NTS - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDataFormat

NTS - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.RnnDataFormat

NUM_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest

NUM_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufResponse

NUM_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation

NUM_CHANNELS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio

NUM_CORES_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

NUM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto

NUM_RECORDS_PRODUCED_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ReaderBaseState

NUM_REGISTERS_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

NUM_REPLICAS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AutoParallelOptions

NUM_SHARDS_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleHeaderProto

NUM_TASKS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupResponse

NUM_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ThreadPoolOptionProto

NUMA_NODE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceLocality

numActiveEntries() - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray

This method returns number of activated entries

numBArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

numBArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

numBArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

numBArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

numBArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

NUMBER_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef

numbins() - Method in class org.nd4j.graph.UIHistogram

numBits - Variable in class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

numBits - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

numBits - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

numClasses() - Method in class org.nd4j.evaluation.classification.Evaluation

numClasses() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

numColumns() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

numDArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

numDArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

numDArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

numDArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

numElements() - Method in class org.nd4j.autodiff.samediff.SameDiff

Count the number of elements in all arrays, according to SDVariable.getShape()

numEntries() - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray

This method returns total number of entries within this DistributedINDArray instance

NUMERIC - Static variable in class org.nd4j.graph.InputType

NUMERIC_SET - Static variable in class org.nd4j.graph.InputType

numExamples - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

numExamples() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Number of examples in the DataSet

numExamples() - Method in class org.nd4j.linalg.dataset.DataSet

numFeatureArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Number of arrays of features/input data in the MultiDataSet

numFeatureArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet

numIArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

numIArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

numIArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

numIArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

numIArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

numInputArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

numInputArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

numInputArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

numInputArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

numInputs - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

numInputs() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Number of input values - i.e., size of the features INDArray per example

numInputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Get the number of inputs

numInputs() - Method in class org.nd4j.linalg.dataset.DataSet

The number of inputs in the feature matrix

numIter - Variable in class org.nd4j.linalg.schedule.RampSchedule

numIterations - Variable in class org.nd4j.linalg.learning.AdaGradUpdater

numIterations - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad

numLabels() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Returns the number of labels - (i.e., size of the prediction/labels arrays) - if known.

numLabels() - Method in class org.nd4j.evaluation.classification.ROCBinary

Returns the number of labels - (i.e., size of the prediction/labels arrays) - if known.

numLabelsArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Number of arrays of label/output data in the MultiDataSet

numLabelsArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet

numLosses() - Method in class org.nd4j.autodiff.listeners.Loss

numNewAxis(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Given an array of indexes return the number of new axis elements in teh array

numOutcomes - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

numOutcomes() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Returns the number of outcomes (size of the labels array for each example)

numOutcomes() - Method in class org.nd4j.linalg.dataset.DataSet

numOutputArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

numOutputArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

numOutputArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

numOutputArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assert

numOutputArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.CheckNumerics

numOutputArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

numOutputArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique

numOutputArguments() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts

numOutputArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

numOutputs - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

numOutputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Get the number of outputs

numParams(int) - Method in class org.nd4j.linalg.activations.BaseActivationFunction

numParams(int) - Method in interface org.nd4j.linalg.activations.IActivation

numPoints() - Method in class org.nd4j.evaluation.curves.BaseCurve

numPoints() - Method in class org.nd4j.evaluation.curves.BaseHistogram

numPoints() - Method in class org.nd4j.evaluation.curves.Histogram

numPoints() - Method in class org.nd4j.evaluation.curves.PrecisionRecallCurve

numPoints() - Method in class org.nd4j.evaluation.curves.ReliabilityDiagram

numPoints() - Method in class org.nd4j.evaluation.curves.RocCurve

numPoints(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Number of point indexes

numResults() - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

numRowCounter - Variable in class org.nd4j.evaluation.classification.Evaluation

numSArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

numSArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

numSArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

numSegments - Variable in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

numTArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

numTArguments() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

numTArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

numTArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

numTArguments() - Method in interface org.nd4j.linalg.api.ops.OpContext

numVectors(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath

Return the number of vectors for an array the number of vectors for an array

NWC - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig

O

O - org.nd4j.autodiff.listeners.profiler.data.Phase

OBSOLETE_OLD_STYLE_HISTOGRAM - org.tensorflow.framework.Summary.Value.ValueCase

OBSOLETE_OLD_STYLE_HISTOGRAM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value

OFF - org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

OFF = -1;

OFF - org.tensorflow.framework.RewriterConfig.Toggle

OFF = 2;

OFF_VALUE - Static variable in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

OFF = -1;

OFF_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.Toggle

OFF = 2;

offset - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

offset() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

offset() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns the offset of the buffer

offset() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

offset() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the start of where the ndarray is for the underlying data

offset() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

The start of this index

offset() - Method in class org.nd4j.linalg.indexing.IntervalIndex

offset() - Method in class org.nd4j.linalg.indexing.NDArrayIndex

offset() - Method in class org.nd4j.linalg.indexing.NewAxis

offset() - Method in class org.nd4j.linalg.indexing.PointIndex

offset() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

offset(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Deprecated.

offset(int[], long[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

offset(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Deprecated.

offset(long[], long[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Compute the offset given an array of offsets.

offset(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Deprecated.

offset(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Deprecated.

offset(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Deprecated.

offset(INDArray, long...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Compute the offset given an array of offsets.

offset(INDArray, INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Compute the offset given an array of offsets.

OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto

offsetForSlice(INDArray, int) - Static method in class org.nd4j.linalg.util.NDArrayMath

Compute the offset for a given slice

offsets(long[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices

The offsets (begin index) for each index

OIYX - org.nd4j.enums.WeightsFormat

OK - org.tensorflow.framework.Code

Not an error; returned on success

OK_VALUE - Static variable in enum org.tensorflow.framework.Code

Not an error; returned on success

OldConvolution - Class in org.nd4j.linalg.convolution

OMP_THREADS_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

OmpNumThreadsAction - Class in org.nd4j.linalg.env.impl

OmpNumThreadsAction() - Constructor for class org.nd4j.linalg.env.impl.OmpNumThreadsAction

ON - org.tensorflow.framework.RewriterConfig.Toggle

ON = 1;

ON_1 - org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

The following settings turn on compilation, with higher values being more aggressive.

ON_1_VALUE - Static variable in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

The following settings turn on compilation, with higher values being more aggressive.

ON_2 - org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

ON_2 = 2;

ON_2_VALUE - Static variable in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

ON_2 = 2;

ON_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.Toggle

ON = 1;

one(String, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.one(String, DataType, int...).

one(String, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.one(String, DataType, long...).

one(String, DataType, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new variable with the specified shape, with all values initialized to 1.0.

one(String, DataType, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new variable with the specified shape, with all values initialized to 1.0.

ONE - org.tensorflow.framework.RewriterConfig.NumIterationsType

ONE = 1;

ONE_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

ONE = 1;

oneHot(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Convert the array to a one-hot array with values 0 and 1 for each entry
If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth],
with out[i, ..., j, in[i,...,j]] = 1 with other values being set to 0
see oneHot(SDVariable, int, int, double, double)

oneHot(String, SDVariable, int, int, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Convert the array to a one-hot array with values and for each entry
If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth],
with {out[i, ..., j, in[i,...,j]] with other values being set to

oneHot(String, SDVariable, int, int, double, double, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Convert the array to a one-hot array with values and for each entry
If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth],
with {out[i, ..., j, in[i,...,j]] with other values being set to

oneHot(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Convert the array to a one-hot array with values 0 and 1 for each entry
If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth],
with out[i, ..., j, in[i,...,j]] = 1 with other values being set to 0
see oneHot(SDVariable, int, int, double, double)

oneHot(SDVariable, int, int, double, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Convert the array to a one-hot array with values and for each entry
If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth],
with {out[i, ..., j, in[i,...,j]] with other values being set to

oneHot(SDVariable, int, int, double, double, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Convert the array to a one-hot array with values and for each entry
If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth],
with {out[i, ..., j, in[i,...,j]] with other values being set to

oneHot(INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Convert the array to a one-hot array with values 0 and 1 for each entry
If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth],
with out[i, ..., j, in[i,...,j]] = 1 with other values being set to 0
see oneHot(SDVariable, int, int, double, double)

oneHot(INDArray, int, int, double, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Convert the array to a one-hot array with values and for each entry
If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth],
with {out[i, ..., j, in[i,...,j]] with other values being set to

oneHot(INDArray, int, int, double, double, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

Convert the array to a one-hot array with values and for each entry
If input has shape [ a, ..., n] then output has shape [ a, ..., n, depth],
with {out[i, ..., j, in[i,...,j]] with other values being set to

OneHot - Class in org.nd4j.linalg.api.ops.impl.shape

OneHot() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OneHot

OneHot(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OneHot

OneHot(SameDiff, SDVariable, int, int, double, double, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OneHot

OneHot(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OneHot

OneHot(INDArray, int, int, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OneHot

OneHot(INDArray, int, int, double, double, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OneHot

OneHot(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OneHot

OneHot(INDArray, INDArray, int, int, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OneHot

OneInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to one.

OneInitScheme(char) - Constructor for class org.nd4j.weightinit.impl.OneInitScheme

OneMinus - Class in org.nd4j.linalg.api.ops.impl.transforms.same

1 - input

OneMinus() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.OneMinus

OneMinus(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.OneMinus

OneMinus(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.OneMinus

OneMinus(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.OneMinus

ones(@lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an ndarray of ones

ones(@lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.ones(int... shape)

ones(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create an ndarray of ones

ones(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create an ndarray of ones

ones(long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates a row vector with the specified number of columns

ones(long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates a row vector with the specified number of columns

ones(long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

ones(long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

ones(long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates a row vector with the specified number of columns

ones(long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates a row vector with the specified number of columns

ones(DataType, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an array with the specified datatype and shape, with values all set to 1

ONES - org.nd4j.weightinit.WeightInit

OnesAs - Class in org.nd4j.linalg.api.ops.impl.shape

OnesAs() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesAs

OnesAs(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesAs

OnesAs(INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesAs

OnesAs(String, SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesAs

OnesAs(String, SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesAs

OnesAs(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesAs

OnesAs(SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesAs

onesLike(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a variable of all 1s, with the same shape as the input variable.

onesLike(String, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

As per onesLike(String, SDVariable) but the output datatype may be specified

onesLike(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a variable of all 1s, with the same shape as the input variable.

onesLike(SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

As per onesLike(String, SDVariable) but the output datatype may be specified

onesLike(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Ones like

onesLike(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return a variable of all 1s, with the same shape as the input variable.

onesLike(INDArray, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

As per onesLike(String, SDVariable) but the output datatype may be specified

OnesLike - Class in org.nd4j.linalg.api.ops.impl.shape

OnesLike() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesLike

OnesLike(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesLike

OnesLike(INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesLike

OnesLike(String, SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesLike

OnesLike(String, SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesLike

OnesLike(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesLike

OnesLike(SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.OnesLike

onnx - package onnx

Onnx - Class in onnx

Onnx.AttributeProto - Class in onnx

Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.

Onnx.AttributeProto.AttributeType - Enum in onnx

Note: this enum is structurally identical to the OpSchema::AttrType enum defined in schema.h.

Onnx.AttributeProto.Builder - Class in onnx

Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.

Onnx.AttributeProtoOrBuilder - Interface in onnx

Onnx.FunctionProto - Class in onnx

Protobuf type onnx.FunctionProto

Onnx.FunctionProto.Builder - Class in onnx

Protobuf type onnx.FunctionProto

Onnx.FunctionProtoOrBuilder - Interface in onnx

Onnx.GraphProto - Class in onnx

Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.

Onnx.GraphProto.Builder - Class in onnx

Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.

Onnx.GraphProtoOrBuilder - Interface in onnx

Onnx.ModelProto - Class in onnx

Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.

Onnx.ModelProto.Builder - Class in onnx

Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.

Onnx.ModelProtoOrBuilder - Interface in onnx

Onnx.NodeProto - Class in onnx

Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Onnx.NodeProto.Builder - Class in onnx

Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Onnx.NodeProtoOrBuilder - Interface in onnx

Onnx.OperatorSetIdProto - Class in onnx

Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.

Onnx.OperatorSetIdProto.Builder - Class in onnx

Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.

Onnx.OperatorSetIdProtoOrBuilder - Interface in onnx

Onnx.OperatorStatus - Enum in onnx

Operator/function status.

Onnx.SparseTensorProto - Class in onnx

A serialized sparse-tensor value

Onnx.SparseTensorProto.Builder - Class in onnx

A serialized sparse-tensor value

Onnx.SparseTensorProtoOrBuilder - Interface in onnx

Onnx.StringStringEntryProto - Class in onnx

StringStringEntryProto follows the pattern for cross-proto-version maps.

Onnx.StringStringEntryProto.Builder - Class in onnx

StringStringEntryProto follows the pattern for cross-proto-version maps.

Onnx.StringStringEntryProtoOrBuilder - Interface in onnx

Onnx.TensorAnnotation - Class in onnx

Protobuf type onnx.TensorAnnotation

Onnx.TensorAnnotation.Builder - Class in onnx

Protobuf type onnx.TensorAnnotation

Onnx.TensorAnnotationOrBuilder - Interface in onnx

Onnx.TensorProto - Class in onnx

Tensors A serialized tensor value.

Onnx.TensorProto.Builder - Class in onnx

Tensors A serialized tensor value.

Onnx.TensorProto.DataLocation - Enum in onnx

Location of the data for this tensor.

Onnx.TensorProto.DataType - Enum in onnx

Protobuf enum onnx.TensorProto.DataType

Onnx.TensorProto.Segment - Class in onnx

For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.

Onnx.TensorProto.Segment.Builder - Class in onnx

For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.

Onnx.TensorProto.SegmentOrBuilder - Interface in onnx

Onnx.TensorProtoOrBuilder - Interface in onnx

Onnx.TensorShapeProto - Class in onnx

Defines a tensor shape.

Onnx.TensorShapeProto.Builder - Class in onnx

Defines a tensor shape.

Onnx.TensorShapeProto.Dimension - Class in onnx

Protobuf type onnx.TensorShapeProto.Dimension

Onnx.TensorShapeProto.Dimension.Builder - Class in onnx

Protobuf type onnx.TensorShapeProto.Dimension

Onnx.TensorShapeProto.Dimension.ValueCase - Enum in onnx

Onnx.TensorShapeProto.DimensionOrBuilder - Interface in onnx

Onnx.TensorShapeProtoOrBuilder - Interface in onnx

Onnx.TrainingInfoProto - Class in onnx

Training information TrainingInfoProto stores information for training a model.

Onnx.TrainingInfoProto.Builder - Class in onnx

Training information TrainingInfoProto stores information for training a model.

Onnx.TrainingInfoProtoOrBuilder - Interface in onnx

Onnx.TypeProto - Class in onnx

Types The standard ONNX data types.

Onnx.TypeProto.Builder - Class in onnx

Types The standard ONNX data types.

Onnx.TypeProto.Map - Class in onnx

map<K,V>

Onnx.TypeProto.Map.Builder - Class in onnx

map<K,V>

Onnx.TypeProto.MapOrBuilder - Interface in onnx

Onnx.TypeProto.Optional - Class in onnx

wrapper for Tensor, Sequence, or Map

Onnx.TypeProto.Optional.Builder - Class in onnx

wrapper for Tensor, Sequence, or Map

Onnx.TypeProto.OptionalOrBuilder - Interface in onnx

Onnx.TypeProto.Sequence - Class in onnx

repeated T

Onnx.TypeProto.Sequence.Builder - Class in onnx

repeated T

Onnx.TypeProto.SequenceOrBuilder - Interface in onnx

Onnx.TypeProto.SparseTensor - Class in onnx

Protobuf type onnx.TypeProto.SparseTensor

Onnx.TypeProto.SparseTensor.Builder - Class in onnx

Protobuf type onnx.TypeProto.SparseTensor

Onnx.TypeProto.SparseTensorOrBuilder - Interface in onnx

Onnx.TypeProto.Tensor - Class in onnx

Protobuf type onnx.TypeProto.Tensor

Onnx.TypeProto.Tensor.Builder - Class in onnx

Protobuf type onnx.TypeProto.Tensor

Onnx.TypeProto.TensorOrBuilder - Interface in onnx

Onnx.TypeProto.ValueCase - Enum in onnx

Onnx.TypeProtoOrBuilder - Interface in onnx

Onnx.ValueInfoProto - Class in onnx

Defines information on value, including the name, the type, and the shape of the value.

Onnx.ValueInfoProto.Builder - Class in onnx

Defines information on value, including the name, the type, and the shape of the value.

Onnx.ValueInfoProtoOrBuilder - Interface in onnx

Onnx.Version - Enum in onnx

Versioning ONNX versioning is specified in docs/IR.md and elaborated on in docs/Versioning.md To be compatible with both proto2 and proto3, we will use a version number that is not defined by the default value but an explicit enum number.

OnnxDescriptor - Class in org.nd4j.imports.descriptors.onnx

OnnxDescriptor() - Constructor for class org.nd4j.imports.descriptors.onnx.OnnxDescriptor

OnnxDescriptorParser - Class in org.nd4j.imports.descriptors.onnx

OnnxDescriptorParser() - Constructor for class org.nd4j.imports.descriptors.onnx.OnnxDescriptorParser

OnnxMl - Class in onnx

OnnxMl.AttributeProto - Class in onnx

Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.

OnnxMl.AttributeProto.AttributeType - Enum in onnx

Note: this enum is structurally identical to the OpSchema::AttrType enum defined in schema.h.

OnnxMl.AttributeProto.Builder - Class in onnx

Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.

OnnxMl.AttributeProtoOrBuilder - Interface in onnx

OnnxMl.FunctionProto - Class in onnx

Protobuf type onnx.FunctionProto

OnnxMl.FunctionProto.Builder - Class in onnx

Protobuf type onnx.FunctionProto

OnnxMl.FunctionProtoOrBuilder - Interface in onnx

OnnxMl.GraphProto - Class in onnx

Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.

OnnxMl.GraphProto.Builder - Class in onnx

Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.

OnnxMl.GraphProtoOrBuilder - Interface in onnx

OnnxMl.ModelProto - Class in onnx

Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.

OnnxMl.ModelProto.Builder - Class in onnx

Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.

OnnxMl.ModelProtoOrBuilder - Interface in onnx

OnnxMl.NodeProto - Class in onnx

Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

OnnxMl.NodeProto.Builder - Class in onnx

Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

OnnxMl.NodeProtoOrBuilder - Interface in onnx

OnnxMl.OperatorSetIdProto - Class in onnx

Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.

OnnxMl.OperatorSetIdProto.Builder - Class in onnx

Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.

OnnxMl.OperatorSetIdProtoOrBuilder - Interface in onnx

OnnxMl.OperatorStatus - Enum in onnx

Operator/function status.

OnnxMl.SparseTensorProto - Class in onnx

A serialized sparse-tensor value

OnnxMl.SparseTensorProto.Builder - Class in onnx

A serialized sparse-tensor value

OnnxMl.SparseTensorProtoOrBuilder - Interface in onnx

OnnxMl.StringStringEntryProto - Class in onnx

StringStringEntryProto follows the pattern for cross-proto-version maps.

OnnxMl.StringStringEntryProto.Builder - Class in onnx

StringStringEntryProto follows the pattern for cross-proto-version maps.

OnnxMl.StringStringEntryProtoOrBuilder - Interface in onnx

OnnxMl.TensorAnnotation - Class in onnx

Protobuf type onnx.TensorAnnotation

OnnxMl.TensorAnnotation.Builder - Class in onnx

Protobuf type onnx.TensorAnnotation

OnnxMl.TensorAnnotationOrBuilder - Interface in onnx

OnnxMl.TensorProto - Class in onnx

Tensors A serialized tensor value.

OnnxMl.TensorProto.Builder - Class in onnx

Tensors A serialized tensor value.

OnnxMl.TensorProto.DataLocation - Enum in onnx

Location of the data for this tensor.

OnnxMl.TensorProto.DataType - Enum in onnx

Protobuf enum onnx.TensorProto.DataType

OnnxMl.TensorProto.Segment - Class in onnx

For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.

OnnxMl.TensorProto.Segment.Builder - Class in onnx

For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.

OnnxMl.TensorProto.SegmentOrBuilder - Interface in onnx

OnnxMl.TensorProtoOrBuilder - Interface in onnx

OnnxMl.TensorShapeProto - Class in onnx

Defines a tensor shape.

OnnxMl.TensorShapeProto.Builder - Class in onnx

Defines a tensor shape.

OnnxMl.TensorShapeProto.Dimension - Class in onnx

Protobuf type onnx.TensorShapeProto.Dimension

OnnxMl.TensorShapeProto.Dimension.Builder - Class in onnx

Protobuf type onnx.TensorShapeProto.Dimension

OnnxMl.TensorShapeProto.Dimension.ValueCase - Enum in onnx

OnnxMl.TensorShapeProto.DimensionOrBuilder - Interface in onnx

OnnxMl.TensorShapeProtoOrBuilder - Interface in onnx

OnnxMl.TrainingInfoProto - Class in onnx

Training information TrainingInfoProto stores information for training a model.

OnnxMl.TrainingInfoProto.Builder - Class in onnx

Training information TrainingInfoProto stores information for training a model.

OnnxMl.TrainingInfoProtoOrBuilder - Interface in onnx

OnnxMl.TypeProto - Class in onnx

Types The standard ONNX data types.

OnnxMl.TypeProto.Builder - Class in onnx

Types The standard ONNX data types.

OnnxMl.TypeProto.Map - Class in onnx

map<K,V>

OnnxMl.TypeProto.Map.Builder - Class in onnx

map<K,V>

OnnxMl.TypeProto.MapOrBuilder - Interface in onnx

OnnxMl.TypeProto.Opaque - Class in onnx

Protobuf type onnx.TypeProto.Opaque

OnnxMl.TypeProto.Opaque.Builder - Class in onnx

Protobuf type onnx.TypeProto.Opaque

OnnxMl.TypeProto.OpaqueOrBuilder - Interface in onnx

OnnxMl.TypeProto.Optional - Class in onnx

wrapper for Tensor, Sequence, or Map

OnnxMl.TypeProto.Optional.Builder - Class in onnx

wrapper for Tensor, Sequence, or Map

OnnxMl.TypeProto.OptionalOrBuilder - Interface in onnx

OnnxMl.TypeProto.Sequence - Class in onnx

repeated T

OnnxMl.TypeProto.Sequence.Builder - Class in onnx

repeated T

OnnxMl.TypeProto.SequenceOrBuilder - Interface in onnx

OnnxMl.TypeProto.SparseTensor - Class in onnx

Protobuf type onnx.TypeProto.SparseTensor

OnnxMl.TypeProto.SparseTensor.Builder - Class in onnx

Protobuf type onnx.TypeProto.SparseTensor

OnnxMl.TypeProto.SparseTensorOrBuilder - Interface in onnx

OnnxMl.TypeProto.Tensor - Class in onnx

Protobuf type onnx.TypeProto.Tensor

OnnxMl.TypeProto.Tensor.Builder - Class in onnx

Protobuf type onnx.TypeProto.Tensor

OnnxMl.TypeProto.TensorOrBuilder - Interface in onnx

OnnxMl.TypeProto.ValueCase - Enum in onnx

OnnxMl.TypeProtoOrBuilder - Interface in onnx

OnnxMl.ValueInfoProto - Class in onnx

Defines information on value, including the name, the type, and the shape of the value.

OnnxMl.ValueInfoProto.Builder - Class in onnx

Defines information on value, including the name, the type, and the shape of the value.

OnnxMl.ValueInfoProtoOrBuilder - Interface in onnx

OnnxMl.Version - Enum in onnx

Versioning ONNX versioning is specified in docs/IR.md and elaborated on in docs/Versioning.md To be compatible with both proto2 and proto3, we will use a version number that is not defined by the default value but an explicit enum number.

onnxName() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The opName of this function in onnx

onnxName() - Method in class org.nd4j.linalg.api.ops.BaseOp

onnxName() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.All

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Max

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Min

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.ZeroFraction

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.LogX

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Pow

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.PowDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.PRelu

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Relu6

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Step

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Create

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.GatherNd

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesAs

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.SetShape

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ShapeN

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Size

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.Assign

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsFinite

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsInf

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsNaN

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpaceND

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseAnd

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseOr

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseXor

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicRShiftBits

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicShiftBits

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.XwPlusB

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Zeta

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative

Deprecated.

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative

Deprecated.

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative

Deprecated.

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative

Deprecated.

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative

Deprecated.

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative

Deprecated.

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HistogramFixedWidth

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorDivOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RealDivOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Not

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReluLayer

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMax

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMin

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Cube

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Floor

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Max

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Min

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Negative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.OneMinus

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Reciprocal

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Round

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Square

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.TimesOneMinus

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erf

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erfc

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Exp

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Expm1

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log1p

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.LogSigmoid

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Mish

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Rint

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanDerivative

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

onnxName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative

Deprecated.

onnxName() - Method in class org.nd4j.linalg.api.ops.NoOp

onnxName() - Method in class org.nd4j.linalg.api.ops.persistence.RestoreV2

onnxName() - Method in class org.nd4j.linalg.api.ops.persistence.SaveV2

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.Choice

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.RandomMultinomial

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.Range

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

onnxName() - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

onnxNames() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The opName of this function in onnx

onnxNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

onnxNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell

onnxOpDescriptors() - Static method in class org.nd4j.imports.descriptors.onnx.OnnxDescriptorParser

Get the onnx op descriptors by name

OnnxOperators - Class in onnx

OnnxOperators.OperatorProto - Class in onnx

An OperatorProto represents the immutable specification of the signature and semantics of an operator.

OnnxOperators.OperatorProto.Builder - Class in onnx

An OperatorProto represents the immutable specification of the signature and semantics of an operator.

OnnxOperators.OperatorProtoOrBuilder - Interface in onnx

OnnxOperators.OperatorSetProto - Class in onnx

An OperatorSetProto represents an immutable set of immutable operator specifications.

OnnxOperators.OperatorSetProto.Builder - Class in onnx

An OperatorSetProto represents an immutable set of immutable operator specifications.

OnnxOperators.OperatorSetProtoOrBuilder - Interface in onnx

op - Variable in class org.nd4j.autodiff.samediff.internal.SameDiffOp

Op - Interface in org.nd4j.linalg.api.ops

OP - org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

OP_END_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

OP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDefs

OP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef

OP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeDef

OP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpList

OP_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

OP_ID_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

OP_IMPL = 4;

OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

OP_IMPL = 4;

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

WARNING: do not change without changing serialization methods See FlatBuffersMapper.getOpNum(String, Type) and DifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

WARNING: do not change without changing serialization methods See FlatBuffersMapper.getOpNum(String, Type) and DifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

WARNING: do not change without changing serialization methods See FlatBuffersMapper.getOpNum(String, Type) and DifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration

WARNING: do not change without changing serialization methods See FlatBuffersMapper.getOpNum(String, Type) and DifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

WARNING: do not change without changing serialization methods See FlatBuffersMapper.getOpNum(String, Type) and DifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

WARNING: do not change without changing serialization methods See FlatBuffersMapper.getOpNum(String, Type) and DifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

OP_NAME - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp

OP_NUM - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

OP_NUM - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

OP_NUM - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

OP_NUM - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration

OP_NUM - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

OP_NUM - Static variable in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

OP_START_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

OP_TIMING - Static variable in class org.nd4j.graph.UIEventType

OP_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.NodeProto

OP_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.NodeProto

OP_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorProto

Op.Type - Enum in org.nd4j.linalg.api.ops

OPAQUE_TYPE - onnx.OnnxMl.TypeProto.ValueCase

OPAQUE_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto

OpBenchmarkListener - Class in org.nd4j.autodiff.listeners.debugging

OpBenchmarkListener(Operation, OpBenchmarkListener.Mode) - Constructor for class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener

OpBenchmarkListener(Operation, OpBenchmarkListener.Mode, long) - Constructor for class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener

OpBenchmarkListener.Mode - Enum in org.nd4j.autodiff.listeners.debugging

OpBenchmarkListener.OpExec - Class in org.nd4j.autodiff.listeners.debugging

OpClass - Class in org.nd4j.graph

OpContext - Interface in org.nd4j.linalg.api.ops

OPDECLARATIONTYPE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.OpDescriptor

OpDef - Class in org.tensorflow.framework

Defines an operation.

OpDef.ArgDef - Class in org.tensorflow.framework

For describing inputs and outputs.

OpDef.ArgDef.Builder - Class in org.tensorflow.framework

For describing inputs and outputs.

OpDef.ArgDefOrBuilder - Interface in org.tensorflow.framework

OpDef.AttrDef - Class in org.tensorflow.framework

Description of the graph-construction-time configuration of this Op.

OpDef.AttrDef.Builder - Class in org.tensorflow.framework

Description of the graph-construction-time configuration of this Op.

OpDef.AttrDefOrBuilder - Interface in org.tensorflow.framework

OpDef.Builder - Class in org.tensorflow.framework

Defines an operation.

OpDefOrBuilder - Interface in org.tensorflow.framework

OpDefProtos - Class in org.tensorflow.framework

OpDep(String, String, int, FrameIter) - Constructor for class org.nd4j.autodiff.samediff.internal.InferenceSession.OpDep

OpDeprecation - Class in org.tensorflow.framework

Information about version-dependent deprecation of an op

OpDeprecation.Builder - Class in org.tensorflow.framework

Information about version-dependent deprecation of an op

OpDeprecationOrBuilder - Interface in org.tensorflow.framework

OpDescriptor - Class in org.nd4j.imports.descriptors.onnx

OpDescriptor - Class in org.nd4j.linalg.api.ops.grid

OpDescriptor() - Constructor for class org.nd4j.imports.descriptors.onnx.OpDescriptor

OpDescriptor(Op) - Constructor for class org.nd4j.linalg.api.ops.grid.OpDescriptor

OpDescriptorHolder - Class in org.nd4j.ir

A utility class for accessing the nd4j op descriptors.

OpDescriptorHolder() - Constructor for class org.nd4j.ir.OpDescriptorHolder

opDescs() - Static method in class org.nd4j.imports.descriptors.tensorflow.TensorflowDescriptorParser

Get the op descriptors for tensorflow

OPENBLAS - org.nd4j.linalg.api.blas.Blas.Vendor

Operands - Class in org.nd4j.autodiff.execution.input

Operands() - Constructor for class org.nd4j.autodiff.execution.input.Operands

Operands.NodeDescriptor - Class in org.nd4j.autodiff.execution.input

operation() - Method in class org.nd4j.autodiff.listeners.At

Operation - Enum in org.nd4j.autodiff.listeners

OPERATION - tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase

OPERATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation

OPERATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation

OPERATION_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.QueueItem

OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

operationEnd(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.BaseListener

operationEnd(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.debugging.ControlflowListener

operationEnd(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener

operationEnd(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.impl.HistoryListener

operationEnd(SameDiff, Operation) - Method in interface org.nd4j.autodiff.listeners.Listener

Called at the end of an operation, e.g.

operationEnd(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener

operations(Operation...) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener.Builder

Specify the operations (training, inference, etc) to profile.

OPERATIONS - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

operationStart(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.BaseListener

operationStart(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.debugging.ControlflowListener

operationStart(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener

operationStart(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.impl.HistoryListener

operationStart(SameDiff, Operation) - Method in interface org.nd4j.autodiff.listeners.Listener

Called at the start of an operation, e.g.

operationStart(SameDiff, Operation) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener

OPERATOR_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorSetProto

OpExec() - Constructor for class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.OpExec

opExecution(SameDiff, At, MultiDataSet, SameDiffOp, OpContext, INDArray[]) - Method in class org.nd4j.autodiff.listeners.BaseListener

opExecution(SameDiff, At, MultiDataSet, SameDiffOp, OpContext, INDArray[]) - Method in class org.nd4j.autodiff.listeners.debugging.ArraySavingListener

opExecution(SameDiff, At, MultiDataSet, SameDiffOp, OpContext, INDArray[]) - Method in class org.nd4j.autodiff.listeners.debugging.ControlflowListener

opExecution(SameDiff, At, MultiDataSet, SameDiffOp, OpContext, INDArray[]) - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener

opExecution(SameDiff, At, MultiDataSet, SameDiffOp, OpContext, INDArray[]) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

opExecution(SameDiff, At, MultiDataSet, SameDiffOp, OpContext, INDArray[]) - Method in interface org.nd4j.autodiff.listeners.Listener

Called at the end of each operation execution

opExecution(SameDiff, At, MultiDataSet, SameDiffOp, OpContext, INDArray[]) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener

opExecution(SameDiff, At, MultiDataSet, SameDiffOp, OpContext, INDArray[]) - Method in class org.nd4j.autodiff.validation.ActivationGradientCheckListener

OpExecutioner - Interface in org.nd4j.linalg.api.ops.executioner

OpExecutioner.ExecutionerType - Enum in org.nd4j.linalg.api.ops.executioner

OpExecutioner.ProfilingMode - Enum in org.nd4j.linalg.api.ops.executioner

OpExecutionerUtil - Class in org.nd4j.linalg.api.ops.executioner

opExists(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns true if the given function id exists

opHash - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

opHash() - Method in interface org.nd4j.linalg.api.ops.CustomOp

This method returns LongHash of the opName()

opHash() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

This method returns LongHash of the opName()

opHash() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

OpImportFilter<GRAPH_TYPE,NODE_TYPE,ATTR_TYPE> - Interface in org.nd4j.imports.graphmapper

Define whether the operation should be skipped during import

OpImportOverride<GRAPH_TYPE,NODE_TYPE,ATTR_TYPE> - Interface in org.nd4j.imports.graphmapper

opInfoString(Op, Optional<int[]>) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

Get the information about the op in a String representation, for throwing more useful exceptions (mainly for debugging)

opInputMatchPredicates - Variable in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

opInputSubgraphPredicates - Variable in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

opList() - Static method in class org.nd4j.ir.OpDescriptorHolder

Returns an singleton of the OpDescriptorHolder.nd4jOpList() result, useful for preventing repeated I/O.

OpList - Class in org.tensorflow.framework

A collection of OpDefs

OPLIST_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.OpDescriptorList

OpList.Builder - Class in org.tensorflow.framework

A collection of OpDefs

OpListOrBuilder - Interface in org.tensorflow.framework

opName - Variable in class org.nd4j.autodiff.samediff.internal.InferenceSession.OpDep

opName - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

opName() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The name of the op

opName() - Method in class org.nd4j.graph.FlatNode

opName() - Method in class org.nd4j.graph.UIOp

opName() - Method in class org.nd4j.linalg.api.ops.compat.CompatSparseToDense

opName() - Method in class org.nd4j.linalg.api.ops.compat.CompatStringSplit

opName() - Method in class org.nd4j.linalg.api.ops.compression.DecodeBitmap

opName() - Method in class org.nd4j.linalg.api.ops.compression.DecodeThreshold

opName() - Method in class org.nd4j.linalg.api.ops.compression.EncodeBitmap

opName() - Method in class org.nd4j.linalg.api.ops.compression.EncodeThreshold

opName() - Method in class org.nd4j.linalg.api.ops.custom.AdjustContrast

opName() - Method in class org.nd4j.linalg.api.ops.custom.AdjustHue

opName() - Method in class org.nd4j.linalg.api.ops.custom.AdjustSaturation

opName() - Method in class org.nd4j.linalg.api.ops.custom.BarnesEdgeForces

opName() - Method in class org.nd4j.linalg.api.ops.custom.BarnesHutGains

opName() - Method in class org.nd4j.linalg.api.ops.custom.BarnesHutSymmetrize

opName() - Method in class org.nd4j.linalg.api.ops.custom.BetaInc

opName() - Method in class org.nd4j.linalg.api.ops.custom.BitCast

opName() - Method in class org.nd4j.linalg.api.ops.custom.CompareAndBitpack

opName() - Method in class org.nd4j.linalg.api.ops.custom.Digamma

opName() - Method in class org.nd4j.linalg.api.ops.custom.DivideNoNan

opName() - Method in class org.nd4j.linalg.api.ops.custom.DrawBoundingBoxes

opName() - Method in class org.nd4j.linalg.api.ops.custom.Eig

opName() - Method in class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

opName() - Method in class org.nd4j.linalg.api.ops.custom.Flatten

opName() - Method in class org.nd4j.linalg.api.ops.custom.FusedBatchNorm

opName() - Method in class org.nd4j.linalg.api.ops.custom.HsvToRgb

opName() - Method in class org.nd4j.linalg.api.ops.custom.Igamma

opName() - Method in class org.nd4j.linalg.api.ops.custom.Igammac

opName() - Method in class org.nd4j.linalg.api.ops.custom.Invoke

opName() - Method in class org.nd4j.linalg.api.ops.custom.KnnMinDistance

opName() - Method in class org.nd4j.linalg.api.ops.custom.Lgamma

opName() - Method in class org.nd4j.linalg.api.ops.custom.LinearSolve

opName() - Method in class org.nd4j.linalg.api.ops.custom.Logdet

opName() - Method in class org.nd4j.linalg.api.ops.custom.Lstsq

opName() - Method in class org.nd4j.linalg.api.ops.custom.Lu

opName() - Method in class org.nd4j.linalg.api.ops.custom.MatrixBandPart

opName() - Method in class org.nd4j.linalg.api.ops.custom.Polygamma

opName() - Method in class org.nd4j.linalg.api.ops.custom.RandomCrop

opName() - Method in class org.nd4j.linalg.api.ops.custom.RgbToGrayscale

opName() - Method in class org.nd4j.linalg.api.ops.custom.RgbToHsv

opName() - Method in class org.nd4j.linalg.api.ops.custom.RgbToYiq

opName() - Method in class org.nd4j.linalg.api.ops.custom.RgbToYuv

opName() - Method in class org.nd4j.linalg.api.ops.custom.Roll

opName() - Method in class org.nd4j.linalg.api.ops.custom.SpTreeCell

opName() - Method in class org.nd4j.linalg.api.ops.custom.ToggleBits

opName() - Method in class org.nd4j.linalg.api.ops.custom.Tri

opName() - Method in class org.nd4j.linalg.api.ops.custom.TriangularSolve

opName() - Method in class org.nd4j.linalg.api.ops.custom.Triu

opName() - Method in class org.nd4j.linalg.api.ops.custom.TriuBp

opName() - Method in class org.nd4j.linalg.api.ops.custom.YiqToRgb

opName() - Method in class org.nd4j.linalg.api.ops.custom.YuvToRgb

opName() - Method in interface org.nd4j.linalg.api.ops.CustomOp

This method returns op opName as string

opName() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

This method returns op opName as string

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.StopGradient

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Select

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Where

opName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy

opName() - Method in class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.CropAndResize

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.ImageResize

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

opName() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeNearestNeighbor

opName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

opName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

opName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

opName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

opName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3DDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3dBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRU

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlock

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU

opName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.AbsoluteDifferenceLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.CosineDistanceLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.CtcLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.HingeLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.HuberLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.LogLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.LogPoissonLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.MeanPairwiseSquaredErrorLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.MeanSquaredErrorLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SigmoidCrossEntropyLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyWithLogitsLossBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SparseSoftmaxCrossEntropyLossWithLogitsBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.CosineDistanceLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.CtcLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.HingeLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.HuberLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.L2Loss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.LogLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.MeanPairwiseSquaredErrorLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.MeanSquaredErrorLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

opName() - Method in class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

opName() - Method in class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.nlp.CbowRound

opName() - Method in class org.nd4j.linalg.api.ops.impl.nlp.SkipGramRound

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.All

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.MaxBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.MeanBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.MinBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm1Bp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.NormMaxBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.PowBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.LogSumExp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.HashCode

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.MmulBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Moments

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.NormalizeMoments

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Max

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Min

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.SufficientStatistics

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.ZeroFraction

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.Dot

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

opName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.LogX

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Pow

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.PowDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.PRelu

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinearDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Relu6

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction

opName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Step

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub

opName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.MergeAvgBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.MergeMaxBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Create

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.CreateView

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Cross

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.GatherNd

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMaxIndex

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MeshGrid

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesAs

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ReductionShape

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.SetShape

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ShapeN

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Size

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.SizeAt

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.EmbeddingLookup

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRemove

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySplit

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

opName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

opName() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

opName() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Angle

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.Assign

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assert

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinCount

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsFinite

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsInf

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsNaN

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.CheckNumerics

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cholesky

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByAvgNorm

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNormBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpaceND

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitsHammingDistance

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseAnd

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseOr

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseXor

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CReLU

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CReluBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicRShiftBits

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicShiftBits

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttention

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DotProductAttentionBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InTopK

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNonDecreasing

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsNumericTensor

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.IsStrictlyIncreasing

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ListDiff

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalAnd

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalNot

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalOr

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalXor

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogMatrixDeterminant

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDeterminant

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiag

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiagPart

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixInverse

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixSetDiag

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MaximumBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttention

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttentionBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Pow

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Qr

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.RShiftBits

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ShiftBits

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ThresholdRelu

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Trace

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.XwPlusB

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Zeta

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.MinMaxDataType

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.SqrtM

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative

Deprecated.

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.EluBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

The opName of this operation

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative

Deprecated.

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative

Deprecated.

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative

The opName of this operation

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.PReluBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative

Deprecated.

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative

Deprecated.

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SeluBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative

The opName of this operation

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftPlusBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative

Deprecated.

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

The opName of this operation

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.ThresholdReluBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Histogram

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HistogramFixedWidth

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.NthElement

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pad

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.AddBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.DivBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.FloorDivBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.FloorModBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.MergeAddBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.ModBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.MulBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.RDivBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.RSubBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SubBpOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorDivOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RealDivOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Not

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReluLayer

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMin

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Cube

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Floor

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Max

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Min

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Negative

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.OneMinus

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Reciprocal

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Round

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Square

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.TimesOneMinus

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMaxBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMeanBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMinBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentProdBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentSumBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMaxBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMeanBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMinBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentProdBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSqrtNBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSumBp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSqrtN

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erf

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erfc

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Exp

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Expm1

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log1p

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.LogSigmoid

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Mish

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Rint

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanDerivative

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

opName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative

Deprecated.

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.AdaBeliefUpdater

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.AdaDeltaUpdater

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.AdaGradUpdater

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.AdaMaxUpdater

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.AdamUpdater

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.AmsGradUpdater

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.NadamUpdater

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.NesterovsUpdater

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.RmsPropUpdater

opName() - Method in class org.nd4j.linalg.api.ops.impl.updaters.SgdUpdater

opName() - Method in class org.nd4j.linalg.api.ops.NoOp

opName() - Method in interface org.nd4j.linalg.api.ops.Op

The opName of this operation

opName() - Method in class org.nd4j.linalg.api.ops.persistence.RestoreV2

opName() - Method in class org.nd4j.linalg.api.ops.persistence.SaveV2

opName() - Method in class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal

opName() - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

opName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli

opName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomExponential

opName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomGamma

opName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomNormal

opName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomPoisson

opName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomShuffle

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.Choice

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.RandomMultinomial

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.Range

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

opName() - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

opName() - Method in class org.nd4j.linalg.api.ops.util.PrintAffinity

opName() - Method in class org.nd4j.linalg.api.ops.util.PrintVariable

OPNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MapperDeclaration

opNameAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

opNameAsByteBuffer() - Method in class org.nd4j.graph.UIOp

opNameEquals(String) - Static method in class org.nd4j.autodiff.samediff.transform.OpPredicate

Return true if the operation name (i.e., "add", "mul", etc - not the user specified name) equals the specified name

opNameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

opNameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIOp

opNameMatches(String) - Static method in class org.nd4j.autodiff.samediff.transform.OpPredicate

Return true if the operation name (i.e., "add", "mul", etc - not the user specified name) matches the specified regular expression

opNames() - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder

OpNamespace - Class in org.nd4j.ir

OpNamespace.ArgDescriptor - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.ArgDescriptor

OpNamespace.ArgDescriptor.ArgType - Enum in org.nd4j.ir

Protobuf enum org.nd4j.ir.ArgDescriptor.ArgType

OpNamespace.ArgDescriptor.Builder - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.ArgDescriptor

OpNamespace.ArgDescriptorOrBuilder - Interface in org.nd4j.ir

OpNamespace.OpDescriptor - Class in org.nd4j.ir

Op descriptor

OpNamespace.OpDescriptor.Builder - Class in org.nd4j.ir

Op descriptor

OpNamespace.OpDescriptor.OpDeclarationType - Enum in org.nd4j.ir

Protobuf enum org.nd4j.ir.OpDescriptor.OpDeclarationType

OpNamespace.OpDescriptorList - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.OpDescriptorList

OpNamespace.OpDescriptorList.Builder - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.OpDescriptorList

OpNamespace.OpDescriptorListOrBuilder - Interface in org.nd4j.ir

OpNamespace.OpDescriptorOrBuilder - Interface in org.nd4j.ir

opNum() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The number of the op (mainly for old legacy XYZ ops like Op)

opNum() - Method in class org.nd4j.graph.FlatNode

opNum() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

opNum() - Method in class org.nd4j.linalg.api.ops.aggregates.Batch

This method returns opNum for batched aggregate

opNum() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

Deprecated.

opNum() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

opNum() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

opNum() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

opNum() - Method in class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.All

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsInf

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.IsNaN

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Entropy

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm2

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Max

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Min

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.CosineDistance

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.CosineSimilarity

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.Dot

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.EqualsWithEps

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.EuclideanDistance

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.HammingDistance

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

opNum() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.LogX

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Pow

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.PowDerivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Relu6

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction

opNum() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Step

opNum() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

opNum() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.Assign

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsFinite

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsInf

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsNaN

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative

Deprecated.

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative

Deprecated.

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative

Deprecated.

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative

Deprecated.

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative

Deprecated.

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative

Deprecated.

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Not

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMax

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMin

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Cube

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Floor

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Max

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Min

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Negative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.OneMinus

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Reciprocal

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Round

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Square

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.TimesOneMinus

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erf

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erfc

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Exp

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Expm1

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.GELU

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log1p

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.LogSigmoid

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Mish

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Rint

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanDerivative

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

opNum() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative

Deprecated.

opNum() - Method in interface org.nd4j.linalg.api.ops.Op

An op number.

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.Choice

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.Range

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

opNum() - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

OpPredicate - Class in org.nd4j.autodiff.samediff.transform

OpPredicate() - Constructor for class org.nd4j.autodiff.samediff.transform.OpPredicate

OpProfiler - Class in org.nd4j.linalg.profiler

OpProfiler.OpProfilerListener - Interface in org.nd4j.linalg.profiler

OpProfiler.PenaltyCause - Enum in org.nd4j.linalg.profiler

ops() - Method in class org.nd4j.autodiff.samediff.SameDiff

Get an array of differential functions that have been defined for this SameDiff instance

ops(int) - Method in class org.nd4j.graph.UIGraphStructure

ops(UIOp, int) - Method in class org.nd4j.graph.UIGraphStructure

OPS_ONLY - org.nd4j.autodiff.listeners.debugging.ExecDebuggingListener.PrintMode

OPSET_IMPORT_FIELD_NUMBER - Static variable in class onnx.Onnx.FunctionProto

OPSET_IMPORT_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

OPSET_IMPORT_FIELD_NUMBER - Static variable in class onnx.OnnxMl.FunctionProto

OPSET_IMPORT_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

OPSET_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorSetProto

opsLength() - Method in class org.nd4j.graph.UIGraphStructure

OpStats - Class in org.nd4j.autodiff.listeners.profiler.comparison

OpStats() - Constructor for class org.nd4j.autodiff.listeners.profiler.comparison.OpStats

OpStatus - Enum in org.nd4j.linalg.api.ops.executioner

opsVector() - Method in class org.nd4j.graph.UIGraphStructure

opsVector(UIOp.Vector) - Method in class org.nd4j.graph.UIGraphStructure

OPT_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OptimizerOptions

OpTestCase - Class in org.nd4j.autodiff.validation

OpTestCase(DynamicCustomOp) - Constructor for class org.nd4j.autodiff.validation.OpTestCase

OptimizationConfig - Class in org.nd4j.autodiff.samediff.optimize

OptimizationConfig() - Constructor for class org.nd4j.autodiff.samediff.optimize.OptimizationConfig

OptimizationDebugger - Interface in org.nd4j.autodiff.samediff.optimize.debug

Used as a listener for

OptimizationHelper - Class in org.nd4j.autodiff.samediff.optimize

OptimizationHelper(SameDiff, Properties) - Constructor for class org.nd4j.autodiff.samediff.optimize.OptimizationHelper

OptimizationUtils - Class in org.nd4j.autodiff.samediff.optimize.optimizations

optimize(SameDiff, String...) - Static method in class org.nd4j.autodiff.samediff.optimize.GraphOptimizer

optimize(SameDiff, List<String>) - Static method in class org.nd4j.autodiff.samediff.optimize.GraphOptimizer

optimize(SameDiff, List<String>, List<OptimizerSet>) - Static method in class org.nd4j.autodiff.samediff.optimize.GraphOptimizer

optimize(SameDiff, List<String>, List<OptimizerSet>, OptimizationDebugger) - Static method in class org.nd4j.autodiff.samediff.optimize.GraphOptimizer

OPTIMIZED - Static variable in class org.nd4j.graph.OutputMode

OptimizedGraphArrayHolder - Class in org.nd4j.autodiff.samediff.array

OptimizedGraphArrayHolder(ArrayHolder) - Constructor for class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

Optimizer - Interface in org.nd4j.autodiff.samediff.optimize

OPTIMIZER_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphOptions

OptimizerOptions - Class in org.tensorflow.framework

Options passed to the graph optimizer

OptimizerOptions.Builder - Class in org.tensorflow.framework

Options passed to the graph optimizer

OptimizerOptions.GlobalJitLevel - Enum in org.tensorflow.framework

Control the use of the compiler/jit.

OptimizerOptions.Level - Enum in org.tensorflow.framework

Optimization level

OptimizerOptionsOrBuilder - Interface in org.tensorflow.framework

OPTIMIZERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

OptimizerSet - Interface in org.nd4j.autodiff.samediff.optimize

OPTIONAL_TYPE - onnx.Onnx.TypeProto.ValueCase

OPTIONAL_TYPE - onnx.OnnxMl.TypeProto.ValueCase

OPTIONAL_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto

OPTIONAL_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto

options(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.MakeCallableRequest

OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepRequest

OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.TracingRequest

opType() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The type of the op

opType() - Method in class org.nd4j.graph.FlatNode

opType() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation

opType() - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp

opType() - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp

opType() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

opType() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

opType() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

opType() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond

opType() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

opType() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration

opType() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

opType() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

opType() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

opType() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3

opType() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

opType() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

opType() - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

opType() - Method in class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

opType() - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

opType() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

opType() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.ReductionShape

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.SetShape

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.Size

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.SizeAt

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRemove

opType() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite

opType() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

opType() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

opType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

opType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

opType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

opType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

opType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

opType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

opType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

opType() - Method in class org.nd4j.linalg.api.ops.NoOp

opType() - Method in class org.nd4j.linalg.api.ops.random.BaseRandomOp

opType() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut

opType() - Method in class org.nd4j.linalg.api.ops.random.impl.Range

OpType - Class in org.nd4j.graph

OpValidation - Class in org.nd4j.autodiff.validation

OpValidation() - Constructor for class org.nd4j.autodiff.validation.OpValidation

or(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise OR operation.

or(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Boolean OR operation: elementwise (x != 0) || (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

or(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise OR operation.

or(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Boolean OR operation: elementwise (x != 0) || (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

or(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Bitwise OR operation.

or(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Boolean OR operation: elementwise (x != 0) || (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

or(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

or(INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

Or over the whole ndarray given some condition

or(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

Or over the whole ndarray given some condition, with respect to dimensions

or(Condition...) - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder

Or - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool

Or - Class in org.nd4j.linalg.indexing.conditions

Or() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

Or(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

Or(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

Or(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

Or(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

Or(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

Or(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

Or(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.Or

order - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo

order - Variable in class org.nd4j.linalg.api.ops.impl.shape.Create

order - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory

order() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Returns the order for this ndarray for internal data storage

order() - Static method in class org.nd4j.linalg.factory.Nd4j

Returns the ordering of the ndarrays

order() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Returns the order for this ndarray for internal data storage

order() - Method in class org.nd4j.weightinit.BaseWeightInitScheme

order() - Method in class org.nd4j.weightinit.impl.NDArraySupplierInitScheme

order() - Method in interface org.nd4j.weightinit.WeightInitScheme

The order of the weight init

order(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

order(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

order(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns the order given the shape information

order(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

order(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns the order given the shape information

ordering() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

ordering() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Return the ordering (fortran or c 'f' and 'c' respectively) of this ndarray

org.nd4j - package org.nd4j

org.nd4j.adapters - package org.nd4j.adapters

org.nd4j.autodiff.execution.conf - package org.nd4j.autodiff.execution.conf

org.nd4j.autodiff.execution.input - package org.nd4j.autodiff.execution.input

org.nd4j.autodiff.functions - package org.nd4j.autodiff.functions

org.nd4j.autodiff.listeners - package org.nd4j.autodiff.listeners

org.nd4j.autodiff.listeners.checkpoint - package org.nd4j.autodiff.listeners.checkpoint

org.nd4j.autodiff.listeners.debugging - package org.nd4j.autodiff.listeners.debugging

org.nd4j.autodiff.listeners.impl - package org.nd4j.autodiff.listeners.impl

org.nd4j.autodiff.listeners.profiler - package org.nd4j.autodiff.listeners.profiler

org.nd4j.autodiff.listeners.profiler.comparison - package org.nd4j.autodiff.listeners.profiler.comparison

org.nd4j.autodiff.listeners.profiler.data - package org.nd4j.autodiff.listeners.profiler.data

org.nd4j.autodiff.listeners.records - package org.nd4j.autodiff.listeners.records

org.nd4j.autodiff.loss - package org.nd4j.autodiff.loss

org.nd4j.autodiff.samediff - package org.nd4j.autodiff.samediff

org.nd4j.autodiff.samediff.api - package org.nd4j.autodiff.samediff.api

org.nd4j.autodiff.samediff.array - package org.nd4j.autodiff.samediff.array

org.nd4j.autodiff.samediff.config - package org.nd4j.autodiff.samediff.config

org.nd4j.autodiff.samediff.impl - package org.nd4j.autodiff.samediff.impl

org.nd4j.autodiff.samediff.internal - package org.nd4j.autodiff.samediff.internal

org.nd4j.autodiff.samediff.internal.memory - package org.nd4j.autodiff.samediff.internal.memory

org.nd4j.autodiff.samediff.ops - package org.nd4j.autodiff.samediff.ops

org.nd4j.autodiff.samediff.optimize - package org.nd4j.autodiff.samediff.optimize

org.nd4j.autodiff.samediff.optimize.debug - package org.nd4j.autodiff.samediff.optimize.debug

org.nd4j.autodiff.samediff.optimize.optimizations - package org.nd4j.autodiff.samediff.optimize.optimizations

org.nd4j.autodiff.samediff.serde - package org.nd4j.autodiff.samediff.serde

org.nd4j.autodiff.samediff.transform - package org.nd4j.autodiff.samediff.transform

org.nd4j.autodiff.util - package org.nd4j.autodiff.util

org.nd4j.autodiff.validation - package org.nd4j.autodiff.validation

org.nd4j.autodiff.validation.functions - package org.nd4j.autodiff.validation.functions

org.nd4j.context - package org.nd4j.context

org.nd4j.enums - package org.nd4j.enums

org.nd4j.evaluation - package org.nd4j.evaluation

org.nd4j.evaluation.classification - package org.nd4j.evaluation.classification

org.nd4j.evaluation.curves - package org.nd4j.evaluation.curves

org.nd4j.evaluation.custom - package org.nd4j.evaluation.custom

org.nd4j.evaluation.meta - package org.nd4j.evaluation.meta

org.nd4j.evaluation.regression - package org.nd4j.evaluation.regression

org.nd4j.evaluation.serde - package org.nd4j.evaluation.serde

org.nd4j.graph - package org.nd4j.graph

org.nd4j.graph.ui - package org.nd4j.graph.ui

org.nd4j.imports - package org.nd4j.imports

org.nd4j.imports.converters - package org.nd4j.imports.converters

org.nd4j.imports.descriptors.onnx - package org.nd4j.imports.descriptors.onnx

org.nd4j.imports.descriptors.properties - package org.nd4j.imports.descriptors.properties

org.nd4j.imports.descriptors.properties.adapters - package org.nd4j.imports.descriptors.properties.adapters

org.nd4j.imports.descriptors.tensorflow - package org.nd4j.imports.descriptors.tensorflow

org.nd4j.imports.graphmapper - package org.nd4j.imports.graphmapper

org.nd4j.imports.graphmapper.tf - package org.nd4j.imports.graphmapper.tf

org.nd4j.imports.graphmapper.tf.tensors - package org.nd4j.imports.graphmapper.tf.tensors

org.nd4j.imports.tensorflow - package org.nd4j.imports.tensorflow

org.nd4j.ir - package org.nd4j.ir

org.nd4j.linalg.activations - package org.nd4j.linalg.activations

org.nd4j.linalg.activations.impl - package org.nd4j.linalg.activations.impl

org.nd4j.linalg.api.blas - package org.nd4j.linalg.api.blas

org.nd4j.linalg.api.blas.impl - package org.nd4j.linalg.api.blas.impl

org.nd4j.linalg.api.blas.params - package org.nd4j.linalg.api.blas.params

org.nd4j.linalg.api.buffer - package org.nd4j.linalg.api.buffer

org.nd4j.linalg.api.buffer.allocation - package org.nd4j.linalg.api.buffer.allocation

org.nd4j.linalg.api.buffer.factory - package org.nd4j.linalg.api.buffer.factory

org.nd4j.linalg.api.buffer.util - package org.nd4j.linalg.api.buffer.util

org.nd4j.linalg.api.concurrency - package org.nd4j.linalg.api.concurrency

org.nd4j.linalg.api.environment - package org.nd4j.linalg.api.environment

org.nd4j.linalg.api.iter - package org.nd4j.linalg.api.iter

org.nd4j.linalg.api.memory - package org.nd4j.linalg.api.memory

org.nd4j.linalg.api.memory.abstracts - package org.nd4j.linalg.api.memory.abstracts

org.nd4j.linalg.api.memory.conf - package org.nd4j.linalg.api.memory.conf

org.nd4j.linalg.api.memory.deallocation - package org.nd4j.linalg.api.memory.deallocation

org.nd4j.linalg.api.memory.enums - package org.nd4j.linalg.api.memory.enums

org.nd4j.linalg.api.memory.pointers - package org.nd4j.linalg.api.memory.pointers

org.nd4j.linalg.api.memory.provider - package org.nd4j.linalg.api.memory.provider

org.nd4j.linalg.api.memory.stash - package org.nd4j.linalg.api.memory.stash

org.nd4j.linalg.api.ndarray - package org.nd4j.linalg.api.ndarray

org.nd4j.linalg.api.ops - package org.nd4j.linalg.api.ops

org.nd4j.linalg.api.ops.aggregates - package org.nd4j.linalg.api.ops.aggregates

org.nd4j.linalg.api.ops.aggregates.impl - package org.nd4j.linalg.api.ops.aggregates.impl

org.nd4j.linalg.api.ops.compat - package org.nd4j.linalg.api.ops.compat

org.nd4j.linalg.api.ops.compression - package org.nd4j.linalg.api.ops.compression

org.nd4j.linalg.api.ops.custom - package org.nd4j.linalg.api.ops.custom

org.nd4j.linalg.api.ops.executioner - package org.nd4j.linalg.api.ops.executioner

org.nd4j.linalg.api.ops.grid - package org.nd4j.linalg.api.ops.grid

org.nd4j.linalg.api.ops.impl.broadcast - package org.nd4j.linalg.api.ops.impl.broadcast

org.nd4j.linalg.api.ops.impl.broadcast.bool - package org.nd4j.linalg.api.ops.impl.broadcast.bool

org.nd4j.linalg.api.ops.impl.controlflow - package org.nd4j.linalg.api.ops.impl.controlflow

org.nd4j.linalg.api.ops.impl.controlflow.compat - package org.nd4j.linalg.api.ops.impl.controlflow.compat

org.nd4j.linalg.api.ops.impl.grid - package org.nd4j.linalg.api.ops.impl.grid

org.nd4j.linalg.api.ops.impl.image - package org.nd4j.linalg.api.ops.impl.image

org.nd4j.linalg.api.ops.impl.indexaccum - package org.nd4j.linalg.api.ops.impl.indexaccum

org.nd4j.linalg.api.ops.impl.indexaccum.custom - package org.nd4j.linalg.api.ops.impl.indexaccum.custom

org.nd4j.linalg.api.ops.impl.layers - package org.nd4j.linalg.api.ops.impl.layers

org.nd4j.linalg.api.ops.impl.layers.convolution - package org.nd4j.linalg.api.ops.impl.layers.convolution

org.nd4j.linalg.api.ops.impl.layers.convolution.config - package org.nd4j.linalg.api.ops.impl.layers.convolution.config

org.nd4j.linalg.api.ops.impl.layers.recurrent - package org.nd4j.linalg.api.ops.impl.layers.recurrent

org.nd4j.linalg.api.ops.impl.layers.recurrent.config - package org.nd4j.linalg.api.ops.impl.layers.recurrent.config

org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs - package org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs

org.nd4j.linalg.api.ops.impl.layers.recurrent.weights - package org.nd4j.linalg.api.ops.impl.layers.recurrent.weights

org.nd4j.linalg.api.ops.impl.loss - package org.nd4j.linalg.api.ops.impl.loss

org.nd4j.linalg.api.ops.impl.loss.bp - package org.nd4j.linalg.api.ops.impl.loss.bp

org.nd4j.linalg.api.ops.impl.meta - package org.nd4j.linalg.api.ops.impl.meta

org.nd4j.linalg.api.ops.impl.nlp - package org.nd4j.linalg.api.ops.impl.nlp

org.nd4j.linalg.api.ops.impl.reduce - package org.nd4j.linalg.api.ops.impl.reduce

org.nd4j.linalg.api.ops.impl.reduce.bool - package org.nd4j.linalg.api.ops.impl.reduce.bool

org.nd4j.linalg.api.ops.impl.reduce.bp - package org.nd4j.linalg.api.ops.impl.reduce.bp

org.nd4j.linalg.api.ops.impl.reduce.custom - package org.nd4j.linalg.api.ops.impl.reduce.custom

org.nd4j.linalg.api.ops.impl.reduce.floating - package org.nd4j.linalg.api.ops.impl.reduce.floating

org.nd4j.linalg.api.ops.impl.reduce.longer - package org.nd4j.linalg.api.ops.impl.reduce.longer

org.nd4j.linalg.api.ops.impl.reduce.same - package org.nd4j.linalg.api.ops.impl.reduce.same

org.nd4j.linalg.api.ops.impl.reduce3 - package org.nd4j.linalg.api.ops.impl.reduce3

org.nd4j.linalg.api.ops.impl.scalar - package org.nd4j.linalg.api.ops.impl.scalar

org.nd4j.linalg.api.ops.impl.scalar.comparison - package org.nd4j.linalg.api.ops.impl.scalar.comparison

org.nd4j.linalg.api.ops.impl.scatter - package org.nd4j.linalg.api.ops.impl.scatter

org.nd4j.linalg.api.ops.impl.shape - package org.nd4j.linalg.api.ops.impl.shape

org.nd4j.linalg.api.ops.impl.shape.bp - package org.nd4j.linalg.api.ops.impl.shape.bp

org.nd4j.linalg.api.ops.impl.shape.tensorops - package org.nd4j.linalg.api.ops.impl.shape.tensorops

org.nd4j.linalg.api.ops.impl.summarystats - package org.nd4j.linalg.api.ops.impl.summarystats

org.nd4j.linalg.api.ops.impl.transforms - package org.nd4j.linalg.api.ops.impl.transforms

org.nd4j.linalg.api.ops.impl.transforms.any - package org.nd4j.linalg.api.ops.impl.transforms.any

org.nd4j.linalg.api.ops.impl.transforms.bool - package org.nd4j.linalg.api.ops.impl.transforms.bool

org.nd4j.linalg.api.ops.impl.transforms.clip - package org.nd4j.linalg.api.ops.impl.transforms.clip

org.nd4j.linalg.api.ops.impl.transforms.comparison - package org.nd4j.linalg.api.ops.impl.transforms.comparison

org.nd4j.linalg.api.ops.impl.transforms.custom - package org.nd4j.linalg.api.ops.impl.transforms.custom

org.nd4j.linalg.api.ops.impl.transforms.custom.segment - package org.nd4j.linalg.api.ops.impl.transforms.custom.segment

org.nd4j.linalg.api.ops.impl.transforms.dtype - package org.nd4j.linalg.api.ops.impl.transforms.dtype

org.nd4j.linalg.api.ops.impl.transforms.floating - package org.nd4j.linalg.api.ops.impl.transforms.floating

org.nd4j.linalg.api.ops.impl.transforms.gradient - package org.nd4j.linalg.api.ops.impl.transforms.gradient

org.nd4j.linalg.api.ops.impl.transforms.pairwise - package org.nd4j.linalg.api.ops.impl.transforms.pairwise

org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic - package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp - package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool - package org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool

org.nd4j.linalg.api.ops.impl.transforms.same - package org.nd4j.linalg.api.ops.impl.transforms.same

org.nd4j.linalg.api.ops.impl.transforms.segment - package org.nd4j.linalg.api.ops.impl.transforms.segment

org.nd4j.linalg.api.ops.impl.transforms.segment.bp - package org.nd4j.linalg.api.ops.impl.transforms.segment.bp

org.nd4j.linalg.api.ops.impl.transforms.strict - package org.nd4j.linalg.api.ops.impl.transforms.strict

org.nd4j.linalg.api.ops.impl.updaters - package org.nd4j.linalg.api.ops.impl.updaters

org.nd4j.linalg.api.ops.performance - package org.nd4j.linalg.api.ops.performance

org.nd4j.linalg.api.ops.performance.primitives - package org.nd4j.linalg.api.ops.performance.primitives

org.nd4j.linalg.api.ops.persistence - package org.nd4j.linalg.api.ops.persistence

org.nd4j.linalg.api.ops.random - package org.nd4j.linalg.api.ops.random

org.nd4j.linalg.api.ops.random.compat - package org.nd4j.linalg.api.ops.random.compat

org.nd4j.linalg.api.ops.random.custom - package org.nd4j.linalg.api.ops.random.custom

org.nd4j.linalg.api.ops.random.impl - package org.nd4j.linalg.api.ops.random.impl

org.nd4j.linalg.api.ops.util - package org.nd4j.linalg.api.ops.util

org.nd4j.linalg.api.rng - package org.nd4j.linalg.api.rng

org.nd4j.linalg.api.rng.distribution - package org.nd4j.linalg.api.rng.distribution

org.nd4j.linalg.api.rng.distribution.factory - package org.nd4j.linalg.api.rng.distribution.factory

org.nd4j.linalg.api.rng.distribution.impl - package org.nd4j.linalg.api.rng.distribution.impl

org.nd4j.linalg.api.shape - package org.nd4j.linalg.api.shape

org.nd4j.linalg.api.shape.loop.coordinatefunction - package org.nd4j.linalg.api.shape.loop.coordinatefunction

org.nd4j.linalg.api.shape.options - package org.nd4j.linalg.api.shape.options

org.nd4j.linalg.cache - package org.nd4j.linalg.cache

org.nd4j.linalg.checkutil - package org.nd4j.linalg.checkutil

org.nd4j.linalg.compression - package org.nd4j.linalg.compression

org.nd4j.linalg.convolution - package org.nd4j.linalg.convolution

org.nd4j.linalg.dataset - package org.nd4j.linalg.dataset

org.nd4j.linalg.dataset.adapter - package org.nd4j.linalg.dataset.adapter

org.nd4j.linalg.dataset.api - package org.nd4j.linalg.dataset.api

org.nd4j.linalg.dataset.api.iterator - package org.nd4j.linalg.dataset.api.iterator

org.nd4j.linalg.dataset.api.iterator.cache - package org.nd4j.linalg.dataset.api.iterator.cache

org.nd4j.linalg.dataset.api.iterator.enums - package org.nd4j.linalg.dataset.api.iterator.enums

org.nd4j.linalg.dataset.api.iterator.fetcher - package org.nd4j.linalg.dataset.api.iterator.fetcher

org.nd4j.linalg.dataset.api.preprocessor - package org.nd4j.linalg.dataset.api.preprocessor

org.nd4j.linalg.dataset.api.preprocessor.classimbalance - package org.nd4j.linalg.dataset.api.preprocessor.classimbalance

org.nd4j.linalg.dataset.api.preprocessor.serializer - package org.nd4j.linalg.dataset.api.preprocessor.serializer

org.nd4j.linalg.dataset.api.preprocessor.stats - package org.nd4j.linalg.dataset.api.preprocessor.stats

org.nd4j.linalg.dataset.callbacks - package org.nd4j.linalg.dataset.callbacks

org.nd4j.linalg.dimensionalityreduction - package org.nd4j.linalg.dimensionalityreduction

org.nd4j.linalg.eigen - package org.nd4j.linalg.eigen

org.nd4j.linalg.env - package org.nd4j.linalg.env

org.nd4j.linalg.env.impl - package org.nd4j.linalg.env.impl

org.nd4j.linalg.exception - package org.nd4j.linalg.exception

org.nd4j.linalg.executors - package org.nd4j.linalg.executors

org.nd4j.linalg.factory - package org.nd4j.linalg.factory

org.nd4j.linalg.factory.ops - package org.nd4j.linalg.factory.ops

org.nd4j.linalg.heartbeat - package org.nd4j.linalg.heartbeat

org.nd4j.linalg.heartbeat.reports - package org.nd4j.linalg.heartbeat.reports

org.nd4j.linalg.heartbeat.utils - package org.nd4j.linalg.heartbeat.utils

org.nd4j.linalg.indexing - package org.nd4j.linalg.indexing

org.nd4j.linalg.indexing.conditions - package org.nd4j.linalg.indexing.conditions

org.nd4j.linalg.indexing.functions - package org.nd4j.linalg.indexing.functions

org.nd4j.linalg.indexing.masking - package org.nd4j.linalg.indexing.masking

org.nd4j.linalg.inverse - package org.nd4j.linalg.inverse

org.nd4j.linalg.learning - package org.nd4j.linalg.learning

org.nd4j.linalg.learning.config - package org.nd4j.linalg.learning.config

org.nd4j.linalg.learning.legacy - package org.nd4j.linalg.learning.legacy

org.nd4j.linalg.learning.regularization - package org.nd4j.linalg.learning.regularization

org.nd4j.linalg.lossfunctions - package org.nd4j.linalg.lossfunctions

org.nd4j.linalg.lossfunctions.impl - package org.nd4j.linalg.lossfunctions.impl

org.nd4j.linalg.lossfunctions.serde - package org.nd4j.linalg.lossfunctions.serde

org.nd4j.linalg.ops.transforms - package org.nd4j.linalg.ops.transforms

org.nd4j.linalg.profiler - package org.nd4j.linalg.profiler

org.nd4j.linalg.profiler.data - package org.nd4j.linalg.profiler.data

org.nd4j.linalg.profiler.data.primitives - package org.nd4j.linalg.profiler.data.primitives

org.nd4j.linalg.schedule - package org.nd4j.linalg.schedule

org.nd4j.linalg.string - package org.nd4j.linalg.string

org.nd4j.linalg.util - package org.nd4j.linalg.util

org.nd4j.linalg.workspace - package org.nd4j.linalg.workspace

org.nd4j.list - package org.nd4j.list

org.nd4j.serde.base64 - package org.nd4j.serde.base64

org.nd4j.serde.binary - package org.nd4j.serde.binary

org.nd4j.serde.jackson.shaded - package org.nd4j.serde.jackson.shaded

org.nd4j.serde.json - package org.nd4j.serde.json

org.nd4j.systeminfo - package org.nd4j.systeminfo

org.nd4j.versioncheck - package org.nd4j.versioncheck

org.nd4j.weightinit - package org.nd4j.weightinit

org.nd4j.weightinit.impl - package org.nd4j.weightinit.impl

org.tensorflow.distruntime - package org.tensorflow.distruntime

org.tensorflow.framework - package org.tensorflow.framework

org.tensorflow.util - package org.tensorflow.util

ORIGINAL_VARIABLE_NODE_ID_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

originalBuffer - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

originalDataBuffer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Original DataBuffer.

originalDataBuffer() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Original DataBuffer.

originalOffset - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

originalOffset() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Returns the offset of the buffer relative to originalDataBuffer

originalOffset() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns the offset of the buffer relative to originalDataBuffer

originalOffset() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

originalOffset() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the start of where the ndarray is for the original data buffer

ormqr(char, char, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

ormqr(char, char, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

OrthogonalDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl

OrthogonalDistribution(double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

OS_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment

otherRequiredVariables(SameDiff) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

Return any requested variables that are not part of the evaluations

OUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

OUT_OF_RANGE - org.tensorflow.framework.Code

Operation tried to iterate past the valid input range.

OUT_OF_RANGE_VALUE - Static variable in enum org.tensorflow.framework.Code

Operation tried to iterate past the valid input range.

OutAct - Enum in org.nd4j.enums

Activations

OutAndGrad - Class in org.nd4j.autodiff.samediff.api

OutAndGrad() - Constructor for class org.nd4j.autodiff.samediff.api.OutAndGrad

outcome() - Method in interface org.nd4j.linalg.dataset.api.DataSet

outcome() - Method in class org.nd4j.linalg.dataset.DataSet

OUTER_FRAME - Static variable in class org.nd4j.autodiff.samediff.internal.AbstractSession

All execution in Samediff happens in a frame...

output() - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Do inference and return the results

output() - Method in class org.nd4j.autodiff.samediff.SameDiff

Set up for an inference operation using OutputConfig.

output() - Method in interface org.nd4j.linalg.api.ops.LossFunction

The guess

output(int) - Method in class org.nd4j.graph.FlatNode

output(String...) - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Add required outputs

output(String...) - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Add required outputs

output(List<String>, Map<String, T>, Map<String, SDValue>, MultiDataSet, Collection<String>, List<Listener>, At) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get the output of the session - i.e., perform inference/forward pass and return the outputs for the specified variables

output(List<String>, Map<String, T>, MultiDataSet, Collection<String>, List<Listener>, At) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Get the output of the session - i.e., perform inference/forward pass and return the outputs for the specified variables

output(SDVariable...) - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Add required outputs

output(SDVariable...) - Method in class org.nd4j.autodiff.samediff.config.OutputConfig

Add required outputs

output(DataSetIterator, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.output(DataSetIterator, List, String...).

output(DataSetIterator, List<Listener>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference on a network with a single input.
For example, if the variable to infer was called "softmax" you would use:

output(MultiDataSetIterator, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.output(MultiDataSetIterator, List, String...).

output(MultiDataSetIterator, List<Listener>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Perform inference.

Example: classifier inference
Predictions variable name: "softmaxOutput"
Evaluations to perform: Evaluation
Data: single output MultiDataSets
Code:

output(MultiDataSet, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do a single batch inference on a network.
For example, if the variable to infer was called "softmax" you would use:

output(DataSet, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do a single batch inference on a network with a single input.
For example, if the variable to infer was called "softmax" you would use:

output(Map<String, INDArray>, List<String>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for the given variables for a single batch.

output(Map<String, INDArray>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for the given variables for a single batch.

output(Map<String, INDArray>, List<Listener>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for the given variables for a single batch.

output(Map<String, INDArray>, Map<String, SDValue>, List<Listener>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for the given variables for a single batch.

OUTPUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

OUTPUT_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInfo

OUTPUT_FIELD_NUMBER - Static variable in class onnx.Onnx.FunctionProto

OUTPUT_FIELD_NUMBER - Static variable in class onnx.Onnx.GraphProto

OUTPUT_FIELD_NUMBER - Static variable in class onnx.Onnx.NodeProto

OUTPUT_FIELD_NUMBER - Static variable in class onnx.OnnxMl.FunctionProto

OUTPUT_FIELD_NUMBER - Static variable in class onnx.OnnxMl.GraphProto

OUTPUT_FIELD_NUMBER - Static variable in class onnx.OnnxMl.NodeProto

OUTPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

OUTPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

OUTPUT_NUM_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunOptions

OUTPUT_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInput

OUTPUT_SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebugTensorWatch

OUTPUT_TENSOR - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

OUTPUT_TENSOR = 7;

OUTPUT_TENSOR_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

OUTPUT_TENSOR = 7;

OutputAdapter<T> - Interface in org.nd4j.adapters

outputAll() - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Add all variables as required outputs

outputAll(Map<String, INDArray>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for all variables for a single batch.

OUTPUTARG - org.nd4j.ir.MapperNamespace.OpListType

OUTPUTARG = 5;

OUTPUTARG_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.OpListType

OUTPUTARG = 5;

outputArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

outputArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp

outputArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

outputAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

outputBatches(DataSetIterator, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.output(DataSetIterator, String...), but without the concatenation of batches.

outputBatches(DataSetIterator, List<Listener>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.output(DataSetIterator, List, String...), but without the concatenation of batches.

outputBatches(MultiDataSetIterator, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.outputBatches(MultiDataSetIterator, List, String...).

outputBatches(MultiDataSetIterator, List<Listener>, String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Perform inference.

Example: classifier inference
Predictions variable name: "softmaxOutput"
Evaluations to perform: Evaluation
Data: single output MultiDataSets
Code:

OUTPUTBOOLEANNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

OutputConfig - Class in org.nd4j.autodiff.samediff.config

OutputConfig(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.config.OutputConfig

outputCount - Variable in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

OUTPUTDATATYPENAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

OUTPUTDOUBLENAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

OUTPUTFLOATNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

outputInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

OUTPUTINTNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

outputLength() - Method in class org.nd4j.graph.FlatNode

outputMode() - Method in class org.nd4j.graph.FlatConfiguration

OutputMode - Class in org.nd4j.graph

OutputMode - Enum in org.nd4j.autodiff.execution.conf

outputName - Variable in class org.nd4j.autodiff.samediff.internal.InferenceSession.ReqOutputDep

outputNames(int) - Method in class org.nd4j.graph.FlatNode

outputNamesLength() - Method in class org.nd4j.graph.FlatNode

outputNamesVector() - Method in class org.nd4j.graph.FlatNode

outputNamesVector(StringVector) - Method in class org.nd4j.graph.FlatNode

outputOfOp - Variable in class org.nd4j.autodiff.samediff.internal.Variable

outputOfOp() - Method in class org.nd4j.graph.UIVariable

outputOfOpAsByteBuffer() - Method in class org.nd4j.graph.UIVariable

outputOfOpInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIVariable

outputs() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

outputs() - Method in class org.nd4j.autodiff.samediff.SameDiff

Outputs are the names of the predictions of the network.

outputs() - Method in class org.nd4j.autodiff.samediff.transform.SubGraph

outputs(int) - Method in class org.nd4j.graph.FlatGraph

outputs(int) - Method in class org.nd4j.graph.UIGraphStructure

outputs(int) - Method in class org.nd4j.graph.UIOp

outputs(IntPair, int) - Method in class org.nd4j.graph.FlatGraph

OUTPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SignatureDef

outputShapes - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder

outputSingle() - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Do inference and return the results for the single output Only works if exactly one output is specified

outputSingle(Map<String, INDArray>, String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for a single variable for a single batch.

outputSize(long, long, long, long, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution

outputsLength() - Method in class org.nd4j.graph.FlatGraph

outputsLength() - Method in class org.nd4j.graph.UIGraphStructure

outputsLength() - Method in class org.nd4j.graph.UIOp

outputsOfOp - Variable in class org.nd4j.autodiff.samediff.internal.SameDiffOp

outputsToArray(List<String>) - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

OUTPUTSTRINGATTRNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

outputsVector() - Method in class org.nd4j.graph.FlatGraph

outputsVector() - Method in class org.nd4j.graph.UIGraphStructure

outputsVector() - Method in class org.nd4j.graph.UIOp

outputsVector(StringVector) - Method in class org.nd4j.graph.UIGraphStructure

outputsVector(StringVector) - Method in class org.nd4j.graph.UIOp

outputsVector(IntPair.Vector) - Method in class org.nd4j.graph.FlatGraph

OUTPUTTENSORNAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

outputType - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

outputType - Variable in class org.nd4j.linalg.api.ops.impl.shape.Create

outputType - Variable in class org.nd4j.linalg.api.ops.impl.shape.OnesAs

outputType - Variable in class org.nd4j.linalg.api.ops.impl.shape.OnesLike

outputType - Variable in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

outputTypes(int) - Method in class org.nd4j.graph.FlatNode

outputTypesAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

outputTypesInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

outputTypesLength() - Method in class org.nd4j.graph.FlatNode

outputTypesVector() - Method in class org.nd4j.graph.FlatNode

outputTypesVector(ByteVector) - Method in class org.nd4j.graph.FlatNode

outputValue() - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Do inference and return the results

OUTPUTVALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

outputValues(Map<String, SDValue>, List<String>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for the given variables for a single batch.

outputValues(Map<String, SDValue>, List<Listener>, List<String>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Do inference for the given variables for a single batch.

outputVariable() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

outputVariables - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

outputVariables() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Return the output variables for this differential function.

outputVariables() - Method in class org.nd4j.linalg.api.ops.custom.Invoke

outputVariables() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

outputVariables() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

outputVariables() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond

outputVariables() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

outputVariables() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

outputVariables(String) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Return the output functions for this differential function.

outputVariables(String) - Method in class org.nd4j.linalg.api.ops.BaseOp

outputVariables(String) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

outputVariables(String) - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

outputVariablesNames() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

outputVector() - Method in class org.nd4j.graph.FlatNode

outputVector(IntVector) - Method in class org.nd4j.graph.FlatNode

outSize(int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.OldConvolution

The out size for a convolution

outSize(long, long, long, long, boolean) - Static method in class org.nd4j.linalg.convolution.OldConvolution

outSize(long, long, long, long, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution

Deprecated.

