All Classes Interface Summary Class Summary Enum Summary Exception Summary Error Summary
| Class |
Description |
| Abs |
|
| AbsoluteDifferenceLoss |
|
| AbsoluteDifferenceLossBp |
|
| AbsoluteEquals |
|
| AbstractDataSetNormalizer<S extends NormalizerStats> |
|
| AbstractDependencyTracker<T,D> |
|
| AbstractMemoryMgr |
|
| AbstractMultiDataSetNormalizer<S extends NormalizerStats> |
|
| AbstractNormalizer |
|
| AbstractSession<T,O> |
|
| AbstractSession.ExecStep |
ExecStep represents a single execution step, for a single op (or
variable/constant etc) at a specific frame/iteration
|
| AbstractSession.ExecType |
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 |
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> |
|
| AbsValueGreaterOrEqualsThan |
|
| AbsValueGreaterThan |
|
| AbsValueLessOrEqualsThan |
|
| AbsValueLessThan |
|
| ACos |
|
| ACosh |
|
| Activation |
|
| ActivationCube |
f(x) = x^3
|
| ActivationELU |
|
| ActivationGELU |
|
| ActivationGradientCheckListener |
|
| ActivationHardSigmoid |
f(x) = min(1, max(0, 0.2*x + 0.5))
|
| ActivationHardTanH |
⎧ 1, if x > 1
f(x) = ⎨ -1, if x < -1
⎩ x, otherwise
|
| ActivationIdentity |
f(x) = x
|
| ActivationLReLU |
Leaky RELU
f(x) = max(0, x) + alpha * min(0, x)
alpha defaults to 0.01
|
| ActivationMish |
https://arxiv.org/ftp/arxiv/papers/1908/1908.08681.pdf
|
| ActivationPReLU |
|
| ActivationRationalTanh |
|
| ActivationRectifiedTanh |
|
| ActivationReLU |
f(x) = max(0, x)
|
| ActivationReLU6 |
|
| ActivationRReLU |
|
| ActivationSELU |
https://arxiv.org/pdf/1706.02515.pdf
|
| ActivationSigmoid |
f(x) = 1 / (1 + exp(-x))
|
| ActivationSoftmax |
f_i(x) = exp(x_i - shift) / sum_j exp(x_j - shift)
where shift = max_i(x_i)
|
| ActivationSoftPlus |
f(x) = log(1+e^x)
|
| ActivationSoftSign |
f_i(x) = x_i / (1+|x_i|)
|
| ActivationSwish |
f(x) = x * sigmoid(x)
|
| ActivationTanH |
f(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
|
| ActivationThresholdedReLU |
Thresholded RELU
f(x) = x for x > theta, f(x) = 0 otherwise.
|
| AdaBelief |
AdaBelief
https://arxiv.org/pdf/2010.07468.pdf
|
| AdaBelief.Builder |
|
| AdaBeliefUpdater |
|
| AdaBeliefUpdater |
|
| AdaDelta |
|
| AdaDelta.Builder |
|
| AdaDeltaUpdater |
|
| AdaDeltaUpdater |
|
| AdaGrad |
|
| AdaGrad |
|
| AdaGrad.Builder |
|
| AdaGradUpdater |
|
| AdaGradUpdater |
|
| Adam |
The Adam updater.
|
| Adam.Builder |
|
| AdaMax |
The AdaMax updater, a variant of Adam.
|
| AdaMax.Builder |
|
| AdaMaxUpdater |
|
| AdaMaxUpdater |
The AdaMax updater, a variant of Adam.
|
| AdamUpdater |
|
| AdamUpdater |
The Adam updater.
|
| AddBpOp |
|
| AddOp |
Addition operation
|
| AdjustContrast |
|
| AdjustHue |
|
| AdjustSaturation |
|
| AffinityManager |
|
| AffinityManager.Location |
|
| Aggregate |
|
| AggregateAxpy |
Deprecated. |
| AggregateGEMM |
|
| All |
|
| AllocationDescription |
Protobuf type tensorflow.AllocationDescription
|
| AllocationDescription.Builder |
Protobuf type tensorflow.AllocationDescription
|
| AllocationDescriptionOrBuilder |
|
| AllocationDescriptionProtos |
|
| AllocationKind |
|
| AllocationPolicy |
|
| AllocationRecord |
An allocation/de-allocation operation performed by the allocator.
|
| AllocationRecord.Builder |
An allocation/de-allocation operation performed by the allocator.
|
| AllocationRecordOrBuilder |
|
| AllocationsTracker |
|
| AllocatorMemoryUsed |
Protobuf type tensorflow.AllocatorMemoryUsed
|
| AllocatorMemoryUsed.Builder |
Protobuf type tensorflow.AllocatorMemoryUsed
|
| AllocatorMemoryUsedOrBuilder |
|
| AllocUtil |
|
| AlphaDropOut |
|
| AMax |
|
| AMax |
|
| AMean |
|
| AMin |
|
| AMin |
|
| AMSGrad |
|
| AMSGrad.Builder |
|
| AmsGradUpdater |
|
| AMSGradUpdater |
|
| And |
|
| And |
|
| Angle |
|
| Any |
|
| ApiDef |
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 |
Protobuf type tensorflow.ApiDef.Arg
|
| ApiDef.Arg.Builder |
Protobuf type tensorflow.ApiDef.Arg
|
| ApiDef.ArgOrBuilder |
|
| ApiDef.Attr |
Description of the graph-construction-time configuration of this
Op.
|
| ApiDef.Attr.Builder |
Description of the graph-construction-time configuration of this
Op.
|
| ApiDef.AttrOrBuilder |
|
| ApiDef.Builder |
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 |
If you specify any endpoint, this will replace all of the
inherited endpoints.
|
| ApiDef.Endpoint.Builder |
If you specify any endpoint, this will replace all of the
inherited endpoints.
|
| ApiDef.EndpointOrBuilder |
|
| ApiDef.Visibility |
Protobuf enum tensorflow.ApiDef.Visibility
|
| ApiDefOrBuilder |
|
| ApiDefProtos |
|
| ApiDefs |
Protobuf type tensorflow.ApiDefs
|
| ApiDefs.Builder |
Protobuf type tensorflow.ApiDefs
|
| ApiDefsOrBuilder |
|
| ApplyGradientDescent |
|
| ArgAmax |
|
| ArgAmin |
|
| ArgMax |
|
| ArgMin |
|
| ArgumentInterceptor |
|
| ArrayCacheMemoryMgr |
|
| ArrayDescriptor |
|
| ArrayHolder |
|
| ArrayOptionsHelper |
|
| ArraySavingListener |
|
| ArrayType |
|
| ArrayType |
|
| ASin |
|
| ASinh |
|
| Assert |
|
| AssetFileDef |
An asset file def for a single file or a set of sharded files with the same
name.
|
| AssetFileDef.Builder |
An asset file def for a single file or a set of sharded files with the same
name.
|
| AssetFileDefOrBuilder |
|
| Assign |
|
| Assign |
|
| ASum |
|
| AsyncDataSetIterator |
|
| AsyncMultiDataSetIterator |
|
| At |
|
| ATan |
|
| ATan2 |
|
| ATanh |
|
| AtomicThrowable |
|
| AttributeAdapter |
|
| AttrValue |
Protocol buffer representing the value for an attr used to configure an Op.
|
| AttrValue.Builder |
Protocol buffer representing the value for an attr used to configure an Op.
|
| AttrValue.ListValue |
LINT.IfChange
|
| AttrValue.ListValue.Builder |
LINT.IfChange
|
| AttrValue.ListValueOrBuilder |
|
| AttrValue.ValueCase |
|
| AttrValueOrBuilder |
|
| AttrValueProtos |
|
| AutoParallelOptions |
Protobuf type tensorflow.AutoParallelOptions
|
| AutoParallelOptions.Builder |
Protobuf type tensorflow.AutoParallelOptions
|
| AutoParallelOptionsOrBuilder |
|
| AveragingTransactionsHolder |
|
| AvgPooling2D |
Average Pooling2D operation
|
| AvgPooling2D.Pooling2DType |
|
| AvgPooling3D |
|
| Axpy |
|
| BalanceMinibatches |
|
| BarnesEdgeForces |
|
| BarnesHutGains |
|
| BarnesHutSymmetrize |
|
| BaseActivationFunction |
|
| BaseAggregate |
|
| BaseArithmeticBackpropOp |
|
| BaseBlasWrapper |
Base implementation of a blas wrapper that
delegates things to the underlying level.
|
| BaseBroadcastBoolOp |
|
| BaseBroadcastOp |
|
| BaseCompatOp |
|
| BaseCondition |
|
| BaseConvolution |
|
| BaseConvolutionConfig |
|
| BaseCurve |
|
| BaseDataBuffer |
|
| BaseDataFetcher |
|
| BaseDatasetIterator |
|
| BaseDistribution |
|
| BaseDynamicCustomBoolReduction |
|
| BaseDynamicCustomIndexReduction |
|
| BaseDynamicCustomLongReduction |
|
| BaseDynamicCustomReduction |
Base class for reduction.
|
| BaseDynamicTransformOp |
|
| BaseEvaluation<T extends BaseEvaluation> |
|
| BaseEvaluationListener |
|
| BaseGridOp |
|
| BaseHistogram |
|
| BaseIndexAccumulation |
|
| BaseLapack |
|
| BaseLegacyDeserializer<T> |
|
| BaseLevel |
|
| BaseLevel1 |
|
| BaseLevel2 |
|
| BaseLevel3 |
|
| BaseListener |
|
| BaseLoss |
|
| BaseLossBp |
|
| BaseMetaOp |
|
| BaseNDArray |
|
| BaseNDArrayFactory |
|
| BaseNDArrayList<X extends Number> |
|
| BaseNDArrayProxy |
|
| BaseOp |
|
| BaseOpContext |
|
| BaseOptimizerSet |
|
| BaseRandomOp |
|
| BaseReduce3Op |
|
| BaseReduceBoolOp |
|
| BaseReduceFloatOp |
|
| BaseReduceLongOp |
|
| BaseReduceOp |
|
| BaseReduceSameOp |
|
| BaseReductionBp |
|
| BaseScalarBoolOp |
|
| BaseScalarOp |
|
| BaseShapeInfoProvider |
|
| BaseTensorOp |
|
| BaseTransformAnyOp |
|
| BaseTransformBoolOp |
|
| BaseTransformFloatOp |
|
| BaseTransformOp |
|
| BaseTransformSameOp |
|
| BaseTransformStrictOp |
|
| BaseUnderSamplingPreProcessor |
|
| BaseWeightInitScheme |
|
| BaseWorkspaceMgr<T extends Enum<T>> |
|
| BasicAffinityManager |
|
| BasicConstantHandler |
|
| BasicDistributedINDArray |
|
| BasicMemoryManager |
|
| BasicNDArrayCompressor |
|
| BasicStash<T> |
|
| BasicStashManager |
|
| BasicWorkspaceManager |
|
| Batch<T extends Aggregate> |
|
| BatchMmul |
|
| BatchNorm |
|
| BatchNormDerivative |
|
| BatchOutputConfig |
|
| BatchToSpace |
|
| BatchToSpaceND |
|
| BernoulliDistribution |
|
| BetaInc |
|
| BiasAdd |
Bias addition gradient operation.
|
| BiasAddGrad |
|
| BinaryMinimalRelativeError |
|
| BinaryRelativeError |
|
| BinarySerde |
|
| BinCount |
|
| BinomialDistribution |
|
| BinomialDistribution |
|
| BinomialDistributionEx |
|
| BitCast |
|
| BitsHammingDistance |
|
| BitwiseAnd |
|
| BitwiseOr |
|
| BitwiseXor |
|
| Blas |
|
| Blas.Vendor |
|
| BlasBufferUtil |
Blas buffer util for interopping with the underlying buffers
and the given ndarrays
|
| BlasException |
|
| BlasWrapper |
|
| BlockDataSetIterator |
|
| BlockMultiDataSetIterator |
|
| BooleanAdapter |
|
| BooleanIndexing |
Boolean indexing
|
| BooleanNot |
|
| Broadcast |
|
| BroadcastAddOp |
|
| BroadcastAMax |
|
| BroadcastAMin |
|
| BroadcastCopyOp |
|
| BroadcastDivOp |
|
| BroadcastDynamicShape |
|
| BroadcastEqualTo |
|
| BroadcastGradientArgs |
|
| BroadcastGreaterThan |
|
| BroadcastGreaterThanOrEqual |
|
| BroadcastLessThan |
|
| BroadcastLessThanOrEqual |
|
| BroadcastMax |
|
| BroadcastMin |
|
| BroadcastMulOp |
|
| BroadcastNotEqual |
|
| BroadcastOp |
|
| BroadcastRDivOp |
|
| BroadcastRSubOp |
|
| BroadcastSubOp |
|
| BroadcastTo |
|
| BundleEntryProto |
Describes the metadata related to a checkpointed tensor.
|
| BundleEntryProto.Builder |
Describes the metadata related to a checkpointed tensor.
|
| BundleEntryProtoOrBuilder |
|
| BundleHeaderProto |
Special header that is associated with a bundle.
|
| BundleHeaderProto.Builder |
Special header that is associated with a bundle.
|
| BundleHeaderProto.Endianness |
An enum indicating the endianness of the platform that produced this
bundle.
|
| BundleHeaderProtoOrBuilder |
|
| ByteOrder |
|
| CachingDataSetIterator |
|
| CallableOptions |
Defines a subgraph in another `GraphDef` as a set of feed points and nodes
to be fetched or executed.
|
| CallableOptions.Builder |
Defines a subgraph in another `GraphDef` as a set of feed points and nodes
to be fetched or executed.
|
| CallableOptionsOrBuilder |
|
| Cast |
|
| CbowRound |
|
| Ceil |
|
| CellAct |
Activations
|
| CheckNumerics |
|
| Checkpoint |
|
| CheckpointableObjectGraphOuterClass |
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph |
Protobuf type tensorflow.CheckpointableObjectGraph
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder |
Protobuf type tensorflow.CheckpointableObjectGraph
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject |
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder |
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference |
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder |
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder |
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor |
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder |
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder |
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference |
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder |
Protobuf type tensorflow.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder |
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder |
|
| CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder |
|
| CheckpointListener |
|
| CheckpointListener.Builder |
|
| CheckUtil |
|
| Choice |
|
| Cholesky |
|
| Choose |
|
| CleanupAllRequest |
Protobuf type tensorflow.CleanupAllRequest
|
| CleanupAllRequest.Builder |
Protobuf type tensorflow.CleanupAllRequest
|
| CleanupAllRequestOrBuilder |
|
| CleanupAllResponse |
Protobuf type tensorflow.CleanupAllResponse
|
| CleanupAllResponse.Builder |
Protobuf type tensorflow.CleanupAllResponse
|
| CleanupAllResponseOrBuilder |
|
| CleanupGraphRequest |
Protobuf type tensorflow.CleanupGraphRequest
|
| CleanupGraphRequest.Builder |
Protobuf type tensorflow.CleanupGraphRequest
|
| CleanupGraphRequestOrBuilder |
|
| CleanupGraphResponse |
Protobuf type tensorflow.CleanupGraphResponse
|
| CleanupGraphResponse.Builder |
Protobuf type tensorflow.CleanupGraphResponse
|
| CleanupGraphResponseOrBuilder |
|
| ClipByAvgNorm |
|
| ClipByNorm |
|
| ClipByNormBp |
|
| ClipByValue |
|
| CloseSessionRequest |
Protobuf type tensorflow.CloseSessionRequest
|
| CloseSessionRequest.Builder |
Protobuf type tensorflow.CloseSessionRequest
|
| CloseSessionRequestOrBuilder |
|
| CloseSessionResponse |
Protobuf type tensorflow.CloseSessionResponse
|
| CloseSessionResponse.Builder |
Protobuf type tensorflow.CloseSessionResponse
|
| CloseSessionResponseOrBuilder |
|
| ClusterDef |
Defines a TensorFlow cluster as a set of jobs.
