Uses of Interface
org.nd4j.autodiff.listeners.Listener

Packages that use Listener

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.config
org.nd4j.autodiff.samediff.internal
org.nd4j.autodiff.validation

Uses of Listener in org.nd4j.autodiff.listeners

Classes in org.nd4j.autodiff.listeners that implement Listener

Modifier and Type	Class	Description
class	BaseEvaluationListener
class	BaseListener

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

Classes in org.nd4j.autodiff.listeners.checkpoint that implement Listener

Modifier and Type	Class	Description
class	CheckpointListener

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

Classes in org.nd4j.autodiff.listeners.debugging that implement Listener

Modifier and Type	Class	Description
class	ArraySavingListener
class	ControlflowListener
class	ExecDebuggingListener
class	OpBenchmarkListener

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

Classes in org.nd4j.autodiff.listeners.impl that implement Listener

Modifier and Type	Class	Description
class	HistoryListener
class	ScoreListener
class	UIListener

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

Classes in org.nd4j.autodiff.listeners.profiler that implement Listener

Modifier and Type	Class	Description
class	ProfilingListener

Uses of Listener in org.nd4j.autodiff.samediff

Methods in org.nd4j.autodiff.samediff that return types with arguments of type Listener

Modifier and Type	Method	Description
List<Listener>	SameDiff.getListeners()	Gets the current SameDiff-wide listeners.

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

Modifier and Type	Method	Description
void	SameDiff.addListeners(Listener... listeners)	Add SameDiff-wide Listener instances.
void	SameDiff.evaluate(@NonNull DataSetIterator iterator, @NonNull Map<String,IEvaluation> variableEvals, @NonNull Listener... listeners)	Evaluation for multiple-output networks. See SameDiff.evaluate(MultiDataSetIterator, Map, Map, Listener[]).
void	SameDiff.evaluate(MultiDataSetIterator iterator, Map<String,List<IEvaluation>> variableEvals, Map<String,Integer> predictionLabelMapping, Listener... listeners)	Perform evaluation using classes such as Evaluation for classifier outputs and RegressionEvaluation for regression outputs. Example: classifier evaluation Predictions variable name: "softmaxOutput" Evaluations to perform: Evaluation Data: single input, single output MultiDataSets Code:
void	SameDiff.evaluateMultiple(DataSetIterator iterator, Map<String,List<IEvaluation>> variableEvals, @NonNull Listener... listeners)	Evaluation for multiple output networks - one or more.
History	SameDiff.fit(@NonNull DataSetIterator iter, int numEpochs, @NonNull Listener... listeners)	See SameDiff.fit(DataSetIterator, int, DataSetIterator, int, Listener...), does not preform validation.
History	SameDiff.fit(@NonNull DataSetIterator iter, int numEpochs, DataSetIterator validationIter, int validationFrequency, @NonNull Listener... listeners)	Fit the SameDiff instance based on DataSetIterator for the specified number of epochs. This method can only be used for singe input, single output SameDiff instances as DataSet only supports a single input and a single output. Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.
protected History	SameDiff.fit(@NonNull MultiDataSetIterator iter, int numEpochs, boolean incrementEpochCount, MultiDataSetIterator validationData, int validationFrequency, @NonNull Listener... listeners)
History	SameDiff.fit(@NonNull MultiDataSetIterator iter, int numEpochs, @NonNull Listener... listeners)	See SameDiff.fit(MultiDataSetIterator, int, MultiDataSetIterator, int, Listener...), does not preform validation.
History	SameDiff.fit(@NonNull MultiDataSetIterator iter, int numEpochs, MultiDataSetIterator validationIter, int validationFrequency, @NonNull Listener... listeners)	Fit the SameDiff instance based on MultiDataSetIterator for the specified number of epochs. This method can both singe input, single output and multi-input, multi-output SameDiff instances Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.
History	SameDiff.fit(@NonNull MultiDataSet dataSet, @NonNull Listener... listeners)	Fit the SameDiff instance based on a single MultiDataSet (i.e., a single minibatch for one iteration). Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.
History	SameDiff.fit(@NonNull DataSet dataSet, @NonNull Listener... listeners)	Fit the SameDiff instance based on a single DataSet (i.e., a single minibatch for one iteration). This method can only be used for singe input, single output SameDiff instances as DataSet only supports a single input and a single output. Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.
void	SameDiff.setListeners(Listener... listeners)	Set the current SameDiff-wide Listener instances.

