Uses of Class
org.nd4j.autodiff.listeners.At

Packages that use At

Package	Description
org.nd4j.autodiff.listeners
org.nd4j.autodiff.listeners.checkpoint
org.nd4j.autodiff.listeners.debugging
org.nd4j.autodiff.listeners.impl
org.nd4j.autodiff.listeners.profiler
org.nd4j.autodiff.samediff
org.nd4j.autodiff.samediff.internal
org.nd4j.autodiff.validation

Uses of At in org.nd4j.autodiff.listeners

Methods in org.nd4j.autodiff.listeners that return At

Modifier and Type	Method	Description
At	At.copy()
At	At.copy(Operation operation)
static At	At.defaultAt()
static At	At.defaultAt(@NonNull Operation op)

Methods in org.nd4j.autodiff.listeners with parameters of type At

Modifier and Type	Method	Description
void	BaseEvaluationListener.activationAvailable(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, String varName, INDArray activation)
void	BaseListener.activationAvailable(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, String varName, INDArray activation)
void	Listener.activationAvailable(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, String varName, INDArray activation)	Called when any activation becomes available.
void	BaseEvaluationListener.activationAvailableEvaluations(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, String varName, INDArray activation)	See Listener.activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray)
ListenerResponse	BaseEvaluationListener.epochEnd(SameDiff sd, At at, LossCurve lossCurve, long epochTimeMillis)
ListenerResponse	BaseListener.epochEnd(SameDiff sd, At at, LossCurve lossCurve, long epochTimeMillis)
ListenerResponse	Listener.epochEnd(SameDiff sd, At at, LossCurve lossCurve, long epochTimeMillis)	Called at the end of every epoch, when fitting from an iterator
ListenerResponse	BaseEvaluationListener.epochEndEvaluations(SameDiff sd, At at, LossCurve lossCurve, long epochTimeMillis, EvaluationRecord evaluations)	See Listener.epochEnd(SameDiff, At, LossCurve, long), also provided the requested evaluations
void	BaseEvaluationListener.epochStart(SameDiff sd, At at)
void	BaseListener.epochStart(SameDiff sd, At at)
void	Listener.epochStart(SameDiff sd, At at)	Called at the start of every epoch, when fitting from an iterator
void	BaseEvaluationListener.epochStartEvaluations(SameDiff sd, At at)	See Listener.epochStart(SameDiff, At)
void	BaseListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)
void	Listener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)	Called at the end of every iteration, after all operations (including updating parameters) has been completed
void	BaseListener.iterationStart(SameDiff sd, At at, MultiDataSet data, long etlMs)
void	Listener.iterationStart(SameDiff sd, At at, MultiDataSet data, long etlTimeMs)	Called at the start of every iteration (minibatch), before any operations have been executed
void	BaseListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, OpContext opContext, INDArray[] outputs)
void	Listener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, OpContext opContext, INDArray[] outputs)	Called at the end of each operation execution
void	BaseListener.preOpExecution(SameDiff sd, At at, SameDiffOp op, OpContext opContext)
void	Listener.preOpExecution(SameDiff sd, At at, SameDiffOp op, OpContext opContext)	Called just before each operation is executed (native code called, etc) - after all inputs etc have been set
void	BaseListener.preUpdate(SameDiff sd, At at, Variable v, INDArray update)
void	Listener.preUpdate(SameDiff sd, At at, Variable v, INDArray update)	Called just before each parameter is to be updated - i.e., just before each parameter is modified.
ListenerResponse	BaseEvaluationListener.validationDone(SameDiff sd, At at, long validationTimeMillis)
ListenerResponse	BaseListener.validationDone(SameDiff sd, At at, long validationTimeMillis)
ListenerResponse	Listener.validationDone(SameDiff sd, At at, long validationTimeMillis)	Called after the end of every epoch, once validation evaluation is done, when training
ListenerResponse	BaseEvaluationListener.validationDoneEvaluations(SameDiff sd, At at, long validationTimeMillis, EvaluationRecord evaluations)	See Listener.validationDone(SameDiff, At, long), also provided the requested evaluations

Uses of At in org.nd4j.autodiff.listeners.checkpoint

Methods in org.nd4j.autodiff.listeners.checkpoint with parameters of type At

Modifier and Type	Method	Description
ListenerResponse	CheckpointListener.epochEnd(SameDiff sameDiff, At at, LossCurve lossCurve, long epochTimeMillis)
void	CheckpointListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)

Uses of At in org.nd4j.autodiff.listeners.debugging

Methods in org.nd4j.autodiff.listeners.debugging with parameters of type At

Modifier and Type	Method	Description
void	ArraySavingListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, OpContext opContext, INDArray[] outputs)
void	ControlflowListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, OpContext opContext, INDArray[] outputs)
void	OpBenchmarkListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, OpContext opContext, INDArray[] outputs)
void	ControlflowListener.preOpExecution(SameDiff sd, At at, SameDiffOp op, OpContext opContext)
void	ExecDebuggingListener.preOpExecution(SameDiff sd, At at, SameDiffOp op, OpContext opContext)
void	OpBenchmarkListener.preOpExecution(SameDiff sd, At at, SameDiffOp op, OpContext opContext)