|
| ClusterDef.Builder |
Defines a TensorFlow cluster as a set of jobs.
|
| ClusterDefOrBuilder |
|
| ClusterProtos |
|
| Code |
The canonical error codes for TensorFlow APIs.
|
| Col2Im |
|
| CollectionDef |
CollectionDef should cover most collections.
|
| CollectionDef.AnyList |
AnyList is used for collecting Any protos.
|
| CollectionDef.AnyList.Builder |
AnyList is used for collecting Any protos.
|
| CollectionDef.AnyListOrBuilder |
|
| CollectionDef.Builder |
CollectionDef should cover most collections.
|
| CollectionDef.BytesList |
BytesList is used for collecting strings and serialized protobufs.
|
| CollectionDef.BytesList.Builder |
BytesList is used for collecting strings and serialized protobufs.
|
| CollectionDef.BytesListOrBuilder |
|
| CollectionDef.FloatList |
FloatList is used for collecting float values.
|
| CollectionDef.FloatList.Builder |
FloatList is used for collecting float values.
|
| CollectionDef.FloatListOrBuilder |
|
| CollectionDef.Int64List |
Int64List is used for collecting int, int64 and long values.
|
| CollectionDef.Int64List.Builder |
Int64List is used for collecting int, int64 and long values.
|
| CollectionDef.Int64ListOrBuilder |
|
| CollectionDef.KindCase |
|
| CollectionDef.NodeList |
NodeList is used for collecting nodes in graph.
|
| CollectionDef.NodeList.Builder |
NodeList is used for collecting nodes in graph.
|
| CollectionDef.NodeListOrBuilder |
|
| CollectionDefOrBuilder |
|
| ColorName |
|
| ComparableAtomicLong |
|
| CompareAndBitpack |
|
| CompareAndReplace |
|
| CompareAndSet |
|
| CompatSparseToDense |
|
| CompatStringSplit |
|
| CompleteGroupRequest |
Supplies one or more device names as members of the group identified by
group_key.
|
| CompleteGroupRequest.Builder |
Supplies one or more device names as members of the group identified by
group_key.
|
| CompleteGroupRequestOrBuilder |
|
| CompleteGroupResponse |
Gives the complete membership of the group identified by group_key.
|
| CompleteGroupResponse.Builder |
Gives the complete membership of the group identified by group_key.
|
| CompleteGroupResponseOrBuilder |
|
| CompleteInstanceRequest |
Supplies data about one collective op belonging to the instance identified
by instance_key.
|
| CompleteInstanceRequest.Builder |
Supplies data about one collective op belonging to the instance identified
by instance_key.
|
| CompleteInstanceRequestOrBuilder |
|
| CompleteInstanceResponse |
Confirms that every op in the instance has consistently declared itself.
|
| CompleteInstanceResponse.Builder |
Confirms that every op in the instance has consistently declared itself.
|
| CompleteInstanceResponseOrBuilder |
|
| CompositeDataSetPreProcessor |
|
| CompositeMultiDataSetPreProcessor |
|
| CompressedDataBuffer |
|
| CompressionAlgorithm |
|
| CompressionDescriptor |
|
| CompressionType |
|
| CompressionUtils |
|
| Concat |
|
| ConcatBp |
|
| CondContextDef |
Protocol buffer representing a CondContext object.
|
| CondContextDef.Builder |
Protocol buffer representing a CondContext object.
|
| CondContextDefOrBuilder |
|
| Condition |
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
|
| ConditionalFieldValueIntIndexArrayAdapter |
|
| ConditionalFieldValueNDArrayShapeAdapter |
|
| ConditionBuilder |
|
| ConditionEquals |
|
| Conditions |
|
| Conditions.ConditionMode |
|
| Config |
|
| ConfigProto |
Session configuration parameters.
|
| ConfigProto.Builder |
Session configuration parameters.
|
| ConfigProto.Experimental |
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 |
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 |
|
| ConfigProtoOrBuilder |
|
| ConfigProtos |
|
| ConfusionMatrix<T extends Comparable<? super T>> |
|
| ConfusionMatrix |
|
| ConfusionMatrixDeserializer |
|
| ConfusionMatrixSerializer |
|
| ConstantDistribution |
|
| ConstantFunctionOptimizations |
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.FoldConstantFunctions |
|
| ConstantHandler |
|
| ConstantInitScheme |
Initialize the weight to zero.
|
| ControlFlow |
Top level class for looping constructs in samediff.
|
| ControlFlow.LoopArgs |
|
| ControlFlow.LoopLambdaArgs |
|
| ControlFlow.LoopParams |
|
| ControlFlowContextDef |
Container for any kind of control flow context.
|
| ControlFlowContextDef.Builder |
Container for any kind of control flow context.
|
| ControlFlowContextDef.CtxtCase |
|
| ControlFlowContextDefOrBuilder |
|
| ControlflowListener |
|
| ControlFlowProtos |
|
| Conv1D |
|
| Conv1DConfig |
|
| Conv1DDerivative |
|
| Conv2D |
|
| Conv2DConfig |
|
| Conv2DDerivative |
|
| Conv3D |
|
| Conv3DConfig |
|
| Conv3DDerivative |
|
| ConvConfigUtil |
|
| Convolution |
|
| Convolution.Type |
|
| ConvolutionInstance |
|
| CoordinateFunction |
|
| CoordinateTransformationMode |
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
|
| CopyOp |
|
| Cos |
|
| Cosh |
|
| CosineDistance |
|
| CosineDistanceLoss |
|
| CosineDistanceLossBp |
|
| CosineSimilarity |
|
| CostGraphDef |
Protobuf type tensorflow.CostGraphDef
|
| CostGraphDef.Builder |
Protobuf type tensorflow.CostGraphDef
|
| CostGraphDef.Node |
Protobuf type tensorflow.CostGraphDef.Node
|
| CostGraphDef.Node.Builder |
Protobuf type tensorflow.CostGraphDef.Node
|
| CostGraphDef.Node.InputInfo |
Inputs of this node.
|
| CostGraphDef.Node.InputInfo.Builder |
Inputs of this node.
|
| CostGraphDef.Node.InputInfoOrBuilder |
|
| CostGraphDef.Node.OutputInfo |
Outputs of this node.
|
| CostGraphDef.Node.OutputInfo.Builder |
Outputs of this node.
|
| CostGraphDef.Node.OutputInfoOrBuilder |
|
| CostGraphDef.NodeOrBuilder |
|
| CostGraphDefOrBuilder |
|
| CostGraphProtos |
|
| CountNonZero |
|
| CountZero |
|
| Create |
|
| CreateSessionRequest |
Protobuf type tensorflow.CreateSessionRequest
|
| CreateSessionRequest.Builder |
Protobuf type tensorflow.CreateSessionRequest
|
| CreateSessionRequestOrBuilder |
|
| CreateSessionResponse |
Protobuf type tensorflow.CreateSessionResponse
|
| CreateSessionResponse.Builder |
Protobuf type tensorflow.CreateSessionResponse
|
| CreateSessionResponseOrBuilder |
|
| CreateView |
|
| CreateWorkerSessionRequest |
Protobuf type tensorflow.CreateWorkerSessionRequest
|
| CreateWorkerSessionRequest.Builder |
Protobuf type tensorflow.CreateWorkerSessionRequest
|
| CreateWorkerSessionRequestOrBuilder |
|
| CreateWorkerSessionResponse |
Protobuf type tensorflow.CreateWorkerSessionResponse
|
| CreateWorkerSessionResponse.Builder |
Protobuf type tensorflow.CreateWorkerSessionResponse
|
| CreateWorkerSessionResponseOrBuilder |
|
| CReLU |
|
| CReluBp |
|
| CriticalSectionDef |
Protocol buffer representing a CriticalSection.
|
| CriticalSectionDef.Builder |
Protocol buffer representing a CriticalSection.
|
| CriticalSectionDefOrBuilder |
|
| CriticalSectionExecutionDef |
Protocol buffer representing a CriticalSection execution.
|
| CriticalSectionExecutionDef.Builder |
Protocol buffer representing a CriticalSection execution.
|
| CriticalSectionExecutionDefOrBuilder |
|
| CriticalSectionProtos |
|
| CropAndResize |
|
| CropAndResize.Method |
|
| CropAndResizeDataSetPreProcessor |
|
| CropAndResizeDataSetPreProcessor.ResizeMethod |
|
| Cross |
|
| CtcLoss |
|
| CtcLossBp |
|
| Cube |
|
| CubeBp |
|
| CubeDerivative |
Deprecated. |
| CuDNNFunctionOptimizations |
|
| CuDNNFunctionOptimizations.CudnnConv2dNCHWtoNHWCConversion |
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 |
|
| CumProdBp |
|
| CumSum |
|
| CumSumBp |
|
| CustomEvaluation<T> |
|
| CustomEvaluation.Metric<T> |
The metric used to get a score for the CustomEvaluation.
|
| CustomOp |
|
| CustomOpDescriptor |
|
| CustomSerializerStrategy<T extends Normalizer> |
|
| CycleSchedule |
|
| CyclicRShiftBits |
|
| CyclicShiftBits |
|
| DataBuffer |
|
| DataBuffer.AllocationMode |
Mainly used for backward compatability.
|
| DataBuffer.TypeEx |
|
| DataBufferFactory |
|
| DataFormat |
Data format: "NCHW" or "NHWC"
|
| DataNormalization |
|
| DataSet |
|
| DataSet |
|
| DataSetCache |
|
| DataSetCallback |
|
| DataSetFetcher |
|
| DataSetIterator |
|
| DataSetIteratorFactory |
|
| DataSetPreProcessor |
|
| DataSetUtil |
|
| DataSetUtils |
|
| DataType |
Enum lists supported data types.
|
| DataType |
LINT.IfChange
|
| DataTypeAdapter |
|
| DataTypeEx |
|
| DataTypeUtil |
|
| DataTypeValidation |
Data opType validation
|
| Deallocatable |
|
| DeallocatableReference |
|
| Deallocator |
|
| DeallocatorService |
|
| DebugAction |
|
| DebuggedSourceFile |
Protobuf type tensorflow.DebuggedSourceFile
|
| DebuggedSourceFile.Builder |
Protobuf type tensorflow.DebuggedSourceFile
|
| DebuggedSourceFileOrBuilder |
|
| DebuggedSourceFiles |
Protobuf type tensorflow.DebuggedSourceFiles
|
| DebuggedSourceFiles.Builder |
Protobuf type tensorflow.DebuggedSourceFiles
|
| DebuggedSourceFilesOrBuilder |
|
| DebugMode |
|
| DebugOptions |
EXPERIMENTAL.
|
| DebugOptions.Builder |
EXPERIMENTAL.
|
| DebugOptionsOrBuilder |
|
| DebugProtos |
|
| DebugTensorWatch |
EXPERIMENTAL.
|
| DebugTensorWatch.Builder |
EXPERIMENTAL.
|
| DebugTensorWatchOrBuilder |
|
| DecodeBitmap |
|
| DecodeThreshold |
|
| DeConv2D |
|
| DeConv2DConfig |
|
| DeConv2DDerivative |
|
| DeConv2DTF |
|
| DeConv3D |
|
| DeConv3DConfig |
|
| DeConv3DDerivative |
|
| DeConv3DTF |
|
| DefaultCallback |
|
| DefaultConvolutionInstance |
|
| DefaultDistributionFactory |
|
| DefaultOpExecutioner |
|
| DefaultRandom |
|
| DefaultSameDiffConditional |
|
| DeleteWorkerSessionRequest |
Protobuf type tensorflow.DeleteWorkerSessionRequest
|
| DeleteWorkerSessionRequest.Builder |
Protobuf type tensorflow.DeleteWorkerSessionRequest
|
| DeleteWorkerSessionRequestOrBuilder |
|
| DeleteWorkerSessionResponse |
Protobuf type tensorflow.DeleteWorkerSessionResponse
|
| DeleteWorkerSessionResponse.Builder |
Protobuf type tensorflow.DeleteWorkerSessionResponse
|
| DeleteWorkerSessionResponseOrBuilder |
|
| DependencMapLinkedHash<K,V> |
|
| DependencyList<T,D> |
|
| DependencyMap<K extends IDependeeGroup<INDArray>,V> |
|
| DependencyMapIdentity<K,V> |
|
| DependencyTracker<T,D> |
|
| DepthToSpace |
|
| DepthwiseConv2D |
|
| DepthwiseConv2DBp |
|
| DeregisterGraphRequest |
Protobuf type tensorflow.DeregisterGraphRequest
|
| DeregisterGraphRequest.Builder |
Protobuf type tensorflow.DeregisterGraphRequest
|
| DeregisterGraphRequestOrBuilder |
|
| DeregisterGraphResponse |
TODO(mrry): Optionally add summary stats for the graph.
|
| DeregisterGraphResponse.Builder |
TODO(mrry): Optionally add summary stats for the graph.