OVER_TIME - org.nd4j.linalg.api.memory.enums.LearningPolicy

This policy means - we learn during multiple cycles, and allocate after WorkspaceConfiguration.cyclesBeforeInitialization or after manual call to MemoryWorkspace.initializeWorkspace

OVERALLOCATE - org.nd4j.linalg.api.memory.enums.AllocationPolicy

This policy means - we'll be overallocating memory, following WorkspaceConfiguration.overallocationLimit

overallocationLimit - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

If OVERALLOCATION policy is set, memory will be overallocated in addition to initialSize of learned size

OVERRIDE - org.nd4j.ir.MapperNamespace.VariableResolutionType

OVERRIDE = 1;

OVERRIDE_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

OVERRIDE = 1;

overrideMinorityDefault() - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingPreProcessor

Will change the default minority label from "1" to "0" and correspondingly the majority class from "0" to "1"

overrideMinorityDefault(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingMultiDataSetPreProcessor

Will change the default minority label from "1" to "0" and correspondingly the majority class from "0" to "1" for the label at the index specified

ownName - Variable in class org.nd4j.autodiff.functions.DifferentialFunction

ownNameSetWithDefault - Variable in class org.nd4j.autodiff.functions.DifferentialFunction

OYXI - org.nd4j.enums.WeightsFormat

P

P - org.nd4j.autodiff.listeners.profiler.data.Phase

pack(Map<String, INDArray>) - Static method in class org.nd4j.autodiff.samediff.config.ExecutionResult

pad(INDArray, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.pad(INDArray, INDArray).

pad(INDArray, @lombok.NonNull int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.pad(INDArray, INDArray).

pad(INDArray, @lombok.NonNull int[][], Pad.Mode, double) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.pad(INDArray, INDArray, Mode, double).

pad(INDArray, @lombok.NonNull int[], Pad.Mode, double) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.pad(INDArray, INDArray, Mode, double), uses padWidth for all dimensions.

pad(INDArray, INDArray, Pad.Mode, double) - Static method in class org.nd4j.linalg.factory.Nd4j

Pad the given ndarray to the size along each dimension.

pad(String, SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Padding operation

pad(String, SDVariable, SDVariable, Mode, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Pads an image according to the given padding type

pad(String, SDVariable, SDVariable, PadMode, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Padding operation

pad(SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Padding operation

pad(SDVariable, SDVariable, Mode, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Pads an image according to the given padding type

pad(SDVariable, SDVariable, PadMode, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Padding operation

pad(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.pad(INDArray, INDArray, Mode, double) with zero padding (zeros for padValue).

pad(INDArray, INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDNN

Padding operation

pad(INDArray, INDArray, Mode, double) - Method in class org.nd4j.linalg.factory.ops.NDImage

Pads an image according to the given padding type

pad(INDArray, INDArray, PadMode, double) - Method in class org.nd4j.linalg.factory.ops.NDNN

Padding operation

Pad - Class in org.nd4j.linalg.api.ops.impl.transforms

Pad() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad(INDArray, INDArray, PadMode, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad(INDArray, INDArray, INDArray, PadMode, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad(INDArray, INDArray, INDArray, Pad.Mode, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad(SameDiff, SDVariable, SDVariable, Mode, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad(SameDiff, SDVariable, SDVariable, PadMode, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad(SameDiff, SDVariable, SDVariable, Pad.Mode, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad(INDArray, INDArray, Mode, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pad

Pad.Mode - Enum in org.nd4j.linalg.api.ops.impl.transforms

padding - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

padding - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

PADDING_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInfo

PaddingMode - Enum in org.nd4j.linalg.api.ops.impl.layers.convolution.config

PadMode - Enum in org.nd4j.enums

Padding format

PagedPointer - Class in org.nd4j.linalg.api.memory.pointers

PagedPointer(long) - Constructor for class org.nd4j.linalg.api.memory.pointers.PagedPointer

PagedPointer(Pointer) - Constructor for class org.nd4j.linalg.api.memory.pointers.PagedPointer

PagedPointer(Pointer, long) - Constructor for class org.nd4j.linalg.api.memory.pointers.PagedPointer

PagedPointer(Pointer, long, long) - Constructor for class org.nd4j.linalg.api.memory.pointers.PagedPointer

PAIRWISE - org.nd4j.linalg.api.ops.Op.Type

PAIRWISE - Static variable in class org.nd4j.graph.OpType

PAIRWISE_BOOL - org.nd4j.linalg.api.ops.Op.Type

PAIRWISE_BOOL - Static variable in class org.nd4j.graph.OpType

pairwiseBoolOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

pairwiseOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

PARALLEL_ITERATIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

ParallelConcat - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

ParallelConcat() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat

ParallelDataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator

ParallelMultiDataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator

ParallelStack - Class in org.nd4j.linalg.api.ops.impl.shape

ParallelStack() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ParallelStack

ParallelStack(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ParallelStack

ParallelStack(INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ParallelStack

PARAMETER_GRADIENTS - org.nd4j.autodiff.listeners.impl.UIListener.HistogramType

PARAMETER_MAP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

PARAMETER_UPDATES - org.nd4j.autodiff.listeners.impl.UIListener.HistogramType

PARAMETERS - org.nd4j.autodiff.listeners.impl.UIListener.HistogramType

paramName() - Method in class org.nd4j.graph.UpdaterState

paramNameAsByteBuffer() - Method in class org.nd4j.graph.UpdaterState

paramNameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UpdaterState

parentFrame - Variable in class org.nd4j.autodiff.samediff.internal.InferenceSession.Dep

parentWorkspace - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

parentWorkspace - Variable in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.AttributeProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.FunctionProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.GraphProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.ModelProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.NodeProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.OperatorSetIdProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.SparseTensorProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.StringStringEntryProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TensorAnnotation

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TensorProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TensorProto.Segment

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TensorShapeProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TrainingInfoProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.Map

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.Optional

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TypeProto

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.Sequence

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.Tensor

parseDelimitedFrom(InputStream) - Static method in class onnx.Onnx.ValueInfoProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.AttributeProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.FunctionProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.GraphProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.ModelProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.NodeProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.SparseTensorProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TensorAnnotation

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TensorProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TensorShapeProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Map

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxMl.ValueInfoProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxOperators.OperatorProto

parseDelimitedFrom(InputStream) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseDelimitedFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ClusterDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.JobDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ResetRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ResetResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.ServerDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.StepSequence

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.TraceOpts

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.TracingRequest

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.distruntime.TracingResponse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.AllocationDescription

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.AllocationRecord

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDefs

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.AssetFileDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.AttrValue

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CallableOptions

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CondContextDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ConfigProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CostGraphDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.DebugOptions

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.DeviceAttributes

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.DeviceLocality

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.DeviceStepStats

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.FunctionDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GPUOptions

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GradientDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphOptions

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.HistogramProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.InterconnectLink

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.KernelDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.LocalLinks

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogStep

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryStats

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.MetaGraphDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.NameAttrList

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.NamedTensorProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.NodeDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.NodeExecStats

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.NodeOutput

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.OpDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.OpDeprecation

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.OpList

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.OptimizerOptions

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ReaderBaseState

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.RewriterConfig

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.RPCOptions

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.RunMetadata

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.RunOptions

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.SavedModel

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.SignatureDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.StepStats

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.Summary.Audio

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.Summary.Image

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.Summary

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.Summary.Value

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.SummaryDescription

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.SummaryMetadata

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.TensorConnection

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.TensorDescription

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.TensorInfo

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.TensorProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.TensorShapeProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.TensorSliceProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.ValuesDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.VariableDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.VersionDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.framework.WhileContextDef

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.util.BundleEntryProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.util.BundleHeaderProto

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.util.SaverDef

parseDelimitedFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseDelimitedFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseDelimitedFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseDelimitedFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseDelimitedFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseDelimitedFrom(InputStream) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseDelimitedFrom(InputStream) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseDelimitedFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseDelimitedFrom(InputStream) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.AttributeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.FunctionProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.GraphProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.ModelProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.NodeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.OperatorSetIdProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.SparseTensorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.StringStringEntryProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorAnnotation

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto.Segment

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TrainingInfoProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Map

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Optional

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Sequence

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Tensor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.ValueInfoProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.AttributeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.FunctionProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.GraphProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ModelProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.NodeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.SparseTensorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorAnnotation

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Map

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ValueInfoProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ClusterDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.JobDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ServerDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.StepSequence

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TraceOpts

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationDescription

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationRecord

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDefs

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AssetFileDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CallableOptions

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CondContextDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugOptions

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceAttributes

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceLocality

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceStepStats

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GradientDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphOptions

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.HistogramProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.InterconnectLink

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.LocalLinks

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogStep

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryStats

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NameAttrList

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NamedTensorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeExecStats

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeOutput

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDeprecation

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpList

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OptimizerOptions

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ReaderBaseState

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RPCOptions

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunMetadata

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SavedModel

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SignatureDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.StepStats

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Audio

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Image

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Value

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryDescription

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorConnection

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorDescription

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ValuesDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariableDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VersionDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.WhileContextDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleEntryProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleHeaderProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.SaverDef

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(byte[]) - Static method in class onnx.Onnx.AttributeProto

parseFrom(byte[]) - Static method in class onnx.Onnx.FunctionProto

parseFrom(byte[]) - Static method in class onnx.Onnx.GraphProto

parseFrom(byte[]) - Static method in class onnx.Onnx.ModelProto

parseFrom(byte[]) - Static method in class onnx.Onnx.NodeProto

parseFrom(byte[]) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(byte[]) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(byte[]) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(byte[]) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(byte[]) - Static method in class onnx.Onnx.TensorProto

parseFrom(byte[]) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(byte[]) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(byte[]) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(byte[]) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(byte[]) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(byte[]) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(byte[]) - Static method in class onnx.Onnx.TypeProto

parseFrom(byte[]) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(byte[]) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(byte[]) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(byte[]) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(byte[]) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(byte[]) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(byte[]) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(byte[]) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(byte[]) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(byte[]) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(byte[]) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(byte[]) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(byte[]) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(byte[]) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(byte[]) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(byte[]) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(byte[]) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(byte[]) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(byte[]) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(byte[]) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(byte[]) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(byte[]) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(byte[]) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(byte[]) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(byte[]) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(byte[]) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(byte[]) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(byte[]) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(byte[]) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(byte[]) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(byte[]) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(byte[]) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(byte[]) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(byte[]) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(byte[]) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(byte[]) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(byte[]) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(byte[]) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(byte[]) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(byte[]) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(byte[]) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(byte[]) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(byte[]) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(byte[]) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(byte[]) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(byte[]) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(byte[]) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(byte[]) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(byte[]) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(byte[]) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.OpDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(byte[]) - Static method in class org.tensorflow.framework.OpList

parseFrom(byte[]) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(byte[]) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(byte[]) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(byte[]) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(byte[]) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(byte[]) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(byte[]) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(byte[]) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(byte[]) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(byte[]) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(byte[]) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.StepStats

parseFrom(byte[]) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(byte[]) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(byte[]) - Static method in class org.tensorflow.framework.Summary

parseFrom(byte[]) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(byte[]) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(byte[]) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(byte[]) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(byte[]) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(byte[]) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(byte[]) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(byte[]) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(byte[]) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(byte[]) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(byte[]) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(byte[]) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(byte[]) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(byte[]) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(byte[]) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(byte[]) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(byte[]) - Static method in class org.tensorflow.util.SaverDef

parseFrom(byte[]) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(byte[]) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(byte[]) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(byte[]) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(byte[]) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(byte[]) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(byte[]) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(byte[]) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(byte[]) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.AttributeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.FunctionProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.GraphProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.ModelProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.NodeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpList

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.StepStats

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.util.SaverDef

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(byte[], ExtensionRegistryLite) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(InputStream) - Static method in class onnx.Onnx.AttributeProto

parseFrom(InputStream) - Static method in class onnx.Onnx.FunctionProto

parseFrom(InputStream) - Static method in class onnx.Onnx.GraphProto

parseFrom(InputStream) - Static method in class onnx.Onnx.ModelProto

parseFrom(InputStream) - Static method in class onnx.Onnx.NodeProto

parseFrom(InputStream) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(InputStream) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(InputStream) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(InputStream) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(InputStream) - Static method in class onnx.Onnx.TensorProto

parseFrom(InputStream) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(InputStream) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(InputStream) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(InputStream) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(InputStream) - Static method in class onnx.Onnx.TypeProto

parseFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(InputStream) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(InputStream) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(InputStream) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(InputStream) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(InputStream) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(InputStream) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(InputStream) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(InputStream) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(InputStream) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(InputStream) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(InputStream) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(InputStream) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(InputStream) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(InputStream) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(InputStream) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(InputStream) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(InputStream) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(InputStream) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(InputStream) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(InputStream) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(InputStream) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(InputStream) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(InputStream) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(InputStream) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(InputStream) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(InputStream) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(InputStream) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(InputStream) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(InputStream) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(InputStream) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(InputStream) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(InputStream) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(InputStream) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(InputStream) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(InputStream) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.OpDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(InputStream) - Static method in class org.tensorflow.framework.OpList

parseFrom(InputStream) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(InputStream) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(InputStream) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(InputStream) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(InputStream) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(InputStream) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(InputStream) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(InputStream) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(InputStream) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(InputStream) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(InputStream) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.StepStats

parseFrom(InputStream) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(InputStream) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(InputStream) - Static method in class org.tensorflow.framework.Summary

parseFrom(InputStream) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(InputStream) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(InputStream) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(InputStream) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(InputStream) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(InputStream) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(InputStream) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(InputStream) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(InputStream) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(InputStream) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(InputStream) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(InputStream) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(InputStream) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(InputStream) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(InputStream) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(InputStream) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(InputStream) - Static method in class org.tensorflow.util.SaverDef

parseFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(InputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(InputStream) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(InputStream) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(InputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(InputStream) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.AttributeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.FunctionProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.GraphProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.ModelProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.NodeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpList

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.StepStats

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.SaverDef

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.AttributeProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.FunctionProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.GraphProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.ModelProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.NodeProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TensorProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TypeProto

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(ByteBuffer) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(ByteBuffer) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(ByteBuffer) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(ByteBuffer) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(ByteBuffer) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.OpDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.OpList

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.StepStats

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.Summary

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(ByteBuffer) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(ByteBuffer) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(ByteBuffer) - Static method in class org.tensorflow.util.SaverDef

parseFrom(ByteBuffer) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(ByteBuffer) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(ByteBuffer) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(ByteBuffer) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(ByteBuffer) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(ByteBuffer) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(ByteBuffer) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(ByteBuffer) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(ByteBuffer) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.AttributeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.FunctionProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.GraphProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.ModelProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.NodeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpList

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.StepStats

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.util.SaverDef

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(ByteString) - Static method in class onnx.Onnx.AttributeProto

parseFrom(ByteString) - Static method in class onnx.Onnx.FunctionProto

parseFrom(ByteString) - Static method in class onnx.Onnx.GraphProto

parseFrom(ByteString) - Static method in class onnx.Onnx.ModelProto

parseFrom(ByteString) - Static method in class onnx.Onnx.NodeProto

parseFrom(ByteString) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(ByteString) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(ByteString) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(ByteString) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(ByteString) - Static method in class onnx.Onnx.TensorProto

parseFrom(ByteString) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(ByteString) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(ByteString) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(ByteString) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(ByteString) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(ByteString) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(ByteString) - Static method in class onnx.Onnx.TypeProto

parseFrom(ByteString) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(ByteString) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(ByteString) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(ByteString) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(ByteString) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(ByteString) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(ByteString) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(ByteString) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(ByteString) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(ByteString) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(ByteString) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(ByteString) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(ByteString) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(ByteString) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(ByteString) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(ByteString) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(ByteString) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(ByteString) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(ByteString) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(ByteString) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(ByteString) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(ByteString) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(ByteString) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(ByteString) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(ByteString) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(ByteString) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(ByteString) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(ByteString) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(ByteString) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(ByteString) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(ByteString) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(ByteString) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(ByteString) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(ByteString) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(ByteString) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(ByteString) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(ByteString) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(ByteString) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(ByteString) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(ByteString) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(ByteString) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(ByteString) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(ByteString) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(ByteString) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(ByteString) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(ByteString) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(ByteString) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(ByteString) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(ByteString) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(ByteString) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.OpDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(ByteString) - Static method in class org.tensorflow.framework.OpList

parseFrom(ByteString) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(ByteString) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(ByteString) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(ByteString) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(ByteString) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(ByteString) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(ByteString) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(ByteString) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(ByteString) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(ByteString) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(ByteString) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.StepStats

parseFrom(ByteString) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(ByteString) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(ByteString) - Static method in class org.tensorflow.framework.Summary

parseFrom(ByteString) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(ByteString) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(ByteString) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(ByteString) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(ByteString) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(ByteString) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(ByteString) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(ByteString) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(ByteString) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(ByteString) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(ByteString) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(ByteString) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(ByteString) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(ByteString) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(ByteString) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(ByteString) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(ByteString) - Static method in class org.tensorflow.util.SaverDef

parseFrom(ByteString) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(ByteString) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(ByteString) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(ByteString) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(ByteString) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(ByteString) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(ByteString) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(ByteString) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(ByteString) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.AttributeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.FunctionProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.GraphProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.ModelProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.NodeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpList

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.StepStats

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.util.SaverDef

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.AttributeProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.FunctionProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.GraphProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.ModelProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.NodeProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TensorProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TypeProto

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(CodedInputStream) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(CodedInputStream) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(CodedInputStream) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(CodedInputStream) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(CodedInputStream) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.OpDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.OpList

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.StepStats

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.Summary

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(CodedInputStream) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(CodedInputStream) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(CodedInputStream) - Static method in class org.tensorflow.util.SaverDef

parseFrom(CodedInputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(CodedInputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(CodedInputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(CodedInputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(CodedInputStream) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(CodedInputStream) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(CodedInputStream) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(CodedInputStream) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(CodedInputStream) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.AttributeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.FunctionProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.GraphProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.ModelProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.NodeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.OperatorSetIdProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.SparseTensorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.StringStringEntryProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorAnnotation

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorProto.Segment

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TensorShapeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TrainingInfoProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Map

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Optional

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Sequence

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.SparseTensor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.TypeProto.Tensor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.Onnx.ValueInfoProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.AttributeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.FunctionProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.GraphProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ModelProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.NodeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.OperatorSetIdProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.SparseTensorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.StringStringEntryProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorAnnotation

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorProto.Segment

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TensorShapeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TrainingInfoProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Map

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Opaque

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Optional

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Sequence

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.TypeProto.Tensor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxMl.ValueInfoProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class onnx.OnnxOperators.OperatorSetProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ClusterDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExecutorOpts

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStatusResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.JobDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LabeledStepStats

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.LoggingResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvBufResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ResetResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunCallableResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunGraphResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.RunStepResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ServerDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.StepSequence

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TraceOpts

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.TracingResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationDescription

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationRecord

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Arg

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Attr

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDefs

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AssetFileDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue.ListValue

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValue

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AutoParallelOptions

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CallableOptions

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CollectionDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CondContextDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ControlFlowContextDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef.Node

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFile

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugOptions

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugTensorWatch

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceAttributes

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceLocality

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceStepStats

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionDefLibrary

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GPUOptions

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GradientDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphOptions

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.HistogramProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.InterconnectLink

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.LocalLinks

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogStep

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MemoryStats

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NameAttrList

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NamedTensorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeExecStats

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeOutput

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.ArgDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef.AttrDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDeprecation

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpList

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OptimizerOptions

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.QueueRunnerDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ReaderBaseState

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ResourceHandleProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfig

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RPCOptions

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunMetadata

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions.Experimental

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RunOptions

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SavedModel

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SignatureDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.StepStats

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Audio

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Image

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.Summary.Value

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryDescription

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorConnection

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorDescription

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorInfo

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ValuesDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariableDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariantTensorDataProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VersionDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.framework.WhileContextDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleEntryProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.BundleHeaderProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.IteratorStateMetadata

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.util.SaverDef

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parser() - Static method in class onnx.Onnx.AttributeProto

parser() - Static method in class onnx.Onnx.FunctionProto

parser() - Static method in class onnx.Onnx.GraphProto

parser() - Static method in class onnx.Onnx.ModelProto

parser() - Static method in class onnx.Onnx.NodeProto

parser() - Static method in class onnx.Onnx.OperatorSetIdProto

parser() - Static method in class onnx.Onnx.SparseTensorProto

parser() - Static method in class onnx.Onnx.StringStringEntryProto

parser() - Static method in class onnx.Onnx.TensorAnnotation

parser() - Static method in class onnx.Onnx.TensorProto

parser() - Static method in class onnx.Onnx.TensorProto.Segment

parser() - Static method in class onnx.Onnx.TensorShapeProto.Dimension

parser() - Static method in class onnx.Onnx.TensorShapeProto

parser() - Static method in class onnx.Onnx.TrainingInfoProto

parser() - Static method in class onnx.Onnx.TypeProto.Map

parser() - Static method in class onnx.Onnx.TypeProto.Optional

parser() - Static method in class onnx.Onnx.TypeProto

parser() - Static method in class onnx.Onnx.TypeProto.Sequence

parser() - Static method in class onnx.Onnx.TypeProto.SparseTensor

parser() - Static method in class onnx.Onnx.TypeProto.Tensor

parser() - Static method in class onnx.Onnx.ValueInfoProto

parser() - Static method in class onnx.OnnxMl.AttributeProto

parser() - Static method in class onnx.OnnxMl.FunctionProto

parser() - Static method in class onnx.OnnxMl.GraphProto

parser() - Static method in class onnx.OnnxMl.ModelProto

parser() - Static method in class onnx.OnnxMl.NodeProto

parser() - Static method in class onnx.OnnxMl.OperatorSetIdProto

parser() - Static method in class onnx.OnnxMl.SparseTensorProto

parser() - Static method in class onnx.OnnxMl.StringStringEntryProto

parser() - Static method in class onnx.OnnxMl.TensorAnnotation

parser() - Static method in class onnx.OnnxMl.TensorProto

parser() - Static method in class onnx.OnnxMl.TensorProto.Segment

parser() - Static method in class onnx.OnnxMl.TensorShapeProto.Dimension

parser() - Static method in class onnx.OnnxMl.TensorShapeProto

parser() - Static method in class onnx.OnnxMl.TrainingInfoProto

parser() - Static method in class onnx.OnnxMl.TypeProto.Map

parser() - Static method in class onnx.OnnxMl.TypeProto.Opaque

parser() - Static method in class onnx.OnnxMl.TypeProto.Optional

parser() - Static method in class onnx.OnnxMl.TypeProto

parser() - Static method in class onnx.OnnxMl.TypeProto.Sequence

parser() - Static method in class onnx.OnnxMl.TypeProto.SparseTensor

parser() - Static method in class onnx.OnnxMl.TypeProto.Tensor

parser() - Static method in class onnx.OnnxMl.ValueInfoProto

parser() - Static method in class onnx.OnnxOperators.OperatorProto

parser() - Static method in class onnx.OnnxOperators.OperatorSetProto

parser() - Static method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

parser() - Static method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

parser() - Static method in class org.nd4j.ir.MapperNamespace.MappingRule

parser() - Static method in class org.nd4j.ir.MapperNamespace.TransformerArgs

parser() - Static method in class org.nd4j.ir.OpNamespace.ArgDescriptor

parser() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptor

parser() - Static method in class org.nd4j.ir.OpNamespace.OpDescriptorList

parser() - Static method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

parser() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto

parser() - Static method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

parser() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

parser() - Static method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

parser() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto

parser() - Static method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

parser() - Static method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

parser() - Static method in class org.tensorflow.distruntime.CleanupAllRequest

parser() - Static method in class org.tensorflow.distruntime.CleanupAllResponse

parser() - Static method in class org.tensorflow.distruntime.CleanupGraphRequest

parser() - Static method in class org.tensorflow.distruntime.CleanupGraphResponse

parser() - Static method in class org.tensorflow.distruntime.CloseSessionRequest

parser() - Static method in class org.tensorflow.distruntime.CloseSessionResponse

parser() - Static method in class org.tensorflow.distruntime.ClusterDef

parser() - Static method in class org.tensorflow.distruntime.CompleteGroupRequest

parser() - Static method in class org.tensorflow.distruntime.CompleteGroupResponse

parser() - Static method in class org.tensorflow.distruntime.CompleteInstanceRequest

parser() - Static method in class org.tensorflow.distruntime.CompleteInstanceResponse

parser() - Static method in class org.tensorflow.distruntime.CreateSessionRequest

parser() - Static method in class org.tensorflow.distruntime.CreateSessionResponse

parser() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

parser() - Static method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

parser() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

parser() - Static method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

parser() - Static method in class org.tensorflow.distruntime.DeregisterGraphRequest

parser() - Static method in class org.tensorflow.distruntime.DeregisterGraphResponse

parser() - Static method in class org.tensorflow.distruntime.ExecutorOpts

parser() - Static method in class org.tensorflow.distruntime.ExtendSessionRequest

parser() - Static method in class org.tensorflow.distruntime.ExtendSessionResponse

parser() - Static method in class org.tensorflow.distruntime.GetStatusRequest

parser() - Static method in class org.tensorflow.distruntime.GetStatusResponse

parser() - Static method in class org.tensorflow.distruntime.GetStepSequenceRequest

parser() - Static method in class org.tensorflow.distruntime.GetStepSequenceResponse

parser() - Static method in class org.tensorflow.distruntime.JobDef

parser() - Static method in class org.tensorflow.distruntime.LabeledStepStats

parser() - Static method in class org.tensorflow.distruntime.ListDevicesRequest

parser() - Static method in class org.tensorflow.distruntime.ListDevicesResponse

parser() - Static method in class org.tensorflow.distruntime.LoggingRequest

parser() - Static method in class org.tensorflow.distruntime.LoggingResponse

parser() - Static method in class org.tensorflow.distruntime.MakeCallableRequest

parser() - Static method in class org.tensorflow.distruntime.MakeCallableResponse

parser() - Static method in class org.tensorflow.distruntime.PartialRunSetupRequest

parser() - Static method in class org.tensorflow.distruntime.PartialRunSetupResponse

parser() - Static method in class org.tensorflow.distruntime.RecvBufRequest

parser() - Static method in class org.tensorflow.distruntime.RecvBufResponse

parser() - Static method in class org.tensorflow.distruntime.RecvTensorRequest

parser() - Static method in class org.tensorflow.distruntime.RecvTensorResponse

parser() - Static method in class org.tensorflow.distruntime.RegisterGraphRequest

parser() - Static method in class org.tensorflow.distruntime.RegisterGraphResponse

parser() - Static method in class org.tensorflow.distruntime.ReleaseCallableRequest

parser() - Static method in class org.tensorflow.distruntime.ReleaseCallableResponse

parser() - Static method in class org.tensorflow.distruntime.ResetRequest

parser() - Static method in class org.tensorflow.distruntime.ResetResponse

parser() - Static method in class org.tensorflow.distruntime.RunCallableRequest

parser() - Static method in class org.tensorflow.distruntime.RunCallableResponse

parser() - Static method in class org.tensorflow.distruntime.RunGraphRequest

parser() - Static method in class org.tensorflow.distruntime.RunGraphResponse

parser() - Static method in class org.tensorflow.distruntime.RunStepRequest

parser() - Static method in class org.tensorflow.distruntime.RunStepResponse

parser() - Static method in class org.tensorflow.distruntime.ServerDef

parser() - Static method in class org.tensorflow.distruntime.StepSequence

parser() - Static method in class org.tensorflow.distruntime.TraceOpts

parser() - Static method in class org.tensorflow.distruntime.TracingRequest

parser() - Static method in class org.tensorflow.distruntime.TracingResponse

parser() - Static method in class org.tensorflow.framework.AllocationDescription

parser() - Static method in class org.tensorflow.framework.AllocationRecord

parser() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed

parser() - Static method in class org.tensorflow.framework.ApiDef.Arg

parser() - Static method in class org.tensorflow.framework.ApiDef.Attr

parser() - Static method in class org.tensorflow.framework.ApiDef.Endpoint

parser() - Static method in class org.tensorflow.framework.ApiDef

parser() - Static method in class org.tensorflow.framework.ApiDefs

parser() - Static method in class org.tensorflow.framework.AssetFileDef

parser() - Static method in class org.tensorflow.framework.AttrValue.ListValue

parser() - Static method in class org.tensorflow.framework.AttrValue

parser() - Static method in class org.tensorflow.framework.AutoParallelOptions

parser() - Static method in class org.tensorflow.framework.CallableOptions

parser() - Static method in class org.tensorflow.framework.CollectionDef.AnyList

parser() - Static method in class org.tensorflow.framework.CollectionDef.BytesList

parser() - Static method in class org.tensorflow.framework.CollectionDef.FloatList

parser() - Static method in class org.tensorflow.framework.CollectionDef.Int64List

parser() - Static method in class org.tensorflow.framework.CollectionDef.NodeList

parser() - Static method in class org.tensorflow.framework.CollectionDef

parser() - Static method in class org.tensorflow.framework.CondContextDef

parser() - Static method in class org.tensorflow.framework.ConfigProto.Experimental

parser() - Static method in class org.tensorflow.framework.ConfigProto

parser() - Static method in class org.tensorflow.framework.ControlFlowContextDef

parser() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

parser() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

parser() - Static method in class org.tensorflow.framework.CostGraphDef.Node

parser() - Static method in class org.tensorflow.framework.CostGraphDef

parser() - Static method in class org.tensorflow.framework.CriticalSectionDef

parser() - Static method in class org.tensorflow.framework.CriticalSectionExecutionDef

parser() - Static method in class org.tensorflow.framework.DebuggedSourceFile

parser() - Static method in class org.tensorflow.framework.DebuggedSourceFiles

parser() - Static method in class org.tensorflow.framework.DebugOptions

parser() - Static method in class org.tensorflow.framework.DebugTensorWatch

parser() - Static method in class org.tensorflow.framework.DeviceAttributes

parser() - Static method in class org.tensorflow.framework.DeviceLocality

parser() - Static method in class org.tensorflow.framework.DeviceStepStats

parser() - Static method in class org.tensorflow.framework.FunctionDef

parser() - Static method in class org.tensorflow.framework.FunctionDefLibrary

parser() - Static method in class org.tensorflow.framework.GPUOptions.Experimental

parser() - Static method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

parser() - Static method in class org.tensorflow.framework.GPUOptions

parser() - Static method in class org.tensorflow.framework.GradientDef

parser() - Static method in class org.tensorflow.framework.GraphDef

parser() - Static method in class org.tensorflow.framework.GraphOptions

parser() - Static method in class org.tensorflow.framework.GraphTransferConstNodeInfo

parser() - Static method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

parser() - Static method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

parser() - Static method in class org.tensorflow.framework.GraphTransferInfo

parser() - Static method in class org.tensorflow.framework.GraphTransferNodeInfo

parser() - Static method in class org.tensorflow.framework.GraphTransferNodeInput

parser() - Static method in class org.tensorflow.framework.GraphTransferNodeInputInfo

parser() - Static method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

parser() - Static method in class org.tensorflow.framework.HistogramProto

parser() - Static method in class org.tensorflow.framework.InterconnectLink

parser() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint

parser() - Static method in class org.tensorflow.framework.KernelDef

parser() - Static method in class org.tensorflow.framework.LocalLinks

parser() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation

parser() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation

parser() - Static method in class org.tensorflow.framework.MemoryLogStep

parser() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation

parser() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation

parser() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput

parser() - Static method in class org.tensorflow.framework.MemoryStats

parser() - Static method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

parser() - Static method in class org.tensorflow.framework.MetaGraphDef

parser() - Static method in class org.tensorflow.framework.NameAttrList

parser() - Static method in class org.tensorflow.framework.NamedTensorProto

parser() - Static method in class org.tensorflow.framework.NodeDef

parser() - Static method in class org.tensorflow.framework.NodeExecStats

parser() - Static method in class org.tensorflow.framework.NodeOutput

parser() - Static method in class org.tensorflow.framework.OpDef.ArgDef

parser() - Static method in class org.tensorflow.framework.OpDef.AttrDef

parser() - Static method in class org.tensorflow.framework.OpDef

parser() - Static method in class org.tensorflow.framework.OpDeprecation

parser() - Static method in class org.tensorflow.framework.OpList

parser() - Static method in class org.tensorflow.framework.OptimizerOptions

parser() - Static method in class org.tensorflow.framework.QueueRunnerDef

parser() - Static method in class org.tensorflow.framework.ReaderBaseState

parser() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

parser() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

parser() - Static method in class org.tensorflow.framework.ResourceHandleProto

parser() - Static method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

parser() - Static method in class org.tensorflow.framework.RewriterConfig

parser() - Static method in class org.tensorflow.framework.RPCOptions

parser() - Static method in class org.tensorflow.framework.RunMetadata

parser() - Static method in class org.tensorflow.framework.RunOptions.Experimental

parser() - Static method in class org.tensorflow.framework.RunOptions

parser() - Static method in class org.tensorflow.framework.SavedModel

parser() - Static method in class org.tensorflow.framework.SaveSliceInfoDef

parser() - Static method in class org.tensorflow.framework.ScopedAllocatorOptions

parser() - Static method in class org.tensorflow.framework.SignatureDef

parser() - Static method in class org.tensorflow.framework.StepStats

parser() - Static method in class org.tensorflow.framework.Summary.Audio

parser() - Static method in class org.tensorflow.framework.Summary.Image

parser() - Static method in class org.tensorflow.framework.Summary

parser() - Static method in class org.tensorflow.framework.Summary.Value

parser() - Static method in class org.tensorflow.framework.SummaryDescription

parser() - Static method in class org.tensorflow.framework.SummaryMetadata

parser() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData

parser() - Static method in class org.tensorflow.framework.TensorConnection

parser() - Static method in class org.tensorflow.framework.TensorDescription

parser() - Static method in class org.tensorflow.framework.TensorInfo.CooSparse

parser() - Static method in class org.tensorflow.framework.TensorInfo

parser() - Static method in class org.tensorflow.framework.TensorProto

parser() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim

parser() - Static method in class org.tensorflow.framework.TensorShapeProto

parser() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent

parser() - Static method in class org.tensorflow.framework.TensorSliceProto

parser() - Static method in class org.tensorflow.framework.ThreadPoolOptionProto

parser() - Static method in class org.tensorflow.framework.ValuesDef

parser() - Static method in class org.tensorflow.framework.VariableDef

parser() - Static method in class org.tensorflow.framework.VariantTensorDataProto

parser() - Static method in class org.tensorflow.framework.VersionDef

parser() - Static method in class org.tensorflow.framework.WhileContextDef

parser() - Static method in class org.tensorflow.util.BundleEntryProto

parser() - Static method in class org.tensorflow.util.BundleHeaderProto

parser() - Static method in class org.tensorflow.util.IteratorStateMetadata

parser() - Static method in class org.tensorflow.util.SaverDef

parser() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

parser() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

parser() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

parser() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

parser() - Static method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

parser() - Static method in class tensorflow.DevicePropertiesProtos.DeviceProperties

parser() - Static method in class tensorflow.DevicePropertiesProtos.NamedDevice

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.Operation

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

parser() - Static method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

parser() - Static method in class tensorflow.TransportOptions.RecvBufRespExtra

parseVariable(String) - Static method in class org.nd4j.autodiff.samediff.SameDiff

Note: INTENDED FOR DEVELOPER USE
This method extract base variable name and output index (if exists) from raw variable name.

PARTIAL_RUN_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.PartialRunSetupResponse

PARTIAL_RUN_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepRequest

PartialRunSetupRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.PartialRunSetupRequest

PartialRunSetupRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.PartialRunSetupRequest

PartialRunSetupRequestOrBuilder - Interface in org.tensorflow.distruntime

PartialRunSetupResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.PartialRunSetupResponse

PartialRunSetupResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.PartialRunSetupResponse

PartialRunSetupResponseOrBuilder - Interface in org.tensorflow.distruntime

PARTITION_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse

PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunMetadata

PartitionMode - Enum in org.nd4j.enums

partition_mode == 0 - i.e.

PASS_NULL - org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling

Parallel iterator will keep returning true on hasNext(), but next() will return null instead of DataSet

pauseArgumentInterceptor() - Method in class org.nd4j.autodiff.samediff.SameDiff

Pause the top (most recently added) argument interceptor

pauseArgumentInterceptor(ArgumentInterceptor) - Method in class org.nd4j.autodiff.samediff.SameDiff

Pause the given argument interceptor

PC - org.nd4j.evaluation.regression.RegressionEvaluation.Metric

pca(INDArray, double, boolean) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA

Calculates pca reduced value of a matrix, for a given variance.

pca(INDArray, int, boolean) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA

Calculates pca vectors of a matrix, for a flags number of reduced features returns the reduced feature set The return is a projection of A onto principal nDims components To use the PCA: assume A is the original feature set then project A onto a reduced set of features.

PCA - Class in org.nd4j.linalg.dimensionalityreduction

PCA(INDArray) - Constructor for class org.nd4j.linalg.dimensionalityreduction.PCA

Create a PCA instance with calculated data: covariance, mean, eigenvectors, and eigenvalues.

pca_factor(INDArray, double, boolean) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA

Calculates pca vectors of a matrix, for a given variance.

pca_factor(INDArray, int, boolean) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA

Calculates pca factors of a matrix, for a flags number of reduced features returns the factors to scale observations The return is a factor matrix to reduce (normalized) feature sets

pca2(INDArray, double) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA

This method performs a dimensionality reduction, including principal components that cover a fraction of the total variance of the system.

PEAK_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed

pearsonCorrelation(int) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Pearson Correlation Coefficient for samples

PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions

percentile(Number, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

percentile(Number, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns percentile along given dimension(s)

percentileNumber(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

percentileNumber(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns percentile value for this INDArray

PERFORMANCE - org.nd4j.graph.ui.LogFileWriter.EventSubtype

PERFORMANCE - Static variable in class org.nd4j.graph.UIEventSubtype

performanceStats(int) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

PerformanceTracker - Class in org.nd4j.linalg.api.ops.performance

periodicEnabled - Variable in class org.nd4j.linalg.api.memory.BasicMemoryManager

PERMISSION_DENIED - org.tensorflow.framework.Code

The caller does not have permission to execute the specified operation.

PERMISSION_DENIED_VALUE - Static variable in enum org.tensorflow.framework.Code

The caller does not have permission to execute the specified operation.

permute(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Permute the dimensions of the current variable according to the specified permutation indices.
Example: if the current variable has shape [a,b,c] and dimensions = [2,0,1] the output has shape [c,a,b]

permute(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

permute(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

See: http://www.mathworks.com/help/matlab/ref/permute.html

permute(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Array permutation operation: permute the dimensions according to the specified permutation indices.
Example: if input has shape [a,b,c] and dimensions = [2,0,1] the output has shape [c,a,b]

permute(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Array permutation operation: permute the dimensions according to the specified permutation indices.
Example: if input has shape [a,b,c] and dimensions = [2,0,1] the output has shape [c,a,b]

permute(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

permute(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Array permutation operation: permute the dimensions according to the specified permutation indices.
Example: if input has shape [a,b,c] and dimensions = [2,0,1] the output has shape [c,a,b]

permute(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Array permutation operation: permute the dimensions according to the specified permutation indices.
Example: if input has shape [a,b,c] and dimensions = [2,0,1] the output has shape [c,a,b]

permute(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Array permutation operation: permute the dimensions according to the specified permutation indices.
Example: if input has shape [a,b,c] and dimensions = [2,0,1] the output has shape [c,a,b]

permute(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Array permutation operation: permute the dimensions according to the specified permutation indices.
Example: if input has shape [a,b,c] and dimensions = [2,0,1] the output has shape [c,a,b]

Permute - Class in org.nd4j.linalg.api.ops.impl.shape

Permute() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute

Permute(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute

Permute(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute

Permute(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute

Permute(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute

PermuteDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor

PermuteDataSetPreProcessor(int...) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.PermuteDataSetPreProcessor

PermuteDataSetPreProcessor(PermuteDataSetPreProcessor.PermutationTypes) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.PermuteDataSetPreProcessor

PermuteDataSetPreProcessor.PermutationTypes - Enum in org.nd4j.linalg.dataset.api.preprocessor

permuteDims - Variable in class org.nd4j.linalg.api.ops.impl.shape.Transpose

permutei(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

permutei(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

An in-place version of permute.

persist() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Deprecated.

persist() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Mark this buffer as persistent

PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryStats

PERSISTENT_TENSOR_ALLOC_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryStats

Phase - Enum in org.nd4j.autodiff.listeners.profiler.data

phName - Variable in class org.nd4j.autodiff.samediff.internal.InferenceSession.PlaceholderDep

PHYSICAL_DEVICE_DESC_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes

physicalCores() - Method in class org.nd4j.graph.UISystemInfo

pickObject(Deallocatable) - Method in class org.nd4j.linalg.api.memory.deallocation.DeallocatorService

This method adds Deallocatable object instance to tracking system

pickPairwiseDataType(DataType, Number) - Static method in class org.nd4j.linalg.api.shape.Shape

pickPairwiseDataType(DataType, DataType) - Static method in class org.nd4j.linalg.api.shape.Shape

Return a data type to use for output within a pair wise operation such as add or subtract.

pickReference(MemoryWorkspace) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

pickReferent(BaseDataBuffer) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

pile(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

This method stacks vertically examples with the same shape, increasing result dimensionality.

pile(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method stacks vertically examples with the same shape, increasing result dimensionality.

pinnedAllocations - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

pinnedAllocationsSize - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

pinnedCount - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

pinvert(INDArray, boolean) - Static method in class org.nd4j.linalg.inverse.InvertMatrix

Calculates pseudo inverse of a matrix using QR decomposition

PIVOT_FOR_BODY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

PIVOT_FOR_PRED_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

PIVOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CondContextDef

PIVOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

PLACE_PRUNED_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphOptions

placeHolder(String, DataType, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a a placeholder variable.

PLACEHOLDER - org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

PLACEHOLDER - org.nd4j.autodiff.samediff.VariableType

PLACEHOLDER - org.tensorflow.framework.AttrValue.ValueCase

PLACEHOLDER - Static variable in class org.nd4j.graph.VarType

PLACEHOLDER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

PlaceholderDep() - Constructor for class org.nd4j.autodiff.samediff.internal.InferenceSession.PlaceholderDep

placeholders(int) - Method in class org.nd4j.graph.FlatGraph

placeHolders() - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns the placeholders in this graph

placeholderShape() - Method in class org.nd4j.autodiff.samediff.SDVariable

placeholdersLength() - Method in class org.nd4j.graph.FlatGraph

placeholdersVector() - Method in class org.nd4j.graph.FlatGraph

placeholdersVector(StringVector) - Method in class org.nd4j.graph.FlatGraph

placeholderValue(String, INDArray) - Method in class org.nd4j.autodiff.validation.TestCase

placeholderValues(Map<String, INDArray>) - Method in class org.nd4j.autodiff.validation.TestCase

PLACEMENT_PERIOD_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

PLATFORM_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

PLATFORM_IMPL = 12;

PLATFORM_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

PLATFORM_IMPL = 12;

platformAddress() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

platformAddress() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns the address of platform-specific pointer: - for native backend that'll be host pointer - for cuda backend that'll be device pointer

pLeftInvert(INDArray, boolean) - Static method in class org.nd4j.linalg.inverse.InvertMatrix

Compute the left pseudo inverse.

plotLosses(int) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

plugin() - Method in class org.nd4j.graph.UIEvent

PLUGIN_DATA_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata

PLUGIN_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata.PluginData

plus(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

For Kotlin operator interop

plus(Loss) - Method in class org.nd4j.autodiff.listeners.Loss

plus(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

For Kotlin operator interop

PNORM - org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D.Pooling2DType

PNORM - org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D.Pooling2DType

PNORM - org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D.Pooling3DType

point(long) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements at a singular point in this dimension (think row or column) This is a static index

point(long) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Returns a point index

point(long, boolean) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements at a singular point in this dimension (think row or column) This is a static index

point(SDVariable) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements at a singular point in this dimension (think row or column) Note this is the SDVariable version.

point(SDVariable, boolean) - Static method in class org.nd4j.autodiff.samediff.SDIndex

Represents all elements at a singular point in this dimension (think row or column) This is a dynamic index

Point() - Constructor for class org.nd4j.evaluation.curves.PrecisionRecallCurve.Point

POINT - org.nd4j.autodiff.samediff.SDIndex.IndexType

POINT_INPUT - org.nd4j.autodiff.samediff.SDIndex.IndexType

POINT_TYPE - Static variable in class org.nd4j.linalg.api.ops.impl.shape.CreateView

pointer - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

pointer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

pointer() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns an underlying pointer if one exists

pointerIndexerByCurrentType(DataType) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

pointerIndexerByCurrentType(DataType) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

PointersPair - Class in org.nd4j.linalg.api.memory.pointers

PointersPair(PagedPointer, PagedPointer) - Constructor for class org.nd4j.linalg.api.memory.pointers.PointersPair

PointIndex - Class in org.nd4j.linalg.indexing

A point index is used for pulling something like a specific row from an array.

PointIndex(long) - Constructor for class org.nd4j.linalg.indexing.PointIndex

POISSON - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

policyAllocation - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

policyLearning - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

policyLocation - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

policyMirroring - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

policyReset - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

policySpill - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions

POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions

Polygamma - Class in org.nd4j.linalg.api.ops.custom

Polygamma() - Constructor for class org.nd4j.linalg.api.ops.custom.Polygamma

Polygamma(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Polygamma

Polygamma(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Polygamma

Polygamma(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Polygamma

PolySchedule - Class in org.nd4j.linalg.schedule

PolySchedule(ScheduleType, double, double, int) - Constructor for class org.nd4j.linalg.schedule.PolySchedule

pooling2D(INDArray, int, int, int, int, int, int, int, int, boolean, Pooling2D.Pooling2DType, Pooling2D.Divisor, double, int, int, INDArray) - Static method in class org.nd4j.linalg.convolution.Convolution

Pooling 2d implementation

Pooling2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Pooling2D operation

Pooling2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

Pooling2D(INDArray[], INDArray[], Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

Pooling2D(INDArray, INDArray, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

Pooling2D(SameDiff, SDVariable[], Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

Pooling2D.Divisor - Enum in org.nd4j.linalg.api.ops.impl.layers.convolution

Divisor mode for average pooling only.

Pooling2D.Pooling2DType - Enum in org.nd4j.linalg.api.ops.impl.layers.convolution

Pooling2DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config

Pooling2DConfig(long, long, long, long, long, long, double, Pooling2D.Pooling2DType, Pooling2D.Divisor, PaddingMode, long, long, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling2DConfig

Pooling2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Pooling2DDerivative operation

Pooling2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative

Pooling2DDerivative(INDArray, INDArray, INDArray, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative

Pooling2DDerivative(SameDiff, SDVariable[], Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative

Pooling3D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Pooling3D operation

Pooling3D(SameDiff, SDVariable[], INDArray[], INDArray[], boolean, Pooling3DConfig, Pooling3D.Pooling3DType) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

Pooling3D.Pooling3DType - Enum in org.nd4j.linalg.api.ops.impl.layers.convolution

Pooling3DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config

Pooling3DConfig(long, long, long, long, long, long, long, long, long, long, long, long, Pooling3D.Pooling3DType, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling3DConfig

Pooling3DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Pooling3DDerivative operation

Pooling3DDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], boolean, Pooling3DConfig, Pooling3D.Pooling3DType) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3DDerivative

positive() - Method in class org.nd4j.evaluation.classification.Evaluation

Returns all of the positive guesses: true positive + false negative

POST_UPDATER - org.nd4j.linalg.learning.regularization.Regularization.ApplyStep

postProcessOutput(Map<String, INDArray>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession

postProcessOutput(Map<String, T>) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Post process the session output values, if required.

postProcessOutputValues(Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Post process the session output values, if required.

postProcessOutputValues(Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession

PostulateMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta

PostulateMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp

PostulateMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp

PostulateMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp

PostulateMetaOp(ScalarOp, ReduceOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp

PostulateMetaOp(TransformOp, ReduceOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp

posv(char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

posv(char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

potrf(INDArray, boolean) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

potrf(INDArray, boolean) - Method in interface org.nd4j.linalg.api.blas.Lapack

Triangular decomposiiton of a positive definite matrix ( cholesky ) Factorize a matrix A such that A = LL* (assuming lower==true) or A = U*U (a * represents conjugate i.e.

pow(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.pow(String, double)

pow(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Scalar power operation: out = this ^ scalar
Output variable has the same shape as the input variable

pow(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise power function: out = x^value

pow(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise (broadcastable) power function: out = x[i]^y[i]

pow(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise power function: out = x^value

pow(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise (broadcastable) power function: out = x[i]^y[i]

pow(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise power function: out = x^value

pow(INDArray, Number) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Pow function

pow(INDArray, Number, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Pow function

pow(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise (broadcastable) power function: out = x[i]^y[i]

pow(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Element-wise power function - x^y, performed element-wise.

pow(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Element-wise power function - x^y, performed element-wise

Pow - Class in org.nd4j.linalg.api.ops.impl.scalar

Pow - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Pow() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Pow

Pow() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Pow

Pow(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Pow

Pow(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Pow

Pow(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Pow

Pow(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Pow

Pow(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Pow

Pow(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Pow

Pow(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Pow

PowBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

PowBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.PowBp

PowBp(INDArray, INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.PowBp

PowDerivative - Class in org.nd4j.linalg.api.ops.impl.scalar

PowDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.PowDerivative

PowDerivative(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.PowDerivative

PowDerivative(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.PowDerivative

PowDerivative(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.PowDerivative

PowPairwise - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

PowPairwise() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

PowPairwise(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

PowPairwise(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

PowPairwise(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

PowPairwise(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

PowPairwise(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

PRECEDING_NODE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

PRECEDING_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

preciseGelu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

GELU activation function - Gaussian Error Linear Units
For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415
This method uses the precise method

preciseGelu(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

GELU activation function - Gaussian Error Linear Units
For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415
This method uses the precise method

preciseGelu(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

GELU activation function - Gaussian Error Linear Units
For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415
This method uses the precise method

PreciseGELU - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

PreciseGELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

PreciseGELU(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

PreciseGELU(SameDiff, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

PreciseGELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

PreciseGELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

PreciseGELUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

GELU derivative

PreciseGELUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative

PreciseGELUDerivative(SameDiff, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative

PreciseGELUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative

PreciseGELUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative

precision() - Method in class org.nd4j.evaluation.classification.Evaluation

Precision based on guesses so far.
Note: value returned will differ depending on number of classes and settings.
1.

precision() - Method in enum org.nd4j.linalg.api.buffer.DataType

precision(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the precision (tp / (tp + fp)) for the specified output

precision(long, long, double) - Static method in class org.nd4j.evaluation.EvaluationUtils

Calculate the precision from true positive and false positive counts

precision(Integer) - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the precision for a given class label

precision(Integer, double) - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the precision for a given label

precision(EvaluationAveraging) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the average precision for all classes.

PRECISION - org.nd4j.evaluation.classification.Evaluation.Metric

PRECISION - org.nd4j.evaluation.classification.EvaluationBinary.Metric

PrecisionRecallCurve - Class in org.nd4j.evaluation.curves

PrecisionRecallCurve(double[], double[], double[], int[], int[], int[], int) - Constructor for class org.nd4j.evaluation.curves.PrecisionRecallCurve

PrecisionRecallCurve.Confusion - Class in org.nd4j.evaluation.curves

PrecisionRecallCurve.Point - Class in org.nd4j.evaluation.curves

PRED_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CondContextDef

PredicateMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta

PredicateMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

PredicateMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

PredicateMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

PredicateMetaOp(Op, Op) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

PredicateMetaOp(ScalarOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

PredicateMetaOp(ScalarOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

PredicateMetaOp(TransformOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

PredicateMetaOp(TransformOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp

Prediction - Class in org.nd4j.evaluation.meta

Prediction() - Constructor for class org.nd4j.evaluation.meta.Prediction

PREDICTION - org.nd4j.graph.ui.LogFileWriter.EventSubtype

PREDICTION - Static variable in class org.nd4j.graph.UIEventSubtype

prefetchSize - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

prefetchSize - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

prelu(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

PReLU (Parameterized Rectified Linear Unit) operation.

prelu(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

PReLU (Parameterized Rectified Linear Unit) operation.

prelu(INDArray, INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDNN

PReLU (Parameterized Rectified Linear Unit) operation.

PRelu - Class in org.nd4j.linalg.api.ops.impl.scalar

Parameterized ReLU op

PRelu(SameDiff, SDVariable, SDVariable, @lombok.NonNull int...) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.PRelu

PRelu(INDArray, INDArray, @lombok.NonNull int...) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.PRelu

PRelu(INDArray, INDArray, INDArray, @lombok.NonNull int...) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.PRelu

PReluBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

PReluBp(INDArray, INDArray, INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.PReluBp

PReluBp(SameDiff, SDVariable, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.PReluBp

preOpExecution(SameDiff, At, SameDiffOp, OpContext) - Method in class org.nd4j.autodiff.listeners.BaseListener

preOpExecution(SameDiff, At, SameDiffOp, OpContext) - Method in class org.nd4j.autodiff.listeners.debugging.ControlflowListener

preOpExecution(SameDiff, At, SameDiffOp, OpContext) - Method in class org.nd4j.autodiff.listeners.debugging.ExecDebuggingListener

preOpExecution(SameDiff, At, SameDiffOp, OpContext) - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener

preOpExecution(SameDiff, At, SameDiffOp, OpContext) - Method in interface org.nd4j.autodiff.listeners.Listener

Called just before each operation is executed (native code called, etc) - after all inputs etc have been set

preOpExecution(SameDiff, At, SameDiffOp, OpContext) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener

prepend(INDArray, int, double, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.append(INDArray, int, double, int).

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Pre process a dataset

preProcess(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Pre process a MultiDataSet

preProcess(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

preProcess(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

preProcess(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

preProcess(INDArray, INDArray, DistributionStats) - Method in class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy

Normalize a data array

preProcess(INDArray, INDArray, MinMaxStats) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy

Normalize a data array

preProcess(INDArray, INDArray, S) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.NormalizerStrategy

Normalize a data array

preProcess(DataSet) - Method in interface org.nd4j.linalg.dataset.api.DataSetPreProcessor

Pre process a dataset

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingPreProcessor

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.CompositeDataSetPreProcessor

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.CropAndResizeDataSetPreProcessor

NOTE: The data format must be NHWC

preProcess(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageFlatteningDataSetPreProcessor

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.LabelLastTimeStepPreProcessor

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.PermuteDataSetPreProcessor

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.RGBtoGrayscaleDataSetPreProcessor

preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

preProcess(MultiDataSet) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor

Preprocess the MultiDataSet

preProcess(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingMultiDataSetPreProcessor

preProcess(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.CompositeMultiDataSetPreProcessor

preProcess(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

preProcess(MultiDataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization

preProcessor - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

preProcessor - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

preprocessPlaceholders(Map<String, INDArray>, At) - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession

preprocessPlaceholders(Map<String, T>, At) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Preprocess the placeholder values, if required.

preprocessValuePlaceholders(Map<String, SDValue>, At) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Preprocess the placeholder values, if required.

preUpdate(SameDiff, At, Variable, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseListener

preUpdate(SameDiff, At, Variable, INDArray) - Method in class org.nd4j.autodiff.listeners.impl.UIListener

preUpdate(SameDiff, At, Variable, INDArray) - Method in interface org.nd4j.autodiff.listeners.Listener

Called just before each parameter is to be updated - i.e., just before each parameter is modified.

preventUnpack - Static variable in class org.nd4j.linalg.factory.Nd4j

previousWorkspace - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

pRightInvert(INDArray, boolean) - Static method in class org.nd4j.linalg.inverse.InvertMatrix

Compute the right pseudo inverse.

principalComponents(INDArray) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA

Calculates the principal component vectors and their eigenvalues (lambda) for the covariance matrix.

PrintAffinity - Class in org.nd4j.linalg.api.ops.util

PrintAffinity() - Constructor for class org.nd4j.linalg.api.ops.util.PrintAffinity

PrintAffinity(INDArray) - Constructor for class org.nd4j.linalg.api.ops.util.PrintAffinity

printAllocationStatisticsForCurrentThread() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method prints out allocation statistics for current thread

printAllocationStatisticsForCurrentThread() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method prints out basic statistics for workspaces allocated in current thread

printApacheMatrix(RealMatrix) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

printAvailableCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Prints available compressors to standard out

printEnvironmentInformation() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

printEnvironmentInformation() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method prints out environmental information returned by getEnvironmentInformation() method

printFailureDetails(INDArray, INDArray, RealMatrix, INDArray, INDArray, String) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

printFailureDetails(INDArray, INDArray, INDArray, INDArray, INDArray, String) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

printGemmFailureDetails(INDArray, INDArray, INDArray, boolean, boolean, double, double, RealMatrix, INDArray, INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

printMatrixFullPrecision(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

printNDArrayHeader(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

printOutDashboard() - Method in class org.nd4j.linalg.profiler.OpProfiler

This method prints out dashboard state

printSystemInfo() - Static method in class org.nd4j.systeminfo.SystemInfo

Prints system info

PrintVariable - Class in org.nd4j.linalg.api.ops.util

PrintVariable() - Constructor for class org.nd4j.linalg.api.ops.util.PrintVariable

PrintVariable(INDArray) - Constructor for class org.nd4j.linalg.api.ops.util.PrintVariable

PrintVariable(INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.util.PrintVariable

PrintVariable(INDArray, String) - Constructor for class org.nd4j.linalg.api.ops.util.PrintVariable

PrintVariable(INDArray, String, boolean) - Constructor for class org.nd4j.linalg.api.ops.util.PrintVariable

PrintVariable(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.util.PrintVariable

PrintVariable(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.util.PrintVariable

probability(double) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).

probability(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).

probability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).

probability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).

probability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).

probability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).

probability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).

probability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).

probability(int) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

ProbablisticMerge - Class in org.nd4j.linalg.api.ops.random.impl

ProbablisticMerge() - Constructor for class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

ProbablisticMerge(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

ProbablisticMerge(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

process(long[]...) - Method in interface org.nd4j.linalg.api.shape.loop.coordinatefunction.CoordinateFunction

process(String) - Method in interface org.nd4j.linalg.env.EnvironmentalAction

This method will be executed with corresponding Env Var value

process(String) - Method in class org.nd4j.linalg.env.impl.DebugAction

process(String) - Method in class org.nd4j.linalg.env.impl.FallbackAction

process(String) - Method in class org.nd4j.linalg.env.impl.NDArrayUnpackAction

process(String) - Method in class org.nd4j.linalg.env.impl.OmpNumThreadsAction

process(String) - Method in class org.nd4j.linalg.env.impl.VerboseAction

process(String) - Method in class org.nd4j.linalg.env.impl.WorkspacesBypassAction

process(String) - Method in class org.nd4j.linalg.env.impl.WorkspacesDebugAction

process(String) - Method in class org.nd4j.linalg.env.impl.WorkspacesSpillAction

processBlasCall(boolean, INDArray...) - Method in class org.nd4j.linalg.profiler.OpProfiler

processBlasCall(String) - Method in class org.nd4j.linalg.profiler.OpProfiler

Deprecated.

processMemoryAccess() - Method in class org.nd4j.linalg.profiler.OpProfiler

processOpCall(CustomOp) - Method in class org.nd4j.linalg.profiler.OpProfiler

This method tracks op calls

processOpCall(Op) - Method in class org.nd4j.linalg.profiler.OpProfiler

This method tracks op calls

processOpCall(Op, DataBuffer...) - Method in class org.nd4j.linalg.profiler.OpProfiler

processOperands(INDArray...) - Method in class org.nd4j.linalg.profiler.OpProfiler

This method checks for something somewhere

processOperands(INDArray, INDArray) - Method in class org.nd4j.linalg.profiler.OpProfiler

processOperands(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.profiler.OpProfiler

processOrders(INDArray...) - Method in class org.nd4j.linalg.profiler.OpProfiler

processScalarCall() - Method in class org.nd4j.linalg.profiler.OpProfiler

This method tracks INDArray.putScalar()/getScalar() calls

processStackCall(CustomOp, long) - Method in class org.nd4j.linalg.profiler.OpProfiler

processStackCall(Op, long) - Method in class org.nd4j.linalg.profiler.OpProfiler

This method builds

processSubgraph(SameDiff, SubGraph) - Method in interface org.nd4j.autodiff.samediff.transform.SubGraphProcessor

Replace the subgraph, and return the new outputs that should replace the old outputs.
Note that the order of the outputs you return matters!
If the original outputs are [A,B,C] and you return output variables [X,Y,Z], then anywhere "A" was used as input will now use "X"; similarly Y replaces B, and Z replaces C.

processTADOperands(DataBuffer...) - Method in class org.nd4j.linalg.profiler.OpProfiler

prod(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.prod(String, boolean, int...)

prod(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

prod(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the product along a given dimension

prod(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.prod(String, boolean, int...)

prod(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

prod(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the product along a given dimension

prod(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

prod(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.prod(String, boolean, int...)

prod(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array along each dimension

prod(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array along each dimension

prod(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The product of an array long each dimension

prod(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The product of an array long each dimension

prod(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array along each dimension

prod(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array along each dimension

prod(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The product of an array long each dimension

prod(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The product of an array long each dimension

prod(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.prod(int...) with Integer.MAX_VALUE for full array reduction.

prod(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

The max of an array along each dimension

prod(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.prod(int...) with Integer.MAX_VALUE for full array reduction.

prod(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

The max of an array along each dimension

prod(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

The product of an array long each dimension

prod(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDBase

Product array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

prod(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

The product of an array long each dimension

Prod - Class in org.nd4j.linalg.api.ops.impl.reduce.same

Prod() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

Prod(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

ProdBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

ProdBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp

ProdBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp

ProdBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp

ProdBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp

ProdBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp

ProdBp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp

ProdBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp

ProdBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.ProdBp

prodNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

prodNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Calculate the product of all values in the array

PRODUCER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VersionDef

PRODUCER_NAME_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

PRODUCER_NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

PRODUCER_VERSION_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

PRODUCER_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

PROFILE1_PC - org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.SortBy

PROFILE2_PC - org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.SortBy

ProfileAnalyzer - Class in org.nd4j.autodiff.listeners.profiler.comparison

ProfileAnalyzer() - Constructor for class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

ProfileAnalyzer.OutputFormat - Enum in org.nd4j.autodiff.listeners.profiler.comparison

TEXT: Human readable, columns padded for alignment
CSV: CSV format, comma separated

ProfileAnalyzer.ProfileFormat - Enum in org.nd4j.autodiff.listeners.profiler.comparison

Chrome profiler supports 2 formats:
SameDiff == JSON Array Format
TensorFlow == JSON Object Format

ProfileAnalyzer.SortBy - Enum in org.nd4j.autodiff.listeners.profiler.comparison

Only applicable for profile comparisons.
PROFILE1_PC - sort by profile 1 percentage of total time
PROFILE2_PC - sort by profile 2 percentage of total time
RATIO - sort by highest ratio (mean op time profile 1 / mean op time profile 2)

profileOps(int) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

ProfilerConfig - Class in org.nd4j.linalg.profiler

ProfilerConfig() - Constructor for class org.nd4j.linalg.profiler.ProfilerConfig

PROFILING - org.nd4j.graph.ui.LogFileWriter.EventSubtype

PROFILING - Static variable in class org.nd4j.graph.UIEventSubtype

profilingConfigurableHookIn(CustomOp, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

profilingConfigurableHookIn(Op, DataBuffer...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

profilingConfigurableHookOut(CustomOp, OpContext, long) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

profilingConfigurableHookOut(Op, OpContext, long) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

profilingHookIn(CustomOp, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

Deprecated.

profilingHookIn(Op, DataBuffer...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

Deprecated.

profilingHookOut(CustomOp, OpContext, long) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

Deprecated.

profilingHookOut(Op, OpContext, long) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

Deprecated.

ProfilingListener - Class in org.nd4j.autodiff.listeners.profiler

ProfilingListener(File, boolean, int, int, long, Operation[]) - Constructor for class org.nd4j.autodiff.listeners.profiler.ProfilingListener

ProfilingListener.Builder - Class in org.nd4j.autodiff.listeners.profiler

profilingMode - Variable in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

profilingMode() - Method in class org.nd4j.graph.FlatConfiguration

ProfilingMode - Class in org.nd4j.graph

project(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

Create a copy random projection by using matrix product with a random matrix

project(INDArray, INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

Create a copy random projection by using matrix product with a random matrix

projecti(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

Create an in-place random projection by using in-place matrix product with a random matrix

projecti(INDArray, INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

Create an in-place random projection by using in-place matrix product with a random matrix

propagate(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray

This method propagates given INDArray to all entries as is

properties(int) - Method in class org.nd4j.graph.FlatNode

properties(FlatProperties, int) - Method in class org.nd4j.graph.FlatNode

PROPERTIES_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.NamedDevice

propertiesForFunction() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Returns the properties for a given function

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlock

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Moments

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

propertiesForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.NthElement

propertiesLength() - Method in class org.nd4j.graph.FlatNode

propertiesVector() - Method in class org.nd4j.graph.FlatNode

propertiesVector(FlatProperties.Vector) - Method in class org.nd4j.graph.FlatNode

PropertyMapping - Class in org.nd4j.imports.descriptors.properties

PropertyMapping() - Constructor for class org.nd4j.imports.descriptors.properties.PropertyMapping

props - Static variable in class org.nd4j.linalg.factory.Nd4j

PROTOCOL_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ServerDef

PTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription

PTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation

pullRows(INDArray, int, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes

pullRows(INDArray, int, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes

pullRows(INDArray, int, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes

pullRows(INDArray, int, int[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes

pullRows(INDArray, int, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes

pullRows(INDArray, int, int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes

pullRows(INDArray, int, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

pullRows(INDArray, INDArray, int, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes.

pullRows(INDArray, INDArray, int, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

* This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes in to the destination array

purge() - Method in class org.nd4j.linalg.api.memory.stash.BasicStash

purge() - Method in interface org.nd4j.linalg.api.memory.stash.Stash

purge() - Method in class org.nd4j.linalg.api.ops.BaseOpContext

purge() - Method in interface org.nd4j.linalg.api.ops.OpContext

This method removes all in/out arrays from this OpContext

purgeBuffers() - Method in interface org.nd4j.linalg.cache.TADManager

This method removes all cached shape buffers

purgeCache() - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider

This method forces cache purge, if cache is available for specific implementation

purgeCaches() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

This method purges all cached memory chunks

purgeCaches() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method purges all cached memory chunks

purgeConstants() - Method in interface org.nd4j.linalg.cache.ConstantHandler

This method removes all cached constants

push() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

push() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method ensures all operations that supposed to be executed at this moment, are executed.

put(int[], INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

put(int[], INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Inserts the element at the specified index

put(int, int, Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

put(int, int, Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Inserts the element at the specified index

put(int, int, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

put(int, int, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Inserts the element at the specified index

put(int, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

put(int, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Inserts the element at the specified index

put(long, boolean) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

put(long, boolean) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

put(long, double) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

put(long, double) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign an element in the buffer to the specified index

put(long, float) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

put(long, float) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign an element in the buffer to the specified index

put(long, int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

put(long, int) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Assign an element in the buffer to the specified index

put(long, long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

put(long, long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

put(String, DataSet) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache

put(String, DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

put(String, DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

put(String, DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache

put(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Get a variable with content equal to a specified sub-array of this variable.
Can be used (for example) to get rows, columns, sub-matrices, etc.

put(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

put(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Put element in to the indices denoted by the indices ndarray.

put(INDArrayIndex[], Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

put(INDArrayIndex[], Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Put the elements of the ndarray in to the specified indices

put(INDArrayIndex[], INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

put(INDArrayIndex[], INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Put the elements of the ndarray in to the specified indices

put(T, INDArray) - Method in class org.nd4j.linalg.api.memory.stash.BasicStash

put(T, INDArray) - Method in interface org.nd4j.linalg.api.memory.stash.Stash

putAllAttr(Map<String, AttrValue>) - Method in class org.tensorflow.framework.FunctionDef.Builder

Attributes specific to this function definition.

putAllAttr(Map<String, AttrValue>) - Method in class org.tensorflow.framework.NameAttrList.Builder

map<string, .tensorflow.AttrValue> attr = 2;

putAllAttr(Map<String, AttrValue>) - Method in class org.tensorflow.framework.NodeDef.Builder

Operation-specific graph-construction-time configuration.

putAllAttrs(Map<String, AttrValue>) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

map<string, .tensorflow.AttrValue> attrs = 5;

putAllCollectionDef(Map<String, CollectionDef>) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

collection_def: Map from collection name to collections.

putAllDeviceCount(Map<String, Integer>) - Method in class org.tensorflow.framework.ConfigProto.Builder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

putAllEnvironment(Map<String, String>) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Version of the tools and libraries used with this device (e.g.

putAllExternalValues(Map<String, String>) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names referenced by but external to this context.

putAllIndexOverrides(Map<Long, Long>) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

map<int64, int64> indexOverrides = 5;

putAllInputs(Map<String, TensorInfo>) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named input parameters.

putAllInputToOutput(Map<String, String>) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

map<string, string> inputToOutput = 17;

putAllOutputs(Map<String, TensorInfo>) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named output parameters.

putAllParameterMap(Map<String, AttrValue>) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

map<string, .tensorflow.AttrValue> parameter_map = 2;

putAllRet(Map<String, String>) - Method in class org.tensorflow.framework.FunctionDef.Builder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

putAllSignatureDef(Map<String, SignatureDef>) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

putAllTasks(Map<Integer, String>) - Method in class org.tensorflow.distruntime.JobDef.Builder

Mapping from task ID to "hostname:port" string.

putAttr(String, AttrValue) - Method in class org.tensorflow.framework.FunctionDef.Builder

Attributes specific to this function definition.

putAttr(String, AttrValue) - Method in class org.tensorflow.framework.NameAttrList.Builder

map<string, .tensorflow.AttrValue> attr = 2;

putAttr(String, AttrValue) - Method in class org.tensorflow.framework.NodeDef.Builder

Operation-specific graph-construction-time configuration.

putAttrs(String, AttrValue) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

map<string, .tensorflow.AttrValue> attrs = 5;

putByDestinationType(long, Number, DataType) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

putCollectionDef(String, CollectionDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

collection_def: Map from collection name to collections.

putColumn(int, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putColumn(int, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert a column in to this array Will throw an exception if this ndarray is not a matrix

putDeviceCount(String, int) - Method in class org.tensorflow.framework.ConfigProto.Builder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

putEnvironment(String, String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Version of the tools and libraries used with this device (e.g.

putExternalValues(String, String) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names referenced by but external to this context.

putiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place assignment of a column vector

putIndexOverrides(long, long) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

map<int64, int64> indexOverrides = 5;

putInputs(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named input parameters.

putInputToOutput(String, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

map<string, string> inputToOutput = 17;

putiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place assignment of row vector, to each row of this array

putNodeValue(SDValue, AbstractSession.VarId) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

putOpForId(String, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Put the function for the given id

putOutputs(String, TensorInfo) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named output parameters.

putParameterMap(String, AttrValue) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

map<string, .tensorflow.AttrValue> parameter_map = 2;

putRet(String, String) - Method in class org.tensorflow.framework.FunctionDef.Builder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

putRow(long, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putRow(long, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert a row in to this array Will throw an exception if this ndarray is not a matrix

putScalar(int[], double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(int[], double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert the item at the specified indices

putScalar(int[], float) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(int[], float) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Put the specified float value at the specified indices in this array

putScalar(int[], int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(int[], int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Put the specified integer value at the specified indices in this array

putScalar(long[], double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(long[], double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

See INDArray.putScalar(int[], double)

putScalar(long[], float) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(long[], float) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

See INDArray.putScalar(int[], double)

putScalar(long[], int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(long[], int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

See INDArray.putScalar(int[], double)

putScalar(long, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(long, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert the number linearly in to the ndarray

putScalar(long, float) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(long, float) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert a scalar float at the specified index

putScalar(long, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(long, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert a scalar int at the specified index

putScalar(long, long, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(long, long, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert the value at the specified indices, in a 2d (rank 2) NDArray
Equivalent to INDArray.putScalar(int[], double) but avoids int[] creation

putScalar(long, long, long, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(long, long, long, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert the value at the specified indices, in a 3d (rank 3) NDArray
Equivalent to INDArray.putScalar(int[], double) but avoids int[] creation

putScalar(long, long, long, long, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalar(long, long, long, long, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert the value at the specified indices, in a 4d (rank 4) NDArray
Equivalent to INDArray.putScalar(int[], double) but avoids int[] creation

putScalarUnsafe(long, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putScalarUnsafe(long, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Insert a scalar at the given linear offset

putSignatureDef(String, SignatureDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

putSlice(int, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putSlice(int, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Assigns the given matrix (put) to the specified slice

putSubFunction(String, SameDiff) - Method in class org.nd4j.autodiff.samediff.SameDiff

Associate a SameDiff namespace as a sub function.

putTasks(int, String) - Method in class org.tensorflow.distruntime.JobDef.Builder

Mapping from task ID to "hostname:port" string.

putTime(String, long) - Method in class org.nd4j.linalg.profiler.data.StringAggregator

putTime(String, CustomOp, long) - Method in class org.nd4j.linalg.profiler.data.StringAggregator

putTime(String, Op, long) - Method in class org.nd4j.linalg.profiler.data.StringAggregator

putWhere(Number, Number, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putWhere(Number, Number, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Assign the element according to the comparison array

putWhere(Number, INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putWhere(Number, INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Assign the element according to the comparison array

putWhere(INDArray, INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putWhere(INDArray, INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Assign the element according to the comparison array

putWhereWithMask(INDArray, Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putWhereWithMask(INDArray, Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Use a pre computed mask for assigning arrays

putWhereWithMask(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

putWhereWithMask(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Use a pre computed mask for assigning arrays

Q

QINT16 - Static variable in class org.nd4j.graph.DType

QINT8 - Static variable in class org.nd4j.graph.DType

qr(String[], SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes the QR decompositions of input matrix.

qr(String[], SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes the QR decompositions of input matrix.

qr(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes the QR decompositions of input matrix.

qr(SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Computes the QR decompositions of input matrix.

qr(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Computes the QR decompositions of input matrix.

qr(INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Computes the QR decompositions of input matrix.

Qr - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Qr(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Qr

Qr(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Qr

Qr(INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Qr

QUANT_PARAMETER_TENSOR_NAMES_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorAnnotation

QUANT_PARAMETER_TENSOR_NAMES_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorAnnotation

QUANTIZATION_ANNOTATION_FIELD_NUMBER - Static variable in class onnx.Onnx.GraphProto

QUANTIZATION_ANNOTATION_FIELD_NUMBER - Static variable in class onnx.OnnxMl.GraphProto

QUEUE_CLOSED_EXCEPTION_TYPES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.QueueRunnerDef

QUEUE_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

QUEUE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.QueueRunnerDef

queuedOps - Variable in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

QueueRunnerDef - Class in org.tensorflow.framework

Protocol buffer representing a QueueRunner.

QueueRunnerDef.Builder - Class in org.tensorflow.framework

Protocol buffer representing a QueueRunner.

QueueRunnerDefOrBuilder - Interface in org.tensorflow.framework

QueueRunnerProtos - Class in org.tensorflow.framework

R

R - org.nd4j.autodiff.listeners.profiler.data.Phase

r0 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

r1 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

r2 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

R2 - org.nd4j.evaluation.regression.RegressionEvaluation.Metric

r3 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

RAM - org.nd4j.linalg.api.memory.enums.LocationPolicy

Allocations will be in RAM

RampSchedule - Class in org.nd4j.linalg.schedule

RampSchedule(ISchedule, int) - Constructor for class org.nd4j.linalg.schedule.RampSchedule

rand(@lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a random ndarray with values from a uniform distribution over (0, 1) with the given shape

rand(@lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.rand(int[])

rand(char, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a random ndarray with the given shape and array order Values are sampled from a uniform distribution over (0, 1)

rand(char, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a random ndarray with the given shape and order

rand(char, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape, and specified output order

rand(char, long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

rand(char, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape and specified output order

rand(char, long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a random (uniform 0-1) NDArray with the specified shape and order

rand(char, long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random (uniform 0-1) NDArray with the specified shape and order

rand(double, double, Random, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Generates a random matrix between min and max

rand(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a random ndarray with the given shape using the current time as the seed

rand(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape using the current time as the seed

rand(int[], double, double, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

rand(int[], double, double, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.rand(double, double, org.nd4j.linalg.api.rng.Random, long...)

rand(int[], double, double, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

rand(int[], float, float, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Generates a random matrix between min and max

rand(int[], float, float, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Generates a random matrix between min and max

rand(int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.rand(long, long...)

rand(int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(int[], Distribution) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.rand(Distribution, long...)

rand(int[], Distribution) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(int[], Distribution) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(int[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(int[], Random) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.rand(org.nd4j.linalg.api.rng.Random, long...)

rand(int[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(int, int, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a random ndarray with the given shape using the given rng

rand(long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

rand(long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape using the current time as the seed

rand(long[], double, double, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

rand(long[], double, double, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.rand(double, double, org.nd4j.linalg.api.rng.Random, long...)

rand(long[], double, double, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

rand(long[], float, float, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

rand(long[], float, float, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

rand(long[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

rand(long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

rand(long[], Distribution) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.rand(Distribution, long...)

rand(long[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

rand(long[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

rand(long, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a random ndarray with values from a uniform distribution over (0, 1) with the given shape using given seed

rand(long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a random ndarray with the given shape using the current time as the seed

rand(long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape using the current time as the seed

rand(long, long, double, double, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

rand(long, long, double, double, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

rand(long, long, float, float, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Generates a random matrix between min and max

rand(long, long, float, float, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Generates a random matrix between min and max

rand(long, long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(long, long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(long, long, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(long, long, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a random ndarray with the given shape using the given rng

rand(DataType, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a random ndarray with the given shape and data type Values are sampled from a uniform distribution over (0, 1)

rand(DataType, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a random ndarray with values from a uniform distribution over (0, 1) with the given shape and data type

rand(DataType, char, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.rand(DataType, char, long...)

rand(DataType, char, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a random ndarray with the given shape, data type, and array order Values are sampled from a uniform distribution over (0, 1)

rand(DataType, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use {@link Nd4j#rand(DataType, char, long...))

rand(Distribution, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a random ndarray with the given shape using the given rng

rand(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the given ndarray with random numbers drawn from a uniform distribution

rand(INDArray, double, double, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the given ndarray with random numbers drawn from a uniform distribution using the given RandomGenerator

rand(INDArray, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the given ndarray with random numbers drawn from a uniform distribution

rand(INDArray, Distribution) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the given ndarray with random numbers drawn from the given distribution

rand(INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the given ndarray with random numbers drawn from a uniform distribution using the given RandomGenerator

rand(Random, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a random ndarray with the given shape using the given RandomGenerator

randn(@lombok.NonNull int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a ndarray of the given shape with values from N(0,1)

randn(@lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a ndarray of the given shape with values from N(0,1).

randn(char, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Random normal N(0,1) with the specified shape and array order

randn(char, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Random normal N(0,1) with the specified shape and array order

randn(char, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Random normal using the current time stamp as the seed

randn(char, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal N(0,1) with the specified shape and order

randn(char, long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

randn(char, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal N(0,1) with the specified shape and order

randn(char, long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Generate a random normal N(0,1) with the specified order and shape

randn(char, long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal N(0,1), with specified output order

randn(double, double, long[], Random) - Static method in class org.nd4j.linalg.factory.Nd4j

randn(double, double, INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

randn(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Random normal N(0,1) with the specified shape and

randn(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal N(0,1) using the current time stamp as the seed

randn(int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Random normal using the specified seed

randn(int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal using the specified seed

randn(int[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Random normal using the given rng

randn(int[], Random) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.randn(org.nd4j.linalg.api.rng.Random, long...)

randn(int[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal using the given rng

randn(long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

randn(long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal N(0,1) using the current time stamp as the seed

randn(long[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

randn(long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal using the specified seed

randn(long[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

randn(long[], Random) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.randn(org.nd4j.linalg.api.rng.Random, long...)

randn(long[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

randn(long, @lombok.NonNull long[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Random normal N(0, 1) using the specified seed

randn(long, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.randn(long, long[])

randn(long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Random normal using the current time stamp as the seed

randn(long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal (N(0,1)) using the current time stamp as the seed

randn(long, long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Random normal using the specified seed

randn(long, long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal using the specified seed

randn(long, long, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Random normal using the given rng

randn(long, long, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Random normal using the given rng

randn(DataType, @lombok.NonNull int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a ndarray of the given shape and data type with values from N(0,1)

randn(DataType, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a ndarray of the given shape and data type with values from N(0,1)

randn(DataType, char, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Random normal N(0,1) with the specified shape and array order

randn(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the given ndarray with random numbers drawn from a normal distribution

randn(INDArray, long) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the given ndarray with random numbers drawn from a normal distribution

randn(INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the given ndarray with random numbers drawn from a normal distribution utilizing the given random generator

randn(Random, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Random normal using the given rng

random - Variable in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for random number generation operations

random - Variable in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

random - Static variable in class org.nd4j.linalg.factory.Nd4j

Random namespace - (pseudo) random number generation methods

random() - Method in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for random number generation operations

random() - Static method in class org.nd4j.linalg.factory.Nd4j

Random namespace - (pseudo) random number generation methods

Random - Interface in org.nd4j.linalg.api.rng

RANDOM - org.nd4j.autodiff.validation.GradCheckUtil.Subset

RANDOM - org.nd4j.linalg.api.ops.Op.Type

RANDOM - Static variable in class org.nd4j.graph.OpType

randomBernoulli(double, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Generate a random array according to a binomial distribution with probability p: i.e., values 0 with probability (1-p) or value 1 with probability p

randomBernoulli(double, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the specified array with values generated according to a binomial distribution with probability p: i.e., values 0 with probability (1-p) or value 1 with probability p

RandomBernoulli - Class in org.nd4j.linalg.api.ops.random.custom

RandomBernoulli() - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli

RandomBernoulli(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli

RandomBernoulli(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli

randomBinomial(int, double, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Generate an array with random values generated according to a binomial distribution with the specified number of trials and probability

randomBinomial(int, double, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Fill the target array with random values generated according to a binomial distribution with the specified number of trials and probability

randomCrop(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Randomly crops image

randomCrop(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Randomly crops image

randomCrop(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDImage

Randomly crops image

RandomCrop - Class in org.nd4j.linalg.api.ops.custom

RandomCrop() - Constructor for class org.nd4j.linalg.api.ops.custom.RandomCrop

RandomCrop(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.RandomCrop

RandomCrop(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.RandomCrop

randomExponential(double, long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Exponential distribution: P(x) = lambda * exp(-lambda * x)

randomExponential(double, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Exponential distribution: P(x) = lambda * exp(-lambda * x)

RandomExponential - Class in org.nd4j.linalg.api.ops.random.custom

RandomExponential() - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomExponential

RandomExponential(double, DataType, long...) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomExponential

RandomExponential(SameDiff, double, DataType, long...) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomExponential

RandomExponential(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomExponential

RandomExponential(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomExponential

randomFactory - Static variable in class org.nd4j.linalg.factory.Nd4j

RandomFactory - Class in org.nd4j.linalg.factory

RandomFactory(Class) - Constructor for class org.nd4j.linalg.factory.RandomFactory

RandomGamma - Class in org.nd4j.linalg.api.ops.random.custom

RandomGamma(SameDiff, SDVariable, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomGamma

RandomGamma(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomGamma

RandomGamma(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomGamma

randomGenerator - Variable in class org.nd4j.linalg.api.rng.DefaultRandom

RandomMultinomial - Class in org.nd4j.linalg.api.ops.random.impl

RandomMultinomial() - Constructor for class org.nd4j.linalg.api.ops.random.impl.RandomMultinomial

RandomNormal - Class in org.nd4j.linalg.api.ops.random.custom

RandomNormal() - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomNormal

RandomNormal(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomNormal

RandomOp - Interface in org.nd4j.linalg.api.ops

randomOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

RandomPoisson - Class in org.nd4j.linalg.api.ops.random.custom

RandomPoisson(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomPoisson

RandomPoisson(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomPoisson

RandomPoisson(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomPoisson

RandomProjection - Class in org.nd4j.linalg.dimensionalityreduction

RandomProjection(double) - Constructor for class org.nd4j.linalg.dimensionalityreduction.RandomProjection

RandomProjection(double, Random) - Constructor for class org.nd4j.linalg.dimensionalityreduction.RandomProjection

RandomProjection(int) - Constructor for class org.nd4j.linalg.dimensionalityreduction.RandomProjection

RandomProjection(int, Random) - Constructor for class org.nd4j.linalg.dimensionalityreduction.RandomProjection

RandomShuffle - Class in org.nd4j.linalg.api.ops.random.custom

RandomShuffle(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomShuffle

RandomShuffle(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomShuffle

RandomShuffle(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomShuffle

RandomStandardNormal - Class in org.nd4j.linalg.api.ops.random.compat

RandomStandardNormal() - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal

RandomStandardNormal(long[]) - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal

RandomStandardNormal(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal

RandomStandardNormal(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal

RandomStandardNormal(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal

range(double, double, double, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a new variable with a 1d array, where the values start at from and increment by step
up to (but not including) limit.
For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5]

range(double, double, double, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

Create a new variable with a 1d array, where the values start at from and increment by step
up to (but not including) limit.
For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5]

range(String, double, double, double, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a new variable with a 1d array, where the values start at from and increment by step
up to (but not including) limit.
For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5]

range(String, SDVariable, SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a new variable with a 1d array, where the values start at from and increment by step
up to (but not including) limit.
For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5]

range(SDVariable, SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a new variable with a 1d array, where the values start at from and increment by step
up to (but not including) limit.
For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5]

range(INDArray, INDArray, INDArray, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

Create a new variable with a 1d array, where the values start at from and increment by step
up to (but not including) limit.
For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5]

Range - Class in org.nd4j.linalg.api.ops.random.impl

Range() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Range

Range(double, double, double, DataType) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Range

Range(SameDiff, double, double, double, DataType) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Range

Range(SameDiff, SDVariable, SDVariable, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Range

Range(INDArray, INDArray, INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Range

rangeOfLength(INDArrayIndex[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Create a range based on the given indexes.

rank - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo

rank() - Method in class org.nd4j.autodiff.samediff.SDVariable

Get the rank of this variable as a dynamic SDVariable

rank() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rank() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the rank of the ndarray (the number of dimensions).

rank() - Method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

rank(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

rank(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

rank(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns the rank (number of dimensions, i.e., length(shape)) of the specified INDArray as a 0D scalar variable

rank(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Gets the rank given the shape info buffer

rank(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

rank(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns the rank (number of dimensions, i.e., length(shape)) of the specified INDArray as a 0D scalar variable

rank(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Gets the rank given the shape info buffer

rank(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns the rank (number of dimensions, i.e., length(shape)) of the specified INDArray as a 0D scalar variable

Rank - Class in org.nd4j.linalg.api.ops.impl.shape

Rank() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Rank

Rank(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Rank

Rank(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Rank

Rank(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Rank

rankFromShape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Return the rank for the given shape

rankFromShape(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

rarg() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The right argument for this function.