Uses of At in org.nd4j.autodiff.listeners.impl

Methods in org.nd4j.autodiff.listeners.impl with parameters of type At

Modifier and Type	Method	Description
ListenerResponse	ScoreListener.epochEnd(SameDiff sd, At at, LossCurve lossCurve, long epochTimeMillis)
ListenerResponse	UIListener.epochEnd(SameDiff sd, At at, LossCurve lossCurve, long epochTimeMillis)
ListenerResponse	HistoryListener.epochEndEvaluations(SameDiff sd, At at, LossCurve lossCurve, long epochTimeMillis, EvaluationRecord evaluations)
void	ScoreListener.epochStart(SameDiff sd, At at)
void	UIListener.epochStart(SameDiff sd, At at)
void	ScoreListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)
void	UIListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)
void	ScoreListener.iterationStart(SameDiff sd, At at, MultiDataSet data, long etlMs)
void	UIListener.iterationStart(SameDiff sd, At at, MultiDataSet data, long etlMs)
void	UIListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, OpContext opContext, INDArray[] outputs)
void	UIListener.preUpdate(SameDiff sd, At at, Variable v, INDArray update)
ListenerResponse	HistoryListener.validationDoneEvaluations(SameDiff sd, At at, long validationTimeMillis, EvaluationRecord evaluations)

Uses of At in org.nd4j.autodiff.listeners.profiler

Methods in org.nd4j.autodiff.listeners.profiler with parameters of type At

Modifier and Type	Method	Description
void	ProfilingListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)
void	ProfilingListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, OpContext opContext, INDArray[] outputs)
void	ProfilingListener.preOpExecution(SameDiff sd, At at, SameDiffOp op, OpContext opContext)

Uses of At in org.nd4j.autodiff.samediff

Methods in org.nd4j.autodiff.samediff with parameters of type At

Modifier and Type	Method	Description
protected ExecutionResult	SameDiff.directExecHelper(Map<String,INDArray> placeholders, Map<String,SDValue> otherPlaceHolders, At at, MultiDataSet batch, Collection<String> requiredActivations, List<Listener> activeListeners, String... outputs)	Do inference for the given variables for a single batch, with training information
protected ExecutionResult	SameDiff.directExecHelper(Map<String,INDArray> placeholders, At at, MultiDataSet batch, Collection<String> requiredActivations, List<Listener> activeListeners, String... outputs)	Do inference for the given variables for a single batch, with training information

Uses of At in org.nd4j.autodiff.samediff.internal

Methods in org.nd4j.autodiff.samediff.internal with parameters of type At

Modifier and Type	Method	Description
abstract ExecutionResult	AbstractSession.getOutputs(O op, FrameIter outputFrameIter, Set<AbstractSession.VarId> inputs, Set<AbstractSession.VarId> allIterInputs, Set<String> constAndPhInputs, List<Listener> listeners, At at, MultiDataSet batch, Set<String> allReqVariables, Map<String,SDValue> otherPlaceHolders)	Execute the op - calculate INDArrays, or shape info, etc
ExecutionResult	InferenceSession.getOutputs(Pair<SameDiffOp,OpContext> opPair, FrameIter outputFrameIter, Set<AbstractSession.VarId> opInputs, Set<AbstractSession.VarId> allIterInputs, Set<String> constAndPhInputs, List<Listener> listeners, At at, MultiDataSet batch, Set<String> allReqVariables, Map<String,SDValue> otherPlaceHolders)
ExecutionResult	TrainingSession.getOutputs(Pair<SameDiffOp,OpContext> opPair, FrameIter outputFrameIter, Set<AbstractSession.VarId> opInputs, Set<AbstractSession.VarId> allIterInputs, Set<String> constAndPhInputs, List<Listener> listeners, At at, MultiDataSet batch, Set<String> allReqVariables, Map<String,SDValue> otherPlaceHolders)
ExecutionResult	AbstractSession.output(@NonNull List<String> variables, Map<String,T> placeholderValues, Map<String,SDValue> otherPlaceHolderValues, MultiDataSet batch, Collection<String> requiredActivations, List<Listener> listeners, At at)	Get the output of the session - i.e., perform inference/forward pass and return the outputs for the specified variables
Map<String,T>	AbstractSession.output(@NonNull List<String> variables, Map<String,T> placeholderValues, MultiDataSet batch, Collection<String> requiredActivations, List<Listener> listeners, At at)	Get the output of the session - i.e., perform inference/forward pass and return the outputs for the specified variables
protected Map<String,T>	AbstractSession.preprocessPlaceholders(Map<String,T> placeholders, At at)	Preprocess the placeholder values, if required.
protected Map<String,INDArray>	InferenceSession.preprocessPlaceholders(Map<String,INDArray> placeholders, At at)
protected Map<String,SDValue>	AbstractSession.preprocessValuePlaceholders(Map<String,SDValue> placeholders, At at)	Preprocess the placeholder values, if required.
Loss	TrainingSession.trainingIteration(TrainingConfig config, Map<String,INDArray> placeholders, Set<String> paramsToTrain, Map<String,GradientUpdater> updaters, MultiDataSet batch, List<String> lossVariables, List<Listener> listeners, At at)	Perform one iteration of training - i.e., do forward and backward passes, and update the parameters

Uses of At in org.nd4j.autodiff.validation

Methods in org.nd4j.autodiff.validation with parameters of type At

Modifier and Type	Method	Description
void	ActivationGradientCheckListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, OpContext opContext, INDArray[] outputs)