|
| DeregisterGraphResponseOrBuilder |
|
| DeviceAllocationsTracker |
|
| DeviceAttributes |
Protobuf type tensorflow.DeviceAttributes
|
| DeviceAttributes.Builder |
Protobuf type tensorflow.DeviceAttributes
|
| DeviceAttributesOrBuilder |
|
| DeviceAttributesProtos |
|
| DeviceLocal<T> |
|
| DeviceLocality |
Protobuf type tensorflow.DeviceLocality
|
| DeviceLocality.Builder |
Protobuf type tensorflow.DeviceLocality
|
| DeviceLocalityOrBuilder |
|
| DeviceLocalNDArray |
|
| DevicePropertiesProtos |
|
| DevicePropertiesProtos.DeviceProperties |
Protobuf type tensorflow.DeviceProperties
|
| DevicePropertiesProtos.DeviceProperties.Builder |
Protobuf type tensorflow.DeviceProperties
|
| DevicePropertiesProtos.DevicePropertiesOrBuilder |
|
| DevicePropertiesProtos.NamedDevice |
Protobuf type tensorflow.NamedDevice
|
| DevicePropertiesProtos.NamedDevice.Builder |
Protobuf type tensorflow.NamedDevice
|
| DevicePropertiesProtos.NamedDeviceOrBuilder |
|
| DeviceStepStats |
Protobuf type tensorflow.DeviceStepStats
|
| DeviceStepStats.Builder |
Protobuf type tensorflow.DeviceStepStats
|
| DeviceStepStatsOrBuilder |
|
| Diag |
|
| DiagPart |
|
| DifferentialFunction |
|
| DifferentialFunctionClassHolder |
|
| Digamma |
|
| Dilation2D |
|
| Direction |
|
| DistributedINDArray |
|
| DistributedRuntimeProtos |
|
| Distribution |
A probability distribution
|
| DistributionFactory |
|
| DistributionInitScheme |
|
| DistributionStats |
|
| DistributionStats.Builder |
DynamicCustomOpsBuilder class that can incrementally update a running mean and variance in order to create statistics for a
large set of data
|
| DistributionUniform |
|
| DivBpOp |
|
| DivideNoNan |
|
| DivOp |
Division operation
|
| Dot |
|
| DotBp |
|
| DotProductAttention |
|
| DotProductAttentionBp |
|
| DrawBoundingBoxes |
|
| DropOut |
|
| DropOutInverted |
|
| DType |
|
| DummyWorkspace |
|
| DynamicCustomOp |
|
| DynamicCustomOp.DynamicCustomOpsBuilder |
|
| DynamicPartition |
|
| DynamicPartitionBp |
|
| DynamicStitch |
|
| EagerServiceOuterClass |
|
| EagerServiceOuterClass.CloseContextRequest |
Protobuf type tensorflow.eager.CloseContextRequest
|
| EagerServiceOuterClass.CloseContextRequest.Builder |
Protobuf type tensorflow.eager.CloseContextRequest
|
| EagerServiceOuterClass.CloseContextRequestOrBuilder |
|
| EagerServiceOuterClass.CloseContextResponse |
Protobuf type tensorflow.eager.CloseContextResponse
|
| EagerServiceOuterClass.CloseContextResponse.Builder |
Protobuf type tensorflow.eager.CloseContextResponse
|
| EagerServiceOuterClass.CloseContextResponseOrBuilder |
|
| EagerServiceOuterClass.CreateContextRequest |
Protobuf type tensorflow.eager.CreateContextRequest
|
| EagerServiceOuterClass.CreateContextRequest.Builder |
Protobuf type tensorflow.eager.CreateContextRequest
|
| EagerServiceOuterClass.CreateContextRequestOrBuilder |
|
| EagerServiceOuterClass.CreateContextResponse |
Protobuf type tensorflow.eager.CreateContextResponse
|
| EagerServiceOuterClass.CreateContextResponse.Builder |
Protobuf type tensorflow.eager.CreateContextResponse
|
| EagerServiceOuterClass.CreateContextResponseOrBuilder |
|
| EagerServiceOuterClass.EnqueueRequest |
Protobuf type tensorflow.eager.EnqueueRequest
|
| EagerServiceOuterClass.EnqueueRequest.Builder |
Protobuf type tensorflow.eager.EnqueueRequest
|
| EagerServiceOuterClass.EnqueueRequestOrBuilder |
|
| EagerServiceOuterClass.EnqueueResponse |
Protobuf type tensorflow.eager.EnqueueResponse
|
| EagerServiceOuterClass.EnqueueResponse.Builder |
Protobuf type tensorflow.eager.EnqueueResponse
|
| EagerServiceOuterClass.EnqueueResponseOrBuilder |
|
| EagerServiceOuterClass.KeepAliveRequest |
Protobuf type tensorflow.eager.KeepAliveRequest
|
| EagerServiceOuterClass.KeepAliveRequest.Builder |
Protobuf type tensorflow.eager.KeepAliveRequest
|
| EagerServiceOuterClass.KeepAliveRequestOrBuilder |
|
| EagerServiceOuterClass.KeepAliveResponse |
Protobuf type tensorflow.eager.KeepAliveResponse
|
| EagerServiceOuterClass.KeepAliveResponse.Builder |
Protobuf type tensorflow.eager.KeepAliveResponse
|
| EagerServiceOuterClass.KeepAliveResponseOrBuilder |
|
| EagerServiceOuterClass.Operation |
A proto representation of an eager operation.
|
| EagerServiceOuterClass.Operation.Builder |
A proto representation of an eager operation.
|
| EagerServiceOuterClass.OperationOrBuilder |
|
| EagerServiceOuterClass.QueueItem |
Protobuf type tensorflow.eager.QueueItem
|
| EagerServiceOuterClass.QueueItem.Builder |
Protobuf type tensorflow.eager.QueueItem
|
| EagerServiceOuterClass.QueueItem.ItemCase |
|
| EagerServiceOuterClass.QueueItemOrBuilder |
|
| EagerServiceOuterClass.RegisterFunctionRequest |
Protobuf type tensorflow.eager.RegisterFunctionRequest
|
| EagerServiceOuterClass.RegisterFunctionRequest.Builder |
Protobuf type tensorflow.eager.RegisterFunctionRequest
|
| EagerServiceOuterClass.RegisterFunctionRequestOrBuilder |
|
| EagerServiceOuterClass.RegisterFunctionResponse |
Protobuf type tensorflow.eager.RegisterFunctionResponse
|
| EagerServiceOuterClass.RegisterFunctionResponse.Builder |
Protobuf type tensorflow.eager.RegisterFunctionResponse
|
| EagerServiceOuterClass.RegisterFunctionResponseOrBuilder |
|
| EagerServiceOuterClass.RemoteTensorHandle |
Protobuf type tensorflow.eager.RemoteTensorHandle
|
| EagerServiceOuterClass.RemoteTensorHandle.Builder |
Protobuf type tensorflow.eager.RemoteTensorHandle
|
| EagerServiceOuterClass.RemoteTensorHandleOrBuilder |
|
| EagerServiceOuterClass.WaitQueueDoneRequest |
Protobuf type tensorflow.eager.WaitQueueDoneRequest
|
| EagerServiceOuterClass.WaitQueueDoneRequest.Builder |
Protobuf type tensorflow.eager.WaitQueueDoneRequest
|
| EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder |
|
| EagerServiceOuterClass.WaitQueueDoneResponse |
TODO(nareshmodi): Consider adding NodeExecStats here to be able to
propagate some stats.
|
| EagerServiceOuterClass.WaitQueueDoneResponse.Builder |
TODO(nareshmodi): Consider adding NodeExecStats here to be able to
propagate some stats.
|
| EagerServiceOuterClass.WaitQueueDoneResponseOrBuilder |
|
| Eig |
|
| Eigen |
|
| ELU |
|
| EluBp |
|
| EmbeddingLookup |
|
| EncodeBitmap |
|
| EncodeThreshold |
|
| Enter |
|
| Entropy |
|
| Environment |
|
| Environment |
|
| EnvironmentalAction |
|
| EnvironmentUtils |
|
| Eps |
|
| EpsilonEquals |
|
| EpsilonNotEquals |
|
| EqualityFn |
|
| EqualsCondition |
|
| EqualsWithEps |
|
| EqualTo |
|
| Erf |
|
| Erfc |
|
| ErrorCodesProtos |
|
| EuclideanDistance |
|
| Evaluation |
|
| Evaluation.Metric |
|
| EvaluationAveraging |
|
| EvaluationBinary |
|
| EvaluationBinary.Metric |
|
| EvaluationCalibration |
|
| EvaluationConfig |
|
| EvaluationLambda<T> |
|
| EvaluationRecord |
|
| EvaluationUtils |
|
| Event |
|
| ExecDebuggingListener |
|
| ExecDebuggingListener.PrintMode |
|
| ExecutionMode |
|
| ExecutionMode |
|
| ExecutionMode |
|
| ExecutionResult |
|
| ExecutorConfiguration |
|
| ExecutorOpts |
Options specific to the execution of a single step.
|
| ExecutorOpts.Builder |
Options specific to the execution of a single step.
|
| ExecutorOptsOrBuilder |
|
| ExecutorServiceProvider |
|
| ExistingMiniBatchDataSetIterator |
|
| Exit |
|
| Exp |
|
| ExpandDims |
|
| Expm1 |
|
| ExponentialSchedule |
|
| ExtendSessionRequest |
Protobuf type tensorflow.ExtendSessionRequest
|
| ExtendSessionRequest.Builder |
Protobuf type tensorflow.ExtendSessionRequest
|
| ExtendSessionRequestOrBuilder |
|
| ExtendSessionResponse |
TODO(mrry): Return something about the operation?
|
| ExtendSessionResponse.Builder |
TODO(mrry): Return something about the operation?
|
| ExtendSessionResponseOrBuilder |
|
| ExternalErrorsFunction |
|
| ExtractImagePatches |
|
| Eye |
|
| FakeQuantWithMinMaxArgs |
|
| FakeQuantWithMinMaxVars |
|
| FakeQuantWithMinMaxVarsPerChannel |
|
| FallbackAction |
|
| FeatureUtil |
|
| Fill |
Fill an array of given "shape" with the provided "value", e.g.
|
| FirstAxisIterator |
|
| FirstIndex |
|
| FitConfig |
|
| FixedSchedule |
|
| FlatArray |
|
| FlatArray.Vector |
|
| FlatArrayList |
|
| FlatArrayList.Vector |
|
| FlatBuffersMapper |
|
| FlatConfiguration |
|
| FlatConfiguration.Vector |
|
| FlatDropRequest |
|
| FlatDropRequest.Vector |
|
| FlatGraph |
|
| FlatGraph.Vector |
|
| FlatInferenceRequest |
|
| FlatInferenceRequest.Vector |
|
| FlatIterator |
|
| FlatNode |
|
| FlatNode.Vector |
|
| FlatProperties |
|
| FlatProperties.Vector |
|
| FlatResponse |
|
| FlatResponse.Vector |
|
| FlatResult |
|
| FlatResult.Vector |
|
| Flatten |
|
| Flatten2D |
|
| FlatTiming |
|
| FlatTiming.Vector |
|
| FlatVariable |
|
| FlatVariable.Vector |
|
| Floor |
|
| FloorDivBpOp |
|
| FloorDivOp |
|
| FloorModBpOp |
|
| FloorModOp |
|
| FModOp |
|
| FrameIter |
|
| FrameIteration |
|
| FrameIteration.Vector |
|
| FreeGridOp |
|
| FunctionDef |
A function can be instantiated when the runtime can bind every attr
with a value.
|
| FunctionDef.Builder |
A function can be instantiated when the runtime can bind every attr
with a value.
|
| FunctionDefLibrary |
A library is a set of named functions.
|
| FunctionDefLibrary.Builder |
A library is a set of named functions.
|
| FunctionDefLibraryOrBuilder |
|
| FunctionDefOrBuilder |
|
| FunctionProtos |
|
| FusedBatchNorm |
|
| GateAct |
Activations
|
| Gather |
Gather op
|
| GatherNd |
GatherND op
|
| GaussianDistribution |
|
| GELU |
|
| GELUDerivative |
GELU derivative
|
| GemmParams |
|
| GemvParameters |
|
| GetStatusRequest |
Protobuf type tensorflow.GetStatusRequest
|
| GetStatusRequest.Builder |
Protobuf type tensorflow.GetStatusRequest
|
| GetStatusRequestOrBuilder |
|
| GetStatusResponse |
Protobuf type tensorflow.GetStatusResponse
|
| GetStatusResponse.Builder |
Protobuf type tensorflow.GetStatusResponse
|
| GetStatusResponseOrBuilder |
|
| GetStepSequenceRequest |
Request for next agreed-upon step_id for the specified graph_keys.
|
| GetStepSequenceRequest.Builder |
Request for next agreed-upon step_id for the specified graph_keys.
|
| GetStepSequenceRequestOrBuilder |
|
| GetStepSequenceResponse |
Next valid step_ids for one or more graph_keys.
|
| GetStepSequenceResponse.Builder |
Next valid step_ids for one or more graph_keys.
|
| GetStepSequenceResponseOrBuilder |
|
| GPUInfo |
|
| GPUInfoProvider |
|
| GPUOptions |
Protobuf type tensorflow.GPUOptions
|
| GPUOptions.Builder |
Protobuf type tensorflow.GPUOptions
|
| GPUOptions.Experimental |
Protobuf type tensorflow.GPUOptions.Experimental
|
| GPUOptions.Experimental.Builder |
Protobuf type tensorflow.GPUOptions.Experimental
|
| GPUOptions.Experimental.VirtualDevices |
Configuration for breaking down a visible GPU into multiple "virtual"
devices.
|
| GPUOptions.Experimental.VirtualDevices.Builder |
Configuration for breaking down a visible GPU into multiple "virtual"
devices.
|
| GPUOptions.Experimental.VirtualDevicesOrBuilder |
|
| GPUOptions.ExperimentalOrBuilder |
|
| GPUOptionsOrBuilder |
|
| GradCheckUtil |
|
| GradCheckUtil.ActGradConfig |
|
| GradCheckUtil.Subset |
|
| GradientBackwardsMarker |
|
| GradientDef |
GradientDef defines the gradient function of a function defined in
a function library.
|
| GradientDef.Builder |
GradientDef defines the gradient function of a function defined in
a function library.
|
| GradientDefOrBuilder |
|
| GradientUpdater<T extends IUpdater> |
|
| GraphDef |
Represents the graph of operations
|
| GraphDef.Builder |
Represents the graph of operations
|
| GraphDefOrBuilder |
|
| GraphOptimizer |
|
| GraphOptions |
Protobuf type tensorflow.GraphOptions
|
| GraphOptions.Builder |
Protobuf type tensorflow.GraphOptions
|
| GraphOptionsOrBuilder |
|
| GraphProtos |
|
| GraphTransferConstNodeInfo |
Protobuf type tensorflow.GraphTransferConstNodeInfo
|
| GraphTransferConstNodeInfo.Builder |
Protobuf type tensorflow.GraphTransferConstNodeInfo
|
| GraphTransferConstNodeInfoOrBuilder |
|
| GraphTransferGraphInputNodeInfo |
Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
|
| GraphTransferGraphInputNodeInfo.Builder |
Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
|
| GraphTransferGraphInputNodeInfoOrBuilder |
|
| GraphTransferGraphOutputNodeInfo |
Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
|
| GraphTransferGraphOutputNodeInfo.Builder |
Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
|
| GraphTransferGraphOutputNodeInfoOrBuilder |
|
| GraphTransferInfo |
Protocol buffer representing a handle to a tensorflow resource.
|
| GraphTransferInfo.Builder |
Protocol buffer representing a handle to a tensorflow resource.
|
| GraphTransferInfo.Destination |
Protobuf enum tensorflow.GraphTransferInfo.Destination
|
| GraphTransferInfoOrBuilder |
|
| GraphTransferInfoProto |
|
| GraphTransferNodeInfo |
Protobuf type tensorflow.GraphTransferNodeInfo
|
| GraphTransferNodeInfo.Builder |
Protobuf type tensorflow.GraphTransferNodeInfo
|
| GraphTransferNodeInfoOrBuilder |
|
| GraphTransferNodeInput |
Protobuf type tensorflow.GraphTransferNodeInput
|
| GraphTransferNodeInput.Builder |
Protobuf type tensorflow.GraphTransferNodeInput
|
| GraphTransferNodeInputInfo |
Protobuf type tensorflow.GraphTransferNodeInputInfo
|
| GraphTransferNodeInputInfo.Builder |
Protobuf type tensorflow.GraphTransferNodeInputInfo
|
| GraphTransferNodeInputInfoOrBuilder |
|
| GraphTransferNodeInputOrBuilder |
|
| GraphTransferNodeOutputInfo |
Protobuf type tensorflow.GraphTransferNodeOutputInfo
|
| GraphTransferNodeOutputInfo.Builder |
Protobuf type tensorflow.GraphTransferNodeOutputInfo
|
| GraphTransferNodeOutputInfoOrBuilder |
|
| GraphTransformUtil |
|
| GreaterThan |
|
| GreaterThan |
|
| GreaterThanOrEqual |
|
| GreaterThanOrEqual |
|
| GridDescriptor |
|
| GridExecutioner |
|
| GridOp |
|
| GridPointers |
|
| GRU |
|
| GRUBp |
|
| GRUCell |
|
| GRUCellConfiguration |
|
| GRUCellOutputs |
|
| GRUWeights |
|
| HammingDistance |
|
| HardSigmoid |
|
| HardSigmoidBp |
|
| HardSigmoidDerivative |
Deprecated. |
| HardTanh |
|
| HardTanhBp |
|
| HardTanhDerivative |
Deprecated. |
| HashCode |
|
| HashDependencyTracker<T extends SDValue,D> |
|
| HashUtil |
|
| Heartbeat |
|
| HingeLoss |
|
| HingeLossBp |
|
| Histogram |
|
| Histogram |
|
| HistogramFixedWidth |
|
| HistogramProto |
Serialization format for histogram module in
core/lib/histogram/histogram.h
|
| HistogramProto.Builder |
Serialization format for histogram module in
core/lib/histogram/histogram.h
|
| HistogramProtoOrBuilder |
|
| History |
|
| HistoryListener |
|
| HsvToRgb |
|
| HuberLoss |
|
| HuberLossBp |
|
| IActivation |
|
| Identity |
|
| Identity |
|
| IdentityDependencyTracker<T,D> |
|
| IdentityFunctionOptimizations |
|
| IdentityFunctionOptimizations.RemoveIdentityOps |
Remove identity(x)
|
| IdentityFunctionOptimizations.RemoveIdentityPermute |
Remove permute(0,1,2,...,rank-1) as this is a no-op
|
| IdentityInitScheme |
Initialize the weight to one.