RATIO - org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.SortBy

rationalTanh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Rational Tanh Approximation elementwise function, as described in the paper:
Compact Convolutional Neural Network Cascade for Face Detection
This is a faster Tanh approximation

rationalTanh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Rational Tanh Approximation elementwise function, as described in the paper:
Compact Convolutional Neural Network Cascade for Face Detection
This is a faster Tanh approximation

rationalTanh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Rational Tanh Approximation elementwise function, as described in the paper:
Compact Convolutional Neural Network Cascade for Face Detection
This is a faster Tanh approximation

RationalTanh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

RationalTanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

RationalTanh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

RationalTanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

RationalTanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

RationalTanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

RATIONALTANH - org.nd4j.linalg.activations.Activation

RationalTanhBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

RationalTanhBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhBp

RationalTanhBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhBp

RationalTanhBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhBp

RationalTanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

Deprecated.

RationalTanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative

Deprecated.

RationalTanhDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative

Deprecated.

RationalTanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative

Deprecated.

RationalTanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative

Deprecated.

ravel() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

ravel() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a flattened version (row vector) of this ndarray

ravel(char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

ravel(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a flattened version (row vector) of this ndarray

RAW_DATA_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

RAW_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

RAW_DATA_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

RBM - org.nd4j.linalg.heartbeat.reports.Task.ArchitectureType

rdiv(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.rdiv(String, double)

rdiv(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdiv(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse division with a scalar - i.e., (n / thisArrayValues)

rdiv(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdiv(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse division (number / ndarray)

rdiv(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Scalar reverse division: out = scalar / this
Output variable has the same shape as the input variable

rdiv(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Reverse division operation: elementwise x / this
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.

rdiv(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar reverse division operation, out = scalar / in

rdiv(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise reverse division operation, out = y / x
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

rdiv(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.rdiv(String, SDVariable)

rdiv(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar reverse division operation, out = scalar / in

rdiv(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise reverse division operation, out = y / x
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

rdiv(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdiv(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse division, elements wise.

rdiv(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Scalar reverse division operation, out = scalar / in

rdiv(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdiv(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse division

rdiv(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise reverse division operation, out = y / x
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

rdiv(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast reverse division op.

RDivBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

RDivBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.RDivBpOp

RDivBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.RDivBpOp

rdivColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdivColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse division of a column vector (copy)

rdivi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdivi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place reverse division - i.e., (n / thisArrayValues)

rdivi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdivi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse in place division

rdivi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdivi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse divsion (in place).

rdivi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdivi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse division (in-place)

rdiviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdiviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place reverse divison of a column vector

rdiviRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdiviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place reverse division of a column vector

RDivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

Reverse Division operation

RDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

RDivOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

RDivOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

RDivOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

RDivOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

rdivRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rdivRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse division of a column vector (copy)

read(int) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

read(DataInputStream) - Static method in class org.nd4j.linalg.factory.Nd4j

Read in an ndarray from a data input stream

read(DataInputStream, DataBuffer.AllocationMode, long, DataType) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

read(DataInputStream, DataBuffer.AllocationMode, long, DataType) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

read(InputStream) - Static method in class org.nd4j.linalg.factory.Nd4j

Raad an ndarray from an input stream See Nd4j.read(DataInputStream)

read(InputStream, DataBuffer.AllocationMode, long, DataType) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

read(InputStream, DataBuffer.AllocationMode, long, DataType) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Write this buffer to the input stream.

read(ObjectInputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

read(ObjectInputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

read(SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

read(SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

readBinary(File) - Static method in class org.nd4j.linalg.factory.Nd4j

Read a binary ndarray from the given file

readContent(DataInputStream, DataType, DataType) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

ReaderBaseProtos - Class in org.tensorflow.framework

ReaderBaseState - Class in org.tensorflow.framework

For serializing and restoring the state of ReaderBase, see reader_base.h for details.

ReaderBaseState.Builder - Class in org.tensorflow.framework

For serializing and restoring the state of ReaderBase, see reader_base.h for details.

ReaderBaseStateOrBuilder - Interface in org.tensorflow.framework

readEvents() - Method in class org.nd4j.graph.ui.LogFileWriter

Read all of the events.

readEvents(long) - Method in class org.nd4j.graph.ui.LogFileWriter

Read all of the events starting at a specific file offset

readFromDisk(File) - Static method in class org.nd4j.serde.binary.BinarySerde

Read an ndarray from disk

readHeader(InputStream) - Static method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

readNpy(File) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an INDArray from a given Numpy .npy file.

readNpy(String) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an INDArray from a given Numpy .npy file.

readNumpy(InputStream, String) - Static method in class org.nd4j.linalg.factory.Nd4j

Read line via input streams

readNumpy(DataType, InputStream, String, Charset) - Static method in class org.nd4j.linalg.factory.Nd4j

Read array from input stream.

readNumpy(String) - Static method in class org.nd4j.linalg.factory.Nd4j

Read line via input streams

readNumpy(String, String) - Static method in class org.nd4j.linalg.factory.Nd4j

Read line via input streams

readNumpy(DataType, String) - Static method in class org.nd4j.linalg.factory.Nd4j

Read array.
See Nd4j.readNumpy(DataType, InputStream, String , Charset) with default split and UTF-8 encoding.

readNumpy(DataType, String, String) - Static method in class org.nd4j.linalg.factory.Nd4j

Read array via input stream.

readShapeFromDisk(File) - Static method in class org.nd4j.serde.binary.BinarySerde

This method returns shape databuffer from saved earlier file

readStatic() - Method in class org.nd4j.graph.ui.LogFileWriter

Read all static information at the start of the file

readTxt(String) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

to be removed in 1.0

readTxtString(InputStream) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

To be removed in 1.0

readUnknown(DataInputStream, DataBuffer.AllocationMode, long, DataType) - Static method in class org.nd4j.linalg.compression.CompressedDataBuffer

Drop-in replacement wrapper for BaseDataBuffer.read() method, aware of CompressedDataBuffer

realArguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

RealDivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

RealDivision operation

RealDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RealDivOp

RealDivOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RealDivOp

RealDivOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RealDivOp

reallocate(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

reallocate(long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Reallocate the native memory of the buffer

reallocate(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

REALLOCATE - org.nd4j.linalg.api.memory.enums.SpillPolicy

This policy means - use external allocation for spills + reallocate at the end of loop.

recall() - Method in class org.nd4j.evaluation.classification.Evaluation

Recall based on guesses so far
Note: value returned will differ depending on number of classes and settings.
1.

recall(int) - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the recall for a given label

recall(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the recall (tp / (tp + fn)) for the specified output

recall(int, double) - Method in class org.nd4j.evaluation.classification.Evaluation

Returns the recall for a given label

recall(long, long, double) - Static method in class org.nd4j.evaluation.EvaluationUtils

Calculate the recall from true positive and false negative counts

recall(EvaluationAveraging) - Method in class org.nd4j.evaluation.classification.Evaluation

Calculate the average recall for all classes - can specify whether macro or micro averaging should be used NOTE: if any classes have tp=0 and fn=0, (recall=0/0) these are excluded from the average

RECALL - org.nd4j.evaluation.classification.Evaluation.Metric

RECALL - org.nd4j.evaluation.classification.EvaluationBinary.Metric

reciprocal(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise reciprocal (inverse) function: out[i] = 1 / in[i]

reciprocal(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise reciprocal (inverse) function: out[i] = 1 / in[i]

reciprocal(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise reciprocal (inverse) function: out[i] = 1 / in[i]

Reciprocal - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Reciprocal(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Reciprocal

Reciprocal(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Reciprocal

Reciprocal(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Reciprocal

RECOMPUTATION_HEURISTICS - org.tensorflow.framework.RewriterConfig.MemOptType

Recomputation heuristics will recompute ops (such as Relu activation) during backprop instead of storing them, reducing peak memory usage.

RECOMPUTATION_HEURISTICS_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.MemOptType

Recomputation heuristics will recompute ops (such as Relu activation) during backprop instead of storing them, reducing peak memory usage.

RECONSTRUCTION_CROSSENTROPY - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

RECORD_COSTS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExecutorOpts

RECORD_PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExecutorOpts

RECORD_TIMELINE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExecutorOpts

recordAll() - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener.Builder

If called, all data will be profiled with no limits (other than a warmup, if set)

RectifiedLinear - Class in org.nd4j.linalg.api.ops.impl.scalar

RectifiedLinear() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

RectifiedLinear(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

RectifiedLinear(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

RectifiedLinear(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

RectifiedLinear(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

RectifiedLinear(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

RectifiedLinear(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

RectifiedLinearDerivative - Class in org.nd4j.linalg.api.ops.impl.scalar

RectifiedLinearDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinearDerivative

RectifiedLinearDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinearDerivative

RectifiedLinearDerivative(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinearDerivative

RectifiedLinearDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinearDerivative

rectifiedTanh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Rectified tanh operation: max(0, tanh(in))

rectifiedTanh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Rectified tanh operation: max(0, tanh(in))

rectifiedTanh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Rectified tanh operation: max(0, tanh(in))

RectifiedTanh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

RectifiedTanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

RectifiedTanh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

RectifiedTanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

RectifiedTanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

RectifiedTanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

RECTIFIEDTANH - org.nd4j.linalg.activations.Activation

RectifiedTanhBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

RectifiedTanhBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhBp

RectifiedTanhBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhBp

RectifiedTanhBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhBp

RectifiedTanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

Deprecated.

RectifiedTanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative

Deprecated.

RectifiedTanhDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative

Deprecated.

RectifiedTanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative

Deprecated.

RectifiedTanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative

Deprecated.

RECURRENT - org.nd4j.linalg.heartbeat.reports.Task.ArchitectureType

RECV_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse

RECV_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

RecvBufRequest - Class in org.tensorflow.distruntime

Use of the fields below may vary by implementation.

RecvBufRequest.Builder - Class in org.tensorflow.distruntime

Use of the fields below may vary by implementation.

RecvBufRequestOrBuilder - Interface in org.tensorflow.distruntime

RecvBufResponse - Class in org.tensorflow.distruntime

Use of the fields below may vary by implementation.

RecvBufResponse.Builder - Class in org.tensorflow.distruntime

Use of the fields below may vary by implementation.

RecvBufResponseOrBuilder - Interface in org.tensorflow.distruntime

RecvTensorRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RecvTensorRequest

RecvTensorRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RecvTensorRequest

RecvTensorRequestOrBuilder - Interface in org.tensorflow.distruntime

RecvTensorResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RecvTensorResponse

RecvTensorResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RecvTensorResponse

RecvTensorResponseOrBuilder - Interface in org.tensorflow.distruntime

REDUCE_3 - Static variable in class org.nd4j.graph.OpType

REDUCE_BOOL - org.nd4j.linalg.api.ops.Op.Type

REDUCE_BOOL - Static variable in class org.nd4j.graph.OpType

REDUCE_FLOAT - org.nd4j.linalg.api.ops.Op.Type

REDUCE_FLOAT - Static variable in class org.nd4j.graph.OpType

REDUCE_LONG - org.nd4j.linalg.api.ops.Op.Type

REDUCE_LONG - Static variable in class org.nd4j.graph.OpType

REDUCE_SAME - org.nd4j.linalg.api.ops.Op.Type

REDUCE_SAME - Static variable in class org.nd4j.graph.OpType

REDUCE3 - org.nd4j.linalg.api.ops.Op.Type

reduce3OpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

reduceAMax(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAMax(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))

reduceAmean(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmean(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))

reduceAmin(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

reduceAmin(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))

ReduceBoolOp - Interface in org.nd4j.linalg.api.ops

reduceBoolOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

reducedBasis(double) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA

Return a reduced basis set that covers a certain fraction of the variance of the data

ReduceFloatOp - Interface in org.nd4j.linalg.api.ops

reduceFloatOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

ReduceLongOp - Interface in org.nd4j.linalg.api.ops

reduceLongOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

reduceMax(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array along each dimension

reduceMax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array along each dimension

reduceMax(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array long each dimension

reduceMax(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array long each dimension

reduceMax(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array along each dimension

reduceMax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array along each dimension

reduceMax(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array long each dimension

reduceMax(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The max of an array long each dimension

reduceMax(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

The max of an array along each dimension

reduceMax(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

The max of an array along each dimension

reduceMax(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

The max of an array long each dimension

reduceMax(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

The max of an array long each dimension

ReduceMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta

ReduceMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp

ReduceMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp

ReduceMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp

ReduceMetaOp(ScalarOp, ReduceOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp

ReduceMetaOp(ScalarOp, ReduceOp, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp

reduceMin(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The minimum of an array along each dimension

reduceMin(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The minimum of an array along each dimension

reduceMin(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The minimum of an array long each dimension

reduceMin(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The minimum of an array long each dimension

reduceMin(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The minimum of an array along each dimension

reduceMin(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The minimum of an array along each dimension

reduceMin(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The minimum of an array long each dimension

reduceMin(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

The minimum of an array long each dimension

reduceMin(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

The minimum of an array along each dimension

reduceMin(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

The minimum of an array along each dimension

reduceMin(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

The minimum of an array long each dimension

reduceMin(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

The minimum of an array long each dimension

ReduceOp - Interface in org.nd4j.linalg.api.ops

ReduceSameOp - Interface in org.nd4j.linalg.api.ops

reduceSameOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

REDUCTION - Static variable in class org.nd4j.graph.OpClass

REDUCTION_OP_IMPL - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

REDUCTION_OP_IMPL = 8;

REDUCTION_OP_IMPL_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

REDUCTION_OP_IMPL = 8;

reductionBroadcastableWithOrigShape(int, int[], SDVariable) - Static method in class org.nd4j.autodiff.util.SameDiffUtils

Add 1s as required to the array make an array possible to be broadcast with the original (pre-reduce) array.

reductionBroadcastableWithOrigShape(SDVariable, SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.util.SameDiffUtils

reductionShape(SDVariable, SDVariable, boolean) - Static method in class org.nd4j.autodiff.util.SameDiffUtils

reductionShape(INDArray, int[], boolean, boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

Calculate the shape of the returned array, for a reduction along dimension

ReductionShape - Class in org.nd4j.linalg.api.ops.impl.shape

ReductionShape() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ReductionShape

ReductionShape(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ReductionShape

REF_ATTR_NAME_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

REF_ATTR_NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

referenced - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

REFERENCED_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

references() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Deprecated.

references() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

The referencers pointing to this buffer

REFLECT - org.nd4j.enums.Mode

REFLECT - org.nd4j.enums.PadMode

REFLECT - org.nd4j.linalg.api.ops.impl.transforms.Pad.Mode

registerAllExtensions(ExtensionRegistry) - Static method in class onnx.Onnx

registerAllExtensions(ExtensionRegistry) - Static method in class onnx.OnnxMl

registerAllExtensions(ExtensionRegistry) - Static method in class onnx.OnnxOperators

registerAllExtensions(ExtensionRegistry) - Static method in class org.nd4j.ir.MapperNamespace

registerAllExtensions(ExtensionRegistry) - Static method in class org.nd4j.ir.OpNamespace

registerAllExtensions(ExtensionRegistry) - Static method in class org.nd4j.ir.TensorNamespace

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.distruntime.ClusterProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.distruntime.DistributedRuntimeProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.distruntime.MasterServiceProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.distruntime.ServerProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.distruntime.WorkerProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.distruntime.WorkerServiceProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.AllocationDescriptionProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.ApiDefProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.AttrValueProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.ConfigProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.ControlFlowProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.CostGraphProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.CriticalSectionProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.DebugProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.DeviceAttributesProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.ErrorCodesProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.FunctionProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.GraphProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.GraphTransferInfoProto

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.KernelDefProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.LogMemoryProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.MetaGraphProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.NamedTensorProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.NodeProto

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.OpDefProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.QueueRunnerProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.ReaderBaseProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.ResourceHandle

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.RewriterConfigProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.SavedModelProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.StepStatsProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.SummaryProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TensorDescriptionProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TensorProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TensorShapeProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TensorSliceProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TypesProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.VariableProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.VersionsProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.util.IteratorProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.util.SaverProtos

registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.util.TensorBundleProtos

registerAllExtensions(ExtensionRegistry) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass

registerAllExtensions(ExtensionRegistry) - Static method in class tensorflow.DevicePropertiesProtos

registerAllExtensions(ExtensionRegistry) - Static method in class tensorflow.eager.EagerServiceOuterClass

registerAllExtensions(ExtensionRegistry) - Static method in class tensorflow.TransportOptions

registerAllExtensions(ExtensionRegistryLite) - Static method in class onnx.Onnx

registerAllExtensions(ExtensionRegistryLite) - Static method in class onnx.OnnxMl

registerAllExtensions(ExtensionRegistryLite) - Static method in class onnx.OnnxOperators

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.nd4j.ir.MapperNamespace

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.nd4j.ir.OpNamespace

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.nd4j.ir.TensorNamespace

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ClusterProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.DistributedRuntimeProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.MasterServiceProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.ServerProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.WorkerProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.distruntime.WorkerServiceProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationDescriptionProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDefProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValueProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ConfigProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ControlFlowProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CriticalSectionProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DebugProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceAttributesProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ErrorCodesProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferInfoProto

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDefProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.LogMemoryProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.MetaGraphProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NamedTensorProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeProto

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDefProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.QueueRunnerProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ReaderBaseProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ResourceHandle

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RewriterConfigProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SavedModelProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.StepStatsProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorDescriptionProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TypesProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariableProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VersionsProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.util.IteratorProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.util.SaverProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.util.TensorBundleProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class tensorflow.CheckpointableObjectGraphOuterClass

registerAllExtensions(ExtensionRegistryLite) - Static method in class tensorflow.DevicePropertiesProtos

registerAllExtensions(ExtensionRegistryLite) - Static method in class tensorflow.eager.EagerServiceOuterClass

registerAllExtensions(ExtensionRegistryLite) - Static method in class tensorflow.TransportOptions

registeredEventName(String) - Method in class org.nd4j.graph.ui.LogFileWriter

registerEventName(String) - Method in class org.nd4j.graph.ui.LogFileWriter

Register the event name - "accuracy", "loss", etc for later use in recording events.

registerEventNameQuiet(String) - Method in class org.nd4j.graph.ui.LogFileWriter

registerGraph(long, Pointer) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

registerGraph(long, Pointer) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

RegisterGraphRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RegisterGraphRequest

RegisterGraphRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RegisterGraphRequest

RegisterGraphRequestOrBuilder - Interface in org.tensorflow.distruntime

RegisterGraphResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RegisterGraphResponse

RegisterGraphResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RegisterGraphResponse

RegisterGraphResponseOrBuilder - Interface in org.tensorflow.distruntime

registerLegacyClassDefaultName(Class<? extends IActivation>) - Static method in class org.nd4j.serde.json.LegacyIActivationDeserializer

registerLegacyClassDefaultName(Class<? extends ILossFunction>) - Static method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer

registerLegacyClassSpecifiedName(String, Class<? extends IActivation>) - Static method in class org.nd4j.serde.json.LegacyIActivationDeserializer

registerLegacyClassSpecifiedName(String, Class<? extends ILossFunction>) - Static method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer

RegressionEvaluation - Class in org.nd4j.evaluation.regression

RegressionEvaluation() - Constructor for class org.nd4j.evaluation.regression.RegressionEvaluation

RegressionEvaluation(int, List<String>, long) - Constructor for class org.nd4j.evaluation.regression.RegressionEvaluation

RegressionEvaluation(long) - Constructor for class org.nd4j.evaluation.regression.RegressionEvaluation

Create a regression evaluation object with the specified number of columns, and default precision for the stats() method.

RegressionEvaluation(long, long) - Constructor for class org.nd4j.evaluation.regression.RegressionEvaluation

Create a regression evaluation object with the specified number of columns, and specified precision for the stats() method.

RegressionEvaluation(String...) - Constructor for class org.nd4j.evaluation.regression.RegressionEvaluation

Create a regression evaluation object with default precision for the stats() method

RegressionEvaluation(List<String>) - Constructor for class org.nd4j.evaluation.regression.RegressionEvaluation

Create a regression evaluation object with default precision for the stats() method

RegressionEvaluation(List<String>, long) - Constructor for class org.nd4j.evaluation.regression.RegressionEvaluation

Create a regression evaluation object with specified precision for the stats() method

RegressionEvaluation.Metric - Enum in org.nd4j.evaluation.regression

regularization(List<Regularization>) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the regularization for all trainable parameters in the network.

regularization(Regularization...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the regularization for all trainable parameters in the network.

Regularization - Interface in org.nd4j.linalg.learning.regularization

Regularization.ApplyStep - Enum in org.nd4j.linalg.learning.regularization

ApplyStep determines how the regularization interacts with the optimization process - i.e., when it is applied relative to updaters like Adam, Nesterov momentum, SGD, etc.

RelativeError - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise

RelativeError() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

RelativeError(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

RelativeError(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

RelativeError(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

RelativeError(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

RelativeError(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

RelativeError(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

relativeSquaredError(int) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

release() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

release(INDArray) - Method in class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr

release(INDArray) - Method in class org.nd4j.autodiff.samediff.internal.memory.NoOpMemoryMgr

release(Pointer, MemoryKind) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method releases previously allocated memory chunk

release(INDArray) - Method in interface org.nd4j.autodiff.samediff.internal.SessionMemMgr

Release the array.

ReleaseCallableRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ReleaseCallableRequest

ReleaseCallableRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ReleaseCallableRequest

ReleaseCallableRequestOrBuilder - Interface in org.tensorflow.distruntime

ReleaseCallableResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ReleaseCallableResponse

ReleaseCallableResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ReleaseCallableResponse

ReleaseCallableResponseOrBuilder - Interface in org.tensorflow.distruntime

releaseCurrentContext() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

releaseCurrentContext() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method releases Context (if current backend has one, sure)

released - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

released - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

RelErrorFn - Class in org.nd4j.autodiff.validation.functions

RelErrorFn() - Constructor for class org.nd4j.autodiff.validation.functions.RelErrorFn

ReliabilityDiagram - Class in org.nd4j.evaluation.curves

ReliabilityDiagram(String, @lombok.NonNull double[], @lombok.NonNull double[]) - Constructor for class org.nd4j.evaluation.curves.ReliabilityDiagram

RELOCATE - org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling

Parallel iterator will ignore this producer, and will use other producers.

relocateConstantSpace(DataBuffer) - Method in class org.nd4j.linalg.cache.BasicConstantHandler

relocateConstantSpace(DataBuffer) - Method in interface org.nd4j.linalg.cache.ConstantHandler

PLEASE NOTE: This method implementation is hardware-dependant.

relu(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise rectified linear function with specified cutoff:
out[i] = in[i] if in[i] >= cutoff
out[i] = 0 otherwise

relu(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise rectified linear function with specified cutoff:
out[i] = in[i] if in[i] >= cutoff
out[i] = 0 otherwise

relu(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

relu(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

relu(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise rectified linear function with specified cutoff:
out[i] = in[i] if in[i] >= cutoff
out[i] = 0 otherwise

RELU - org.nd4j.enums.CellAct

RELU - org.nd4j.enums.GateAct

RELU - org.nd4j.enums.OutAct

RELU - org.nd4j.linalg.activations.Activation

RELU - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

RELU - org.nd4j.weightinit.WeightInit

RELU_UNIFORM - org.nd4j.weightinit.WeightInit

relu6(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise "rectified linear 6" function with specified cutoff:
out[i] = min(max(in, cutoff), 6)

relu6(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise "rectified linear 6" function with specified cutoff:
out[i] = min(max(in, cutoff), 6)

relu6(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

relu6(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

relu6(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise "rectified linear 6" function with specified cutoff:
out[i] = min(max(in, cutoff), 6)

Relu6 - Class in org.nd4j.linalg.api.ops.impl.scalar

Relu6() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Relu6

Relu6(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Relu6

Relu6(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Relu6

Relu6(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Relu6

Relu6(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Relu6

Relu6(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Relu6

Relu6(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Relu6

RELU6 - org.nd4j.linalg.activations.Activation

Relu6Derivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

Relu6Derivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

Relu6Derivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

Relu6Derivative(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

Relu6Derivative(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

ReluInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: randn(shape) //N(0, 2/nIn);

ReluInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.ReluInitScheme

reluLayer(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

ReLU (Rectified Linear Unit) layer operation: out = relu(mmul(in,w) + bias)
Note that bias array is optional

reluLayer(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

ReLU (Rectified Linear Unit) layer operation: out = relu(mmul(in,w) + bias)
Note that bias array is optional

reluLayer(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

ReLU (Rectified Linear Unit) layer operation: out = relu(mmul(in,w) + bias)
Note that bias array is optional

ReluLayer - Class in org.nd4j.linalg.api.ops.impl.transforms

ReluLayer(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReluLayer

ReluLayer(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReluLayer

ReluUniformInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: U(-sqrt(6/fanIn), sqrt(6/fanIn)

ReluUniformInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.ReluUniformInitScheme

remainder(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

remainder(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

The scalar remainder

remainder(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

remainder(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

The scalar remainder

remainder(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

remainder(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Remainder operator

remainder(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

remainder(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Remainder operator

remainderi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

remainderi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place remainder

remainderi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

remainderi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place remainder

RemainderOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

RemainderOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

RemainderOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

RemainderOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

RemainderOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

RemainderOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

RemainderOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

RemainderOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

RemainderOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

REMAPPING_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

REMOTE_DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ListDevicesResponse

REMOTE_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

RemoteFusedGraphExecuteInfo - Class in org.tensorflow.framework

Protocol buffer representing a handle to a tensorflow resource.

RemoteFusedGraphExecuteInfo.Builder - Class in org.tensorflow.framework

Protocol buffer representing a handle to a tensorflow resource.

RemoteFusedGraphExecuteInfo.TensorShapeTypeProto - Class in org.tensorflow.framework

Protobuf type tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder - Interface in org.tensorflow.framework

RemoteFusedGraphExecuteInfoOrBuilder - Interface in org.tensorflow.framework

RemoteFusedGraphExecuteInfoProto - Class in org.tensorflow.framework

remove() - Method in class org.nd4j.linalg.api.iter.FirstAxisIterator

remove() - Method in class org.nd4j.linalg.api.iter.FlatIterator

remove() - Method in class org.nd4j.linalg.api.iter.INDArrayIterator

remove() - Method in class org.nd4j.linalg.api.iter.NdIndexIterator

remove() - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

remove() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

remove() - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

remove() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

remove() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

remove() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

remove() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

Removes from the underlying collection the last element returned by this iterator (optional operation).

remove() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

remove() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

remove() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

remove() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Removes from the underlying collection the last element returned by this iterator (optional operation).

remove() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

Removes from the underlying collection the last element returned by this iterator (optional operation).

remove() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

remove() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

remove() - Method in class org.nd4j.linalg.dataset.ViewIterator

remove(int) - Method in class org.nd4j.list.BaseNDArrayList

remove(int) - Method in class org.nd4j.list.NDArrayList

remove(Object) - Method in class org.nd4j.list.BaseNDArrayList

remove(Object) - Method in class org.nd4j.list.NDArrayList

remove(SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

remove(SDVariable, int) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

remove(SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

removeAll(Collection<?>) - Method in class org.nd4j.list.BaseNDArrayList

removeAll(Collection<?>) - Method in class org.nd4j.list.NDArrayList

removeAllocationRecords(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

removeArgDescriptor(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

removeArgFromOp(String, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Remove an argument for a function.

removeArgumentInterceptor() - Method in class org.nd4j.autodiff.samediff.SameDiff

Remote the top (most recently added) argument interceptor

removeArray(String) - Method in class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder

removeArray(String) - Method in class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder

removeArray(String) - Method in class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

removeArray(String) - Method in interface org.nd4j.autodiff.samediff.ArrayHolder

Remove the array from the ArrayHolder, returning it (if it exists)

removeAssetFileDef(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

removeAttr(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

removeAttr(int) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

removeAttr(String) - Method in class org.tensorflow.framework.FunctionDef.Builder

Attributes specific to this function definition.

removeAttr(String) - Method in class org.tensorflow.framework.NameAttrList.Builder

map<string, .tensorflow.AttrValue> attr = 2;

removeAttr(String) - Method in class org.tensorflow.framework.NodeDef.Builder

Operation-specific graph-construction-time configuration.

removeAttribute(int) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

removeAttribute(int) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

removeAttributes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

removeAttrs(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

map<string, .tensorflow.AttrValue> attrs = 5;

removeChildren(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

removeCollectionDef(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

collection_def: Map from collection name to collections.

removeConstNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

removeConstraint(int) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

removeCustomOptimizers(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

removeDebugTensorWatchOpts(int) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

removeDefaultGraphInputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

removeDefaultGraphOutputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

removeDependency(T, D) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

Remove a dependency (x -> y)

removeDeviceAttributes(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

removeDeviceAttributes(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

removeDeviceCount(String) - Method in class org.tensorflow.framework.ConfigProto.Builder

Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.

removeDevStats(int) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

removeDim(int) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

removeDim(int) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

removeDim(int) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

removeDim(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

removeEndpoint(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

removeEnvironment(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Version of the tools and libraries used with this device (e.g.

removeExtent(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

removeExternalData(int) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

removeExternalData(int) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

removeExternalData(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

removeExternalValues(String) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names referenced by but external to this context.

removeFeed(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

removeFeed(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

removeFetch(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

removeForEach(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

removeForEach(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

removeForEach(K) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

removeForEach(T) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

removeForEachResult(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

removeForEachResult(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

removeForEachResult(K) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

removeForEachResult(T) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

removeFromTensorArray(SameDiff, SDVariable) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Remove the last element from the relevant TensorArray

removeFromTensorArray(SameDiff, SDVariable, SDVariable) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Remove an element from the relevant TensorArray

removeFromTensorArray(SameDiff, SDVariable, SDVariable, String) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Remove an element from the relevant TensorArray

removeFunc(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

removeFunction(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

removeFunctions(int) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

removeFunctions(int) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

removeFunctions(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

removeGradient(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

removeGraphInputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

removeGraphOutputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

removeGraphs(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

removeGraphs(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

removeGroup(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

removeGroup(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

removeGroup(K) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

removeGroup(T) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

removeGroupReturn(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

removeGroupReturn(K) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

removeGroupReturn(K) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

removeGroupReturn(K, Predicate<V>) - Method in class org.nd4j.autodiff.samediff.internal.DependencMapLinkedHash

removeGroupReturn(K, Predicate<V>) - Method in class org.nd4j.autodiff.samediff.internal.DependencyMapIdentity

removeGroupReturn(K, Predicate<V>) - Method in class org.nd4j.autodiff.samediff.internal.memory.DependencyMap

removeGroupReturn(T) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

removeGroupReturn(T, Predicate<D>) - Method in interface org.nd4j.autodiff.samediff.internal.IDependencyMap

removeIArgument(Integer) - Method in interface org.nd4j.linalg.api.ops.CustomOp

removeIArgument(Integer) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

RemoveIdentityOps() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.IdentityFunctionOptimizations.RemoveIdentityOps

RemoveIdentityPermute() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.IdentityFunctionOptimizations.RemoveIdentityPermute

removeInArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

removeIndexOverrides(long) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

map<int64, int64> indexOverrides = 5;

removeInitializationBinding(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

removeInitializationBinding(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

removeInitializer(int) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

removeInitializer(int) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

removeInput(int) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

removeInput(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

removeInputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

removeInputArgument(INDArray) - Method in interface org.nd4j.linalg.api.ops.CustomOp

removeInputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

removeInputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

removeInputs(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

removeInputs(String) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named input parameters.

removeInputToOutput(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

map<string, string> inputToOutput = 17;

removeInstances(List<?>, Class<?>) - Static method in class org.nd4j.autodiff.samediff.TrainingConfig

Remove any instances of the specified type from the list.

removeInstancesWithWarning(List<?>, Class<?>, String) - Static method in class org.nd4j.autodiff.samediff.TrainingConfig

removeItemFromSequence(String, int) - Method in class org.nd4j.autodiff.samediff.SameDiff

Removes the item from the sequence for name at the specified index.

removeJob(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

removeLink(int) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

removeLocalDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

removeMappings(int) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

removeMemory(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

removeMetadataProps(int) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

removeMetadataProps(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

removeMetaGraphs(int) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

removeNestedContexts(int) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

removeNestedContexts(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

removeNode(int) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

removeNode(int) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

removeNode(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

removeNode(int) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

removeNode(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

removeNode(int) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

removeNodeDef(int) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

removeNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

removeNodeInput(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

removeNodeInputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

removeNodeOutputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

removeNodes(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

removeNodeStats(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

removeOp(int) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

removeOp(int) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

removeOp(SameDiff, String) - Static method in class org.nd4j.autodiff.samediff.optimize.optimizations.OptimizationUtils

removeOperator(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

removeOpList(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

removeOpsetImport(int) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

removeOpsetImport(int) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

removeOpsetImport(int) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

removeOpsetImport(int) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

removeOutArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

removeOutput(int) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

removeOutput(int) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

removeOutput(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

removeOutputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

removeOutputArgument(INDArray) - Method in interface org.nd4j.linalg.api.ops.CustomOp

removeOutputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

removeOutputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

removeOutputs(String) - Method in class org.tensorflow.framework.SignatureDef.Builder

Named output parameters.

removeParameterMap(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

map<string, .tensorflow.AttrValue> parameter_map = 2;

removePartitionGraph(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

removePartitionGraphs(int) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

removeQuantizationAnnotation(int) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

removeQuantizationAnnotation(int) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

removeQuantParameterTensorNames(int) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

removeQuantParameterTensorNames(int) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

removeQueue(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

removeRecv(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

removeReferencedTensor(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

removeReferencing(String) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Deprecated.

removeReferencing(String) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Remove the referenced id if it exists

removeRemoteDevice(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

removeResourceHandleVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

removeRet(String) - Method in class org.tensorflow.framework.FunctionDef.Builder

A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.

removeRule(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

removeSArgument(String) - Method in interface org.nd4j.linalg.api.ops.CustomOp

removeSArgument(String) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

removeSend(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

removeSessionInterOpThreadPool(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

removeShape(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

removeSignatureDef(String) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

signature_def: Map from user supplied key for a signature to a single SignatureDef.

removeSlices(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

removeSlotVariables(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

removeSourceFiles(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

removeSparseInitializer(int) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

removeSparseInitializer(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

removeSparseTensors(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

removeSparseTensors(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

removeStep(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

removeStepSequence(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

removeTArgument(Double) - Method in interface org.nd4j.linalg.api.ops.CustomOp

removeTArgument(Double) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

removeTasks(int) - Method in class org.tensorflow.distruntime.JobDef.Builder

Mapping from task ID to "hostname:port" string.

removeTensor(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

removeTensor(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

removeTensorConnection(int) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

removeTensors(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

removeTensors(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

removeTensors(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

removeTrainingInfo(int) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

removeTrainingInfo(int) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

removeTransformerArgs(int) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

removeTransformerArgs(int) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

removeTypeProtos(int) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

removeTypeProtos(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

RemoveUnusedConstants() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.UnusedFunctionOptimizations.RemoveUnusedConstants

removeUpdateBinding(int) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

removeUpdateBinding(int) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

removeValue(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

removeValue(int) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

removeValueInfo(int) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

removeValueInfo(int) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

removeVariable(SameDiff, String) - Static method in class org.nd4j.autodiff.samediff.optimize.optimizations.OptimizationUtils

removeVariantVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

removeVirtualDevices(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

rename(String, String) - Method in class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder

rename(String) - Method in class org.nd4j.autodiff.samediff.SDVariable

Rename this variable to a new name.

rename(String, String) - Method in class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

rename(String, String) - Method in class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder

rename(String, String) - Method in interface org.nd4j.autodiff.samediff.ArrayHolder

Rename the entry with the specified name

RENAME_TO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Arg

RENAME_TO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Attr

renameVariable(String, String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Rename the specified variable to the new name.

renameVariable(SameDiffOp, String, String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Rename the specified variable to the new name.

renderTree() - Method in class org.nd4j.linalg.profiler.data.StackAggregator

renderTree(boolean) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree

renderTree(boolean) - Method in class org.nd4j.linalg.profiler.data.StackAggregator

RENDEZVOUS_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest

repeat(int, long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

repeat(int, long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Repeat elements along a specified dimension.

repeat(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

A tensor with the shape of input minus the specified axis with elements repeated along the specified axis.

repeat(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

A tensor with the shape of input minus the specified axis with elements repeated along the specified axis.

repeat(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an n x (shape) ndarray where the ndarray is repeated num times

repeat(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

A tensor with the shape of input minus the specified axis with elements repeated along the specified axis.

Repeat - Class in org.nd4j.linalg.api.ops.impl.shape

Repeat(int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat

Repeat(SameDiff, SDVariable[], boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat

Repeat(SameDiff, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat

Repeat(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat

Repeat(INDArray[], INDArray[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat

Repeat(INDArray[], INDArray[], List<Double>, List<Integer>, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat

Repeat(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat

replaceArg(int, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Replace argument at the specified index

replaceArgFor(int, SDVariable, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff

Replaces the argument at i with newArg for function Does not use (or remove) ArgumentInterceptor stuff

ReplaceNans - Class in org.nd4j.linalg.api.ops.impl.scalar

ReplaceNans() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

ReplaceNans(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

ReplaceNans(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

ReplaceNans(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

ReplaceNans(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

replaceOpInputsWith(SameDiff, String, String) - Static method in class org.nd4j.autodiff.samediff.optimize.optimizations.OptimizationUtils

replaceSubgraphsMatching(SameDiff, SubGraphPredicate, SubGraphProcessor) - Static method in class org.nd4j.autodiff.samediff.transform.GraphTransformUtil

Find all of the subgraphs that match the specified SubGraphPredicate and then replace them with a different subgraph.
Note that the original SameDiff instance is not modified; a copy is made, which is then modified and returned.

replaceWhere(INDArray, Number, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

This method does element-wise assessing for 2 equal-sized matrices, for each element that matches Condition

replaceWhere(INDArray, INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

This method does element-wise comparison for 2 equal-sized matrices, for each element that matches Condition

replaceWhere(String, SDVariable, double, Condition) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise replace where condition:
out[i] = value if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied

replaceWhere(String, SDVariable, SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise replace where condition:
out[i] = from[i] if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied

replaceWhere(SDVariable, double, Condition) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise replace where condition:
out[i] = value if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied

replaceWhere(SDVariable, SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise replace where condition:
out[i] = from[i] if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied

replaceWhere(INDArray, double, Condition) - Method in class org.nd4j.linalg.factory.ops.NDBase

Element-wise replace where condition:
out[i] = value if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied

replaceWhere(INDArray, INDArray, Condition) - Method in class org.nd4j.linalg.factory.ops.NDBase

Element-wise replace where condition:
out[i] = from[i] if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied

replaceWhere(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

replaceWhere(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Replaces all elements in this ndarray that are matching give condition, with corresponding elements from given array

replicateToDevice(Integer, DataBuffer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method replicates given DataBuffer, and places it to target device.

replicateToDevice(Integer, DataBuffer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

This method replicates given DataBuffer, and places it to target device.

replicateToDevice(Integer, INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method replicates given INDArray, and places it to target device.

replicateToDevice(Integer, INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

This method replicates given INDArray, and places it to target device.

repmat(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Deprecated.

repmat(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Deprecated.

repmat(long[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

repmat(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Replicate and tile array to fill out to the given shape See: https://github.com/numpy/numpy/blob/master/numpy/matlib.py#L310-L358

REPORT_TENSOR_ALLOCATIONS_UPON_OOM_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExecutorOpts

REPORT_TENSOR_ALLOCATIONS_UPON_OOM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunOptions

reportEvent(Event, Environment, Task) - Method in class org.nd4j.linalg.heartbeat.Heartbeat

REPRODUCE - org.nd4j.autodiff.listeners.debugging.ExecDebuggingListener.PrintMode

ReqOutputDep() - Constructor for class org.nd4j.autodiff.samediff.internal.InferenceSession.ReqOutputDep

REQUEST_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest

REQUESTED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription

requiredShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Returns the required shape for elements in this tensor array.

requiredVariables() - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations

Get the required variables for these evaluations

requiredVariables(Operation) - Method in class org.nd4j.autodiff.listeners.ListenerVariables

Get required variables for specified op

requiredVariables(SameDiff) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

requiredVariables(SameDiff) - Method in class org.nd4j.autodiff.listeners.BaseListener

requiredVariables(SameDiff) - Method in interface org.nd4j.autodiff.listeners.Listener

Required variables for this listener.

requireVariables(Operation, String...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for the specified op

requireVariables(Operation, SDVariable...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for the specified op

reSeed() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

Identical to setSeed(System.currentTimeMillis());

reSeed() - Method in interface org.nd4j.linalg.api.rng.Random

This method is similar to setSeed() but it doesn't really touches underlying buffer, if any.

reSeed(long) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

Identical to setSeed(seed);

reSeed(long) - Method in interface org.nd4j.linalg.api.rng.Random

This method is similar to setSeed() but it doesn't really touches underlying buffer, if any.

reseedRandomGenerator(long) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

Reseed the random generator used to generate samples.

reseedRandomGenerator(long) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Reseed the random generator used to generate samples.

reset() - Method in class org.nd4j.evaluation.classification.Evaluation

reset() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

reset() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

reset() - Method in class org.nd4j.evaluation.classification.ROC

reset() - Method in class org.nd4j.evaluation.classification.ROCBinary

reset() - Method in class org.nd4j.evaluation.classification.ROCMultiClass

reset() - Method in class org.nd4j.evaluation.custom.CustomEvaluation

reset() - Method in interface org.nd4j.evaluation.IEvaluation

reset() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

reset() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method reset host/device offsets within workspace PLEASE NOTE: Never call this method unless you realize all consequences

reset() - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

reset() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

reset() - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

reset() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

reset() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

reset() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Resets the iterator back to the beginning

reset() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

reset() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

Returns the fetcher back to the beginning of the dataset

reset() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

Shuffles the dataset and resets to the first fold

reset() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator

Resets the iterator back to the beginning

reset() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

Resets the iterator back to the beginning

reset() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

reset() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

reset() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

reset() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Resets the iterator back to the beginning

reset() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

Resets the iterator back to the beginning

reset() - Method in interface org.nd4j.linalg.dataset.callbacks.DataSetCallback

reset() - Method in class org.nd4j.linalg.dataset.callbacks.DefaultCallback

reset() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

reset() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

reset() - Method in class org.nd4j.linalg.dataset.ViewIterator

reset() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree

reset() - Method in class org.nd4j.linalg.profiler.data.StackAggregator

reset() - Method in class org.nd4j.linalg.profiler.data.StringAggregator

reset() - Method in class org.nd4j.linalg.profiler.data.StringCounter

reset() - Method in class org.nd4j.linalg.profiler.OpProfiler

This method resets all counters

RESET - org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling

Parallel iterator will silently reset underlying producer

resetPlanned - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

ResetPolicy - Enum in org.nd4j.linalg.api.memory.enums

ResetRequest - Class in org.tensorflow.distruntime

Reset() allows misbehaving or slow sessions to be aborted and closed, and causes their resources eventually to be released.

ResetRequest.Builder - Class in org.tensorflow.distruntime

Reset() allows misbehaving or slow sessions to be aborted and closed, and causes their resources eventually to be released.

ResetRequestOrBuilder - Interface in org.tensorflow.distruntime

ResetResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ResetResponse

ResetResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.ResetResponse

ResetResponseOrBuilder - Interface in org.tensorflow.distruntime

resetSupported() - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

resetSupported() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

resetSupported() - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

resetSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't

resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

resetSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator

Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't

resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

resetSupported() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't

resetSupported() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't

resetSupported() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

resetSupported() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

resetSupported() - Method in class org.nd4j.linalg.dataset.ViewIterator

resetWorkspace() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

reshape(char, boolean, long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

reshape(char, boolean, long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reshapes the ndarray (note: it's not possible to change the length of the ndarray).

reshape(char, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Deprecated.

reshape(char, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reshapes the ndarray (can't change the length of the ndarray).

reshape(char, int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

reshape(char, int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reshapes the ndarray (can't change the length of the ndarray).

reshape(char, long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

reshape(char, long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reshapes the ndarray (can't change the length of the ndarray).

reshape(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Reshape the current variable to the specified shape.

reshape(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Reshape the ndarray in to the specified dimensions, possible errors being thrown for invalid shapes Note here that one dimension can be -1.

reshape(int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

See INDArray.reshape(long[])

reshape(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

reshape(int, int) - Method in class org.nd4j.linalg.dataset.DataSet

Reshapes the input in to the given rows and columns

reshape(long...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Reshape the current variable to the specified shape.

reshape(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

reshape(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reshapes the ndarray (can't change the length of the ndarray).

reshape(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

reshape(long, long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reshapes the ndarray (can't change the length of the ndarray).

reshape(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Reshape the current variable to the specified (dynamic) shape.

reshape(String, SDVariable, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reshape the input variable to the specified (fixed) shape.

reshape(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reshape the input variable to the specified (fixed) shape.

reshape(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Reshape the current variable to the specified (dynamic) shape.

reshape(SDVariable, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reshape the input variable to the specified (fixed) shape.

reshape(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reshape the input variable to the specified (fixed) shape.

reshape(INDArray, long...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Reshape the input variable to the specified (fixed) shape.

reshape(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Reshape the input variable to the specified (fixed) shape.

Reshape - Class in org.nd4j.linalg.api.ops.impl.shape

Reshape(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape

Reshape(SameDiff, SDVariable, long[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape

Reshape(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape

Reshape(INDArray, long...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape

Reshape(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape

reshapeAndExtractNotMasked(INDArray, INDArray, INDArray, int) - Static method in class org.nd4j.evaluation.BaseEvaluation

reshapeTimeSeriesMaskToVector(INDArray) - Static method in class org.nd4j.evaluation.EvaluationUtils

Reshape time series mask arrays.

reshapeTimeSeriesTo2d(INDArray) - Static method in class org.nd4j.evaluation.EvaluationUtils

ResizeArea - Class in org.nd4j.linalg.api.ops.impl.image

ResizeArea - org.nd4j.enums.ImageResizeMethod

ResizeArea(SameDiff, SDVariable, int, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ResizeArea

ResizeArea(INDArray, INDArray, int, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ResizeArea

resizeBiCubic(String, SDVariable, SDVariable, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Resize images to size using the specified method.

resizeBiCubic(SDVariable, SDVariable, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Resize images to size using the specified method.

resizeBiCubic(INDArray, INDArray, boolean, boolean) - Method in class org.nd4j.linalg.factory.ops.NDImage

Resize images to size using the specified method.

ResizeBicubic - Class in org.nd4j.linalg.api.ops.impl.image

ResizeBicubic - org.nd4j.enums.ImageResizeMethod

ResizeBicubic(SameDiff, SDVariable, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic

ResizeBicubic(INDArray, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic

resizeBiLinear(String, SDVariable, int, int, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Resize images to size using the specified method.

resizeBiLinear(SDVariable, int, int, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Resize images to size using the specified method.

resizeBiLinear(INDArray, int, int, boolean, boolean) - Method in class org.nd4j.linalg.factory.ops.NDImage

Resize images to size using the specified method.

ResizeBilinear - Class in org.nd4j.linalg.api.ops.impl.image

ResizeBilinear - org.nd4j.enums.ImageResizeMethod

ResizeBilinear(SameDiff, SDVariable, int, int, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

ResizeBilinear(INDArray, INDArray, int, int, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

ResizeBilinear(INDArray, int, int, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

ResizeGaussian - org.nd4j.enums.ImageResizeMethod

ResizeLanczos3 - org.nd4j.enums.ImageResizeMethod

ResizeLanczos5 - org.nd4j.enums.ImageResizeMethod

ResizeMitchellcubic - org.nd4j.enums.ImageResizeMethod

ResizeNearest - org.nd4j.enums.ImageResizeMethod

ResizeNearestNeighbor - Class in org.nd4j.linalg.api.ops.impl.image

ResizeNearestNeighbor() - Constructor for class org.nd4j.linalg.api.ops.impl.image.ResizeNearestNeighbor

resolve(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Given an all index and the intended indexes, return an index array containing a combination of all elements for slicing and overriding particular indexes where necessary

resolve(long[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

resolve(INDArray, INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Given an all index and the intended indexes, return an index array containing a combination of all elements for slicing and overriding particular indexes where necessary

resolve(INDArrayIndex[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Given an all index and the intended indexes, return an index array containing a combination of all elements for slicing and overriding particular indexes where necessary

resolveLong(long[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Given an all index and the intended indexes, return an index array containing a combination of all elements for slicing and overriding particular indexes where necessary

resolveNegativeShapeIfNeccessary(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

RESOURCE_EXHAUSTED - org.tensorflow.framework.Code

Some resource has been exhausted, perhaps a per-user quota, or perhaps the entire file system is out of space.

RESOURCE_EXHAUSTED_VALUE - Static variable in enum org.tensorflow.framework.Code

Some resource has been exhausted, perhaps a per-user quota, or perhaps the entire file system is out of space.

RESOURCE_HANDLE_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

ResourceHandle - Class in org.tensorflow.framework

ResourceHandleProto - Class in org.tensorflow.framework

Protocol buffer representing a handle to a tensorflow resource.

ResourceHandleProto.Builder - Class in org.tensorflow.framework

Protocol buffer representing a handle to a tensorflow resource.

ResourceHandleProtoOrBuilder - Interface in org.tensorflow.framework

restore(File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer

Restore a normalizer from the given file

restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy

restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy

Restore a MultiNormalizerHybrid that was previously serialized by this strategy

restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy

Restore a MultiNormalizerMinMaxScaler that was previously serialized by this strategy

restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy

Restore a MultiNormalizerStandardize that was previously serialized by this strategy

restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer

Restore a normalizer from an input stream

restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy

restore(String) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer

Restore a normalizer from the given path

restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.ImagePreProcessingSerializerStrategy

restore(InputStream) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy

Restore a normalizer that was previously serialized by this strategy

RESTORE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.util.SaverDef

restoreLogFile() - Method in class org.nd4j.autodiff.listeners.impl.UIListener

RestoreV2 - Class in org.nd4j.linalg.api.ops.persistence

RestoreV2() - Constructor for class org.nd4j.linalg.api.ops.persistence.RestoreV2

resultAt(int) - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

ResultLambda<T> - Interface in org.nd4j.evaluation.custom

resultOrValueAt(int, boolean) - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

resultType() - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp

resultType() - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp

resultType() - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp

resultType() - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp

resultType() - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp

resultType() - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp

resultType() - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp

resultType() - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp

resultType() - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp

resultType() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

resultType() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

resultType() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

resultType() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

resultType() - Method in interface org.nd4j.linalg.api.ops.ReduceOp

This method returns datatype for result array wrt given inputs

resultType() - Method in interface org.nd4j.linalg.api.ops.TransformOp

This method returns datatype for result array wrt given inputs

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

resultType(OpContext) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

resultType(OpContext) - Method in interface org.nd4j.linalg.api.ops.ReduceOp

resultType(OpContext) - Method in interface org.nd4j.linalg.api.ops.TransformOp

RET_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDef

retainAll(Collection<?>) - Method in class org.nd4j.list.BaseNDArrayList

retainAll(Collection<?>) - Method in class org.nd4j.list.NDArrayList

RETURN - org.nd4j.linalg.api.ops.Op.Type

reverse - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

reverse - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

reverse - Variable in class org.nd4j.linalg.api.ops.impl.transforms.NthElement

reverse() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

Reverse the indexes

reverse() - Method in class org.nd4j.linalg.indexing.IntervalIndex

reverse() - Method in class org.nd4j.linalg.indexing.NDArrayIndex

reverse() - Method in class org.nd4j.linalg.indexing.NewAxis

reverse() - Method in class org.nd4j.linalg.indexing.PointIndex

reverse() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

reverse(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reverse the values of an array for the specified dimensions
If input is:
[ 1, 2, 3]
[ 4, 5, 6]
then
reverse(in, 0):
[3, 2, 1]
[6, 5, 4]
reverse(in, 1):
[4, 5, 6]
[1, 2 3]

reverse(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reverse the values of an array for the specified dimensions
If input is:
[ 1, 2, 3]
[ 4, 5, 6]
then
reverse(in, 0):
[3, 2, 1]
[6, 5, 4]
reverse(in, 1):
[4, 5, 6]
[1, 2 3]

reverse(INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc

reverse(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc

reverse(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc

reverse(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

reverse(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Reverse the values of an array for the specified dimensions
If input is:
[ 1, 2, 3]
[ 4, 5, 6]
then
reverse(in, 0):
[3, 2, 1]
[6, 5, 4]
reverse(in, 1):
[4, 5, 6]
[1, 2 3]

Reverse - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Reverse() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

Reverse(SameDiff, SDVariable, @lombok.NonNull int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

Reverse(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

Inplace reverse.

Reverse(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

This constructor allows to specify axis for Reverse operation

Reverse(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

Reverses whole array for compatibility with OldReverse.

Reverse(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

This constructor allows to specify axis for Reverse operation

REVERSE_DIVIDE - org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate.UpdateOp

REVERSE_SUBTRACT - org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate.UpdateOp

ReverseBp - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

ReverseBp(SameDiff, SDVariable, SDVariable, @lombok.NonNull int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseBp

reverseSequence(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reverse sequence op: for each slice along dimension seqDimension, the first seqLength values are reversed

reverseSequence(String, SDVariable, SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reverse sequence op: for each slice along dimension seqDimension, the first seqLength values are reversed

reverseSequence(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reverse sequence op: for each slice along dimension seqDimension, the first seqLength values are reversed

reverseSequence(SDVariable, SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Reverse sequence op: for each slice along dimension seqDimension, the first seqLength values are reversed

reverseSequence(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Reverse sequence op: for each slice along dimension seqDimension, the first seqLength values are reversed

reverseSequence(INDArray, INDArray, int, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Reverse sequence op: for each slice along dimension seqDimension, the first seqLength values are reversed

ReverseSequence - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

ReverseSequence() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

ReverseSequence(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

ReverseSequence(SameDiff, SDVariable, SDVariable, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

ReverseSequence(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

ReverseSequence(INDArray, INDArray, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

ReverseV2 - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

ReverseV2() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2

revert(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Revert the data to what it was before transform

revert(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Undo (revert) the normalization applied by this DataNormalization instance (arrays are modified in-place)

revert(INDArray, INDArray, DistributionStats) - Method in class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy

Denormalize a data array

revert(INDArray, INDArray, MinMaxStats) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy

Denormalize a data array

revert(INDArray, INDArray, S) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.NormalizerStrategy

Denormalize a data array

revert(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Revert the data to what it was before transform

revert(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

revert(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

revert(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

revert(T) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer

Undo (revert) the normalization applied by this DataNormalization instance (arrays are modified in-place)

revertFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Undo (revert) the normalization applied by this normalizer to the features arrays

revertFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Undo (revert) the normalization applied by this DataNormalization instance to the entire inputs array

revertFeatures(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Undo (revert) the normalization applied by this normalizer to the features arrays

revertFeatures(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Undo (revert) the normalization applied by this DataNormalization instance to the entire inputs array

revertFeatures(INDArray[], INDArray[], int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Undo (revert) the normalization applied by this DataNormalization instance to the features of a particular input

revertFeatures(INDArray, INDArray, int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Undo (revert) the normalization applied by this normalizer to a specific features array.

revertFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

revertFeatures(INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Undo (revert) the normalization applied by this DataNormalization instance to the specified features array

revertFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

revertFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

revertFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

revertFeatures(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization

Undo (revert) the normalization applied by this DataNormalization instance to the specified features array

revertFeatures(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

revertFeatures(INDArray[], INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization

Undo (revert) the normalization applied by this DataNormalization instance to the specified features array

revertFeatures(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

revertFeatures(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Undo (revert) the normalization applied by this DataNormalization instance to the specified features array

revertFeatures(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

revertFeatures(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

revertLabels(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Undo (revert) the normalization applied by this DataNormalization instance to the entire outputs array

revertLabels(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Undo (revert) the normalization applied by this normalizer to the labels arrays.

revertLabels(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Undo (revert) the normalization applied by this DataNormalization instance to the entire outputs array

revertLabels(INDArray[], INDArray[], int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Undo (revert) the normalization applied by this DataNormalization instance to the labels of a particular output

revertLabels(INDArray, INDArray, int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Undo (revert) the normalization applied by this normalizer to a specific labels array.

revertLabels(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.

revertLabels(INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.

revertLabels(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

revertLabels(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

revertLabels(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.

revertLabels(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

revertLabels(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization

Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.

revertLabels(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

revertLabels(INDArray[], INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization

Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.

revertLabels(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

revertLabels(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.

revertLabels(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

revertLabels(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

REWRITE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphOptions

RewriterConfig - Class in org.tensorflow.framework

Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.

RewriterConfig.Builder - Class in org.tensorflow.framework

Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.

RewriterConfig.CustomGraphOptimizer - Class in org.tensorflow.framework

Message to describe custom graph optimizer and its parameters

RewriterConfig.CustomGraphOptimizer.Builder - Class in org.tensorflow.framework

Message to describe custom graph optimizer and its parameters

RewriterConfig.CustomGraphOptimizerOrBuilder - Interface in org.tensorflow.framework

RewriterConfig.MemOptType - Enum in org.tensorflow.framework

Protobuf enum tensorflow.RewriterConfig.MemOptType

RewriterConfig.NumIterationsType - Enum in org.tensorflow.framework

Enum controlling the number of times to run optimizers.

RewriterConfig.Toggle - Enum in org.tensorflow.framework

Protobuf enum tensorflow.RewriterConfig.Toggle

RewriterConfigOrBuilder - Interface in org.tensorflow.framework

RewriterConfigProtos - Class in org.tensorflow.framework

RgbToGrayscale - Class in org.nd4j.linalg.api.ops.custom

RgbToGrayscale(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.RgbToGrayscale

RgbToGrayscale(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.RgbToGrayscale

RGBtoGrayscaleDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor

RGBtoGrayscaleDataSetPreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.RGBtoGrayscaleDataSetPreProcessor

rgbToHsv(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting array from HSV to RGB format

rgbToHsv(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting array from HSV to RGB format

rgbToHsv(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDImage

Converting array from HSV to RGB format

RgbToHsv - Class in org.nd4j.linalg.api.ops.custom

RgbToHsv(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.RgbToHsv

RgbToHsv(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.RgbToHsv

rgbToYiq(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting array from RGB to YIQ format

rgbToYiq(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting array from RGB to YIQ format

rgbToYiq(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDImage

Converting array from RGB to YIQ format

RgbToYiq - Class in org.nd4j.linalg.api.ops.custom

RgbToYiq(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.RgbToYiq

RgbToYiq(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.RgbToYiq

rgbToYuv(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting array from RGB to YUV format

rgbToYuv(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting array from RGB to YUV format

rgbToYuv(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDImage

Converting array from RGB to YUV format

RgbToYuv - Class in org.nd4j.linalg.api.ops.custom

RgbToYuv(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.RgbToYuv

RgbToYuv(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.RgbToYuv

rightShift(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise right shift operation.

rightShift(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise right shift operation.

rightShift(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Bitwise right shift operation.

rightShiftCyclic(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise right cyclical shift operation.

rightShiftCyclic(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise right cyclical shift operation.

rightShiftCyclic(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Bitwise right cyclical shift operation.

Rint - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Rint() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Rint

Rint(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Rint

Rint(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Rint

Rint(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Rint

RMSE - org.nd4j.evaluation.regression.RegressionEvaluation.Metric

RmsProp - Class in org.nd4j.linalg.learning.config

RmsProp() - Constructor for class org.nd4j.linalg.learning.config.RmsProp

RmsProp(double) - Constructor for class org.nd4j.linalg.learning.config.RmsProp

RmsProp(double, double, double) - Constructor for class org.nd4j.linalg.learning.config.RmsProp

RmsProp(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.RmsProp

RmsProp.Builder - Class in org.nd4j.linalg.learning.config

RmsPropUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

RmsPropUpdater - Class in org.nd4j.linalg.learning

RmsPropUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.RmsPropUpdater

RmsPropUpdater(INDArray, INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.RmsPropUpdater

RmsPropUpdater(INDArray, INDArray, INDArray, INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.RmsPropUpdater

RmsPropUpdater(RmsProp) - Constructor for class org.nd4j.linalg.learning.RmsPropUpdater

rnn - Variable in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for recurrent neural network operations

rnn - Static variable in class org.nd4j.linalg.factory.Nd4j

Recurrent neural network namespace - operations related to recurrent neural networks

rnn() - Method in class org.nd4j.autodiff.samediff.SameDiff

Op creator object for recurrent neural network operations

rnn() - Static method in class org.nd4j.linalg.factory.Nd4j

Recurrent neural network namespace - operations related to recurrent neural networks

RnnDataFormat - Enum in org.nd4j.enums

The data format of the input.

RnnDataFormat - Enum in org.nd4j.linalg.api.ops.impl.layers.recurrent.config

RNNWeights - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.weights

RNNWeights() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights

ROC - Class in org.nd4j.evaluation.classification

ROC() - Constructor for class org.nd4j.evaluation.classification.ROC

ROC(int) - Constructor for class org.nd4j.evaluation.classification.ROC

ROC(int, boolean) - Constructor for class org.nd4j.evaluation.classification.ROC

ROC(int, boolean, int) - Constructor for class org.nd4j.evaluation.classification.ROC

ROC(int, boolean, int, int) - Constructor for class org.nd4j.evaluation.classification.ROC

ROC.CountsForThreshold - Class in org.nd4j.evaluation.classification

ROC.Metric - Enum in org.nd4j.evaluation.classification

AUROC: Area under ROC curve
AUPRC: Area under Precision-Recall Curve

ROCArraySerializer - Class in org.nd4j.evaluation.serde

ROCArraySerializer() - Constructor for class org.nd4j.evaluation.serde.ROCArraySerializer

ROCBinary - Class in org.nd4j.evaluation.classification

ROCBinary() - Constructor for class org.nd4j.evaluation.classification.ROCBinary

ROCBinary(int) - Constructor for class org.nd4j.evaluation.classification.ROCBinary

ROCBinary(int, boolean) - Constructor for class org.nd4j.evaluation.classification.ROCBinary

ROCBinary(int, int, boolean, List<String>) - Constructor for class org.nd4j.evaluation.classification.ROCBinary

ROCBinary.Metric - Enum in org.nd4j.evaluation.classification

AUROC: Area under ROC curve
AUPRC: Area under Precision-Recall Curve

RocCurve - Class in org.nd4j.evaluation.curves

RocCurve(double[], double[], double[]) - Constructor for class org.nd4j.evaluation.curves.RocCurve

ROCMultiClass - Class in org.nd4j.evaluation.classification

ROCMultiClass() - Constructor for class org.nd4j.evaluation.classification.ROCMultiClass

ROCMultiClass(int) - Constructor for class org.nd4j.evaluation.classification.ROCMultiClass

ROCMultiClass(int, boolean) - Constructor for class org.nd4j.evaluation.classification.ROCMultiClass

ROCMultiClass(int, int, boolean, List<String>) - Constructor for class org.nd4j.evaluation.classification.ROCMultiClass

ROCMultiClass.Metric - Enum in org.nd4j.evaluation.classification

AUROC: Area under ROC curve
AUPRC: Area under Precision-Recall Curve

ROCSerializer - Class in org.nd4j.evaluation.serde

ROCSerializer() - Constructor for class org.nd4j.evaluation.serde.ROCSerializer

Roll - Class in org.nd4j.linalg.api.ops.custom

Roll() - Constructor for class org.nd4j.linalg.api.ops.custom.Roll

Roll(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.custom.Roll

Roll(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Roll

Roll(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Roll

Roll(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.custom.Roll

Roll(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.Roll

rollAxis(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Roll the specified axis backwards, until it lies in a given position.

rollAxis(INDArray, int, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Roll the specified axis backwards, until it lies in a given position.

root - Variable in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

rootMeanSquaredError(int) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

rootNode - Variable in class org.nd4j.autodiff.samediff.transform.SubGraph

rootState() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

rootState() - Method in interface org.nd4j.linalg.api.rng.Random

rot(long, INDArray, INDArray, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

performs rotation of points in the plane.

rot(long, INDArray, INDArray, double, double) - Method in interface org.nd4j.linalg.api.blas.Level1

performs rotation of points in the plane.

rot(INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc

rot(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc

rot90(INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Rotate a matrix 90 degrees

rot90(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Rotate a matrix 90 degrees

rot90(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Rotate a matrix 90 degrees

rotg(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes parameters for a Givens rotation.

rotg(INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes parameters for a Givens rotation.

rotmg(INDArray, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes the modified parameters for a Givens rotation.

rotmg(INDArray, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes the modified parameters for a Givens rotation.

round(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise round function: out = round(x).
Rounds (up or down depending on value) to the nearest integer value.

round(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise round function: out = round(x).
Rounds (up or down depending on value) to the nearest integer value.

round(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise round function: out = round(x).
Rounds (up or down depending on value) to the nearest integer value.

round(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Rounding function

round(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Rounding function

Round - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Round(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Round

Round(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Round

Round(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Round

Round(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Round

ROUND_PREFER_CEIL - org.nd4j.enums.NearestMode

ROUND_PREFER_FLOOR - org.nd4j.enums.NearestMode

roundToTheNearest(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

roundToTheNearest(int) - Method in class org.nd4j.linalg.dataset.DataSet

rowNumber(int, INDArray) - Static method in class org.nd4j.linalg.indexing.Indices

Compute the linear offset for an index in an ndarray.

rows() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rows() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the number of rows in this matrix (throws exception if not 2d)

RowVectorDeserializer - Class in org.nd4j.linalg.lossfunctions.serde

Deprecated.

RowVectorDeserializer() - Constructor for class org.nd4j.linalg.lossfunctions.serde.RowVectorDeserializer

Deprecated.

RowVectorSerializer - Class in org.nd4j.linalg.lossfunctions.serde

Deprecated.

RowVectorSerializer() - Constructor for class org.nd4j.linalg.lossfunctions.serde.RowVectorSerializer

Deprecated.

RPC_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

RPCOptions - Class in org.tensorflow.framework

Protobuf type tensorflow.RPCOptions

RPCOptions.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.RPCOptions

RPCOptionsOrBuilder - Interface in org.tensorflow.framework

RRELU - org.nd4j.linalg.activations.Activation

RSE - org.nd4j.evaluation.regression.RegressionEvaluation.Metric

RShiftBits - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

RShiftBits() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.RShiftBits

RShiftBits(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.RShiftBits

RShiftBits(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.RShiftBits

RShiftBits(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.RShiftBits

rsqrt(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise reciprocal (inverse) of square root: out = 1.0 / sqrt(x)

rsqrt(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise reciprocal (inverse) of square root: out = 1.0 / sqrt(x)

rsqrt(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise reciprocal (inverse) of square root: out = 1.0 / sqrt(x)

RSqrt - Class in org.nd4j.linalg.api.ops.impl.transforms.floating

RSqrt(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt

RSqrt(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt

RSqrt(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt

RSqrt(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt

rSquared(int) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Coefficient of Determination (R^2 Score)

rsub(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.rsub(String, double)

rsub(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsub(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse subtraction with duplicates - i.e., (n - thisArrayValues)

rsub(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsub(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse subtraction

rsub(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Scalar reverse subtraction: out = scalar - this
Output variable has the same shape as the input variable

rsub(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Reverse subtraction operation: elementwise x - this
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.

rsub(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar reverse subtraction operation, out = scalar - in

rsub(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise reverse subtraction operation, out = y - x
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

rsub(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.rsub(String, SDVariable)

rsub(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar reverse subtraction operation, out = scalar - in

rsub(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise reverse subtraction operation, out = y - x
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

rsub(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsub(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Element-wise reverse subtraction (copy op).

rsub(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Scalar reverse subtraction operation, out = scalar - in

rsub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsub(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse subtraction

rsub(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise reverse subtraction operation, out = y - x
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

rsub(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast reverse subtraction op.

RSubBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

RSubBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.RSubBpOp

RSubBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.RSubBpOp

rsubColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsubColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse subtraction of a column vector (copy)

rsubi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsubi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse subtraction in place - i.e., (n - thisArrayValues)

rsubi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsubi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse in place subtraction

rsubi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsubi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Element-wise reverse subtraction (in the place op) - i.e., other - this

rsubi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsubi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse subtraction (in-place)

rsubiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsubiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place reverse subtraction of a column vector

rsubiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsubiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place reverse subtraction of a row vector

RSubOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

RSubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

RSubOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

RSubOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

RSubOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

RSubOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

RSubOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

RSubOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RSubOp

rsubRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

rsubRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Reverse subtraction of a row vector (copy)

RULE_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MapperDeclaration

RULENAME_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

RULETYPE_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

run() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator.AsyncPrefetchThread

run() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator.AsyncPrefetchThread

run(Map<String, INDArray>) - Method in interface org.nd4j.TFGraphRunnerService

RUN_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CallableOptions

RunCallableRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunCallableRequest

RunCallableRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunCallableRequest

RunCallableRequestOrBuilder - Interface in org.tensorflow.distruntime

RunCallableResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunCallableResponse

RunCallableResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunCallableResponse

RunCallableResponseOrBuilder - Interface in org.tensorflow.distruntime

RunGraphRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunGraphRequest

RunGraphRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunGraphRequest

RunGraphRequestOrBuilder - Interface in org.tensorflow.distruntime

RunGraphResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunGraphResponse

RunGraphResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunGraphResponse

RunGraphResponseOrBuilder - Interface in org.tensorflow.distruntime

RunMetadata - Class in org.tensorflow.framework

Metadata output (i.e., non-Tensor) for a single Run() call.

RunMetadata.Builder - Class in org.tensorflow.framework

Metadata output (i.e., non-Tensor) for a single Run() call.

RunMetadataOrBuilder - Interface in org.tensorflow.framework

RunOptions - Class in org.tensorflow.framework

Options for a single Run() call.

RunOptions.Builder - Class in org.tensorflow.framework

Options for a single Run() call.

RunOptions.Experimental - Class in org.tensorflow.framework

Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

RunOptions.Experimental.Builder - Class in org.tensorflow.framework

Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

RunOptions.ExperimentalOrBuilder - Interface in org.tensorflow.framework

RunOptions.TraceLevel - Enum in org.tensorflow.framework

TODO(pbar) Turn this into a TraceOptions proto which allows tracing to be controlled in a more orthogonal manner?

RunOptionsOrBuilder - Interface in org.tensorflow.framework

RunStepRequest - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunStepRequest

RunStepRequest.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunStepRequest

RunStepRequestOrBuilder - Interface in org.tensorflow.distruntime

RunStepResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunStepResponse

RunStepResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.RunStepResponse

RunStepResponseOrBuilder - Interface in org.tensorflow.distruntime

S

s - org.nd4j.autodiff.listeners.profiler.data.Phase

s(int) - Method in class org.nd4j.graph.FlatProperties

S - org.tensorflow.framework.AttrValue.ValueCase

S_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

S_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

S_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue

S_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

S_STATE - Static variable in class org.nd4j.linalg.learning.AdaBeliefUpdater

s0 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

s1 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

s2 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

s3 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

SaddlePointExpansion - Class in org.nd4j.linalg.api.rng.distribution.impl

SAFETY_OFFSET - Static variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

SAME - org.nd4j.linalg.api.ops.impl.layers.convolution.config.PaddingMode

SAME - org.nd4j.linalg.convolution.Convolution.Type

SAME - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

sameDiff - Variable in class org.nd4j.autodiff.functions.DifferentialFunction

sameDiff - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession

sameDiff - Variable in class org.nd4j.autodiff.samediff.SDVariable

sameDiff - Variable in class org.nd4j.autodiff.samediff.transform.SubGraph

SameDiff - Class in org.nd4j.autodiff.samediff

SAMEDIFF - org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.ProfileFormat

SameDiff.DefaultInferenceFactory - Class in org.nd4j.autodiff.samediff

SameDiffConditional - Interface in org.nd4j.autodiff.samediff

SameDiffFunctionDefinition - Interface in org.nd4j.autodiff.samediff

SameDiffLambda - Interface in org.nd4j.autodiff.samediff

SameDiffLoss - Class in org.nd4j.linalg.lossfunctions

SameDiffLoss() - Constructor for class org.nd4j.linalg.lossfunctions.SameDiffLoss

SameDiffNoArgSingleLambda - Interface in org.nd4j.autodiff.samediff

SameDiffOp - Class in org.nd4j.autodiff.samediff.internal

SameDiffOp(String, DifferentialFunction, List<String>, List<String>, List<String>, List<String>, List<String>) - Constructor for class org.nd4j.autodiff.samediff.internal.SameDiffOp

SameDiffSingleLambda - Interface in org.nd4j.autodiff.samediff

SameDiffUtils - Class in org.nd4j.autodiff.util

SameDiffUtils() - Constructor for class org.nd4j.autodiff.util.SameDiffUtils

sameUnderlyingData(DataBuffer) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

sameUnderlyingData(DataBuffer) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns true if the underlying data source is the same for both buffers (referential equals)

sample() - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

Generate a random value sampled from this distribution.

sample() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Generate a random value sampled from this distribution.

sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

Generate a random value sampled from this distribution.

sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

Generate a random value sampled from this distribution.

sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Generate a random value sampled from this distribution.

sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

Generate a random value sampled from this distribution.

sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Generate a random value sampled from this distribution.

sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Generate a random value sampled from this distribution.

sample(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

sample(int) - Method in class org.nd4j.linalg.dataset.DataSet

Sample without replacement and a random rng

sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

sample(int[]) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Sample the given shape

sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

sample(int, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet

sample(int, boolean) - Method in class org.nd4j.linalg.dataset.DataSet

Sample a dataset numSamples times

sample(int, Random) - Method in interface org.nd4j.linalg.dataset.api.DataSet

sample(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet

Sample without replacement

sample(int, Random, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet

sample(int, Random, boolean) - Method in class org.nd4j.linalg.dataset.DataSet

Sample a dataset

sample(long) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

Generate a random sample from the distribution.

sample(long) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Generate a random sample from the distribution.

sample(long[]) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

sample(long[]) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

sample(long[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

sample(INDArray) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Fill the target array by sampling from the distribution

sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution

sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution

sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution

sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

SAMPLE_RATE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio

SamplingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator

A wrapper for a dataset to sample from.

SamplingDataSetIterator(DataSet, int, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

SamplingDataSetIterator(DataSet, int, int, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

sArgs() - Method in interface org.nd4j.linalg.api.ops.CustomOp

sArgs() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

sArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

sasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

sasum(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

save(File, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Save the SameDiff instance to a file.

save(File, File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats

Save distribution statistics to the file system

save(OutputStream, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

As per SameDiff.save(File, boolean) but the serialized SameDiff instance is written to the output stream instead.

save(List<File>, List<File>) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

Deprecated.

use MultiStandardizeSerializerStrategy instead

Save the current means and standard deviations to the file system

save(File) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Save this DataSet to a file.

save(File) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Save this MultiDataSet to the specified file

save(File) - Method in class org.nd4j.linalg.dataset.DataSet

save(File) - Method in class org.nd4j.linalg.dataset.MultiDataSet

save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

Deprecated.

use instead

save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

Deprecated.

use NormalizerSerializer instead

Save the current means and standard deviations to the file system

save(File, File) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

Save the current mean and std

save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Write the contents of this DataSet to the specified OutputStream

save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Save this MultiDataSet to the specified stream.

save(OutputStream) - Method in class org.nd4j.linalg.dataset.DataSet

save(OutputStream) - Method in class org.nd4j.linalg.dataset.MultiDataSet

SAVE_SLICE_INFO_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef

SAVE_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.util.SaverDef

saveBinary(INDArray, File) - Static method in class org.nd4j.linalg.factory.Nd4j

Save an ndarray to the given file

SAVED_MODEL_SCHEMA_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SavedModel

SavedModel - Class in org.tensorflow.framework

SavedModel is the high level serialization format for TensorFlow Models.

SavedModel.Builder - Class in org.tensorflow.framework

SavedModel is the high level serialization format for TensorFlow Models.

SavedModelOrBuilder - Interface in org.tensorflow.framework

SavedModelProtos - Class in org.tensorflow.framework

saveEvery(long, TimeUnit) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Save a model periodically

saveEvery(long, TimeUnit, boolean) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Save a model periodically (if sinceLast == false), or if the specified amount of time has elapsed since the last model was saved (if sinceLast == true)

saveEveryEpoch() - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Save a model at the end of every epoch

saveEveryNEpochs(int) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Save a model at the end of every N epochs

saveEveryNIterations(int) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Save a model every N iterations

saveEveryNIterations(int, boolean) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Save a model every N iterations (if sinceLast == false), or if N iterations have passed since the last model vas saved (if sinceLast == true)

SAVER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef

SaverDef - Class in org.tensorflow.util

Protocol buffer representing the configuration of a Saver.

SaverDef.Builder - Class in org.tensorflow.util

Protocol buffer representing the configuration of a Saver.

SaverDef.CheckpointFormatVersion - Enum in org.tensorflow.util

A version number that identifies a different on-disk checkpoint format.

SaverDefOrBuilder - Interface in org.tensorflow.util

SaverProtos - Class in org.tensorflow.util

SaveSliceInfoDef - Class in org.tensorflow.framework

Protobuf type tensorflow.SaveSliceInfoDef

SaveSliceInfoDef.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.SaveSliceInfoDef

SaveSliceInfoDefOrBuilder - Interface in org.tensorflow.framework

saveUpdaterState(boolean) - Method in class org.nd4j.autodiff.listeners.checkpoint.CheckpointListener.Builder

Whether the updater state (history/state for Adam, Nesterov momentum, etc) should be saved with each checkpoint.
Updater state is saved by default.