|
| IdentityN |
|
| IDependeeGroup<T> |
|
| IDependencyMap<T,D> |
|
| IEvaluation<T extends IEvaluation> |
|
| Igamma |
|
| Igammac |
|
| ILossFunction |
|
| Im2col |
|
| Im2colBp |
|
| ImageFlatteningDataSetPreProcessor |
|
| ImageMultiPreProcessingScaler |
|
| ImagePreProcessingScaler |
|
| ImagePreProcessingSerializerStrategy |
|
| ImageResize |
|
| ImageResizeMethod |
ResizeBilinear: Bilinear interpolation.
|
| IMetric |
|
| ImmortalFloatPointer |
|
| ImportClassMapping |
|
| INDArray |
|
| INDArrayIndex |
|
| INDArrayIterator |
|
| INDArrayStatistics |
|
| IndexAccumulation |
|
| IndexInfo |
|
| Indices |
Indexing util.
|
| InequalityHandling |
|
| InferenceAdapter<I,O> |
|
| InferenceFactory |
|
| InferenceSession |
|
| InferenceSession.ConstantDep |
|
| InferenceSession.Dep |
|
| InferenceSession.ExecDoneDep |
|
| InferenceSession.OpDep |
|
| InferenceSession.PlaceholderDep |
|
| InferenceSession.ReqOutputDep |
|
| InferenceSession.VariableDep |
|
| InFileAndMemoryDataSetCache |
|
| InFileDataSetCache |
|
| InMemoryDataSetCache |
|
| InputAdapter<I> |
|
| InputType |
|
| IntArrayIntIndexAdapter |
|
| InterconnectLink |
Protobuf type tensorflow.InterconnectLink
|
| InterconnectLink.Builder |
Protobuf type tensorflow.InterconnectLink
|
| InterconnectLinkOrBuilder |
|
| IntervalIndex |
And indexing representing
an interval.
|
| InTopK |
|
| IntPair |
|
| IntPair.Vector |
|
| IntTriple |
|
| IntTriple.Vector |
|
| InverseSchedule |
|
| InvertedPredicateMetaOp |
|
| InvertMatrix |
|
| InvertPermutation |
Inverse of index permutation.
|
| Invoke |
Invoke is an op
|
| Invoke.InvokeParams |
|
| ISchedule |
|
| IsFinite |
|
| IsFinite |
|
| IsInf |
|
| IsInf |
|
| IsInfinite |
|
| IsMax |
[1, 2, 3, 1] -> [0, 0, 1, 0]
|
| IsNaN |
|
| IsNaN |
|
| IsNaN |
|
| IsNonDecreasing |
|
| IsNumericTensor |
|
| IsStrictlyIncreasing |
|
| IteratorProtos |
|
| IteratorStateMetadata |
Protocol buffer representing the metadata for an iterator's state stored
as a Variant tensor.
|
| IteratorStateMetadata.Builder |
Protocol buffer representing the metadata for an iterator's state stored
as a Variant tensor.
|
| IteratorStateMetadataOrBuilder |
|
| IUpdater |
|
| JaccardDistance |
|
| JobDef |
Defines a single job in a TensorFlow cluster.
|
| JobDef.Builder |
Defines a single job in a TensorFlow cluster.
|
| JobDefOrBuilder |
|
| JsonMappers |
|
| JvmShapeInfo |
|
| KernelDef |
Protobuf type tensorflow.KernelDef
|
| KernelDef.AttrConstraint |
Protobuf type tensorflow.KernelDef.AttrConstraint
|
| KernelDef.AttrConstraint.Builder |
Protobuf type tensorflow.KernelDef.AttrConstraint
|
| KernelDef.AttrConstraintOrBuilder |
|
| KernelDef.Builder |
Protobuf type tensorflow.KernelDef
|
| KernelDefOrBuilder |
|
| KernelDefProtos |
|
| KFoldIterator |
|
| KnnMinDistance |
|
| L1Regularization |
|
| L2Loss |
L2 loss op wrapper
|
| L2Regularization |
|
| LabeledStepStats |
Protobuf type tensorflow.LabeledStepStats
|
| LabeledStepStats.Builder |
Protobuf type tensorflow.LabeledStepStats
|
| LabeledStepStatsOrBuilder |
|
| LabelLastTimeStepPreProcessor |
|
| Lapack |
|
| LastIndex |
|
| LayerNorm |
|
| LayerNormBp |
|
| LeakyReLU |
|
| LeakyReLUBp |
|
| LeakyReLUDerivative |
|
| LearningPolicy |
|
| LecunUniformInitScheme |
Initialize the weight to:
randn(shape) //N(0, 2/nIn);
|
| LegacyIActivationDeserializer |
|
| LegacyIActivationDeserializerHelper |
|
| LegacyILossFunctionDeserializer |
|
| LegacyILossFunctionDeserializerHelper |
|
| LegacyOpMapper |
|
| LessThan |
|
| LessThan |
|
| LessThanOrEqual |
|
| LessThanOrEqual |
|
| Level1 |
|
| Level2 |
|
| Level3 |
|
| Lgamma |
|
| LinAlgExceptions |
|
| LinearIndexLookup |
|
| LinearSolve |
|
| Linspace |
|
| Linspace |
|
| ListDevicesRequest |
Protobuf type tensorflow.ListDevicesRequest
|
| ListDevicesRequest.Builder |
Protobuf type tensorflow.ListDevicesRequest
|
| ListDevicesRequestOrBuilder |
|
| ListDevicesResponse |
Protobuf type tensorflow.ListDevicesResponse
|
| ListDevicesResponse.Builder |
Protobuf type tensorflow.ListDevicesResponse
|
| ListDevicesResponseOrBuilder |
|
| ListDiff |
|
| Listener |
|
| ListenerEvaluations |
|
| ListenerEvaluations.Builder |
|
| ListenerResponse |
|
| ListenerVariables |
|
| ListenerVariables.Builder |
|
| LocalLinks |
Protobuf type tensorflow.LocalLinks
|
| LocalLinks.Builder |
Protobuf type tensorflow.LocalLinks
|
| LocalLinksOrBuilder |
|
| LocalResponseNormalization |
|
| LocalResponseNormalizationConfig |
|
| LocalResponseNormalizationDerivative |
|
| LocationPolicy |
|
| Log |
|
| Log1p |
|
| Logdet |
|
| LogEntropy |
|
| LogFileWriter |
|
| LogFileWriter.EventSubtype |
|
| LogFileWriter.StaticInfo |
|
| LoggingRequest |
Out-of-band request to begin or end logging, or
to retrieve logs for particular steps.
|
| LoggingRequest.Builder |
Out-of-band request to begin or end logging, or
to retrieve logs for particular steps.
|
| LoggingRequestOrBuilder |
|
| LoggingResponse |
Protobuf type tensorflow.LoggingResponse
|
| LoggingResponse.Builder |
Protobuf type tensorflow.LoggingResponse
|
| LoggingResponseOrBuilder |
|
| LogicalAnd |
|
| LogicalNot |
|
| LogicalOr |
|
| LogicalXor |
|
| LogLoss |
|
| LogLossBp |
|
| LogMatrixDeterminant |
|
| LogMemoryProtos |
|
| LogNormalDistribution |
|
| LogNormalDistribution |
|
| LogPoissonLoss |
|
| LogPoissonLossBp |
|
| LogSigmoid |
|
| LogSoftMax |
|
| LogSoftMaxDerivative |
|
| LogSumExp |
|
| LogX |
|
| LongPair |
|
| LongPair.Vector |
|
| LongShapeDescriptor |
|
| LongTriple |
|
| LongTriple.Vector |
|
| LongUtils |
|
| LoopCond |
|
| Loss |
|
| LossBinaryXENT |
|
| LossCosineProximity |
|
| LossCurve |
|
| LossFMeasure |
|
| LossFunction |
|
| LossFunctions |
|
| LossFunctions.LossFunction |
|
| LossHinge |
|
| LossKLD |
|
| LossL1 |
|
| LossL2 |
|
| LossMAE |
|
| LossMAPE |
|
| LossMCXENT |
|
| LossMixtureDensity |
|
| LossMixtureDensity.Builder |
|
| LossMixtureDensity.MixtureDensityComponents |
This class is a data holder for the mixture density
components for convenient manipulation.
|
| LossMSE |
|
| LossMSLE |
|
| LossMultiLabel |
|
| LossNegativeLogLikelihood |
|
| LossPoisson |
|
| LossReduce |
|
| LossReduce |
|
| LossSparseMCXENT |
|
| LossSquaredHinge |
|
| LossUtil |
|
| LossWasserstein |
|
| LSTMActivations |
|
| LSTMBlock |
|
| LSTMBlockCell |
|
| LSTMCell |
|
| LSTMCellConfiguration |
|
| LSTMCellOutputs |
|
| LSTMConfiguration |
|
| LSTMDataFormat |
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 |
|
| LSTMDirectionMode |
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 |
|
| LSTMLayer |
|
| LSTMLayerBp |
|
| LSTMLayerConfig |
|
| LSTMLayerOutputs |
|
| LSTMLayerWeights |
|
| LSTMWeights |
|
| Lstsq |
|
| Lu |
|
| MakeCallableRequest |
Protobuf type tensorflow.MakeCallableRequest
|
| MakeCallableRequest.Builder |
Protobuf type tensorflow.MakeCallableRequest
|
| MakeCallableRequestOrBuilder |
|
| MakeCallableResponse |
Protobuf type tensorflow.MakeCallableResponse
|
| MakeCallableResponse.Builder |
Protobuf type tensorflow.MakeCallableResponse
|
| MakeCallableResponseOrBuilder |
|
| ManhattanDistance |
|
| MapperNamespace |
|
| MapperNamespace.MapperDeclaration |
Protobuf type org.nd4j.ir.MapperDeclaration
|
| MapperNamespace.MapperDeclaration.Builder |
Protobuf type org.nd4j.ir.MapperDeclaration
|
| MapperNamespace.MapperDeclarationOrBuilder |
|
| MapperNamespace.MappingDefinitionSet |
Protobuf type org.nd4j.ir.MappingDefinitionSet
|
| MapperNamespace.MappingDefinitionSet.Builder |
Protobuf type org.nd4j.ir.MappingDefinitionSet
|
| MapperNamespace.MappingDefinitionSetOrBuilder |
|
| MapperNamespace.MappingRule |
Protobuf type org.nd4j.ir.MappingRule
|
| MapperNamespace.MappingRule.Builder |
Protobuf type org.nd4j.ir.MappingRule
|
| MapperNamespace.MappingRuleOrBuilder |
|
| MapperNamespace.OpListType |
Protobuf enum org.nd4j.ir.OpListType
|
| MapperNamespace.TransformerArgs |
Protobuf type org.nd4j.ir.TransformerArgs
|
| MapperNamespace.TransformerArgs.Builder |
Protobuf type org.nd4j.ir.TransformerArgs
|
| MapperNamespace.TransformerArgsOrBuilder |
|
| MapperNamespace.VariableResolutionType |
Protobuf enum org.nd4j.ir.VariableResolutionType
|
| MapSchedule |
|
| MapSchedule.Builder |
DynamicCustomOpsBuilder for conveniently constructing map schedules
|
| Masking |
|
| MasterServiceProtos |
|
| MatchCondition |
|
| MatchConditionTransform |
|
| MatrixBandPart |
|
| MatrixDeterminant |
|
| MatrixDiag |
|
| MatrixDiagPart |
|
| MatrixInverse |
|
| MatrixSetDiag |
|
| Max |
|
| Max |
|
| Max |
|
| MaxBp |
|
| MaximumBp |
|
| MaxOut |
|
| MaxPooling2D |
Max Pooling2D operation
|
| MaxPooling3D |
|
| MaxPoolWithArgmax |
|
| Mean |
|
| MeanBp |
|
| MeanPairwiseSquaredErrorLoss |
Mean Pairwise Squared Error Loss
|
| MeanPairwiseSquaredErrorLossBp |
|
| MeanSquaredErrorLoss |
|
| MeanSquaredErrorLossBp |
|
| MemcpyDirection |
|
| MemoryKind |
|
| MemoryLogRawAllocation |
Protobuf type tensorflow.MemoryLogRawAllocation
|
| MemoryLogRawAllocation.Builder |
Protobuf type tensorflow.MemoryLogRawAllocation
|
| MemoryLogRawAllocationOrBuilder |
|
| MemoryLogRawDeallocation |
Protobuf type tensorflow.MemoryLogRawDeallocation
|
| MemoryLogRawDeallocation.Builder |
Protobuf type tensorflow.MemoryLogRawDeallocation
|
| MemoryLogRawDeallocationOrBuilder |
|
| MemoryLogStep |
Protobuf type tensorflow.MemoryLogStep
|
| MemoryLogStep.Builder |
Protobuf type tensorflow.MemoryLogStep
|
| MemoryLogStepOrBuilder |
|
| MemoryLogTensorAllocation |
Protobuf type tensorflow.MemoryLogTensorAllocation
|
| MemoryLogTensorAllocation.Builder |
Protobuf type tensorflow.MemoryLogTensorAllocation
|
| MemoryLogTensorAllocationOrBuilder |
|
| MemoryLogTensorDeallocation |
Protobuf type tensorflow.MemoryLogTensorDeallocation
|
| MemoryLogTensorDeallocation.Builder |
Protobuf type tensorflow.MemoryLogTensorDeallocation
|
| MemoryLogTensorDeallocationOrBuilder |
|
| MemoryLogTensorOutput |
Protobuf type tensorflow.MemoryLogTensorOutput
|
| MemoryLogTensorOutput.Builder |
Protobuf type tensorflow.MemoryLogTensorOutput
|
| MemoryLogTensorOutputOrBuilder |
|
| MemoryManager |
|
| MemoryStats |
For memory tracking.
|
| MemoryStats.Builder |
For memory tracking.
|
| MemoryStatsOrBuilder |
|
| MemoryStrategy |
|
| MemoryWorkspace |
|
| MemoryWorkspace.Type |
|
| MemoryWorkspaceManager |
|
| Merge |
|
| MergeAddBp |
|
| MergeAddOp |
|
| MergeAvg |
|
| MergeAvgBp |
|
| MergeLambda<T> |
|
| MergeMax |
|
| MergeMaxBp |
|
| MergeMaxIndex |
|
| MergeSum |
|
| MeshGrid |
|
| MetaGraphDef |
NOTE: This protocol buffer is evolving, and will go through revisions in the
coming months.