SaveV2 - Class in org.nd4j.linalg.api.ops.persistence

SaveV2() - Constructor for class org.nd4j.linalg.api.ops.persistence.SaveV2

saxpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

saxpy(double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

saxpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

saxpy(float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

saxpy(long, float, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

saxpy(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

sbmv computes a matrix-vector product using a symmetric band matrix: y := alpha*a*x + beta*y.

sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

sbmv computes a matrix-vector product using a symmetric band matrix: y := alpha*a*x + beta*y.

scal(double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

scal(double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

scal(float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

scal(float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

scal(long, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes a vector by a scalar product.

scal(long, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes a vector by a scalar product.

scalar() - Method in class org.nd4j.graph.FlatNode

scalar() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

scalar() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

scalar() - Method in interface org.nd4j.linalg.api.ops.ScalarOp

The normal scalar

scalar(boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a scalar NDArray with the specified value and BOOLEAN datatype

scalar(double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a scalar nd array with the specified value and offset

scalar(double) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a scalar nd array with the specified value

scalar(double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a scalar nd array with the specified value and offset

scalar(double, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a scalar nd array with the specified value and offset

scalar(double, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a scalar nd array with the specified value and offset

scalar(float) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

scalar(float) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a scalar NDArray with the specified value and FLOAT datatype

scalar(float) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a scalar nd array with the specified value and offset

scalar(float, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a scalar nd array with the specified value and offset

scalar(float, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a scalar nd array with the specified value and offset

scalar(int) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a scalar NDArray with the specified value and INT datatype

scalar(int, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a scalar nd array with the specified value and offset

scalar(int, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

scalar(long) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a scalar NDArray with the specified value and LONG datatype

scalar(String) - Static method in class org.nd4j.linalg.factory.Nd4j

scalar(Number) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create a scalar ndarray with the specified offset

scalar(Number) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a scalar ndarray with the specified value

scalar(Number) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a scalar ndarray with the specified offset

scalar(String, double) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new double scalar (rank 0) SDVariable with the specified value

scalar(String, float) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new float scalar (rank 0) SDVariable with the specified value

scalar(String, int) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new integer scalar (rank 0) SDVariable with the specified value

scalar(String, long) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new long scalar (rank 0) SDVariable with the specified value

scalar(String, DataType, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new scalar (rank 0) SDVariable with the specified value and datatype

scalar(FlatArray) - Method in class org.nd4j.graph.FlatNode

scalar(DataType) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

scalar(DataType) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create a scalar nd array with the data type and a default value depending on the data type.

scalar(DataType, Number) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a scalar ndarray with the specified value and datatype

SCALAR - org.nd4j.linalg.api.ops.Op.Type

SCALAR - Static variable in class org.nd4j.graph.OpType

SCALAR - Static variable in class org.nd4j.graph.UIEventType

SCALAR_BOOL - org.nd4j.linalg.api.ops.Op.Type

SCALAR_BOOL - Static variable in class org.nd4j.graph.OpType

ScalarAdd - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

ScalarAdd(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

ScalarAdd(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

ScalarAdd(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

ScalarAdd(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

ScalarAdd(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

ScalarAdd(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

ScalarAdd(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd

ScalarAnd - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when greater than a number

ScalarAnd() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd

ScalarAnd(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd

ScalarAnd(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd

ScalarAnd(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarAnd

scalarBoolOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

ScalarDivision - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

ScalarDivision(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

ScalarDivision(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

ScalarDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

ScalarDivision(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

ScalarEps - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when greater than a number

ScalarEps() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

ScalarEps(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

ScalarEps(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

ScalarEps(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

ScalarEps(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

ScalarEps(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

scalarEquals(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if the given shapes are both scalars (0 dimension or shape[0] == 1)

scalarEquals(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

ScalarEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when greater than a number

ScalarEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

ScalarEquals(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

ScalarEquals(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

ScalarEquals(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

ScalarEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

ScalarEquals(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

scalarFloorMod(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise scalar floor modulus operation: out = floorMod(in, value).
i.e., returns the remainder after division by 'value'

scalarFloorMod(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise scalar floor modulus operation: out = floorMod(in, value).
i.e., returns the remainder after division by 'value'

scalarFloorMod(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Element-wise scalar floor modulus operation: out = floorMod(in, value).
i.e., returns the remainder after division by 'value'

ScalarFMod - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarFMod() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod

ScalarFMod(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod

ScalarFMod(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod

ScalarFMod(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod

ScalarGreaterThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when greater than a number

ScalarGreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

ScalarGreaterThan(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

ScalarGreaterThan(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

ScalarGreaterThan(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

ScalarGreaterThan(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

ScalarGreaterThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

ScalarGreaterThan(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan

ScalarGreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when greater than or equal to a number

ScalarGreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

ScalarGreaterThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

ScalarGreaterThanOrEqual(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual

ScalarLessThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when less than a number

ScalarLessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan

ScalarLessThan(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan

ScalarLessThan(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan

ScalarLessThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan

ScalarLessThan(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan

ScalarLessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when less than or equal to a number

ScalarLessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual

ScalarLessThanOrEqual(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual

ScalarLessThanOrEqual(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual

ScalarLessThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual

ScalarLessThanOrEqual(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual

scalarMax(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise scalar maximum operation: out = max(in, value)

scalarMax(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise scalar maximum operation: out = max(in, value)

scalarMax(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Element-wise scalar maximum operation: out = max(in, value)

ScalarMax - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarMax() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax

ScalarMax(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax

ScalarMax(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax

ScalarMax(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax

scalarMin(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise scalar minimum operation: out = min(in, value)

scalarMin(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Element-wise scalar minimum operation: out = min(in, value)

scalarMin(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Element-wise scalar minimum operation: out = min(in, value)

ScalarMin - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarMin() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin

ScalarMin(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin

ScalarMin(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin

ScalarMin(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin

ScalarMultiplication - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarMultiplication() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication

ScalarMultiplication(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication

ScalarMultiplication(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication

ScalarMultiplication(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication

ScalarMultiplication(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication

ScalarMultiplication(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication

ScalarNot - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when greater than a number

ScalarNot() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot

ScalarNot(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot

ScalarNot(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot

ScalarNot(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot

ScalarNot(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNot

ScalarNotEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when greater than a number

ScalarNotEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals

ScalarNotEquals(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals

ScalarNotEquals(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals

ScalarNotEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals

ScalarNotEquals(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals

ScalarOp - Interface in org.nd4j.linalg.api.ops

scalarOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

ScalarOr - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when greater than a number

ScalarOr() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr

ScalarOr(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr

ScalarOr(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr

ScalarOr(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr

ScalarOr(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr

ScalarRemainder - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarRemainder() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

ScalarRemainder(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

ScalarRemainder(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

ScalarRemainder(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

ScalarRemainder(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

ScalarReverseDivision - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarReverseDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

ScalarReverseDivision(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

ScalarReverseDivision(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

ScalarReverseDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

ScalarReverseDivision(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

ScalarReverseSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarReverseSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

ScalarReverseSubtraction(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

ScalarReverseSubtraction(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

ScalarReverseSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

ScalarReverseSubtraction(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

ScalarReverseSubtraction(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

scalarSet(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a variable with equal shape to the input, but all elements set to value 'set'

scalarSet(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a variable with equal shape to the input, but all elements set to value 'set'

scalarSet(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return a variable with equal shape to the input, but all elements set to value 'set'

ScalarSet - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarSet() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

ScalarSet(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

ScalarSet(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

ScalarSet(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

ScalarSet(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

ScalarSetValue - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

ScalarSetValue() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

ScalarSetValue(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

ScalarSetValue(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

ScalarSetValue(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

ScalarSetValue(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

ScalarSetValue(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

ScalarSetValue(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

ScalarSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar

ScalarSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction

ScalarSubtraction(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction

ScalarSubtraction(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction

ScalarSubtraction(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction

ScalarSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction

ScalarSubtraction(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction

scalarValue - Variable in class org.nd4j.autodiff.functions.DifferentialFunction

ScalarXor - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison

Return a binary (0 or 1) when greater than a number

ScalarXor() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor

ScalarXor(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor

ScalarXor(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor

ScalarXor(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor

ScalarXor(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarXor

scale() - Method in interface org.nd4j.linalg.dataset.api.DataSet

scale() - Method in class org.nd4j.linalg.dataset.DataSet

Divides the input data transform by the max number in each row

scaleByMax(INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil

Divides each row by its max

scaleD - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

SCALED_TAHN - org.nd4j.enums.CellAct

SCALED_TAHN - org.nd4j.enums.GateAct

SCALED_TAHN - org.nd4j.enums.OutAct

SCALED_TAHN - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

scaleH - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

scaleH - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative

scaleH - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

scaleMinAndMax(double, double) - Method in interface org.nd4j.linalg.dataset.api.DataSet

scaleMinAndMax(double, double) - Method in class org.nd4j.linalg.dataset.DataSet

scaleMinMax(double, double, INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil

Scales the ndarray columns to the given min/max values

scaleW - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

scaleW - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative

scaleW - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

scan(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

scan(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method takes boolean condition, and returns number of elements matching this condition

scatter(SDVariable, SDVariable, int...) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

scatter(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

scatterAdd(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter addition operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterAdd(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter addition operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterAdd(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Scatter addition operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

ScatterAdd - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

ScatterAdd(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

ScatterAdd(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

scatterDiv(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter division operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterDiv(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter division operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterDiv(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Scatter division operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

ScatterDiv - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterDiv() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv

ScatterDiv(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv

ScatterDiv(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv

scatterMax(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter max operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterMax(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter max operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterMax(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Scatter max operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

ScatterMax - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterMax() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax

ScatterMax(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax

ScatterMax(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax

scatterMin(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter min operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterMin(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter min operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterMin(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Scatter min operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

ScatterMin - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterMin() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin

ScatterMin(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin

ScatterMin(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin

scatterMul(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter multiplication operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterMul(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter multiplication operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterMul(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Scatter multiplication operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

ScatterMul - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterMul() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul

ScatterMul(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul

ScatterMul(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul

ScatterNd - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterNd() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd

ScatterNd(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd

ScatterNdAdd - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterNdAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd

ScatterNdAdd(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd

ScatterNdSub - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterNdSub() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub

ScatterNdSub(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub

ScatterNdUpdate - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterNdUpdate() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate

ScatterNdUpdate(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate

scatterSub(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter subtraction operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterSub(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter subtraction operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterSub(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Scatter subtraction operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

ScatterSub - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterSub() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub

ScatterSub(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub

ScatterSub(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub

scatterUpdate(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter update operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterUpdate(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Scatter update operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterUpdate(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Scatter update operation.
If indices is rank 0 (a scalar), then out[index, ...] = out[index, ...] + op(updates[...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = out[indices[i], ...] + op(updates[i, ...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = out[indices[i], ..., indices[k], ...] + op(updates[i, ..., k, ...])
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.

scatterUpdate(ScatterUpdate.UpdateOp, INDArray, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Deprecated.

scatterUpdate(ScatterUpdate.UpdateOp, INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

scatterUpdate(ScatterUpdate.UpdateOp, INDArray, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

ScatterUpdate - Class in org.nd4j.linalg.api.ops.impl.scatter

ScatterUpdate() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate

ScatterUpdate(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate

ScatterUpdate(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate

ScatterUpdate.UpdateOp - Enum in org.nd4j.linalg.api.ops.impl.scatter

SCHEDULED_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

ScheduleType - Enum in org.nd4j.linalg.schedule

SCHEDULING_HEURISTICS - org.tensorflow.framework.RewriterConfig.MemOptType

Scheduling will split big ops such as AddN and try to enforce a schedule of the new computations that decreases peak memory usage.

SCHEDULING_HEURISTICS_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.MemOptType

Scheduling will split big ops such as AddN and try to enforce a schedule of the new computations that decreases peak memory usage.

SCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

SConv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

SConv2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

SConv2D(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

SConv2D(INDArray, INDArray, INDArray, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

SConv2D(SameDiff, SDVariable[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

SConv2D(INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

SConv2D(INDArray, INDArray, INDArray, INDArray, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

SConv2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

SConv2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative

SConv2DDerivative(SameDiff, SDVariable[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative

SCOPE_PANIC - org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

SCOPED - org.nd4j.linalg.api.memory.MemoryWorkspace.Type

Most regular workspace.

SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

ScopedAllocatorOptions - Class in org.tensorflow.framework

Protobuf type tensorflow.ScopedAllocatorOptions

ScopedAllocatorOptions.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.ScopedAllocatorOptions

ScopedAllocatorOptionsOrBuilder - Interface in org.tensorflow.framework

scopeId() - Method in class org.nd4j.graph.FlatNode

scopeName() - Method in class org.nd4j.graph.FlatNode

scopeNameAsByteBuffer() - Method in class org.nd4j.graph.FlatNode

scopeNameInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatNode

scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

scopeOutOfWorkspaces() - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method temporary opens block out of any workspace scope.

scopeOutOfWorkspaces() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method temporary opens block out of any workspace scope.

scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method temporary opens block out of any workspace scope.

scopeOutOfWs - Variable in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

scopy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

scopy(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

score(INDArray, int, int) - Method in class org.nd4j.linalg.learning.regularization.L1Regularization

score(INDArray, int, int) - Method in class org.nd4j.linalg.learning.regularization.L2Regularization

score(INDArray, int, int) - Method in interface org.nd4j.linalg.learning.regularization.Regularization

Calculate the loss function score component for the regularization.
For example, in L2 regularization, this would return L = 0.5 * sum_i param[i]^2
For regularization types that don't have a score component, this method can return 0.

score(INDArray, int, int) - Method in class org.nd4j.linalg.learning.regularization.WeightDecay

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

scoreForMetric(Evaluation.Metric) - Method in class org.nd4j.evaluation.classification.Evaluation

scoreForMetric(EvaluationBinary.Metric, int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Calculate specific metric (see EvaluationBinary.Metric) for a given label.

scoreForMetric(ROC.Metric) - Method in class org.nd4j.evaluation.classification.ROC

scoreForMetric(ROCBinary.Metric, int) - Method in class org.nd4j.evaluation.classification.ROCBinary

scoreForMetric(ROCMultiClass.Metric, int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

scoreForMetric(RegressionEvaluation.Metric) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

ScoreListener - Class in org.nd4j.autodiff.listeners.impl

ScoreListener() - Constructor for class org.nd4j.autodiff.listeners.impl.ScoreListener

Create a ScoreListener reporting every 10 iterations, and at the end of each epoch

ScoreListener(int) - Constructor for class org.nd4j.autodiff.listeners.impl.ScoreListener

Create a ScoreListener reporting every N iterations, and at the end of each epoch

ScoreListener(int, boolean) - Constructor for class org.nd4j.autodiff.listeners.impl.ScoreListener

Create a ScoreListener reporting every N iterations, and optionally at the end of each epoch

ScoreListener(int, boolean, boolean) - Constructor for class org.nd4j.autodiff.listeners.impl.ScoreListener

scorePerExampleVariable - Variable in class org.nd4j.linalg.lossfunctions.SameDiffLoss

sd - Variable in class org.nd4j.autodiff.samediff.ops.SDBaseOps

sd - Variable in class org.nd4j.autodiff.samediff.ops.SDOps

sd - Variable in class org.nd4j.linalg.lossfunctions.SameDiffLoss

SDBaseOps - Class in org.nd4j.autodiff.samediff.ops

SDBaseOps(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDBaseOps

SDBitwise - Class in org.nd4j.autodiff.samediff.ops

SDBitwise(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDBitwise

SDCNN - Class in org.nd4j.autodiff.samediff.ops

SDCNN(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDCNN

SDImage - Class in org.nd4j.autodiff.samediff.ops

SDImage(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDImage

SDIndex - Class in org.nd4j.autodiff.samediff

SDIndex is the SameDiff equivalent to INDArrayIndex it uses StridedSlice underneath to obtain varying elements.

SDIndex() - Constructor for class org.nd4j.autodiff.samediff.SDIndex

SDIndex.IndexType - Enum in org.nd4j.autodiff.samediff

Index types include the following: 1.

SDLinalg - Class in org.nd4j.autodiff.samediff.ops

SDLinalg(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDLinalg

SDLoss - Class in org.nd4j.autodiff.samediff.ops

SDLoss(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDLoss

SDMath - Class in org.nd4j.autodiff.samediff.ops

SDMath(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDMath

SDNN - Class in org.nd4j.autodiff.samediff.ops

SDNN(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDNN

SDOps - Class in org.nd4j.autodiff.samediff.ops

SDOps() - Constructor for class org.nd4j.autodiff.samediff.ops.SDOps

SDOps(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDOps

sdot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

sdot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

SDRandom - Class in org.nd4j.autodiff.samediff.ops

SDRandom(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDRandom

SDRNN - Class in org.nd4j.autodiff.samediff.ops

SDRNN(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.ops.SDRNN

sdsdot(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

SDValidation - Class in org.nd4j.autodiff.samediff.ops

SDValue - Class in org.nd4j.autodiff.samediff.config

An SDValue represents a value that can be passed in and returned from a SameDiff graph for execution.

SDValueType - Enum in org.nd4j.autodiff.samediff.config

SDVariable - Class in org.nd4j.autodiff.samediff

SDVariable(String, VariableType, SameDiff, long[], DataType) - Constructor for class org.nd4j.autodiff.samediff.SDVariable

second() - Method in class org.nd4j.graph.IntPair

second() - Method in class org.nd4j.graph.IntTriple

second() - Method in class org.nd4j.graph.LongPair

second() - Method in class org.nd4j.graph.LongTriple

seed - Variable in class org.nd4j.linalg.api.rng.DefaultRandom

SEGMENT_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

SEGMENT_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

SEGMENT_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

segmentMax(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment max operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentMax(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment max operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentMax(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Segment max operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

SegmentMax - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment

SegmentMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax

SegmentMax(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax

SegmentMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax

SegmentMaxBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

SegmentMaxBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMaxBp

SegmentMaxBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMaxBp

segmentMean(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment mean operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentMean(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment mean operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentMean(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Segment mean operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

SegmentMean - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment

SegmentMean() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean

SegmentMean(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean

SegmentMean(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean

SegmentMeanBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

SegmentMeanBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMeanBp

SegmentMeanBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMeanBp

segmentMin(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment min operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentMin(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment min operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentMin(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Segment min operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

SegmentMin - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment

SegmentMin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin

SegmentMin(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin

SegmentMin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin

SegmentMinBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

SegmentMinBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMinBp

SegmentMinBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentMinBp

segmentProd(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment product operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentProd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment product operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentProd(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Segment product operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

SegmentProd - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment

SegmentProd() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd

SegmentProd(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd

SegmentProd(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd

SegmentProdBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

SegmentProdBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentProdBp

SegmentProdBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentProdBp

segmentSum(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment sum operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentSum(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Segment sum operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

segmentSum(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Segment sum operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [op(3,6), op(1,4,9), op(2,8)]
Note that the segment IDs must be sorted from smallest to largest segment.
See {unsortedSegment (String, SDVariable, SDVariable, int) ops
for the same op without this sorted requirement

SegmentSum - Class in org.nd4j.linalg.api.ops.impl.transforms.custom.segment

SegmentSum() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum

SegmentSum(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum

SegmentSum(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum

SegmentSumBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

SegmentSumBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentSumBp

SegmentSumBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.SegmentSumBp

Select - Class in org.nd4j.linalg.api.ops.impl.controlflow

Select(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select

Select(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select

Select(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select

Select(INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select

selu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise SeLU function - Scaled exponential Lineal Unit: see Self-Normalizing Neural Networks

out[i] = scale * alpha * (exp(in[i])-1) if in[i]>0, or 0 if in[i] <= 0
Uses default scale and alpha values.

selu(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise SeLU function - Scaled exponential Lineal Unit: see Self-Normalizing Neural Networks

out[i] = scale * alpha * (exp(in[i])-1) if in[i]>0, or 0 if in[i] <= 0
Uses default scale and alpha values.

selu(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise SeLU function - Scaled exponential Lineal Unit: see Self-Normalizing Neural Networks

out[i] = scale * alpha * (exp(in[i])-1) if in[i]>0, or 0 if in[i] <= 0
Uses default scale and alpha values.

SELU - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

SELU - org.nd4j.linalg.activations.Activation

SELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

SELU(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

SELU(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

SELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

SELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

SeluBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

SeluBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SeluBp

SeluBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SeluBp

SeluBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SeluBp

SELUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

Deprecated.

SELUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

SELUDerivative(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

SELUDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

SELUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

SELUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

SEND_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

SEND_START_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufResponse

SEND_START_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorResponse

separableConv2d(String, SDVariable, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Separable 2D convolution operation with optional bias

separableConv2d(String, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Separable 2D convolution operation with optional bias

separableConv2d(SDVariable, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Separable 2D convolution operation with optional bias

separableConv2d(SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Separable 2D convolution operation with optional bias

separableConv2d(INDArray, INDArray, INDArray, INDArray, Conv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Separable 2D convolution operation with optional bias

separableConv2d(INDArray, INDArray, INDArray, Conv2DConfig) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Separable 2D convolution operation with optional bias

SEQUENCE - org.nd4j.autodiff.samediff.VariableType

SEQUENCE - Static variable in class org.nd4j.graph.VarType

SEQUENCE_TYPE - onnx.Onnx.TypeProto.ValueCase

SEQUENCE_TYPE - onnx.OnnxMl.TypeProto.ValueCase

SEQUENCE_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto

SEQUENCE_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto

SequenceItem - Class in org.nd4j.graph

SequenceItem() - Constructor for class org.nd4j.graph.SequenceItem

SequenceItem.Vector - Class in org.nd4j.graph

SequenceItemRoot - Class in org.nd4j.graph

SequenceItemRoot() - Constructor for class org.nd4j.graph.SequenceItemRoot

SequenceItemRoot.Vector - Class in org.nd4j.graph

sequenceItems() - Method in class org.nd4j.graph.FlatGraph

sequenceItems(int) - Method in class org.nd4j.graph.SequenceItemRoot

sequenceItems(SequenceItem, int) - Method in class org.nd4j.graph.SequenceItemRoot

sequenceItems(SequenceItemRoot) - Method in class org.nd4j.graph.FlatGraph

sequenceItemsLength() - Method in class org.nd4j.graph.SequenceItemRoot

sequenceItemsVector() - Method in class org.nd4j.graph.SequenceItemRoot

sequenceItemsVector(SequenceItem.Vector) - Method in class org.nd4j.graph.SequenceItemRoot

sequenceLength(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Returns the length of the sequence for the given variable name

sequenceMask(String, SDVariable, int, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Generate a sequence mask (with values 0 or 1) based on the specified lengths
Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0)

sequenceMask(String, SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Generate a sequence mask (with values 0 or 1) based on the specified lengths
Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0)

sequenceMask(String, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

see sequenceMask(String, SDVariable, SDVariable, DataType)

sequenceMask(SDVariable, int, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Generate a sequence mask (with values 0 or 1) based on the specified lengths
Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0)

sequenceMask(SDVariable, SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Generate a sequence mask (with values 0 or 1) based on the specified lengths
Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0)

sequenceMask(SDVariable, DataType) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

see sequenceMask(String, SDVariable, SDVariable, DataType)

sequenceMask(INDArray, int, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

Generate a sequence mask (with values 0 or 1) based on the specified lengths
Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0)

sequenceMask(INDArray, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

see sequenceMask(String, SDVariable, SDVariable, DataType)

sequenceMask(INDArray, INDArray, DataType) - Method in class org.nd4j.linalg.factory.ops.NDBase

Generate a sequence mask (with values 0 or 1) based on the specified lengths
Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0)

SequenceMask - Class in org.nd4j.linalg.api.ops.impl.shape

SequenceMask(INDArray, int, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

SequenceMask(INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

SequenceMask(INDArray, INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

SequenceMask(SameDiff, SDVariable, int, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

SequenceMask(SameDiff, SDVariable, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

SequenceMask(SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask

SEQUENTIAL - org.nd4j.autodiff.execution.conf.ExecutionMode

all operations will be executed sequentially

SEQUENTIAL - Static variable in class org.nd4j.graph.ExecutionMode

serialize(ConfusionMatrix<Integer>, JsonGenerator, SerializerProvider) - Method in class org.nd4j.evaluation.serde.ConfusionMatrixSerializer

serialize(ROC[], JsonGenerator, SerializerProvider) - Method in class org.nd4j.evaluation.serde.ROCArraySerializer

serialize(ROC, JsonGenerator, SerializerProvider) - Method in class org.nd4j.evaluation.serde.ROCSerializer

serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.linalg.lossfunctions.serde.RowVectorSerializer

Deprecated.

serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.serde.jackson.shaded.NDArraySerializer

serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.serde.jackson.shaded.NDArrayTextSerializer

SERIALIZED_EXECUTOR_PARAMETERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

serializeWithType(ROC, JsonGenerator, SerializerProvider, TypeSerializer) - Method in class org.nd4j.evaluation.serde.ROCSerializer

serialVersionUID - Static variable in error org.nd4j.linalg.api.blas.BlasException

SERVER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateWorkerSessionRequest

SERVER_DEF_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

SERVER_LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest

SERVER_LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest

ServerDef - Class in org.tensorflow.distruntime

Defines the configuration of a single TensorFlow server.

ServerDef.Builder - Class in org.tensorflow.distruntime

Defines the configuration of a single TensorFlow server.

ServerDefOrBuilder - Interface in org.tensorflow.distruntime

ServerProtos - Class in org.tensorflow.distruntime

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CloseSessionRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateSessionResponse

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateWorkerSessionRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.DeregisterGraphRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ExtendSessionRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ListDevicesRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.MakeCallableRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.PartialRunSetupRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RegisterGraphRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ReleaseCallableRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunCallableRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

SESSION_HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepRequest

SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

SessionMemMgr - Interface in org.nd4j.autodiff.samediff.internal

set(int, Double) - Method in class org.nd4j.list.NDArrayList

set(int, T) - Method in class org.nd4j.linalg.util.DeviceLocal

This method sets object for specific device

set(int, X) - Method in class org.nd4j.list.BaseNDArrayList

set(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable

This method updates state with given Throwable

set(T) - Method in class org.nd4j.linalg.util.DeviceLocal

This method sets object for current device

Set - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise

Set

Set() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

Set(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

Set(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

Set(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

Set(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

setAlgorithm(Onnx.GraphProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field represents a training algorithm step.

setAlgorithm(Onnx.GraphProto.Builder) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field represents a training algorithm step.

setAlgorithm(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

setAlgorithm(OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

setAliasInputPort(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

If >= 0, the output is an alias of an input.

setAllEndRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 all_end_rel_micros = 5;

setAllocatedBytes(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder

Total number of bytes allocated if known

setAllocationDescription(AllocationDescription) - Method in class org.tensorflow.framework.TensorDescription.Builder

Information about the size and allocator used for the data

setAllocationDescription(AllocationDescription.Builder) - Method in class org.tensorflow.framework.TensorDescription.Builder

Information about the size and allocator used for the data

setAllocationId(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder

Identifier of the allocated buffer if known

setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Id of the tensor buffer being allocated, used to match to a corresponding deallocation.

setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

Id of the tensor buffer being deallocated, used to match to a corresponding allocation.

setAllocationMode(DataBuffer.AllocationMode) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory

Setter for the allocation mode

setAllocationModeForContext(String) - Static method in class org.nd4j.linalg.api.buffer.util.AllocUtil

Set the allocation mode for the nd4j context The value must be one of: heap, java cpp, or direct or an @link{IllegalArgumentException} is thrown

setAllocationModeForContext(DataBuffer.AllocationMode) - Static method in class org.nd4j.linalg.api.buffer.util.AllocUtil

Set the allocation mode for the nd4j context The value must be one of: heap, java cpp, or direct or an @link{IllegalArgumentException} is thrown

setAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

setAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The allocation and deallocation timeline.

setAllocatorBytesInUse(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

These are snapshots of the overall allocator memory stats.

setAllocatorName(String) - Method in class org.tensorflow.framework.AllocationDescription.Builder

Name of the allocator used

setAllocatorName(String) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

string allocator_name = 1;

setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the allocator used.

setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the allocator used.

setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

Name of the allocator used.

setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.AllocationDescription.Builder

Name of the allocator used

setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

string allocator_name = 1;

setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the allocator used.

setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the allocator used.

setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

Name of the allocator used.

setAllocatorType(String) - Method in class org.tensorflow.framework.GPUOptions.Builder

The type of GPU allocation strategy to use.

setAllocatorTypeBytes(ByteString) - Method in class org.tensorflow.framework.GPUOptions.Builder

The type of GPU allocation strategy to use.

setAllocBytes(long) - Method in class org.tensorflow.framework.AllocationRecord.Builder

Number of bytes allocated, or de-allocated if negative.

setAllocMicros(long) - Method in class org.tensorflow.framework.AllocationRecord.Builder

The timestamp of the operation.

setAllowedValues(AttrValue) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

A list of values that this kernel supports for this attr.

setAllowedValues(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

The set of allowed values.

setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

A list of values that this kernel supports for this attr.

setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

The set of allowed values.

setAllowGrowth(boolean) - Method in class org.tensorflow.framework.GPUOptions.Builder

If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.

setAllowSoftPlacement(boolean) - Method in class org.tensorflow.framework.ConfigProto.Builder

Whether soft placement is allowed.

setAllowsUninitializedInput(boolean) - Method in class org.tensorflow.framework.OpDef.Builder

By default, all inputs to an Op must be initialized Tensors.

setAllStartMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 all_start_micros = 2;

setAnyInfo(Any) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A serialized protobuf.

setAnyInfo(Any.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A serialized protobuf.

setAnyList(CollectionDef.AnyList) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.AnyList any_list = 5;

setAnyList(CollectionDef.AnyList.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.AnyList any_list = 5;

setArgDescriptor(int, OpNamespace.ArgDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

setArgDescriptor(int, OpNamespace.ArgDescriptor.Builder) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

repeated .org.nd4j.ir.ArgDescriptor argDescriptor = 2;

setArgIndex(int) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

int32 argIndex = 11;

setArgOptional(boolean) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool argOptional = 13;

setArgOrder(int, String) - Method in class org.tensorflow.framework.ApiDef.Builder

List of original in_arg names to specify new argument order.

setArgs(INDArray[], long[], DataType[], double[], boolean[]) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setArgs(INDArray[], long[], DataType[], double[], boolean[]) - Method in interface org.nd4j.linalg.api.ops.OpContext

set context arguments

setArgType(OpNamespace.ArgDescriptor.ArgType) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.ArgDescriptor.ArgType argType = 10;

setArgTypeValue(int) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.ArgDescriptor.ArgType argType = 10;

setArithmeticOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Arithmetic optimizations (default is ON) e.g.

setArithmeticOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Arithmetic optimizations (default is ON) e.g.

setArray(String, INDArray) - Method in class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder

setArray(String, INDArray) - Method in class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder

setArray(String, INDArray) - Method in class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

setArray(String, INDArray) - Method in interface org.nd4j.autodiff.samediff.ArrayHolder

Set the array for the specified name (new array, or replace if it already exists)

setArray(INDArray) - Method in class org.nd4j.autodiff.samediff.SDVariable

Associate the specified array with this variable

setArrayAtIndex(List<INDArray>, int, INDArray) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

setArrayForVariable(String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff

Set the stored INDArray for a variable.

setArrayHolders(ArrayHolder, ArrayHolder, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Set the array holders for variable and constant arrays
NOTE: this is usually reserved for developers and internal use, and should not be needed by almost all users
See ArrayHolder for more details

setAssetFileDef(int, AssetFileDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

setAssetFileDef(int, AssetFileDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

Asset file def to be used with the defined graph.

setAsync(boolean) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Whether the ops on the worker should be executed synchronously or asynchronously.

setAttr(int, ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

setAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Attr attr = 6;

setAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

setAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

repeated .tensorflow.OpDef.AttrDef attr = 4;

setAttribute(int, String) - Method in class onnx.Onnx.FunctionProto.Builder

The attributes of the function.

setAttribute(int, String) - Method in class onnx.OnnxMl.FunctionProto.Builder

The attributes of the function.

setAttribute(int, Onnx.AttributeProto) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

setAttribute(int, Onnx.AttributeProto.Builder) - Method in class onnx.Onnx.NodeProto.Builder

Additional named attributes.

setAttribute(int, OnnxMl.AttributeProto) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

setAttribute(int, OnnxMl.AttributeProto.Builder) - Method in class onnx.OnnxMl.NodeProto.Builder

Additional named attributes.

setAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

setAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Serialized data specific to this object.

setAudio(Summary.Audio) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Audio audio = 6;

setAudio(Summary.Audio.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Audio audio = 6;

setAutoGcWindow(int) - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

setAutoGcWindow(int) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method enables/disables periodic System.gc() calls.

setAutoParallel(AutoParallelOptions) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

setAutoParallel(AutoParallelOptions.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.

setAxis(int) - Method in class org.nd4j.evaluation.classification.Evaluation

Set the axis for evaluation - this is the dimension along which the probability (and label classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3

setAxis(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Set the axis for evaluation - this is the dimension along which the probability (and label classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3

setAxis(int) - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

Set the axis for evaluation - this is the dimension along which the probability (and label classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3

setAxis(int) - Method in class org.nd4j.evaluation.classification.ROC

Set the axis for evaluation - this should be a size 1 dimension For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3

setAxis(int) - Method in class org.nd4j.evaluation.classification.ROCBinary

Set the axis for evaluation - this is the dimension along which the probability (and label independent binary classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3

setAxis(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

Set the axis for evaluation - this is the dimension along which the probability (and label classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3

setAxis(int) - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

Set the axis for evaluation - this is the dimension along which the probability (and label classes) are present.
For DL4J, this can be left as the default setting (axis = 1).
Axis should be set as follows:
For 2D (OutputLayer), shape [minibatch, numClasses] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NCW format, shape [minibatch, numClasses, sequenceLength] - axis = 1
For 3D, RNNs/CNN1D (DL4J RnnOutputLayer), NWC format, shape [minibatch, sequenceLength, numClasses] - axis = 2
For 4D, CNN2D (DL4J CnnLossLayer), NCHW format, shape [minibatch, channels, height, width] - axis = 1
For 4D, CNN2D, NHWC format, shape [minibatch, height, width, channels] - axis = 3

setB(boolean) - Method in class org.tensorflow.framework.AttrValue.Builder

"bool"

setB(int, boolean) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(bool)"

setBackProp(boolean) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Whether backprop is enabled for this while loop.

setBadConsumers(int, int) - Method in class org.tensorflow.framework.VersionDef.Builder

Specific consumer versions which are disallowed (e.g.

setBandwidth(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Memory bandwidth in KB/s

setBArguments(boolean...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setBArguments(boolean...) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method sets boolean arguments required for operation

setBegin(long) - Method in class onnx.Onnx.TensorProto.Segment.Builder

int64 begin = 1;

setBegin(long) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

int64 begin = 1;

setBegin(long) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

int64 begin = 1;

setBiasCorrected(boolean) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

setBoolVal(int, boolean) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

boolean values

setBoolVal(int, boolean) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_BOOL

setBoolValue(boolean) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool boolValue = 6;

setBranch(int) - Method in class org.tensorflow.framework.CondContextDef.Builder

Branch prediction.

setBucket(int, double) - Method in class org.tensorflow.framework.HistogramProto.Builder

repeated double bucket = 7 [packed = true];

setBucketLimit(int, double) - Method in class org.tensorflow.framework.HistogramProto.Builder

Parallel arrays encoding the bucket boundaries and the bucket values.

setBufPtr(long) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

When RDMA is in use, address of destination field on client.

setBufPtr(long) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Address of source field on server.

setBufRendezvousKey(String) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Arbitrary string identifying a BufRendezvous entry.

setBufRendezvousKeyBytes(ByteString) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Arbitrary string identifying a BufRendezvous entry.

setBuildCostModel(long) - Method in class org.tensorflow.framework.GraphOptions.Builder

The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.

setBuildCostModelAfter(long) - Method in class org.tensorflow.framework.GraphOptions.Builder

The number of steps to skip before collecting statistics for the cost model.

setBusId(int) - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional bus locality of device.

setBytes(long) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Byte size of the file.

setBytesList(CollectionDef.BytesList) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

setBytesList(CollectionDef.BytesList.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.BytesList bytes_list = 2;

setCancelOpName(String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to cancel the queue.

setCancelOpNameBytes(ByteString) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to cancel the queue.

setCheckpointKey(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The generated name of the Tensor in the checkpoint.

setCheckpointKeyBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The generated name of the Tensor in the checkpoint.

setChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

setChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Objects which this object depends on.

setClear(boolean) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

If true, discard any saved logging data (for all steps).

setClientLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on client-side device locality.

setClientLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on client-side device locality.

setClientLocality(DeviceLocality.Builder) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on client-side device locality.

setClientLocality(DeviceLocality.Builder) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on client-side device locality.

setCloseable(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Mainly for overriding closeable in specific situations where a user does not want an ndarray closed.

setCloseOpName(String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to close the queue.

setCloseOpNameBytes(ByteString) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

The operation to run to close the queue.

setCluster(ClusterDef) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The cluster of which this server is a member.

setCluster(ClusterDef.Builder) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The cluster of which this server is a member.

setClusterDef(ClusterDef) - Method in class org.tensorflow.framework.ConfigProto.Builder

Optional list of all workers to use in this session.

setClusterDef(ClusterDef.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder

Optional list of all workers to use in this session.

setCollectiveGraphKey(long) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

If graph_def contains any collective ops this must be a positive integer used to coordinate execution with other graphs.

setCollectiveGraphKey(long) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).

setCollectiveGroupLeader(String) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

Task name for group resolution.

setCollectiveGroupLeaderBytes(ByteString) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

Task name for group resolution.

setColorspace(int) - Method in class org.tensorflow.framework.Summary.Image.Builder

Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA

setColumnNames(List<String>) - Method in interface org.nd4j.linalg.dataset.api.DataSet

setColumnNames(List<String>) - Method in class org.nd4j.linalg.dataset.DataSet

Deprecated.

setComplete(String, boolean) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache

Sets the flag indicating whether given namespace is fully cached

setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache

setComputeCost(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Estimate of the computational cost of this node, in microseconds.

setComputeTime(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Analytical estimate of the computational cost of this node, in microseconds.

setCondCtxt(CondContextDef) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.CondContextDef cond_ctxt = 1;

setCondCtxt(CondContextDef.Builder) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.CondContextDef cond_ctxt = 1;

setConfig(ConfigProto) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

Configuration options.

setConfig(ConfigProto.Builder) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

Configuration options.

setConfiguration(T, WorkspaceConfiguration) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

setConfiguration(T, WorkspaceConfiguration) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Set the workspace configuration for the specified array type

setConstant(boolean) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

This method allows you to mark databuffer as constant.

setConstant(boolean) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

This method allows you to mark databuffer as constant.

setConstantFolding(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.

setConstantFoldingValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.

setConstNodeInfo(int, GraphTransferConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

setConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;

setConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

setConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

setContainer(int, String) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

A list of container names.

setContainer(int, String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

A list of container names, which may be empty.

setContainer(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Container in which this resource is placed.

setContainerBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Container in which this resource is placed.

setContent(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

The content to store for the plugin.

setContentType(String) - Method in class org.tensorflow.framework.Summary.Audio.Builder

string content_type = 5;

setContentTypeBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Audio.Builder

string content_type = 5;

setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

fixed64 context_id = 1;

setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

The ID of the created context.

setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

fixed64 context_id = 1;

setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

fixed64 context_id = 1;

setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

fixed64 context_id = 1;

setContextId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

fixed64 context_id = 1;

setContextName(String) - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the context.

setContextName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the context.

setContextNameBytes(ByteString) - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the context.

setContextNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the context.

setControlDepFor(List<String>) - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

setControlDeps(List<String>) - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

setControlInput(int, int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Ids of the control inputs for this node.

setControlOpIds(int, long) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

Control Operation IDs that will be respected when ops are re-ordered by async execution.

setConvertBoolToInt(boolean) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool convertBoolToInt = 14;

setConvolution(ConvolutionInstance) - Static method in class org.nd4j.linalg.factory.Nd4j

Set a convolution instance

setCooSparse(TensorInfo.CooSparse) - Method in class org.tensorflow.framework.TensorInfo.Builder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

setCooSparse(TensorInfo.CooSparse.Builder) - Method in class org.tensorflow.framework.TensorInfo.Builder

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).

setCostGraph(CostGraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

.tensorflow.CostGraphDef cost_graph = 3;

setCostGraph(CostGraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder

The cost graph for the computation defined by the run call.

setCostGraph(CostGraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

.tensorflow.CostGraphDef cost_graph = 3;

setCostGraph(CostGraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder

The cost graph for the computation defined by the run call.

setCrc32C(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder

The CRC32C checksum of the tensor bytes.

setCreateWorkerSessionCalled(boolean) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

Set to true if `CreateWorkerSession` was called for `session_handle`.

setCreateWorkerSessionCalled(boolean) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Set to true if `CreateWorkerSession` was called for `session_handle`.

setCreateWorkerSessionCalled(boolean) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Set to true if `CreateWorkerSession` was called for `session_handle`.

setCriticalSectionName(String) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

Name of the critical section handle.

setCriticalSectionNameBytes(ByteString) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

Name of the critical section handle.

setCurrentGraphVersion(long) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The version number of the graph to be extended.

setCurrentWork(ByteString) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

bytes current_work = 4;

setCurrentWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

setCurrentWorkspace(MemoryWorkspace) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder

list of CustomGraphOptimizers to apply.

setDArguments(DataType...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setDArguments(DataType...) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method sets data type arguments required for operation

setData(boolean[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

setData(boolean[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

setData(byte[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

setData(byte[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

setData(double[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

setData(double[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Set the data for this buffer

setData(double[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Set the data for the underlying array.

setData(float[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

setData(float[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Set the data for this buffer

setData(float[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Set the data for the underlying array.

setData(int[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

setData(int[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Set the data for this buffer

setData(long[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

setData(long[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Set the data for this buffer

setData(short[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

setData(short[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

setData(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

setData(DataBuffer) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Set the data for this ndarray.

setData(DataBuffer, int) - Method in interface org.nd4j.linalg.api.buffer.allocation.MemoryStrategy

setData(DataBuffer, int, int, int) - Method in interface org.nd4j.linalg.api.buffer.allocation.MemoryStrategy

Set the data for the buffer

setData(ByteString) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

bytes data = 4;

setDataLocation(Onnx.TensorProto.DataLocation) - Method in class onnx.Onnx.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

setDataLocation(OnnxMl.TensorProto.DataLocation) - Method in class onnx.OnnxMl.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

setDataLocation(TensorNamespace.TensorProto.DataLocation) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

setDataLocationValue(int) - Method in class onnx.Onnx.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

setDataLocationValue(int) - Method in class onnx.OnnxMl.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

setDataLocationValue(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

setDataType(int) - Method in class onnx.Onnx.TensorProto.Builder

The data type of the tensor.

setDataType(int) - Method in class onnx.OnnxMl.TensorProto.Builder

The data type of the tensor.

setDataType(int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The data type of the tensor.

setDataType(DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

use Nd4j.setDefaultDataTypes(DataType, DataType). Equivalent to setDefaultDataTypes(dtype, (dtype.isFPType() ? dtype : defaultFloatingPointType()))

setDataType(DataType) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.DataType data_type = 3;

setDataTypeValue(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.DataType data_type = 3;

setDataTypeValue(TensorNamespace.DataType) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.DataType dataTypeValue = 7;

setDataTypeValueValue(int) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.DataType dataTypeValue = 7;

setDcomplexVal(int, double) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX128.

setDebug(boolean) - Method in interface org.nd4j.linalg.factory.Environment

Set debug mode

setDebugMode(DebugMode) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method allows to enable (and pick one) global debug mode for workspaces Default value: DISABLED

setDebugMode(DebugMode) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

setDebugOps(int, String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name(s) of the debugging op(s).

setDebugOptions(DebugOptions) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Field(s) used by TensorFlow Debugger (tfdbg).

setDebugOptions(DebugOptions) - Method in class org.tensorflow.framework.RunOptions.Builder

EXPERIMENTAL.

setDebugOptions(DebugOptions.Builder) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Field(s) used by TensorFlow Debugger (tfdbg).

setDebugOptions(DebugOptions.Builder) - Method in class org.tensorflow.framework.RunOptions.Builder

EXPERIMENTAL.

setDebugStripper(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Strips debug-related nodes from the graph (off by default).

setDebugStripperValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Strips debug-related nodes from the graph (off by default).

setDebugTensorWatchOpts(int, DebugTensorWatch) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

setDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - Method in class org.tensorflow.framework.DebugOptions.Builder

Debugging options

setDebugUrls(int, String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

URL(s) for debug targets(s).

setDefaultCompression(String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Set the default compression algorithm

setDefaultDataTypes(DataType, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Set the default data types.
The default data types are used for array creation methods where no data type is specified.
When the user explicitly provides a datatype (such as in Nd4j.ones(DataType.FLOAT, 1, 10)) these default values will not be used.
defaultType: used in methods such as Nd4j.ones(1,10) and Nd4j.zeros(10).
defaultFloatingPointType: used internally where a floating point array needs to be created, but no datatype is specified.

setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op

setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef

setDefaultSessionConfig(ConfigProto) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The default configuration for sessions that run on this server.

setDefaultSessionConfig(ConfigProto.Builder) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The default configuration for sessions that run on this server.

setDefaultValue(AttrValue) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Specify a new default value to use for this attr.

setDefaultValue(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A reasonable default for this attribute if the user does not supply a value.

setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Specify a new default value to use for this attr.

setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A reasonable default for this attribute if the user does not supply a value.

setDefaultWorkspaceConfiguration(WorkspaceConfiguration) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

This method allows to specify "Default" configuration, that will be used in signatures which do not have WorkspaceConfiguration argument

setDefaultWorkspaceConfiguration(WorkspaceConfiguration) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method sets default workspace configuration for this provider instance

setDeferred(boolean) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

True if the deallocation is queued and will be performed later, e.g.

setDeferredDeletionBytes(long) - Method in class org.tensorflow.framework.GPUOptions.Builder

Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.

setDenotation(String) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

setDenotation(String) - Method in class onnx.Onnx.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

setDenotation(String) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

setDenotation(String) - Method in class onnx.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

setDenotationBytes(ByteString) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

setDenotationBytes(ByteString) - Method in class onnx.Onnx.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

setDenotationBytes(ByteString) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

setDenotationBytes(ByteString) - Method in class onnx.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

setDenseShapeTensorName(String) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.

setDenseShapeTensorNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.

setDependencyOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Control dependency optimizations (default is ON).

setDependencyOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Control dependency optimizations (default is ON).

setDeprecation(OpDeprecation) - Method in class org.tensorflow.framework.OpDef.Builder

Optional deprecation based on GraphDef versions.

setDeprecation(OpDeprecation.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

Optional deprecation based on GraphDef versions.

setDeprecationMessage(String) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

If this endpoint is deprecated, set deprecation_message to a message that should be logged when the endpoint is used.

setDeprecationMessageBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

If this endpoint is deprecated, set deprecation_message to a message that should be logged when the endpoint is used.

setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Note: this will replace any inherited arg doc.

setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.

setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Builder

Additional, longer human-readable description of what the Op does.

setDescription(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Human readable description.

setDescription(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

Human-readable description.

setDescription(String) - Method in class org.tensorflow.framework.OpDef.Builder

Additional, longer human-readable description of what the Op does.

setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Note: this will replace any inherited arg doc.

setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.

setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder

Additional, longer human-readable description of what the Op does.

setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Human readable description.

setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

Human-readable description.

setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder

Additional, longer human-readable description of what the Op does.

setDescriptionPrefix(String) - Method in class org.tensorflow.framework.ApiDef.Builder

Modify an existing/inherited description by adding text to the beginning or end.

setDescriptionPrefixBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder

Modify an existing/inherited description by adding text to the beginning or end.

setDescriptionSuffix(String) - Method in class org.tensorflow.framework.ApiDef.Builder

string description_suffix = 10;

setDescriptionSuffixBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder

string description_suffix = 10;

setDestination(GraphTransferInfo.Destination) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Destination of graph transfer

setDestinationValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Destination of graph transfer

setDevice(String) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device = 10;

setDevice(String) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The device of the node.

setDevice(String) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

string device = 1;

setDevice(String) - Method in class org.tensorflow.framework.NodeDef.Builder

A (possibly partial) specification for the device on which this node should be placed.

setDevice(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name for the device containing the resource.

setDevice(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string device = 6;

setDeviceAttributes(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

setDeviceAttributes(int, DeviceAttributes) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

setDeviceAttributes(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

repeated .tensorflow.DeviceAttributes device_attributes = 1;

setDeviceAttributes(int, DeviceAttributes.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

List of devices that are locally accessible to the worker.

setDeviceBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device = 10;

setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The device of the node.

setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

string device = 1;

setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder

A (possibly partial) specification for the device on which this node should be placed.

setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name for the device containing the resource.

setDeviceBytes(ByteString) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string device = 6;

setDeviceFilters(int, String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

When any filters are present, only devices that match the filters will be reset.

setDeviceFilters(int, String) - Method in class org.tensorflow.framework.ConfigProto.Builder

When any filters are present sessions will ignore all devices which do not match the filters.

setDeviceId(int) - Method in class org.tensorflow.framework.InterconnectLink.Builder

int32 device_id = 1;

setDeviceLimit(int, long) - Method in interface org.nd4j.linalg.factory.Environment

This method allows to set memory limit for a specific device.

setDeviceName(int, String) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

repeated string device_name = 4;

setDeviceName(int, String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

repeated string device_name = 5;

setDevicePersistentMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Deprecated.

tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52

setDevicePersistentMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=47

setDevicePersistentTensorAllocIds(int, long) - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=48

setDeviceTempMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Deprecated.

tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=51

setDeviceTempMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder

Deprecated.

tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=46

setDeviceType(String) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

string device_type = 3;

setDeviceType(String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

string device_type = 3;

setDeviceType(String) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device_type = 8;

setDeviceType(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of device_type.

setDeviceType(String) - Method in class org.tensorflow.framework.KernelDef.Builder

Type of device this kernel runs on.

setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

string device_type = 3;

setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

string device_type = 3;

setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string device_type = 8;

setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of device_type.

setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder

Type of device this kernel runs on.

setDevStats(int, DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

setDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder

repeated .tensorflow.DeviceStepStats dev_stats = 1;

setDiag(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Set the diagonal value to the specified values
If input is
[ a, b, c]
[ d, e, f]
[ g, h, i]
and diag = [ 1, 2, 3] then output is
[ 1, b, c]
[ d, 2, f]
[ g, h, 3]

setDiag(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Set the diagonal value to the specified values
If input is
[ a, b, c]
[ d, e, f]
[ g, h, i]
and diag = [ 1, 2, 3] then output is
[ 1, b, c]
[ d, 2, f]
[ g, h, 3]

setDiag(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Set the diagonal value to the specified values
If input is
[ a, b, c]
[ d, e, f]
[ g, h, i]
and diag = [ 1, 2, 3] then output is
[ 1, b, c]
[ d, 2, f]
[ g, h, 3]

setDim(int, Onnx.TensorShapeProto.Dimension) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

setDim(int, Onnx.TensorShapeProto.Dimension.Builder) - Method in class onnx.Onnx.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

setDim(int, OnnxMl.TensorShapeProto.Dimension) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

setDim(int, OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

setDim(int, TensorNamespace.TensorShapeProto.Dimension) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

setDim(int, TensorNamespace.TensorShapeProto.Dimension.Builder) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;

setDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

setDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.

setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp

setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

setDimension(int...) - Method in interface org.nd4j.linalg.api.ops.BroadcastOp

Set the dimension for the vector op.

setDimension(int...) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEps

setDimension(int...) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

setDimension(int...) - Method in interface org.nd4j.linalg.api.ops.ScalarOp

setDimensions(int...) - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

setDimensions(int[]) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

setDimensions(int[]) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

setDimensions(int[]) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

setDimensions(int[]) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp

setDimensions(int...) - Method in interface org.nd4j.linalg.api.ops.ReduceOp

setDimParam(String) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

namespace Shape

setDimParam(String) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

setDimParam(String) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

namespace Shape

setDimParamBytes(ByteString) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

namespace Shape

setDimParamBytes(ByteString) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

setDimParamBytes(ByteString) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

namespace Shape

setDims(int, long) - Method in class onnx.Onnx.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

setDims(int, long) - Method in class onnx.Onnx.TensorProto.Builder

The shape of the tensor.

setDims(int, long) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

setDims(int, long) - Method in class onnx.OnnxMl.TensorProto.Builder

The shape of the tensor.

setDims(int, long) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

The shape of the tensor.

setDimValue(long) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

setDimValue(long) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

setDimValue(long) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

setDisableModelPruning(boolean) - Method in class org.tensorflow.framework.RewriterConfig.Builder

If true, don't remove unnecessary ops from the graph

setDisableRpcLogging(boolean) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

If true, RPC logging will be disabled.

setDisplayName(String) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Display name for viewing in TensorBoard.

setDisplayNameBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Display name for viewing in TensorBoard.

setDmaOk(boolean) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

If true, use an out-of-band DMA mechanism to transfer the received tensor.

setDoCommonSubexpressionElimination(boolean) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

If true, optimize the graph using common subexpression elimination.

setDoConstantFolding(boolean) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

If true, perform constant folding optimization on the graph.

setDocString(String) - Method in class onnx.Onnx.AttributeProto.Builder

A human-readable documentation for this attribute.

setDocString(String) - Method in class onnx.Onnx.FunctionProto.Builder

A human-readable documentation for this function.

setDocString(String) - Method in class onnx.Onnx.GraphProto.Builder

A human-readable documentation for this graph.

setDocString(String) - Method in class onnx.Onnx.ModelProto.Builder

A human-readable documentation for this model.

setDocString(String) - Method in class onnx.Onnx.NodeProto.Builder

A human-readable documentation for this node.

setDocString(String) - Method in class onnx.Onnx.TensorProto.Builder

A human-readable documentation for this tensor.

setDocString(String) - Method in class onnx.Onnx.ValueInfoProto.Builder

A human-readable documentation for this value.

setDocString(String) - Method in class onnx.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

setDocString(String) - Method in class onnx.OnnxMl.FunctionProto.Builder

A human-readable documentation for this function.

setDocString(String) - Method in class onnx.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

setDocString(String) - Method in class onnx.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

setDocString(String) - Method in class onnx.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

setDocString(String) - Method in class onnx.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

setDocString(String) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

setDocString(String) - Method in class onnx.OnnxOperators.OperatorProto.Builder

A human-readable documentation for this operator.

setDocString(String) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

A human-readable documentation for this set of operators.

setDocString(String) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

A human-readable documentation for this tensor.

setDocString(String) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

A human-readable documentation for this value.

setDocStringBytes(ByteString) - Method in class onnx.Onnx.AttributeProto.Builder

A human-readable documentation for this attribute.

setDocStringBytes(ByteString) - Method in class onnx.Onnx.FunctionProto.Builder

A human-readable documentation for this function.

setDocStringBytes(ByteString) - Method in class onnx.Onnx.GraphProto.Builder

A human-readable documentation for this graph.

setDocStringBytes(ByteString) - Method in class onnx.Onnx.ModelProto.Builder

A human-readable documentation for this model.

setDocStringBytes(ByteString) - Method in class onnx.Onnx.NodeProto.Builder

A human-readable documentation for this node.

setDocStringBytes(ByteString) - Method in class onnx.Onnx.TensorProto.Builder

A human-readable documentation for this tensor.

setDocStringBytes(ByteString) - Method in class onnx.Onnx.ValueInfoProto.Builder

A human-readable documentation for this value.

setDocStringBytes(ByteString) - Method in class onnx.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

setDocStringBytes(ByteString) - Method in class onnx.OnnxMl.FunctionProto.Builder

A human-readable documentation for this function.

setDocStringBytes(ByteString) - Method in class onnx.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

setDocStringBytes(ByteString) - Method in class onnx.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

setDocStringBytes(ByteString) - Method in class onnx.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

setDocStringBytes(ByteString) - Method in class onnx.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

setDocStringBytes(ByteString) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

setDocStringBytes(ByteString) - Method in class onnx.OnnxOperators.OperatorProto.Builder

A human-readable documentation for this operator.

setDocStringBytes(ByteString) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

A human-readable documentation for this set of operators.

setDocStringBytes(ByteString) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

A human-readable documentation for this tensor.

setDocStringBytes(ByteString) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

A human-readable documentation for this value.

setDoFunctionInlining(boolean) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

If true, perform function inlining on the graph.

setDomain(String) - Method in class onnx.Onnx.FunctionProto.Builder

The domain which this function belongs to.

setDomain(String) - Method in class onnx.Onnx.ModelProto.Builder

Domain name of the model.

setDomain(String) - Method in class onnx.Onnx.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

setDomain(String) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

The domain of the operator set being identified.

setDomain(String) - Method in class onnx.OnnxMl.FunctionProto.Builder

The domain which this function belongs to.

setDomain(String) - Method in class onnx.OnnxMl.ModelProto.Builder

Domain name of the model.

setDomain(String) - Method in class onnx.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

setDomain(String) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

setDomain(String) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

setDomain(String) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).

setDomainBytes(ByteString) - Method in class onnx.Onnx.FunctionProto.Builder

The domain which this function belongs to.

setDomainBytes(ByteString) - Method in class onnx.Onnx.ModelProto.Builder

Domain name of the model.

setDomainBytes(ByteString) - Method in class onnx.Onnx.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

setDomainBytes(ByteString) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

The domain of the operator set being identified.

setDomainBytes(ByteString) - Method in class onnx.OnnxMl.FunctionProto.Builder

The domain which this function belongs to.

setDomainBytes(ByteString) - Method in class onnx.OnnxMl.ModelProto.Builder

Domain name of the model.

setDomainBytes(ByteString) - Method in class onnx.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

setDomainBytes(ByteString) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

setDomainBytes(ByteString) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

setDomainBytes(ByteString) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).

setDoubleData(int, double) - Method in class onnx.Onnx.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

setDoubleData(int, double) - Method in class onnx.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

setDoubleData(int, double) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

setDoubleVal(int, double) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_DOUBLE.

setDoubleValue(double) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

double doubleValue = 3;

setDstDevice(String) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

string dst_device = 9;

setDstDeviceBytes(ByteString) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

string dst_device = 9;

setDtype(DataType) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.DataType dtype = 4;

setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

.tensorflow.DataType dtype = 5;

setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

setDtype(DataType) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.DataType dtype = 1;

setDtype(DataType) - Method in class org.tensorflow.framework.TensorDescription.Builder

Data type of tensor elements

setDtype(DataType) - Method in class org.tensorflow.framework.TensorInfo.Builder

.tensorflow.DataType dtype = 2;

setDtype(DataType) - Method in class org.tensorflow.framework.TensorProto.Builder

.tensorflow.DataType dtype = 1;

setDtype(DataType) - Method in class org.tensorflow.util.BundleEntryProto.Builder

The tensor dtype and shape.

setDType(DataType) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Sets the data opType

setDType(DataType) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Sets the data opType

setDTypeForContext(String) - Static method in class org.nd4j.linalg.api.buffer.util.DataTypeUtil

Set the allocation mode for the nd4j context The value must be one of: heap, java cpp, or direct or an @link{IllegalArgumentException} is thrown

setDTypeForContext(DataType) - Static method in class org.nd4j.linalg.api.buffer.util.DataTypeUtil

Set the allocation mode for the nd4j context The value must be one of: heap, java cpp, or direct or an @link{IllegalArgumentException} is thrown

setDtypeValue(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.DataType dtype = 4;

setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

.tensorflow.DataType dtype = 5;

setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

.tensorflow.DataType dtype = 3;

setDtypeValue(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.DataType dtype = 1;

setDtypeValue(int) - Method in class org.tensorflow.framework.TensorDescription.Builder

Data type of tensor elements

setDtypeValue(int) - Method in class org.tensorflow.framework.TensorInfo.Builder

.tensorflow.DataType dtype = 2;

setDtypeValue(int) - Method in class org.tensorflow.framework.TensorProto.Builder

.tensorflow.DataType dtype = 1;

setDtypeValue(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder

The tensor dtype and shape.

setDuration(double) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

Length of the trace to be taken, in seconds.

setEagerArrForVarName(String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff

Sets an array for the given variable name in the eager session.

setElementsThreshold(int) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

This method allows to set desired number of elements per thread, for performance optimization purposes.

setElementsThreshold(int) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method allows to set desired number of elements per thread, for performance optimization purposes.

setElementWiseStride(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the element wise stride for the shape info buffer

setElementWiseStride(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the element wise stride for the shape info buffer

setElementwiseThreshold(int) - Method in interface org.nd4j.linalg.factory.Environment

Set the elementwise threshold for ops

setElemType(int) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

setElemType(int) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

setElemType(int) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

setElemType(int) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

setElemType(Onnx.TypeProto) - Method in class onnx.Onnx.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

setElemType(Onnx.TypeProto) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

setElemType(Onnx.TypeProto.Builder) - Method in class onnx.Onnx.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

setElemType(Onnx.TypeProto.Builder) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

setElemType(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

setElemType(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

setElemType(OnnxMl.TypeProto.Builder) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

The type and optional shape of the element wrapped.

setElemType(OnnxMl.TypeProto.Builder) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

setElemType(TensorNamespace.DataType) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.

setElemTypeValue(int) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.

setEnable(boolean) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

bool enable = 1;

setEnableBfloat16Sendrecv(boolean) - Method in class org.tensorflow.framework.GraphOptions.Builder

If true, transfer float values between processes as bfloat16.

setEnableOp(int, String) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

If present, only perform optimization for these ops.

setEnableRecvScheduling(boolean) - Method in class org.tensorflow.framework.GraphOptions.Builder

If true, use control flow to schedule the activation of Recv nodes.

setEnableRpcLogging(boolean) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

If true, RPC logging will be enabled.

setEncodedAudioString(ByteString) - Method in class org.tensorflow.framework.Summary.Audio.Builder

Encoded audio data and its associated RFC 2045 content type (e.g.

setEncodedImageString(ByteString) - Method in class org.tensorflow.framework.Summary.Image.Builder

Image data in encoded format.

setEnd(long) - Method in class onnx.Onnx.TensorProto.Segment.Builder

int64 end = 2;

setEnd(long) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

int64 end = 2;

setEnd(long) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

int64 end = 2;

setEndianness(BundleHeaderProto.Endianness) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

.tensorflow.BundleHeaderProto.Endianness endianness = 2;

setEndiannessValue(int) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

.tensorflow.BundleHeaderProto.Endianness endianness = 2;

setEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

setEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Endpoint endpoint = 3;

setEnqueueOpName(int, String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of enqueue operations.

setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Set the metadata for this DataSet
By convention: the metadata can be any serializable object, one per example in the DataSet

setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Set the metadata for this MultiDataSet
By convention: the metadata can be any serializable object, one per example in the MultiDataSet

setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.DataSet

setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.MultiDataSet

setExclusiveResourceAccess(boolean) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

Whether this operation requires exclusive access to its resources, (i.e., no other CriticalSections may request the same resources).

setExecOpts(ExecutorOpts) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Options for this step.

setExecOpts(ExecutorOpts.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Options for this step.

setExecuteInCriticalSectionName(String) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

Name of the critical section handle.

setExecuteInCriticalSectionNameBytes(ByteString) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

Name of the critical section handle.

setExecutionMode(ExecutionMode) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method allows to set certain execution mode

setExecutorName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Executor's name

setExecutorNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Executor's name

setExperimental(ConfigProto.Experimental) - Method in class org.tensorflow.framework.ConfigProto.Builder

.tensorflow.ConfigProto.Experimental experimental = 16;

setExperimental(ConfigProto.Experimental.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder

.tensorflow.ConfigProto.Experimental experimental = 16;

setExperimental(GPUOptions.Experimental) - Method in class org.tensorflow.framework.GPUOptions.Builder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

setExperimental(GPUOptions.Experimental.Builder) - Method in class org.tensorflow.framework.GPUOptions.Builder

Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

setExperimental(RunOptions.Experimental) - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.Experimental experimental = 8;

setExperimental(RunOptions.Experimental.Builder) - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.Experimental experimental = 8;

setExplanation(String) - Method in class org.tensorflow.framework.OpDeprecation.Builder

Explanation of why it was deprecated and what to use instead.

setExplanationBytes(ByteString) - Method in class org.tensorflow.framework.OpDeprecation.Builder

Explanation of why it was deprecated and what to use instead.

setExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

setExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

Extent of the slice in all tensor dimensions.

setExternalData(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

setExternalData(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

setExternalData(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

setExternalData(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

setExternalData(int, TensorNamespace.StringStringEntryProto) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

setExternalData(int, TensorNamespace.StringStringEntryProto.Builder) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

setExtraArgs(Object[]) - Method in interface org.nd4j.linalg.api.ops.Op

setF(float) - Method in class onnx.Onnx.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

setF(float) - Method in class onnx.OnnxMl.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

setF(float) - Method in class org.tensorflow.framework.AttrValue.Builder

"float"

setF(int, float) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(float)"

setFactory(NDArrayFactory) - Static method in class org.nd4j.linalg.factory.Nd4j

Set the factory instance for INDArray creation.

setFeatures(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Set a single features array (by index) for the MultiDataSet

setFeatures(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet

setFeatures(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Set the features array for the DataSet

setFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet

setFeatures(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Set all of the features arrays for the MultiDataSet

setFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet

setFeaturesMaskArray(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Set a single feature mask array by index

setFeaturesMaskArray(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet

setFeaturesMaskArray(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Set the features mask array in this DataSet

setFeaturesMaskArray(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet

setFeaturesMaskArrays(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Set the feature mask arrays

setFeaturesMaskArrays(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet

setFeatureStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

setFeed(int, String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Tensors to be fed in future steps.

setFeed(int, String) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be fed in the callable.

setFeed(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

setFeed(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Tensors to be fed in the step.

setFeed(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

setFeed(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.

setFetch(int, String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Fetches.

setFetch(int, String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Fetches.

setFetch(int, String) - Method in class org.tensorflow.framework.CallableOptions.Builder

Fetches.

setFetch(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

setFetch(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.

setFetchStepId(int, long) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

When set, requests all saved log data pertaining to the step.

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.AttributeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.FunctionProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.GraphProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.ModelProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.NodeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.SparseTensorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.StringStringEntryProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorAnnotation.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorProto.Segment.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorShapeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TrainingInfoProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Map.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Optional.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.ValueInfoProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.AttributeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.FunctionProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.GraphProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.ModelProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.NodeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperators.OperatorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.JobDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ServerDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.StepSequence.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AssetFileDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CallableOptions.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CondContextDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugOptions.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GradientDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphOptions.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.InterconnectLink.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.LocalLinks.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpList.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RewriterConfig.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RPCOptions.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunMetadata.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SavedModel.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SignatureDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.StepStats.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorConnection.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ValuesDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariableDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VersionDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.WhileContextDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleEntryProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.SaverDef.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

setFilename(String) - Method in class org.tensorflow.framework.AssetFileDef.Builder

The filename within an assets directory.

setFilenameBytes(ByteString) - Method in class org.tensorflow.framework.AssetFileDef.Builder

The filename within an assets directory.

setFilenameTensorName(String) - Method in class org.tensorflow.util.SaverDef.Builder

The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.

setFilenameTensorNameBytes(ByteString) - Method in class org.tensorflow.util.SaverDef.Builder

The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.

setFilePath(String) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Path to the source code file.

setFilePathBytes(ByteString) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Path to the source code file.

setFinalResult(Number) - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

setFinalResult(Number) - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

setFirstPointers(GridPointers) - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

setFirstPointers(GridPointers) - Method in interface org.nd4j.linalg.api.ops.MetaOp

setFloatData(int, float) - Method in class onnx.Onnx.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

setFloatData(int, float) - Method in class onnx.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

setFloatData(int, float) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

setFloatList(CollectionDef.FloatList) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.FloatList float_list = 4;

setFloatList(CollectionDef.FloatList.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.FloatList float_list = 4;

setFloats(int, float) - Method in class onnx.Onnx.AttributeProto.Builder

list of floats

setFloats(int, float) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of floats

setFloatVal(int, float) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_FLOAT.

setFloatValue(float) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

float floatValue = 2;

setForceGpuCompatible(boolean) - Method in class org.tensorflow.framework.GPUOptions.Builder

Force all tensors to be gpu_compatible.

setFrameName(String) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

setFrameworkName(String) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string frameworkName = 1;

setFrameworkNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string frameworkName = 1;

setFrequency(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Core Frequency in Mhz

setFromTensor(String) - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

setFromTensorBytes(ByteString) - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

setFullName(String) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Name of the full variable of which this is a slice.

setFullName(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The full name of the variable/tensor, if applicable.

setFullNameBytes(ByteString) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Name of the full variable of which this is a slice.

setFullNameBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

The full name of the variable/tensor, if applicable.

setFullShape(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of the full variable.

setFunc(int, NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

setFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(attr)"

setFunc(NameAttrList) - Method in class org.tensorflow.framework.AttrValue.Builder

"func" represents a function.

setFunc(NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder

"func" represents a function.

setFunction(int, FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

setFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.FunctionDef function = 1;

setFunction(String, Supplier<INDArray>) - Method in class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

setFunctionDef(FunctionDef) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

.tensorflow.FunctionDef function_def = 2;

setFunctionDef(FunctionDef.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

.tensorflow.FunctionDef function_def = 2;

setFunctionName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string functionName = 2;

setFunctionName(String) - Method in class org.tensorflow.framework.GradientDef.Builder

The function name.

setFunctionNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string functionName = 2;

setFunctionNameBytes(ByteString) - Method in class org.tensorflow.framework.GradientDef.Builder

The function name.

setFunctionOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Function optimizations (default is ON).

setFunctionOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Function optimizations (default is ON).

setFunctions(int, Onnx.FunctionProto) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

setFunctions(int, Onnx.FunctionProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

setFunctions(int, Onnx.FunctionProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

A list of function protos local to the model.

setFunctions(int, Onnx.FunctionProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The functions specified by this operator set.

setFunctions(int, OnnxMl.FunctionProto) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

setFunctions(int, OnnxMl.FunctionProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

A list of function protos local to the model.

setG(Onnx.GraphProto) - Method in class onnx.Onnx.AttributeProto.Builder

graph

setG(Onnx.GraphProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

graph

setG(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

graph

setG(OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

graph

setGlobalJitLevel(OptimizerOptions.GlobalJitLevel) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

setGlobalJitLevelValue(int) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

setGlobalName(String) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

The global name of the threadpool.

setGlobalNameBytes(ByteString) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

The global name of the threadpool.

setGlobalStep(long) - Method in class org.tensorflow.framework.DebugOptions.Builder

Caller-specified global step count.

setGpuOptions(GPUOptions) - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all GPUs.

setGpuOptions(GPUOptions.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all GPUs.

setGradient(int, GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

setGradient(int, GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

repeated .tensorflow.GradientDef gradient = 2;

setGradientForVariableName(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff

Assign a SDVariable to represent the gradient of the SDVariable with the specified name

setGradientFunc(String) - Method in class org.tensorflow.framework.GradientDef.Builder

The gradient function's name.

setGradientFuncBytes(ByteString) - Method in class org.tensorflow.framework.GradientDef.Builder

The gradient function's name.

setGraph(Onnx.GraphProto) - Method in class onnx.Onnx.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

setGraph(Onnx.GraphProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

setGraph(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

setGraph(OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

setGraphDef(GraphDef) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The initial graph definition.

setGraphDef(GraphDef) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The nodes to be added to the session's graph.

setGraphDef(GraphDef) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

setGraphDef(GraphDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

GraphDef.

setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The initial graph definition.

setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: The nodes to be added to the session's graph.

setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.

setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

GraphDef.

setGraphHandle(String) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

setGraphHandle(String) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

If the registration succeeds, returns an opaque graph_handle to the master.

setGraphHandle(String) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

setGraphHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

setGraphHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

If the registration succeeds, returns an opaque graph_handle to the master.

setGraphHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

REQUIRED: graph_handle must be returned by a RegisterGraph call to the same WorkerService.

setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

Input Node parameters of transferred graph

setGraphInputNodeName(int, String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph input node name

setGraphKey(int, long) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

repeated int64 graph_key = 1;

setGraphKey(long) - Method in class org.tensorflow.distruntime.StepSequence.Builder

int64 graph_key = 1;

setGraphOpName(String) - Method in class org.tensorflow.framework.ApiDef.Builder

Name of the op (in the OpDef) to specify the API for.

setGraphOpNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder

Name of the op (in the OpDef) to specify the API for.

setGraphOptions(GraphOptions) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Configuration options for the session in which this graph was created.

setGraphOptions(GraphOptions) - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all graphs.

setGraphOptions(GraphOptions.Builder) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Configuration options for the session in which this graph was created.

setGraphOptions(GraphOptions.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply to all graphs.

setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;

setGraphOutputNodeName(int, String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Remote fused graph output node name

setGraphs(int, Onnx.GraphProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

setGraphs(int, Onnx.GraphProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of graph

setGraphs(int, OnnxMl.GraphProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

setGraphs(int, OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of graph

setGraphVersion(long) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

The initial version number for the graph, to be used in the next call to ExtendSession.

setGroupKey(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

int32 group_key = 1;

setGroupKey(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

int32 group_key = 1;

setGroupKey(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 group_key = 5;

setGroupLimit(int, long) - Method in interface org.nd4j.linalg.factory.Environment

This method allows to set memory limit for a specific group of devices.

setGroupSize(int) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

int32 group_size = 2;

setGroupSize(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

int32 group_size = 2;

setGroupSize(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 group_size = 6;

setHalfVal(int, int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For half values (tensorflow compatibility)

setHalfVal(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_HALF, DT_BFLOAT16.

setHandle(long) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

A handle to the created callable.

setHandle(long) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

setHandle(long) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

REQUIRED: handle must be returned by a MakeCallable call to the same master service.

setHandle(String) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

Handle describing the feeds and fetches of the step.

setHandleBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

Handle describing the feeds and fetches of the step.

setHandleToDecref(EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

setHandleToDecref(EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;

setHasControlFlow(boolean) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Deprecated.

tensorflow.RegisterGraphRequest.has_control_flow is deprecated. See tensorflow/core/protobuf/worker.proto;l=117

setHashCode(long) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Hash code for the type of the resource.

setHasMinimum(boolean) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

For type == "int", this is a minimum value.

setHasSingleReference(boolean) - Method in class org.tensorflow.framework.AllocationDescription.Builder

Set if this tensor only has one remaining reference

setHeight(int) - Method in class org.tensorflow.framework.Summary.Image.Builder

Dimensions of the image.

setHisto(HistogramProto) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.HistogramProto histo = 5;

setHisto(HistogramProto.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.HistogramProto histo = 5;

setHost(String) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

The host name on which a source code file is located.

setHostBytes(ByteString) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

The host name on which a source code file is located.

setHostMemoryArg(int, String) - Method in class org.tensorflow.framework.KernelDef.Builder

Names of the Op's input_/output_args that reside in host memory instead of device memory.

setHostTempMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Deprecated.

tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=50

setI(int, long) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(int)"

setI(long) - Method in class onnx.Onnx.AttributeProto.Builder

int

setI(long) - Method in class onnx.OnnxMl.AttributeProto.Builder

int

setI(long) - Method in class org.tensorflow.framework.AttrValue.Builder

"int"

setIArguments(long...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setIArguments(long...) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method sets integer arguments required for operation

setId(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The id of the node.

setId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

A unique identifier for the operation.

setIfFirst(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable

This method updates state only if it wasn't set before

setImage(Summary.Image) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Image image = 4;

setImage(Summary.Image.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.Summary.Image image = 4;

setInArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

setInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg in_arg = 4;

setIncarnation(long) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

A device is assigned a global unique number each time it is initialized.

setIndex(int) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Index of the output being set.

setIndexer(Indexer) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

setIndexer(Indexer) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

setIndices(Onnx.TensorProto) - Method in class onnx.Onnx.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

setIndices(Onnx.TensorProto.Builder) - Method in class onnx.Onnx.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

setIndices(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

setIndices(OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

setIndicesTensorName(String) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The indices Tensor must have dtype int64 and shape [?, ?].

setIndicesTensorNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The indices Tensor must have dtype int64 and shape [?, ?].

setInferShapes(boolean) - Method in class org.tensorflow.framework.GraphOptions.Builder

Annotate each Node with Op output shape data, to the extent it can be statically inferred.

setInitialization(Onnx.GraphProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

setInitialization(Onnx.GraphProto.Builder) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

setInitialization(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

setInitialization(OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

setInitializationBinding(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

setInitializationBinding(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

setInitializationBinding(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

setInitializationBinding(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

setInitializer(int, Onnx.TensorProto) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

setInitializer(int, Onnx.TensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

setInitializer(int, OnnxMl.TensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

setInitializer(int, OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

setInitializerName(String) - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the initializer op.

setInitializerNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the initializer op.

setInitialValueName(String) - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the tensor holding the variable's initial value.

setInitialValueNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the tensor holding the variable's initial value.

setInput(int, String) - Method in class onnx.Onnx.FunctionProto.Builder

The inputs and outputs of the function.

setInput(int, String) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

setInput(int, String) - Method in class onnx.OnnxMl.FunctionProto.Builder

The inputs and outputs of the function.

setInput(int, String) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

setInput(int, String) - Method in class org.tensorflow.framework.NodeDef.Builder

Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".

setInput(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

setInput(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

The inputs and outputs of the graph.

setInput(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

setInput(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

setInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

setInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the input(s).

setInputArgument(int, INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

setInputArguments(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

setInputArray(int, INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setInputArray(int, INDArray) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method adds INDArray as input argument for future op call

setInputArrays(List<INDArray>) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setInputArrays(List<INDArray>) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method sets provided arrays as input arrays

setInputArrays(INDArray...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setInputArrays(INDArray...) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method sets provided arrays as input arrays

setInputBooleanName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputBooleanName = 11;

setInputCount(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 input_count = 6;

setInputDataTypeName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDataTypeName = 15;

setInputDoubleName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputDoubleName = 9;

setInputFloatName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputFloatName = 7;

setInputFrameworkOpName(String) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string inputFrameworkOpName = 3;

setInputFrameworkOpName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string inputFrameworkOpName = 20;

setInputFrameworkOpNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string inputFrameworkOpName = 3;

setInputFrameworkOpNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string inputFrameworkOpName = 20;

setInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

setInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;

setInputIntName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputIntName = 5;

setInputs(int, EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

setInputs(int, EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;

setInputsForOp(List<String>) - Method in class org.nd4j.autodiff.samediff.internal.Variable

setInputsToOp(List<String>) - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

setInputStringAttrName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputStringAttrName = 3;

setInputTensorName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string inputTensorName = 13;

setInputValue(TensorNamespace.TensorProto) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto inputValue = 8;

setInputValue(TensorNamespace.TensorProto.Builder) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto inputValue = 8;

setInstanceId() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

setInstanceKey(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 instance_key = 7;

setInstanceKey(int) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

int32 instance_key = 1;

setInt32Data(int, int) - Method in class onnx.Onnx.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

setInt32Data(int, int) - Method in class onnx.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

setInt32Data(int, int) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

setInt32Value(int) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

int32 int32Value = 4;

setInt64Data(int, long) - Method in class onnx.Onnx.TensorProto.Builder

For int64.

setInt64Data(int, long) - Method in class onnx.OnnxMl.TensorProto.Builder

For int64.

setInt64Data(int, long) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For int64.

setInt64List(CollectionDef.Int64List) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.Int64List int64_list = 3;

setInt64List(CollectionDef.Int64List.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.Int64List int64_list = 3;

setInt64Val(int, long) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT64

setInt64Value(long) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

int64 int64Value = 5;

setInterOpParallelismThreads(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.

setInterOpThreadPool(int) - Method in class org.tensorflow.framework.RunOptions.Builder

The thread pool to use, if session_inter_op_thread_pool is configured.

setIntraOpParallelismThreads(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.

setInts(int, long) - Method in class onnx.Onnx.AttributeProto.Builder

list of ints

setInts(int, long) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of ints

setIntVal(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

setIrBuildMetadata(String) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The build metadata component of the SemVer of the IR.

setIrBuildMetadataBytes(ByteString) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The build metadata component of the SemVer of the IR.

setIrVersion(long) - Method in class onnx.Onnx.ModelProto.Builder

The version of the IR this model targets.

setIrVersion(long) - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the IR this model targets.

setIrVersion(long) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

All OperatorSetProtos indicate the version of the IR syntax and semantics they adhere to.

setIrVersionPrerelease(String) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The prerelease component of the SemVer of the IR.

setIrVersionPrereleaseBytes(ByteString) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The prerelease component of the SemVer of the IR.

setIsAggregate(boolean) - Method in class org.tensorflow.framework.OpDef.Builder

If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.

setIsArray(boolean) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

bool isArray = 15;

setIsCommutative(boolean) - Method in class org.tensorflow.framework.OpDef.Builder

True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)

setIsDead(boolean) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

True if value is 'dead' like a tensor.

setIsDead(boolean) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

If true, this tensor was the output of a dead node, and the content is invalid.

setIsFinal(boolean) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

If true, the output is permanent: it can't be discarded, because this node is part of the "final output".

setIsLastPartialRun(boolean) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

True if this is the last partial run request in a sequence of requests.

setIsolateSessionState(boolean) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

If true, any resources such as Variables used in the session will not be shared with other sessions.

setIsolateSessionState(boolean) - Method in class org.tensorflow.framework.ConfigProto.Builder

If true, any resources such as Variables used in the session will not be shared with other sessions.

setIsPartial(boolean) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

True if the RunGraphRequest is a partial run request.

setIsRef(boolean) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

For inputs: if true, the inputs are required to be refs.

setIsResource(boolean) - Method in class org.tensorflow.framework.VariableDef.Builder

Whether to represent this as a ResourceVariable.

setIsSource(boolean) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

bool is_source = 11;

setIsStateful(boolean) - Method in class org.tensorflow.framework.OpDef.Builder

Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.

setItemForSequenceAtIndex(String, INDArray, int) - Method in class org.nd4j.autodiff.samediff.SameDiff

Sets the item at the particular index in the sequence to the passed in item.

setJob(int, JobDef) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

setJob(int, JobDef.Builder) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

The jobs that comprise the cluster.

setJobName(String) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The name of the job of which this server is a member.

setJobNameBytes(ByteString) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The name of the job of which this server is a member.

setKeepAliveSecs(long) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Number of seconds to keep the context alive.

setKeepCheckpointEveryNHours(float) - Method in class org.tensorflow.util.SaverDef.Builder

How often to keep an additional checkpoint.

setKernelName(String) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".

setKernelName(String) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".

setKernelNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".

setKernelNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".

setKey(String) - Method in class onnx.Onnx.StringStringEntryProto.Builder

string key = 1;

setKey(String) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string key = 1;

setKey(String) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

string key = 1;

setKey(String) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string key = 1;

setKeyBytes(ByteString) - Method in class onnx.Onnx.StringStringEntryProto.Builder

string key = 1;

setKeyBytes(ByteString) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string key = 1;

setKeyBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

string key = 1;

setKeyBytes(ByteString) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string key = 1;

setKeys(int, String) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

Keys for tensors in the VariantTensorDataProto.

setKeyType(int) - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

setKeyType(int) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

setL1CacheSize(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

L1 cache size in bytes

setL2CacheSize(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

L2 cache size in bytes

setL3CacheSize(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

L3 cache size in bytes

setLabel(String) - Method in class org.tensorflow.framework.KernelDef.Builder

This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.

setLabelBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder

This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.

setLabelNames(List<String>) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Set the label names, for printing via EvaluationBinary.stats()

setLabelNames(List<String>) - Method in class org.nd4j.evaluation.classification.ROCBinary

Set the label names, for printing via ROCBinary.stats()

setLabelNames(List<String>) - Method in interface org.nd4j.linalg.dataset.api.DataSet

setLabelNames(List<String>) - Method in class org.nd4j.linalg.dataset.DataSet

Sets the label names, will throw an exception if the passed in label names doesn't equal the number of outcomes

setLabels(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Set a single labels array (by index) for the MultiDataSet

setLabels(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet

setLabels(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet

setLabels(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet

setLabels(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Set all of the labels arrays for the MultiDataSet

setLabels(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet

setLabelsMaskArray(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Set a single labels mask array by index

setLabelsMaskArray(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet

setLabelsMaskArray(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Set the labels mask array in this data set

setLabelsMaskArray(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet

setLabelsMaskArray(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Set the labels mask arrays

setLabelsMaskArray(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet

setLabelStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

setLabelStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

setLastModified(long) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

The timestamp at which the source code file is last modified.

setLayoutOptimizer(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Optimize tensor layouts (default is ON) e.g.

setLayoutOptimizerValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Optimize tensor layouts (default is ON) e.g.

setLeaksDetector(boolean) - Method in interface org.nd4j.linalg.factory.Environment

Set leaks detection mode

setLegacyJsonMapper(ObjectMapper) - Static method in class org.nd4j.serde.json.LegacyIActivationDeserializer

setLegacyJsonMapper(ObjectMapper) - Static method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer

setLength(long) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

int64 length = 2;

setLengthFrames(long) - Method in class org.tensorflow.framework.Summary.Audio.Builder

Length of the audio in frames (samples per channel).

setLibrary(FunctionDefLibrary) - Method in class org.tensorflow.framework.GraphDef.Builder

EXPERIMENTAL.

setLibrary(FunctionDefLibrary.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder

EXPERIMENTAL.

setLines(int, String) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

Line-by-line content of the source code file.

setLink(int, InterconnectLink) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

setLink(int, InterconnectLink.Builder) - Method in class org.tensorflow.framework.LocalLinks.Builder

repeated .tensorflow.InterconnectLink link = 1;

setLinks(LocalLinks) - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional local interconnect links to other devices.

setLinks(LocalLinks.Builder) - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional local interconnect links to other devices.

setList(AttrValue.ListValue) - Method in class org.tensorflow.framework.AttrValue.Builder

any "list(...)"

setList(AttrValue.ListValue.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder

any "list(...)"

setListeners(Collection<? extends Listener>) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.setListeners(Listener...).

setListeners(Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Set the current SameDiff-wide Listener instances.

setLiveBytes(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

The bytes that are not deallocated.

setLocalDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

setLocalDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes local_device = 1;

setLocality(DeviceLocality) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Platform-specific data about device that may be useful for supporting efficient data transfers.

setLocality(DeviceLocality.Builder) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Platform-specific data about device that may be useful for supporting efficient data transfers.

setLocalName(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

A user-provided name for the edge.

setLocalNameBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

A user-provided name for the edge.

setLogDevicePlacement(boolean) - Method in class org.tensorflow.framework.ConfigProto.Builder

Whether device placements should be logged.

setLoopEnterNames(int, String) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for enter tensors.

setLoopExitNames(int, String) - Method in class org.tensorflow.framework.WhileContextDef.Builder

List of names for exit tensors.

setLoopOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Loop optimizations (default is ON).

setLoopOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Loop optimizations (default is ON).

setLossVariables(String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Clear/remove any existing loss variables, and set the loss variables to the specified variable names.
See SameDiff.addLossVariable(String) for more details

setLossVariables(SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.setLossVariables(String...)

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaBelief

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaDelta

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaGrad

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Adam

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaMax

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AMSGrad

setLrAndSchedule(double, ISchedule) - Method in interface org.nd4j.linalg.learning.config.IUpdater

Set the learning rate and schedule.

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Nadam

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Nesterovs

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.NoOp

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.RmsProp

setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Sgd

setMagic(String) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

All OperatorSetProtos start with a distingushed byte sequence to disambiguate protobuf files containing OperatorSets from other content.

setMagicBytes(ByteString) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

All OperatorSetProtos start with a distingushed byte sequence to disambiguate protobuf files containing OperatorSets from other content.

setMappings(int, MapperNamespace.MapperDeclaration) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

setMappings(int, MapperNamespace.MapperDeclaration.Builder) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated .org.nd4j.ir.MapperDeclaration mappings = 1;

setMapType(Onnx.TypeProto.Map) - Method in class onnx.Onnx.TypeProto.Builder

The type of a map.

setMapType(Onnx.TypeProto.Map.Builder) - Method in class onnx.Onnx.TypeProto.Builder

The type of a map.

setMapType(OnnxMl.TypeProto.Map) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a map.

setMapType(OnnxMl.TypeProto.Map.Builder) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a map.

setMaskedValuesToZero(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

setMax(double) - Method in class org.tensorflow.framework.HistogramProto.Builder

double max = 2;

setMaxByteSize(int, int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

repeated int32 max_byte_size = 2;

setMaxDeviceMemory(long) - Method in interface org.nd4j.linalg.factory.Environment

Set the maximum device memory

setMaxFoldedConstantInBytes(long) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.

setMaximumIterationsName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Optional name of the maximum_iterations tensor.

setMaximumIterationsNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Optional name of the maximum_iterations tensor.

setMaxMasterThreads(int) - Method in interface org.nd4j.linalg.factory.Environment

Set the maximum number of master threads for C++ op execution (if applicable)

setMaxPrimaryMemory(long) - Method in interface org.nd4j.linalg.factory.Environment

Set the maximum primary memory

setMaxSpecialMemory(long) - Method in interface org.nd4j.linalg.factory.Environment

Set the maximum special memory

setMaxThreads(int) - Method in interface org.nd4j.linalg.api.blas.Blas

setMaxThreads(int) - Method in interface org.nd4j.linalg.factory.Environment

Set the maximum number of threads for C++ op execution (if applicable)

setMaxToKeep(int) - Method in class org.tensorflow.util.SaverDef.Builder

Maximum number of checkpoints to keep.

setMaybeTypeName(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

For debug-only, the name of the type pointed to by this handle, if available.

setMaybeTypeNameBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

For debug-only, the name of the type pointed to by this handle, if available.

setMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

setMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocatorMemoryUsed memory = 6;

setMemoryLimit(long) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Memory capacity of device in bytes.

setMemoryLimitMb(int, float) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

Per "virtual" device memory limit, in MB.

setMemoryOptimization(RewriterConfig.MemOptType) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures memory optimization passes through the meta-optimizer.

setMemoryOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Configures memory optimization passes through the meta-optimizer.

setMemoryOptimizerTargetNodeNameScope(String) - Method in class org.tensorflow.framework.RewriterConfig.Builder

A node name scope for node names which are valid outputs of recompuations.

setMemoryOptimizerTargetNodeNameScopeBytes(ByteString) - Method in class org.tensorflow.framework.RewriterConfig.Builder

A node name scope for node names which are valid outputs of recompuations.

setMemorySize(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Memory size in bytes

setMemoryStats(MemoryStats) - Method in class org.tensorflow.framework.NodeExecStats.Builder

.tensorflow.MemoryStats memory_stats = 12;

setMemoryStats(MemoryStats.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

.tensorflow.MemoryStats memory_stats = 12;

setMemoryTime(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Analytical estimate of the memory access cost of this node, in microseconds.

setMetadata(ByteString) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Portions of the object that are not Tensors.

setMetadata(RunMetadata) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Returned metadata if requested in the options.

setMetadata(RunMetadata) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

Returned metadata if requested in the options.

setMetadata(RunMetadata.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

Returned metadata if requested in the options.

setMetadata(RunMetadata.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

Returned metadata if requested in the options.

setMetadata(SummaryMetadata) - Method in class org.tensorflow.framework.Summary.Value.Builder

Contains metadata on the summary value such as which plugins may use it.

setMetadata(SummaryMetadata.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder

Contains metadata on the summary value such as which plugins may use it.

setMetadataProps(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

setMetadataProps(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

Named metadata values; keys should be distinct.

setMetadataProps(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

setMetadataProps(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

setMetaGraphs(int, MetaGraphDef) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

setMetaGraphs(int, MetaGraphDef.Builder) - Method in class org.tensorflow.framework.SavedModel.Builder

One or more MetaGraphs.

setMetaGraphVersion(String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User specified Version string.

setMetaGraphVersionBytes(ByteString) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User specified Version string.

setMetaInfoDef(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

setMetaInfoDef(MetaGraphDef.MetaInfoDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;

setMetaOptimizerIterations(RewriterConfig.NumIterationsType) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Controls how many times we run the optimizers in meta optimizer (default is once).

setMetaOptimizerIterationsValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Controls how many times we run the optimizers in meta optimizer (default is once).

setMethodName(String) - Method in class org.tensorflow.framework.SignatureDef.Builder

Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.

setMethodNameBytes(ByteString) - Method in class org.tensorflow.framework.SignatureDef.Builder

Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method.

setMin(double) - Method in class org.tensorflow.framework.HistogramProto.Builder

double min = 1;

setMinConsumer(int) - Method in class org.tensorflow.framework.VersionDef.Builder

Any consumer below this version is not allowed to consume this data.

setMinimum(long) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

int64 minimum = 6;

setModel(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Model (Haswell, K40, ...)

setModelBytes(ByteString) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Model (Haswell, K40, ...)

setModelVersion(long) - Method in class onnx.Onnx.ModelProto.Builder

The version of the graph encoded.

setModelVersion(long) - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the graph encoded.

setName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

repeated string name = 2;

setName(String) - Method in class onnx.Onnx.AttributeProto.Builder

The name field MUST be present for this version of the IR.

setName(String) - Method in class onnx.Onnx.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

setName(String) - Method in class onnx.Onnx.GraphProto.Builder

The name of the graph.

setName(String) - Method in class onnx.Onnx.NodeProto.Builder

An optional identifier for this node in a graph.

setName(String) - Method in class onnx.Onnx.TensorProto.Builder

Optionally, a name for the tensor.

setName(String) - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setName(String) - Method in class onnx.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

setName(String) - Method in class onnx.OnnxMl.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

setName(String) - Method in class onnx.OnnxMl.GraphProto.Builder

The name of the graph.

setName(String) - Method in class onnx.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

setName(String) - Method in class onnx.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

setName(String) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

setName(String) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setName(String) - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

setName(String) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string name = 1;

setName(String) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

string name = 1;

setName(String) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Optionally, a name for the tensor.

setName(String) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setName(String) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string name = 1;

setName(String) - Method in class org.tensorflow.distruntime.JobDef.Builder

The name of this job.

setName(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

string name = 1;

setName(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

string name = 1;

setName(String) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

Name should be either like "CamelCaseName" or "Package.CamelCaseName".

setName(String) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The name of the node.

setName(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Fully specified name of the device within a cluster.

setName(String) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

string name = 1;

setName(String) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

string name = 1;

setName(String) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

string name = 1;

setName(String) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string name = 1;

setName(String) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

Name of an attr from the Op.

setName(String) - Method in class org.tensorflow.framework.NameAttrList.Builder

string name = 1;

setName(String) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

Name of the tensor.

setName(String) - Method in class org.tensorflow.framework.NodeDef.Builder

The name given to this operator.

setName(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Name for the input/output.

setName(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A descriptive name for the argument.

setName(String) - Method in class org.tensorflow.framework.OpDef.Builder

Op names starting with an underscore are reserved for internal use.

setName(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name of this resource.

setName(String) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

string name = 1;

setName(String) - Method in class org.tensorflow.framework.TensorInfo.Builder

For dense `Tensor`s, the name of the tensor in the graph.

setName(String) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

Optional name of the tensor dimension.

setName(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

A name for the Tensor.

setName(String) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

string name = 1;

setName(String) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string name = 2;

setNameBytes(ByteString) - Method in class onnx.Onnx.AttributeProto.Builder

The name field MUST be present for this version of the IR.

setNameBytes(ByteString) - Method in class onnx.Onnx.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

setNameBytes(ByteString) - Method in class onnx.Onnx.GraphProto.Builder

The name of the graph.

setNameBytes(ByteString) - Method in class onnx.Onnx.NodeProto.Builder

An optional identifier for this node in a graph.

setNameBytes(ByteString) - Method in class onnx.Onnx.TensorProto.Builder

Optionally, a name for the tensor.

setNameBytes(ByteString) - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setNameBytes(ByteString) - Method in class onnx.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

setNameBytes(ByteString) - Method in class onnx.OnnxMl.FunctionProto.Builder

The name of the function, similar usage of op_type in OperatorProto.

setNameBytes(ByteString) - Method in class onnx.OnnxMl.GraphProto.Builder

The name of the graph.

setNameBytes(ByteString) - Method in class onnx.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

setNameBytes(ByteString) - Method in class onnx.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

setNameBytes(ByteString) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

setNameBytes(ByteString) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setNameBytes(ByteString) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Optionally, a name for the tensor.

setNameBytes(ByteString) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.tensorflow.distruntime.JobDef.Builder

The name of this job.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

Name should be either like "CamelCaseName" or "Package.CamelCaseName".

setNameBytes(ByteString) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

The name of the node.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

Fully specified name of the device within a cluster.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

Name of an attr from the Op.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.NameAttrList.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

Name of the tensor.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder

The name given to this operator.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Name for the input/output.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

A descriptive name for the argument.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder

Op names starting with an underscore are reserved for internal use.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

Unique name of this resource.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

string name = 1;

setNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorInfo.Builder

For dense `Tensor`s, the name of the tensor in the graph.

setNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

Optional name of the tensor dimension.

setNameBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

A name for the Tensor.

setNameBytes(ByteString) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

string name = 1;

setNameBytes(ByteString) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

string name = 2;

setNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

setNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

setNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder

Contexts contained inside this context (e.g.

setNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Contexts contained inside this context (e.g.

setNewGraphVersion(long) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

The new version number for the extended graph, to be used in the next call to ExtendSession.

setNewNumberOfLabels(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

setNewNumberOfLabels(int) - Method in class org.nd4j.linalg.dataset.DataSet

Clears the outcome matrix setting a new number of labels

setNextStepId(long) - Method in class org.tensorflow.distruntime.StepSequence.Builder

int64 next_step_id = 2;

setNioBuffer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

setNode(int, Onnx.NodeProto) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

setNode(int, Onnx.NodeProto) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

setNode(int, Onnx.NodeProto.Builder) - Method in class onnx.Onnx.FunctionProto.Builder

The nodes in the function.

setNode(int, Onnx.NodeProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

The nodes in the graph, sorted topologically.

setNode(int, OnnxMl.NodeProto) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

setNode(int, OnnxMl.NodeProto) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

setNode(int, OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.FunctionProto.Builder

The nodes in the function.

setNode(int, OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

setNode(int, CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

setNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Builder

repeated .tensorflow.CostGraphDef.Node node = 1;

setNode(int, NodeDef) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

setNode(int, NodeDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder

repeated .tensorflow.NodeDef node = 1;

setNodeDef(int, NodeDef) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

setNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder

By convention, "op" in node_def is resolved by consulting with a user-defined library first.

setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

int32 node_id = 2;

setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 node_id = 2;

setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

int32 node_id = 1;

setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

int32 node_id = 1;

setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

int32 node_id = 1;

setNodeId(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

An index into `CheckpointableObjectGraph.nodes`, indicating the object being referenced.

setNodeInfo(int, GraphTransferNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

setNodeInfo(int, GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInfo node_info = 1;

setNodeInput(int, GraphTransferNodeInput) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

setNodeInput(int, GraphTransferNodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

repeated .tensorflow.GraphTransferNodeInput node_input = 2;

setNodeInputInfo(int, GraphTransferNodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

setNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;

setNodeList(CollectionDef.NodeList) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.NodeList node_list = 1;

setNodeList(CollectionDef.NodeList.Builder) - Method in class org.tensorflow.framework.CollectionDef.Builder

.tensorflow.CollectionDef.NodeList node_list = 1;

setNodeName(String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name of the node to watch.

setNodeName(String) - Method in class org.tensorflow.framework.NodeExecStats.Builder

TODO(tucker): Use some more compact form of node identity than the full string name.

setNodeName(String) - Method in class org.tensorflow.framework.Summary.Value.Builder

This field is deprecated and will not be set.

setNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Name of the node to watch.

setNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.NodeExecStats.Builder

TODO(tucker): Use some more compact form of node identity than the full string name.

setNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Value.Builder

This field is deprecated and will not be set.

setNodeOutputInfo(int, GraphTransferNodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

setNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;

setNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

setNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;

setNodeStats(int, NodeExecStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

setNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

repeated .tensorflow.NodeExecStats node_stats = 2;

setNum(double) - Method in class org.tensorflow.framework.HistogramProto.Builder

double num = 3;

setNumaNode(int) - Method in class org.tensorflow.framework.DeviceLocality.Builder

Optional NUMA locality of device.

setNumberAttr(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "int"

setNumberAttrBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "int"

setNumBytes(long) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Size of value expected, must agree with BufRendezvous entry.

setNumBytes(long) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Byte length of buf_ptr field, if set.

setNumBytes(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Number of bytes in the allocation.

setNumChannels(long) - Method in class org.tensorflow.framework.Summary.Audio.Builder

Number of channels of audio.

setNumCores(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Number of cores

setNumRecordsProduced(long) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

int64 num_records_produced = 3;

setNumRegisters(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Number of registers per core.

setNumReplicas(int) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

int32 num_replicas = 2;

setNumShards(int) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Number of data files in the bundle.

setNumTasks(int) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

number of distinct tasks hosting the devices

setNumThreads(int) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

The number of threads in the pool.

setObsoleteOldStyleHistogram(ByteString) - Method in class org.tensorflow.framework.Summary.Value.Builder

bytes obsolete_old_style_histogram = 3;

setOccasionalGcFrequency(int) - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

setOccasionalGcFrequency(int) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

Sets manual GC invocation frequency.

setOffset(long) - Method in class org.tensorflow.util.BundleEntryProto.Builder

int64 offset = 4;

setOp(int, ApiDef) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

setOp(int, ApiDef.Builder) - Method in class org.tensorflow.framework.ApiDefs.Builder

repeated .tensorflow.ApiDef op = 1;

setOp(int, OpDef) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

setOp(int, OpDef.Builder) - Method in class org.tensorflow.framework.OpList.Builder

repeated .tensorflow.OpDef op = 1;

setOp(String) - Method in class org.tensorflow.framework.KernelDef.Builder

Must match the name of an Op.

setOp(String) - Method in class org.tensorflow.framework.NodeDef.Builder

The operation name.

setOp(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

setOpaqueType(OnnxMl.TypeProto.Opaque) - Method in class onnx.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

setOpaqueType(OnnxMl.TypeProto.Opaque.Builder) - Method in class onnx.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

setOpBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder

Must match the name of an Op.

setOpBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder

The operation name.

setOpDeclarationType(OpNamespace.OpDescriptor.OpDeclarationType) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

.org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;

setOpDeclarationTypeValue(int) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

.org.nd4j.ir.OpDescriptor.OpDeclarationType opDeclarationType = 3;

setOpEndRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 op_end_rel_micros = 4;

setOperation(String) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the operation making the allocation.

setOperation(String) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the operation making the deallocation.

setOperation(EagerServiceOuterClass.Operation) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.Operation operation = 2;

setOperation(EagerServiceOuterClass.Operation.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

.tensorflow.eager.Operation operation = 2;

setOperationBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Name of the operation making the allocation.

setOperationBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Name of the operation making the deallocation.

setOperationTimeoutInMs(long) - Method in class org.tensorflow.framework.ConfigProto.Builder

Global timeout for all blocking operations in this session.

setOperator(int, OnnxOperators.OperatorProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

setOperator(int, OnnxOperators.OperatorProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The operators specified by this operator set.

setOpId(int, long) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

Ids to wait on.

setOpId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

The ID of the operation that produced this tensor.

setOpList(int, OpNamespace.OpDescriptor) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

setOpList(int, OpNamespace.OpDescriptor.Builder) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

repeated .org.nd4j.ir.OpDescriptor opList = 1;

setOpName(String) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string opName = 2;

setOpNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

string opName = 2;

setOpsetImport(int, Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

setOpsetImport(int, Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

setOpsetImport(int, Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

setOpsetImport(int, Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

The OperatorSets this model relies on.

setOpsetImport(int, OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

setOpsetImport(int, OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

setOpsetImport(int, OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated .onnx.OperatorSetIdProto opset_import = 9;

setOpsetImport(int, OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

setOpsetVersion(long) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

The version of the set of operators.

setOpStartRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 op_start_rel_micros = 3;

setOptimizerOptions(OptimizerOptions) - Method in class org.tensorflow.framework.GraphOptions.Builder

Options controlling how graph is optimized.

setOptimizerOptions(OptimizerOptions.Builder) - Method in class org.tensorflow.framework.GraphOptions.Builder

Options controlling how graph is optimized.

setOptimizers(int, String) - Method in class org.tensorflow.framework.RewriterConfig.Builder

If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).

setOptionalType(Onnx.TypeProto.Optional) - Method in class onnx.Onnx.TypeProto.Builder

The type of an optional.

setOptionalType(Onnx.TypeProto.Optional.Builder) - Method in class onnx.Onnx.TypeProto.Builder

The type of an optional.

setOptionalType(OnnxMl.TypeProto.Optional) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of an optional.

setOptionalType(OnnxMl.TypeProto.Optional.Builder) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of an optional.

setOptionBit(long[], ArrayType) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

setOptionBit(long, long) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

setOptionBit(long, DataType) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

setOptionBit(long, ArrayType) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper

setOptions(TraceOpts) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

.tensorflow.TraceOpts options = 1;

setOptions(TraceOpts.Builder) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

.tensorflow.TraceOpts options = 1;

setOptions(CallableOptions) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

Options that define the behavior of the created callable.

setOptions(CallableOptions.Builder) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

Options that define the behavior of the created callable.

setOptions(RunOptions) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Options for the run call.

setOptions(RunOptions.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Options for the run call.

setOptLevel(OptimizerOptions.Level) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

Overall optimization level.

setOptLevelValue(int) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

Overall optimization level.

setOpType(String) - Method in class onnx.Onnx.NodeProto.Builder

The symbolic identifier of the Operator to execute.

setOpType(String) - Method in class onnx.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

setOpType(String) - Method in class onnx.OnnxOperators.OperatorProto.Builder

The name of the operator within a domain.

setOpTypeBytes(ByteString) - Method in class onnx.Onnx.NodeProto.Builder

The symbolic identifier of the Operator to execute.

setOpTypeBytes(ByteString) - Method in class onnx.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

setOpTypeBytes(ByteString) - Method in class onnx.OnnxOperators.OperatorProto.Builder

The name of the operator within a domain.

setOrder(char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

setOrder(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Set the ordering

setOrder(char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Sets the order.

setOrder(char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Sets the order.

setOrder(IntBuffer, char) - Static method in class org.nd4j.linalg.api.shape.Shape

Deprecated.

setOriginalVariableNodeId(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

An index into `CheckpointableObjectGraph.nodes`, indicating the variable object this slot was created for.

setOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

setOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder

repeated .tensorflow.ApiDef.Arg out_arg = 5;

setOutcome(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

setOutcome(int, int) - Method in class org.nd4j.linalg.dataset.DataSet

Sets the outcome of a particular example

setOutput(int, String) - Method in class onnx.Onnx.FunctionProto.Builder

repeated string output = 5;

setOutput(int, String) - Method in class onnx.Onnx.NodeProto.Builder

namespace Value

setOutput(int, String) - Method in class onnx.OnnxMl.FunctionProto.Builder

repeated string output = 5;

setOutput(int, String) - Method in class onnx.OnnxMl.NodeProto.Builder

namespace Value

setOutput(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

setOutput(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

setOutput(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

setOutput(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

setOutput(int, NodeOutput) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

setOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.NodeOutput output = 7;

setOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

setOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder

Description of the output(s).

setOutputArgument(int, INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

setOutputArray(int, INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setOutputArray(int, INDArray) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method adds INDArray as output for future op call

setOutputArrays(List<INDArray>) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setOutputArrays(List<INDArray>) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method sets provided arrays as output arrays

setOutputArrays(INDArray...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setOutputArrays(INDArray...) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method sets provided arrays as output arrays

setOutputBooleanName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputBooleanName = 12;

setOutputCount(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 output_count = 7;

setOutputDataTypeName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDataTypeName = 16;

setOutputDoubleName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputDoubleName = 10;

setOutputFloatName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputFloatName = 8;

setOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

setOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;

setOutputIntName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputIntName = 6;

setOutputNum(int) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

The index into the outputs of the operation that produced this tensor.

setOutputOfOp(String) - Method in class org.nd4j.autodiff.samediff.internal.Variable

setOutputPartitionGraphs(boolean) - Method in class org.tensorflow.framework.RunOptions.Builder

Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.

setOutputPort(int) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

int32 output_port = 2;

setOutputs(String...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.setOutputs(List)

setOutputs(List<String>) - Method in class org.nd4j.autodiff.samediff.SameDiff

Set the outputs of the SameDiff instance.

setOutputSlot(int) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Output slot to watch.

setOutputsOfOp(List<String>) - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

setOutputStringAttrName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputStringAttrName = 4;

setOutputTensorName(int, String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated string outputTensorName = 14;

setOutputValue(TensorNamespace.TensorProto) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto outputValue = 9;

setOutputValue(TensorNamespace.TensorProto.Builder) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

.org.nd4j.ir.TensorProto outputValue = 9;

setPaddingId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 padding_id = 5;

setParallelIterations(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder

The number of iterations allowed to run in parallel.

setPartialRunHandle(String) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.

setPartialRunHandle(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Partial run handle (optional).

setPartialRunHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

The unique handle corresponding to the ongoing partial run call setup by the invocation to PartialRunSetup.

setPartialRunHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Partial run handle (optional).

setPartitionGraph(int, GraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

setPartitionGraph(int, GraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

repeated .tensorflow.GraphDef partition_graph = 4;

setPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

setPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder

Graphs of the partitions executed by executors.

setPeakBytes(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

int64 peak_bytes = 3;

setPerProcessGpuMemoryFraction(double) - Method in class org.tensorflow.framework.GPUOptions.Builder

Fraction of the available GPU memory to allocate for each process.

setPersistentMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Persistent memory used by this node.

setPersistentMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder

int64 persistent_memory_size = 3;

setPersistentTensorAllocIds(int, long) - Method in class org.tensorflow.framework.MemoryStats.Builder

repeated int64 persistent_tensor_alloc_ids = 5;

setPhysicalDeviceDesc(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of the physical device that this device maps to.

setPhysicalDeviceDescBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

String representation of the physical device that this device maps to.

setPivotForBodyName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_body tensor.

setPivotForBodyNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_body tensor.

setPivotForPredName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_pred tensor.

setPivotForPredNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot_for_pred tensor.

setPivotName(String) - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pivot tensor.

setPivotName(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot tensor.

setPivotNameBytes(ByteString) - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pivot tensor.

setPivotNameBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Name of the pivot tensor.

setPlaceholder(String) - Method in class org.tensorflow.framework.AttrValue.Builder

This is a placeholder only used in nodes defined inside a function.

setPlaceholderBytes(ByteString) - Method in class org.tensorflow.framework.AttrValue.Builder

This is a placeholder only used in nodes defined inside a function.

setPlacementPeriod(int) - Method in class org.tensorflow.framework.ConfigProto.Builder

Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).

setPlacePrunedGraph(boolean) - Method in class org.tensorflow.framework.GraphOptions.Builder

Only place the subgraphs that are run, rather than the entire graph.

setPluginData(SummaryMetadata.PluginData) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Data that associates a summary with a certain plugin.

setPluginData(SummaryMetadata.PluginData.Builder) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Data that associates a summary with a certain plugin.

setPluginName(String) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

The name of the plugin this data pertains to.

setPluginNameBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

The name of the plugin this data pertains to.

setPollingActiveDelayUsecs(int) - Method in class org.tensorflow.framework.GPUOptions.Builder

In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.

setPollingInactiveDelayMsecs(int) - Method in class org.tensorflow.framework.GPUOptions.Builder

This field is deprecated and ignored.

setPrecedingNode(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

int32 preceding_node = 1;

setPrecedingPort(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

int32 preceding_port = 2;

setPredName(String) - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pred tensor.

setPredNameBytes(ByteString) - Method in class org.tensorflow.framework.CondContextDef.Builder

Name of the pred tensor.

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

Set a pre processor

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

setPreProcessor(DataSetPreProcessor) - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Set a pre processor

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

Set a pre processor

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

Set a pre processor

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

Set a pre processor

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.ViewIterator

setPreProcessor(MultiDataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

setPreProcessor(MultiDataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

setPreProcessor(MultiDataSetPreProcessor) - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator

Set the preprocessor to be applied to each MultiDataSet, before each MultiDataSet is returned.

setPreProcessor(MultiDataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

setPreProcessor(MultiDataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

Set the preprocessor to be applied to each MultiDataSet, before each MultiDataSet is returned.

setPreviousWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

setPreviousWorkspace(MemoryWorkspace) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

Set the previous workspace, if any
NOTE: this method should only be used if you are fully aware of the consequences of doing so.

setProducer(int) - Method in class org.tensorflow.framework.VersionDef.Builder

The version of the code that produced this data.

setProducerName(String) - Method in class onnx.Onnx.ModelProto.Builder

The name of the framework or tool used to generate this model.

setProducerName(String) - Method in class onnx.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

setProducerNameBytes(ByteString) - Method in class onnx.Onnx.ModelProto.Builder

The name of the framework or tool used to generate this model.

setProducerNameBytes(ByteString) - Method in class onnx.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

setProducerVersion(String) - Method in class onnx.Onnx.ModelProto.Builder

The version of the framework or tool used to generate this model.

setProducerVersion(String) - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

setProducerVersionBytes(ByteString) - Method in class onnx.Onnx.ModelProto.Builder

The version of the framework or tool used to generate this model.

setProducerVersionBytes(ByteString) - Method in class onnx.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

setProfiling(boolean) - Method in interface org.nd4j.linalg.factory.Environment

Set profiling mode

setProfilingConfig(ProfilerConfig) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

setProfilingConfig(ProfilerConfig) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method stores specified configuration.

setProfilingMode(OpExecutioner.ProfilingMode) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

Deprecated.

setProfilingMode(OpExecutioner.ProfilingMode) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Deprecated.

setProperties(Map<String, Object>) - Method in class org.nd4j.linalg.api.blas.params.MMulTranspose

setProperties(DevicePropertiesProtos.DeviceProperties) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

.tensorflow.DeviceProperties properties = 2;

setProperties(DevicePropertiesProtos.DeviceProperties.Builder) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

.tensorflow.DeviceProperties properties = 2;

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.BaseReduceOp

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.custom.Triu

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3D

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.PRelu

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpaceND

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.random.impl.Range

setPropertiesForFunction(Map<String, Object>) - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

setProtocol(String) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The protocol to be used by this server.

setProtocolBytes(ByteString) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The protocol to be used by this server.

setPtr(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder

Address of the allocation.

setPtr(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Address of the allocation.

setQuantizationAnnotation(int, Onnx.TensorAnnotation) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

setQuantizationAnnotation(int, Onnx.TensorAnnotation.Builder) - Method in class onnx.Onnx.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

setQuantizationAnnotation(int, OnnxMl.TensorAnnotation) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

setQuantizationAnnotation(int, OnnxMl.TensorAnnotation.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

setQuantParameterTensorNames(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

setQuantParameterTensorNames(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

setQuantParameterTensorNames(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

setQuantParameterTensorNames(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

setQueue(int, EagerServiceOuterClass.QueueItem) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

setQueue(int, EagerServiceOuterClass.QueueItem.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

repeated .tensorflow.eager.QueueItem queue = 3;

setQueueClosedExceptionTypes(int, Code) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

setQueueClosedExceptionTypesValue(int, int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

A list of exception types considered to signal a safely closed queue if raised during enqueue operations.

setQueueName(String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

Queue name.

setQueueNameBytes(ByteString) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

Queue name.

SetRange - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

SetRange() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

SetRange(SameDiff, SDVariable, boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

SetRange(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

SetRange(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

SetRange(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

setRawData(ByteString) - Method in class onnx.Onnx.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

setRawData(ByteString) - Method in class onnx.OnnxMl.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

setRawData(ByteString) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

setRecordCosts(boolean) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool record_costs = 1;

setRecordPartitionGraphs(boolean) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool record_partition_graphs = 4;

setRecordTimeline(boolean) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool record_timeline = 3;

setRecv(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

setRecv(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.

setRecvKey(int, String) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

repeated string recv_key = 4;

setRefAttrName(String) - Method in class onnx.Onnx.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

setRefAttrName(String) - Method in class onnx.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

setRefAttrNameBytes(ByteString) - Method in class onnx.Onnx.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

setRefAttrNameBytes(ByteString) - Method in class onnx.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

setReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

setReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder

repeated .tensorflow.AllocationDescription referenced_tensor = 11;

setRemapping(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Remapping (default is ON) Remap subgraphs onto more efficient implementations.

setRemappingValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Remapping (default is ON) Remap subgraphs onto more efficient implementations.

setRemoteDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

setRemoteDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

repeated .tensorflow.DeviceAttributes remote_device = 2;

setRemoteGraph(GraphDef) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Definition of remote graph

setRemoteGraph(GraphDef.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Definition of remote graph

setRenameTo(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Change the name used to access this arg in the API from what is used in the GraphDef.

setRenameTo(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Change the name used to access this attr in the API from what is used in the GraphDef.

setRenameToBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

Change the name used to access this arg in the API from what is used in the GraphDef.

setRenameToBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

Change the name used to access this attr in the API from what is used in the GraphDef.

setRendezvousKey(String) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

A key identifying the channel to receive tensors from.

setRendezvousKeyBytes(ByteString) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

A key identifying the channel to receive tensors from.

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.AttributeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.FunctionProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.GraphProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.ModelProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.NodeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.SparseTensorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.StringStringEntryProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TensorAnnotation.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TensorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TensorProto.Segment.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TensorShapeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TrainingInfoProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TypeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TypeProto.Map.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TypeProto.Optional.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.Onnx.ValueInfoProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.AttributeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.FunctionProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.GraphProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.ModelProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.NodeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TensorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TypeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxOperators.OperatorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.JobDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.ServerDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.StepSequence.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AssetFileDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AttrValue.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CallableOptions.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CondContextDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ConfigProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DebugOptions.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GPUOptions.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GradientDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphOptions.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.InterconnectLink.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.KernelDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.LocalLinks.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NodeDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpList.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RewriterConfig.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RPCOptions.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RunMetadata.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RunOptions.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SavedModel.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SignatureDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.StepStats.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorConnection.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorInfo.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ValuesDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.VariableDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.VersionDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.WhileContextDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.util.BundleEntryProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.util.SaverDef.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

setReportTensorAllocationsUponOom(boolean) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

bool report_tensor_allocations_upon_oom = 5;

setReportTensorAllocationsUponOom(boolean) - Method in class org.tensorflow.framework.RunOptions.Builder

When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).

setRequestedBytes(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder

Total number of bytes requested

setRequestId(long) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Unique identifier for this request.

setResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

setResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_RESOURCE

setRestoreOpName(String) - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when restoring a model checkpoint.

setRestoreOpNameBytes(ByteString) - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when restoring a model checkpoint.

setRewriteOptions(RewriterConfig) - Method in class org.tensorflow.framework.GraphOptions.Builder

Options that control the type and amount of graph rewriting.

setRewriteOptions(RewriterConfig.Builder) - Method in class org.tensorflow.framework.GraphOptions.Builder

Options that control the type and amount of graph rewriting.

setRngStates(long, long) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method sets root-level seed for rng

setRootDir(File) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

setRpcOptions(RPCOptions) - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply when this session uses the distributed runtime.

setRpcOptions(RPCOptions.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder

Options that apply when this session uses the distributed runtime.

setRule(int, MapperNamespace.MappingRule) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

setRule(int, MapperNamespace.MappingRule.Builder) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

the rules to apply for attributes

setRuleName(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleName = 1;

setRuleNameBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleName = 1;

setRuleType(String) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleType = 18;

setRuleTypeBytes(ByteString) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

string ruleType = 18;

setRunOptions(RunOptions) - Method in class org.tensorflow.framework.CallableOptions.Builder

Options that will be applied to each run.

setRunOptions(RunOptions.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder

Options that will be applied to each run.

setS(int, ByteString) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(string)"

setS(ByteString) - Method in class onnx.Onnx.AttributeProto.Builder

UTF-8 string

setS(ByteString) - Method in class onnx.OnnxMl.AttributeProto.Builder

UTF-8 string

setS(ByteString) - Method in class org.tensorflow.framework.AttrValue.Builder

"string"

setSampleRate(float) - Method in class org.tensorflow.framework.Summary.Audio.Builder

Sample rate of the audio in Hz.

setSavedModelSchemaVersion(long) - Method in class org.tensorflow.framework.SavedModel.Builder

The schema version of the SavedModel instance.

setSaverDef(SaverDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

SaverDef.

setSaverDef(SaverDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

SaverDef.

setSaveSliceInfoDef(SaveSliceInfoDef) - Method in class org.tensorflow.framework.VariableDef.Builder

Support for saving variables as slices of a larger variable.

setSaveSliceInfoDef(SaveSliceInfoDef.Builder) - Method in class org.tensorflow.framework.VariableDef.Builder

Support for saving variables as slices of a larger variable.

setSaveTensorName(String) - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when saving a model checkpoint.

setSaveTensorNameBytes(ByteString) - Method in class org.tensorflow.util.SaverDef.Builder

The operation to run when saving a model checkpoint.

setScalar(Number) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

setScalar(Number) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

setScalar(Number) - Method in interface org.nd4j.linalg.api.ops.ScalarOp

This method allows to set scalar

setScalar(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

setScalar(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

setScalar(INDArray) - Method in interface org.nd4j.linalg.api.ops.ScalarOp

setScheduledMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder

int64 scheduled_micros = 9;

setScomplexVal(int, float) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_COMPLEX64.

setScopedAllocatorOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).

setScopedAllocatorOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).

setScopedAllocatorOpts(ScopedAllocatorOptions) - Method in class org.tensorflow.framework.RewriterConfig.Builder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

setScopedAllocatorOpts(ScopedAllocatorOptions.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

setScopedOutFor(T) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

setScopedOutFor(T) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Set arrays to be scoped out (not in any workspace) for the specified array type.

setSecondPointers(GridPointers) - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

setSecondPointers(GridPointers) - Method in interface org.nd4j.linalg.api.ops.MetaOp

setSeed(int) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

setSeed(int) - Method in interface org.nd4j.linalg.api.rng.Random

Sets the seed of the underlying random number generator using an int seed.

setSeed(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

setSeed(int[]) - Method in interface org.nd4j.linalg.api.rng.Random

Sets the seed of the underlying random number generator using an int seed.

setSeed(long) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

setSeed(long) - Method in interface org.nd4j.linalg.api.rng.Random

Sets the seed of the underlying random number generator using a long seed.

setSegment(Onnx.TensorProto.Segment) - Method in class onnx.Onnx.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

setSegment(Onnx.TensorProto.Segment.Builder) - Method in class onnx.Onnx.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

setSegment(OnnxMl.TensorProto.Segment) - Method in class onnx.OnnxMl.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

setSegment(OnnxMl.TensorProto.Segment.Builder) - Method in class onnx.OnnxMl.TensorProto.Builder

.onnx.TensorProto.Segment segment = 3;

setSegment(TensorNamespace.TensorProto.Segment) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

.org.nd4j.ir.TensorProto.Segment segment = 3;

setSegment(TensorNamespace.TensorProto.Segment.Builder) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

.org.nd4j.ir.TensorProto.Segment segment = 3;

setSend(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

setSend(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

Runs the graph.

setSendStartMicros(long) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, for timeline.

setSendStartMicros(long) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The time at which tensor was available and started to be returned.

setSequenceType(Onnx.TypeProto.Sequence) - Method in class onnx.Onnx.TypeProto.Builder

The type of a sequence.

setSequenceType(Onnx.TypeProto.Sequence.Builder) - Method in class onnx.Onnx.TypeProto.Builder

The type of a sequence.

setSequenceType(OnnxMl.TypeProto.Sequence) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a sequence.

setSequenceType(OnnxMl.TypeProto.Sequence.Builder) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a sequence.

setSerializedExecutorParameters(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

Optional: Parameters given to the executor

setServerDef(ServerDef) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Defines the configuration of a TensorFlow worker.

setServerDef(ServerDef) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Identifies the full cluster, and this particular worker's position within.

setServerDef(ServerDef.Builder) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Defines the configuration of a TensorFlow worker.

setServerDef(ServerDef.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

Identifies the full cluster, and this particular worker's position within.

setServerLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on server-side device locality.

setServerLocality(DeviceLocality) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on server-side device locality.

setServerLocality(DeviceLocality.Builder) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional information on server-side device locality.

setServerLocality(DeviceLocality.Builder) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information on server-side device locality.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

The session handle to be used in subsequent calls for the created session.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Sessions are identified by a given handle.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

Sessions are identified by a given handle.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

The session_handle used when registering the graph.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

Optional: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Subgraphs are scoped within one session.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

session_handle is the master-generated unique id for this session.

setSessionHandle(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

The session handle to be used in subsequent calls for the created session.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

Sessions are identified by a given handle.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

Sessions are identified by a given handle.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

The session_handle used when registering the graph.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

Optional: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

Subgraphs are scoped within one session.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

session_handle is the master-generated unique id for this session.

setSessionHandleBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

REQUIRED: session_handle must be returned by a CreateSession call to the same master service.

setSessionInterOpThreadPool(int, ThreadPoolOptionProto) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

setSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder

This option is experimental - it may be replaced with a different mechanism in the future.

setShape(int, long) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

repeated int64 shape = 3;

setShape(int, long) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

repeated int64 shape = 2;

setShape(int, long) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

repeated int64 shape = 2;

setShape(int, TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

setShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(shape)"

setShape(long...) - Method in class org.nd4j.autodiff.samediff.SDVariable

setShape(String[], SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Sets an inplace shape on the passed in input.

setShape(Onnx.TensorShapeProto) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

setShape(Onnx.TensorShapeProto) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

setShape(Onnx.TensorShapeProto.Builder) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

setShape(Onnx.TensorShapeProto.Builder) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

setShape(OnnxMl.TensorShapeProto) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

setShape(OnnxMl.TensorShapeProto) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

setShape(OnnxMl.TensorShapeProto.Builder) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

.onnx.TensorShapeProto shape = 2;

setShape(OnnxMl.TensorShapeProto.Builder) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

.onnx.TensorShapeProto shape = 2;

setShape(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Sets an inplace shape on the passed in input.

setShape(TensorNamespace.TensorShapeProto) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

.org.nd4j.ir.TensorShapeProto shape = 2;

setShape(TensorNamespace.TensorShapeProto.Builder) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

.org.nd4j.ir.TensorShapeProto shape = 2;

setShape(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Sets an inplace shape on the passed in input.

setShape(TensorShapeProto) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.TensorShapeProto shape = 4;

setShape(TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.Builder

"shape"

setShape(TensorShapeProto) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.TensorShapeProto shape = 3;

setShape(TensorShapeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.TensorShapeProto shape = 2;

setShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorDescription.Builder

Shape of the tensor.

setShape(TensorShapeProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder

.tensorflow.TensorShapeProto shape = 2;

setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

.tensorflow.TensorShapeProto shape = 4;

setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder

"shape"

setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

.tensorflow.TensorShapeProto shape = 3;

setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

.tensorflow.TensorShapeProto shape = 2;

setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.TensorDescription.Builder

Shape of the tensor.

setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder

.tensorflow.TensorShapeProto shape = 2;

SetShape - Class in org.nd4j.linalg.api.ops.impl.shape

Returns the shape of the input array.

SetShape() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SetShape

SetShape(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SetShape

SetShape(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SetShape

SetShape(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SetShape

SetShape(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SetShape

setShapeAndStride(int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

setShapeAndStride(int[], int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Shape and stride setter

setShapeOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Shape optimizations (default is ON) Simplify computations made on shapes.

setShapeOptimizationValue(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder

Shape optimizations (default is ON) Simplify computations made on shapes.

setSharded(boolean) - Method in class org.tensorflow.util.SaverDef.Builder

Shard the save files, one per device that has Variable nodes.

setShardId(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder

The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).

setSharedMemorySizePerMultiprocessor(long) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Shared memory size per multiprocessor in bytes.

setSignature(OpDef) - Method in class org.tensorflow.framework.FunctionDef.Builder

The definition of the function's name, arguments, return values, attrs etc.

setSignature(OpDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder

The definition of the function's name, arguments, return values, attrs etc.

setSimpleValue(float) - Method in class org.tensorflow.framework.Summary.Value.Builder

float simple_value = 2;

setSinceVersion(long) - Method in class onnx.OnnxOperators.OperatorProto.Builder

The version of the operator set that first introduced this operator.

setSize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

int64 size = 1;

setSize(long) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

Size of the tensor in that dimension.

setSize(long) - Method in class org.tensorflow.util.BundleEntryProto.Builder

int64 size = 5;

setSlices(int, TensorSliceProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

setSlices(int, TensorSliceProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder

Iff present, this entry represents a partitioned tensor.

setSlot(int) - Method in class org.tensorflow.framework.NodeOutput.Builder

int32 slot = 1;

setSlotName(String) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

The name of the slot (e.g.

setSlotNameBytes(ByteString) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

The name of the slot (e.g.

setSlotVariableNodeId(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

An index into `CheckpointableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.

setSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

setSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

Slot variables owned by this object.

setSnapshotName(String) - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the snapshot tensor.

setSnapshotNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the snapshot tensor.

setSocOpId(int) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

int32 soc_op_id = 4;

setSourceFiles(int, DebuggedSourceFile) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

setSourceFiles(int, DebuggedSourceFile.Builder) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

A collection of source code files.

setSourceRank(int) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

int32 source_rank = 2;

setSparseInitializer(int, Onnx.SparseTensorProto) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

setSparseInitializer(int, Onnx.SparseTensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

Initializers (see above) stored in sparse format.

setSparseInitializer(int, OnnxMl.SparseTensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

setSparseInitializer(int, OnnxMl.SparseTensorProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

setSparseTensor(Onnx.SparseTensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

sparse tensor value

setSparseTensor(Onnx.SparseTensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

sparse tensor value

setSparseTensor(OnnxMl.SparseTensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

sparse tensor value

setSparseTensor(OnnxMl.SparseTensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

sparse tensor value

setSparseTensors(int, Onnx.SparseTensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

setSparseTensors(int, Onnx.SparseTensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of sparse tensors

setSparseTensors(int, OnnxMl.SparseTensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

setSparseTensors(int, OnnxMl.SparseTensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of sparse tensors

setSparseTensorType(Onnx.TypeProto.SparseTensor) - Method in class onnx.Onnx.TypeProto.Builder

Type of the sparse tensor

setSparseTensorType(Onnx.TypeProto.SparseTensor.Builder) - Method in class onnx.Onnx.TypeProto.Builder

Type of the sparse tensor

setSparseTensorType(OnnxMl.TypeProto.SparseTensor) - Method in class onnx.OnnxMl.TypeProto.Builder

Type of the sparse tensor

setSparseTensorType(OnnxMl.TypeProto.SparseTensor.Builder) - Method in class onnx.OnnxMl.TypeProto.Builder

Type of the sparse tensor

setSrcDevice(String) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, for annotating the timeline.

setSrcDeviceBytes(ByteString) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, for annotating the timeline.

setStart(long) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

Start index of the slice, starting at 0.

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.AdaBeliefUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.AdaMaxUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.AdamUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.AMSGradUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.NadamUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.NesterovsUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.RmsPropUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.AdaDeltaUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.AdaGradUpdater

setState(Map<String, INDArray>, boolean) - Method in interface org.nd4j.linalg.learning.GradientUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.NoOpUpdater

setState(Map<String, INDArray>, boolean) - Method in class org.nd4j.linalg.learning.SgdUpdater

setStates(long, long) - Method in class org.nd4j.linalg.api.rng.DefaultRandom

setStates(long, long) - Method in interface org.nd4j.linalg.api.rng.Random

setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaBeliefUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaDeltaUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaGradUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaMaxUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AdamUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.AMSGradUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in interface org.nd4j.linalg.learning.GradientUpdater

For the internal updater state (if any): set this to use the provided array.

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.NadamUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.NesterovsUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.NoOpUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.RmsPropUpdater

setStateViewArray(INDArray, long[], char, boolean) - Method in class org.nd4j.linalg.learning.SgdUpdater

setStatus(Onnx.OperatorStatus) - Method in class onnx.OnnxOperators.OperatorProto.Builder

This field indicates whether the syntax, semantics, or presence of this operator is in an experimental or stable stage.

setStatusCode(Code) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

setStatusCode(Code) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

setStatusCodeValue(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

setStatusCodeValue(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

If store_errors_in_response_body is true in the request, then optionally the server may return an OK status for the RPC and fill the true status into the fields below, to allow for messages that are too long to fit in metadata.

setStatusErrorMessage(String) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

string status_error_message = 6;

setStatusErrorMessage(String) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

string status_error_message = 4;

setStatusErrorMessageBytes(ByteString) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

string status_error_message = 6;

setStatusErrorMessageBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

string status_error_message = 4;

setStatusValue(int) - Method in class onnx.OnnxOperators.OperatorProto.Builder

This field indicates whether the syntax, semantics, or presence of this operator is in an experimental or stable stage.

setStep(int, LabeledStepStats) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

setStep(int, LabeledStepStats.Builder) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

repeated .tensorflow.LabeledStepStats step = 1;

setStepId(long) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

int64 step_id = 1;

setStepId(long) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

int64 step_id = 1;

setStepId(long) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Used at server side to find the correct BufRendezvous.

setStepId(long) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

The step in which the tensor will be produced.

setStepId(long) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

A unique ID to distinguish different runs of the same graph.

setStepId(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

Process-unique step id.

setStepId(long) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

Process-unique step id.

setStepId(long) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

Process-unique step id.

setStepId(long) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Process-unique step id.

setStepId(long) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Process-unique step id.

setStepSequence(int, StepSequence) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

setStepSequence(int, StepSequence.Builder) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

repeated .tensorflow.StepSequence step_sequence = 1;

setStepStats(StepStats) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

.tensorflow.StepStats step_stats = 2;

setStepStats(StepStats) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

setStepStats(StepStats) - Method in class org.tensorflow.framework.RunMetadata.Builder

Statistics traced for this step.

setStepStats(StepStats.Builder) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

.tensorflow.StepStats step_stats = 2;

setStepStats(StepStats.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

If the request asked for execution stats, the cost graph, or the partition graphs, these are returned here.

setStepStats(StepStats.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder

Statistics traced for this step.

setStoreErrorsInResponseBody(boolean) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunGraphResponse with the actual error saved in the status_code/status_error_message fields of the response body.

setStoreErrorsInResponseBody(boolean) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

If true then some errors, e.g., execution errors that have long error messages, may return an OK RunStepResponse with the actual error saved in the status_code/status_error_message fields of the response body.

setStrength(int) - Method in class org.tensorflow.framework.InterconnectLink.Builder

int32 strength = 3;

setStringData(int, ByteString) - Method in class onnx.Onnx.TensorProto.Builder

For strings.

setStringData(int, ByteString) - Method in class onnx.OnnxMl.TensorProto.Builder

For strings.

setStringData(int, ByteString) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For strings.

setStrings(int, ByteString) - Method in class onnx.Onnx.AttributeProto.Builder

list of UTF-8 strings

setStrings(int, ByteString) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

setStringVal(int, ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_STRING

setStringValue(String) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string stringValue = 12;

setStringValueBytes(ByteString) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

string stringValue = 12;

setStrippedDefaultAttrs(boolean) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.

setStrippedOpList(OpList) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A copy of the OpDefs used by the producer of this graph_def.

setStrippedOpList(OpList.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

A copy of the OpDefs used by the producer of this graph_def.

setSubdivOffset(int, int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

repeated int32 subdiv_offset = 9;

setSum(double) - Method in class org.tensorflow.framework.HistogramProto.Builder

double sum = 4;

setSummary(String) - Method in class org.tensorflow.framework.ApiDef.Builder

One-line human-readable description of what the Op does.

setSummary(String) - Method in class org.tensorflow.framework.OpDef.Builder

One-line human-readable description of what the Op does.

setSummaryBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder

One-line human-readable description of what the Op does.

setSummaryBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder

One-line human-readable description of what the Op does.

setSummaryDescription(String) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Longform readable description of the summary sequence.

setSummaryDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

Longform readable description of the summary sequence.

setSumSquares(double) - Method in class org.tensorflow.framework.HistogramProto.Builder

double sum_squares = 5;

setSwapMemory(boolean) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Whether GPU-CPU memory swap is enabled for this loop.

setT(Onnx.TensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

tensor value

setT(Onnx.TensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

tensor value

setT(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

tensor value

setT(OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

tensor value

setTadThreshold(int) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

This method allows to set desired number of sub-arrays per thread, for performance optimization purposes.

setTadThreshold(int) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method allows to set desired number of sub-arrays per thread, for performance optimization purposes.

setTadThreshold(int) - Method in interface org.nd4j.linalg.factory.Environment

Set the TAD (tensor along dimension) threshold for ops

setTag(String) - Method in class org.tensorflow.framework.Summary.Value.Builder

Tag name for the data.

setTagBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Value.Builder

Tag name for the data.

setTags(int, String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

User supplied tag(s) on the meta_graph and included graph_def.

setTarget(int, String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

Target Nodes.

setTarget(int, String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

Target Nodes.

setTarget(int, String) - Method in class org.tensorflow.framework.CallableOptions.Builder

Target Nodes.

setTarget(String) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The target string used from the client's perspective.

setTargetBytes(ByteString) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

The target string used from the client's perspective.

setTArguments(double...) - Method in class org.nd4j.linalg.api.ops.BaseOpContext

setTArguments(double...) - Method in interface org.nd4j.linalg.api.ops.OpContext

This method sets floating point arguments required for operation

setTaskIndex(int) - Method in class org.tensorflow.distruntime.ServerDef.Builder

The task index of this server in its job.

setTaskName(int, String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

task name prefixes of device_names

setTempMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder

int64 temp_memory_size = 1;

setTemporaryMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

Temporary memory used by this node.

setTensor(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

setTensor(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.

setTensor(int, TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

setTensor(int, TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(tensor)"

setTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Allocated tensor details.

setTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Output tensor details.

setTensor(TensorDescription.Builder) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

Allocated tensor details.

setTensor(TensorDescription.Builder) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

Output tensor details.

setTensor(TensorProto) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The tensor as a proto.

setTensor(TensorProto) - Method in class org.tensorflow.framework.AttrValue.Builder

"tensor"

setTensor(TensorProto) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

setTensor(TensorProto) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.TensorProto tensor = 8;

setTensor(TensorProto.Builder) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

The tensor as a proto.

setTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder

"tensor"

setTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.

setTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder

.tensorflow.TensorProto tensor = 8;

setTensorConnection(int, TensorConnection) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

setTensorConnection(int, TensorConnection.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder

Tensors to be connected in the callable.

setTensorContent(ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder

Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.

setTensorContent(ByteString) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

bytes tensor_content = 1;

setTensorDescription(TensorDescription) - Method in class org.tensorflow.framework.NodeOutput.Builder

.tensorflow.TensorDescription tensor_description = 3;

setTensorDescription(TensorDescription.Builder) - Method in class org.tensorflow.framework.NodeOutput.Builder

.tensorflow.TensorDescription tensor_description = 3;

setTensorflowGitVersion(String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __git_version__ string of the tensorflow build used to write this graph.

setTensorflowGitVersionBytes(ByteString) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __git_version__ string of the tensorflow build used to write this graph.

setTensorflowVersion(String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __version__ string of the tensorflow build used to write this graph.

setTensorflowVersionBytes(ByteString) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

The __version__ string of the tensorflow build used to write this graph.

setTensorInfo(TensorInfo) - Method in class org.tensorflow.framework.AssetFileDef.Builder

The tensor to bind the asset filename to.

setTensorInfo(TensorInfo.Builder) - Method in class org.tensorflow.framework.AssetFileDef.Builder

The tensor to bind the asset filename to.

setTensorName(String) - Method in class onnx.Onnx.TensorAnnotation.Builder

string tensor_name = 1;

setTensorName(String) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

string tensor_name = 1;

setTensorNameBytes(ByteString) - Method in class onnx.Onnx.TensorAnnotation.Builder

string tensor_name = 1;

setTensorNameBytes(ByteString) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

string tensor_name = 1;

setTensors(int, Onnx.TensorProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

setTensors(int, Onnx.TensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of tensors

setTensors(int, OnnxMl.TensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

setTensors(int, OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of tensors

setTensors(int, TensorProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

setTensors(int, TensorProto.Builder) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Tensors contained within objects being serialized.

setTensorShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorInfo.Builder

The static shape should be recorded here, to the extent that it can be known in advance.

setTensorShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorProto.Builder

Shape of the tensor.

setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.TensorInfo.Builder

The static shape should be recorded here, to the extent that it can be known in advance.

setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder

Shape of the tensor.

setTensorType(Onnx.TypeProto.Tensor) - Method in class onnx.Onnx.TypeProto.Builder

The type of a tensor.

setTensorType(Onnx.TypeProto.Tensor.Builder) - Method in class onnx.Onnx.TypeProto.Builder

The type of a tensor.

setTensorType(OnnxMl.TypeProto.Tensor) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a tensor.

setTensorType(OnnxMl.TypeProto.Tensor.Builder) - Method in class onnx.OnnxMl.TypeProto.Builder

The type of a tensor.

setTensorType(TensorNamespace.TypeProto.TensorDescriptor) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

The type of a tensor.

setTensorType(TensorNamespace.TypeProto.TensorDescriptor.Builder) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

The type of a tensor.

setTest(DataSet) - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain

setThreadId(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder

uint32 thread_id = 10;

setTimelineLabel(String) - Method in class org.tensorflow.framework.NodeExecStats.Builder

string timeline_label = 8;

setTimelineLabelBytes(ByteString) - Method in class org.tensorflow.framework.NodeExecStats.Builder

string timeline_label = 8;

setTimelineStep(int) - Method in class org.tensorflow.framework.GraphOptions.Builder

If > 0, record a timeline every this many steps.

setTimeoutInMs(long) - Method in class org.tensorflow.framework.RunOptions.Builder

Time to wait for operation to complete in milliseconds.

setTolerateDebugOpCreationFailures(boolean) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

Do not error out if debug op creation fails (e.g., due to dtype incompatibility).

setTopLevelDir(File) - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

setTopLevelDir(File) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

setTopLevelDir(File) - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

For file download datasets this sets a top level directory outside the default

setTotalBytes(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

These are per-node allocator memory stats.

setToTensor(String) - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

setToTensorBytes(ByteString) - Method in class org.tensorflow.framework.TensorConnection.Builder

A tensor name.

setTp(Onnx.TypeProto) - Method in class onnx.Onnx.AttributeProto.Builder

Do not use field below, it's deprecated.

setTp(Onnx.TypeProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

Do not use field below, it's deprecated.

setTp(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

Do not use field below, it's deprecated.

setTp(OnnxMl.TypeProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

Do not use field below, it's deprecated.

setTraceLevel(RunOptions.TraceLevel) - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.TraceLevel trace_level = 1;

setTraceLevelValue(int) - Method in class org.tensorflow.framework.RunOptions.Builder

.tensorflow.RunOptions.TraceLevel trace_level = 1;

setTrain(DataSet) - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain

setTrainable(boolean) - Method in class org.tensorflow.framework.VariableDef.Builder

Whether this variable should be trained.

setTrainingConfig(TrainingConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff

Set the training configuration (TrainingConfig) for the SameDiff instance.

setTrainingInfo(int, Onnx.TrainingInfoProto) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

setTrainingInfo(int, Onnx.TrainingInfoProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder

Training-specific information.

setTrainingInfo(int, OnnxMl.TrainingInfoProto) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

setTrainingInfo(int, OnnxMl.TrainingInfoProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder

Training-specific information.

setTransformerArgs(int, MapperNamespace.TransformerArgs) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

setTransformerArgs(int, MapperNamespace.TransformerArgs.Builder) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

repeated .org.nd4j.ir.TransformerArgs transformerArgs = 19;

setTransformerArgs(int, OpNamespace.ArgDescriptor) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

setTransformerArgs(int, OpNamespace.ArgDescriptor.Builder) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

repeated .org.nd4j.ir.ArgDescriptor transformerArgs = 2;

setTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, implementation-specific data.

setTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, implementation-specific data.

setTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information needed by the RPC subsystem.

setTransportOptions(Any) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

Optional additional information about how to receive the tensor, e.g.

setTransportOptions(Any.Builder) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

Optional, implementation-specific data.

setTransportOptions(Any.Builder) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

Optional, implementation-specific data.

setTransportOptions(Any.Builder) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

Optional information needed by the RPC subsystem.

setTransportOptions(Any.Builder) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

Optional additional information about how to receive the tensor, e.g.

setType(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

int32 type = 2;

setType(int, DataType) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

setType(String) - Method in class org.tensorflow.framework.InterconnectLink.Builder

string type = 2;

setType(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).

setType(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Device type (CPU, GPU, ...)

setType(Onnx.AttributeProto.AttributeType) - Method in class onnx.Onnx.AttributeProto.Builder

The type field MUST be present for this version of the IR.

setType(Onnx.TypeProto) - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

setType(Onnx.TypeProto.Builder) - Method in class onnx.Onnx.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

setType(OnnxMl.AttributeProto.AttributeType) - Method in class onnx.OnnxMl.AttributeProto.Builder

The type field MUST be present for this version of the IR.

setType(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

setType(OnnxMl.TypeProto.Builder) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

setType(TensorNamespace.TypeProto) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setType(TensorNamespace.TypeProto.Builder) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setType(DataType) - Method in class org.tensorflow.framework.AttrValue.Builder

"type"

setType(DataType) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Describes the type of one or more tensors that are accepted/produced by this input/output arg.

setTypeAttr(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "type"

setTypeAttrBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

if specified, attr must have type "type"

setTypeBytes(ByteString) - Method in class org.tensorflow.framework.InterconnectLink.Builder

string type = 2;

setTypeBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).

setTypeBytes(ByteString) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Device type (CPU, GPU, ...)

setTypeHint(String) - Method in class org.tensorflow.framework.SummaryDescription.Builder

Hint on how plugins should process the data in this series.

setTypeHintBytes(ByteString) - Method in class org.tensorflow.framework.SummaryDescription.Builder

Hint on how plugins should process the data in this series.

setTypeListAttr(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.

setTypeListAttrBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.

setTypeName(String) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string type_name = 3;

setTypeName(String) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Name of the type of objects being serialized.

setTypeNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

string type_name = 3;

setTypeNameBytes(ByteString) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

Name of the type of objects being serialized.

setTypeProtos(int, Onnx.TypeProto) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

setTypeProtos(int, Onnx.TypeProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder

list of type protos

setTypeProtos(int, OnnxMl.TypeProto) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

setTypeProtos(int, OnnxMl.TypeProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder

list of type protos

setTypeValue(int) - Method in class onnx.Onnx.AttributeProto.Builder

The type field MUST be present for this version of the IR.

setTypeValue(int) - Method in class onnx.OnnxMl.AttributeProto.Builder

The type field MUST be present for this version of the IR.

setTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.Builder

"type"

setTypeValue(int) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

Describes the type of one or more tensors that are accepted/produced by this input/output arg.

setTypeValue(int, int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

"list(type)"

setUint32Val(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT32

setUint64Data(int, long) - Method in class onnx.Onnx.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

setUint64Data(int, long) - Method in class onnx.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

setUint64Data(int, long) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

setUint64Val(int, long) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_UINT64

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.AttributeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.FunctionProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.GraphProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.ModelProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.NodeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.SparseTensorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.StringStringEntryProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorAnnotation.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorProto.Segment.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorShapeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TrainingInfoProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Map.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Optional.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Sequence.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.SparseTensor.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.TypeProto.Tensor.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.Onnx.ValueInfoProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.AttributeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.FunctionProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.GraphProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.ModelProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.NodeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorAnnotation.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorShapeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Opaque.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Optional.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.SparseTensor.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMl.ValueInfoProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperators.OperatorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.MapperNamespace.MappingRule.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ClusterDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.JobDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ResetRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ResetResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.ServerDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.StepSequence.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.TracingRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.distruntime.TracingResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationDescription.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationRecord.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDefs.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AssetFileDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CallableOptions.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CondContextDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ConfigProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebugOptions.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceAttributes.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceLocality.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceStepStats.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GPUOptions.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GradientDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphOptions.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.HistogramProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.InterconnectLink.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.LocalLinks.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogStep.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryStats.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MetaGraphDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NameAttrList.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NamedTensorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeExecStats.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeOutput.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDeprecation.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpList.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OptimizerOptions.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RewriterConfig.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RPCOptions.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RunMetadata.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RunOptions.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SavedModel.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SignatureDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.StepStats.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Audio.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Image.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Value.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryDescription.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorConnection.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorDescription.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorInfo.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ValuesDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariableDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VersionDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.WhileContextDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.BundleEntryProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.SaverDef.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder

setUnknownFields(UnknownFieldSet) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder

setUnknownRank(boolean) - Method in class org.tensorflow.framework.TensorShapeProto.Builder

If true, the number of dimensions in the shape is unknown.

setUpdateBinding(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

setUpdateBinding(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

setUpdateBinding(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

setUpdateBinding(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

setupFunction(X) - Method in class org.nd4j.autodiff.samediff.SameDiff

Attempts to insert the DifferentialFunction reference in to this SameDiff instance.

setUseExtendedProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture extended profiling events from TensorFlow process.

setUseGpuProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture GPU profiling events locally on each machine.

setUseKernelProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture kernel events from each worker.

setUsePerSessionThreads(boolean) - Method in class org.tensorflow.framework.ConfigProto.Builder

If true, use a new set of threads for this session rather than the global pool of threads.

setUseRpcForInprocessMaster(boolean) - Method in class org.tensorflow.framework.RPCOptions.Builder

If true, always use RPC to contact the session target.

setUseSampleProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, collect sampled profile events.

setUseStepProfiler(boolean) - Method in class org.tensorflow.distruntime.TraceOpts.Builder

If true, capture step profile locally in each worker.

setUseUnifiedMemory(boolean) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

If true, uses CUDA unified memory for memory allocations.

setValue(int, float) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder

repeated float value = 1 [packed = true];

setValue(int, long) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder

repeated int64 value = 1 [packed = true];

setValue(int, String) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder

repeated string value = 1;

setValue(int, Any) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

setValue(int, Any.Builder) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder

repeated .google.protobuf.Any value = 1;

setValue(int, ByteString) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder

repeated bytes value = 1;

setValue(int, Summary.Value) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

setValue(int, Summary.Value.Builder) - Method in class org.tensorflow.framework.Summary.Builder

Set of values for the summary.

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsoluteEquals

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.BaseCondition

setValue(Number) - Method in interface org.nd4j.linalg.indexing.conditions.Condition

Allows overriding of the value.

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThan

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual

setValue(Number) - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition

setValue(String) - Method in class onnx.Onnx.StringStringEntryProto.Builder

string value = 2;

setValue(String) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string value = 2;

setValue(String) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string value = 2;

setValueBytes(ByteString) - Method in class onnx.Onnx.StringStringEntryProto.Builder

string value = 2;

setValueBytes(ByteString) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder

string value = 2;

setValueBytes(ByteString) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder

string value = 2;

setValueFor(Field, Object) - Method in class org.nd4j.autodiff.functions.DifferentialFunction

Set the value for this function.

setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig

Set the value for this function.

setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

setValueInfo(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

setValueInfo(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder

Information for the values in the graph.

setValueInfo(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

setValueInfo(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder

Information for the values in the graph.

setValues(int, String) - Method in class org.tensorflow.framework.ValuesDef.Builder

Value names that have been seen in this context.

setValues(Onnx.TensorProto) - Method in class onnx.Onnx.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

setValues(Onnx.TensorProto.Builder) - Method in class onnx.Onnx.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

setValues(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

setValues(OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

setValuesDef(ValuesDef) - Method in class org.tensorflow.framework.CondContextDef.Builder

Values and external values in control flow context.

setValuesDef(ValuesDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Values and external values in control flow context.

setValuesDef(ValuesDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder

Values and external values in control flow context.

setValuesDef(ValuesDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder

Values and external values in control flow context.

setValuesTensorName(String) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The shape of the values Tensor is [?].

setValuesTensorNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder

The shape of the values Tensor is [?].

setValueType(Onnx.TypeProto) - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

setValueType(Onnx.TypeProto.Builder) - Method in class onnx.Onnx.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

setValueType(OnnxMl.TypeProto) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

setValueType(OnnxMl.TypeProto.Builder) - Method in class onnx.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

setVarControlDeps(List<String>) - Method in class org.nd4j.autodiff.samediff.internal.SameDiffOp

setVariableName(String) - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the variable tensor.

setVariableNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder

Name of the variable tensor.

setVariableResolutionType(MapperNamespace.VariableResolutionType) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

.org.nd4j.ir.VariableResolutionType variableResolutionType = 6;

setVariableResolutionTypeValue(int) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration.Builder

.org.nd4j.ir.VariableResolutionType variableResolutionType = 6;

setVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

setVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder

DT_VARIANT

setVarName(String) - Method in class org.nd4j.autodiff.samediff.SDVariable

setVarOffset(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Offset of this variable into the full variable.

setVarShape(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder

Shape of this variable.

setVendor(String) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Vendor (Intel, nvidia, ...)

setVendorBytes(ByteString) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder

Vendor (Intel, nvidia, ...)

setVerbose(boolean) - Method in interface org.nd4j.linalg.factory.Environment

Set verbose mode

setVersion(int) - Method in class org.tensorflow.framework.GraphDef.Builder

Deprecated.

tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=24

setVersion(int) - Method in class org.tensorflow.framework.OpDeprecation.Builder

First GraphDef version at which the op is disallowed.

setVersion(long) - Method in class onnx.Onnx.OperatorSetIdProto.Builder

The version of the operator set being identified.

setVersion(long) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder

The version of the operator set being identified.

setVersion(String) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

A user-specified version string.

setVersion(VersionDef) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Versioning of the tensor bundle format.

setVersion(VersionDef.Builder) - Method in class org.tensorflow.util.BundleHeaderProto.Builder

Versioning of the tensor bundle format.

setVersion(SaverDef.CheckpointFormatVersion) - Method in class org.tensorflow.util.SaverDef.Builder

.tensorflow.SaverDef.CheckpointFormatVersion version = 7;

setVersionBytes(ByteString) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder

A user-specified version string.

setVersionDef(VersionDef) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

This is the version for all the ops that will be enqueued by the client.

setVersionDef(VersionDef.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder

This is the version for all the ops that will be enqueued by the client.

setVersionNumber(int) - Method in class org.tensorflow.framework.TensorProto.Builder

Version number.

setVersions(VersionDef) - Method in class org.tensorflow.framework.GraphDef.Builder

Compatibility versions of the graph.

setVersions(VersionDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder

Compatibility versions of the graph.

setVersionValue(int) - Method in class org.tensorflow.util.SaverDef.Builder

.tensorflow.SaverDef.CheckpointFormatVersion version = 7;

setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder

The multi virtual device settings.

setVisibility(ApiDef.Visibility) - Method in class org.tensorflow.framework.ApiDef.Builder

.tensorflow.ApiDef.Visibility visibility = 2;

setVisibilityValue(int) - Method in class org.tensorflow.framework.ApiDef.Builder

.tensorflow.ApiDef.Visibility visibility = 2;

setVisibleDeviceList(String) - Method in class org.tensorflow.framework.GPUOptions.Builder

A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

setVisibleDeviceListBytes(ByteString) - Method in class org.tensorflow.framework.GPUOptions.Builder

A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

setWhileCtxt(WhileContextDef) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.WhileContextDef while_ctxt = 2;

setWhileCtxt(WhileContextDef.Builder) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder

.tensorflow.WhileContextDef while_ctxt = 2;

setWidth(int) - Method in class org.tensorflow.framework.Summary.Image.Builder

int32 width = 2;

setWorkFinished(long) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

int64 work_finished = 2;

setWorkspace(T, String, WorkspaceConfiguration) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

setWorkspace(T, String, WorkspaceConfiguration) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Seth the workspace name and configuration for the specified array type

setWorkspaceForCurrentThread(MemoryWorkspace, String) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

setWorkspaceForCurrentThread(MemoryWorkspace) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method allows you to set given Workspace as default for current Thread

setWorkspaceForCurrentThread(MemoryWorkspace) - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

setWorkspaceForCurrentThread(MemoryWorkspace, String) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager

This method allows you to set given Workspace for spacific Id for current Thread

setWorkspaceName(T, String) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

setWorkspaceName(T, String) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Set the workspace name for the specified array type

setWorkStarted(long) - Method in class org.tensorflow.framework.ReaderBaseState.Builder

int64 work_started = 1;

setX(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp

setX(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op

set x (the input ndarray)

setX(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

setX(INDArray, Op, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

setY(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp

setY(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op

set y(the pairwise ndarray)

setY(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

setY(INDArray, Op, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp

setZ(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op

set z (the solution ndarray)

setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

setZ(INDArray, Op, OpContext) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

sgbmv(char, char, int, int, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

Sgd - Class in org.nd4j.linalg.learning.config

SGD updater applies a learning rate only

Sgd() - Constructor for class org.nd4j.linalg.learning.config.Sgd

Sgd(double) - Constructor for class org.nd4j.linalg.learning.config.Sgd

Sgd(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Sgd

Sgd.Builder - Class in org.nd4j.linalg.learning.config

SgdUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters

SgdUpdater - Class in org.nd4j.linalg.learning

SGD updater applies a learning rate only

SgdUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.SgdUpdater

SgdUpdater(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.SgdUpdater

SgdUpdater(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.SgdUpdater

SgdUpdater(Sgd) - Constructor for class org.nd4j.linalg.learning.SgdUpdater

sgemm(char, char, char, int, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

sgemv(char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

sgeqrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

Float/Double versions of QR decomp.

sger(char, int, int, float, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

sgesvd(byte, byte, int, int, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

sgetrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

Float/Double versions of LU decomp.

shannonEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

shannonEntropy(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns Shannon entropy value for this INDArray along specified dimension(s)

shannonEntropy(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Shannon Entropy reduction: -sum(x * log2(x))

shannonEntropy(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Shannon Entropy reduction: -sum(x * log2(x))

ShannonEntropy - Class in org.nd4j.linalg.api.ops.impl.reduce.floating

ShannonEntropy() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

ShannonEntropy(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

shannonEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

shannonEntropyNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns non-normalized Shannon entropy value for this INDArray

shape - Variable in class org.nd4j.autodiff.samediff.SDVariable

shape - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo

shape - Variable in class org.nd4j.linalg.api.ops.random.BaseRandomOp

shape - Variable in class org.nd4j.linalg.learning.AdaGradUpdater

shape - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad

shape() - Method in class org.nd4j.autodiff.samediff.SDVariable

Get the shape of the array as a dynamic SDVariable

shape() - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

shape() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BaseTensorMapper

shape() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

shape() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the shape of this ndarray

shape(int) - Method in class org.nd4j.graph.FlatArray

shape(int) - Method in class org.nd4j.graph.FlatProperties

shape(int) - Method in class org.nd4j.graph.FlatVariable

shape(int) - Method in class org.nd4j.graph.UIVariable

shape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Get array shape from an int[]

shape(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices

Calculate the shape for the given set of indices and offsets.

shape(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

shape(long[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices

shape(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns the shape of the specified INDArray as a 1D INDArray

shape(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get array shape from the buffer, as an int[]

shape(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

shape(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns the shape of the specified INDArray as a 1D INDArray

shape(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get array shape from the buffer, as an int[]

shape(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Returns the shape of the ndarray

shape(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns the shape of the specified INDArray as a 1D INDArray

shape(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices

Calculate the shape for the given set of indices.

Shape - Class in org.nd4j.linalg.api.ops.impl.shape

Returns the shape of the input array.

Shape - Class in org.nd4j.linalg.api.shape

Shape() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape

Shape(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape

Shape(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape

Shape(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape

Shape(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape

SHAPE - org.tensorflow.framework.AttrValue.ValueCase

SHAPE - Static variable in class org.nd4j.graph.OpType

SHAPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto.SparseTensor

SHAPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto.Tensor

SHAPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.SparseTensor

SHAPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.Tensor

SHAPE_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferConstNodeInfo

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorDescription

SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto

SHAPE_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig

shapeAsByteBuffer() - Method in class org.nd4j.graph.FlatArray

shapeAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties

shapeAsByteBuffer() - Method in class org.nd4j.graph.FlatVariable

shapeAsByteBuffer() - Method in class org.nd4j.graph.UIVariable

shapeDescriptor() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns shape descriptor of this ndarray

ShapeDescriptor - Class in org.nd4j.linalg.api.shape

ShapeDescriptor(int[], int[], long, int, char, long) - Constructor for class org.nd4j.linalg.api.shape.ShapeDescriptor

shapeEquals(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns whether 2 shapes are equals by checking for dimension semantics as well as array equality

shapeEquals(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns whether 2 shapes are equals by checking for dimension semantics as well as array equality

shapeEqualWithSqueeze(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Return true if the shapes are equal after removing any size 1 dimensions For example, [1,3,4] and [3,4] are considered equal by this method.

ShapeFunctionOptimizations - Class in org.nd4j.autodiff.samediff.optimize.optimizations

ShapeFunctionOptimizations() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.ShapeFunctionOptimizations

ShapeFunctionOptimizations.FuseChainedConcatOps - Class in org.nd4j.autodiff.samediff.optimize.optimizations

Fuse [concat(concat(concat(x,y,dim=D), z, dim=D), a, dim=D)] into a single concat op, concat(x,y,z,a, dim=D) As long as the intermediate outputs aren't needed elsewhere

ShapeFunctionOptimizations.FuseChainedPermutes - Class in org.nd4j.autodiff.samediff.optimize.optimizations

Fuse [permute1 -> permute2 -> ...

ShapeFunctionOptimizations.FuseChainedReshapes - Class in org.nd4j.autodiff.samediff.optimize.optimizations

Fuse [reshape1 -> reshape2 -> ...

shapeFunctionOverride(boolean) - Method in interface org.nd4j.linalg.api.ops.OpContext

This methos allows to disape outputs validation via shape function

shapeInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatArray

shapeInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatProperties

shapeInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatVariable

shapeInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIVariable

shapeInfo() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

shapeInfo() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Shape info

shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

shapeInfoDataBuffer() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Shape info

shapeInfoJava() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

shapeInfoJava() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns shapeInformation as jvm long array

shapeInfoLength(long) - Static method in class org.nd4j.linalg.api.shape.Shape

Return the shape info length given the rank

shapeInfoLength(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

ShapeInfoProvider - Interface in org.nd4j.linalg.api.ndarray

shapeInformation - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

shapeInfoToString() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

shapeInfoToString() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the shape information debugging information

shapeIsScalar(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if this shape is scalar

shapeIsScalar(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

shapeLength() - Method in class org.nd4j.graph.FlatArray

shapeLength() - Method in class org.nd4j.graph.FlatProperties

shapeLength() - Method in class org.nd4j.graph.FlatVariable

shapeLength() - Method in class org.nd4j.graph.UIVariable

shapeMatchesPlaceholder(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Determine whether the placeholder shape and the specified shape are compatible.
Shapes are compatible if:
(a) They are both the same length (same array rank, or null)
(b) At each position either phShape[i] == -1 or phShape[i] == arrShape[i]

ShapeN - Class in org.nd4j.linalg.api.ops.impl.shape

ShapeN() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ShapeN

ShapeN(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ShapeN

shapeOf() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

shapeOf(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

shapeOf(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

shapeOf(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the shape from the given int buffer

shapeOf(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

shapeOf(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the shape from the given int buffer

shapes - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

SHAPES_ONLY - org.nd4j.autodiff.listeners.debugging.ExecDebuggingListener.PrintMode

shapeToString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Prints the shape for this shape information

shapeToString(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

shapeToString(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

Prints the shape for this shape information

shapeToStringShort(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

shapeVector() - Method in class org.nd4j.graph.FlatArray

shapeVector() - Method in class org.nd4j.graph.FlatProperties

shapeVector() - Method in class org.nd4j.graph.FlatVariable

shapeVector() - Method in class org.nd4j.graph.UIVariable

shapeVector(IntVector) - Method in class org.nd4j.graph.FlatProperties

shapeVector(LongVector) - Method in class org.nd4j.graph.FlatArray

shapeVector(LongVector) - Method in class org.nd4j.graph.FlatVariable

shapeVector(LongVector) - Method in class org.nd4j.graph.UIVariable

SHARD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto

SHARDED_FIELD_NUMBER - Static variable in class org.tensorflow.util.SaverDef

SHARED_MEMORY_SIZE_PER_MULTIPROCESSOR_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

sharedAxes - Variable in class org.nd4j.linalg.api.ops.impl.scalar.PRelu

sharedAxes - Variable in class org.nd4j.linalg.api.ops.impl.transforms.gradient.PReluBp

ShiftBits - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

ShiftBits() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ShiftBits

ShiftBits(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ShiftBits

ShiftBits(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ShiftBits

ShiftBits(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ShiftBits

SHORT - org.nd4j.linalg.api.buffer.DataType

Deprecated.