|
| MetaGraphDef.Builder |
NOTE: This protocol buffer is evolving, and will go through revisions in the
coming months.
|
| MetaGraphDef.MetaInfoDef |
Meta information regarding the graph to be exported.
|
| MetaGraphDef.MetaInfoDef.Builder |
Meta information regarding the graph to be exported.
|
| MetaGraphDef.MetaInfoDefOrBuilder |
|
| MetaGraphDefOrBuilder |
|
| MetaGraphProtos |
|
| MetaOp |
|
| Min |
|
| Min |
|
| Min |
|
| MinBp |
|
| MiniBatchFileDataSetIterator |
|
| MinMaxDataType |
Returns the min or max (0 or 1 in int arguments)
for a given data type.
|
| MinMaxSerializerStrategy |
|
| MinMaxStats |
|
| MinMaxStats.Builder |
DynamicCustomOpsBuilder class that can incrementally update a running lower and upper bound in order to create statistics for a
large set of data
|
| MinMaxStrategy |
|
| MirroringPolicy |
|
| MirrorPad |
|
| Mish |
|
| MishDerivative |
|
| Mmul |
|
| MmulBp |
|
| MMulTranspose |
|
| ModBpOp |
|
| Mode |
padding mode: CONSTANT, REFLECT, SYMMETRIC
|
| ModOp |
|
| Moments |
|
| MulBpOp |
|
| MulOp |
|
| MultiDataNormalization |
|
| MultiDataSet |
|
| MultiDataSet |
|
| MultiDataSetIterator |
|
| MultiDataSetIteratorAdapter |
|
| MultiDataSetIteratorFactory |
|
| MultiDataSetPreProcessor |
|
| MultiHeadDotProductAttention |
|
| MultiHeadDotProductAttentionBp |
|
| MultiHybridSerializerStrategy |
|
| MultiMinMaxSerializerStrategy |
|
| MultiNormalizerHybrid |
|
| MultiNormalizerMinMaxScaler |
|
| MultiNormalizerStandardize |
|
| MultipleEpochsIterator |
Deprecated. |
| MultiStandardizeSerializerStrategy |
|
| Nadam |
|
| Nadam.Builder |
|
| NadamUpdater |
|
| NadamUpdater |
The Nadam updater.
|
| NameAttrList |
A list of attr names and their values.
|
| NameAttrList.Builder |
A list of attr names and their values.
|
| NameAttrListOrBuilder |
|
| NamedTensorProto |
A pair of tensor name and tensor values.
|
| NamedTensorProto.Builder |
A pair of tensor name and tensor values.
|
| NamedTensorProtoOrBuilder |
|
| NamedTensorProtos |
|
| NameScope |
|
| Nd4j |
|
| ND4JArraySizeException |
|
| Nd4jBackend |
|
| Nd4jBackend.NoAvailableBackendException |
|
| Nd4jBase64 |
NDArray as base 64
|
| Nd4jContext |
|
| Nd4jEnvironment |
|
| ND4JException |
|
| ND4JIllegalAccessException |
|
| ND4JIllegalArgumentException |
|
| ND4JIllegalStateException |
|
| Nd4jNoSuchWorkspaceException |
|
| ND4JOpProfilerException |
|
| ND4JTestUtils |
|
| ND4JTestUtils.ComparisonResult |
|
| ND4JTestUtils.EqualsFn |
|
| ND4JTestUtils.EqualsWithEpsFn |
|
| ND4JUnknownDataTypeException |
|
| Nd4jValidator |
|
| Nd4jWorkspace |
|
| ND4JWorkspaceException |
|
| ND4UnresolvedOutputVariables |
|
| NDArrayCompressor |
|
| NDArrayCreationUtil |
|
| NDArrayDeSerializer |
|
| NDArrayFactory |
|
| NDArrayIndex |
NDArray indexing
|
| NDArrayIndexAll |
Mainly meant for internal use:
represents all the elements of a dimension
|
| NDArrayList |
|
| NDArrayMath |
|
| NDArrayPreconditionsFormat |
|
| NDArraySerializer |
|
| NDArrayShapeAdapter |
|
| NDArrayStrings |
|
| NDArraySupplierInitScheme |
|
| NDArraySupplierInitScheme.NDArraySupplier |
|
| NDArrayTextDeSerializer |
|
| NDArrayTextSerializer |
|
| NDArrayUnpackAction |
|
| NDArrayUtil |
Deprecated. |
| NDBase |
|
| NDBitwise |
|
| NDCNN |
|
| NDImage |
|
| NdIndexIterator |
|
| NDLinalg |
|
| NDLoss |
|
| NDMath |
|
| NDNN |
|
| NDRandom |
|
| NDRNN |
|
| NDValidation |
|
| NearestMode |
Effective only for the ResizeNearest interpolation.
|
| Negative |
|
| Nesterovs |
|
| Nesterovs.Builder |
|
| NesterovsUpdater |
|
| NesterovsUpdater |
|
| NewAxis |
New axis adds a new singular dimension to an array.
|
| NextIteration |
|
| NodeDef |
Protobuf type tensorflow.NodeDef
|
| NodeDef.Builder |
Protobuf type tensorflow.NodeDef
|
| NodeDefOrBuilder |
|
| NodeExecStats |
Time/size stats recorded for a single execution of a graph node.
|
| NodeExecStats.Builder |
Time/size stats recorded for a single execution of a graph node.
|
| NodeExecStatsOrBuilder |
|
| NodeOutput |
Output sizes recorded for a single execution of a graph node.
|
| NodeOutput.Builder |
Output sizes recorded for a single execution of a graph node.
|
| NodeOutputOrBuilder |
|
| NodeProto |
|
| NonMaxSuppression |
|
| NonMaxSuppressionV3 |
|
| NonMaxSuppressionWithOverlaps |
|
| NoOp |
|
| NoOp |
|
| NoOpMemoryMgr |
|
| NoOpNameFoundException |
|
| NoOpUpdater |
|
| Norm1 |
Sum of absolute values
|
| Norm1Bp |
|
| Norm2 |
|
| Norm2Bp |
|
| NormalDistribution |
|
| NormalizeMoments |
|
| Normalizer<T> |
|
| NormalizerMinMaxScaler |
|
| NormalizerSerializer |
|
| NormalizerSerializerStrategy<T extends Normalizer> |
|
| NormalizerStandardize |
|
| NormalizerStats |
|
| NormalizerStats.Builder<S extends NormalizerStats> |
|
| NormalizerStrategy<S extends NormalizerStats> |
|
| NormalizerType |
Enum representing the opType of a normalizer for serialization purposes
|
| NormMax |
The max absolute value
|
| NormMaxBp |
|
| Not |
|
| Not |
|
| NotEqualsCondition |
|
| NotEqualTo |
|
| NotFinite |
|
| NthElement |
|
| OldConvolution |
|
| OmpNumThreadsAction |
|
| OneHot |
|
| OneInitScheme |
Initialize the weight to one.
|
| OneMinus |
1 - input
|
| OnesAs |
|
| OnesLike |
|
| Onnx |
|
| Onnx.AttributeProto |
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 |
Note: this enum is structurally identical to the OpSchema::AttrType
enum defined in schema.h.
|
| Onnx.AttributeProto.Builder |
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 |
|
| Onnx.FunctionProto |
Protobuf type onnx.FunctionProto
|
| Onnx.FunctionProto.Builder |
Protobuf type onnx.FunctionProto
|
| Onnx.FunctionProtoOrBuilder |
|
| Onnx.GraphProto |
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 |
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 |
|
| Onnx.ModelProto |
Models
ModelProto is a top-level file/container format for bundling a ML model and
associating its computation graph with metadata.
|
| Onnx.ModelProto.Builder |
Models
ModelProto is a top-level file/container format for bundling a ML model and
associating its computation graph with metadata.
|
| Onnx.ModelProtoOrBuilder |
|
| Onnx.NodeProto |
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 |
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 |
|
| Onnx.OperatorSetIdProto |
Operator Sets
OperatorSets are uniquely identified by a (domain, opset_version) pair.
|
| Onnx.OperatorSetIdProto.Builder |
Operator Sets
OperatorSets are uniquely identified by a (domain, opset_version) pair.
|
| Onnx.OperatorSetIdProtoOrBuilder |
|
| Onnx.OperatorStatus |
Operator/function status.
|
| Onnx.SparseTensorProto |
A serialized sparse-tensor value
|
| Onnx.SparseTensorProto.Builder |
A serialized sparse-tensor value
|
| Onnx.SparseTensorProtoOrBuilder |
|
| Onnx.StringStringEntryProto |
StringStringEntryProto follows the pattern for cross-proto-version maps.
|
| Onnx.StringStringEntryProto.Builder |
StringStringEntryProto follows the pattern for cross-proto-version maps.
|
| Onnx.StringStringEntryProtoOrBuilder |
|
| Onnx.TensorAnnotation |
Protobuf type onnx.TensorAnnotation
|
| Onnx.TensorAnnotation.Builder |
Protobuf type onnx.TensorAnnotation
|
| Onnx.TensorAnnotationOrBuilder |
|
| Onnx.TensorProto |
Tensors
A serialized tensor value.
|
| Onnx.TensorProto.Builder |
Tensors
A serialized tensor value.
|
| Onnx.TensorProto.DataLocation |
Location of the data for this tensor.
|
| Onnx.TensorProto.DataType |
Protobuf enum onnx.TensorProto.DataType
|
| Onnx.TensorProto.Segment |
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 |
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 |
|
| Onnx.TensorProtoOrBuilder |
|
| Onnx.TensorShapeProto |
Defines a tensor shape.
|
| Onnx.TensorShapeProto.Builder |
Defines a tensor shape.
|
| Onnx.TensorShapeProto.Dimension |
Protobuf type onnx.TensorShapeProto.Dimension
|
| Onnx.TensorShapeProto.Dimension.Builder |
Protobuf type onnx.TensorShapeProto.Dimension
|
| Onnx.TensorShapeProto.Dimension.ValueCase |
|
| Onnx.TensorShapeProto.DimensionOrBuilder |
|
| Onnx.TensorShapeProtoOrBuilder |
|
| Onnx.TrainingInfoProto |
Training information
TrainingInfoProto stores information for training a model.
|
| Onnx.TrainingInfoProto.Builder |
Training information
TrainingInfoProto stores information for training a model.
|
| Onnx.TrainingInfoProtoOrBuilder |
|
| Onnx.TypeProto |
Types
The standard ONNX data types.
|
| Onnx.TypeProto.Builder |
Types
The standard ONNX data types.
|
| Onnx.TypeProto.Map |
map<K,V>
|
| Onnx.TypeProto.Map.Builder |
map<K,V>
|
| Onnx.TypeProto.MapOrBuilder |
|
| Onnx.TypeProto.Optional |
wrapper for Tensor, Sequence, or Map
|
| Onnx.TypeProto.Optional.Builder |
wrapper for Tensor, Sequence, or Map
|
| Onnx.TypeProto.OptionalOrBuilder |
|
| Onnx.TypeProto.Sequence |
repeated T
|
| Onnx.TypeProto.Sequence.Builder |
repeated T
|
| Onnx.TypeProto.SequenceOrBuilder |
|
| Onnx.TypeProto.SparseTensor |
Protobuf type onnx.TypeProto.SparseTensor
|
| Onnx.TypeProto.SparseTensor.Builder |
Protobuf type onnx.TypeProto.SparseTensor
|
| Onnx.TypeProto.SparseTensorOrBuilder |
|
| Onnx.TypeProto.Tensor |
Protobuf type onnx.TypeProto.Tensor
|
| Onnx.TypeProto.Tensor.Builder |
Protobuf type onnx.TypeProto.Tensor
|
| Onnx.TypeProto.TensorOrBuilder |
|
| Onnx.TypeProto.ValueCase |
|
| Onnx.TypeProtoOrBuilder |
|
| Onnx.ValueInfoProto |
Defines information on value, including the name, the type, and
the shape of the value.
|
| Onnx.ValueInfoProto.Builder |
Defines information on value, including the name, the type, and
the shape of the value.
|
| Onnx.ValueInfoProtoOrBuilder |
|
| Onnx.Version |
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 |
|
| OnnxDescriptorParser |
|
| OnnxMl |
|
| OnnxMl.AttributeProto |
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 |
Note: this enum is structurally identical to the OpSchema::AttrType
enum defined in schema.h.
|
| OnnxMl.AttributeProto.Builder |
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 |
|
| OnnxMl.FunctionProto |
Protobuf type onnx.FunctionProto
|
| OnnxMl.FunctionProto.Builder |
Protobuf type onnx.FunctionProto
|
| OnnxMl.FunctionProtoOrBuilder |
|
| OnnxMl.GraphProto |
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 |
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 |
|
| OnnxMl.ModelProto |
Models
ModelProto is a top-level file/container format for bundling a ML model and
associating its computation graph with metadata.
|
| OnnxMl.ModelProto.Builder |
Models
ModelProto is a top-level file/container format for bundling a ML model and
associating its computation graph with metadata.
|
| OnnxMl.ModelProtoOrBuilder |
|
| OnnxMl.NodeProto |
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 |
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 |
|
| OnnxMl.OperatorSetIdProto |
Operator Sets
OperatorSets are uniquely identified by a (domain, opset_version) pair.
|
| OnnxMl.OperatorSetIdProto.Builder |
Operator Sets
OperatorSets are uniquely identified by a (domain, opset_version) pair.
|
| OnnxMl.OperatorSetIdProtoOrBuilder |
|
| OnnxMl.OperatorStatus |
Operator/function status.
|
| OnnxMl.SparseTensorProto |
A serialized sparse-tensor value
|
| OnnxMl.SparseTensorProto.Builder |
A serialized sparse-tensor value
|
| OnnxMl.SparseTensorProtoOrBuilder |
|
| OnnxMl.StringStringEntryProto |
StringStringEntryProto follows the pattern for cross-proto-version maps.
|
| OnnxMl.StringStringEntryProto.Builder |
StringStringEntryProto follows the pattern for cross-proto-version maps.
|
| OnnxMl.StringStringEntryProtoOrBuilder |
|
| OnnxMl.TensorAnnotation |
Protobuf type onnx.TensorAnnotation
|
| OnnxMl.TensorAnnotation.Builder |
Protobuf type onnx.TensorAnnotation
|
| OnnxMl.TensorAnnotationOrBuilder |
|
| OnnxMl.TensorProto |
Tensors
A serialized tensor value.
|
| OnnxMl.TensorProto.Builder |
Tensors
A serialized tensor value.
|
| OnnxMl.TensorProto.DataLocation |
Location of the data for this tensor.
|
| OnnxMl.TensorProto.DataType |
Protobuf enum onnx.TensorProto.DataType
|
| OnnxMl.TensorProto.Segment |
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 |
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 |
|
| OnnxMl.TensorProtoOrBuilder |
|
| OnnxMl.TensorShapeProto |
Defines a tensor shape.
|
| OnnxMl.TensorShapeProto.Builder |
Defines a tensor shape.