Replaced by DataType.INT16, use that instead

shouldWork - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

shouldWork - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

showDataSet(int, String, DataSet, int, int, int, int) - Method in class org.nd4j.linalg.util.DataSetUtils

showDataSet
public void showDataSet( int mtLv, String itemCode, DataSet ds,
int in_Digits, int ot_Digits, int r_End_I, int c_End_I )
Shows content of DataSet.

showINDArray(int, String, INDArray, int, int, int) - Method in class org.nd4j.linalg.util.DataSetUtils

showINDArray
public void showINDArray( int mtLv, String itemCode, INDArray INDA,
int digits, int r_End_I, int c_End_I )
Shows content of INDArray.
Shows first rows and than columns.

showINDArray(int, String, INDArray, int, int, int, boolean) - Method in class org.nd4j.linalg.util.DataSetUtils

showINDArray
public void showINDArray( int mtLv, String itemCode, INDArray INDA,
int digits, int r_End_I, int c_End_I, boolean turned )
Shows content of INDArray.
If turned is false shows first rows and than columns.
If turned is true shows first columns and than rows.

shuffle() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Shuffle the order of the rows in the DataSet.

shuffle() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Shuffle the order of the examples in the MultiDataSet.

shuffle() - Method in class org.nd4j.linalg.dataset.DataSet

shuffle() - Method in class org.nd4j.linalg.dataset.MultiDataSet

shuffle(long) - Method in class org.nd4j.linalg.dataset.DataSet

Shuffles the dataset in place, given a seed for a random number generator.

shuffle(Collection<INDArray>, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Symmetric in place shuffle of an ndarray along a specified set of dimensions

shuffle(Collection<INDArray>, Random, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Symmetric in place shuffle of an ndarray along a specified set of dimensions

shuffle(Collection<INDArray>, Random, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Symmetric in place shuffle of an ndarray along a specified set of dimensions.

shuffle(List<INDArray>, Random, List<int[]>) - Static method in class org.nd4j.linalg.factory.Nd4j

Symmetric in place shuffle of an ndarray along a variable dimensions

shuffle(List<INDArray>, Random, List<int[]>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Symmetric in place shuffle of an ndarray along a specified set of dimensions.

shuffle(INDArray, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

In place shuffle of an ndarray along a specified set of dimensions

shuffle(INDArray, Random, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

In place shuffle of an ndarray along a specified set of dimensions

shuffle(INDArray, Random, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

In place shuffle of an ndarray along a specified set of dimensions

shutdown() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator.AsyncPrefetchThread

shutdown() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

This method will terminate background thread AND will destroy attached workspace (if any) PLEASE NOTE: After shutdown() call, this instance can't be used anymore

shutdown() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator.AsyncPrefetchThread

shutdown() - Method in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

This method will terminate background thread AND will destroy attached workspace (if any) PLEASE NOTE: After shutdown() call, this instance can't be used anymore

sigmoid(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise sigmoid function: out[i] = 1.0/(1+exp(-in[i]))

sigmoid(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise sigmoid function: out[i] = 1.0/(1+exp(-in[i]))

sigmoid(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise sigmoid function: out[i] = 1.0/(1+exp(-in[i]))

sigmoid(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sigmoid function

sigmoid(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sigmoid function

Sigmoid - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Sigmoid() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

Sigmoid(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

Sigmoid(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

Sigmoid(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

Sigmoid(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

SIGMOID - org.nd4j.enums.CellAct

SIGMOID - org.nd4j.enums.GateAct

SIGMOID - org.nd4j.enums.OutAct

SIGMOID - org.nd4j.linalg.activations.Activation

SIGMOID - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

SIGMOID_UNIFORM - org.nd4j.weightinit.WeightInit

sigmoidCrossEntropy(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Sigmoid cross entropy: applies the sigmoid activation function on the input logits (input "pre-sigmoid preductions")
and implements the binary cross entropy loss function.

sigmoidCrossEntropy(String, SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Sigmoid cross entropy: applies the sigmoid activation function on the input logits (input "pre-sigmoid preductions")
and implements the binary cross entropy loss function.

sigmoidCrossEntropy(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Sigmoid cross entropy: applies the sigmoid activation function on the input logits (input "pre-sigmoid preductions")
and implements the binary cross entropy loss function.

sigmoidCrossEntropy(SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Sigmoid cross entropy: applies the sigmoid activation function on the input logits (input "pre-sigmoid preductions")
and implements the binary cross entropy loss function.

sigmoidCrossEntropy(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Sigmoid cross entropy: applies the sigmoid activation function on the input logits (input "pre-sigmoid preductions")
and implements the binary cross entropy loss function.

sigmoidCrossEntropy(INDArray, INDArray, INDArray, LossReduce, double) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Sigmoid cross entropy: applies the sigmoid activation function on the input logits (input "pre-sigmoid preductions")
and implements the binary cross entropy loss function.

SigmoidCrossEntropyLoss - Class in org.nd4j.linalg.api.ops.impl.loss

SigmoidCrossEntropyLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss

SigmoidCrossEntropyLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss

SigmoidCrossEntropyLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss

SigmoidCrossEntropyLoss(INDArray, INDArray, INDArray, LossReduce, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss

SigmoidCrossEntropyLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

SigmoidCrossEntropyLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.SigmoidCrossEntropyLossBp

sigmoidDerivative(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise sigmoid function derivative: dL/dIn given input and dL/dOut

sigmoidDerivative(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise sigmoid function derivative: dL/dIn given input and dL/dOut

sigmoidDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sigmoid function

sigmoidDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sigmoid function

sigmoidDerivative(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise sigmoid function derivative: dL/dIn given input and dL/dOut

SigmoidDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

SigmoidDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Deprecated.

SigmoidDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative

SigmoidDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

SigmoidDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative

SigmoidDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

SigmoidDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative

SigmoidDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

SigmoidDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

SigmoidDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

SigmoidDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

SigmoidDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative

SigmoidSchedule - Class in org.nd4j.linalg.schedule

SigmoidSchedule(ScheduleType, double, double, int) - Constructor for class org.nd4j.linalg.schedule.SigmoidSchedule

SigmoidUniformInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: range = 4.0 * Math.sqrt(6.0 / (fanIn + fanOut)) U(-range,range)

SigmoidUniformInitScheme(char, double, double) - Constructor for class org.nd4j.weightinit.impl.SigmoidUniformInitScheme

sign(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise sign (signum) function:
out = -1 if in < 0
out = 0 if in = 0
out = 1 if in > 0

sign(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise sign (signum) function:
out = -1 if in < 0
out = 0 if in = 0
out = 1 if in > 0

sign(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise sign (signum) function:
out = -1 if in < 0
out = 0 if in = 0
out = 1 if in > 0

sign(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Signum function of this ndarray

sign(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Signum function of this ndarray

Sign - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Sign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

Sign(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

Sign(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

Sign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

Sign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

SIGNATURE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef

SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDef

SignatureDef - Class in org.tensorflow.framework

SignatureDef defines the signature of a computation supported by a TensorFlow graph.

SignatureDef.Builder - Class in org.tensorflow.framework

SignatureDef defines the signature of a computation supported by a TensorFlow graph.

SignatureDefOrBuilder - Interface in org.tensorflow.framework

SIMPLE_VALUE - org.tensorflow.framework.Summary.Value.ValueCase

SIMPLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value

sin(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise sine operation: out = sin(x)

sin(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise sine operation: out = sin(x)

sin(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise sine operation: out = sin(x)

sin(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sin function

sin(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sin function

Sin - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Sin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

Sin(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

Sin(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

Sin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

Sin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

SINCE_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorProto

SINGLE_ITER_PRINT - org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.Mode

SingleGenerator() - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SingleGenerator

SingleThreadArrayHolder - Class in org.nd4j.autodiff.samediff.array

SingleThreadArrayHolder() - Constructor for class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder

SingletonDataSetIterator - Class in org.nd4j.linalg.dataset.adapter

SingletonDataSetIterator(DataSet) - Constructor for class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

SingletonMultiDataSetIterator - Class in org.nd4j.linalg.dataset.adapter

SingletonMultiDataSetIterator(MultiDataSet) - Constructor for class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator

sinh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise sinh (hyperbolic sine) operation: out = sinh(x)

sinh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise sinh (hyperbolic sine) operation: out = sinh(x)

sinh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise sinh (hyperbolic sine) operation: out = sinh(x)

sinh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sinh function

sinh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sinh function

Sinh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Sinh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

Sinh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

Sinh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

Sinh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

Sinh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

size - Variable in class org.nd4j.list.BaseNDArrayList

size() - Method in class org.nd4j.autodiff.execution.input.Operands

This method returns number of values in this entity

size() - Method in class org.nd4j.autodiff.samediff.array.OptimizedGraphArrayHolder

size() - Method in class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder

size() - Method in class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder

size() - Method in interface org.nd4j.autodiff.samediff.ArrayHolder

size() - Method in interface org.nd4j.linalg.compression.AbstractStorage

This method returns number of entries available in storage

size() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor

size() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet

size() - Method in class org.nd4j.list.BaseNDArrayList

size() - Method in class org.nd4j.list.NDArrayList

size(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

size(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the size along a specified dimension

size(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

size(long[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

size(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns the size (number of elements, i.e., prod(shape)) of the specified INDArray as a 0D scalar variable

size(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the size of the specified dimension.

size(LongBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape

size(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns the size (number of elements, i.e., prod(shape)) of the specified INDArray as a 0D scalar variable

size(SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

size(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the size of the specified dimension.

size(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns the size (number of elements, i.e., prod(shape)) of the specified INDArray as a 0D scalar variable

Size - Class in org.nd4j.linalg.api.ops.impl.shape

Size() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Size

Size(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Size

Size(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Size

SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorShapeProto.Dim

SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto

sizeAt(long[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

sizeAt(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a rank 0 (scalar) variable for the size of the specified dimension.
For example, if X has shape [10,20,30] then sizeAt(X,1)=20.

sizeAt(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns a rank 0 (scalar) variable for the size of the specified dimension.
For example, if X has shape [10,20,30] then sizeAt(X,1)=20.

sizeAt(INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns a rank 0 (scalar) variable for the size of the specified dimension.
For example, if X has shape [10,20,30] then sizeAt(X,1)=20.

SizeAt - Class in org.nd4j.linalg.api.ops.impl.shape

SizeAt() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SizeAt

SizeAt(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SizeAt

SizeAt(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SizeAt

SizeAt(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SizeAt

sizeForAxes(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Output an int array for a particular dimension

sizeOfDataType() - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

Use DataType.width()

sizeOfDataType(DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns size of element for specified dataType, in bytes

sizeOfTensorArray(SameDiff, SDVariable) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Create an empty sequence with the specified data type.

sizeOfTensorArray(SameDiff, SDVariable, String) - Static method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Create an empty sequence with the specified data type.

SizeThresholdIntArrayIntIndexAdapter - Class in org.nd4j.imports.descriptors.properties.adapters

SizeThresholdIntArrayIntIndexAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.SizeThresholdIntArrayIntIndexAdapter

sizeUnsafe(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

sizeUnsafe(long[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

sizeUnsafe(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the size of the specified dimension.

SKIP - org.tensorflow.framework.ApiDef.Visibility

Do not include this op in the generated API.

SKIP_VALUE - Static variable in enum org.tensorflow.framework.ApiDef.Visibility

Do not include this op in the generated API.

skipBuilderValidation(boolean) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

SkipGramRound - Class in org.nd4j.linalg.api.ops.impl.nlp

SkipGramRound() - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.SkipGramRound

SkipGramRound(int, int, INDArray, INDArray, INDArray, INDArray, int, double, long, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.SkipGramRound

sg ns round

SkipGramRound(int, INDArray, INDArray, INDArray, int[], byte[], double, long, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.SkipGramRound

sg hs round

SkipGramRound(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, int, INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.nlp.SkipGramRound

full constructor

skipOp(NODE_TYPE, SameDiff, Map<String, ATTR_TYPE>, GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.OpImportFilter

If true: the op should be skipped for import, and its output variables should not be created.

sLength() - Method in class org.nd4j.graph.FlatProperties

slice(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

slice(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the specified slice of this ndarray

slice(long, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

slice(long, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the slice of this from the specified dimension

slice(String, SDVariable, int[], int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element and the size of the array.
For example, if input is:
[a, b, c]
[d, e, f]
then slice(input, begin=[0,1], size=[2,1] will return:
[b]
[e]
Note that for each dimension i, begin[i] + size[i] <= input.size(i)

slice(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element and the size of the array.
For example, if input is:
[a, b, c]
[d, e, f]
then slice(input, begin=[0,1], size=[2,1] will return:
[b]
[e]
Note that for each dimension i, begin[i] + size[i] <= input.size(i)

slice(SDVariable, int[], int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element and the size of the array.
For example, if input is:
[a, b, c]
[d, e, f]
then slice(input, begin=[0,1], size=[2,1] will return:
[b]
[e]
Note that for each dimension i, begin[i] + size[i] <= input.size(i)

slice(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element and the size of the array.
For example, if input is:
[a, b, c]
[d, e, f]
then slice(input, begin=[0,1], size=[2,1] will return:
[b]
[e]
Note that for each dimension i, begin[i] + size[i] <= input.size(i)

slice(INDArray, int[], int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Get a subset of the specified input, by specifying the first element and the size of the array.
For example, if input is:
[a, b, c]
[d, e, f]
then slice(input, begin=[0,1], size=[2,1] will return:
[b]
[e]
Note that for each dimension i, begin[i] + size[i] <= input.size(i)

slice(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Get a subset of the specified input, by specifying the first element and the size of the array.
For example, if input is:
[a, b, c]
[d, e, f]
then slice(input, begin=[0,1], size=[2,1] will return:
[b]
[e]
Note that for each dimension i, begin[i] + size[i] <= input.size(i)

Slice - Class in org.nd4j.linalg.api.ops.impl.shape

Slice() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice

Slice(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice

Slice(SameDiff, SDVariable, @lombok.NonNull int[], @lombok.NonNull int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice

Slice(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice

Slice(INDArray, int[], int...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice

SliceBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp

SliceBp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp

SliceBp(SameDiff, SDVariable, SDVariable, @lombok.NonNull int[], @lombok.NonNull int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp

SliceBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp

sliceEnd(SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.samediff.SDVariable

sliceOffsetForTensor(int, INDArray, int[]) - Static method in class org.nd4j.linalg.util.NDArrayMath

calculates the offset for a tensor

sliceOffsetForTensor(int, INDArray, long[]) - Static method in class org.nd4j.linalg.util.NDArrayMath

slices() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

slices() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the number of slices in this ndarray

SLICES_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleEntryProto

sliceVectors(List<INDArray>) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sliceVectors(List<INDArray>) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Flattens the array for linear indexing in list.

SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeOutput

SLOT_NAME_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

SLOT_VARIABLE_NODE_ID_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

SLOT_VARIABLES_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

SNAPSHOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef

snrm2(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

SOC_OP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInfo

softmax(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Softmax activation, along the specified dimension

softmax(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Softmax activation, along the specified dimension

softmax(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Softmax activation, along the specified dimension

softmax(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Softmax activation, along the specified dimension

softmax(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Softmax activation, along the specified dimension

softmax(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

softmax(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

softmax(INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDNN

Softmax activation, along the specified dimension

SoftMax - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

SoftMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SoftMax(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SoftMax(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SoftMax(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SoftMax(SameDiff, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SoftMax(SameDiff, SDVariable[], int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SoftMax(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SoftMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SoftMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SoftMax(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

SOFTMAX - org.nd4j.linalg.activations.Activation

SoftmaxBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

SoftmaxBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp

SoftmaxBp(INDArray, INDArray, Integer) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp

SoftmaxBp(INDArray, INDArray, INDArray, Integer) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp

SoftmaxBp(SameDiff, SDVariable, SDVariable, Integer) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp

softmaxClipEps - Variable in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

softmaxCrossEntropy(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Applies the softmax activation function to the input, then implement multi-class cross entropy:
-sum_classes label[i] * log(p[c]) where p = softmax(logits)
If LossReduce#NONE is used, returned shape is [numExamples] out for [numExamples, numClasses] predicitons/labels;
otherwise, the output is a scalar.

softmaxCrossEntropy(String, SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Applies the softmax activation function to the input, then implement multi-class cross entropy:
-sum_classes label[i] * log(p[c]) where p = softmax(logits)
If LossReduce#NONE is used, returned shape is [numExamples] out for [numExamples, numClasses] predicitons/labels;
otherwise, the output is a scalar.

softmaxCrossEntropy(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Applies the softmax activation function to the input, then implement multi-class cross entropy:
-sum_classes label[i] * log(p[c]) where p = softmax(logits)
If LossReduce#NONE is used, returned shape is [numExamples] out for [numExamples, numClasses] predicitons/labels;
otherwise, the output is a scalar.

softmaxCrossEntropy(SDVariable, SDVariable, SDVariable, LossReduce, double) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

Applies the softmax activation function to the input, then implement multi-class cross entropy:
-sum_classes label[i] * log(p[c]) where p = softmax(logits)
If LossReduce#NONE is used, returned shape is [numExamples] out for [numExamples, numClasses] predicitons/labels;
otherwise, the output is a scalar.

softmaxCrossEntropy(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Applies the softmax activation function to the input, then implement multi-class cross entropy:
-sum_classes label[i] * log(p[c]) where p = softmax(logits)
If LossReduce#NONE is used, returned shape is [numExamples] out for [numExamples, numClasses] predicitons/labels;
otherwise, the output is a scalar.

softmaxCrossEntropy(INDArray, INDArray, INDArray, LossReduce, double) - Method in class org.nd4j.linalg.factory.ops.NDLoss

Applies the softmax activation function to the input, then implement multi-class cross entropy:
-sum_classes label[i] * log(p[c]) where p = softmax(logits)
If LossReduce#NONE is used, returned shape is [numExamples] out for [numExamples, numClasses] predicitons/labels;
otherwise, the output is a scalar.

SoftmaxCrossEntropyLoss - Class in org.nd4j.linalg.api.ops.impl.loss

SoftmaxCrossEntropyLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

SoftmaxCrossEntropyLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

SoftmaxCrossEntropyLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

SoftmaxCrossEntropyLoss(INDArray, INDArray, INDArray, LossReduce, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

SoftmaxCrossEntropyLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

SoftmaxCrossEntropyLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyLossBp

SoftmaxCrossEntropyWithLogitsLoss - Class in org.nd4j.linalg.api.ops.impl.loss

SoftmaxCrossEntropyWithLogitsLoss(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss

SoftmaxCrossEntropyWithLogitsLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

SoftmaxCrossEntropyWithLogitsLossBp(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyWithLogitsLossBp

softmaxDerivative(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Softmax derivative function

softmaxDerivative(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Softmax derivative function

softmaxDerivative(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDNN

Softmax derivative function

softplus(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise softplus function: out = log(exp(x) + 1)

softplus(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise softplus function: out = log(exp(x) + 1)

softplus(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise softplus function: out = log(exp(x) + 1)

softPlus(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

softPlus(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

SoftPlus - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

SoftPlus() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

SoftPlus(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

SoftPlus(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

SoftPlus(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

SoftPlus(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

SOFTPLUS - org.nd4j.enums.CellAct

SOFTPLUS - org.nd4j.enums.GateAct

SOFTPLUS - org.nd4j.enums.OutAct

SOFTPLUS - org.nd4j.linalg.activations.Activation

SOFTPLUS - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

SoftPlusBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

SoftPlusBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftPlusBp

SoftPlusBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftPlusBp

SoftPlusBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftPlusBp

softsign(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise softsign function: out = x / (abs(x) + 1)

softsign(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise softsign function: out = x / (abs(x) + 1)

softsign(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise softsign function: out = x / (abs(x) + 1)

softsign(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

softsign(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

SoftSign - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

SoftSign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

SoftSign(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

SoftSign(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

SoftSign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

SoftSign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

SOFTSIGN - org.nd4j.enums.CellAct

SOFTSIGN - org.nd4j.enums.GateAct

SOFTSIGN - org.nd4j.enums.OutAct

SOFTSIGN - org.nd4j.linalg.activations.Activation

SOFTSIGN - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

SoftSignBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

SoftSignBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignBp

SoftSignBp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignBp

SoftSignBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignBp

softsignDerivative(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise derivative (dOut/dIn) of the softsign function softsign(INDArray)

softsignDerivative(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise derivative (dOut/dIn) of the softsign function softsign(INDArray)

softsignDerivative(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise derivative (dOut/dIn) of the softsign function softsign(INDArray)

softsignDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

softsignDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

SoftSignDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

Deprecated.

SoftSignDerivative(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative

Deprecated.

SoftSignDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative

Deprecated.

SoftSignDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative

Deprecated.

SoftSignDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative

Deprecated.

SOFTWARE_TRACE - org.tensorflow.framework.RunOptions.TraceLevel

SOFTWARE_TRACE = 1;

SOFTWARE_TRACE_VALUE - Static variable in enum org.tensorflow.framework.RunOptions.TraceLevel

SOFTWARE_TRACE = 1;

solve(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for systems of linear equations.

solve(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for systems of linear equations.

solve(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for systems of linear equations.

solve(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for systems of linear equations.

solve(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Solver for systems of linear equations.

solve(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Solver for systems of linear equations.

solverAbsoluteAccuracy - Variable in class org.nd4j.linalg.api.rng.distribution.BaseDistribution

sort(INDArray, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Sort all elements of an array.

sort(INDArray, boolean) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

sort(INDArray, boolean, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

sort(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Sort an ndarray along a particular dimension
Note that the input array is modified in-place.

sortAndBatchByNumLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet

sortAndBatchByNumLabels() - Method in class org.nd4j.linalg.dataset.DataSet

Sorts the dataset by label: Splits the data transform such that examples are sorted by their labels.

sortByLabel() - Method in interface org.nd4j.linalg.dataset.api.DataSet

sortByLabel() - Method in class org.nd4j.linalg.dataset.DataSet

Organizes the dataset to minimize sampling error while still allowing efficient batching.

sortColumns(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Sort (shuffle) the columns of a 2d array according to the value at a specified row.

sortCooIndices(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

sortRows(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Sort (shuffle) the rows of a 2d array according to the value at a specified column.

sortWithIndices(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

Sort an ndarray along a particular dimension.
Note that the input array is modified in-place.

SOURCE_FILES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebuggedSourceFiles

SOURCE_RANK_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceResponse

spaceToBatch(String, SDVariable, int[], int[], int...) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 2d layer space to batch operation on 4d input.
Increases input batch dimension by rearranging data from spatial dimensions into batch dimension

spaceToBatch(SDVariable, int[], int[], int...) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 2d layer space to batch operation on 4d input.
Increases input batch dimension by rearranging data from spatial dimensions into batch dimension

spaceToBatch(INDArray, int[], int[], int...) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Convolution 2d layer space to batch operation on 4d input.
Increases input batch dimension by rearranging data from spatial dimensions into batch dimension

SpaceToBatch - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

SpaceToBatch() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

SpaceToBatch(SameDiff, SDVariable[], int[], int[][], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

SpaceToBatch(SameDiff, SDVariable, int[], int[], int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

SpaceToBatch(INDArray, int[], int[], int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

SpaceToBatchND - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

SpaceToBatchND() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

SpaceToBatchND(SameDiff, SDVariable[], int[], int[][], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

spaceToDepth(String, SDVariable, int, DataFormat) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 2d layer space to depth operation on 4d input.
Increases input channels (reduced spatial dimensions) by rearranging data into a larger channels dimension
Example: if input has shape [mb, 2, 4, 4] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2]
= [mb, 2, 4, 4]

spaceToDepth(SDVariable, int, DataFormat) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Convolution 2d layer space to depth operation on 4d input.
Increases input channels (reduced spatial dimensions) by rearranging data into a larger channels dimension
Example: if input has shape [mb, 2, 4, 4] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2]
= [mb, 2, 4, 4]

spaceToDepth(INDArray, int, DataFormat) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Convolution 2d layer space to depth operation on 4d input.
Increases input channels (reduced spatial dimensions) by rearranging data into a larger channels dimension
Example: if input has shape [mb, 2, 4, 4] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2]
= [mb, 2, 4, 4]

SpaceToDepth - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

SpaceToDepth() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

SpaceToDepth(SameDiff, SDVariable[], int, DataFormat) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

SpaceToDepth(SameDiff, SDVariable, int, DataFormat) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

SpaceToDepth(INDArray, int, DataFormat) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

SpaceToDepth(INDArray, INDArray, int, DataFormat) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

SPARK - org.nd4j.linalg.heartbeat.reports.Event

SPARSE - org.nd4j.linalg.api.shape.options.ArrayType

SPARSE_INITIALIZER_FIELD_NUMBER - Static variable in class onnx.Onnx.GraphProto

SPARSE_INITIALIZER_FIELD_NUMBER - Static variable in class onnx.OnnxMl.GraphProto

SPARSE_MCXENT - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

SPARSE_TENSOR - onnx.Onnx.AttributeProto.AttributeType

SPARSE_TENSOR = 11;

SPARSE_TENSOR - onnx.OnnxMl.AttributeProto.AttributeType

SPARSE_TENSOR = 11;

SPARSE_TENSOR_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

SPARSE_TENSOR_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

SPARSE_TENSOR_TYPE - onnx.Onnx.TypeProto.ValueCase

SPARSE_TENSOR_TYPE - onnx.OnnxMl.TypeProto.ValueCase

SPARSE_TENSOR_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto

SPARSE_TENSOR_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto

SPARSE_TENSOR_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

SPARSE_TENSOR = 11;

SPARSE_TENSOR_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

SPARSE_TENSOR = 11;

SPARSE_TENSORS - onnx.Onnx.AttributeProto.AttributeType

SPARSE_TENSORS = 12;

SPARSE_TENSORS - onnx.OnnxMl.AttributeProto.AttributeType

SPARSE_TENSORS = 12;

SPARSE_TENSORS_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

SPARSE_TENSORS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

SPARSE_TENSORS_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

SPARSE_TENSORS = 12;

SPARSE_TENSORS_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

SPARSE_TENSORS = 12;

sparseGenerator() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

sparseOffsets(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

sparseScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSparseMCXENT

SparseSingleGenerator() - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSingleGenerator

sparseSoftmaxCrossEntropy(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

As per softmaxCrossEntropy(String, SDVariable, SDVariable, LossReduce) but the labels variable
is represented as an integer array instead of the equivalent one-hot array.
i.e., if logits are rank N, then labels have rank N-1

sparseSoftmaxCrossEntropy(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss

As per softmaxCrossEntropy(String, SDVariable, SDVariable, LossReduce) but the labels variable
is represented as an integer array instead of the equivalent one-hot array.
i.e., if logits are rank N, then labels have rank N-1

sparseSoftmaxCrossEntropy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss

As per softmaxCrossEntropy(String, SDVariable, SDVariable, LossReduce) but the labels variable
is represented as an integer array instead of the equivalent one-hot array.
i.e., if logits are rank N, then labels have rank N-1

SparseSoftmaxCrossEntropyLossWithLogits - Class in org.nd4j.linalg.api.ops.impl.loss

SparseSoftmaxCrossEntropyLossWithLogits(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

SparseSoftmaxCrossEntropyLossWithLogits(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

SparseSoftmaxCrossEntropyLossWithLogitsBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp

SparseSoftmaxCrossEntropyLossWithLogitsBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.SparseSoftmaxCrossEntropyLossWithLogitsBp

SparseSpecifiedIndexesGenerator(INDArrayIndex[]) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSpecifiedIndexesGenerator

The indexes to generate from

sparseToDense(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a dense matrix equivalent of a sparse matrix based on the given input.

sparseToDense(String, SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a dense matrix equivalent of a sparse matrix based on the given input.

sparseToDense(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a dense matrix equivalent of a sparse matrix based on the given input.

sparseToDense(SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Create a dense matrix equivalent of a sparse matrix based on the given input.

sparseToDense(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Create a dense matrix equivalent of a sparse matrix based on the given input.

sparseToDense(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Create a dense matrix equivalent of a sparse matrix based on the given input.

SPECIAL - org.nd4j.linalg.api.ops.Op.Type

specialConcat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

Concatenate ndarrays along a dimension PLEASE NOTE: This method is special for GPU backend, it works on HOST side only.

specialConcat(int, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Concatenate ndarrays along a dimension PLEASE NOTE: This method is special for GPU backend, it works on HOST side only.

SpecifiedIndex - Class in org.nd4j.linalg.indexing

A SpecifiedIndex refers to a concrete set of points to be selectively pulled from a given dimension.

SpecifiedIndex(int...) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex

SpecifiedIndex(long...) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex

SpecifiedIndex.SingleGenerator - Class in org.nd4j.linalg.indexing

SpecifiedIndex.SparseSingleGenerator - Class in org.nd4j.linalg.indexing

SpecifiedIndex.SparseSpecifiedIndexesGenerator - Class in org.nd4j.linalg.indexing

A generator for SpecifiedIndex for Itertools.product(Generator) to iterate over an array given a set of iterators

SpecifiedIndex.SpecifiedIndexesGenerator - Class in org.nd4j.linalg.indexing

A generator for SpecifiedIndex for Itertools.product(Generator) to iterate over an array given a set of iterators

SpecifiedIndexesGenerator(INDArrayIndex[]) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SpecifiedIndexesGenerator

The indexes to generate from

SPILL_EVERYTHING - org.nd4j.linalg.api.memory.enums.DebugMode

All allocations will be considered spilled

spilledAllocationsSize - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

SpillPolicy - Enum in org.nd4j.linalg.api.memory.enums

split(String[], SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Split a value in to a list of ndarrays.

split(String[], SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Split a value in to a list of ndarrays.

split(SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Split a value in to a list of ndarrays.

split(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Split a value in to a list of ndarrays.

split(INDArray, int, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Split a value in to a list of ndarrays.

split(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Split a value in to a list of ndarrays.

Split - Class in org.nd4j.linalg.api.ops.impl.shape

Split op

Split() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Split

Split(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Split

Split(SameDiff, SDVariable, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Split

Split(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Split

Split(INDArray, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Split

Split(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Split

splitTestAndTrain(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet

SplitV the DataSet into two DataSets randomly

splitTestAndTrain(double) - Method in class org.nd4j.linalg.dataset.DataSet

splitTestAndTrain(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

splitTestAndTrain(int) - Method in class org.nd4j.linalg.dataset.DataSet

Splits a dataset in to test and train

splitTestAndTrain(int, Random) - Method in interface org.nd4j.linalg.dataset.api.DataSet

splitTestAndTrain(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet

Splits a dataset in to test and train randomly.

SplitTestAndTrain - Class in org.nd4j.linalg.dataset

SplitV test and train

SplitTestAndTrain(DataSet, DataSet) - Constructor for class org.nd4j.linalg.dataset.SplitTestAndTrain

splitV(String[], SDVariable, SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Split a value in to a list of ndarrays with varying sizes
according to the sizes parameter.

splitV(SDVariable, SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Split a value in to a list of ndarrays with varying sizes
according to the sizes parameter.

splitV(INDArray, INDArray, int, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Split a value in to a list of ndarrays with varying sizes
according to the sizes parameter.

SplitV - Class in org.nd4j.linalg.api.ops.impl.shape

SplitV op

SplitV() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SplitV

SplitV(SameDiff, SDVariable, SDVariable, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SplitV

SplitV(INDArray, INDArray, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SplitV

spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

spotrf(byte, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

Float/Double versions of cholesky decomp for positive definite matrices A = LL*

spr(char, char, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

spr performs a rank-1 update of an n-by-n packed symmetric matrix a: a := alpha*x*x' + a.

spr(char, char, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

spr performs a rank-1 update of an n-by-n packed symmetric matrix a: a := alpha*x*x' + a.

spr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

?spr2 performs a rank-2 update of an n-by-n packed symmetric matrix a: a := alpha*x*y' + alpha*y*x' + a.

spr2(char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

?spr2 performs a rank-2 update of an n-by-n packed symmetric matrix a: a := alpha*x*y' + alpha*y*x' + a.

SpTreeCell - Class in org.nd4j.linalg.api.ops.custom

SpTreeCell() - Constructor for class org.nd4j.linalg.api.ops.custom.SpTreeCell

SpTreeCell(INDArray, INDArray, INDArray, long, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.SpTreeCell

sqrt(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise square root function: out = sqrt(x)

sqrt(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise square root function: out = sqrt(x)

sqrt(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise square root function: out = sqrt(x)

sqrt(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sqrt function

sqrt(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Sqrt function

Sqrt - Class in org.nd4j.linalg.api.ops.impl.transforms.floating

Sqrt() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

Sqrt(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

Sqrt(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

Sqrt(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

Sqrt(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

SqrtM - Class in org.nd4j.linalg.api.ops.impl.transforms.floating

SqrtM() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.SqrtM

SqrtM(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.SqrtM

SqrtM(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.SqrtM

SqrtM(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.SqrtM

SqrtM(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.SqrtM

SqrtM(INDArray[], INDArray[], List<Double>, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.SqrtM

SqrtM(INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.floating.SqrtM

square(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise square function: out = x^2

square(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Element-wise square function: out = x^2

square(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Element-wise square function: out = x^2

Square - Class in org.nd4j.linalg.api.ops.impl.transforms.same

Square() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Square

Square(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Square

Square(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Square

Square(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Square

Square(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Square

SQUARED_HINGE - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

SQUARED_LOSS - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

squaredDifference(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Squared difference operation: (this - x)^2

squaredDifference(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise squared difference operation.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

squaredDifference(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.squaredDifference(String, SDVariable)

squaredDifference(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise squared difference operation.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

squaredDifference(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise squared difference operation.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

SquaredDifferenceBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

SquaredDifferenceBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp

SquaredDifferenceBpOp(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp

SquaredDifferenceOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

SquaredDifferenceOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

SquaredDifferenceOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

SquaredDifferenceOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

SquaredDifferenceOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

SquaredDifferenceOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

squaredDistance(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

squaredDistance(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the square of the Euclidean distance.

squaredNorm(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Squared L2 norm: see norm2(String, SDVariable, boolean, int...)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

squaredNorm(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of squared differences.

squaredNorm(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Squared L2 norm: see norm2(String, SDVariable, boolean, int...)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

squaredNorm(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of squared differences.

squaredNorm(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of squared differences.

squaredNorm(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of squared differences.

squaredNorm(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Squared L2 norm: see norm2(String, SDVariable, boolean, int...)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

squaredNorm(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of squared differences.

squaredNorm(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Squared L2 norm: see norm2(String, SDVariable, boolean, int...)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

squaredNorm(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of squared differences.

squaredNorm(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of squared differences.

squaredNorm(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of squared differences.

squaredNorm(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Squared L2 norm: see norm2(String, SDVariable, boolean, int...)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

squaredNorm(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of squared differences.

squaredNorm(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Squared L2 norm: see norm2(String, SDVariable, boolean, int...)
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

squaredNorm(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of squared differences.

squaredNorm(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of squared differences.

squaredNorm(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of squared differences.

SquaredNorm - Class in org.nd4j.linalg.api.ops.impl.reduce.floating

SquaredNorm() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(SameDiff, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(SameDiff, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNorm(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

SquaredNormBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

SquaredNormBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp

SquaredNormBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp

SquaredNormBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp

SquaredNormBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp

SquaredNormBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp

SquaredNormBp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp

SquaredNormBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp

SquaredNormBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SquaredNormBp

squeeze(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Gets rid of any singleton dimensions of the given array

squeeze(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Gets rid of any singleton dimensions of the given array

squeeze(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Remove a single dimension of size 1.
For example, if input has shape [a,b,1,c] then squeeze(input, 2) returns an array of shape [a,b,c]

squeeze(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Remove a single dimension of size 1.
For example, if input has shape [a,b,1,c] then squeeze(input, 2) returns an array of shape [a,b,c]

squeeze(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Squeeze : removes a dimension of size 1

squeeze(INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Remove a single dimension of size 1.
For example, if input has shape [a,b,1,c] then squeeze(input, 2) returns an array of shape [a,b,c]

Squeeze - Class in org.nd4j.linalg.api.ops.impl.shape

Squeeze() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Squeeze

Squeeze(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Squeeze

Squeeze(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Squeeze

Squeeze(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Squeeze

squishToRange(double, double) - Method in interface org.nd4j.linalg.dataset.api.DataSet

squishToRange(double, double) - Method in class org.nd4j.linalg.dataset.DataSet

Squeezes input data to a max and a min

SRC_DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest

srot(long, INDArray, int, INDArray, int, float, float) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

srotg(float, float, float, float) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

srotm(long, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

srotmg(float, float, float, float, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

sru(String, SDVariable, SDVariable, SDVariable, SRUWeights) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The SRU layer.

sru(String, SDVariable, SDVariable, SRUWeights) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The SRU layer.

sru(SDVariable, SDVariable, SDVariable, SRUWeights) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The SRU layer.

sru(SDVariable, SDVariable, SRUWeights) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The SRU layer.

sru(INDArray, INDArray, INDArray, SRUWeights) - Method in class org.nd4j.linalg.factory.ops.NDRNN

The SRU layer.

sru(INDArray, INDArray, SRUWeights) - Method in class org.nd4j.linalg.factory.ops.NDRNN

The SRU layer.

SRU - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

SRU(SameDiff, SDVariable, SDVariable, SDVariable, SRUWeights) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU

SRU(INDArray, INDArray, INDArray, SRUWeights) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU

SRU(INDArray, INDArray, SRUWeights) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU

sruCell(String, SDVariable, SDVariable, SRUWeights) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The SRU layer.

sruCell(SDVariable, SDVariable, SRUWeights) - Method in class org.nd4j.autodiff.samediff.ops.SDRNN

The SRU layer.

sruCell(INDArray, INDArray, SRUWeights) - Method in class org.nd4j.linalg.factory.ops.NDRNN

The SRU layer.

SRUCell - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent

SRUCell() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell

SRUCell(SameDiff, SDVariable, SDVariable, SRUWeights) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell

SRUCell(INDArray, INDArray, SRUWeights) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell

SRUCellOutputs - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs

SRUCellOutputs(SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRUCellOutputs

SRULayerOutputs - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs

SRULayerOutputs(SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.SRULayerOutputs

SRUWeights - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.weights

SRUWeights() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.SRUWeights

ssbmv(char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

sscal(long, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

sspmv(char, char, int, float, INDArray, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

sspr(char, char, int, float, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

sspr2(char, char, int, float, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

sswap(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

ssyev(char, char, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

Float/Double versions of eigen value/vector calc.

ssymm(char, char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

ssymv(char, char, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

ssyr(char, char, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

ssyr2(char, char, int, float, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

ssyr2k(char, char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

ssyrk(char, char, char, int, int, float, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

stabilize(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

stabilize(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Stabilize to be within a range of k

Stabilize - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Stabilize() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize

Stabilize(SameDiff, SDVariable, boolean, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize

Stabilize(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize

Stabilize(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize

STABLE - onnx.Onnx.OperatorStatus

STABLE = 1;

STABLE - onnx.OnnxMl.OperatorStatus

STABLE = 1;

STABLE_VALUE - Static variable in enum onnx.Onnx.OperatorStatus

STABLE = 1;

STABLE_VALUE - Static variable in enum onnx.OnnxMl.OperatorStatus

STABLE = 1;

StableNumber - Class in org.nd4j.linalg.indexing.functions

Returns a stable number based on infinity or nan

StableNumber(StableNumber.Type) - Constructor for class org.nd4j.linalg.indexing.functions.StableNumber

StableNumber.Type - Enum in org.nd4j.linalg.indexing.functions

stack(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

Stack a set of N SDVariables of rank X into one rank X+1 variable.

stack(int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Stack a set of N INDArray of rank X into one rank X+1 variable.
If inputs have shape [a,b,c] then output has shape:
axis = 0: [N,a,b,c]
axis = 1: [a,N,b,c]
axis = 2: [a,b,N,c]
axis = 3: [a,b,c,N]
see unstack(String[], SDVariable, int, int)

stack(int, INDArray...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Stack a set of N INDArray of rank X into one rank X+1 variable.
If inputs have shape [a,b,c] then output has shape:
axis = 0: [N,a,b,c]
axis = 1: [a,N,b,c]
axis = 2: [a,b,N,c]
axis = 3: [a,b,c,N]
see unstack(String[], SDVariable, int, int)

stack(String, int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Stack a set of N INDArray of rank X into one rank X+1 variable.
If inputs have shape [a,b,c] then output has shape:
axis = 0: [N,a,b,c]
axis = 1: [a,N,b,c]
axis = 2: [a,b,N,c]
axis = 3: [a,b,c,N]
see unstack(String[], SDVariable, int, int)

stack(SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

Stack - Class in org.nd4j.linalg.api.ops.impl.shape

Stack() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack

Stack(SameDiff, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack

Stack(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack

Stack(INDArray[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack

Stack(INDArray[], INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack

StackAggregator - Class in org.nd4j.linalg.profiler.data

StackAggregator() - Constructor for class org.nd4j.linalg.profiler.data.StackAggregator

StackComparator - Class in org.nd4j.linalg.profiler.data.primitives

StackComparator() - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackComparator

StackDescriptor - Class in org.nd4j.linalg.profiler.data.primitives

StackDescriptor(StackTraceElement[]) - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackDescriptor

StackNode - Class in org.nd4j.linalg.profiler.data.primitives

StackNode(String) - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackNode

stackOutputs(List<Map<String, INDArray>>) - Static method in class org.nd4j.autodiff.util.TrainingUtils

Stack batch outputs, like an output from SameDiff.output(MultiDataSetIterator, String...)

stackOutputs(List<ExecutionResult>) - Static method in class org.nd4j.autodiff.util.SameDiffUtils

Stack batch outputs, like an output from SameDiff.output(MultiDataSetIterator, String...)

stackTrace - Variable in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor

StackTree - Class in org.nd4j.linalg.profiler.data.primitives

StackTree() - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackTree

STANDALONE - org.nd4j.linalg.heartbeat.reports.Event

standardDeviation(String, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Standard deviation array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

standardDeviation(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Standard deviation array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

standardDeviation(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Standard deviation array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

standardDeviation(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Standard deviation array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

standardDeviation(INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Standard deviation array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

standardDeviation(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Standard deviation array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

StandardDeviation - Class in org.nd4j.linalg.api.ops.impl.summarystats

StandardDeviation() - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, boolean, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, int[], boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, int[], boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, int[], boolean, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, int[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, int[], double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, boolean, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, int[], boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, int[], boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, int[], boolean, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, int[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, int[], double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(SameDiff, SDVariable, SDVariable, SDVariable, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, boolean, double, double, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, boolean, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, boolean, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, double, double, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, double, double, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, INDArray, boolean, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, INDArray, boolean, int[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, INDArray, boolean, int[], double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, INDArray, double, double, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, INDArray, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviation(INDArray, INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

StandardDeviationBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

StandardDeviationBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

StandardDeviationBp(SameDiff, SDVariable, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

StandardDeviationBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

StandardDeviationBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

StandardDeviationBp(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

StandardDeviationBp(INDArray, INDArray, INDArray, boolean, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

StandardDeviationBp(INDArray, INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

StandardDeviationBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.StandardDeviationBp

standardize(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Standardize input variable along given axis

standardize(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Standardize input variable along given axis

standardize(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Standardize input variable along given axis

Standardize - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Standardize() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

Standardize(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

Standardize(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

Standardize(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Standardize

STANDARDIZE - org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

standardizeAllInputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply standardization to all inputs, except the ones individually configured

standardizeAllOutputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply standardization to all outputs, except the ones individually configured

StandardizeBp - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

StandardizeBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp

StandardizeBp(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp

StandardizeBp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.StandardizeBp

standardizeInput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply standardization to a specific input, overriding the global input strategy if any

standardizeOutput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Apply standardization to a specific output, overriding the global output strategy if any

StandardizeSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer

StandardizeSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy

StandardizeStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor

StandardizeStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy

StandardScaler - Class in org.nd4j.linalg.dataset.api.iterator

Deprecated.

StandardScaler() - Constructor for class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

START_EVENTS - Static variable in class org.nd4j.graph.UIInfoType

START_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorSliceProto.Extent

startAssociatedVariableVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.SequenceItem

startAVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

startBinlabelsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram

startBufferVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray

startBVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

startControlDepForOpVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

startControlDepForVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startControlDepsForOpVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

startControlDepsForVarVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

startControlDepsForVarVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

startControlDepsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startControlDepsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

startControlDepsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp

startControlDepsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

startDimensionsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startDVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

startExtraBoolsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startExtraIntegerVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startExtraParamsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startExtraStringsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startExtraTypesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startFlatArray(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatArray

startFlatArrayList(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatArrayList

startFlatConfiguration(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatConfiguration

startFlatDropRequest(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatDropRequest

startFlatGraph(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatGraph

startFlatInferenceRequest(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatInferenceRequest

startFlatNode(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatNode

startFlatProperties(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatProperties

startFlatResponse(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatResponse

startFlatResult(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatResult

startFlatTiming(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatTiming

startFlatVariable(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatVariable

startFrameIteration(FlatBufferBuilder) - Static method in class org.nd4j.graph.FrameIteration

startGpuMemoryVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHardwareState

startInputPairedVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startInputsForOpVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

startInputsPairVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

startInputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

startInputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp

startInputVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startIntPair(FlatBufferBuilder) - Static method in class org.nd4j.graph.IntPair

startIntTriple(FlatBufferBuilder) - Static method in class org.nd4j.graph.IntTriple

startIVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

startListVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArrayList

startLongPair(FlatBufferBuilder) - Static method in class org.nd4j.graph.LongPair

startLongTriple(FlatBufferBuilder) - Static method in class org.nd4j.graph.LongTriple

startLossVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

startLVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

startNodesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

startOpsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

startOutputNamesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startOutputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

startOutputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

startOutputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp

startOutputTypesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startOutputVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startPlaceholdersVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

startPropertiesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startSequenceItem(FlatBufferBuilder) - Static method in class org.nd4j.graph.SequenceItem

startSequenceItemRoot(FlatBufferBuilder) - Static method in class org.nd4j.graph.SequenceItemRoot

startSequenceItemsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.SequenceItemRoot

startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray

startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable

startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable

startSVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties

startTimingVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult

startUIAddName(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIAddName

startUIEvent(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIEvent

startUIGraphStructure(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIGraphStructure

startUIHardwareState(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIHardwareState

startUIHistogram(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIHistogram

startUIOp(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIOp

startUIStaticInfoRecord(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIStaticInfoRecord

startUISummaryStatistics(FlatBufferBuilder) - Static method in class org.nd4j.graph.UISummaryStatistics

startUISystemInfo(FlatBufferBuilder) - Static method in class org.nd4j.graph.UISystemInfo

startUIVariable(FlatBufferBuilder) - Static method in class org.nd4j.graph.UIVariable

startUpdaterState(FlatBufferBuilder) - Static method in class org.nd4j.graph.UpdaterState

startUpdaterStateKeysVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UpdaterState

startUpdaterStateValuesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UpdaterState

startUpdaterStateVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

startVarControlDepsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode

startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph

startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatInferenceRequest

startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult

startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure

stash - Variable in class org.nd4j.linalg.api.memory.stash.BasicStash

Stash<T> - Interface in org.nd4j.linalg.api.memory.stash

StashManager - Interface in org.nd4j.linalg.api.memory.stash

stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaBelief

stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaDelta

stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaGrad

stateSize(long) - Method in class org.nd4j.linalg.learning.config.Adam

stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaMax

stateSize(long) - Method in class org.nd4j.linalg.learning.config.AMSGrad

stateSize(long) - Method in interface org.nd4j.linalg.learning.config.IUpdater

Determine the updater state size for the given number of parameters.

stateSize(long) - Method in class org.nd4j.linalg.learning.config.Nadam

stateSize(long) - Method in class org.nd4j.linalg.learning.config.Nesterovs

stateSize(long) - Method in class org.nd4j.linalg.learning.config.NoOp

stateSize(long) - Method in class org.nd4j.linalg.learning.config.RmsProp

stateSize(long) - Method in class org.nd4j.linalg.learning.config.Sgd

stateSizeForInputSize(int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad

StaticInfo() - Constructor for class org.nd4j.graph.ui.LogFileWriter.StaticInfo

stats() - Method in class org.nd4j.evaluation.classification.Evaluation

Report the classification statistics as a String

stats() - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get a String representation of the EvaluationBinary class, using the default precision

stats() - Method in class org.nd4j.evaluation.classification.EvaluationCalibration

stats() - Method in class org.nd4j.evaluation.classification.ROC

stats() - Method in class org.nd4j.evaluation.classification.ROCBinary

stats() - Method in class org.nd4j.evaluation.classification.ROCMultiClass

stats() - Method in class org.nd4j.evaluation.custom.CustomEvaluation

stats() - Method in interface org.nd4j.evaluation.IEvaluation

stats() - Method in class org.nd4j.evaluation.regression.RegressionEvaluation

stats(boolean) - Method in class org.nd4j.evaluation.classification.Evaluation

Method to obtain the classification report as a String

stats(boolean, boolean) - Method in class org.nd4j.evaluation.classification.Evaluation

Method to obtain the classification report as a String

stats(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get a String representation of the EvaluationBinary class, using the specified precision

stats(int) - Method in class org.nd4j.evaluation.classification.ROCBinary

stats(int) - Method in class org.nd4j.evaluation.classification.ROCMultiClass

status() - Method in class org.nd4j.graph.FlatResponse

STATUS_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse

STATUS_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepResponse

STATUS_ERROR_MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse

STATUS_ERROR_MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepResponse

STATUS_FIELD_NUMBER - Static variable in class onnx.OnnxOperators.OperatorProto

stbmv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

stbsv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

std(boolean, boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

std(boolean, boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Standard deviation of an ndarray along a dimension

std(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.std(String, boolean, boolean, int...)

std(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

std(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Standard deviation of an ndarray along a dimension

std(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

std(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Standard deviation of an INDArray along one or more dimensions

std(String, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Stardard deviation array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

std(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.std(String, boolean, boolean, int...)

std(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.std(int...) with Integer.MAX_VALUE for full array reduction.

std(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.std(int...) with Integer.MAX_VALUE for full array reduction.

stdev() - Method in class org.nd4j.graph.UISummaryStatistics

stdMs() - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.OpExec

stdNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

stdNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Calculate the standard deviation for the entire array

stdNumber(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

stdNumber(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Calculate the standard deviation for the entire array, specifying whether it is bias corrected or not

step(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise step function:
out(x) = 1 if x >= cutoff
out(x) = 0 otherwise

step(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise step function:
out(x) = 1 if x >= cutoff
out(x) = 0 otherwise

step(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

step(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

step(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise step function:
out(x) = 1 if x >= cutoff
out(x) = 0 otherwise

Step - Class in org.nd4j.linalg.api.ops.impl.scalar

Step() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step

Step(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step

Step(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step

Step(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step

Step(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step

Step(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step

Step(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.Step

STEP_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LoggingResponse

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CleanupGraphRequest

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LabeledStepStats

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogStep

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorAllocation

STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorOutput

STEP_SEQUENCE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.GetStepSequenceResponse

STEP_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.LabeledStepStats

STEP_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphResponse

STEP_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunMetadata

StepSchedule - Class in org.nd4j.linalg.schedule

StepSchedule(ScheduleType, double, double, double) - Constructor for class org.nd4j.linalg.schedule.StepSchedule

stepsCount - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

StepSequence - Class in org.tensorflow.distruntime

Protobuf type tensorflow.StepSequence

StepSequence.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.StepSequence

StepSequenceOrBuilder - Interface in org.tensorflow.distruntime

stepsNumber - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

stepsNumber - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

This value is used only for circular workspaces

StepStats - Class in org.tensorflow.framework

Protobuf type tensorflow.StepStats

StepStats.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.StepStats

StepStatsOrBuilder - Interface in org.tensorflow.framework

StepStatsProtos - Class in org.tensorflow.framework

STOP - org.nd4j.autodiff.listeners.ListenerResponse

STOP_EVERYONE - org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling

Parallel iterator will stop everything once one of producers runs out of data

StopGradient - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat

StopGradient() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.StopGradient

StopGradient(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.StopGradient

store(T, double[]) - Method in interface org.nd4j.linalg.compression.AbstractStorage

Store object into storage

store(T, float[]) - Method in interface org.nd4j.linalg.compression.AbstractStorage

Store object into storage

store(T, INDArray) - Method in interface org.nd4j.linalg.compression.AbstractStorage

Store object into storage

STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunGraphRequest

STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepRequest

storeIfAbsent(T, INDArray) - Method in interface org.nd4j.linalg.compression.AbstractStorage

Store object into storage, if it doesn't exist

stpmv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

stpsv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

strategy - Variable in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

strategy - Variable in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

STRENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.InterconnectLink

STRICT - org.nd4j.autodiff.execution.conf.ExecutionMode

all operations will be following device id for execution mode selection

STRICT - org.nd4j.linalg.api.memory.enums.AllocationPolicy

This policy means - we're allocating exact values we specify for WorkspaceConfiguration.initialSize, or learn during loops

STRICT - Static variable in class org.nd4j.graph.ExecutionMode

stride - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo

stride - Variable in class org.nd4j.linalg.indexing.IntervalIndex

stride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

stride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the stride of this ndarray

stride() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

The stride for the index (most of the time will be 1)

stride() - Method in class org.nd4j.linalg.indexing.IntervalIndex

stride() - Method in class org.nd4j.linalg.indexing.NDArrayIndex

stride() - Method in class org.nd4j.linalg.indexing.NewAxis

stride() - Method in class org.nd4j.linalg.indexing.PointIndex

stride() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

stride(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

stride(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Calculate the stride along a particular dimension

stride(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

stride(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

stride(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

stride(long[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

stride(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the stride for the given shape information buffer

stride(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the stride of the specified dimension

stride(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

stride(LongBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape

stride(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the shape from the given int buffer

stride(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the stride of the specified dimension

stride(INDArray, INDArrayIndex[], int...) - Static method in class org.nd4j.linalg.indexing.Indices

Return the stride to be used for indexing

strideArr(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get array shape from the buffer, as an int[]

STRIDED_ACCESS - org.nd4j.linalg.profiler.OpProfiler.PenaltyCause

strideDescendingCAscendingF(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

Check if strides are in order suitable for non-strided mmul etc.

stridedSlice(String, SDVariable, long[], long[], long...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(String, SDVariable, long[], long[], long[], int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(String, SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(String, SDVariable, SDVariable, SDVariable, SDVariable, int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(SDVariable, long[], long[], long...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(SDVariable, long[], long[], long[], int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(SDVariable, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(SDVariable, SDVariable, SDVariable, SDVariable, int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(INDArray, long[], long[], long...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(INDArray, long[], long[], long[], int, int, int, int, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

stridedSlice(INDArray, INDArray, INDArray, INDArray, int, int, int, int, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Get a subset of the specified input, by specifying the first element, last element, and the strides.
For example, if input is:
[a, b, c]
[d, e, f]
[g, h, i]
then stridedSlice(input, begin=[0,1], end=[2,2], strides=[2,1], all masks = 0) will return:
[b, c]
[h, i]

StridedSlice - Class in org.nd4j.linalg.api.ops.impl.shape

StridedSlice() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(SameDiff, SDVariable, @lombok.NonNull int[], @lombok.NonNull int[], @lombok.NonNull int[], int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(SameDiff, SDVariable, @lombok.NonNull long[], @lombok.NonNull long[], @lombok.NonNull long[], int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(SameDiff, SDVariable, int[], int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(SameDiff, SDVariable, long[], long[], long[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(INDArray, int[], int[], int[], int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(INDArray, long[], long[], long[], int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSlice(INDArray, INDArray, INDArray, INDArray, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

StridedSliceBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp

StridedSliceBp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp

StridedSliceBp(SameDiff, SDVariable, SDVariable, @lombok.NonNull long[], @lombok.NonNull long[], @lombok.NonNull long[], int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp

StridedSliceBp(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp

strideOf() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

strides(char, NDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices

Calculate the strides based on the given indices

stridesOf(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

stridesOf(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape

strideUnsafe(int[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

strideUnsafe(long[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

strideUnsafe(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the stride of the specified dimension, without any input validation

STRING - onnx.Onnx.AttributeProto.AttributeType

STRING = 3;

STRING - onnx.Onnx.TensorProto.DataType

string

STRING - onnx.OnnxMl.AttributeProto.AttributeType

STRING = 3;

STRING - onnx.OnnxMl.TensorProto.DataType

string

STRING - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

STRING = 8;

STRING - org.nd4j.ir.TensorNamespace.DataType

string

STRING_DATA_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

STRING_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

STRING_DATA_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

STRING_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

STRING_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

STRING = 3;

STRING_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

string

STRING_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

STRING = 3;

STRING_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

string

STRING_VALUE - Static variable in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

STRING = 8;

STRING_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

string

StringAggregator - Class in org.nd4j.linalg.profiler.data

StringAggregator() - Constructor for class org.nd4j.linalg.profiler.data.StringAggregator

stringBuffer(FlatBufferBuilder, DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

StringCounter - Class in org.nd4j.linalg.profiler.data

StringCounter() - Constructor for class org.nd4j.linalg.profiler.data.StringCounter

StringEqualsAdapter - Class in org.nd4j.imports.descriptors.properties.adapters

StringEqualsAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.StringEqualsAdapter

StringNotEqualsAdapter - Class in org.nd4j.imports.descriptors.properties.adapters

StringNotEqualsAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.StringNotEqualsAdapter

STRINGS - onnx.Onnx.AttributeProto.AttributeType

STRINGS = 8;

STRINGS - onnx.OnnxMl.AttributeProto.AttributeType

STRINGS = 8;

STRINGS_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

STRINGS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

STRINGS_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

STRINGS = 8;

STRINGS_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

STRINGS = 8;

StringTensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.StringTensorMapper

STRINGULAR - Static variable in class org.nd4j.graph.InputType

STRINGULAR_SET - Static variable in class org.nd4j.graph.InputType

STRINGVALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.OpNamespace.ArgDescriptor

stripControl(String) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

stripOnes(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Reshapes an ndarray to remove leading 1s

STRIPPED_DEFAULT_ATTRS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

STRIPPED_OP_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

stripVarSuffix(String) - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper

Remove the ":1" etc suffix for a variable name to get the op name

stripVarSuffix(String) - Static method in class org.nd4j.imports.VariableUtils

Remove the ":1" etc suffix for a variable name to get the op name

strmm(char, char, char, char, char, int, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

strmv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

strsm(char, char, char, char, char, int, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

strsv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

sub(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.sub(String, double)

sub(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sub(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Scalar subtraction (copied)

sub(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sub(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Subtraction of this ndarray

sub(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable

Scalar subtraction: out = this - scalar
Output variable has the same shape as the input variable

sub(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

Subtraction operation: elementwise this - x
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.

sub(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar subtraction operation, out = in - scalar

sub(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise subtraction operation, out = x - y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

sub(Loss) - Method in class org.nd4j.autodiff.listeners.Loss

sub(Loss, Loss) - Static method in class org.nd4j.autodiff.listeners.Loss

sub(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.sub(String, SDVariable)

sub(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Scalar subtraction operation, out = in - scalar

sub(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Pairwise subtraction operation, out = x - y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

sub(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sub(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

copy subtraction of two NDArrays

sub(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath

Scalar subtraction operation, out = in - scalar

sub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sub(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

copy subtraction of two NDArrays

sub(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Pairwise subtraction operation, out = x - y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html

sub(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Broadcast subtraction op.

sub2Ind(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Convert the given index (such as 1,1) to a linear index

SubBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp

SubBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SubBpOp

SubBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SubBpOp

subColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

subColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Subtraction of a column vector (copy)

SUBDIV_OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

subgraph - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession

Contains variables we *might* need to execute in process of getting outputs we want.

SubGraph - Class in org.nd4j.autodiff.samediff.transform

SubGraph() - Constructor for class org.nd4j.autodiff.samediff.transform.SubGraph

subgraphOps - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession

As per subgraph set, but for ops instead

SubGraphPredicate - Class in org.nd4j.autodiff.samediff.transform

SubGraphPredicate(OpPredicate) - Constructor for class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

SubGraphProcessor - Interface in org.nd4j.autodiff.samediff.transform

subi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

subi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place scalar subtraction

subi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

subi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place subtraction of this ndarray

subi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

subi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) subtraction of two NDArrays

subi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

in place subtraction of two matrices

subi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) subtraction of two NDArrays

subiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

subiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place subtraction of a column vector

subiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

subiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place subtraction of a row vector

subList(int, int) - Method in class org.nd4j.list.NDArrayList

SubOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

SubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

SubOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

SubOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

SubOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

SubOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

subRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

subRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Subtraction of a row vector (copy)

SUBTRACT - org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate.UpdateOp

SufficientStatistics - Class in org.nd4j.linalg.api.ops.impl.reduce

SufficientStatistics(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.SufficientStatistics

SufficientStatistics(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.SufficientStatistics

SufficientStatistics(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.SufficientStatistics

sum(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.sum(String, boolean, int...)

sum(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sum(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the sum along the last dimension of this ndarray

sum(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.sum(String, boolean, int...)

sum(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sum(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the sum along the last dimension of this ndarray

sum(INDArray, boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sum(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sum(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

Sum array reduction operation, optionally along specified dimensions.
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.

sum(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable

See SDVariable.sum(String, boolean, int...)

sum(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Sum array reduction operation, optionally along specified dimensions.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

sum(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Sum array reduction operation, optionally along specified dimensions.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

sum(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(String, SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(List<Loss>) - Static method in class org.nd4j.autodiff.listeners.Loss

sum(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Sum array reduction operation, optionally along specified dimensions.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

sum(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Sum array reduction operation, optionally along specified dimensions.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

sum(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(SDVariable, SDVariable, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.sum(int...) with Integer.MAX_VALUE for full array reduction.

sum(INDArray, boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the sum along the last dimension of this ndarray

sum(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Sum array reduction operation, optionally along specified dimensions.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

sum(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.sum(int...)with Integer.MAX_VALUE for full array reduction.

sum(INDArray, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the sum along the last dimension of this ndarray

sum(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Sum array reduction operation, optionally along specified dimensions.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

sum(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

sum(INDArray, INDArray, boolean) - Method in class org.nd4j.linalg.factory.ops.NDMath

Sum of an array, optionally along specified dimensions: out = sum(x))

Sum - Class in org.nd4j.linalg.api.ops.impl.reduce.same

Sum() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(INDArray, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(INDArray, INDArray, INDArray, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

Sum(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

SUM - org.nd4j.autodiff.loss.LossReduce

Weigted sum across all loss values, returning a scalar.

SUM - Static variable in class org.nd4j.graph.LossReduce

SUM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto

SUM_SQUARES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto

SumBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

SumBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp

SumBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp

SumBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp

SumBp(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp

SumBp(INDArray, INDArray, INDArray, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.SumBp

summarizeProfile(File, ProfileAnalyzer.ProfileFormat) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

Summarize and print to stdout the specified profile file

summarizeProfileDirectory(File, ProfileAnalyzer.ProfileFormat) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

Aggregate, summarize and print to stdout all .json profile files in the specified directory (not recursive)

summarizeProfileDirectoryStr(File, ProfileAnalyzer.ProfileFormat) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

Aggregate, summarize and return as a String all .json profile files in the specified directory (not recursive)

summarizeProfileStr(File, ProfileAnalyzer.ProfileFormat) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

Summarize and return as a string the specified profile file

summarizeTraceEvents(TraceEvent[]) - Static method in class org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer

Summarize the specified TraceEvents as a String

summary() - Method in class org.nd4j.autodiff.samediff.SameDiff

Generate and return a String representation of the current SameDiff instance
Reports variables, ops, SameDiff function instances, and (where possible) array shapes.
For ops, the input and output variables are reported.
For variables, the ops that they are inputs to - or outputs of - are also reported

Summary - Class in org.tensorflow.framework

A Summary is a set of named values to be displayed by the visualizer.

SUMMARY_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata

SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef

SUMMARY_STATISTICS - Static variable in class org.nd4j.graph.UIEventType

Summary.Audio - Class in org.tensorflow.framework

Protobuf type tensorflow.Summary.Audio

Summary.Audio.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.Summary.Audio

Summary.AudioOrBuilder - Interface in org.tensorflow.framework

Summary.Builder - Class in org.tensorflow.framework

A Summary is a set of named values to be displayed by the visualizer.

Summary.Image - Class in org.tensorflow.framework

Protobuf type tensorflow.Summary.Image

Summary.Image.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.Summary.Image

Summary.ImageOrBuilder - Interface in org.tensorflow.framework

Summary.Value - Class in org.tensorflow.framework

Protobuf type tensorflow.Summary.Value

Summary.Value.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.Summary.Value

Summary.Value.ValueCase - Enum in org.tensorflow.framework

Summary.ValueOrBuilder - Interface in org.tensorflow.framework

SummaryDescription - Class in org.tensorflow.framework

Metadata associated with a series of Summary data

SummaryDescription.Builder - Class in org.tensorflow.framework

Metadata associated with a series of Summary data

SummaryDescriptionOrBuilder - Interface in org.tensorflow.framework

SummaryMetadata - Class in org.tensorflow.framework

A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.

SummaryMetadata.Builder - Class in org.tensorflow.framework

A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.

SummaryMetadata.PluginData - Class in org.tensorflow.framework

Protobuf type tensorflow.SummaryMetadata.PluginData

SummaryMetadata.PluginData.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.SummaryMetadata.PluginData

SummaryMetadata.PluginDataOrBuilder - Interface in org.tensorflow.framework

SummaryMetadataOrBuilder - Interface in org.tensorflow.framework

SummaryOrBuilder - Interface in org.tensorflow.framework

SummaryProtos - Class in org.tensorflow.framework

SUMMARYSTATS - org.nd4j.linalg.api.ops.Op.Type

SUMMARYSTATS - Static variable in class org.nd4j.graph.OpType

sumNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

sumNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Sum the entire array

SUPPLIED - org.nd4j.weightinit.WeightInit

supportsDataBufferL1Ops() - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

supportsDataBufferL1Ops() - Method in interface org.nd4j.linalg.api.blas.Level1

Can we use the axpy and copy methods that take a DataBuffer instead of an INDArray with this backend?

svd(String, SDVariable, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates singular value decomposition.

svd(String, SDVariable, boolean, boolean, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates singular value decomposition.

svd(SDVariable, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates singular value decomposition.

svd(SDVariable, boolean, boolean, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Calculates singular value decomposition.

svd(INDArray, boolean, boolean) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Calculates singular value decomposition.

svd(INDArray, boolean, boolean, int) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Calculates singular value decomposition.

Svd - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Svd() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

Svd(SameDiff, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

Svd(SameDiff, SDVariable, boolean, boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

Svd(INDArray, boolean, boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

Svd(INDArray, boolean, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

sVector() - Method in class org.nd4j.graph.FlatProperties

sVector(StringVector) - Method in class org.nd4j.graph.FlatProperties

swap(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

swaps a vector with another vector.

swap(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

swaps a vector with another vector.

swap(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

swap(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute x <-> y (swap two matrices)

SWAP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

swapAxes(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

swapAxes(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Mainly here for people coming from numpy.

SWAPPING_HEURISTICS - org.tensorflow.framework.RewriterConfig.MemOptType

Swapping heuristic will move a tensor from the GPU to the CPU and move it back when needed to reduce peak memory usage.

SWAPPING_HEURISTICS_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.MemOptType

Swapping heuristic will move a tensor from the GPU to the CPU and move it back when needed to reduce peak memory usage.

swish(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise "swish" function: out = x * sigmoid(b*x) with b=1.0
See: https://arxiv.org/abs/1710.05941

swish(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Element-wise "swish" function: out = x * sigmoid(b*x) with b=1.0
See: https://arxiv.org/abs/1710.05941

swish(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Element-wise "swish" function: out = x * sigmoid(b*x) with b=1.0
See: https://arxiv.org/abs/1710.05941

Swish - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Swish(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish

Swish(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish

Swish(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish

Swish(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish

SWISH - org.nd4j.linalg.activations.Activation

SwishDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Swish derivative

SwishDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

SwishDerivative(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

SwishDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

SwishDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

SwishDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

SwishDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

Switch - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat

Switch() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

Switch(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

Switch(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

SWITCH_L - org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

SWITCH_R - org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

switchOp(String[], SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Switch operation
Predicate - if false, values are output to left (first) branch/output; if true, to right (second) branch/output

switchOp(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Switch operation
Predicate - if false, values are output to left (first) branch/output; if true, to right (second) branch/output

switchOp(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Switch operation
Predicate - if false, values are output to left (first) branch/output; if true, to right (second) branch/output

syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack

syev(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack

Caclulate the eigenvalues and vectors of a symmetric matrix.

syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

syev(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

syevd(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

syevd(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper

syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations: c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n' c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c' where c is an n-by-n Hermitian matrix; a and b are n-by-k matrices if trans = 'N'or'n', a and b are k-by-n matrices if trans = 'C'or'c'.

symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3

her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations: c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n' c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c' where c is an n-by-n Hermitian matrix; a and b are n-by-k matrices if trans = 'N'or'n', a and b are k-by-n matrices if trans = 'C'or'c'.

SYMMETRIC - org.nd4j.enums.Mode

SYMMETRIC - org.nd4j.enums.PadMode

SYMMETRIC - org.nd4j.linalg.api.ops.impl.transforms.Pad.Mode

symmetricGeneralizedEigenvalues(INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen

Compute generalized eigenvalues of the problem A x = L x.

symmetricGeneralizedEigenvalues(INDArray, boolean) - Static method in class org.nd4j.linalg.eigen.Eigen

Compute generalized eigenvalues of the problem A x = L x.

symmetricGeneralizedEigenvalues(INDArray, INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen

Compute generalized eigenvalues of the problem A x = L B x.

symmetricGeneralizedEigenvalues(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.eigen.Eigen

Compute generalized eigenvalues of the problem A x = L B x.

symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

symv computes a matrix-vector product for a symmetric matrix: y := alpha*a*x + beta*y.

symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

symv computes a matrix-vector product for a symmetric matrix: y := alpha*a*x + beta*y.

SYNCABLE - org.nd4j.linalg.api.concurrency.ArrayType

This means VariadicINDArray will have exactly the same data type and shape on different, thus entries can have synchronized values

syncToPrimary() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

This method synchronizes host memory

syncToPrimary() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

syncToSpecial() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

This method synchronizes device memory

syncToSpecial() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

syr(char, char, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

syr performs a rank-1 update of an n-by-n symmetric matrix a: a := alpha*x*x' + a.

syr(char, char, int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

syr performs a rank-1 update of an n-by-n symmetric matrix a: a := alpha*x*x' + a.

syr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

syr2(char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations: c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n' c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't', where c is an n-by-n symmetric matrix; a and b are n-by-k matrices, if trans = 'N'or'n', a and b are k-by-n matrices, if trans = 'T'or't'.

syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3

yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations: c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n' c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't', where c is an n-by-n symmetric matrix; a and b are n-by-k matrices, if trans = 'N'or'n', a and b are k-by-n matrices, if trans = 'T'or't'.

syrk(char, char, char, double, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations: c := alpha*a*a' + beta*c for trans = 'N'or'n' c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c', where c is an n-by-n symmetric matrix; a is an n-by-k matrix, if trans = 'N'or'n', a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.

syrk(char, char, char, double, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3

syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations: c := alpha*a*a' + beta*c for trans = 'N'or'n' c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c', where c is an n-by-n symmetric matrix; a is an n-by-k matrix, if trans = 'N'or'n', a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.

SystemInfo - Class in org.nd4j.systeminfo

SystemInfo() - Constructor for class org.nd4j.systeminfo.SystemInfo

sysv(char, INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

sysv(char, INDArray, int[], INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

SYTEM_INFO - Static variable in class org.nd4j.graph.UIInfoType

T

t - org.nd4j.autodiff.listeners.profiler.data.Phase

t - Variable in class org.nd4j.linalg.util.AtomicThrowable

T_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

T_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

T2NS - org.nd4j.enums.LSTMDataFormat

T2NS - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDataFormat

TAD_NON_EWS_ACCESS - org.nd4j.linalg.profiler.OpProfiler.PenaltyCause

TAD_STRIDED_ACCESS - org.nd4j.linalg.profiler.OpProfiler.PenaltyCause

TadDescriptor - Class in org.nd4j.linalg.cache

TadDescriptor(INDArray, int[]) - Constructor for class org.nd4j.linalg.cache.TadDescriptor

Pass in an ndarray to get the databuffer and the appropriate dimensions

TADManager - Interface in org.nd4j.linalg.cache

TadPack - Class in org.nd4j.linalg.api.shape

TadPack() - Constructor for class org.nd4j.linalg.api.shape.TadPack

tadShapeInfoAndOffsets(INDArray, int[]) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

tadShapeInfoAndOffsets(INDArray, int[]) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns host/device tad buffers

tadThreshold() - Method in interface org.nd4j.linalg.factory.Environment

Returns the TAD (tensor along dimension) threshold for ops

TAG_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value

tagLocation(DataBuffer, AffinityManager.Location) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method tags specific DataBuffer as "recent" on specified location

tagLocation(DataBuffer, AffinityManager.Location) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

tagLocation(INDArray, AffinityManager.Location) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method tags specific INDArray as "recent" on specified location

tagLocation(INDArray, AffinityManager.Location) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

tagOutOfScopeUse() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

tagOutOfScopeUse() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

tagOutOfScopeUse() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method temporary disables this workspace

TAGS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

tagScope - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

tailor2d(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

tailor2d(DataSet, boolean) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

tailor3d2d(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

tailor3d2d(DataSet, boolean) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

Deprecated.

tailor4d2d(INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

tailor4d2d(DataSet, boolean) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil

tan(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise tangent operation: out = tan(x)

tan(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise tangent operation: out = tan(x)

tan(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise tangent operation: out = tan(x)

tan(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Element-wise tan function.

tan(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Element-wise tan function.

Tan - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Tan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

Tan(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

Tan(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

Tan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

Tan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

TanDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

TanDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.TanDerivative

TanDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.TanDerivative

TanDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.TanDerivative

tanh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise tanh (hyperbolic tangent) operation: out = tanh(x)

tanh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Elementwise tanh (hyperbolic tangent) operation: out = tanh(x)

tanh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Elementwise tanh (hyperbolic tangent) operation: out = tanh(x)

tanh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Elementwise tanh (hyperbolic tangent) operation: out = tanh(x)

tanh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Elementwise tanh (hyperbolic tangent) operation: out = tanh(x)

tanh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDNN

Elementwise tanh (hyperbolic tangent) operation: out = tanh(x)

tanh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Tanh function

tanh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Tanh function

Tanh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Tanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

Tanh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

Tanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

Tanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

Tanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

TANH - org.nd4j.enums.CellAct

TANH - org.nd4j.enums.GateAct

TANH - org.nd4j.enums.OutAct

TANH - org.nd4j.linalg.activations.Activation

TANH - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

TanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

TanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.strict

Deprecated.

TanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

TanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative

Deprecated.

TanhDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative

Deprecated.

TanhDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

TanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative

Deprecated.

TanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

TanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative

Deprecated.

TanhDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

TARG - org.nd4j.ir.MapperNamespace.OpListType

TARG = 0;

TARG_VALUE - Static variable in enum org.nd4j.ir.MapperNamespace.OpListType

TARG = 0;

TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CreateSessionRequest

TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.PartialRunSetupRequest

TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepRequest

TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CallableOptions

targetDevice() - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

targetDevice() - Method in interface org.nd4j.linalg.api.memory.Deallocatable

This method returns deviceId it's affined with, so deallocator thread will be guaranteed to match it

targetShape(INDArray, double) - Static method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

Compute the target shape of a suitable projection matrix

targetShape(INDArray, int) - Static method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection

Compute the target shape of a suitable projection matrix

targetVariable() - Method in interface org.nd4j.linalg.env.EnvironmentalAction

This method returns target environemt variable for this action

targetVariable() - Method in class org.nd4j.linalg.env.impl.DebugAction

targetVariable() - Method in class org.nd4j.linalg.env.impl.FallbackAction

targetVariable() - Method in class org.nd4j.linalg.env.impl.NDArrayUnpackAction

targetVariable() - Method in class org.nd4j.linalg.env.impl.OmpNumThreadsAction

targetVariable() - Method in class org.nd4j.linalg.env.impl.VerboseAction

targetVariable() - Method in class org.nd4j.linalg.env.impl.WorkspacesBypassAction

targetVariable() - Method in class org.nd4j.linalg.env.impl.WorkspacesDebugAction

targetVariable() - Method in class org.nd4j.linalg.env.impl.WorkspacesSpillAction

tArgs() - Method in interface org.nd4j.linalg.api.ops.CustomOp

tArgs() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

tArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration

tArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMConfiguration

tArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer

tArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayerBp

tArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp

Task - Class in org.nd4j.linalg.heartbeat.reports

Task() - Constructor for class org.nd4j.linalg.heartbeat.reports.Task

TASK_INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.ServerDef

TASK_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteGroupResponse

Task.ArchitectureType - Enum in org.nd4j.linalg.heartbeat.reports

Task.NetworkType - Enum in org.nd4j.linalg.heartbeat.reports

TASKS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.JobDef

TaskUtils - Class in org.nd4j.linalg.heartbeat.utils

tbmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

syr2 performs a rank-2 update of an n-by-n symmetric matrix a: a := alpha*x*y' + alpha*y*x' + a.

tbmv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

syr2 performs a rank-2 update of an n-by-n symmetric matrix a: a := alpha*x*y' + alpha*y*x' + a.

tbpttWindowSize - Variable in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor

tbsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

?tbsv solves a system of linear equations whose coefficients are in a triangular band matrix.

tbsv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

?tbsv solves a system of linear equations whose coefficients are in a triangular band matrix.

tear(INDArray, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

This method does the opposite to pile/vstack/hstack - it returns independent TAD copies along given dimensions

tear(INDArray, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryStats

tempFile - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

tempFilePath - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

Path to file to be memory-mapped

TEMPORARY_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node

TENSOR - onnx.Onnx.AttributeProto.AttributeType

TENSOR = 4;

TENSOR - onnx.OnnxMl.AttributeProto.AttributeType

TENSOR = 4;

TENSOR - org.nd4j.autodiff.samediff.config.SDValueType

TENSOR - org.tensorflow.framework.AttrValue.ValueCase

TENSOR - org.tensorflow.framework.Summary.Value.ValueCase

TENSOR_CONNECTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CallableOptions

TENSOR_CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

TENSOR_CONTENT_FIELD_NUMBER - Static variable in class tensorflow.TransportOptions.RecvBufRespExtra

TENSOR_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeOutput

TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorResponse

TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RunStepResponse

TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue

TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorAllocation

TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorOutput

TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NamedTensorProto

TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value

TENSOR_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AssetFileDef

TENSOR_NAME_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorAnnotation

TENSOR_NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorAnnotation

TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorInfo

TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

TENSOR_TYPE - onnx.Onnx.TypeProto.ValueCase

TENSOR_TYPE - onnx.OnnxMl.TypeProto.ValueCase

TENSOR_TYPE - org.nd4j.ir.TensorNamespace.TypeProto.ValueCase

TENSOR_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto

TENSOR_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto

TENSOR_TYPE_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TypeProto

TENSOR_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

TENSOR = 4;

TENSOR_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

TENSOR = 4;

tensorAlongDimension(long, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

tensorAlongDimension(long, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get the vector along a particular dimension

tensorArray(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new TensorArray.

tensorArray(DataType) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new TensorArray.

TensorArray - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

TensorArray() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

TensorArray(String, SameDiff, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

TensorArray(SameDiff, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

TensorArray(DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

TensorArray(TensorArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

TensorArray(TensorArray, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

TensorArrayConcat - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

TensorArrayConcat() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

TensorArrayConcat(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

TensorArrayConcat(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

TensorArrayConcat(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

TensorArrayConcat(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

tensorArrayDataType - Variable in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

TensorArrayGather - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

TensorArrayGather() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

TensorArrayGather(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

TensorArrayGather(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

TensorArrayGather(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

TensorArrayGather(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

TensorArrayRead - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

TensorArrayRead() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead

TensorArrayRead(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead

TensorArrayRead(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead

TensorArrayRemove - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

TensorArrayRemove() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRemove

TensorArrayRemove(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRemove

TensorArrayRemove(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRemove

TensorArrayRemove(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRemove

TensorArrayRemove(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRemove

TensorArrayScatter - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

TensorArrayScatter() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

TensorArrayScatter(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

TensorArrayScatter(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

TensorArrayScatter(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

TensorArrayScatter(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

TensorArraySize - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

TensorArraySize() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

TensorArraySize(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

TensorArraySize(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

TensorArraySize(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

TensorArraySplit - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

TensorArraySplit() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySplit

TensorArraySplit(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySplit

TensorArraySplit(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySplit

TensorArrayWrite - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops

TensorArrayWrite() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite

TensorArrayWrite(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite

TensorArrayWrite(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite

TensorBundleProtos - Class in org.tensorflow.util

TensorConnection - Class in org.tensorflow.framework

Defines a connection between two tensors in a `GraphDef`.

TensorConnection.Builder - Class in org.tensorflow.framework

Defines a connection between two tensors in a `GraphDef`.

TensorConnectionOrBuilder - Interface in org.tensorflow.framework

TensorDescription - Class in org.tensorflow.framework

Protobuf type tensorflow.TensorDescription

TensorDescription.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.TensorDescription

TensorDescriptionOrBuilder - Interface in org.tensorflow.framework

TensorDescriptionProtos - Class in org.tensorflow.framework

TensorDescriptor - Class in org.nd4j.imports.descriptors.onnx

TensorDescriptor() - Constructor for class org.nd4j.imports.descriptors.onnx.TensorDescriptor

tensorflow - package tensorflow

TENSORFLOW - org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.ProfileFormat

TENSORFLOW_GIT_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

TENSORFLOW_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

tensorflow.eager - package tensorflow.eager

TensorflowDescriptorParser - Class in org.nd4j.imports.descriptors.tensorflow

TensorflowDescriptorParser() - Constructor for class org.nd4j.imports.descriptors.tensorflow.TensorflowDescriptorParser

TensorFlowImportValidator - Class in org.nd4j.imports.tensorflow

TensorFlowImportValidator() - Constructor for class org.nd4j.imports.tensorflow.TensorFlowImportValidator

tensorflowName() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The opName of this function tensorflow

tensorflowName() - Method in class org.nd4j.linalg.api.ops.BaseOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.AdjustHue

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.AdjustSaturation

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.BetaInc

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.BitCast

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.CompareAndBitpack

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.Digamma

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.DivideNoNan

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.HsvToRgb

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.Igamma

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.Igammac

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.Lgamma

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.LinearSolve

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.Lu

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.MatrixBandPart

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.Polygamma

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.RandomCrop

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.RgbToHsv

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.Roll

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.ToggleBits

tensorflowName() - Method in class org.nd4j.linalg.api.ops.custom.TriangularSolve

tensorflowName() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastEqualTo

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThan

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastGreaterThanOrEqual

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThan

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastLessThanOrEqual

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastTo

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.StopGradient

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Select

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Where

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.image.CropAndResize

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionWithOverlaps

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeNearestNeighbor

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling3D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPoolWithArgmax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlock

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMBlockCell

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.loss.L2Loss

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.All

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bool.Any

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.LogEntropy

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Mean

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.Norm1

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.NormMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.ShannonEntropy

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.floating.SquaredNorm

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.CountZero

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.longer.MatchCondition

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.AMin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.ASum

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Max

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Min

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Prod

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.same.Sum

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce.ZeroFraction

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.reduce3.JaccardDistance

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.LogX

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Pow

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.PowDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.PRelu

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Relu6

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.Step

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNd

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdAdd

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdSub

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterNdUpdate

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Create

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Cross

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Flatten2D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Linspace

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesAs

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.SetShape

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ShapeN

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Size

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Split

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.Assign

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.any.IsMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assert

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinCount

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsFinite

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsInf

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.IsNaN

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.CheckNumerics

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cholesky

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpace

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BatchToSpaceND

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseAnd

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseOr

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.BitwiseXor

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicRShiftBits

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CyclicShiftBits

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.EqualTo

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThan

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.GreaterThanOrEqual

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InTopK

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNorm

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LayerNormBp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThan

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LessThanOrEqual

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ListDiff

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalAnd

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalNot

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogicalOr

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogMatrixDeterminant

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.LogSoftMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Max

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Min

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.NotEqualTo

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Pow

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseSequence

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.RShiftBits

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMean

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentMin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentProd

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.segment.SegmentSum

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ShiftBits

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SoftMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatch

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.SpaceToBatchND

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Svd

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.XwPlusB

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Zeta

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.RSqrt

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.floating.Sqrt

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative

Deprecated.

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative

Deprecated.

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative

Deprecated.

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative

Deprecated.

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative

Deprecated.

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative

Deprecated.

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative

Deprecated.

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HistogramFixedWidth

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IdentityN

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.NthElement

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.Axpy

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorDivOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FModOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MulOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RDivOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RealDivOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.RemainderOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SubOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryMinimalRelativeError

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.BinaryRelativeError

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.RelativeError

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.Set

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReluLayer

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Abs

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.AMin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Ceil

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Cube

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Floor

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Max

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Min

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Negative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.OneMinus

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Reciprocal

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Round

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Sign

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Square

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.TimesOneMinus

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cos

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Cosh

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erf

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Erfc

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Exp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Expm1

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.GELUDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Log1p

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.LogSigmoid

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Mish

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.MishDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELU

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.PreciseGELUDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RationalTanh

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Rint

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SELU

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SetRange

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sigmoid

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative

Deprecated.

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sin

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Sinh

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftPlus

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Stabilize

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Swish

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.SwishDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tan

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanDerivative

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh

tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative

Deprecated.

tensorflowName() - Method in class org.nd4j.linalg.api.ops.NoOp

tensorflowName() - Method in class org.nd4j.linalg.api.ops.persistence.RestoreV2

tensorflowName() - Method in class org.nd4j.linalg.api.ops.persistence.SaveV2

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomGamma

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomNormal

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomShuffle

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.Choice

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.RandomMultinomial

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.Range

tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

tensorflowNames() - Method in class org.nd4j.autodiff.functions.DifferentialFunction

The opName of this function tensorflow

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.custom.AdjustContrast

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.custom.DrawBoundingBoxes

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.custom.FusedBatchNorm

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppression

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.GatherNd

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySize

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySplit

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicStitch

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDeterminant

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiag

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixDiagPart

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixInverse

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MatrixSetDiag

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pad

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.CopyOp

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Identity

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.same.Reciprocal

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform

tensorflowNames() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomPoisson

TensorInfo - Class in org.tensorflow.framework

Information about a Tensor necessary for feeding or retrieval.

TensorInfo.Builder - Class in org.tensorflow.framework

Information about a Tensor necessary for feeding or retrieval.

TensorInfo.CooSparse - Class in org.tensorflow.framework

For sparse tensors, The COO encoding stores a triple of values, indices, and shape.

TensorInfo.CooSparse.Builder - Class in org.tensorflow.framework

For sparse tensors, The COO encoding stores a triple of values, indices, and shape.

TensorInfo.CooSparseOrBuilder - Interface in org.tensorflow.framework

TensorInfo.EncodingCase - Enum in org.tensorflow.framework

TensorInfoOrBuilder - Interface in org.tensorflow.framework

tensorMmul(String, SDVariable, SDVariable, int[], int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

//TODO: Ops must be documented.

tensorMmul(String, SDVariable, SDVariable, int[], int[], boolean, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

//TODO: Ops must be documented.

tensorMmul(SDVariable, SDVariable, int[], int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

//TODO: Ops must be documented.

tensorMmul(SDVariable, SDVariable, int[], int[], boolean, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

//TODO: Ops must be documented.

tensorMmul(INDArray, INDArray, int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Tensor matrix multiplication.

tensorMmul(INDArray, INDArray, int[], int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

//TODO: Ops must be documented.

tensorMmul(INDArray, INDArray, int[], int[], boolean, boolean, boolean) - Method in class org.nd4j.linalg.factory.ops.NDBase

//TODO: Ops must be documented.

tensorMmul(INDArray, INDArray, INDArray, int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j

Tensor matrix multiplication.

TensorMmul - Class in org.nd4j.linalg.api.ops.impl.reduce

TensorMmul

TensorMmul(SameDiff, SDVariable, SDVariable, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

TensorMmul(SameDiff, SDVariable, SDVariable, int[][], MMulTranspose) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

TensorMmul(SameDiff, SDVariable, SDVariable, int[], int[], boolean, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

TensorMmul(INDArray, INDArray, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

TensorMmul(INDArray, INDArray, int[], int[], boolean, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

TensorMmul(INDArray, INDArray, INDArray, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul

Initialize with the given input, pairwise transform, result, and number of elements

TensorMmulBp - Class in org.nd4j.linalg.api.ops.impl.reduce

TensorMmulBp() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

TensorMmulBp(SameDiff, SDVariable, SDVariable, SDVariable, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

TensorMmulBp(SameDiff, SDVariable, SDVariable, SDVariable, int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

TensorMmulBp(INDArray, INDArray, INDArray, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

TensorMmulBp(INDArray, INDArray, INDArray, int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

TensorMmulBp(INDArray, INDArray, INDArray, INDArray, INDArray, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

TensorMmulBp(INDArray, INDArray, INDArray, INDArray, INDArray, int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.TensorMmulBp

TensorNamespace - Class in org.nd4j.ir

TensorNamespace.DataType - Enum in org.nd4j.ir

Protobuf enum org.nd4j.ir.DataType

TensorNamespace.StringStringEntryProto - Class in org.nd4j.ir

StringStringEntryProto follows the pattern for cross-proto-version maps.

TensorNamespace.StringStringEntryProto.Builder - Class in org.nd4j.ir

StringStringEntryProto follows the pattern for cross-proto-version maps.

TensorNamespace.StringStringEntryProtoOrBuilder - Interface in org.nd4j.ir

TensorNamespace.TensorProto - Class in org.nd4j.ir

Tensors A serialized tensor value.

TensorNamespace.TensorProto.Builder - Class in org.nd4j.ir

Tensors A serialized tensor value.

TensorNamespace.TensorProto.DataLocation - Enum in org.nd4j.ir

Location of the data for this tensor.

TensorNamespace.TensorProto.Segment - Class in org.nd4j.ir

For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.

TensorNamespace.TensorProto.Segment.Builder - Class in org.nd4j.ir

For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.

TensorNamespace.TensorProto.SegmentOrBuilder - Interface in org.nd4j.ir

TensorNamespace.TensorProtoOrBuilder - Interface in org.nd4j.ir

TensorNamespace.TensorShapeProto - Class in org.nd4j.ir

Defines a tensor shape.

TensorNamespace.TensorShapeProto.Builder - Class in org.nd4j.ir

Defines a tensor shape.

TensorNamespace.TensorShapeProto.Dimension - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.TensorShapeProto.Dimension

TensorNamespace.TensorShapeProto.Dimension.Builder - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.TensorShapeProto.Dimension

TensorNamespace.TensorShapeProto.Dimension.ValueCase - Enum in org.nd4j.ir

TensorNamespace.TensorShapeProto.DimensionOrBuilder - Interface in org.nd4j.ir

TensorNamespace.TensorShapeProtoOrBuilder - Interface in org.nd4j.ir

TensorNamespace.TypeProto - Class in org.nd4j.ir

Define the types.

TensorNamespace.TypeProto.Builder - Class in org.nd4j.ir

Define the types.

TensorNamespace.TypeProto.TensorDescriptor - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.TypeProto.TensorDescriptor

TensorNamespace.TypeProto.TensorDescriptor.Builder - Class in org.nd4j.ir

Protobuf type org.nd4j.ir.TypeProto.TensorDescriptor

TensorNamespace.TypeProto.TensorDescriptorOrBuilder - Interface in org.nd4j.ir

TensorNamespace.TypeProto.ValueCase - Enum in org.nd4j.ir

TensorNamespace.TypeProtoOrBuilder - Interface in org.nd4j.ir

TensorNamespace.ValueInfoProto - Class in org.nd4j.ir

Defines information on value, including the name, the type, and the shape of the value.

TensorNamespace.ValueInfoProto.Builder - Class in org.nd4j.ir

Defines information on value, including the name, the type, and the shape of the value.

TensorNamespace.ValueInfoProtoOrBuilder - Interface in org.nd4j.ir

TensorProto - Class in org.tensorflow.framework

Protocol buffer representing a tensor.

TensorProto.Builder - Class in org.tensorflow.framework

Protocol buffer representing a tensor.

TensorProtoOrBuilder - Interface in org.tensorflow.framework

TensorProtos - Class in org.tensorflow.framework

TENSORS - onnx.Onnx.AttributeProto.AttributeType

TENSORS = 9;

TENSORS - onnx.OnnxMl.AttributeProto.AttributeType

TENSORS = 9;

TENSORS_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

TENSORS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

TENSORS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariantTensorDataProto

TENSORS_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

TENSORS = 9;

TENSORS_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

TENSORS = 9;

tensorsAlongDimension(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

tensorsAlongDimension(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the number of possible vectors for a given dimension

TensorShapeProto - Class in org.tensorflow.framework

Dimensions of a tensor.

TensorShapeProto.Builder - Class in org.tensorflow.framework

Dimensions of a tensor.

TensorShapeProto.Dim - Class in org.tensorflow.framework

One dimension of the tensor.

TensorShapeProto.Dim.Builder - Class in org.tensorflow.framework

One dimension of the tensor.

TensorShapeProto.DimOrBuilder - Interface in org.tensorflow.framework

TensorShapeProtoOrBuilder - Interface in org.tensorflow.framework

TensorShapeProtos - Class in org.tensorflow.framework

TensorSliceProto - Class in org.tensorflow.framework

Can only be interpreted if you know the corresponding TensorShape.

TensorSliceProto.Builder - Class in org.tensorflow.framework

Can only be interpreted if you know the corresponding TensorShape.

TensorSliceProto.Extent - Class in org.tensorflow.framework

Extent of the slice in one dimension.

TensorSliceProto.Extent.Builder - Class in org.tensorflow.framework

Extent of the slice in one dimension.

TensorSliceProto.Extent.HasLengthCase - Enum in org.tensorflow.framework

TensorSliceProto.ExtentOrBuilder - Interface in org.tensorflow.framework

TensorSliceProtoOrBuilder - Interface in org.tensorflow.framework

TensorSliceProtos - Class in org.tensorflow.framework

tensorsPerSlice(INDArray, int[]) - Static method in class org.nd4j.linalg.util.NDArrayMath

Computes the tensors per slice given a tensor shape and array

terminator - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

terminator - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

test - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

test(AbstractSession.ExecStep) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStepPredicate

TestCase - Class in org.nd4j.autodiff.validation

TestCase(SameDiff) - Constructor for class org.nd4j.autodiff.validation.TestCase

TestCase.TestSerialization - Enum in org.nd4j.autodiff.validation

TestDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator

TestDataSetIterator(List<DataSet>, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

TestDataSetIterator(DataSet) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

This makes an iterator from the given dataset and batchsize ONLY for use in tests in nd4j Initializes with a default batch of 5

TestDataSetIterator(DataSet, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

testEvaluation(UIListener.TestEvaluation) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

TestEvaluation() - Constructor for class org.nd4j.autodiff.listeners.impl.UIListener.TestEvaluation

testFold() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

TestMultiDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator

TestMultiDataSetIterator(int, MultiDataSet...) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

Makes an iterator from the given datasets.

testNameErrMsg() - Method in class org.nd4j.autodiff.validation.TestCase

TEXT - org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.OutputFormat

TFGraphMapper - Class in org.nd4j.imports.graphmapper.tf

TFGraphMapper() - Constructor for class org.nd4j.imports.graphmapper.tf.TFGraphMapper

TFGraphRunnerService - Interface in org.nd4j

TFImportOverride - Interface in org.nd4j.imports.tensorflow

TFImportStatus - Class in org.nd4j.imports.tensorflow

TFImportStatus() - Constructor for class org.nd4j.imports.tensorflow.TFImportStatus

TFOpImportFilter - Interface in org.nd4j.imports.tensorflow

tfTensor - Variable in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BaseTensorMapper

TFTensorMapper<J,B extends Buffer> - Interface in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMapper.ValueSource - Enum in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.BaseTensorMapper<T,U extends Buffer> - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.BFloat16TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.BoolTensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.Float16TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.Float32TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.Float64TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.Int16TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.Int32TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.Int64TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.Int8TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.StringTensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.UInt16TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.UInt32TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.UInt64TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

TFTensorMappers.UInt8TensorMapper - Class in org.nd4j.imports.graphmapper.tf.tensors

third() - Method in class org.nd4j.graph.IntTriple

third() - Method in class org.nd4j.graph.LongTriple

thread - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

thread - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

THREAD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

threadId - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

ThreadPoolOptionProto - Class in org.tensorflow.framework

Protobuf type tensorflow.ThreadPoolOptionProto

ThreadPoolOptionProto.Builder - Class in org.tensorflow.framework

Protobuf type tensorflow.ThreadPoolOptionProto

ThreadPoolOptionProtoOrBuilder - Interface in org.tensorflow.framework

ThreadSafeArrayHolder - Class in org.nd4j.autodiff.samediff.array

ThreadSafeArrayHolder(boolean) - Constructor for class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder

THRESHHOLD_RELU - org.nd4j.enums.CellAct

THRESHHOLD_RELU - org.nd4j.enums.GateAct

THRESHHOLD_RELU - org.nd4j.enums.OutAct

THRESHHOLD_RELU - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

threshold - Variable in class org.nd4j.linalg.api.ops.compression.EncodeBitmap

threshold - Variable in class org.nd4j.linalg.api.ops.compression.EncodeThreshold

THRESHOLD - org.nd4j.linalg.api.buffer.DataTypeEx

ThresholdCompression - Class in org.nd4j.linalg.compression

ThresholdCompression() - Constructor for class org.nd4j.linalg.compression.ThresholdCompression

thresholdDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

thresholdDecode(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method decodes thresholds array, and puts it into target array

THRESHOLDEDRELU - org.nd4j.linalg.activations.Activation

thresholdEncode(INDArray, double) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

thresholdEncode(INDArray, double) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method encodes array as thresholds, updating input array at the same time

thresholdEncode(INDArray, double, Integer) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

thresholdEncode(INDArray, double, Integer) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method encodes array as thresholds, updating input array at the same time

ThresholdRelu - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

ThresholdRelu() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ThresholdRelu

ThresholdRelu(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ThresholdRelu

ThresholdRelu(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ThresholdRelu

ThresholdRelu(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ThresholdRelu

ThresholdReluBp - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient

ThresholdReluBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.ThresholdReluBp

ThresholdReluBp(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.ThresholdReluBp

ThresholdReluBp(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.ThresholdReluBp

throwable - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

throwable - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

tile(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

see tile(String, SDVariable, int...)

tile(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Repeat (tile) the input tensor the specified number of times.
For example, if input is
[1, 2]
[3, 4]
and repeat is [2, 3]
then output is
[1, 2, 1, 2, 1, 2]
[3, 4, 3, 4, 3, 4]
[1, 2, 1, 2, 1, 2]
[3, 4, 3, 4, 3, 4]

tile(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

see tile(String, SDVariable, int...)

tile(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Repeat (tile) the input tensor the specified number of times.
For example, if input is
[1, 2]
[3, 4]
and repeat is [2, 3]
then output is
[1, 2, 1, 2, 1, 2]
[3, 4, 3, 4, 3, 4]
[1, 2, 1, 2, 1, 2]
[3, 4, 3, 4, 3, 4]

tile(INDArray, @lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

An alias for repmat

tile(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

see tile(String, SDVariable, int...)

tile(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Repeat (tile) the input tensor the specified number of times.
For example, if input is
[1, 2]
[3, 4]
and repeat is [2, 3]
then output is
[1, 2, 1, 2, 1, 2]
[3, 4, 3, 4, 3, 4]
[1, 2, 1, 2, 1, 2]
[3, 4, 3, 4, 3, 4]

Tile - Class in org.nd4j.linalg.api.ops.impl.shape

Tile() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile

Tile(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile

Tile(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile

Tile(INDArray[], INDArray[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile

Tile(INDArray[], INDArray[], int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile

Tile(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile

Tile(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile

TileBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp

TileBp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp

TileBp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp

TileBp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp

timeBlasCall() - Method in class org.nd4j.linalg.profiler.OpProfiler

TIMELINE_LABEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats

TIMELINE_STEP_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphOptions

timeOpCall(CustomOp, long) - Method in class org.nd4j.linalg.profiler.OpProfiler

timeOpCall(Op, long) - Method in class org.nd4j.linalg.profiler.OpProfiler

TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunOptions

times(double) - Method in class org.nd4j.autodiff.samediff.SDVariable

For Kotlin operator interop

times(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable

For Kotlin operator interop

TimeSet - Class in org.nd4j.linalg.profiler.data.primitives

TimeSet() - Constructor for class org.nd4j.linalg.profiler.data.primitives.TimeSet

timesOneMinus(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

out = in * (1-in)

TimesOneMinus - Class in org.nd4j.linalg.api.ops.impl.transforms.same

TimesOneMinus() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.TimesOneMinus

TimesOneMinus(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.TimesOneMinus

TimesOneMinus(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.TimesOneMinus

TimesOneMinus(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.TimesOneMinus

timestamp() - Method in class org.nd4j.graph.UIEvent

timestats() - Method in class org.nd4j.graph.FlatConfiguration

timing() - Method in class org.nd4j.graph.FlatTiming

timing(int) - Method in class org.nd4j.graph.FlatResult

timing(FlatTiming, int) - Method in class org.nd4j.graph.FlatResult

timing(LongPair) - Method in class org.nd4j.graph.FlatTiming

timingLength() - Method in class org.nd4j.graph.FlatResult

timingVector() - Method in class org.nd4j.graph.FlatResult

timingVector(FlatTiming.Vector) - Method in class org.nd4j.graph.FlatResult

TNS - org.nd4j.enums.LSTMDataFormat

TNS - org.nd4j.enums.RnnDataFormat

TNS - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDataFormat

TNS - org.nd4j.linalg.api.ops.impl.layers.recurrent.config.RnnDataFormat

TO_STRING_MAX_ELEMENTS - Static variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Deprecated.

Use ND4JSystemProperties.DATABUFFER_TO_STRING_MAX_ELEMENTS

TO_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorConnection

toArgs() - Method in class org.nd4j.autodiff.samediff.ControlFlow.LoopArgs

toArray() - Method in class org.nd4j.list.BaseNDArrayList

toArray() - Method in class org.nd4j.list.NDArrayList

toArray(ByteBuffer) - Static method in class org.nd4j.serde.binary.BinarySerde

Create an ndarray from the unsafe buffer

toArray(ByteBuffer, int) - Static method in class org.nd4j.serde.binary.BinarySerde

Create an ndarray from the unsafe buffer

toArray(T[]) - Method in class org.nd4j.list.BaseNDArrayList

toArray(T[]) - Method in class org.nd4j.list.NDArrayList

toArrayAndByteBuffer(ByteBuffer, int) - Static method in class org.nd4j.serde.binary.BinarySerde

Create an ndarray and existing bytebuffer

toBuffer(int...) - Static method in class org.nd4j.linalg.api.shape.Shape

Convert an array to a byte buffer

toBuilder() - Method in class onnx.Onnx.AttributeProto

toBuilder() - Method in class onnx.Onnx.FunctionProto

toBuilder() - Method in class onnx.Onnx.GraphProto

toBuilder() - Method in class onnx.Onnx.ModelProto

toBuilder() - Method in class onnx.Onnx.NodeProto

toBuilder() - Method in class onnx.Onnx.OperatorSetIdProto

toBuilder() - Method in class onnx.Onnx.SparseTensorProto

toBuilder() - Method in class onnx.Onnx.StringStringEntryProto

toBuilder() - Method in class onnx.Onnx.TensorAnnotation

toBuilder() - Method in class onnx.Onnx.TensorProto.Segment

toBuilder() - Method in class onnx.Onnx.TensorProto

toBuilder() - Method in class onnx.Onnx.TensorShapeProto.Dimension

toBuilder() - Method in class onnx.Onnx.TensorShapeProto

toBuilder() - Method in class onnx.Onnx.TrainingInfoProto

toBuilder() - Method in class onnx.Onnx.TypeProto.Map

toBuilder() - Method in class onnx.Onnx.TypeProto.Optional

toBuilder() - Method in class onnx.Onnx.TypeProto.Sequence

toBuilder() - Method in class onnx.Onnx.TypeProto.SparseTensor

toBuilder() - Method in class onnx.Onnx.TypeProto.Tensor

toBuilder() - Method in class onnx.Onnx.TypeProto

toBuilder() - Method in class onnx.Onnx.ValueInfoProto

toBuilder() - Method in class onnx.OnnxMl.AttributeProto

toBuilder() - Method in class onnx.OnnxMl.FunctionProto

toBuilder() - Method in class onnx.OnnxMl.GraphProto

toBuilder() - Method in class onnx.OnnxMl.ModelProto

toBuilder() - Method in class onnx.OnnxMl.NodeProto

toBuilder() - Method in class onnx.OnnxMl.OperatorSetIdProto

toBuilder() - Method in class onnx.OnnxMl.SparseTensorProto

toBuilder() - Method in class onnx.OnnxMl.StringStringEntryProto

toBuilder() - Method in class onnx.OnnxMl.TensorAnnotation

toBuilder() - Method in class onnx.OnnxMl.TensorProto.Segment

toBuilder() - Method in class onnx.OnnxMl.TensorProto

toBuilder() - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

toBuilder() - Method in class onnx.OnnxMl.TensorShapeProto

toBuilder() - Method in class onnx.OnnxMl.TrainingInfoProto

toBuilder() - Method in class onnx.OnnxMl.TypeProto.Map

toBuilder() - Method in class onnx.OnnxMl.TypeProto.Opaque

toBuilder() - Method in class onnx.OnnxMl.TypeProto.Optional

toBuilder() - Method in class onnx.OnnxMl.TypeProto.Sequence

toBuilder() - Method in class onnx.OnnxMl.TypeProto.SparseTensor

toBuilder() - Method in class onnx.OnnxMl.TypeProto.Tensor

toBuilder() - Method in class onnx.OnnxMl.TypeProto

toBuilder() - Method in class onnx.OnnxMl.ValueInfoProto

toBuilder() - Method in class onnx.OnnxOperators.OperatorProto

toBuilder() - Method in class onnx.OnnxOperators.OperatorSetProto

toBuilder() - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

toBuilder() - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

toBuilder() - Method in class org.nd4j.ir.MapperNamespace.MappingRule

toBuilder() - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

toBuilder() - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

toBuilder() - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

toBuilder() - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

toBuilder() - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

toBuilder() - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

toBuilder() - Method in class org.nd4j.ir.TensorNamespace.TensorProto

toBuilder() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

toBuilder() - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

toBuilder() - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

toBuilder() - Method in class org.nd4j.ir.TensorNamespace.TypeProto

toBuilder() - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

toBuilder() - Method in class org.tensorflow.distruntime.CleanupAllRequest

toBuilder() - Method in class org.tensorflow.distruntime.CleanupAllResponse

toBuilder() - Method in class org.tensorflow.distruntime.CleanupGraphRequest

toBuilder() - Method in class org.tensorflow.distruntime.CleanupGraphResponse

toBuilder() - Method in class org.tensorflow.distruntime.CloseSessionRequest

toBuilder() - Method in class org.tensorflow.distruntime.CloseSessionResponse

toBuilder() - Method in class org.tensorflow.distruntime.ClusterDef

toBuilder() - Method in class org.tensorflow.distruntime.CompleteGroupRequest

toBuilder() - Method in class org.tensorflow.distruntime.CompleteGroupResponse

toBuilder() - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

toBuilder() - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

toBuilder() - Method in class org.tensorflow.distruntime.CreateSessionRequest

toBuilder() - Method in class org.tensorflow.distruntime.CreateSessionResponse

toBuilder() - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

toBuilder() - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

toBuilder() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

toBuilder() - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

toBuilder() - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

toBuilder() - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

toBuilder() - Method in class org.tensorflow.distruntime.ExecutorOpts

toBuilder() - Method in class org.tensorflow.distruntime.ExtendSessionRequest

toBuilder() - Method in class org.tensorflow.distruntime.ExtendSessionResponse

toBuilder() - Method in class org.tensorflow.distruntime.GetStatusRequest

toBuilder() - Method in class org.tensorflow.distruntime.GetStatusResponse

toBuilder() - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

toBuilder() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

toBuilder() - Method in class org.tensorflow.distruntime.JobDef

toBuilder() - Method in class org.tensorflow.distruntime.LabeledStepStats

toBuilder() - Method in class org.tensorflow.distruntime.ListDevicesRequest

toBuilder() - Method in class org.tensorflow.distruntime.ListDevicesResponse

toBuilder() - Method in class org.tensorflow.distruntime.LoggingRequest

toBuilder() - Method in class org.tensorflow.distruntime.LoggingResponse

toBuilder() - Method in class org.tensorflow.distruntime.MakeCallableRequest

toBuilder() - Method in class org.tensorflow.distruntime.MakeCallableResponse

toBuilder() - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

toBuilder() - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

toBuilder() - Method in class org.tensorflow.distruntime.RecvBufRequest

toBuilder() - Method in class org.tensorflow.distruntime.RecvBufResponse

toBuilder() - Method in class org.tensorflow.distruntime.RecvTensorRequest

toBuilder() - Method in class org.tensorflow.distruntime.RecvTensorResponse

toBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphRequest

toBuilder() - Method in class org.tensorflow.distruntime.RegisterGraphResponse

toBuilder() - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

toBuilder() - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

toBuilder() - Method in class org.tensorflow.distruntime.ResetRequest

toBuilder() - Method in class org.tensorflow.distruntime.ResetResponse

toBuilder() - Method in class org.tensorflow.distruntime.RunCallableRequest

toBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse

toBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest

toBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse

toBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest

toBuilder() - Method in class org.tensorflow.distruntime.RunStepResponse

toBuilder() - Method in class org.tensorflow.distruntime.ServerDef

toBuilder() - Method in class org.tensorflow.distruntime.StepSequence

toBuilder() - Method in class org.tensorflow.distruntime.TraceOpts

toBuilder() - Method in class org.tensorflow.distruntime.TracingRequest

toBuilder() - Method in class org.tensorflow.distruntime.TracingResponse

toBuilder() - Method in class org.tensorflow.framework.AllocationDescription

toBuilder() - Method in class org.tensorflow.framework.AllocationRecord

toBuilder() - Method in class org.tensorflow.framework.AllocatorMemoryUsed

toBuilder() - Method in class org.tensorflow.framework.ApiDef.Arg

toBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr

toBuilder() - Method in class org.tensorflow.framework.ApiDef.Endpoint

toBuilder() - Method in class org.tensorflow.framework.ApiDef

toBuilder() - Method in class org.tensorflow.framework.ApiDefs

toBuilder() - Method in class org.tensorflow.framework.AssetFileDef

toBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue

toBuilder() - Method in class org.tensorflow.framework.AttrValue

toBuilder() - Method in class org.tensorflow.framework.AutoParallelOptions

toBuilder() - Method in class org.tensorflow.framework.CallableOptions

toBuilder() - Method in class org.tensorflow.framework.CollectionDef.AnyList

toBuilder() - Method in class org.tensorflow.framework.CollectionDef.BytesList

toBuilder() - Method in class org.tensorflow.framework.CollectionDef.FloatList

toBuilder() - Method in class org.tensorflow.framework.CollectionDef.Int64List

toBuilder() - Method in class org.tensorflow.framework.CollectionDef.NodeList

toBuilder() - Method in class org.tensorflow.framework.CollectionDef

toBuilder() - Method in class org.tensorflow.framework.CondContextDef

toBuilder() - Method in class org.tensorflow.framework.ConfigProto.Experimental

toBuilder() - Method in class org.tensorflow.framework.ConfigProto

toBuilder() - Method in class org.tensorflow.framework.ControlFlowContextDef

toBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

toBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

toBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node

toBuilder() - Method in class org.tensorflow.framework.CostGraphDef

toBuilder() - Method in class org.tensorflow.framework.CriticalSectionDef

toBuilder() - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

toBuilder() - Method in class org.tensorflow.framework.DebuggedSourceFile

toBuilder() - Method in class org.tensorflow.framework.DebuggedSourceFiles

toBuilder() - Method in class org.tensorflow.framework.DebugOptions

toBuilder() - Method in class org.tensorflow.framework.DebugTensorWatch

toBuilder() - Method in class org.tensorflow.framework.DeviceAttributes

toBuilder() - Method in class org.tensorflow.framework.DeviceLocality

toBuilder() - Method in class org.tensorflow.framework.DeviceStepStats

toBuilder() - Method in class org.tensorflow.framework.FunctionDef

toBuilder() - Method in class org.tensorflow.framework.FunctionDefLibrary

toBuilder() - Method in class org.tensorflow.framework.GPUOptions.Experimental

toBuilder() - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

toBuilder() - Method in class org.tensorflow.framework.GPUOptions

toBuilder() - Method in class org.tensorflow.framework.GradientDef

toBuilder() - Method in class org.tensorflow.framework.GraphDef

toBuilder() - Method in class org.tensorflow.framework.GraphOptions

toBuilder() - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

toBuilder() - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

toBuilder() - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

toBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo

toBuilder() - Method in class org.tensorflow.framework.GraphTransferNodeInfo

toBuilder() - Method in class org.tensorflow.framework.GraphTransferNodeInput

toBuilder() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

toBuilder() - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

toBuilder() - Method in class org.tensorflow.framework.HistogramProto

toBuilder() - Method in class org.tensorflow.framework.InterconnectLink

toBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

toBuilder() - Method in class org.tensorflow.framework.KernelDef

toBuilder() - Method in class org.tensorflow.framework.LocalLinks

toBuilder() - Method in class org.tensorflow.framework.MemoryLogRawAllocation

toBuilder() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

toBuilder() - Method in class org.tensorflow.framework.MemoryLogStep

toBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

toBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

toBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput

toBuilder() - Method in class org.tensorflow.framework.MemoryStats

toBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

toBuilder() - Method in class org.tensorflow.framework.MetaGraphDef

toBuilder() - Method in class org.tensorflow.framework.NameAttrList

toBuilder() - Method in class org.tensorflow.framework.NamedTensorProto

toBuilder() - Method in class org.tensorflow.framework.NodeDef

toBuilder() - Method in class org.tensorflow.framework.NodeExecStats

toBuilder() - Method in class org.tensorflow.framework.NodeOutput

toBuilder() - Method in class org.tensorflow.framework.OpDef.ArgDef

toBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef

toBuilder() - Method in class org.tensorflow.framework.OpDef

toBuilder() - Method in class org.tensorflow.framework.OpDeprecation

toBuilder() - Method in class org.tensorflow.framework.OpList

toBuilder() - Method in class org.tensorflow.framework.OptimizerOptions

toBuilder() - Method in class org.tensorflow.framework.QueueRunnerDef

toBuilder() - Method in class org.tensorflow.framework.ReaderBaseState

toBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

toBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

toBuilder() - Method in class org.tensorflow.framework.ResourceHandleProto

toBuilder() - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

toBuilder() - Method in class org.tensorflow.framework.RewriterConfig

toBuilder() - Method in class org.tensorflow.framework.RPCOptions

toBuilder() - Method in class org.tensorflow.framework.RunMetadata

toBuilder() - Method in class org.tensorflow.framework.RunOptions.Experimental

toBuilder() - Method in class org.tensorflow.framework.RunOptions

toBuilder() - Method in class org.tensorflow.framework.SavedModel

toBuilder() - Method in class org.tensorflow.framework.SaveSliceInfoDef

toBuilder() - Method in class org.tensorflow.framework.ScopedAllocatorOptions

toBuilder() - Method in class org.tensorflow.framework.SignatureDef

toBuilder() - Method in class org.tensorflow.framework.StepStats

toBuilder() - Method in class org.tensorflow.framework.Summary.Audio

toBuilder() - Method in class org.tensorflow.framework.Summary.Image

toBuilder() - Method in class org.tensorflow.framework.Summary

toBuilder() - Method in class org.tensorflow.framework.Summary.Value

toBuilder() - Method in class org.tensorflow.framework.SummaryDescription

toBuilder() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

toBuilder() - Method in class org.tensorflow.framework.SummaryMetadata

toBuilder() - Method in class org.tensorflow.framework.TensorConnection

toBuilder() - Method in class org.tensorflow.framework.TensorDescription

toBuilder() - Method in class org.tensorflow.framework.TensorInfo.CooSparse

toBuilder() - Method in class org.tensorflow.framework.TensorInfo

toBuilder() - Method in class org.tensorflow.framework.TensorProto

toBuilder() - Method in class org.tensorflow.framework.TensorShapeProto.Dim

toBuilder() - Method in class org.tensorflow.framework.TensorShapeProto

toBuilder() - Method in class org.tensorflow.framework.TensorSliceProto.Extent

toBuilder() - Method in class org.tensorflow.framework.TensorSliceProto

toBuilder() - Method in class org.tensorflow.framework.ThreadPoolOptionProto

toBuilder() - Method in class org.tensorflow.framework.ValuesDef

toBuilder() - Method in class org.tensorflow.framework.VariableDef

toBuilder() - Method in class org.tensorflow.framework.VariantTensorDataProto

toBuilder() - Method in class org.tensorflow.framework.VersionDef

toBuilder() - Method in class org.tensorflow.framework.WhileContextDef

toBuilder() - Method in class org.tensorflow.util.BundleEntryProto

toBuilder() - Method in class org.tensorflow.util.BundleHeaderProto

toBuilder() - Method in class org.tensorflow.util.IteratorStateMetadata

toBuilder() - Method in class org.tensorflow.util.SaverDef

toBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

toBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

toBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

toBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

toBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

toBuilder() - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

toBuilder() - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

toBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

toBuilder() - Method in class tensorflow.TransportOptions.RecvBufRespExtra

toByteArray(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Convert an ndarray to a byte array

toByteBuffer() - Method in class org.nd4j.linalg.compression.CompressionDescriptor

Return a direct allocated bytebuffer from the compression codec.

toByteBuffer(INDArray) - Static method in class org.nd4j.serde.binary.BinarySerde

Convert an ndarray to an unsafe buffer for use by aeron

toCompactString() - Method in class org.nd4j.linalg.heartbeat.reports.Environment

toCompactString() - Method in class org.nd4j.linalg.heartbeat.reports.Task

toCSV() - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

Outputs the ConfusionMatrix as comma-separated values for easy import into spreadsheets

toCustomOp() - Method in class org.nd4j.linalg.api.ops.BaseOp

toCustomOp() - Method in interface org.nd4j.linalg.api.ops.Op

Converts this op to be a CustomOp A CustomOp is a more flexible op meant for multiple inputs and outputs.

toDoubleMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toDoubleMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Convert this ndarray to a 2d double matrix.

toDoubleVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toDoubleVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Convert this ndarray to a 1d double matrix.

toFileString() - Method in class org.nd4j.autodiff.listeners.checkpoint.Checkpoint

toFlatArray(FlatBufferBuilder) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toFlatArray(FlatBufferBuilder) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Add an INDArray to flatbuffers builder

toFlattened(char, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a long row vector of all of the given ndarrays/

toFlattened(char, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a long row vector of all of the given ndarrays

toFlattened(char, Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Returns a flattened ndarray with all elements in each ndarray regardless of dimension.

toFlattened(char, INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

toFlattened(char, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Flatten all of the ndarrays in to one long vector

toFlattened(int, Iterator<? extends INDArray>...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

toFlattened(int, Iterator<? extends INDArray>...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Returns a flattened ndarray with all of the elements in each ndarray regardless of dimension

toFlattened(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a long row vector of all of the given ndarrays

toFlattened(Collection<INDArray>) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Returns a vector with all of the elements in every nd array equal to the sum of the lengths of the ndarrays

toFlattened(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a long row vector of all of the given ndarrays

toFlattened(Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

/** Returns a flattened ndarray with all of the elements in each ndarray regardless of dimension

toFlattened(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

toFlattened(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Flatten all of the ndarrays in to one long vector

toFloat(int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

toFloatMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toFloatMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Convert this ndarray to a 2d float matrix.

toFloatVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toFloatVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Convert this ndarray to a 1d float vector.

toFrameIter() - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession.VarId

toggleAveraging(boolean) - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

toggleAveraging(boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method enables/disables calculation of average time spent within loops Default: false

ToggleBits - Class in org.nd4j.linalg.api.ops.custom

ToggleBits() - Constructor for class org.nd4j.linalg.api.ops.custom.ToggleBits

ToggleBits(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.ToggleBits

ToggleBits(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.ToggleBits

ToggleBits(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.ToggleBits

togglePeriodicGc(boolean) - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager

togglePeriodicGc(boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryManager

This method enables/disables periodic GC

toggleWorkspaceUse(boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace

This method allows you to temporary disable/enable given Workspace use.

toggleWorkspaceUse(boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

This method allows to temporary disable this workspace, and issue allocations directly.

toggleWorkspaceUse(boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace

This method allows you to temporary disable/enable given Workspace use.

toHTML() - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

Outputs Confusion Matrix in an HTML table.

toInt() - Method in enum org.nd4j.linalg.api.buffer.DataType

toIntMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toIntMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Convert this ndarray to a 2d int matrix.

toInts(long[]) - Static method in class org.nd4j.linalg.util.LongUtils

toInts(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayUtil

Deprecated.

toIntVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toIntVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Convert this ndarray to a 1d int matrix.

toJson() - Method in class org.nd4j.autodiff.samediff.TrainingConfig

toJson() - Method in class org.nd4j.evaluation.BaseEvaluation

toJson() - Method in class org.nd4j.evaluation.curves.BaseCurve

toJson() - Method in class org.nd4j.evaluation.curves.BaseHistogram

toJson() - Method in interface org.nd4j.evaluation.IEvaluation

TOLERATE_DEBUG_OP_CREATION_FAILURES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DebugTensorWatch

toLongMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toLongMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Convert this ndarray to a 2d int matrix.

toLongs(int[]) - Static method in class org.nd4j.linalg.util.LongUtils

toLongs(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayUtil

Deprecated.

toLongVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toLongVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Convert this ndarray to a 1d long matrix.

toMmulCompatible(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

This method is used in DL4J LSTM implementation

toMultiDataSet() - Method in interface org.nd4j.linalg.dataset.api.DataSet

toMultiDataSet() - Method in class org.nd4j.linalg.dataset.DataSet

toNDArray() - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

toNDArray() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BaseTensorMapper

toNDArray(int[]) - Static method in class org.nd4j.linalg.util.NDArrayUtil

Deprecated.

toNDArray(int[][]) - Static method in class org.nd4j.linalg.util.NDArrayUtil

Deprecated.

toNDArray(long[]) - Static method in class org.nd4j.linalg.util.NDArrayUtil

Deprecated.

toNpyByteArray(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Converts an INDArray to a byte array

toOffsetZero(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

Create a copy of the matrix where the new offset is zero

toOffsetZeroCopy(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

Create a copy of the ndarray where the new offset is zero

toOffsetZeroCopy(INDArray, char) - Static method in class org.nd4j.linalg.api.shape.Shape

Create a copy of the ndarray where the new offset is zero, and has specified order

toOffsetZeroCopyAnyOrder(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

Create a copy of the ndarray where the new offset is zero.

toOutcomeMatrix(int[], long) - Static method in class org.nd4j.linalg.util.FeatureUtil

Creates an out come vector from the specified inputs

toOutcomeVector(long, long) - Static method in class org.nd4j.linalg.util.FeatureUtil

Creates an out come vector from the specified inputs

topK(String[], SDVariable, double, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Find values and indices for the largest k entries along the last dimension.

topK(SDVariable, double, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDNN

Find values and indices for the largest k entries along the last dimension.

topK(INDArray, double, boolean) - Method in class org.nd4j.linalg.factory.ops.NDNN

Find values and indices for the largest k entries along the last dimension.

TopK - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

TopK() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

TopK(SameDiff, SDVariable, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

TopK(SameDiff, SDVariable, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

TopK(INDArray, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.TopK

topLevelDir - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

topLevelDir - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

topLevelDir() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

topLevelDir() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

topLevelDir() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

The top level directory to download datasets from This will usually be the default dl4j resources directory at user home/.deeplearning4j

topN - Variable in class org.nd4j.evaluation.classification.Evaluation

topNAccuracy() - Method in class org.nd4j.evaluation.classification.Evaluation

Top N accuracy of the predictions so far.

topNCorrectCount - Variable in class org.nd4j.evaluation.classification.Evaluation

topNTotalCount - Variable in class org.nd4j.evaluation.classification.Evaluation

toProperties() - Method in class org.nd4j.linalg.api.blas.params.MMulTranspose

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv2DConfig

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv3DConfig

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.LocalResponseNormalizationConfig

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling2DConfig

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling3DConfig

toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration

toProperties(boolean) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMConfiguration

toProperties(boolean, boolean) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMLayerConfig

toResult(List<T>) - Method in interface org.nd4j.evaluation.custom.ResultLambda

toString() - Method in class org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.OpExec

toString() - Method in class org.nd4j.autodiff.samediff.config.SDValue

toString() - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStep

toString() - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession.VarId

toString() - Method in class org.nd4j.autodiff.samediff.internal.FrameIter

toString() - Method in class org.nd4j.autodiff.samediff.internal.InferenceSession.OpDep

toString() - Method in class org.nd4j.autodiff.samediff.NameScope

toString() - Method in class org.nd4j.autodiff.samediff.SameDiff

toString() - Method in class org.nd4j.autodiff.samediff.SDVariable

toString() - Method in class org.nd4j.evaluation.BaseEvaluation

toString() - Method in class org.nd4j.evaluation.classification.ConfusionMatrix

toString() - Method in class org.nd4j.evaluation.classification.ROC

toString() - Method in class org.nd4j.evaluation.meta.Prediction

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationCube

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationELU

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationGELU

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationMish

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationPReLU

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationReLU

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationReLU6

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSELU

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSwish

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationTanH

toString() - Method in class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU

toString() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

toString() - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

toString() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Generate string representation of the matrix.

toString() - Method in class org.nd4j.linalg.api.ops.BaseOp

toString() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp

toString() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack

toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat

toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGather

toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatter

toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArraySplit

toString() - Method in class org.nd4j.linalg.api.shape.LongShapeDescriptor

toString() - Method in class org.nd4j.linalg.api.shape.ShapeDescriptor

toString() - Method in class org.nd4j.linalg.dataset.DataSet

toString() - Method in class org.nd4j.linalg.dataset.MultiDataSet

toString() - Method in class org.nd4j.linalg.factory.Nd4jBackend

toString() - Method in class org.nd4j.linalg.indexing.IntervalIndex

toString() - Method in class org.nd4j.linalg.indexing.NDArrayIndex

toString() - Method in class org.nd4j.linalg.indexing.NDArrayIndexAll

toString() - Method in class org.nd4j.linalg.indexing.NewAxis

toString() - Method in class org.nd4j.linalg.indexing.PointIndex

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossSparseMCXENT

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossWasserstein

toString() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor

toString() - Method in class org.nd4j.list.BaseNDArrayList

toString() - Method in class org.nd4j.list.NDArrayList

toString() - Method in class org.nd4j.systeminfo.GPUInfo

toString(long, boolean, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toString(long, boolean, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get a string representation of the array

toString(NDArrayStrings) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toString(NDArrayStrings) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get a string representation of the array with configurable formatting

toString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

To String for an int buffer

toString(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

To String for an int buffer

toStringD(D) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

toStringD(D) - Method in class org.nd4j.autodiff.samediff.internal.DependencyTracker

toStringD(D) - Method in class org.nd4j.autodiff.samediff.internal.IdentityDependencyTracker

toStringD(D) - Method in class org.nd4j.autodiff.samediff.internal.memory.HashDependencyTracker

toStringFull() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

toStringFull() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

ToString with unlimited elements and precision

toStringT(SDValue) - Method in class org.nd4j.autodiff.samediff.internal.memory.HashDependencyTracker

toStringT(T) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker

toStringT(T) - Method in class org.nd4j.autodiff.samediff.internal.DependencyTracker

toStringT(T) - Method in class org.nd4j.autodiff.samediff.internal.IdentityDependencyTracker

TOTAL_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed

totalCount(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the total number of values for the specified column, accounting for any masking

totalExamples - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

totalExamples() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

The total number of examples

totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

Returns total number of examples in the dataset (all k folds)

totalLoss() - Method in class org.nd4j.autodiff.listeners.Loss

totalOutcomes() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator

totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

totalOutcomes() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

The number of labels for the dataset

totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

totalOutcomes() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

The number of labels for a dataset

totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

The number of labels for the dataset

totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

totalOutcomes() - Method in class org.nd4j.linalg.dataset.AsyncDataSetIterator

The number of labels for the dataset

totalOutcomes() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

totalOutcomes() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

totalOutcomes() - Method in class org.nd4j.linalg.dataset.ViewIterator

totalsIncrement() - Method in class org.nd4j.linalg.profiler.data.StringCounter

touch(DataBuffer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

Utility method, to associate INDArray with specific device (backend-specific)

touch(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

Utility method, to associate INDArray with specific device (backend-specific)

toVarId() - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStep

toVarId(String) - Method in class org.nd4j.autodiff.samediff.internal.FrameIter

toVarType(VariableType) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper

toYaml() - Method in class org.nd4j.evaluation.BaseEvaluation

toYaml() - Method in class org.nd4j.evaluation.curves.BaseCurve

toYaml() - Method in class org.nd4j.evaluation.curves.BaseHistogram

toYaml() - Method in interface org.nd4j.evaluation.IEvaluation

TP_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

TP_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

tpmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

tpmv computes a matrix-vector product using a triangular packed matrix.

tpmv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

tpmv computes a matrix-vector product using a triangular packed matrix.

tpsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

tpsv solves a system of linear equations whose coefficients are in a triangular packed matrix.

tpsv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

tpsv solves a system of linear equations whose coefficients are in a triangular packed matrix.

trace(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Matrix trace operation
For rank 2 matrices, the output is a scalar with the trace - i.e., sum of the main diagonal.
For higher rank inputs, output[a,b,c] = trace(in[a,b,c,:,:])

trace(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Matrix trace operation
For rank 2 matrices, the output is a scalar with the trace - i.e., sum of the main diagonal.
For higher rank inputs, output[a,b,c] = trace(in[a,b,c,:,:])

trace(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Matrix trace operation
For rank 2 matrices, the output is a scalar with the trace - i.e., sum of the main diagonal.
For higher rank inputs, output[a,b,c] = trace(in[a,b,c,:,:])

Trace - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Trace() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Trace

Trace(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Trace

Trace(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Trace

TRACE_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RunOptions

TraceEvent - Class in org.nd4j.autodiff.listeners.profiler.data

TraceEvent() - Constructor for class org.nd4j.autodiff.listeners.profiler.data.TraceEvent

TraceEvents - Class in org.nd4j.autodiff.listeners.profiler.data

TraceEvents() - Constructor for class org.nd4j.autodiff.listeners.profiler.data.TraceEvents

TraceOpts - Class in org.tensorflow.distruntime

Protobuf type tensorflow.TraceOpts

TraceOpts.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.TraceOpts

TraceOptsOrBuilder - Interface in org.tensorflow.distruntime

TracingRequest - Class in org.tensorflow.distruntime

Out-of-band request to configure distributed tracing.

TracingRequest.Builder - Class in org.tensorflow.distruntime

Out-of-band request to configure distributed tracing.

TracingRequestOrBuilder - Interface in org.tensorflow.distruntime

TracingResponse - Class in org.tensorflow.distruntime

Protobuf type tensorflow.TracingResponse

TracingResponse.Builder - Class in org.tensorflow.distruntime

Protobuf type tensorflow.TracingResponse

TracingResponseOrBuilder - Interface in org.tensorflow.distruntime

trackerForDevice(Integer) - Method in class org.nd4j.linalg.api.memory.AllocationsTracker

train - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

train(DataSetIterator) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the training data

train(DataSetIterator, int) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the training data and number of epochs

train(MultiDataSetIterator) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the training data

train(MultiDataSetIterator, int) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the training data and number of epochs

TRAINABLE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef

trainAccuracy(String, int) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

trainEvalFrequency(int) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

trainEvaluation(String, int, IEvaluation...) - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations.Builder

Add requested training evaluations for a parm/variable

trainEvaluation(String, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Add requested History training evaluations for a parm/variable.

trainEvaluation(SDVariable, int, IEvaluation...) - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations.Builder

Add requested training evaluations for a parm/variable

trainEvaluation(SDVariable, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Add requested History training evaluations for a parm/variable.

trainEvaluationLabels() - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations

Get the label indices for the requested training evaluations

trainEvaluationMetrics(String, int, Evaluation.Metric...) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

trainEvaluations() - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations

Get the requested training evaluations

trainF1(String, int) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

TRAINING - org.nd4j.autodiff.listeners.Operation

The training operation: SameDiff.fit() methods training step (everything except validation).

TRAINING - org.nd4j.linalg.api.ops.ExecutionMode

TRAINING_INFO_FIELD_NUMBER - Static variable in class onnx.Onnx.ModelProto

TRAINING_INFO_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ModelProto

TRAINING_VALIDATION - org.nd4j.autodiff.listeners.Operation

The training validation operation: the validation step during SameDiff.fit() methods.

trainingConfig() - Method in class org.nd4j.graph.FlatGraph

TrainingConfig - Class in org.nd4j.autodiff.samediff

TrainingConfig(IUpdater, List<Regularization>, boolean, List<String>, List<String>, List<String>, List<String>, List<String>, Map<String, List<IEvaluation>>, Map<String, Integer>, Map<String, List<IEvaluation>>, Map<String, Integer>, DataType) - Constructor for class org.nd4j.autodiff.samediff.TrainingConfig

TrainingConfig(IUpdater, List<Regularization>, boolean, List<String>, List<String>, List<String>, List<String>, List<String>, DataType) - Constructor for class org.nd4j.autodiff.samediff.TrainingConfig

Create a training configuration suitable for training both single input/output and multi input/output networks.
See also the TrainingConfig.Builder for creating a TrainingConfig

TrainingConfig(IUpdater, List<Regularization>, String, String) - Constructor for class org.nd4j.autodiff.samediff.TrainingConfig

Create a training configuration suitable for training a single input, single output network.
See also the TrainingConfig.Builder for creating a TrainingConfig

TrainingConfig.Builder - Class in org.nd4j.autodiff.samediff

trainingConfigAsByteBuffer() - Method in class org.nd4j.graph.FlatGraph

trainingConfigInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.FlatGraph

trainingEpochs() - Method in class org.nd4j.autodiff.listeners.records.History

Get the number of epochs trained for

trainingEval() - Method in class org.nd4j.autodiff.listeners.records.History

Get the training evaluations

trainingEval(String) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a training evaluation on a given parameter Only works if there is only one evaluation for param.

trainingEval(String, int) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a training evaluation on a given parameter at a given index Note that it returns all recorded evaluations.

trainingEval(String, int, IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a training evaluation on a given parameter at a given index, for a given metric Note that it returns all recorded evaluations.

trainingEval(String, IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a training evaluation on a given parameter for a given metric Only works if there is only one evaluation with the given metric for param

trainingEval(SDVariable) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a training evaluation on a given parameter Only works if there is only one evaluation for param.

trainingEval(SDVariable, int) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a training evaluation on a given parameter at a given index Note that it returns all recorded evaluations.

trainingEval(SDVariable, int, IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a training evaluation on a given parameter at a given index, for a given metric Note that it returns all recorded evaluations.

trainingEval(SDVariable, IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a training evaluation on a given parameter for a given metric Only works if there is only one evaluation with the given metric for param

trainingEval(IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a training evaluation for a given metric Only works if there is only one evaluation with the given metric

trainingEvaluations(int) - Method in class org.nd4j.autodiff.listeners.records.History

Gets the evaluation record for a given epoch.

trainingIteration(TrainingConfig, Map<String, INDArray>, Set<String>, Map<String, GradientUpdater>, MultiDataSet, List<String>, List<Listener>, At) - Method in class org.nd4j.autodiff.samediff.internal.TrainingSession

Perform one iteration of training - i.e., do forward and backward passes, and update the parameters

TrainingSession - Class in org.nd4j.autodiff.samediff.internal

TrainingSession(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.internal.TrainingSession

trainingThreadNum() - Method in class org.nd4j.autodiff.listeners.At

trainingTimeMillis() - Method in class org.nd4j.autodiff.listeners.records.History

Get the total training time, in milliseconds

TrainingUtils - Class in org.nd4j.autodiff.util

Utilities for SameDiff training and inference

TrainingUtils() - Constructor for class org.nd4j.autodiff.util.TrainingUtils

trainingVariables() - Method in class org.nd4j.autodiff.listeners.ListenerVariables

Get required training variables

trainingVariables(String...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for training

trainingVariables(SDVariable...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for training

transform(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer

transform(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid

Transform the dataset

transform(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Transform the given INDArray

transform(INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Transform the dataset

transform(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

transform(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

transform(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

transform(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Transform the features, with an optional mask array

transform(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

transform(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

transform(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Transform the given dataset

transform(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

Transform the data

transform(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

Transform the data

transform(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler

transform(DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

Transform the data

transform(T) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer

Transform the dataset

TRANSFORM - Static variable in class org.nd4j.graph.OpClass

TRANSFORM_ANY - org.nd4j.linalg.api.ops.Op.Type

TRANSFORM_ANY - Static variable in class org.nd4j.graph.OpType

TRANSFORM_BOOL - org.nd4j.linalg.api.ops.Op.Type

TRANSFORM_BOOL - Static variable in class org.nd4j.graph.OpType

TRANSFORM_FLOAT - org.nd4j.linalg.api.ops.Op.Type

TRANSFORM_FLOAT - Static variable in class org.nd4j.graph.OpType

TRANSFORM_SAME - org.nd4j.linalg.api.ops.Op.Type

TRANSFORM_SAME - Static variable in class org.nd4j.graph.OpType

TRANSFORM_STRICT - org.nd4j.linalg.api.ops.Op.Type

TRANSFORM_STRICT - Static variable in class org.nd4j.graph.OpType

transformAnyOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

TransformBoolOp - Interface in org.nd4j.linalg.api.ops

transformBoolOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

TRANSFORMERARGS_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MappingRule

TRANSFORMERARGS_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.TransformerArgs

transformFloatingOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

TransformFloatOp - Interface in org.nd4j.linalg.api.ops

transformLabel(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

Transform the labels.

transformLabel(INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Transform the labels.

transformLabel(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

transformLabel(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

transformLabel(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

transformLabel(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Transform the labels.

transformLabel(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

transformLabel(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

TransformOp - Interface in org.nd4j.linalg.api.ops

Transform operation: stores the result in an ndarray

Transforms - Class in org.nd4j.linalg.ops.transforms

TransformSameOp - Interface in org.nd4j.linalg.api.ops

transformSameOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

TransformStrictOp - Interface in org.nd4j.linalg.api.ops

transformStrictOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

TRANSPORT_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufRequest

TRANSPORT_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvBufResponse

TRANSPORT_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorRequest

TRANSPORT_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.RecvTensorResponse

TransportOptions - Class in tensorflow

TransportOptions.RecvBufRespExtra - Class in tensorflow

Extra data needed on a non-RDMA RecvBufResponse.

TransportOptions.RecvBufRespExtra.Builder - Class in tensorflow

Extra data needed on a non-RDMA RecvBufResponse.

TransportOptions.RecvBufRespExtraOrBuilder - Interface in tensorflow

transpose() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

transpose() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Flip the rows and columns of a matrix

transpose(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix transpose operation: If input has shape [a,b] output has shape [b,a]

transpose(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Matrix transpose operation: If input has shape [a,b] output has shape [b,a]

transpose(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Matrix transpose operation: If input has shape [a,b] output has shape [b,a]

Transpose - Class in org.nd4j.linalg.api.ops.impl.shape

Transpose() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose

Transpose(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose

Transpose(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose

Transpose(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose

Transpose(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose

Transpose(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose

transposeA - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

transposeB - Variable in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul

transposei() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Return transposed version of this matrix.

transposei() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Flip the rows and columns of a matrix, in-place

transposeShapeArray(long[]) - Method in class org.nd4j.linalg.api.ops.impl.reduce.Mmul

For a 2D matrix of shape (M, N) we return (N, M).

traverse(int, boolean) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode

tri(int) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.tri(int,int,int) with m = n, k=0.

tri(int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

An array with ones at and below the given diagonal and zeros elsewhere.

tri(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.tri(int,int,int) with m = n.

tri(int, int) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

An array with ones at and below the given diagonal and zeros elsewhere.

tri(int, int, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Like the scipy function tri.

tri(String, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

An array with ones at and below the given diagonal and zeros elsewhere.

tri(String, DataType, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

An array with ones at and below the given diagonal and zeros elsewhere.

tri(DataType, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

An array with ones at and below the given diagonal and zeros elsewhere.

tri(DataType, int, int, int) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

An array with ones at and below the given diagonal and zeros elsewhere.

Tri - Class in org.nd4j.linalg.api.ops.custom

Tri(int, int, int) - Constructor for class org.nd4j.linalg.api.ops.custom.Tri

Tri(SameDiff, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.custom.Tri

Tri(SameDiff, DataType, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.custom.Tri

Tri(DataType, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.custom.Tri

triangularSolve(String, SDVariable, SDVariable, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for systems of linear questions.

triangularSolve(SDVariable, SDVariable, boolean, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Solver for systems of linear questions.

triangularSolve(INDArray, INDArray, boolean, boolean) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Solver for systems of linear questions.

TriangularSolve - Class in org.nd4j.linalg.api.ops.custom

TriangularSolve(SameDiff, SDVariable, SDVariable, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.TriangularSolve

TriangularSolve(SameDiff, SDVariable, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.TriangularSolve

TriangularSolve(INDArray, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.custom.TriangularSolve

trimmedMode - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

trimmedStep - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

triu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Upper triangle of an array.

triu(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Upper triangle of an array.

triu(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Upper triangle of an array.

triu(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDLinalg

Upper triangle of an array.

triu(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Upper triangle of an array.

triu(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Upper triangle of an array.

triu(INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDLinalg

Upper triangle of an array.

Triu - Class in org.nd4j.linalg.api.ops.custom

Triu(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.Triu

Triu(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.custom.Triu

Triu(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.custom.Triu

TriuBp - Class in org.nd4j.linalg.api.ops.custom

TriuBp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.TriuBp

TriuBp(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.custom.TriuBp

trmm(char, char, char, char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

syr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations: c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n' c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't', where c is an n-by-n symmetric matrix; a and b are n-by-k matrices, if trans = 'N'or'n', a and b are k-by-n matrices, if trans = 'T'or't'.

trmm(char, char, char, char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3

syr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations: c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n' c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't', where c is an n-by-n symmetric matrix; a and b are n-by-k matrices, if trans = 'N'or'n', a and b are k-by-n matrices, if trans = 'T'or't'.

trmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

trmv computes a matrix-vector product using a triangular matrix.

trmv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

trmv computes a matrix-vector product using a triangular matrix.

trsm(char, char, char, char, char, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

?trsm solves one of the following matrix equations: op(a)*x = alpha*b or x*op(a) = alpha*b, where x and b are m-by-n general matrices, and a is triangular; op(a) must be an m-by-m matrix, if side = 'L'or'l' op(a) must be an n-by-n matrix, if side = 'R'or'r'.

trsm(char, char, char, char, char, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3

?trsm solves one of the following matrix equations: op(a)*x = alpha*b or x*op(a) = alpha*b, where x and b are m-by-n general matrices, and a is triangular; op(a) must be an m-by-m matrix, if side = 'L'or'l' op(a) must be an n-by-n matrix, if side = 'R'or'r'.

trsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

trsv solves a system of linear equations whose coefficients are in a triangular matrix.

trsv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2

trsv solves a system of linear equations whose coefficients are in a triangular matrix.

trueNegatives - Variable in class org.nd4j.evaluation.classification.Evaluation

trueNegatives() - Method in class org.nd4j.evaluation.classification.Evaluation

True negatives: correctly rejected

trueNegatives(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the true negatives count for the specified output

truePositives - Variable in class org.nd4j.evaluation.classification.Evaluation

truePositives() - Method in class org.nd4j.evaluation.classification.Evaluation

True positives: correctly rejected

truePositives(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary

Get the true positives count for the specified output

TruncateDivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

TruncateDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp

TruncateDivOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp

TruncateDivOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp

TruncateDivOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp

TruncatedNormalDistribution - Class in org.nd4j.linalg.api.ops.random.impl

TruncatedNormalDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl

TruncatedNormalDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

TruncatedNormalDistribution() - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Create a normal distribution with mean equal to zero and standard deviation equal to one.

TruncatedNormalDistribution(double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Create a normal distribution using the given mean and standard deviation.

TruncatedNormalDistribution(double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.

TruncatedNormalDistribution(double, double, DataType, long...) - Constructor for class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

TruncatedNormalDistribution(double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

TruncatedNormalDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

This op fills Z with random values within -1.0..0..1.0

TruncatedNormalDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

This op fills Z with random values within stddev..0..stddev

TruncatedNormalDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

This op fills Z with random values within stddev..mean..stddev boundaries

TruncatedNormalDistribution(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

TruncatedNormalDistribution(SameDiff, double, double, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

TruncatedNormalDistribution(SameDiff, double, double, DataType, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution

TruncatedNormalDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

TruncatedNormalDistribution(Random, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

TruncatedNormalDistribution(Random, double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

Creates a normal distribution.

TruncatedNormalDistribution(Random, double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution

TUNING_METRIC - org.nd4j.graph.ui.LogFileWriter.EventSubtype

TUNING_METRIC - Static variable in class org.nd4j.graph.UIEventSubtype

TWO - org.tensorflow.framework.RewriterConfig.NumIterationsType

TWO = 2;

TWO_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

TWO = 2;

type - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession.ExecStep

type - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

type() - Method in class org.nd4j.graph.UIHistogram

type() - Method in class org.nd4j.graph.UIVariable

type() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

type() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns type for this executioner instance

type() - Method in class org.nd4j.weightinit.impl.ConstantInitScheme

type() - Method in class org.nd4j.weightinit.impl.DistributionInitScheme

type() - Method in class org.nd4j.weightinit.impl.IdentityInitScheme

type() - Method in class org.nd4j.weightinit.impl.LecunUniformInitScheme

type() - Method in class org.nd4j.weightinit.impl.NDArraySupplierInitScheme

type() - Method in class org.nd4j.weightinit.impl.OneInitScheme

type() - Method in class org.nd4j.weightinit.impl.ReluInitScheme

type() - Method in class org.nd4j.weightinit.impl.ReluUniformInitScheme

type() - Method in class org.nd4j.weightinit.impl.SigmoidUniformInitScheme

type() - Method in class org.nd4j.weightinit.impl.UniformInitScheme

type() - Method in class org.nd4j.weightinit.impl.VarScalingNormalFanAvgInitScheme

type() - Method in class org.nd4j.weightinit.impl.VarScalingNormalFanInInitScheme

type() - Method in class org.nd4j.weightinit.impl.VarScalingNormalFanOutInitScheme

type() - Method in class org.nd4j.weightinit.impl.VarScalingNormalUniformFanInInitScheme

type() - Method in class org.nd4j.weightinit.impl.VarScalingNormalUniformFanOutInitScheme

type() - Method in class org.nd4j.weightinit.impl.VarScalingUniformFanAvgInitScheme

type() - Method in class org.nd4j.weightinit.impl.XavierFanInInitScheme

type() - Method in class org.nd4j.weightinit.impl.XavierInitScheme

type() - Method in class org.nd4j.weightinit.impl.XavierUniformInitScheme

type() - Method in class org.nd4j.weightinit.impl.ZeroInitScheme

type() - Method in interface org.nd4j.weightinit.WeightInitScheme

The type of the weight init

TYPE - org.tensorflow.framework.AttrValue.ValueCase

TYPE_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef

TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.ValueInfoProto

TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.ValueInfoProto

TYPE_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.ValueInfoProto

TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.CompleteInstanceRequest

TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue

TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue

TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.InterconnectLink

TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef

TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef

TYPE_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

TYPE_HINT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryDescription

TYPE_LIST_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef

TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferNodeInfo

TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariantTensorDataProto

TYPE_PROTO - onnx.Onnx.AttributeProto.AttributeType

TYPE_PROTO = 13;

TYPE_PROTO - onnx.OnnxMl.AttributeProto.AttributeType

TYPE_PROTO = 13;

TYPE_PROTO_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

TYPE_PROTO = 13;

TYPE_PROTO_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

TYPE_PROTO = 13;

TYPE_PROTOS - onnx.Onnx.AttributeProto.AttributeType

TYPE_PROTOS = 14;

TYPE_PROTOS - onnx.OnnxMl.AttributeProto.AttributeType

TYPE_PROTOS = 14;

TYPE_PROTOS_FIELD_NUMBER - Static variable in class onnx.Onnx.AttributeProto

TYPE_PROTOS_FIELD_NUMBER - Static variable in class onnx.OnnxMl.AttributeProto

TYPE_PROTOS_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

TYPE_PROTOS = 14;

TYPE_PROTOS_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

TYPE_PROTOS = 14;

TypesProtos - Class in org.tensorflow.framework

U

U_STATE - Static variable in class org.nd4j.linalg.learning.AdaMaxUpdater

UBYTE - org.nd4j.linalg.api.buffer.DataType

Deprecated.

Replaced by DataType.UINT8, use that instead

UIAddName - Class in org.nd4j.graph

UIAddName() - Constructor for class org.nd4j.graph.UIAddName

UIAddName.Vector - Class in org.nd4j.graph

UIEvent - Class in org.nd4j.graph

UIEvent() - Constructor for class org.nd4j.graph.UIEvent

UIEvent.Vector - Class in org.nd4j.graph

UIEventSubtype - Class in org.nd4j.graph

UIEventType - Class in org.nd4j.graph

UIGraphStructure - Class in org.nd4j.graph

UIGraphStructure() - Constructor for class org.nd4j.graph.UIGraphStructure

UIGraphStructure.Vector - Class in org.nd4j.graph

UIHardwareState - Class in org.nd4j.graph

UIHardwareState() - Constructor for class org.nd4j.graph.UIHardwareState

UIHardwareState.Vector - Class in org.nd4j.graph

UIHistogram - Class in org.nd4j.graph

UIHistogram() - Constructor for class org.nd4j.graph.UIHistogram

UIHistogram.Vector - Class in org.nd4j.graph

UIHistogramType - Class in org.nd4j.graph

UIInfoType - Class in org.nd4j.graph

uiLabelExtra() - Method in class org.nd4j.graph.UIOp

uiLabelExtra() - Method in class org.nd4j.graph.UIVariable

uiLabelExtraAsByteBuffer() - Method in class org.nd4j.graph.UIOp

uiLabelExtraAsByteBuffer() - Method in class org.nd4j.graph.UIVariable

uiLabelExtraInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIOp

uiLabelExtraInByteBuffer(ByteBuffer) - Method in class org.nd4j.graph.UIVariable

UIListener - Class in org.nd4j.autodiff.listeners.impl

UIListener.Builder - Class in org.nd4j.autodiff.listeners.impl

UIListener.FileMode - Enum in org.nd4j.autodiff.listeners.impl

Default: FileMode.CREATE_OR_APPEND
The mode for handling behaviour when an existing UI file already exists
CREATE: Only allow new file creation.

UIListener.HistogramType - Enum in org.nd4j.autodiff.listeners.impl

Used to specify which histograms should be collected.

UIListener.TestEvaluation - Class in org.nd4j.autodiff.listeners.impl

UIListener.UpdateRatio - Enum in org.nd4j.autodiff.listeners.impl

Used to specify how the Update:Parameter ratios are computed.

UINT16 - onnx.Onnx.TensorProto.DataType

uint16_t

UINT16 - onnx.OnnxMl.TensorProto.DataType

uint16_t

UINT16 - org.nd4j.ir.TensorNamespace.DataType

uint16_t

UINT16 - org.nd4j.linalg.api.buffer.DataType

UINT16 - org.nd4j.linalg.api.buffer.DataTypeEx

UINT16 - Static variable in class org.nd4j.graph.DType

UINT16_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

uint16_t

UINT16_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

uint16_t

UINT16_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

uint16_t

UInt16TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt16TensorMapper

UINT32 - onnx.Onnx.TensorProto.DataType

UINT32 = 12;

UINT32 - onnx.OnnxMl.TensorProto.DataType

UINT32 = 12;

UINT32 - org.nd4j.ir.TensorNamespace.DataType

UINT32 = 12;

UINT32 - org.nd4j.linalg.api.buffer.DataType

UINT32 - Static variable in class org.nd4j.graph.DType

UINT32_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

UINT32_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

UINT32 = 12;

UINT32_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

UINT32 = 12;

UINT32_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

UINT32 = 12;

UInt32TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt32TensorMapper

UINT64 - onnx.Onnx.TensorProto.DataType

UINT64 = 13;

UINT64 - onnx.OnnxMl.TensorProto.DataType

UINT64 = 13;

UINT64 - org.nd4j.ir.TensorNamespace.DataType

UINT64 = 13;

UINT64 - org.nd4j.linalg.api.buffer.DataType

UINT64 - Static variable in class org.nd4j.graph.DType

UINT64_DATA_FIELD_NUMBER - Static variable in class onnx.Onnx.TensorProto

UINT64_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TensorProto

UINT64_DATA_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.TensorProto

UINT64_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

UINT64_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

UINT64 = 13;

UINT64_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

UINT64 = 13;

UINT64_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

UINT64 = 13;

UInt64TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt64TensorMapper

UINT8 - onnx.Onnx.TensorProto.DataType

uint8_t

UINT8 - onnx.OnnxMl.TensorProto.DataType

uint8_t

UINT8 - org.nd4j.ir.TensorNamespace.DataType

uint8_t

UINT8 - org.nd4j.linalg.api.buffer.DataTypeEx

UINT8 - Static variable in class org.nd4j.graph.DType

UINT8 - Static variable in enum org.nd4j.linalg.api.buffer.DataType

UINT8_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

uint8_t

UINT8_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

uint8_t

UINT8_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

uint8_t

UInt8TensorMapper(TensorProto) - Constructor for class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt8TensorMapper

UIOp - Class in org.nd4j.graph

UIOp() - Constructor for class org.nd4j.graph.UIOp

UIOp.Vector - Class in org.nd4j.graph

UIStaticInfoRecord - Class in org.nd4j.graph

UIStaticInfoRecord() - Constructor for class org.nd4j.graph.UIStaticInfoRecord

UIStaticInfoRecord.Vector - Class in org.nd4j.graph

UISummaryStatistics - Class in org.nd4j.graph

UISummaryStatistics() - Constructor for class org.nd4j.graph.UISummaryStatistics

UISummaryStatistics.Vector - Class in org.nd4j.graph

UISystemInfo - Class in org.nd4j.graph

UISystemInfo() - Constructor for class org.nd4j.graph.UISystemInfo

UISystemInfo.Vector - Class in org.nd4j.graph

UIVariable - Class in org.nd4j.graph

UIVariable() - Constructor for class org.nd4j.graph.UIVariable

UIVariable.Vector - Class in org.nd4j.graph

ulike() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

ulike() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method returns uninitialized array with the same dtype/order/shape as this one

ulike(INDArray) - Method in class org.nd4j.autodiff.samediff.internal.memory.AbstractMemoryMgr

ulike(INDArray) - Method in interface org.nd4j.autodiff.samediff.internal.SessionMemMgr

Allocate an uninitialized array with the same datatype and shape as the specified array

UNAUTHENTICATED - org.tensorflow.framework.Code

The request does not have valid authentication credentials for the operation.

UNAUTHENTICATED_VALUE - Static variable in enum org.tensorflow.framework.Code

The request does not have valid authentication credentials for the operation.

UNAVAILABLE - org.tensorflow.framework.Code

The service is currently unavailable.

UNAVAILABLE_VALUE - Static variable in enum org.tensorflow.framework.Code

The service is currently unavailable.

UNDEFINED - onnx.Onnx.AttributeProto.AttributeType

UNDEFINED = 0;

UNDEFINED - onnx.Onnx.TensorProto.DataType

UNDEFINED = 0;

UNDEFINED - onnx.OnnxMl.AttributeProto.AttributeType

UNDEFINED = 0;

UNDEFINED - onnx.OnnxMl.TensorProto.DataType

UNDEFINED = 0;

UNDEFINED - org.nd4j.ir.TensorNamespace.DataType

UNDEFINED = 0;

UNDEFINED - org.nd4j.linalg.api.ops.ExecutionMode

UNDEFINED - Static variable in class org.nd4j.graph.InputType

UNDEFINED_VALUE - Static variable in enum onnx.Onnx.AttributeProto.AttributeType

UNDEFINED = 0;

UNDEFINED_VALUE - Static variable in enum onnx.Onnx.TensorProto.DataType

UNDEFINED = 0;

UNDEFINED_VALUE - Static variable in enum onnx.OnnxMl.AttributeProto.AttributeType

UNDEFINED = 0;

UNDEFINED_VALUE - Static variable in enum onnx.OnnxMl.TensorProto.DataType

UNDEFINED = 0;

UNDEFINED_VALUE - Static variable in enum org.nd4j.ir.TensorNamespace.DataType

UNDEFINED = 0;

underlyingDataBuffer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

underlyingDataBuffer() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Underlying buffer: This is meant for a data buffer to be a view of another data buffer

underlyingLength - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

underlyingLength() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

underlyingLength() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Returns the length of the buffer

underlyingRank(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

UnderSamplingByMaskingMultiDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor.classimbalance

UnderSamplingByMaskingMultiDataSetPreProcessor(Map<Integer, Double>, int) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingMultiDataSetPreProcessor

The target distribution to approximate.

UnderSamplingByMaskingPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor.classimbalance

UnderSamplingByMaskingPreProcessor(double, int) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingPreProcessor

The target distribution to approximate.

uniform(double, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a uniform distribution,
U(min,max)

uniform(double, double, DataType, long...) - Method in class org.nd4j.linalg.factory.ops.NDRandom

Generate a new random INDArray, where values are randomly sampled according to a uniform distribution,
U(min,max)

uniform(String, double, double, DataType, long...) - Method in class org.nd4j.autodiff.samediff.ops.SDRandom

Generate a new random INDArray, where values are randomly sampled according to a uniform distribution,
U(min,max)

UNIFORM - org.nd4j.weightinit.WeightInit

UniformDistribution - Class in org.nd4j.linalg.api.ops.random.impl

UniformDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl

UniformDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

UniformDistribution(double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Create a uniform real distribution using the given lower and upper bounds.

UniformDistribution(double, double, DataType, long...) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

UniformDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

This op fills Z with random values within 0...1

UniformDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

This op fills Z with random values within 0...to

UniformDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

This op fills Z with random values within from...to boundaries

UniformDistribution(SameDiff, double, double, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

UniformDistribution(SameDiff, double, double, DataType, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution

UniformDistribution(Random, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Creates a uniform distribution.

UniformInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: range = 1.0 / Math.sqrt(fanIn) U(-range,range)

UniformInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.UniformInitScheme

UNIMPLEMENTED - org.tensorflow.framework.Code

Operation is not implemented or not supported/enabled in this service.

UNIMPLEMENTED_VALUE - Static variable in enum org.tensorflow.framework.Code

Operation is not implemented or not supported/enabled in this service.

Unique - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Unique() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique

Unique(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Unique

UniqueWithCounts - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

UniqueWithCounts() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts

UniqueWithCounts(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts

uniquify(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

UNIT8 - org.nd4j.linalg.compression.CompressionAlgorithm

unitVec(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Scale by 1 / norm2 of the matrix

UNKNOWN - org.nd4j.linalg.api.blas.Blas.Vendor

UNKNOWN - org.nd4j.linalg.api.buffer.DataType

UNKNOWN - org.nd4j.linalg.heartbeat.reports.Task.ArchitectureType

UNKNOWN - org.tensorflow.framework.Code

Unknown error.

UNKNOWN_ERROR - Static variable in error org.nd4j.linalg.api.blas.BlasException

UNKNOWN_RANK_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorShapeProto

UNKNOWN_VALUE - Static variable in enum org.tensorflow.framework.Code

Unknown error.

unpack(Map<String, Optional<INDArray>>) - Static method in class org.nd4j.autodiff.samediff.config.ExecutionResult

unpauseArgumentInterceptor() - Method in class org.nd4j.autodiff.samediff.SameDiff

Unpause the top (most recently added) argument interceptor

unpauseArgumentInterceptor(ArgumentInterceptor) - Method in class org.nd4j.autodiff.samediff.SameDiff

Unpause the top given argument interceptor

unPersist() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

Deprecated.

unPersist() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Un persist the buffer

UNRECOGNIZED - onnx.Onnx.AttributeProto.AttributeType

UNRECOGNIZED - onnx.Onnx.OperatorStatus

UNRECOGNIZED - onnx.Onnx.TensorProto.DataLocation

UNRECOGNIZED - onnx.Onnx.TensorProto.DataType

UNRECOGNIZED - onnx.Onnx.Version

UNRECOGNIZED - onnx.OnnxMl.AttributeProto.AttributeType

UNRECOGNIZED - onnx.OnnxMl.OperatorStatus

UNRECOGNIZED - onnx.OnnxMl.TensorProto.DataLocation

UNRECOGNIZED - onnx.OnnxMl.TensorProto.DataType

UNRECOGNIZED - onnx.OnnxMl.Version

UNRECOGNIZED - org.nd4j.ir.MapperNamespace.OpListType

UNRECOGNIZED - org.nd4j.ir.MapperNamespace.VariableResolutionType

UNRECOGNIZED - org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

UNRECOGNIZED - org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

UNRECOGNIZED - org.nd4j.ir.TensorNamespace.DataType

UNRECOGNIZED - org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

UNRECOGNIZED - org.tensorflow.framework.ApiDef.Visibility

UNRECOGNIZED - org.tensorflow.framework.Code

UNRECOGNIZED - org.tensorflow.framework.DataType

UNRECOGNIZED - org.tensorflow.framework.GraphTransferInfo.Destination

UNRECOGNIZED - org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

UNRECOGNIZED - org.tensorflow.framework.OptimizerOptions.Level

UNRECOGNIZED - org.tensorflow.framework.RewriterConfig.MemOptType

UNRECOGNIZED - org.tensorflow.framework.RewriterConfig.NumIterationsType

UNRECOGNIZED - org.tensorflow.framework.RewriterConfig.Toggle

UNRECOGNIZED - org.tensorflow.framework.RunOptions.TraceLevel

UNRECOGNIZED - org.tensorflow.util.BundleHeaderProto.Endianness

UNRECOGNIZED - org.tensorflow.util.SaverDef.CheckpointFormatVersion

unsafeDuplication() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform efficient (but unsafe) duplication.

unsafeDuplication(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Perform efficient (but unsafe) duplication.

unsafeSetDevice(Integer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method forces specific device for current thread.

unsafeSetDevice(Integer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

unsortedSegmentMax(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment max operation.

unsortedSegmentMax(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment max operation.

unsortedSegmentMax(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment max operation.

unsortedSegmentMax(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment max operation.

unsortedSegmentMax(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment max operation.

unsortedSegmentMax(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment max operation.

UnsortedSegmentMax - Class in org.nd4j.linalg.api.ops.impl.transforms.segment

UnsortedSegmentMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

UnsortedSegmentMax(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

UnsortedSegmentMax(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

UnsortedSegmentMax(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

UnsortedSegmentMax(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMax

UnsortedSegmentMaxBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

UnsortedSegmentMaxBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMaxBp

UnsortedSegmentMaxBp(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMaxBp

unsortedSegmentMean(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment mean operation.

unsortedSegmentMean(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment mean operation.

unsortedSegmentMean(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment mean operation.

unsortedSegmentMean(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment mean operation.

unsortedSegmentMean(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment mean operation.

unsortedSegmentMean(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment mean operation.

UnsortedSegmentMean - Class in org.nd4j.linalg.api.ops.impl.transforms.segment

UnsortedSegmentMean(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean

UnsortedSegmentMean(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean

UnsortedSegmentMean(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean

UnsortedSegmentMean(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean

UnsortedSegmentMeanBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

UnsortedSegmentMeanBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMeanBp

UnsortedSegmentMeanBp(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMeanBp

unsortedSegmentMin(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment min operation.

unsortedSegmentMin(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment min operation.

unsortedSegmentMin(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment min operation.

unsortedSegmentMin(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment min operation.

unsortedSegmentMin(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment min operation.

unsortedSegmentMin(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment min operation.

UnsortedSegmentMin - Class in org.nd4j.linalg.api.ops.impl.transforms.segment

UnsortedSegmentMin(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin

UnsortedSegmentMin(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin

UnsortedSegmentMin(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin

UnsortedSegmentMin(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMin

UnsortedSegmentMinBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

UnsortedSegmentMinBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMinBp

UnsortedSegmentMinBp(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentMinBp

unsortedSegmentProd(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment product operation.

unsortedSegmentProd(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment product operation.

unsortedSegmentProd(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment product operation.

unsortedSegmentProd(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment product operation.

unsortedSegmentProd(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment product operation.

unsortedSegmentProd(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment product operation.

UnsortedSegmentProd - Class in org.nd4j.linalg.api.ops.impl.transforms.segment

UnsortedSegmentProd(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd

UnsortedSegmentProd(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd

UnsortedSegmentProd(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd

UnsortedSegmentProd(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentProd

UnsortedSegmentProdBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

UnsortedSegmentProdBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentProdBp

UnsortedSegmentProdBp(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentProdBp

unsortedSegmentSqrtN(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment sqrtN operation.

unsortedSegmentSqrtN(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment sqrtN operation.

unsortedSegmentSqrtN(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment sqrtN operation.

unsortedSegmentSqrtN(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment sqrtN operation.

unsortedSegmentSqrtN(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment sqrtN operation.

unsortedSegmentSqrtN(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment sqrtN operation.

UnsortedSegmentSqrtN - Class in org.nd4j.linalg.api.ops.impl.transforms.segment

UnsortedSegmentSqrtN(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSqrtN

UnsortedSegmentSqrtN(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSqrtN

UnsortedSegmentSqrtN(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSqrtN

UnsortedSegmentSqrtN(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSqrtN

UnsortedSegmentSqrtNBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

UnsortedSegmentSqrtNBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSqrtNBp

UnsortedSegmentSqrtNBp(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSqrtNBp

unsortedSegmentSum(String, SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment sum operation.

unsortedSegmentSum(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment sum operation.

unsortedSegmentSum(SDVariable, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment sum operation.

unsortedSegmentSum(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unsorted segment sum operation.

unsortedSegmentSum(INDArray, INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment sum operation.

unsortedSegmentSum(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unsorted segment sum operation.