|
| OnnxMl.TensorShapeProto.Dimension |
Protobuf type onnx.TensorShapeProto.Dimension
|
| OnnxMl.TensorShapeProto.Dimension.Builder |
Protobuf type onnx.TensorShapeProto.Dimension
|
| OnnxMl.TensorShapeProto.Dimension.ValueCase |
|
| OnnxMl.TensorShapeProto.DimensionOrBuilder |
|
| OnnxMl.TensorShapeProtoOrBuilder |
|
| OnnxMl.TrainingInfoProto |
Training information
TrainingInfoProto stores information for training a model.
|
| OnnxMl.TrainingInfoProto.Builder |
Training information
TrainingInfoProto stores information for training a model.
|
| OnnxMl.TrainingInfoProtoOrBuilder |
|
| OnnxMl.TypeProto |
Types
The standard ONNX data types.
|
| OnnxMl.TypeProto.Builder |
Types
The standard ONNX data types.
|
| OnnxMl.TypeProto.Map |
map<K,V>
|
| OnnxMl.TypeProto.Map.Builder |
map<K,V>
|
| OnnxMl.TypeProto.MapOrBuilder |
|
| OnnxMl.TypeProto.Opaque |
Protobuf type onnx.TypeProto.Opaque
|
| OnnxMl.TypeProto.Opaque.Builder |
Protobuf type onnx.TypeProto.Opaque
|
| OnnxMl.TypeProto.OpaqueOrBuilder |
|
| OnnxMl.TypeProto.Optional |
wrapper for Tensor, Sequence, or Map
|
| OnnxMl.TypeProto.Optional.Builder |
wrapper for Tensor, Sequence, or Map
|
| OnnxMl.TypeProto.OptionalOrBuilder |
|
| OnnxMl.TypeProto.Sequence |
repeated T
|
| OnnxMl.TypeProto.Sequence.Builder |
repeated T
|
| OnnxMl.TypeProto.SequenceOrBuilder |
|
| OnnxMl.TypeProto.SparseTensor |
Protobuf type onnx.TypeProto.SparseTensor
|
| OnnxMl.TypeProto.SparseTensor.Builder |
Protobuf type onnx.TypeProto.SparseTensor
|
| OnnxMl.TypeProto.SparseTensorOrBuilder |
|
| OnnxMl.TypeProto.Tensor |
Protobuf type onnx.TypeProto.Tensor
|
| OnnxMl.TypeProto.Tensor.Builder |
Protobuf type onnx.TypeProto.Tensor
|
| OnnxMl.TypeProto.TensorOrBuilder |
|
| OnnxMl.TypeProto.ValueCase |
|
| OnnxMl.TypeProtoOrBuilder |
|
| OnnxMl.ValueInfoProto |
Defines information on value, including the name, the type, and
the shape of the value.
|
| OnnxMl.ValueInfoProto.Builder |
Defines information on value, including the name, the type, and
the shape of the value.
|
| OnnxMl.ValueInfoProtoOrBuilder |
|
| OnnxMl.Version |
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.
|
| OnnxOperators |
|
| OnnxOperators.OperatorProto |
An OperatorProto represents the immutable specification of the signature
and semantics of an operator.
|
| OnnxOperators.OperatorProto.Builder |
An OperatorProto represents the immutable specification of the signature
and semantics of an operator.
|
| OnnxOperators.OperatorProtoOrBuilder |
|
| OnnxOperators.OperatorSetProto |
An OperatorSetProto represents an immutable set of immutable operator
specifications.
|
| OnnxOperators.OperatorSetProto.Builder |
An OperatorSetProto represents an immutable set of immutable operator
specifications.
|
| OnnxOperators.OperatorSetProtoOrBuilder |
|
| Op |
|
| Op.Type |
|
| OpBenchmarkListener |
|
| OpBenchmarkListener.Mode |
|
| OpBenchmarkListener.OpExec |
|
| OpClass |
|
| OpContext |
|
| OpDef |
Defines an operation.
|
| OpDef.ArgDef |
For describing inputs and outputs.
|
| OpDef.ArgDef.Builder |
For describing inputs and outputs.
|
| OpDef.ArgDefOrBuilder |
|
| OpDef.AttrDef |
Description of the graph-construction-time configuration of this
Op.
|
| OpDef.AttrDef.Builder |
Description of the graph-construction-time configuration of this
Op.
|
| OpDef.AttrDefOrBuilder |
|
| OpDef.Builder |
Defines an operation.
|
| OpDefOrBuilder |
|
| OpDefProtos |
|
| OpDeprecation |
Information about version-dependent deprecation of an op
|
| OpDeprecation.Builder |
Information about version-dependent deprecation of an op
|
| OpDeprecationOrBuilder |
|
| OpDescriptor |
|
| OpDescriptor |
|
| OpDescriptorHolder |
A utility class for accessing the nd4j op descriptors.
|
| Operands |
|
| Operands.NodeDescriptor |
|
| Operation |
|
| OpExecutioner |
|
| OpExecutioner.ExecutionerType |
|
| OpExecutioner.ProfilingMode |
|
| OpExecutionerUtil |
|
| OpImportFilter<GRAPH_TYPE,NODE_TYPE,ATTR_TYPE> |
Define whether the operation should be skipped during import
|
| OpImportOverride<GRAPH_TYPE,NODE_TYPE,ATTR_TYPE> |
|
| OpList |
A collection of OpDefs
|
| OpList.Builder |
A collection of OpDefs
|
| OpListOrBuilder |
|
| OpNamespace |
|
| OpNamespace.ArgDescriptor |
Protobuf type org.nd4j.ir.ArgDescriptor
|
| OpNamespace.ArgDescriptor.ArgType |
Protobuf enum org.nd4j.ir.ArgDescriptor.ArgType
|
| OpNamespace.ArgDescriptor.Builder |
Protobuf type org.nd4j.ir.ArgDescriptor
|
| OpNamespace.ArgDescriptorOrBuilder |
|
| OpNamespace.OpDescriptor |
Op descriptor
|
| OpNamespace.OpDescriptor.Builder |
Op descriptor
|
| OpNamespace.OpDescriptor.OpDeclarationType |
Protobuf enum org.nd4j.ir.OpDescriptor.OpDeclarationType
|
| OpNamespace.OpDescriptorList |
Protobuf type org.nd4j.ir.OpDescriptorList
|
| OpNamespace.OpDescriptorList.Builder |
Protobuf type org.nd4j.ir.OpDescriptorList
|
| OpNamespace.OpDescriptorListOrBuilder |
|
| OpNamespace.OpDescriptorOrBuilder |
|
| OpPredicate |
|
| OpProfiler |
|
| OpProfiler.OpProfilerListener |
|
| OpProfiler.PenaltyCause |
|
| OpStats |
|
| OpStatus |
|
| OpTestCase |
|
| OptimizationConfig |
|
| OptimizationDebugger |
Used as a listener for
|
| OptimizationHelper |
|
| OptimizationUtils |
|
| OptimizedGraphArrayHolder |
|
| Optimizer |
|
| OptimizerOptions |
Options passed to the graph optimizer
|
| OptimizerOptions.Builder |
Options passed to the graph optimizer
|
| OptimizerOptions.GlobalJitLevel |
Control the use of the compiler/jit.
|
| OptimizerOptions.Level |
Optimization level
|
| OptimizerOptionsOrBuilder |
|
| OptimizerSet |
|
| OpType |
|
| OpValidation |
|
| Or |
|
| Or |
|
| OrthogonalDistribution |
|
| OutAct |
Activations
|
| OutAndGrad |
|
| OutputAdapter<T> |
|
| OutputConfig |
|
| OutputMode |
|
| OutputMode |
|
| Pad |
|
| Pad.Mode |
|
| PaddingMode |
|
| PadMode |
Padding format
|
| PagedPointer |
|
| ParallelConcat |
|
| ParallelDataSetIterator |
|
| ParallelMultiDataSetIterator |
|
| ParallelStack |
|
| PartialRunSetupRequest |
Protobuf type tensorflow.PartialRunSetupRequest
|
| PartialRunSetupRequest.Builder |
Protobuf type tensorflow.PartialRunSetupRequest
|
| PartialRunSetupRequestOrBuilder |
|
| PartialRunSetupResponse |
Protobuf type tensorflow.PartialRunSetupResponse
|
| PartialRunSetupResponse.Builder |
Protobuf type tensorflow.PartialRunSetupResponse
|
| PartialRunSetupResponseOrBuilder |
|
| PartitionMode |
partition_mode == 0 - i.e.
|
| PCA |
|
| PerformanceTracker |
|
| Permute |
|
| PermuteDataSetPreProcessor |
|
| PermuteDataSetPreProcessor.PermutationTypes |
|
| Phase |
|
| PointersPair |
|
| PointIndex |
A point index is used for pulling something like a specific row from
an array.
|
| Polygamma |
|
| PolySchedule |
|
| Pooling2D |
Pooling2D operation
|
| Pooling2D.Divisor |
Divisor mode for average pooling only.
|
| Pooling2D.Pooling2DType |
|
| Pooling2DConfig |
|
| Pooling2DDerivative |
Pooling2DDerivative operation
|
| Pooling3D |
Pooling3D operation
|
| Pooling3D.Pooling3DType |
|
| Pooling3DConfig |
|
| Pooling3DDerivative |
Pooling3DDerivative operation
|
| PostulateMetaOp |
|
| Pow |
|
| Pow |
|
| PowBp |
|
| PowDerivative |
|
| PowPairwise |
|
| PreciseGELU |
|
| PreciseGELUDerivative |
GELU derivative
|
| PrecisionRecallCurve |
|
| PrecisionRecallCurve.Confusion |
|
| PrecisionRecallCurve.Point |
|
| PredicateMetaOp |
|
| Prediction |
|
| PRelu |
Parameterized ReLU op
|
| PReluBp |
|
| PrintAffinity |
|
| PrintVariable |
|
| ProbablisticMerge |
|
| Prod |
|
| ProdBp |
|
| ProfileAnalyzer |
|
| ProfileAnalyzer.OutputFormat |
TEXT: Human readable, columns padded for alignment
CSV: CSV format, comma separated
|
| ProfileAnalyzer.ProfileFormat |
Chrome profiler supports 2 formats:
SameDiff == JSON Array Format
TensorFlow == JSON Object Format
|
| ProfileAnalyzer.SortBy |
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)
|
| ProfilerConfig |
|
| ProfilingListener |
|
| ProfilingListener.Builder |
|
| ProfilingMode |
|
| PropertyMapping |
|
| Qr |
|
| QueueRunnerDef |
Protocol buffer representing a QueueRunner.
|
| QueueRunnerDef.Builder |
Protocol buffer representing a QueueRunner.
|
| QueueRunnerDefOrBuilder |
|
| QueueRunnerProtos |
|
| RampSchedule |
|
| Random |
|
| RandomBernoulli |
|
| RandomCrop |
|
| RandomExponential |
|
| RandomFactory |
|
| RandomGamma |
|
| RandomMultinomial |
|
| RandomNormal |
|
| RandomOp |
|
| RandomPoisson |
|
| RandomProjection |
|
| RandomShuffle |
|
| RandomStandardNormal |
|
| Range |
|
| Rank |
|
| RationalTanh |
|
| RationalTanhBp |
|
| RationalTanhDerivative |
Deprecated. |
| RDivBpOp |
|
| RDivOp |
Reverse Division operation
|
| ReaderBaseProtos |
|
| ReaderBaseState |
For serializing and restoring the state of ReaderBase, see
reader_base.h for details.
|
| ReaderBaseState.Builder |
For serializing and restoring the state of ReaderBase, see
reader_base.h for details.
|
| ReaderBaseStateOrBuilder |
|
| RealDivOp |
RealDivision operation
|
| Reciprocal |
|
| RectifiedLinear |
|
| RectifiedLinearDerivative |
|
| RectifiedTanh |
|
| RectifiedTanhBp |
|
| RectifiedTanhDerivative |
Deprecated. |
| RecvBufRequest |
Use of the fields below may vary by implementation.
|
| RecvBufRequest.Builder |
Use of the fields below may vary by implementation.
|
| RecvBufRequestOrBuilder |
|
| RecvBufResponse |
Use of the fields below may vary by implementation.
|
| RecvBufResponse.Builder |
Use of the fields below may vary by implementation.
|
| RecvBufResponseOrBuilder |
|
| RecvTensorRequest |
Protobuf type tensorflow.RecvTensorRequest
|
| RecvTensorRequest.Builder |
Protobuf type tensorflow.RecvTensorRequest
|
| RecvTensorRequestOrBuilder |
|
| RecvTensorResponse |
Protobuf type tensorflow.RecvTensorResponse
|
| RecvTensorResponse.Builder |
Protobuf type tensorflow.RecvTensorResponse
|
| RecvTensorResponseOrBuilder |
|
| ReduceBoolOp |
|
| ReduceFloatOp |
|
| ReduceLongOp |
|
| ReduceMetaOp |
|
| ReduceOp |
|
| ReduceSameOp |
|
| ReductionShape |
|
| RegisterGraphRequest |
Protobuf type tensorflow.RegisterGraphRequest
|
| RegisterGraphRequest.Builder |
Protobuf type tensorflow.RegisterGraphRequest
|
| RegisterGraphRequestOrBuilder |
|
| RegisterGraphResponse |
Protobuf type tensorflow.RegisterGraphResponse
|
| RegisterGraphResponse.Builder |
Protobuf type tensorflow.RegisterGraphResponse
|
| RegisterGraphResponseOrBuilder |
|
| RegressionEvaluation |
|
| RegressionEvaluation.Metric |
|
| Regularization |
|
| Regularization.ApplyStep |
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 |
|
| ReleaseCallableRequest |
Protobuf type tensorflow.ReleaseCallableRequest
|
| ReleaseCallableRequest.Builder |
Protobuf type tensorflow.ReleaseCallableRequest
|
| ReleaseCallableRequestOrBuilder |
|
| ReleaseCallableResponse |
Protobuf type tensorflow.ReleaseCallableResponse
|
| ReleaseCallableResponse.Builder |
Protobuf type tensorflow.ReleaseCallableResponse
|
| ReleaseCallableResponseOrBuilder |
|
| RelErrorFn |
|
| ReliabilityDiagram |
|
| Relu6 |
|
| Relu6Derivative |
|
| ReluInitScheme |
Initialize the weight to:
randn(shape) //N(0, 2/nIn);
|
| ReluLayer |
|
| ReluUniformInitScheme |
Initialize the weight to:
U(-sqrt(6/fanIn), sqrt(6/fanIn)
|
| RemainderOp |
|
| RemoteFusedGraphExecuteInfo |
Protocol buffer representing a handle to a tensorflow resource.
|
| RemoteFusedGraphExecuteInfo.Builder |
Protocol buffer representing a handle to a tensorflow resource.
|
| RemoteFusedGraphExecuteInfo.TensorShapeTypeProto |
Protobuf type tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
|
| RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder |
Protobuf type tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
|
| RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder |
|
| RemoteFusedGraphExecuteInfoOrBuilder |
|
| RemoteFusedGraphExecuteInfoProto |
|
| Repeat |
|
| ReplaceNans |
|
| ResetPolicy |
|
| ResetRequest |
Reset() allows misbehaving or slow sessions to be aborted and closed, and
causes their resources eventually to be released.
|
| ResetRequest.Builder |
Reset() allows misbehaving or slow sessions to be aborted and closed, and
causes their resources eventually to be released.
|
| ResetRequestOrBuilder |
|
| ResetResponse |
Protobuf type tensorflow.ResetResponse
|
| ResetResponse.Builder |
Protobuf type tensorflow.ResetResponse
|
| ResetResponseOrBuilder |
|
| Reshape |
|
| ResizeArea |
|
| ResizeBicubic |
|
| ResizeBilinear |
|
| ResizeNearestNeighbor |
|
| ResourceHandle |
|
| ResourceHandleProto |
Protocol buffer representing a handle to a tensorflow resource.
|
| ResourceHandleProto.Builder |
Protocol buffer representing a handle to a tensorflow resource.
|
| ResourceHandleProtoOrBuilder |
|
| RestoreV2 |
|
| ResultLambda<T> |
|
| Reverse |
|
| ReverseBp |
|
| ReverseSequence |
|
| ReverseV2 |
|
| RewriterConfig |
Graph rewriting is experimental and subject to change, not covered by any
API stability guarantees.
|
| RewriterConfig.Builder |
Graph rewriting is experimental and subject to change, not covered by any
API stability guarantees.
|
| RewriterConfig.CustomGraphOptimizer |
Message to describe custom graph optimizer and its parameters
|
| RewriterConfig.CustomGraphOptimizer.Builder |
Message to describe custom graph optimizer and its parameters
|
| RewriterConfig.CustomGraphOptimizerOrBuilder |
|
| RewriterConfig.MemOptType |
Protobuf enum tensorflow.RewriterConfig.MemOptType
|
| RewriterConfig.NumIterationsType |
Enum controlling the number of times to run optimizers.
|
| RewriterConfig.Toggle |
Protobuf enum tensorflow.RewriterConfig.Toggle
|
| RewriterConfigOrBuilder |
|
| RewriterConfigProtos |
|
| RgbToGrayscale |
|
| RGBtoGrayscaleDataSetPreProcessor |
|
| RgbToHsv |
|
| RgbToYiq |
|
| RgbToYuv |
|
| Rint |
|
| RmsProp |
|
| RmsProp.Builder |
|
| RmsPropUpdater |
|
| RmsPropUpdater |
|
| RnnDataFormat |
The data format of the input.
|
| RnnDataFormat |
|
| RNNWeights |
|
| ROC |
|
| ROC.CountsForThreshold |
|
| ROC.Metric |
AUROC: Area under ROC curve
AUPRC: Area under Precision-Recall Curve
|
| ROCArraySerializer |
|
| ROCBinary |
|
| ROCBinary.Metric |
AUROC: Area under ROC curve
AUPRC: Area under Precision-Recall Curve
|
| RocCurve |
|
| ROCMultiClass |
|
| ROCMultiClass.Metric |
AUROC: Area under ROC curve
AUPRC: Area under Precision-Recall Curve
|
| ROCSerializer |
|
| Roll |
|
| Round |
|
| RowVectorDeserializer |
Deprecated. |
| RowVectorSerializer |
Deprecated. |
| RPCOptions |
Protobuf type tensorflow.RPCOptions
|
| RPCOptions.Builder |
Protobuf type tensorflow.RPCOptions
|
| RPCOptionsOrBuilder |
|
| RShiftBits |
|
| RSqrt |
|
| RSubBpOp |
|
| RSubOp |
|
| RunCallableRequest |
Protobuf type tensorflow.RunCallableRequest
|
| RunCallableRequest.Builder |
Protobuf type tensorflow.RunCallableRequest
|
| RunCallableRequestOrBuilder |
|
| RunCallableResponse |
Protobuf type tensorflow.RunCallableResponse
|
| RunCallableResponse.Builder |
Protobuf type tensorflow.RunCallableResponse
|
| RunCallableResponseOrBuilder |
|
| RunGraphRequest |
Protobuf type tensorflow.RunGraphRequest
|
| RunGraphRequest.Builder |
Protobuf type tensorflow.RunGraphRequest
|
| RunGraphRequestOrBuilder |
|
| RunGraphResponse |
Protobuf type tensorflow.RunGraphResponse
|
| RunGraphResponse.Builder |
Protobuf type tensorflow.RunGraphResponse
|
| RunGraphResponseOrBuilder |
|
| RunMetadata |
Metadata output (i.e., non-Tensor) for a single Run() call.
|
| RunMetadata.Builder |
Metadata output (i.e., non-Tensor) for a single Run() call.
|
| RunMetadataOrBuilder |
|
| RunOptions |
Options for a single Run() call.
|
| RunOptions.Builder |
Options for a single Run() call.
|
| RunOptions.Experimental |
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 |
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 |
|
| RunOptions.TraceLevel |
TODO(pbar) Turn this into a TraceOptions proto which allows
tracing to be controlled in a more orthogonal manner?
|
| RunOptionsOrBuilder |
|
| RunStepRequest |
Protobuf type tensorflow.RunStepRequest
|
| RunStepRequest.Builder |
Protobuf type tensorflow.RunStepRequest
|
| RunStepRequestOrBuilder |
|
| RunStepResponse |
Protobuf type tensorflow.RunStepResponse
|
| RunStepResponse.Builder |
Protobuf type tensorflow.RunStepResponse
|
| RunStepResponseOrBuilder |
|
| SaddlePointExpansion |
|
| SameDiff |
|
| SameDiff.DefaultInferenceFactory |
|
| SameDiffConditional |
|
| SameDiffFunctionDefinition |
|
| SameDiffLambda |
|
| SameDiffLoss |
|
| SameDiffNoArgSingleLambda |
|
| SameDiffOp |
|
| SameDiffSingleLambda |
|
| SameDiffUtils |
|
| SamplingDataSetIterator |
A wrapper for a dataset to sample from.
|
| SavedModel |
SavedModel is the high level serialization format for TensorFlow Models.
|
| SavedModel.Builder |
SavedModel is the high level serialization format for TensorFlow Models.
|
| SavedModelOrBuilder |
|
| SavedModelProtos |
|
| SaverDef |
Protocol buffer representing the configuration of a Saver.
|
| SaverDef.Builder |
Protocol buffer representing the configuration of a Saver.
|
| SaverDef.CheckpointFormatVersion |
A version number that identifies a different on-disk checkpoint format.
|
| SaverDefOrBuilder |
|
| SaverProtos |
|
| SaveSliceInfoDef |
Protobuf type tensorflow.SaveSliceInfoDef
|
| SaveSliceInfoDef.Builder |
Protobuf type tensorflow.SaveSliceInfoDef
|
| SaveSliceInfoDefOrBuilder |
|
| SaveV2 |
|
| ScalarAdd |
|
| ScalarAnd |
Return a binary (0 or 1)
when greater than a number
|
| ScalarDivision |
|
| ScalarEps |
Return a binary (0 or 1) when greater than a number
|
| ScalarEquals |
Return a binary (0 or 1) when greater than a number
|
| ScalarFMod |
|
| ScalarGreaterThan |
Return a binary (0 or 1) when greater than a number
|
| ScalarGreaterThanOrEqual |
Return a binary (0 or 1) when greater than or equal to a number
|
| ScalarLessThan |
Return a binary (0 or 1) when less than a number
|
| ScalarLessThanOrEqual |
Return a binary (0 or 1) when less than
or equal to a number
|
| ScalarMax |
|
| ScalarMin |
|
| ScalarMultiplication |
|
| ScalarNot |
Return a binary (0 or 1)
when greater than a number
|
| ScalarNotEquals |
Return a binary (0 or 1)
when greater than a number
|
| ScalarOp |
|
| ScalarOr |
Return a binary (0 or 1)
when greater than a number
|
| ScalarRemainder |
|
| ScalarReverseDivision |
|
| ScalarReverseSubtraction |
|
| ScalarSet |
|
| ScalarSetValue |
|
| ScalarSubtraction |
|
| ScalarXor |
Return a binary (0 or 1)
when greater than a number
|
| ScatterAdd |
|
| ScatterDiv |
|
| ScatterMax |
|
| ScatterMin |
|
| ScatterMul |
|
| ScatterNd |
|
| ScatterNdAdd |
|
| ScatterNdSub |
|
| ScatterNdUpdate |
|
| ScatterSub |
|
| ScatterUpdate |
|
| ScatterUpdate.UpdateOp |
|
| ScheduleType |
|
| SConv2D |
|
| SConv2DDerivative |
|
| ScopedAllocatorOptions |
Protobuf type tensorflow.ScopedAllocatorOptions
|
| ScopedAllocatorOptions.Builder |
Protobuf type tensorflow.ScopedAllocatorOptions
|
| ScopedAllocatorOptionsOrBuilder |
|
| ScoreListener |
|
| SDBaseOps |
|
| SDBitwise |
|
| SDCNN |
|
| SDImage |
|
| SDIndex |
|
| SDIndex.IndexType |
Index types include the following:
1.
|
| SDLinalg |
|
| SDLoss |
|
| SDMath |
|
| SDNN |
|
| SDOps |
|
| SDRandom |
|
| SDRNN |
|
| SDValidation |
|
| SDValue |
An SDValue represents a value that can be passed in
and returned from a SameDiff
graph for execution. |
| SDValueType |
|
| SDVariable |
|
| SegmentMax |
|
| SegmentMaxBp |
|
| SegmentMean |
|
| SegmentMeanBp |
|
| SegmentMin |
|
| SegmentMinBp |
|
| SegmentProd |
|
| SegmentProdBp |
|
| SegmentSum |
|
| SegmentSumBp |
|
| Select |
|
| SELU |
|
| SeluBp |
|
| SELUDerivative |
Deprecated. |
| SequenceItem |
|
| SequenceItem.Vector |
|
| SequenceItemRoot |
|
| SequenceItemRoot.Vector |
|
| SequenceMask |
|
| ServerDef |
Defines the configuration of a single TensorFlow server.
|
| ServerDef.Builder |
Defines the configuration of a single TensorFlow server.
|
| ServerDefOrBuilder |
|
| ServerProtos |
|
| SessionMemMgr |
|
| Set |
Set
|
| SetRange |
|
| SetShape |
Returns the shape of the input array.
|
| Sgd |
SGD updater applies a learning rate only
|
| Sgd.Builder |
|
| SgdUpdater |
|
| SgdUpdater |
SGD updater applies a learning rate only
|
| ShannonEntropy |
|
| Shape |
Returns the shape of the input array.
|
| Shape |
|
| ShapeDescriptor |
|
| ShapeFunctionOptimizations |
|
| ShapeFunctionOptimizations.FuseChainedConcatOps |
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 |
Fuse [permute1 -> permute2 -> ...
|
| ShapeFunctionOptimizations.FuseChainedReshapes |
Fuse [reshape1 -> reshape2 -> ...
|
| ShapeInfoProvider |
|
| ShapeN |
|
| ShiftBits |
|
| Sigmoid |
|
| SigmoidCrossEntropyLoss |
|
| SigmoidCrossEntropyLossBp |
|
| SigmoidDerivative |
|
| SigmoidDerivative |
Deprecated. |
| SigmoidSchedule |
|
| SigmoidUniformInitScheme |
Initialize the weight to:
range = 4.0 * Math.sqrt(6.0 / (fanIn + fanOut))
U(-range,range)
|
| Sign |
|
| SignatureDef |
SignatureDef defines the signature of a computation supported by a TensorFlow
graph.
|
| SignatureDef.Builder |
SignatureDef defines the signature of a computation supported by a TensorFlow
graph.
|
| SignatureDefOrBuilder |
|
| Sin |
|
| SingleThreadArrayHolder |
|
| SingletonDataSetIterator |
|
| SingletonMultiDataSetIterator |
|
| Sinh |
|
| Size |
|
| SizeAt |
|
| SizeThresholdIntArrayIntIndexAdapter |
|
| SkipGramRound |
|
| Slice |
|
| SliceBp |
|
| SoftMax |
|
| SoftmaxBp |
|
| SoftmaxCrossEntropyLoss |
|
| SoftmaxCrossEntropyLossBp |
|
| SoftmaxCrossEntropyWithLogitsLoss |
|
| SoftmaxCrossEntropyWithLogitsLossBp |
|
| SoftPlus |
|
| SoftPlusBp |
|
| SoftSign |
|
| SoftSignBp |
|
| SoftSignDerivative |
Deprecated. |
| SpaceToBatch |
|
| SpaceToBatchND |
|
| SpaceToDepth |
|
| SparseSoftmaxCrossEntropyLossWithLogits |
|
| SparseSoftmaxCrossEntropyLossWithLogitsBp |
|
| SpecifiedIndex |
A SpecifiedIndex refers to a concrete set of points
to be selectively pulled from a given dimension.
|
| SpecifiedIndex.SparseSpecifiedIndexesGenerator |
A generator for SpecifiedIndex for
Itertools.product(Generator)
to iterate
over an array given a set of iterators |
| SpecifiedIndex.SpecifiedIndexesGenerator |
A generator for SpecifiedIndex for
Itertools.product(Generator)
to iterate
over an array given a set of iterators |
| SpillPolicy |
|
| Split |
Split op
|
| SplitTestAndTrain |
SplitV test and train
|
| SplitV |
SplitV op
|
| SpTreeCell |
|
| Sqrt |
|
| SqrtM |
|
| Square |
|
| SquaredDifferenceBpOp |
|
| SquaredDifferenceOp |
|
| SquaredNorm |
|
| SquaredNormBp |
|
| Squeeze |
|
| SRU |
|
| SRUCell |
|
| SRUCellOutputs |
|
| SRULayerOutputs |
|
| SRUWeights |
|
| Stabilize |
|
| StableNumber |
Returns a stable number based on infinity
or nan
|
| StableNumber.Type |
|
| Stack |
|
| StackAggregator |
|
| StackComparator |
|
| StackDescriptor |
|
| StackNode |
|
| StackTree |
|
| StandardDeviation |
|
| StandardDeviationBp |
|
| Standardize |
|
| StandardizeBp |
|
| StandardizeSerializerStrategy |
|
| StandardizeStrategy |
|
| StandardScaler |
Deprecated. |
| Stash<T> |
|
| StashManager |
|
| Step |
|
| StepSchedule |
|
| StepSequence |
Protobuf type tensorflow.StepSequence
|
| StepSequence.Builder |
Protobuf type tensorflow.StepSequence
|
| StepSequenceOrBuilder |
|
| StepStats |
Protobuf type tensorflow.StepStats
|
| StepStats.Builder |
Protobuf type tensorflow.StepStats
|
| StepStatsOrBuilder |
|
| StepStatsProtos |
|
| StopGradient |
|
| StridedSlice |
|
| StridedSliceBp |
|
| StringAggregator |
|
| StringCounter |
|
| StringEqualsAdapter |
|
| StringNotEqualsAdapter |
|
| SubBpOp |
|
| SubGraph |
|
| SubGraphPredicate |
|
| SubGraphProcessor |
|
| SubOp |
|
| SufficientStatistics |
|
| Sum |
|
| SumBp |
|
| Summary |
A Summary is a set of named values to be displayed by the
visualizer.
|
| Summary.Audio |
Protobuf type tensorflow.Summary.Audio
|
| Summary.Audio.Builder |
Protobuf type tensorflow.Summary.Audio
|
| Summary.AudioOrBuilder |
|
| Summary.Builder |
A Summary is a set of named values to be displayed by the
visualizer.
|
| Summary.Image |
Protobuf type tensorflow.Summary.Image
|
| Summary.Image.Builder |
Protobuf type tensorflow.Summary.Image
|
| Summary.ImageOrBuilder |
|
| Summary.Value |
Protobuf type tensorflow.Summary.Value
|
| Summary.Value.Builder |
Protobuf type tensorflow.Summary.Value
|
| Summary.Value.ValueCase |
|
| Summary.ValueOrBuilder |
|
| SummaryDescription |
Metadata associated with a series of Summary data
|
| SummaryDescription.Builder |
Metadata associated with a series of Summary data
|
| SummaryDescriptionOrBuilder |
|
| SummaryMetadata |
A SummaryMetadata encapsulates information on which plugins are able to make
use of a certain summary value.