UnsortedSegmentSum - Class in org.nd4j.linalg.api.ops.impl.transforms.segment

UnsortedSegmentSum(SameDiff, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

UnsortedSegmentSum(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

UnsortedSegmentSum(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

UnsortedSegmentSum(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentSum

UnsortedSegmentSumBp - Class in org.nd4j.linalg.api.ops.impl.transforms.segment.bp

UnsortedSegmentSumBp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSumBp

UnsortedSegmentSumBp(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.bp.UnsortedSegmentSumBp

unstack(String[], SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unstack a variable of rank X into N rank X-1 variables by taking slices along the specified axis.
If input has shape [a,b,c] then output has shape:
axis = 0: [b,c]
axis = 1: [a,c]
axis = 2: [a,b]

unstack(SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Unstack a variable of rank X into N rank X-1 variables by taking slices along the specified axis.
If input has shape [a,b,c] then output has shape:
axis = 0: [b,c]
axis = 1: [a,c]
axis = 2: [a,b]

unstack(SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

unstack(INDArray, int, int) - Method in class org.nd4j.linalg.factory.ops.NDBase

Unstack a variable of rank X into N rank X-1 variables by taking slices along the specified axis.
If input has shape [a,b,c] then output has shape:
axis = 0: [b,c]
axis = 1: [a,c]
axis = 2: [a,b]

Unstack - Class in org.nd4j.linalg.api.ops.impl.shape

Unstack() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Unstack

Unstack(INDArray, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Unstack

Unstack(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Unstack

Unstack(SameDiff, SDVariable, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Unstack

Unstack(INDArray, INDArray[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Unstack

UnusedFunctionOptimizations - Class in org.nd4j.autodiff.samediff.optimize.optimizations

UnusedFunctionOptimizations() - Constructor for class org.nd4j.autodiff.samediff.optimize.optimizations.UnusedFunctionOptimizations

UnusedFunctionOptimizations.RemoveUnusedConstants - Class in org.nd4j.autodiff.samediff.optimize.optimizations

update(INDArray) - Method in class org.nd4j.linalg.util.DeviceLocalNDArray

This method updates PLEASE NOTE: this method is NOT atomic, so you must be sure no other threads are using this instance during the update

update(Object...) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad

UPDATE_BINDING_FIELD_NUMBER - Static variable in class onnx.Onnx.TrainingInfoProto

UPDATE_BINDING_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TrainingInfoProto

updateBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction

updateDescendantDeps(AbstractSession.ExecStep, FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession

Update the descendant dependencies So if the graph structure is X -> A, then add all (X,Y,Z,...) -> A to the dependency tracker This is for a specific frame and iteration, for both sides of the dependency (in and out)

updatePairs(String, String) - Method in class org.nd4j.linalg.profiler.OpProfiler

updateProperties(InputStream) - Method in class org.nd4j.context.Nd4jContext

Load the additional properties from an input stream and load all system properties

updater(IUpdater) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Set the updater (such as Adam, Nesterovs etc.

updateRatios(int) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

updateRatios(int, UIListener.UpdateRatio) - Method in class org.nd4j.autodiff.listeners.impl.UIListener.Builder

updaters - Variable in class org.nd4j.autodiff.samediff.internal.TrainingSession

updaterState(int) - Method in class org.nd4j.graph.FlatGraph

updaterState(UpdaterState, int) - Method in class org.nd4j.graph.FlatGraph

UpdaterState - Class in org.nd4j.graph

UpdaterState() - Constructor for class org.nd4j.graph.UpdaterState

UpdaterState.Vector - Class in org.nd4j.graph

updaterStateKeys(int) - Method in class org.nd4j.graph.UpdaterState

updaterStateKeysLength() - Method in class org.nd4j.graph.UpdaterState

updaterStateKeysVector() - Method in class org.nd4j.graph.UpdaterState

updaterStateKeysVector(StringVector) - Method in class org.nd4j.graph.UpdaterState

updaterStateLength() - Method in class org.nd4j.graph.FlatGraph

updaterStateValues(int) - Method in class org.nd4j.graph.UpdaterState

updaterStateValues(FlatArray, int) - Method in class org.nd4j.graph.UpdaterState

updaterStateValuesLength() - Method in class org.nd4j.graph.UpdaterState

updaterStateValuesVector() - Method in class org.nd4j.graph.UpdaterState

updaterStateValuesVector(FlatArray.Vector) - Method in class org.nd4j.graph.UpdaterState

updaterStateVector() - Method in class org.nd4j.graph.FlatGraph

updaterStateVector(UpdaterState.Vector) - Method in class org.nd4j.graph.FlatGraph

updatesMap - Variable in class org.nd4j.linalg.util.DeviceLocal

updateState(AllocationKind, long) - Method in class org.nd4j.linalg.api.memory.DeviceAllocationsTracker

updateVariableNameAndReference(SameDiffOp, SDVariable, String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Updates the variable name property on the passed in variable, the reference in samediff, and returns the variable.

updateVariableNameAndReference(SameDiffOp, SDVariable, String, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Updates the variable name property on the passed in variable, the reference in samediff, and returns the variable.

updateVariableNameAndReference(SDVariable, String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Updates the variable name property on the passed in variable, the reference in samediff, and returns the variable.

updateVariableNameAndReference(SDVariable, String, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff

Updates the variable name property on the passed in variable, the reference in samediff, and returns the variable.

updateVariableNamesAndReferences(SDVariable[], String[]) - Method in class org.nd4j.autodiff.samediff.SameDiff

Updates the variable name property on the passed in variables, its reference in samediff, and returns the variable.

upsampling2d(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Upsampling layer for 2D inputs.
scale is used for both height and width dimensions.

upsampling2d(String, SDVariable, int, int, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution layer operation - Upsampling 2d

upsampling2d(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

Upsampling layer for 2D inputs.
scale is used for both height and width dimensions.

upsampling2d(SDVariable, int, int, boolean) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

2D Convolution layer operation - Upsampling 2d

upsampling2d(INDArray, int) - Method in class org.nd4j.linalg.factory.ops.NDCNN

Upsampling layer for 2D inputs.
scale is used for both height and width dimensions.

upsampling2d(INDArray, int, int, boolean) - Method in class org.nd4j.linalg.factory.ops.NDCNN

2D Convolution layer operation - Upsampling 2d

Upsampling2d - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Upsampling operation

Upsampling2d(SameDiff, SDVariable, boolean, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

Upsampling2d(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

Upsampling2d(SameDiff, SDVariable, int, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

Upsampling2d(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

Upsampling2d(INDArray, int, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d

Upsampling2dDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

UpsamplingDerivative operation

Upsampling2dDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative

Upsampling2dDerivative(SameDiff, SDVariable, SDVariable, boolean, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative

upsampling3d(String, SDVariable, boolean, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D Convolution layer operation - Upsampling 3d

upsampling3d(SDVariable, boolean, int, int, int) - Method in class org.nd4j.autodiff.samediff.ops.SDCNN

3D Convolution layer operation - Upsampling 3d

upsampling3d(INDArray, boolean, int, int, int) - Method in class org.nd4j.linalg.factory.ops.NDCNN

3D Convolution layer operation - Upsampling 3d

Upsampling3d - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Upsampling3d operation

Upsampling3d(SameDiff, SDVariable, boolean, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

Upsampling3d(INDArray, boolean, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3d

Upsampling3dBp - Class in org.nd4j.linalg.api.ops.impl.layers.convolution

Upsampling3dBp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling3dBp

USE_EXTENDED_PROFILER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.TraceOpts

USE_GPU_PROFILER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.TraceOpts

USE_KERNEL_PROFILER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.TraceOpts

USE_PER_SESSION_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto

USE_RPC_FOR_INPROCESS_MASTER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RPCOptions

USE_SAMPLE_PROFILER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.TraceOpts

USE_STEP_PROFILER_FIELD_NUMBER - Static variable in class org.tensorflow.distruntime.TraceOpts

USE_UNIFIED_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions.Experimental

useCount(DataBuffer) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

useCount(DataBuffer) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method returns reference use count from the Buffer

USER_CUSTOM - org.nd4j.graph.ui.LogFileWriter.EventSubtype

USER_CUSTOM - Static variable in class org.nd4j.graph.UIEventSubtype

useWorkspace - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

useWorkspaces - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

UTF16 - Static variable in class org.nd4j.graph.DType

UTF32 - Static variable in class org.nd4j.graph.DType

UTF8 - org.nd4j.linalg.api.buffer.DataType

UTF8 - Static variable in class org.nd4j.graph.DType

V

v - org.nd4j.autodiff.listeners.profiler.data.Phase

V - org.nd4j.autodiff.listeners.profiler.data.Phase

V_HAT_STATE - Static variable in class org.nd4j.linalg.learning.AMSGradUpdater

V_STATE - Static variable in class org.nd4j.linalg.learning.AdamUpdater

V_STATE - Static variable in class org.nd4j.linalg.learning.AMSGradUpdater

V_STATE - Static variable in class org.nd4j.linalg.learning.NadamUpdater

V_STATE - Static variable in class org.nd4j.linalg.learning.NesterovsUpdater

V1 - org.tensorflow.util.SaverDef.CheckpointFormatVersion

Deprecated format: tf.Saver() which works with tensorflow::table::Table.

V1_VALUE - Static variable in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

Deprecated format: tf.Saver() which works with tensorflow::table::Table.

V2 - org.tensorflow.util.SaverDef.CheckpointFormatVersion

Current format: more efficient.

V2_VALUE - Static variable in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

Current format: more efficient.

VALID - org.nd4j.linalg.api.ops.impl.layers.convolution.config.PaddingMode

VALID - org.nd4j.linalg.convolution.Convolution.Type

VALID - Static variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

validate() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig

validate() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig

validate() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig

validate() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig

validate() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv2DConfig

validate() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv3DConfig

validate() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.LocalResponseNormalizationConfig

validate() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling2DConfig

validate() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling3DConfig

validate() - Method in interface org.nd4j.linalg.dataset.api.DataSet

validate() - Method in class org.nd4j.linalg.dataset.DataSet

validate(long, INDArrayIndex) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

validate(OpTestCase) - Static method in class org.nd4j.autodiff.validation.OpValidation

Validate the outputs of a single op

validate(TestCase) - Static method in class org.nd4j.autodiff.validation.OpValidation

Run test case

validate(TestCase, boolean) - Static method in class org.nd4j.autodiff.validation.OpValidation

validate(DataSetIterator) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the validation data

validate(DataSetIterator, int) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the validation data and frequency

validate(MultiDataSetIterator) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the validation data

validate(MultiDataSetIterator, int) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the validation data and frequency

validate1D(long, long, long, long) - Static method in class org.nd4j.linalg.util.ConvConfigUtil

Validate a 1D convolution's Kernel, Stride, and Padding

validate2D(long, long, long, long, long, long, long, long) - Static method in class org.nd4j.linalg.util.ConvConfigUtil

Validate a 2D convolution's Kernel, Stride, Padding, and Dilation

validate3D(long, long, long, long, long, long, long, long, long, long, long, long) - Static method in class org.nd4j.linalg.util.ConvConfigUtil

Validate a 3D convolution's Kernel, Stride, Padding, and Dilation

validateArrayLocation(T, INDArray, boolean, boolean) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

validateArrayLocation(T, INDArray, boolean, boolean) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr

Validate that the specified array type is actually in the workspace it's supposed to be in

validateBool(String, String, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on a boolean type SDVariable

validateBool(String, String, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on a boolean type INDArray

validateBool(String, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on a boolean type SDVariable

validateBool(String, SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on boolean SDVariables

validateBool(String, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on a boolean type INDArray

validateBool(String, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on boolean INDArrays

validateBroadcastDims(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast

Validate the broadcast dimensions for manual broadcast ops such as BroadcastMulOp.

validateDataType(DataType, Object, INDArray...) - Static method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

validateDataType(DataType, Op) - Static method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

Validate the data types for the given operation

validateDataTypes() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation

validateDataTypes() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation

validateDataTypes(boolean) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastBoolOp

validateDataTypes(boolean) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp

validateDataTypes(boolean) - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

validateDataTypes(boolean) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

validateDataTypes(boolean) - Method in interface org.nd4j.linalg.api.ops.BroadcastOp

validateDataTypes(boolean) - Method in interface org.nd4j.linalg.api.ops.ScalarOp

validateDataTypes(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceBoolOp

validateDataTypes(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceFloatOp

validateDataTypes(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceLongOp

validateDataTypes(OpContext) - Method in class org.nd4j.linalg.api.ops.BaseReduceSameOp

validateDataTypes(OpContext) - Method in class org.nd4j.linalg.api.ops.impl.summarystats.Variance

validateDataTypes(OpContext) - Method in interface org.nd4j.linalg.api.ops.ReduceOp

validateDataTypes(OpContext, boolean) - Method in class org.nd4j.linalg.api.ops.BaseTransformAnyOp

validateDataTypes(OpContext, boolean) - Method in class org.nd4j.linalg.api.ops.BaseTransformBoolOp

validateDataTypes(OpContext, boolean) - Method in class org.nd4j.linalg.api.ops.BaseTransformFloatOp

validateDataTypes(OpContext, boolean) - Method in class org.nd4j.linalg.api.ops.BaseTransformSameOp

validateDataTypes(OpContext, boolean) - Method in class org.nd4j.linalg.api.ops.BaseTransformStrictOp

validateDataTypes(OpContext, boolean) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut

validateDataTypes(OpContext, boolean) - Method in interface org.nd4j.linalg.api.ops.TransformOp

validateDifferentialFunctionSameDiff(SameDiff, SDVariable, DifferentialFunction) - Static method in class org.nd4j.autodiff.util.SameDiffUtils

validateExtra3D(long, long, long) - Static method in class org.nd4j.linalg.util.ConvConfigUtil

Validate a 3D convolution's Output Padding

validateFloatingPoint(String, String, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on a floating point type SDVariable

validateFloatingPoint(String, String, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on a floating point type INDArray

validateFloatingPoint(String, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on an floating point type SDVariable

validateFloatingPoint(String, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on an floating point type INDArray

validateINDArrayFile(File) - Static method in class org.nd4j.linalg.util.Nd4jValidator

Validate whether the file represents a valid INDArray (of any data type) saved previously with Nd4j.saveBinary(INDArray, File) to be read with Nd4j.readBinary(File)

validateINDArrayFile(File, DataType...) - Static method in class org.nd4j.linalg.util.Nd4jValidator

Validate whether the file represents a valid INDArray (of one of the allowed/specified data types) saved previously with Nd4j.saveBinary(INDArray, File) to be read with Nd4j.readBinary(File)

validateINDArrayTextFile(File) - Static method in class org.nd4j.linalg.util.Nd4jValidator

Validate whether the file represents a valid INDArray text file (of any data type) saved previously with Nd4j.writeTxt(INDArray, String) to be read with Nd4j.readTxt(String) }

validateInteger(String, String, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on an integer type SDVariable

validateInteger(String, String, SDVariable[]) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

validateInteger(String, String, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on an integer type INDArray

validateInteger(String, String, INDArray[]) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on an integer type INDArray []

validateInteger(String, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on an integer type SDVariable

validateInteger(String, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on an integer type INDArray

validateInternalState(SameDiff, boolean) - Static method in class org.nd4j.autodiff.validation.GradCheckUtil

validateLRN(double, double, double, int) - Static method in class org.nd4j.linalg.util.ConvConfigUtil

Validate a LocalResponseNormalizationConfig

validateNpyFile(File) - Static method in class org.nd4j.linalg.util.Nd4jValidator

Validate whether the file represents a valid Numpy .npy file to be read with Nd4j.createFromNpyFile(File) }

validateNpzFile(File) - Static method in class org.nd4j.linalg.util.Nd4jValidator

Validate whether the file represents a valid Numpy .npz file to be read with Nd4j.createFromNpyFile(File) }

validateNumerical(String, String, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on a numerical SDVariable (not boolean or utf8).

validateNumerical(String, String, SDVariable[]) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

validateNumerical(String, String, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on a numerical INDArray (not boolean or utf8).

validateNumerical(String, String, INDArray[]) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on numerical INDArrays (not boolean or utf8).

validateNumerical(String, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on a numerical SDVariable (not boolean or utf8).

validateNumerical(String, SDVariable, SDVariable) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on numerical SDVariables (not boolean or utf8).

validateNumerical(String, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on a numerical INDArray (not boolean or utf8).

validateNumerical(String, INDArray[]) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on numerical INDArrays (not boolean or utf8).

validateNumerical(String, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on numerical INDArrays (not boolean or utf8).

validateNumericalArray(String, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Validate that the operation is being applied on a numerical array (not boolean or utf8).

validateNumpyTxtFile(File, String, Charset) - Static method in class org.nd4j.linalg.util.Nd4jValidator

Validate whether the file represents a valid Numpy text file (written using numpy.savetxt) to be read with Nd4j.readNumpy(String) }

validateSameDiffFlatBuffers(File) - Static method in class org.nd4j.linalg.util.Nd4jValidator

Validate whether the file represents a valid SameDiff FlatBuffers file, previously saved with SameDiff.asFlatFile(File) ) to be read with SameDiff.fromFlatFile(File) }

validateSameType(String, boolean, SDVariable...) - Static method in class org.nd4j.autodiff.samediff.ops.SDValidation

Validate that the operation is being applied on array with the exact same datatypes (which may optionally be restricted to numerical SDVariables only (not boolean or utf8))

validateSameType(String, boolean, INDArray...) - Static method in class org.nd4j.linalg.factory.NDValidation

Validate that the operation is being applied on array with the exact same datatypes (which may optionally be restricted to numerical INDArrays only (not boolean or utf8))

validateSerializedArrays(File, File, boolean) - Static method in class org.nd4j.linalg.util.ND4JTestUtils

Scan the specified directories for matching files (i.e., same path relative to their respective root directories) and compare the contents using INDArray.equals (via ND4JTestUtils.EqualsFn Assumes the saved files represent INDArrays saved with Nd4j.saveBinary(INDArray, File)

validateSerializedArrays(File, File, boolean, BiFunction<INDArray, INDArray, Boolean>) - Static method in class org.nd4j.linalg.util.ND4JTestUtils

Scan the specified directories for matching files (i.e., same path relative to their respective root directories) and compare the contents using a provided function.
Assumes the saved files represent INDArrays saved with Nd4j.saveBinary(INDArray, File)

validateShapesNoDimCase(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Broadcast

ValidateVersion() - Static method in class org.nd4j.graph.FlatArray

ValidateVersion() - Static method in class org.nd4j.graph.FlatArrayList

ValidateVersion() - Static method in class org.nd4j.graph.FlatConfiguration

ValidateVersion() - Static method in class org.nd4j.graph.FlatDropRequest

ValidateVersion() - Static method in class org.nd4j.graph.FlatGraph

ValidateVersion() - Static method in class org.nd4j.graph.FlatInferenceRequest

ValidateVersion() - Static method in class org.nd4j.graph.FlatNode

ValidateVersion() - Static method in class org.nd4j.graph.FlatProperties

ValidateVersion() - Static method in class org.nd4j.graph.FlatResponse

ValidateVersion() - Static method in class org.nd4j.graph.FlatResult

ValidateVersion() - Static method in class org.nd4j.graph.FlatTiming

ValidateVersion() - Static method in class org.nd4j.graph.FlatVariable

ValidateVersion() - Static method in class org.nd4j.graph.FrameIteration

ValidateVersion() - Static method in class org.nd4j.graph.IntPair

ValidateVersion() - Static method in class org.nd4j.graph.IntTriple

ValidateVersion() - Static method in class org.nd4j.graph.LongPair

ValidateVersion() - Static method in class org.nd4j.graph.LongTriple

ValidateVersion() - Static method in class org.nd4j.graph.SequenceItem

ValidateVersion() - Static method in class org.nd4j.graph.SequenceItemRoot

ValidateVersion() - Static method in class org.nd4j.graph.UIAddName

ValidateVersion() - Static method in class org.nd4j.graph.UIEvent

ValidateVersion() - Static method in class org.nd4j.graph.UIGraphStructure

ValidateVersion() - Static method in class org.nd4j.graph.UIHardwareState

ValidateVersion() - Static method in class org.nd4j.graph.UIHistogram

ValidateVersion() - Static method in class org.nd4j.graph.UIOp

ValidateVersion() - Static method in class org.nd4j.graph.UIStaticInfoRecord

ValidateVersion() - Static method in class org.nd4j.graph.UISummaryStatistics

ValidateVersion() - Static method in class org.nd4j.graph.UISystemInfo

ValidateVersion() - Static method in class org.nd4j.graph.UIVariable

ValidateVersion() - Static method in class org.nd4j.graph.UpdaterState

validationDone(SameDiff, At, long) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

validationDone(SameDiff, At, long) - Method in class org.nd4j.autodiff.listeners.BaseListener

validationDone(SameDiff, At, long) - Method in interface org.nd4j.autodiff.listeners.Listener

Called after the end of every epoch, once validation evaluation is done, when training

validationDoneEvaluations(SameDiff, At, long, EvaluationRecord) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener

See Listener.validationDone(SameDiff, At, long), also provided the requested evaluations

validationDoneEvaluations(SameDiff, At, long, EvaluationRecord) - Method in class org.nd4j.autodiff.listeners.impl.HistoryListener

validationEpochs() - Method in class org.nd4j.autodiff.listeners.records.History

Get the number of epochs validation was ran on

validationEval() - Method in class org.nd4j.autodiff.listeners.records.History

Get the validation evaluations

validationEval(String) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a validation evaluation on a given parameter Only works if there is only one evaluation for param.

validationEval(String, int) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a validation evaluation on a given parameter at a given index Note that it returns all recorded evaluations.

validationEval(String, int, IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a validation evaluation on a given parameter at a given index, for a given metric Note that it returns all recorded evaluations.

validationEval(String, IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a validation evaluation on a given parameter for a given metric Only works if there is only one evaluation with the given metric for param

validationEval(SDVariable) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a validation evaluation on a given parameter Only works if there is only one evaluation for param.

validationEval(SDVariable, int) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a validation evaluation on a given parameter at a given index Note that it returns all recorded evaluations.

validationEval(SDVariable, int, IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a validation evaluation on a given parameter at a given index, for a given metric Note that it returns all recorded evaluations.

validationEval(SDVariable, IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a validation evaluation on a given parameter for a given metric Only works if there is only one evaluation with the given metric for param

validationEval(IMetric) - Method in class org.nd4j.autodiff.listeners.records.History

Get the results of a validation evaluation for a given metric Only works if there is only one evaluation with the given metric

validationEvaluation(String, int, IEvaluation...) - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations.Builder

Add requested validation evaluations for a parm/variable

validationEvaluation(String, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Add requested History validation evaluations for a parm/variable.

validationEvaluation(SDVariable, int, IEvaluation...) - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations.Builder

Add requested validation evaluations for a parm/variable

validationEvaluation(SDVariable, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Add requested History validation evaluations for a parm/variable.

validationEvaluationLabels() - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations

Get the label indices for the requested validation evaluations

validationEvaluations() - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations

Get the requested validation evaluations

validationEvaluations(int) - Method in class org.nd4j.autodiff.listeners.records.History

Gets the evaluation record for a given epoch.

validationFrequency(int) - Method in class org.nd4j.autodiff.samediff.config.FitConfig

Set the validation frequency.

validationTimesMillis() - Method in class org.nd4j.autodiff.listeners.records.History

Get the total validation time, in milliseconds

validationVariables() - Method in class org.nd4j.autodiff.listeners.ListenerVariables

Get required validation variables

validationVariables(String...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for validation

validationVariables(SDVariable...) - Method in class org.nd4j.autodiff.listeners.ListenerVariables.Builder

Add required variables for validation

value - Variable in class org.nd4j.linalg.indexing.conditions.BaseCondition

Value - Class in org.nd4j.linalg.indexing.functions

Value(Number) - Constructor for class org.nd4j.linalg.indexing.functions.Value

VALUE_COUNT - org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper.ValueSource

VALUE_FIELD_NUMBER - Static variable in class onnx.Onnx.StringStringEntryProto

VALUE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.StringStringEntryProto

VALUE_FIELD_NUMBER - Static variable in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef.AnyList

VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef.BytesList

VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef.FloatList

VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef.Int64List

VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef.NodeList

VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary

VALUE_INFO_FIELD_NUMBER - Static variable in class onnx.Onnx.GraphProto

VALUE_INFO_FIELD_NUMBER - Static variable in class onnx.OnnxMl.GraphProto

VALUE_NOT_SET - onnx.Onnx.TensorShapeProto.Dimension.ValueCase

VALUE_NOT_SET - onnx.Onnx.TypeProto.ValueCase

VALUE_NOT_SET - onnx.OnnxMl.TensorShapeProto.Dimension.ValueCase

VALUE_NOT_SET - onnx.OnnxMl.TypeProto.ValueCase

VALUE_NOT_SET - org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase

VALUE_NOT_SET - org.nd4j.ir.TensorNamespace.TypeProto.ValueCase

VALUE_NOT_SET - org.tensorflow.framework.AttrValue.ValueCase

VALUE_NOT_SET - org.tensorflow.framework.Summary.Value.ValueCase

VALUE_TYPE_FIELD_NUMBER - Static variable in class onnx.Onnx.TypeProto.Map

VALUE_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.TypeProto.Map

valueArrayOf(int[], double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates an ndarray with the specified value as the only value in the ndarray

valueArrayOf(int[], double) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified value as the only value in the ndarray.

valueArrayOf(int[], double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates an ndarray with the specified value as the only value in the ndarray

valueArrayOf(long[], double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

valueArrayOf(long[], double) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.valueArrayOf(long[], double, DataType)

valueArrayOf(long[], double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

valueArrayOf(long[], double, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified value as the only value in the ndarray.

valueArrayOf(long[], float) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified value as the only value in the FLOAT32 datatype NDArray.

valueArrayOf(long[], int) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an ndarray with the specified value as the only value in the INTEGER datatype NDArray.

valueArrayOf(long[], long, DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.valueArrayOf(long[], double, DataType)

valueArrayOf(long, double) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a row vector ndarray with the specified value as the only value in the ndarray Some people may know this as np.full

valueArrayOf(long, long, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates a row vector with the specified number of columns

valueArrayOf(long, long, double) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a row vector with the specified number of columns Some people may know this as np.full

valueArrayOf(long, long, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates a row vector with the specified number of columns

valueAt(int, int) - Method in class org.nd4j.linalg.schedule.CycleSchedule

valueAt(int, int) - Method in class org.nd4j.linalg.schedule.ExponentialSchedule

valueAt(int, int) - Method in class org.nd4j.linalg.schedule.FixedSchedule

valueAt(int, int) - Method in class org.nd4j.linalg.schedule.InverseSchedule

valueAt(int, int) - Method in interface org.nd4j.linalg.schedule.ISchedule

valueAt(int, int) - Method in class org.nd4j.linalg.schedule.MapSchedule

valueAt(int, int) - Method in class org.nd4j.linalg.schedule.PolySchedule

valueAt(int, int) - Method in class org.nd4j.linalg.schedule.RampSchedule

valueAt(int, int) - Method in class org.nd4j.linalg.schedule.SigmoidSchedule

valueAt(int, int) - Method in class org.nd4j.linalg.schedule.StepSchedule

valueCount() - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BFloat16TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BoolTensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float16TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float32TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float64TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int16TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int32TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int64TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int8TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.StringTensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt16TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt32TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt64TensorMapper

valueCount() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt8TensorMapper

valueExistsAtIndex(int) - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

valueInput(String, SDValue) - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Add a placeholder value for a specified variable

valueInputs(Map<String, SDValue>) - Method in class org.nd4j.autodiff.samediff.config.BatchOutputConfig

Calls BatchOutputConfig.input(String, INDArray) on each entry in the map.

valueOf(int) - Static method in enum onnx.Onnx.AttributeProto.AttributeType

Deprecated.

valueOf(int) - Static method in enum onnx.Onnx.OperatorStatus

Deprecated.

valueOf(int) - Static method in enum onnx.Onnx.TensorProto.DataLocation

Deprecated.

valueOf(int) - Static method in enum onnx.Onnx.TensorProto.DataType

Deprecated.

valueOf(int) - Static method in enum onnx.Onnx.TensorShapeProto.Dimension.ValueCase

Deprecated.

valueOf(int) - Static method in enum onnx.Onnx.TypeProto.ValueCase

Deprecated.

valueOf(int) - Static method in enum onnx.Onnx.Version

Deprecated.

valueOf(int) - Static method in enum onnx.OnnxMl.AttributeProto.AttributeType

Deprecated.

valueOf(int) - Static method in enum onnx.OnnxMl.OperatorStatus

Deprecated.

valueOf(int) - Static method in enum onnx.OnnxMl.TensorProto.DataLocation

Deprecated.

valueOf(int) - Static method in enum onnx.OnnxMl.TensorProto.DataType

Deprecated.

valueOf(int) - Static method in enum onnx.OnnxMl.TensorShapeProto.Dimension.ValueCase

Deprecated.

valueOf(int) - Static method in enum onnx.OnnxMl.TypeProto.ValueCase

Deprecated.

valueOf(int) - Static method in enum onnx.OnnxMl.Version

Deprecated.

valueOf(int) - Static method in enum org.nd4j.ir.MapperNamespace.OpListType

Deprecated.

valueOf(int) - Static method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

Deprecated.

valueOf(int) - Static method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

Deprecated.

valueOf(int) - Static method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

Deprecated.

valueOf(int) - Static method in enum org.nd4j.ir.TensorNamespace.DataType

Deprecated.

valueOf(int) - Static method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

Deprecated.

valueOf(int) - Static method in enum org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase

Deprecated.

valueOf(int) - Static method in enum org.nd4j.ir.TensorNamespace.TypeProto.ValueCase

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.ApiDef.Visibility

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.AttrValue.ValueCase

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.Code

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.CollectionDef.KindCase

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.ControlFlowContextDef.CtxtCase

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.DataType

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.OptimizerOptions.Level

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.RewriterConfig.MemOptType

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.RewriterConfig.Toggle

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.RunOptions.TraceLevel

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.Summary.Value.ValueCase

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.TensorInfo.EncodingCase

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.util.BundleHeaderProto.Endianness

Deprecated.

valueOf(int) - Static method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

Deprecated.

valueOf(int) - Static method in enum tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase

Deprecated.

valueOf(String) - Static method in enum onnx.Onnx.AttributeProto.AttributeType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.Onnx.OperatorStatus

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.Onnx.TensorProto.DataLocation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.Onnx.TensorProto.DataType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.Onnx.TensorShapeProto.Dimension.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.Onnx.TypeProto.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.Onnx.Version

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.OnnxMl.AttributeProto.AttributeType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.OnnxMl.OperatorStatus

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.OnnxMl.TensorProto.DataLocation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.OnnxMl.TensorProto.DataType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.OnnxMl.TensorShapeProto.Dimension.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.OnnxMl.TypeProto.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum onnx.OnnxMl.Version

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.execution.conf.ExecutionMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.execution.conf.OutputMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.debugging.ExecDebuggingListener.PrintMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.Mode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.impl.UIListener.FileMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.impl.UIListener.HistogramType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.impl.UIListener.UpdateRatio

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.ListenerResponse

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.Operation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.OutputFormat

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.ProfileFormat

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.SortBy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.profiler.data.ColorName

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.listeners.profiler.data.Phase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.loss.LossReduce

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.samediff.config.SDValueType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.samediff.SDIndex.IndexType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.samediff.VariableType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.validation.GradCheckUtil.Subset

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.autodiff.validation.TestCase.TestSerialization

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.CellAct

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.CoordinateTransformationMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.DataFormat

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.GateAct

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.ImageResizeMethod

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.LSTMDataFormat

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.LSTMDirectionMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.Mode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.NearestMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.OutAct

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.PadMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.PartitionMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.RnnDataFormat

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.enums.WeightsFormat

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.evaluation.classification.Evaluation.Metric

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.evaluation.classification.EvaluationBinary.Metric

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.evaluation.classification.ROC.Metric

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.evaluation.classification.ROCBinary.Metric

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.evaluation.classification.ROCMultiClass.Metric

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.evaluation.EvaluationAveraging

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.evaluation.regression.RegressionEvaluation.Metric

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.graph.ui.LogFileWriter.EventSubtype

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper.ValueSource

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.ir.MapperNamespace.OpListType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.ir.TensorNamespace.DataType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.ir.TensorNamespace.TypeProto.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.activations.Activation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.blas.Blas.Vendor

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.buffer.DataBuffer.AllocationMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.buffer.DataBuffer.TypeEx

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.buffer.DataType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.buffer.DataTypeEx

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.concurrency.AffinityManager.Location

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.concurrency.ArrayType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.enums.AllocationKind

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.enums.AllocationPolicy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.enums.DebugMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.enums.LearningPolicy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.enums.LocationPolicy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.enums.MemoryKind

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.enums.MirroringPolicy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.enums.ResetPolicy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.enums.SpillPolicy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.MemcpyDirection

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.memory.MemoryWorkspace.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.executioner.OpExecutioner.ExecutionerType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.executioner.OpStatus

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.ExecutionMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.image.CropAndResize.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D.Pooling2DType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.config.PaddingMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D.Divisor

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D.Pooling2DType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D.Pooling3DType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDataFormat

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDirectionMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.layers.recurrent.config.RnnDataFormat

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate.UpdateOp

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.transforms.Pad.Mode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.Op.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.api.shape.options.ArrayType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.compression.CompressionAlgorithm

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.compression.CompressionType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.convolution.Convolution.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.dataset.api.preprocessor.CropAndResizeDataSetPreProcessor.ResizeMethod

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.dataset.api.preprocessor.PermuteDataSetPreProcessor.PermutationTypes

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.heartbeat.reports.Event

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.heartbeat.reports.Task.ArchitectureType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.heartbeat.reports.Task.NetworkType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.indexing.functions.StableNumber.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.learning.regularization.Regularization.ApplyStep

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.profiler.OpProfiler.PenaltyCause

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.linalg.schedule.ScheduleType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.versioncheck.VersionCheck.Detail

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nd4j.weightinit.WeightInit

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.ApiDef.Visibility

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.AttrValue.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.Code

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.CollectionDef.KindCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.ControlFlowContextDef.CtxtCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.DataType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.OptimizerOptions.Level

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.RewriterConfig.MemOptType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.RewriterConfig.Toggle

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.RunOptions.TraceLevel

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.Summary.Value.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.TensorInfo.EncodingCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.util.BundleHeaderProto.Endianness

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.Onnx.AttributeProto.AttributeType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.Onnx.OperatorStatus

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.Onnx.TensorProto.DataLocation

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.Onnx.TensorProto.DataType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.Onnx.Version

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.OnnxMl.AttributeProto.AttributeType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.OnnxMl.OperatorStatus

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.OnnxMl.TensorProto.DataLocation

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.OnnxMl.TensorProto.DataType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum onnx.OnnxMl.Version

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.nd4j.ir.MapperNamespace.OpListType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.nd4j.ir.TensorNamespace.DataType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.ApiDef.Visibility

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.Code

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.DataType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.OptimizerOptions.Level

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.RewriterConfig.MemOptType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.RewriterConfig.Toggle

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.framework.RunOptions.TraceLevel

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.util.BundleHeaderProto.Endianness

Returns the enum constant of this type with the specified name.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

Returns the enum constant of this type with the specified name.

values() - Static method in enum onnx.Onnx.AttributeProto.AttributeType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.Onnx.OperatorStatus

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.Onnx.TensorProto.DataLocation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.Onnx.TensorProto.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.Onnx.TensorShapeProto.Dimension.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.Onnx.TypeProto.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.Onnx.Version

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.OnnxMl.AttributeProto.AttributeType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.OnnxMl.OperatorStatus

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.OnnxMl.TensorProto.DataLocation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.OnnxMl.TensorProto.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.OnnxMl.TensorShapeProto.Dimension.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.OnnxMl.TypeProto.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum onnx.OnnxMl.Version

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.execution.conf.ExecutionMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.execution.conf.OutputMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.debugging.ExecDebuggingListener.PrintMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.debugging.OpBenchmarkListener.Mode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.impl.UIListener.FileMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.impl.UIListener.HistogramType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.impl.UIListener.UpdateRatio

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.ListenerResponse

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.Operation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.OutputFormat

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.ProfileFormat

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.profiler.comparison.ProfileAnalyzer.SortBy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.profiler.data.ColorName

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.listeners.profiler.data.Phase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.loss.LossReduce

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.samediff.config.SDValueType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.samediff.SDIndex.IndexType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.samediff.VariableType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.validation.GradCheckUtil.Subset

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.autodiff.validation.TestCase.TestSerialization

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.CellAct

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.CoordinateTransformationMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.DataFormat

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.GateAct

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.ImageResizeMethod

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.LSTMDataFormat

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.LSTMDirectionMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.Mode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.NearestMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.OutAct

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.PadMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.PartitionMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.RnnDataFormat

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.enums.WeightsFormat

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.evaluation.classification.Evaluation.Metric

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.evaluation.classification.EvaluationBinary.Metric

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.evaluation.classification.ROC.Metric

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.evaluation.classification.ROCBinary.Metric

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.evaluation.classification.ROCMultiClass.Metric

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.evaluation.EvaluationAveraging

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.evaluation.regression.RegressionEvaluation.Metric

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.graph.ui.LogFileWriter.EventSubtype

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper.ValueSource

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.ir.MapperNamespace.OpListType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.ir.MapperNamespace.VariableResolutionType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.ir.OpNamespace.ArgDescriptor.ArgType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.ir.OpNamespace.OpDescriptor.OpDeclarationType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.ir.TensorNamespace.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.ir.TensorNamespace.TensorProto.DataLocation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.ir.TensorNamespace.TypeProto.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.activations.Activation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.blas.Blas.Vendor

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.buffer.DataBuffer.AllocationMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.buffer.DataBuffer.TypeEx

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.buffer.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.buffer.DataTypeEx

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.concurrency.AffinityManager.Location

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.concurrency.ArrayType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.enums.AllocationKind

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.enums.AllocationPolicy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.enums.DebugMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.enums.LearningPolicy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.enums.LocationPolicy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.enums.MemoryKind

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.enums.MirroringPolicy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.enums.ResetPolicy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.enums.SpillPolicy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.MemcpyDirection

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.memory.MemoryWorkspace.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.executioner.OpExecutioner.ExecutionerType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.executioner.OpStatus

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.ExecutionMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.image.CropAndResize.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D.Pooling2DType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.config.PaddingMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D.Divisor

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D.Pooling2DType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D.Pooling3DType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMActivations

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDataFormat

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDirectionMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.layers.recurrent.config.RnnDataFormat

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate.UpdateOp

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.impl.transforms.Pad.Mode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.ops.Op.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.api.shape.options.ArrayType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.compression.CompressionAlgorithm

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.compression.CompressionType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.convolution.Convolution.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.dataset.api.preprocessor.CropAndResizeDataSetPreProcessor.ResizeMethod

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.dataset.api.preprocessor.PermuteDataSetPreProcessor.PermutationTypes

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.heartbeat.reports.Event

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.heartbeat.reports.Task.ArchitectureType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.heartbeat.reports.Task.NetworkType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.indexing.conditions.Conditions.ConditionMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.indexing.functions.StableNumber.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.learning.regularization.Regularization.ApplyStep

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.profiler.OpProfiler.PenaltyCause

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.linalg.schedule.ScheduleType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.versioncheck.VersionCheck.Detail

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nd4j.weightinit.WeightInit

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.ApiDef.Visibility

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.AttrValue.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.Code

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.CollectionDef.KindCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.ControlFlowContextDef.CtxtCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.OptimizerOptions.GlobalJitLevel

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.OptimizerOptions.Level

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.RewriterConfig.MemOptType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.RewriterConfig.NumIterationsType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.RewriterConfig.Toggle

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.RunOptions.TraceLevel

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.Summary.Value.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.TensorInfo.EncodingCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.util.BundleHeaderProto.Endianness

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.util.SaverDef.CheckpointFormatVersion

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase

Returns an array containing the constants of this enum type, in the order they are declared.

VALUES_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CondContextDef

VALUES_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.WhileContextDef

VALUES_FIELD_NUMBER - Static variable in class onnx.Onnx.SparseTensorProto

VALUES_FIELD_NUMBER - Static variable in class onnx.OnnxMl.SparseTensorProto

VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ValuesDef

VALUES_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorInfo.CooSparse

ValuesDef - Class in org.tensorflow.framework

Protocol buffer representing the values in ControlFlowContext.

ValuesDef.Builder - Class in org.tensorflow.framework

Protocol buffer representing the values in ControlFlowContext.

ValuesDefOrBuilder - Interface in org.tensorflow.framework

valueSource() - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper

valueSource() - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BaseTensorMapper

valueTypeIndex() - Method in enum org.nd4j.autodiff.samediff.config.SDValueType

valueWithKey(String) - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

valueWithKeyAtIndex(int, boolean) - Method in class org.nd4j.autodiff.samediff.config.ExecutionResult

var(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

var(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall variance of this ndarray

var(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

var(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall variance of this ndarray

var(String, VariableType, WeightInitScheme, DataType, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Variable initialization with a specified WeightInitScheme This method creates VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.

var(String, LongShapeDescriptor, WeightInitScheme) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a SDVariable with the given shape and name
The underlying array will be initialized using the specified weight initilization scheme
This is a VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.

var(String, WeightInitScheme, @lombok.NonNull long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Variable initialization with a specified WeightInitScheme.

var(String, WeightInitScheme, DataType, @lombok.NonNull long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Variable initialization with a specified WeightInitScheme This method creates VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.

var(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff

Initialize a SDVariable reference tying this variable to this samediff instance.

var(String, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a SDVariable with the given shape and name
Any array will be generated with all zeros for the values.

var(String, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a SDVariable with the given shape and name
Any array will be generated with all zeros for the values.

var(String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create an SDVariable with the specified name, and associate the specified array with it
This is a VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.

var(String, DataType, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a SDVariable with the given shape and name
Any array will be generated with all zeros for the values

var(String, DataType, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a SDVariable with the given shape and name
Any array will be generated with all zeros for the values
This is a VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.

var(String, LongShapeDescriptor) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a SDVariable with the given shape and name
Any array will be generated with all zeros for the values
This is a VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.

var(DataType, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a SDVariable with the specified shape and a generated name
Any array will be generated with all zeros for the values
This method creates a VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.

var(DataType, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a SDVariable with the specified shape and a generated name
Any array will be generated with all zeros for the values
This method creates a VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.

var(INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create an SDVariable with a generated name, and assocate the specified array with it.
This is a VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.

var(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.var(int...) with Integer.MAX_VALUE for full array reduction.

var(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

See INDArray.var(int...) with Integer.MAX_VALUE for full array reduction.

var(WeightInitScheme, DataType, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Creates a SDVariable with the specified shape and a generated name.

VAR_OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SaveSliceInfoDef

VAR_SCALING_NORMAL_FAN_AVG - org.nd4j.weightinit.WeightInit

VAR_SCALING_NORMAL_FAN_IN - org.nd4j.weightinit.WeightInit

VAR_SCALING_NORMAL_FAN_OUT - org.nd4j.weightinit.WeightInit

VAR_SCALING_UNIFORM_FAN_AVG - org.nd4j.weightinit.WeightInit

VAR_SCALING_UNIFORM_FAN_IN - org.nd4j.weightinit.WeightInit

VAR_SCALING_UNIFORM_FAN_OUT - org.nd4j.weightinit.WeightInit

VAR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SaveSliceInfoDef

varControlDeps - Variable in class org.nd4j.autodiff.samediff.internal.SameDiffOp

varControlDeps(int) - Method in class org.nd4j.graph.FlatNode

varControlDepsLength() - Method in class org.nd4j.graph.FlatNode

varControlDepsVector() - Method in class org.nd4j.graph.FlatNode

varControlDepsVector(StringVector) - Method in class org.nd4j.graph.FlatNode

variable - Variable in class org.nd4j.autodiff.samediff.internal.Variable

Variable - Class in org.nd4j.autodiff.samediff.internal

Variable() - Constructor for class org.nd4j.autodiff.samediff.internal.Variable

VARIABLE - org.nd4j.autodiff.samediff.internal.AbstractSession.ExecType

VARIABLE - org.nd4j.autodiff.samediff.VariableType

VARIABLE - Static variable in class org.nd4j.graph.OpType

VARIABLE - Static variable in class org.nd4j.graph.VarType

VARIABLE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef

VARIABLE_SPACE - org.nd4j.autodiff.execution.conf.OutputMode

whole content of VariableSpace will be returned back

VARIABLE_SPACE - Static variable in class org.nd4j.graph.OutputMode

VariableDef - Class in org.tensorflow.framework

Protocol buffer representing a Variable.

VariableDef.Builder - Class in org.tensorflow.framework

Protocol buffer representing a Variable.

VariableDefOrBuilder - Interface in org.tensorflow.framework

VariableDep() - Constructor for class org.nd4j.autodiff.samediff.internal.InferenceSession.VariableDep

variableHasGradient(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Determine if the specified variable has a gradient with respect to the current loss.

variableId() - Method in class org.nd4j.graph.UIEvent

variableIndex - Variable in class org.nd4j.autodiff.samediff.internal.Variable

variableMap() - Method in class org.nd4j.autodiff.samediff.SameDiff

Return a copy of the internal variable map

VariableProtos - Class in org.tensorflow.framework

VARIABLERESOLUTIONTYPE_FIELD_NUMBER - Static variable in class org.nd4j.ir.MapperNamespace.MapperDeclaration

variables() - Method in class org.nd4j.autodiff.samediff.SameDiff

The list of all variables in the graph

variables(int) - Method in class org.nd4j.graph.FlatGraph

variables(int) - Method in class org.nd4j.graph.FlatInferenceRequest

variables(int) - Method in class org.nd4j.graph.FlatResult

variables(int) - Method in class org.nd4j.graph.UIGraphStructure

variables(FlatVariable, int) - Method in class org.nd4j.graph.FlatGraph

variables(FlatVariable, int) - Method in class org.nd4j.graph.FlatInferenceRequest

variables(FlatVariable, int) - Method in class org.nd4j.graph.FlatResult

variables(UIVariable, int) - Method in class org.nd4j.graph.UIGraphStructure

variablesLength() - Method in class org.nd4j.graph.FlatGraph

variablesLength() - Method in class org.nd4j.graph.FlatInferenceRequest

variablesLength() - Method in class org.nd4j.graph.FlatResult

variablesLength() - Method in class org.nd4j.graph.UIGraphStructure

variablesVector() - Method in class org.nd4j.graph.FlatGraph

variablesVector() - Method in class org.nd4j.graph.FlatInferenceRequest

variablesVector() - Method in class org.nd4j.graph.FlatResult

variablesVector() - Method in class org.nd4j.graph.UIGraphStructure

variablesVector(FlatVariable.Vector) - Method in class org.nd4j.graph.FlatGraph

variablesVector(FlatVariable.Vector) - Method in class org.nd4j.graph.FlatInferenceRequest

variablesVector(FlatVariable.Vector) - Method in class org.nd4j.graph.FlatResult

variablesVector(UIVariable.Vector) - Method in class org.nd4j.graph.UIGraphStructure

variabletype() - Method in class org.nd4j.graph.FlatVariable

variableType - Variable in class org.nd4j.autodiff.samediff.SDVariable

VariableType - Enum in org.nd4j.autodiff.samediff

VariableUtils - Class in org.nd4j.imports

VariableUtils() - Constructor for class org.nd4j.imports.VariableUtils

VARIADIC - org.nd4j.linalg.api.concurrency.ArrayType

This means DistributedINDArray might (or might not) have different shapes on different entries

variance(String, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Variance array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

variance(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Variance array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

variance(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Variance array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

variance(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Variance array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

variance(INDArray, boolean, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Variance array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

variance(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase

Variance array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

Variance - Class in org.nd4j.linalg.api.ops.impl.summarystats

Variance() - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, boolean, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, int[], boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, int[], boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, int[], boolean, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, int[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, int[], double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, boolean, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, int[], boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, int[], boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, int[], boolean, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, int[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, int[], double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(SameDiff, SDVariable, SDVariable, SDVariable, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, boolean, double, double, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, boolean, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, boolean, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, double, double, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, double, double, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, INDArray, boolean, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, INDArray, boolean, int[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, INDArray, boolean, int[], double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, INDArray, double, double, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, INDArray, double, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

Variance(INDArray, INDArray, INDArray, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.summarystats.Variance

VARIANCE - org.nd4j.linalg.api.ops.Op.Type

VarianceBp - Class in org.nd4j.linalg.api.ops.impl.reduce.bp

VarianceBp(boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

VarianceBp(SameDiff, SDVariable, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

VarianceBp(SameDiff, SDVariable, SDVariable, boolean, boolean, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

VarianceBp(SameDiff, SDVariable, SDVariable, boolean, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

VarianceBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

VarianceBp(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

VarianceBp(INDArray, INDArray, INDArray, boolean, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

VarianceBp(INDArray, INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

VarianceBp(INDArray, INDArray, INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp

varianceOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper

VARIANT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

VariantTensorDataProto - Class in org.tensorflow.framework

Protocol buffer representing the serialization format of DT_VARIANT tensors.

VariantTensorDataProto.Builder - Class in org.tensorflow.framework

Protocol buffer representing the serialization format of DT_VARIANT tensors.

VariantTensorDataProtoOrBuilder - Interface in org.tensorflow.framework

VarId(String, String, int, FrameIter) - Constructor for class org.nd4j.autodiff.samediff.internal.AbstractSession.VarId

varName - Variable in class org.nd4j.autodiff.samediff.internal.InferenceSession.VariableDep

varName - Variable in class org.nd4j.autodiff.samediff.SDVariable

varNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

varNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the overall variance of all values in this INDArray

VarScalingNormalFanAvgInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: U / sqrt((fanin _ fanout) / 2)

VarScalingNormalFanAvgInitScheme(char, double, double) - Constructor for class org.nd4j.weightinit.impl.VarScalingNormalFanAvgInitScheme

VarScalingNormalFanInInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: U / fanIn

VarScalingNormalFanInInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.VarScalingNormalFanInInitScheme

VarScalingNormalFanOutInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: U / sqrt(fanout)

VarScalingNormalFanOutInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.VarScalingNormalFanOutInitScheme

VarScalingNormalUniformFanInInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: range = = 3.0 / Math.sqrt(fanIn) U(-range,range)

VarScalingNormalUniformFanInInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.VarScalingNormalUniformFanInInitScheme

VarScalingNormalUniformFanOutInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: randn(shape) //N(0, 2/nIn);

VarScalingNormalUniformFanOutInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.VarScalingNormalUniformFanOutInitScheme

VarScalingUniformFanAvgInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: range = = 3.0 / Math.sqrt((fanIn + fanOut) / 2) U(-range,range)

VarScalingUniformFanAvgInitScheme(char, double, double) - Constructor for class org.nd4j.weightinit.impl.VarScalingUniformFanAvgInitScheme

VarType - Class in org.nd4j.graph

Vector() - Constructor for class org.nd4j.graph.FlatArray.Vector

Vector() - Constructor for class org.nd4j.graph.FlatArrayList.Vector

Vector() - Constructor for class org.nd4j.graph.FlatConfiguration.Vector

Vector() - Constructor for class org.nd4j.graph.FlatDropRequest.Vector

Vector() - Constructor for class org.nd4j.graph.FlatGraph.Vector

Vector() - Constructor for class org.nd4j.graph.FlatInferenceRequest.Vector

Vector() - Constructor for class org.nd4j.graph.FlatNode.Vector

Vector() - Constructor for class org.nd4j.graph.FlatProperties.Vector

Vector() - Constructor for class org.nd4j.graph.FlatResponse.Vector

Vector() - Constructor for class org.nd4j.graph.FlatResult.Vector

Vector() - Constructor for class org.nd4j.graph.FlatTiming.Vector

Vector() - Constructor for class org.nd4j.graph.FlatVariable.Vector

Vector() - Constructor for class org.nd4j.graph.FrameIteration.Vector

Vector() - Constructor for class org.nd4j.graph.IntPair.Vector

Vector() - Constructor for class org.nd4j.graph.IntTriple.Vector

Vector() - Constructor for class org.nd4j.graph.LongPair.Vector

Vector() - Constructor for class org.nd4j.graph.LongTriple.Vector

Vector() - Constructor for class org.nd4j.graph.SequenceItem.Vector

Vector() - Constructor for class org.nd4j.graph.SequenceItemRoot.Vector

Vector() - Constructor for class org.nd4j.graph.UIAddName.Vector

Vector() - Constructor for class org.nd4j.graph.UIEvent.Vector

Vector() - Constructor for class org.nd4j.graph.UIGraphStructure.Vector

Vector() - Constructor for class org.nd4j.graph.UIHardwareState.Vector

Vector() - Constructor for class org.nd4j.graph.UIHistogram.Vector

Vector() - Constructor for class org.nd4j.graph.UIOp.Vector

Vector() - Constructor for class org.nd4j.graph.UIStaticInfoRecord.Vector

Vector() - Constructor for class org.nd4j.graph.UISummaryStatistics.Vector

Vector() - Constructor for class org.nd4j.graph.UISystemInfo.Vector

Vector() - Constructor for class org.nd4j.graph.UIVariable.Vector

Vector() - Constructor for class org.nd4j.graph.UpdaterState.Vector

vectorAlongDimension(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

vectorAlongDimension(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get the vector along a particular dimension

vectorsAlongDimension(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

vectorsAlongDimension(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the number of possible vectors for a given dimension

vectorsPerSlice(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath

The number of vectors in each slice of an ndarray.

vectorsPerSlice(INDArray, int...) - Static method in class org.nd4j.linalg.util.NDArrayMath

The number of vectors in each slice of an ndarray.

VENDOR_FIELD_NUMBER - Static variable in class tensorflow.DevicePropertiesProtos.DeviceProperties

verbose - Variable in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

VerboseAction - Class in org.nd4j.linalg.env.impl

VerboseAction() - Constructor for class org.nd4j.linalg.env.impl.VerboseAction

VERSION_CHECK_PROPERTY - Static variable in class org.nd4j.versioncheck.VersionCheck

Deprecated.

Use ND4JSystemProperties.VERSION_CHECK_PROPERTY

VERSION_DEF_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

VERSION_FIELD_NUMBER - Static variable in class onnx.Onnx.OperatorSetIdProto

VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxMl.OperatorSetIdProto

VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphDef

VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDeprecation

VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.util.BundleHeaderProto

VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.util.IteratorStateMetadata

VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.util.SaverDef

VERSION_NUMBER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto

VersionCheck - Class in org.nd4j.versioncheck

VersionCheck.Detail - Enum in org.nd4j.versioncheck

Detailed level for logging: GAV: display group ID, artifact, version GAVC: display group ID, artifact, version, commit ID FULL: display group ID, artifact, version, commit ID, build time, branch, commit message

VersionDef - Class in org.tensorflow.framework

Version information for a piece of serialized data There are different types of versions for each type of data (GraphDef, etc.), but they all have the same common shape described here.

VersionDef.Builder - Class in org.tensorflow.framework

Version information for a piece of serialized data There are different types of versions for each type of data (GraphDef, etc.), but they all have the same common shape described here.

VersionDefOrBuilder - Interface in org.tensorflow.framework

VersionInfo - Class in org.nd4j.versioncheck

VersionInfo(String) - Constructor for class org.nd4j.versioncheck.VersionInfo

VersionInfo(String, String, String) - Constructor for class org.nd4j.versioncheck.VersionInfo

VersionInfo(URI) - Constructor for class org.nd4j.versioncheck.VersionInfo

versionInfoString() - Static method in class org.nd4j.versioncheck.VersionCheck

versionInfoString(VersionCheck.Detail) - Static method in class org.nd4j.versioncheck.VersionCheck

Get the version information for dependencies as a string with a specified amount of detail

VERSIONS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphDef

VersionsProtos - Class in org.tensorflow.framework

VGG_MEAN_OFFSET_BGR - Static variable in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

VGG_MEAN_OFFSET_BGR_FLOAT - Static variable in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

VGG_MEAN_OFFSET_BGR_FLOAT16 - Static variable in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

VGG16ImagePreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor

VGG16ImagePreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor

ViewIterator - Class in org.nd4j.linalg.dataset

Iterate over a dataset with views

ViewIterator(DataSet, int) - Constructor for class org.nd4j.linalg.dataset.ViewIterator

VIRTUAL_DEVICES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions.Experimental

VISIBILITY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef

VISIBLE - org.tensorflow.framework.ApiDef.Visibility

Publicly visible in the API.

VISIBLE_DEVICE_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions

VISIBLE_VALUE - Static variable in enum org.tensorflow.framework.ApiDef.Visibility

Publicly visible in the API.

vstack(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

Concatenates two matrices vertically.

vstack(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

Concatenates two matrices vertically.

vstack(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Concatenates two matrices vertically.

vstack(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Concatenates two matrices vertically.

W

warmup(int) - Method in class org.nd4j.autodiff.listeners.profiler.ProfilingListener.Builder

Specify the number of warmup iterations - i.e., these will be excluded from profiling results

wasClosed() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

wasClosed() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

This method checks if array or its buffer was closed before

wasClosed() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

wasClosed() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks if array or its buffer was closed before

WASSERSTEIN - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

weightDecay(double, boolean) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder

Add weight decay regularization for all trainable parameters.

WeightDecay - Class in org.nd4j.linalg.learning.regularization

WeightDecay(double, boolean) - Constructor for class org.nd4j.linalg.learning.regularization.WeightDecay

WeightDecay(ISchedule, boolean) - Constructor for class org.nd4j.linalg.learning.regularization.WeightDecay

WeightedCrossEntropyLoss - Class in org.nd4j.linalg.api.ops.impl.loss

WeightedCrossEntropyLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

WeightedCrossEntropyLoss(LossReduce, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

WeightedCrossEntropyLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

WeightedCrossEntropyLoss(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

WeightedCrossEntropyLoss(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.WeightedCrossEntropyLoss

WeightInit - Enum in org.nd4j.weightinit

WeightInitScheme - Interface in org.nd4j.weightinit

weights - Variable in class org.nd4j.linalg.lossfunctions.impl.LossL1

weights - Variable in class org.nd4j.linalg.lossfunctions.impl.LossL2

weights - Variable in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

WeightsFormat - Enum in org.nd4j.enums

WeightsFormat reflects the possible formats for a convolution weight matrix.

where(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns elements that are true from the given condition array
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

where(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Similar to numpy where, takes elements from x or y depending on whether the condition at a given element is true or false
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

where(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Similar to numpy where, takes elements from x or y depending on whether the condition at a given element is true or false
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

where(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Returns elements that are true from the given condition array
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

where(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Similar to numpy where, takes elements from x or y depending on whether the condition at a given element is true or false
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

where(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Similar to numpy where, takes elements from x or y depending on whether the condition at a given element is true or false
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

where(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Returns elements that are true from the given condition array
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

where(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Similar to numpy where, takes elements from x or y depending on whether the condition at a given element is true or false
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

where(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Similar to numpy.where operation.

where(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Similar to numpy where, takes elements from x or y depending on whether the condition at a given element is true or false
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

Where - Class in org.nd4j.linalg.api.ops.impl.controlflow

Where(String, INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

Where(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

Where(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

Where(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

Where(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

Where(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

Where(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

Where(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

Where(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

Where(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where

whereNumpy(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

As implemented in numpy, Return elements chosen from x or y depending on condition.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

whereNumpy(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

As implemented in numpy, Return elements chosen from x or y depending on condition.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

whereNumpy(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

As implemented in numpy, Return elements chosen from x or y depending on condition.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.

WhereNumpy - Class in org.nd4j.linalg.api.ops.impl.controlflow

WhereNumpy(String, INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy

WhereNumpy(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy

WhereNumpy(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy

WhereNumpy(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy

WhereNumpy(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy

WhereNumpy(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy

While - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat

While(SameDiff, String, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

While(SameDiff, String, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

While(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.While

WHILE_CTXT - org.tensorflow.framework.ControlFlowContextDef.CtxtCase

WHILE_CTXT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ControlFlowContextDef

WhileContextDef - Class in org.tensorflow.framework

Protocol buffer representing a WhileContext object.

WhileContextDef.Builder - Class in org.tensorflow.framework

Protocol buffer representing a WhileContext object.

WhileContextDefOrBuilder - Interface in org.tensorflow.framework

whileLoop(SDVariable[], SameDiffSingleLambda, SameDiffLambda) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.whileLoop(String[], String, SDVariable[], SameDiffSingleLambda, SameDiffLambda)

whileLoop(String[], String, SDVariable[], SameDiffSingleLambda, SameDiffLambda) - Method in class org.nd4j.autodiff.samediff.SameDiff

Constructs a While loop using the tensorflow style control flow operations (Switch, Merge, Enter, Exit, and NextIteration) Repeatedly executes body on the loop variables and updates them with the results, until cond evaluates to false Note that cond and body lambdas are only called once to construct the graph.

whileLoop(String, SDVariable[], SameDiffSingleLambda, SameDiffLambda) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.whileLoop(String[], String, SDVariable[], SameDiffSingleLambda, SameDiffLambda)

whileLoop(SameDiff, String[], String, SDVariable[], SameDiffSingleLambda, SameDiffLambda) - Static method in class org.nd4j.autodiff.samediff.ControlFlow

Constructs a While loop using the tensorflow style control flow operations (Switch, Merge, Enter, Exit, and NextIteration)

wholeArrayDimension(int...) - Static method in class org.nd4j.linalg.api.shape.Shape

Returns true if the given array is meant for the whole dimension

width - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeArea

width - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear

width() - Method in enum org.nd4j.linalg.api.buffer.DataType

WIDTH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Image

withInputCount(int) - Method in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

Modify the current subgraph to match only if the function has the specified number of inputs

withInputMatching(int, OpPredicate) - Method in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

Require the subgraph to match the specified predicate for the specified input.
Note that this does NOT add the specified input to part of the subgraph
i.e., the subgraph matches if the input matches the predicate, but when returning the SubGraph itself, the function for this input is not added to the SubGraph

withInputSubgraph(int, OpPredicate) - Method in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

Require the subgraph to match the specified predicate for the specified input.
Note that this DOES add the specified input to part of the subgraph
i.e., the subgraph matches if the input matches the predicate, and when returning the SubGraph itself, the function for this input IS added to the SubGraph

withNameScope(String) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a name scope.

withOffset(long, long) - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer

withOutputCount(int) - Method in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

Modify the current subgraph to match only if the function has the specified number of outputs

withRoot(OpPredicate) - Static method in class org.nd4j.autodiff.samediff.transform.SubGraphPredicate

Create a SubGraphPredicate with the specified root predicate

WORDVECTORS - org.nd4j.linalg.heartbeat.reports.Task.ArchitectureType

WORK_FINISHED_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ReaderBaseState

WORK_STARTED_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ReaderBaseState

WorkerProtos - Class in org.tensorflow.distruntime

WorkerServiceProtos - Class in org.tensorflow.distruntime

workspace - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

WORKSPACE - org.nd4j.linalg.api.memory.enums.AllocationKind

Allocations for workspaces

workspaceConfiguration - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

WorkspaceConfiguration - Class in org.nd4j.linalg.api.memory.conf

WorkspaceConfiguration() - Constructor for class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration

WorkspaceDeallocatorThreadName - Static variable in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager

Deprecated.

workspaceGenerationId - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

workspaceId - Variable in class org.nd4j.linalg.dataset.AsyncDataSetIterator

workspaceId - Variable in class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator

WorkspaceMgr<T extends Enum<T>> - Interface in org.nd4j.linalg.workspace

workspaceNames - Variable in class org.nd4j.linalg.workspace.BaseWorkspaceMgr

WorkspacesBypassAction - Class in org.nd4j.linalg.env.impl

WorkspacesBypassAction() - Constructor for class org.nd4j.linalg.env.impl.WorkspacesBypassAction

WorkspacesCloseable - Class in org.nd4j.linalg.workspace

WorkspacesCloseable(MemoryWorkspace...) - Constructor for class org.nd4j.linalg.workspace.WorkspacesCloseable

WorkspacesDebugAction - Class in org.nd4j.linalg.env.impl

WorkspacesDebugAction() - Constructor for class org.nd4j.linalg.env.impl.WorkspacesDebugAction

WorkspacesSpillAction - Class in org.nd4j.linalg.env.impl

WorkspacesSpillAction() - Constructor for class org.nd4j.linalg.env.impl.WorkspacesSpillAction

workspaceType - Variable in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace

WorkspaceUtils - Class in org.nd4j.linalg.workspace

wrapFilterNull(T...) - Static method in class org.nd4j.linalg.api.ops.DynamicCustomOp

wrapOrNull(SDVariable) - Static method in class org.nd4j.linalg.api.ops.DynamicCustomOp

wrapOrNull(INDArray) - Static method in class org.nd4j.linalg.api.ops.DynamicCustomOp

wrappedBuffer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

wrappedDataBuffer - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer

write(MultiNormalizerHybrid, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy

Serialize a MultiNormalizerHybrid to a output stream

write(MultiNormalizerMinMaxScaler, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy

Serialize a MultiNormalizerMinMaxScaler to a output stream

write(MultiNormalizerStandardize, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy

Serialize a MultiNormalizerStandardize to a output stream

write(NormalizerMinMaxScaler, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy

write(Normalizer, File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer

Serialize a normalizer to the given file

write(Normalizer, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer

Serialize a normalizer to an output stream

write(Normalizer, String) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer

Serialize a normalizer to the given file path

write(NormalizerStandardize, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy

write(DataOutputStream) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

write(DataOutputStream) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

write(DataOutputStream) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

write(ObjectOutputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

write(ObjectOutputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

write(OutputStream) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer

write(OutputStream) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer

Write this buffer to the output stream

write(OutputStream, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Y Write an ndarray to a writer

write(SDVariable, int, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

write(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

write(INDArray, DataOutputStream) - Static method in class org.nd4j.linalg.factory.Nd4j

Write an ndarray to the specified outputstream

write(ImagePreProcessingScaler, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.ImagePreProcessingSerializerStrategy

write(T, OutputStream) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy

Serialize a normalizer to a output stream

writeArrayToDisk(INDArray, File) - Static method in class org.nd4j.serde.binary.BinarySerde

Write an ndarray to disk in binary format

writeArrayToOutputStream(INDArray, OutputStream) - Static method in class org.nd4j.serde.binary.BinarySerde

Write an array to an output stream.

writeAsNumpy(INDArray, File) - Static method in class org.nd4j.linalg.factory.Nd4j

Write an INDArray to a File in Numpy .npy format, which can then be loaded with numpy.load

writeAsNumpy(INDArray, OutputStream) - Static method in class org.nd4j.linalg.factory.Nd4j

Writes an array to an output stream

writeFinishStaticMarker() - Method in class org.nd4j.graph.ui.LogFileWriter

Write marker for final static data

writeGraphStructure(SameDiff) - Method in class org.nd4j.graph.ui.LogFileWriter

Write the graph structure

writeHistogramEventCustomBins(String, LogFileWriter.EventSubtype, long, int, int, INDArray, INDArray) - Method in class org.nd4j.graph.ui.LogFileWriter

writeHistogramEventDiscrete(String, LogFileWriter.EventSubtype, long, int, int, List<String>, INDArray) - Method in class org.nd4j.graph.ui.LogFileWriter

writeHistogramEventEqualSpacing(String, LogFileWriter.EventSubtype, long, int, int, double, double, INDArray) - Method in class org.nd4j.graph.ui.LogFileWriter

writeScalarEvent(String, LogFileWriter.EventSubtype, long, int, int, Number) - Method in class org.nd4j.graph.ui.LogFileWriter

Write a single scalar event to the file

writeSystemInfo(File) - Static method in class org.nd4j.systeminfo.SystemInfo

Writes system info to the given file

writeTo(CodedOutputStream) - Method in class onnx.Onnx.AttributeProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.FunctionProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.GraphProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.ModelProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.NodeProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.OperatorSetIdProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.SparseTensorProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.StringStringEntryProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TensorAnnotation

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TensorProto.Segment

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TensorProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TensorShapeProto.Dimension

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TensorShapeProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TrainingInfoProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TypeProto.Map

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TypeProto.Optional

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TypeProto.Sequence

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TypeProto.SparseTensor

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TypeProto.Tensor

writeTo(CodedOutputStream) - Method in class onnx.Onnx.TypeProto

writeTo(CodedOutputStream) - Method in class onnx.Onnx.ValueInfoProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.AttributeProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.FunctionProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.GraphProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.ModelProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.NodeProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.OperatorSetIdProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.SparseTensorProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.StringStringEntryProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TensorAnnotation

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TensorProto.Segment

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TensorProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TensorShapeProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TrainingInfoProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TypeProto.Map

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TypeProto.Opaque

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TypeProto.Optional

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TypeProto.Sequence

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TypeProto.SparseTensor

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TypeProto.Tensor

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.TypeProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxMl.ValueInfoProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxOperators.OperatorProto

writeTo(CodedOutputStream) - Method in class onnx.OnnxOperators.OperatorSetProto

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.MapperNamespace.MapperDeclaration

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.MapperNamespace.MappingDefinitionSet

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.MapperNamespace.MappingRule

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.MapperNamespace.TransformerArgs

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.OpNamespace.ArgDescriptor

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.OpNamespace.OpDescriptor

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.OpNamespace.OpDescriptorList

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.TensorNamespace.StringStringEntryProto

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.TensorNamespace.TensorProto.Segment

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.TensorNamespace.TensorProto

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.TensorNamespace.TensorShapeProto

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.TensorNamespace.TypeProto

writeTo(CodedOutputStream) - Method in class org.nd4j.ir.TensorNamespace.ValueInfoProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CleanupAllRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CleanupAllResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CleanupGraphRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CleanupGraphResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CloseSessionRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CloseSessionResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ClusterDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CompleteGroupRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CompleteGroupResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CreateSessionRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CreateSessionResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ExecutorOpts

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ExtendSessionRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ExtendSessionResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.GetStatusRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.GetStatusResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.JobDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.LabeledStepStats

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ListDevicesRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ListDevicesResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.LoggingRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.LoggingResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.MakeCallableRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.MakeCallableResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RecvBufRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RecvBufResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RecvTensorRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RecvTensorResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RegisterGraphRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RegisterGraphResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ResetRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ResetResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RunCallableRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RunCallableResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RunGraphRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RunGraphResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RunStepRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.RunStepResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.ServerDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.StepSequence

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.TraceOpts

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.TracingRequest

writeTo(CodedOutputStream) - Method in class org.tensorflow.distruntime.TracingResponse

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AllocationDescription

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AllocationRecord

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AllocatorMemoryUsed

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDef.Arg

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDef.Attr

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDef.Endpoint

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDefs

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AssetFileDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AttrValue.ListValue

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AttrValue

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AutoParallelOptions

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CallableOptions

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CollectionDef.AnyList

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CollectionDef.BytesList

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CollectionDef.FloatList

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CollectionDef.Int64List

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CollectionDef.NodeList

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CollectionDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CondContextDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ConfigProto.Experimental

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ConfigProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ControlFlowContextDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CostGraphDef.Node

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CostGraphDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CriticalSectionDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DebuggedSourceFile

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DebuggedSourceFiles

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DebugOptions

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DebugTensorWatch

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DeviceAttributes

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DeviceLocality

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DeviceStepStats

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.FunctionDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.FunctionDefLibrary

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GPUOptions.Experimental

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GPUOptions

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GradientDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphOptions

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferNodeInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferNodeInput

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.HistogramProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.InterconnectLink

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.KernelDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.LocalLinks

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogRawAllocation

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogStep

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogTensorOutput

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryStats

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MetaGraphDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.NameAttrList

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.NamedTensorProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.NodeDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.NodeExecStats

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.NodeOutput

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpDef.ArgDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpDef.AttrDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpDeprecation

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpList

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OptimizerOptions

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.QueueRunnerDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ReaderBaseState

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ResourceHandleProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RewriterConfig

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RPCOptions

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RunMetadata

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RunOptions.Experimental

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RunOptions

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SavedModel

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SaveSliceInfoDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ScopedAllocatorOptions

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SignatureDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.StepStats

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.Summary.Audio

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.Summary.Image

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.Summary.Value

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.Summary

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SummaryDescription

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SummaryMetadata

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorConnection

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorDescription

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorInfo.CooSparse

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorInfo

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorShapeProto.Dim

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorShapeProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorSliceProto.Extent

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorSliceProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ThreadPoolOptionProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ValuesDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.VariableDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.VariantTensorDataProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.VersionDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.WhileContextDef

writeTo(CodedOutputStream) - Method in class org.tensorflow.util.BundleEntryProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.util.BundleHeaderProto

writeTo(CodedOutputStream) - Method in class org.tensorflow.util.IteratorStateMetadata

writeTo(CodedOutputStream) - Method in class org.tensorflow.util.SaverDef

writeTo(CodedOutputStream) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference

writeTo(CodedOutputStream) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor

writeTo(CodedOutputStream) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference

writeTo(CodedOutputStream) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject

writeTo(CodedOutputStream) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph

writeTo(CodedOutputStream) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties

writeTo(CodedOutputStream) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest

writeTo(CodedOutputStream) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse

writeTo(CodedOutputStream) - Method in class tensorflow.TransportOptions.RecvBufRespExtra

writeTxt(INDArray, String) - Static method in class org.nd4j.linalg.factory.Nd4j

Write NDArray to a text file

writeTxt(INDArray, String, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

Defaults to scientific notation with 18 digits after the decimal Use Nd4j.writeTxt(INDArray, String)

writeTxt(INDArray, String, String) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

custom col and higher dimension separators are no longer supported; uses "," Use Nd4j.writeTxt(INDArray, String)

writeTxt(INDArray, String, String, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Deprecated.

Precision is no longer used. Split is no longer used. Defaults to scientific notation with 18 digits after the decimal Use Nd4j.writeTxt(INDArray, String)

X

x - Variable in class org.nd4j.linalg.api.ops.BaseOp

x() - Method in class org.nd4j.linalg.api.ops.BaseOp

x() - Method in interface org.nd4j.linalg.api.ops.Op

The origin ndarray

x() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

X - org.nd4j.autodiff.listeners.profiler.data.Phase

XAVIER - org.nd4j.weightinit.WeightInit

XAVIER_FAN_IN - org.nd4j.weightinit.WeightInit

XAVIER_LEGACY - org.nd4j.weightinit.WeightInit

XAVIER_UNIFORM - org.nd4j.weightinit.WeightInit

XavierFanInInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: randn(shape) //N(0, 2/nIn);

XavierFanInInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.XavierFanInInitScheme

XavierInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to: range = = U * sqrt(2.0 / (fanIn + fanOut)

XavierInitScheme(char, double, double) - Constructor for class org.nd4j.weightinit.impl.XavierInitScheme

XavierUniformInitScheme - Class in org.nd4j.weightinit.impl

XavierUniformInitScheme(char, double, double) - Constructor for class org.nd4j.weightinit.impl.XavierUniformInitScheme

XENT - org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

xor(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise XOR operation (exclusive OR).

xor(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Boolean XOR (exclusive OR) operation: elementwise (x != 0) XOR (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

xor(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise

Bitwise XOR operation (exclusive OR).

xor(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Boolean XOR (exclusive OR) operation: elementwise (x != 0) XOR (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

xor(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise

Bitwise XOR operation (exclusive OR).

xor(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Boolean XOR (exclusive OR) operation: elementwise (x != 0) XOR (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.

xor(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Xor - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool

Xor() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

Xor(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

Xor(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

Xor(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

Xor(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

Xor(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor

xVertexId - Variable in class org.nd4j.linalg.api.ops.BaseOp

XwPlusB - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

XwPlusB(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.XwPlusB

XwPlusB(INDArray[], INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.XwPlusB

XwPlusB(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.XwPlusB

Y

y - Variable in class org.nd4j.linalg.api.ops.BaseOp

y() - Method in class org.nd4j.graph.UIHistogram

y() - Method in class org.nd4j.linalg.api.ops.BaseOp

y() - Method in interface org.nd4j.linalg.api.ops.Op

The pairwise op ndarray

y() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace

y(FlatArray) - Method in class org.nd4j.graph.UIHistogram

yiqToRgb(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting image from YIQ to RGB format

yiqToRgb(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting image from YIQ to RGB format

yiqToRgb(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDImage

Converting image from YIQ to RGB format

YiqToRgb - Class in org.nd4j.linalg.api.ops.custom

YiqToRgb(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.YiqToRgb

YiqToRgb(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.YiqToRgb

yuvToRgb(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting image from YUV to RGB format

yuvToRgb(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDImage

Converting image from YUV to RGB format

yuvToRgb(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDImage

Converting image from YUV to RGB format

YuvToRgb - Class in org.nd4j.linalg.api.ops.custom

YuvToRgb(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.YuvToRgb

YuvToRgb(INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.YuvToRgb

yVertexId - Variable in class org.nd4j.linalg.api.ops.BaseOp

YXIO - org.nd4j.enums.WeightsFormat

Z

z - Variable in class org.nd4j.linalg.api.ops.BaseOp

z() - Method in class org.nd4j.linalg.api.ops.BaseOp

z() - Method in class org.nd4j.linalg.api.ops.BaseScalarBoolOp

z() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp

z() - Method in class org.nd4j.linalg.api.ops.BaseTransformOp

z() - Method in interface org.nd4j.linalg.api.ops.Op

The resulting ndarray

zero(String, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.zero(String, DataType, int...).

zero(String, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

See SameDiff.zero(String, DataType, long...).

zero(String, DataType, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new variable with the specified shape, with all values initialized to 0.

zero(String, DataType, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff

Create a new variable with the specified shape, with all values initialized to 0.

Zero - Class in org.nd4j.linalg.indexing.functions

Zero() - Constructor for class org.nd4j.linalg.indexing.functions.Zero

ZERO - org.nd4j.weightinit.WeightInit

zeroFraction(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Full array zero fraction array reduction operation, optionally along specified dimensions: out = (count(x == 0) / length(x))

zeroFraction(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath

Full array zero fraction array reduction operation, optionally along specified dimensions: out = (count(x == 0) / length(x))

zeroFraction(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath

Full array zero fraction array reduction operation, optionally along specified dimensions: out = (count(x == 0) / length(x))

ZeroFraction - Class in org.nd4j.linalg.api.ops.impl.reduce

ZeroFraction(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.ZeroFraction

ZeroFraction(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.ZeroFraction

ZeroInitScheme - Class in org.nd4j.weightinit.impl

Initialize the weight to zero.

ZeroInitScheme(char) - Constructor for class org.nd4j.weightinit.impl.ZeroInitScheme

zeroInputOpsInSubgraph - Variable in class org.nd4j.autodiff.samediff.internal.AbstractSession

Contains the names of ops that don't have any inputs.

zeros(@lombok.NonNull int...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an ndarray of zeros

zeros(@lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an ndarray of zeros

zeros(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Create an ndarray of zeros

zeros(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Create an ndarray of zeros

zeros(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create an ndarray of zeros

zeros(int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[], int[])

zeros(int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int[] , int[] , long )

zeros(int[], DataType) - Static method in class org.nd4j.linalg.factory.Nd4j

zeros(int, char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a 1D float array in soecified order initialized with zero.

zeros(int, int, char) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a 2D array initialized with zeros.

zeros(int, int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

See {@link @see #create(int, int, int[], char)}

zeros(int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.create(int , int , int[] , long )

zeros(long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates a row vector with the specified number of columns

zeros(long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates a row vector with the specified number of columns

zeros(long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

zeros(long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

zeros(long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

See Nd4j.zeros(int[] , char)

zeros(long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Creates a row vector with the specified number of columns

zeros(long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Creates a row vector with the specified number of columns

zeros(DataType, @lombok.NonNull long...) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an array with the specified data tyoe and shape initialized with zero.

zerosLike(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a variable of all 0s, with the same shape as the input variable.

zerosLike(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps

Return a variable of all 0s, with the same shape as the input variable.

zerosLike(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Empty like

zerosLike(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBase

Return a variable of all 0s, with the same shape as the input variable.

ZerosLike - Class in org.nd4j.linalg.api.ops.impl.shape

ZerosLike(String, SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

ZerosLike(String, SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

ZerosLike(String, SameDiff, SDVariable, boolean, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

ZerosLike(String, SameDiff, SDVariable, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

ZerosLike(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

ZerosLike(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

ZerosLike(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

ZerosLike(INDArray, INDArray, DataType) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike

Zeta - Class in org.nd4j.linalg.api.ops.impl.transforms.custom

Zeta() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Zeta

Zeta(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Zeta

zVertexId - Variable in class org.nd4j.linalg.api.ops.BaseOp

_

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatArray.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatArrayList.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatConfiguration.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatDropRequest.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatGraph.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatInferenceRequest.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatNode.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatProperties.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatResponse.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatResult.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatTiming.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FlatVariable.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.FrameIteration.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.IntPair.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.IntTriple.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.LongPair.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.LongTriple.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.SequenceItem.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.SequenceItemRoot.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UIAddName.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UIEvent.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UIGraphStructure.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UIHardwareState.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UIHistogram.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UIOp.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UIStaticInfoRecord.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UISummaryStatistics.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UISystemInfo.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UIVariable.Vector

__assign(int, int, ByteBuffer) - Method in class org.nd4j.graph.UpdaterState.Vector

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatArray

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatArrayList

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatConfiguration

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatDropRequest

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatGraph

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatInferenceRequest

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatNode

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatProperties

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatResponse

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatResult

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatTiming

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FlatVariable

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.FrameIteration

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.IntPair

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.IntTriple

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.LongPair

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.LongTriple

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.SequenceItem

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.SequenceItemRoot

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UIAddName

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UIEvent

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UIGraphStructure

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UIHardwareState

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UIHistogram

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UIOp

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UIStaticInfoRecord

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UISummaryStatistics

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UISystemInfo

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UIVariable

__assign(int, ByteBuffer) - Method in class org.nd4j.graph.UpdaterState

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatArray

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatArrayList

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatConfiguration

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatDropRequest

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatGraph

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatInferenceRequest

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatNode

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatProperties

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatResponse

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatResult

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatTiming

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FlatVariable

__init(int, ByteBuffer) - Method in class org.nd4j.graph.FrameIteration

__init(int, ByteBuffer) - Method in class org.nd4j.graph.IntPair

__init(int, ByteBuffer) - Method in class org.nd4j.graph.IntTriple

__init(int, ByteBuffer) - Method in class org.nd4j.graph.LongPair

__init(int, ByteBuffer) - Method in class org.nd4j.graph.LongTriple

__init(int, ByteBuffer) - Method in class org.nd4j.graph.SequenceItem

__init(int, ByteBuffer) - Method in class org.nd4j.graph.SequenceItemRoot

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UIAddName

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UIEvent

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UIGraphStructure

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UIHardwareState

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UIHistogram

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UIOp

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UIStaticInfoRecord

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UISummaryStatistics

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UISystemInfo

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UIVariable

__init(int, ByteBuffer) - Method in class org.nd4j.graph.UpdaterState

_START_VERSION - onnx.Onnx.Version

proto3 requires the first enum value to be zero.

_START_VERSION - onnx.OnnxMl.Version

proto3 requires the first enum value to be zero.

_START_VERSION_VALUE - Static variable in enum onnx.Onnx.Version

proto3 requires the first enum value to be zero.

_START_VERSION_VALUE - Static variable in enum onnx.OnnxMl.Version

proto3 requires the first enum value to be zero.

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