|
| SummaryMetadata.Builder |
A SummaryMetadata encapsulates information on which plugins are able to make
use of a certain summary value.
|
| SummaryMetadata.PluginData |
Protobuf type tensorflow.SummaryMetadata.PluginData
|
| SummaryMetadata.PluginData.Builder |
Protobuf type tensorflow.SummaryMetadata.PluginData
|
| SummaryMetadata.PluginDataOrBuilder |
|
| SummaryMetadataOrBuilder |
|
| SummaryOrBuilder |
|
| SummaryProtos |
|
| Svd |
|
| Swish |
|
| SwishDerivative |
Swish derivative
|
| Switch |
|
| SystemInfo |
|
| TadDescriptor |
|
| TADManager |
|
| TadPack |
|
| Tan |
|
| TanDerivative |
|
| Tanh |
|
| TanhDerivative |
|
| TanhDerivative |
Deprecated. |
| Task |
|
| Task.ArchitectureType |
|
| Task.NetworkType |
|
| TaskUtils |
|
| TensorArray |
|
| TensorArrayConcat |
|
| TensorArrayGather |
|
| TensorArrayRead |
|
| TensorArrayRemove |
|
| TensorArrayScatter |
|
| TensorArraySize |
|
| TensorArraySplit |
|
| TensorArrayWrite |
|
| TensorBundleProtos |
|
| TensorConnection |
Defines a connection between two tensors in a `GraphDef`.
|
| TensorConnection.Builder |
Defines a connection between two tensors in a `GraphDef`.
|
| TensorConnectionOrBuilder |
|
| TensorDescription |
Protobuf type tensorflow.TensorDescription
|
| TensorDescription.Builder |
Protobuf type tensorflow.TensorDescription
|
| TensorDescriptionOrBuilder |
|
| TensorDescriptionProtos |
|
| TensorDescriptor |
|
| TensorflowDescriptorParser |
|
| TensorFlowImportValidator |
|
| TensorInfo |
Information about a Tensor necessary for feeding or retrieval.
|
| TensorInfo.Builder |
Information about a Tensor necessary for feeding or retrieval.
|
| TensorInfo.CooSparse |
For sparse tensors, The COO encoding stores a triple of values, indices,
and shape.
|
| TensorInfo.CooSparse.Builder |
For sparse tensors, The COO encoding stores a triple of values, indices,
and shape.
|
| TensorInfo.CooSparseOrBuilder |
|
| TensorInfo.EncodingCase |
|
| TensorInfoOrBuilder |
|
| TensorMmul |
TensorMmul
|
| TensorMmulBp |
|
| TensorNamespace |
|
| TensorNamespace.DataType |
Protobuf enum org.nd4j.ir.DataType
|
| TensorNamespace.StringStringEntryProto |
StringStringEntryProto follows the pattern for cross-proto-version maps.
|
| TensorNamespace.StringStringEntryProto.Builder |
StringStringEntryProto follows the pattern for cross-proto-version maps.
|
| TensorNamespace.StringStringEntryProtoOrBuilder |
|
| TensorNamespace.TensorProto |
Tensors
A serialized tensor value.
|
| TensorNamespace.TensorProto.Builder |
Tensors
A serialized tensor value.
|
| TensorNamespace.TensorProto.DataLocation |
Location of the data for this tensor.
|
| TensorNamespace.TensorProto.Segment |
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 |
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 |
|
| TensorNamespace.TensorProtoOrBuilder |
|
| TensorNamespace.TensorShapeProto |
Defines a tensor shape.
|
| TensorNamespace.TensorShapeProto.Builder |
Defines a tensor shape.
|
| TensorNamespace.TensorShapeProto.Dimension |
Protobuf type org.nd4j.ir.TensorShapeProto.Dimension
|
| TensorNamespace.TensorShapeProto.Dimension.Builder |
Protobuf type org.nd4j.ir.TensorShapeProto.Dimension
|
| TensorNamespace.TensorShapeProto.Dimension.ValueCase |
|
| TensorNamespace.TensorShapeProto.DimensionOrBuilder |
|
| TensorNamespace.TensorShapeProtoOrBuilder |
|
| TensorNamespace.TypeProto |
Define the types.
|
| TensorNamespace.TypeProto.Builder |
Define the types.
|
| TensorNamespace.TypeProto.TensorDescriptor |
Protobuf type org.nd4j.ir.TypeProto.TensorDescriptor
|
| TensorNamespace.TypeProto.TensorDescriptor.Builder |
Protobuf type org.nd4j.ir.TypeProto.TensorDescriptor
|
| TensorNamespace.TypeProto.TensorDescriptorOrBuilder |
|
| TensorNamespace.TypeProto.ValueCase |
|
| TensorNamespace.TypeProtoOrBuilder |
|
| TensorNamespace.ValueInfoProto |
Defines information on value, including the name, the type, and
the shape of the value.
|
| TensorNamespace.ValueInfoProto.Builder |
Defines information on value, including the name, the type, and
the shape of the value.
|
| TensorNamespace.ValueInfoProtoOrBuilder |
|
| TensorProto |
Protocol buffer representing a tensor.
|
| TensorProto.Builder |
Protocol buffer representing a tensor.
|
| TensorProtoOrBuilder |
|
| TensorProtos |
|
| TensorShapeProto |
Dimensions of a tensor.
|
| TensorShapeProto.Builder |
Dimensions of a tensor.
|
| TensorShapeProto.Dim |
One dimension of the tensor.
|
| TensorShapeProto.Dim.Builder |
One dimension of the tensor.
|
| TensorShapeProto.DimOrBuilder |
|
| TensorShapeProtoOrBuilder |
|
| TensorShapeProtos |
|
| TensorSliceProto |
Can only be interpreted if you know the corresponding TensorShape.
|
| TensorSliceProto.Builder |
Can only be interpreted if you know the corresponding TensorShape.
|
| TensorSliceProto.Extent |
Extent of the slice in one dimension.
|
| TensorSliceProto.Extent.Builder |
Extent of the slice in one dimension.
|
| TensorSliceProto.Extent.HasLengthCase |
|
| TensorSliceProto.ExtentOrBuilder |
|
| TensorSliceProtoOrBuilder |
|
| TensorSliceProtos |
|
| TestCase |
|
| TestCase.TestSerialization |
|
| TestDataSetIterator |
|
| TestMultiDataSetIterator |
|
| TFGraphMapper |
|
| TFGraphRunnerService |
|
| TFImportOverride |
|
| TFImportStatus |
|
| TFOpImportFilter |
|
| TFTensorMapper<J,B extends Buffer> |
|
| TFTensorMapper.ValueSource |
|
| TFTensorMappers |
|
| TFTensorMappers.BaseTensorMapper<T,U extends Buffer> |
|
| TFTensorMappers.BFloat16TensorMapper |
|
| TFTensorMappers.BoolTensorMapper |
|
| TFTensorMappers.Float16TensorMapper |
|
| TFTensorMappers.Float32TensorMapper |
|
| TFTensorMappers.Float64TensorMapper |
|
| TFTensorMappers.Int16TensorMapper |
|
| TFTensorMappers.Int32TensorMapper |
|
| TFTensorMappers.Int64TensorMapper |
|
| TFTensorMappers.Int8TensorMapper |
|
| TFTensorMappers.StringTensorMapper |
|
| TFTensorMappers.UInt16TensorMapper |
|
| TFTensorMappers.UInt32TensorMapper |
|
| TFTensorMappers.UInt64TensorMapper |
|
| TFTensorMappers.UInt8TensorMapper |
|
| ThreadPoolOptionProto |
Protobuf type tensorflow.ThreadPoolOptionProto
|
| ThreadPoolOptionProto.Builder |
Protobuf type tensorflow.ThreadPoolOptionProto
|
| ThreadPoolOptionProtoOrBuilder |
|
| ThreadSafeArrayHolder |
|
| ThresholdCompression |
|
| ThresholdRelu |
|
| ThresholdReluBp |
|
| Tile |
|
| TileBp |
|
| TimeSet |
|
| TimesOneMinus |
|
| ToggleBits |
|
| TopK |
|
| Trace |
|
| TraceEvent |
|
| TraceEvents |
|
| TraceOpts |
Protobuf type tensorflow.TraceOpts
|
| TraceOpts.Builder |
Protobuf type tensorflow.TraceOpts
|
| TraceOptsOrBuilder |
|
| TracingRequest |
Out-of-band request to configure distributed tracing.
|
| TracingRequest.Builder |
Out-of-band request to configure distributed tracing.
|
| TracingRequestOrBuilder |
|
| TracingResponse |
Protobuf type tensorflow.TracingResponse
|
| TracingResponse.Builder |
Protobuf type tensorflow.TracingResponse
|
| TracingResponseOrBuilder |
|
| TrainingConfig |
|
| TrainingConfig.Builder |
|
| TrainingSession |
|
| TrainingUtils |
Utilities for SameDiff training and inference
|
| TransformBoolOp |
|
| TransformFloatOp |
|
| TransformOp |
Transform operation:
stores the result in an ndarray
|
| Transforms |
|
| TransformSameOp |
|
| TransformStrictOp |
|
| TransportOptions |
|
| TransportOptions.RecvBufRespExtra |
Extra data needed on a non-RDMA RecvBufResponse.
|
| TransportOptions.RecvBufRespExtra.Builder |
Extra data needed on a non-RDMA RecvBufResponse.
|
| TransportOptions.RecvBufRespExtraOrBuilder |
|
| Transpose |
|
| Tri |
|
| TriangularSolve |
|
| Triu |
|
| TriuBp |
|
| TruncateDivOp |
|
| TruncatedNormalDistribution |
|
| TruncatedNormalDistribution |
|
| TypesProtos |
|
| UIAddName |
|
| UIAddName.Vector |
|
| UIEvent |
|
| UIEvent.Vector |
|
| UIEventSubtype |
|
| UIEventType |
|
| UIGraphStructure |
|
| UIGraphStructure.Vector |
|
| UIHardwareState |
|
| UIHardwareState.Vector |
|
| UIHistogram |
|
| UIHistogram.Vector |
|
| UIHistogramType |
|
| UIInfoType |
|
| UIListener |
|
| UIListener.Builder |
|
| UIListener.FileMode |
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 |
Used to specify which histograms should be collected.
|
| UIListener.TestEvaluation |
|
| UIListener.UpdateRatio |
Used to specify how the Update:Parameter ratios are computed.
|
| UIOp |
|
| UIOp.Vector |
|
| UIStaticInfoRecord |
|
| UIStaticInfoRecord.Vector |
|
| UISummaryStatistics |
|
| UISummaryStatistics.Vector |
|
| UISystemInfo |
|
| UISystemInfo.Vector |
|
| UIVariable |
|
| UIVariable.Vector |
|
| UnderSamplingByMaskingMultiDataSetPreProcessor |
|
| UnderSamplingByMaskingPreProcessor |
|
| UniformDistribution |
|
| UniformDistribution |
|
| UniformInitScheme |
Initialize the weight to:
range = 1.0 / Math.sqrt(fanIn)
U(-range,range)
|
| Unique |
|
| UniqueWithCounts |
|
| UnsortedSegmentMax |
|
| UnsortedSegmentMaxBp |
|
| UnsortedSegmentMean |
|
| UnsortedSegmentMeanBp |
|
| UnsortedSegmentMin |
|
| UnsortedSegmentMinBp |
|
| UnsortedSegmentProd |
|
| UnsortedSegmentProdBp |
|
| UnsortedSegmentSqrtN |
|
| UnsortedSegmentSqrtNBp |
|
| UnsortedSegmentSum |
|
| UnsortedSegmentSumBp |
|
| Unstack |
|
| UnusedFunctionOptimizations |
|
| UnusedFunctionOptimizations.RemoveUnusedConstants |
|
| UpdaterState |
|
| UpdaterState.Vector |
|
| Upsampling2d |
Upsampling operation
|
| Upsampling2dDerivative |
UpsamplingDerivative operation
|
| Upsampling3d |
Upsampling3d operation
|
| Upsampling3dBp |
|
| Value |
|
| ValuesDef |
Protocol buffer representing the values in ControlFlowContext.
|
| ValuesDef.Builder |
Protocol buffer representing the values in ControlFlowContext.
|
| ValuesDefOrBuilder |
|
| Variable |
|
| VariableDef |
Protocol buffer representing a Variable.
|
| VariableDef.Builder |
Protocol buffer representing a Variable.
|
| VariableDefOrBuilder |
|
| VariableProtos |
|
| VariableType |
|
| VariableUtils |
|
| Variance |
|
| VarianceBp |
|
| VariantTensorDataProto |
Protocol buffer representing the serialization format of DT_VARIANT tensors.
|
| VariantTensorDataProto.Builder |
Protocol buffer representing the serialization format of DT_VARIANT tensors.
|
| VariantTensorDataProtoOrBuilder |
|
| VarScalingNormalFanAvgInitScheme |
Initialize the weight to:
U / sqrt((fanin _ fanout) / 2)
|
| VarScalingNormalFanInInitScheme |
Initialize the weight to:
U / fanIn
|
| VarScalingNormalFanOutInitScheme |
Initialize the weight to:
U / sqrt(fanout)
|
| VarScalingNormalUniformFanInInitScheme |
Initialize the weight to:
range = = 3.0 / Math.sqrt(fanIn)
U(-range,range)
|
| VarScalingNormalUniformFanOutInitScheme |
Initialize the weight to:
randn(shape) //N(0, 2/nIn);
|
| VarScalingUniformFanAvgInitScheme |
Initialize the weight to:
range = = 3.0 / Math.sqrt((fanIn + fanOut) / 2)
U(-range,range)
|
| VarType |
|
| VerboseAction |
|
| VersionCheck |
|
| VersionCheck.Detail |
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 |
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 |
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 |
|
| VersionInfo |
|
| VersionsProtos |
|
| VGG16ImagePreProcessor |
|
| ViewIterator |
Iterate over a dataset
with views
|
| WeightDecay |
|
| WeightedCrossEntropyLoss |
|
| WeightInit |
|
| WeightInitScheme |
|
| WeightsFormat |
WeightsFormat reflects the possible formats for a convolution weight matrix.
|
| Where |
|
| WhereNumpy |
|
| While |
|
| WhileContextDef |
Protocol buffer representing a WhileContext object.
|
| WhileContextDef.Builder |
Protocol buffer representing a WhileContext object.
|
| WhileContextDefOrBuilder |
|
| WorkerProtos |
|
| WorkerServiceProtos |
|
| WorkspaceConfiguration |
|
| WorkspaceMgr<T extends Enum<T>> |
|
| WorkspacesBypassAction |
|
| WorkspacesCloseable |
|
| WorkspacesDebugAction |
|
| WorkspacesSpillAction |
|
| WorkspaceUtils |
|
| XavierFanInInitScheme |
Initialize the weight to:
randn(shape) //N(0, 2/nIn);
|
| XavierInitScheme |
Initialize the weight to:
range = = U * sqrt(2.0 / (fanIn + fanOut)
|
| XavierUniformInitScheme |
|
| Xor |
|
| XwPlusB |
|
| YiqToRgb |
|
| YuvToRgb |
|
| Zero |
|
| ZeroFraction |
|
| ZeroInitScheme |
Initialize the weight to zero.
|
| ZerosLike |
|
| Zeta |
|