Method parameters in org.nd4j.autodiff.samediff with type arguments of type Listener

Modifier and Type	Method	Description
void	SameDiff.addListeners(Collection<? extends Listener> listeners)	See SameDiff.addListeners(Listener...).
protected ExecutionResult	SameDiff.batchOutputHelper(Map<String,INDArray> placeholders, List<Listener> listeners, Operation operation, String... outputs)
protected ExecutionResult	SameDiff.batchOutputHelper(Map<String,INDArray> placeholders, Map<String,SDValue> otherPlaceholders, List<Listener> listeners, Operation operation, String... outputs)
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
void	SameDiff.evaluate(@NonNull DataSetIterator iterator, @NonNull String outputVariable, @NonNull List<Listener> listeners, @NonNull IEvaluation... evaluations)	Evaluate the performance of a single variable's prediction. For example, if the variable to evaluatate was called "softmax" you would use:
void	SameDiff.evaluate(@NonNull MultiDataSetIterator iterator, @NonNull String outputVariable, int labelIndex, @NonNull List<Listener> listeners, @NonNull IEvaluation... evaluations)	Evaluate the performance of a single variable's prediction. For example, if the variable to evaluatate was called "softmax" you would use:
protected History	SameDiff.fitHelper(@NonNull MultiDataSetIterator iter, int numEpochs, boolean incrementEpochCount, MultiDataSetIterator validationData, int validationFrequency, @NonNull List<Listener> listeners)
Map<String,INDArray>	SameDiff.output(@NonNull DataSetIterator iterator, @NonNull List<Listener> listeners, @NonNull String... outputs)	Do inference on a network with a single input. For example, if the variable to infer was called "softmax" you would use:
Map<String,INDArray>	SameDiff.output(@NonNull MultiDataSetIterator iterator, @NonNull List<Listener> listeners, @NonNull String... outputs)	Perform inference. Example: classifier inference Predictions variable name: "softmaxOutput" Evaluations to perform: Evaluation Data: single output MultiDataSets Code:
Map<String,INDArray>	SameDiff.output(Map<String,INDArray> placeholders, List<Listener> listeners, String... outputs)	Do inference for the given variables for a single batch.
ExecutionResult	SameDiff.output(Map<String,INDArray> placeholders, Map<String,SDValue> sequencePlaceHolders, List<Listener> listeners, String... outputs)	Do inference for the given variables for a single batch.
List<Map<String,INDArray>>	SameDiff.outputBatches(DataSetIterator iterator, List<Listener> listeners, String... outputs)	See SameDiff.output(DataSetIterator, List, String...), but without the concatenation of batches.
List<Map<String,INDArray>>	SameDiff.outputBatches(MultiDataSetIterator iterator, List<Listener> listeners, String... outputs)	Perform inference. Example: classifier inference Predictions variable name: "softmaxOutput" Evaluations to perform: Evaluation Data: single output MultiDataSets Code:
Map<String,SDValue>	SameDiff.outputValues(Map<String,SDValue> placeholders, List<Listener> listeners, @NonNull List<String> outputs)	Do inference for the given variables for a single batch.
void	SameDiff.setListeners(Collection<? extends Listener> listeners)	See SameDiff.setListeners(Listener...).

Uses of Listener in org.nd4j.autodiff.samediff.config

Methods in org.nd4j.autodiff.samediff.config with parameters of type Listener

Modifier and Type	Method	Description
BatchOutputConfig	BatchOutputConfig.listeners(@NonNull Listener... listeners)	Add listeners for this operation
EvaluationConfig	EvaluationConfig.listeners(@NonNull Listener... listeners)	Add listeners for this operation
FitConfig	FitConfig.listeners(@NonNull Listener... listeners)	Add listeners for this operation
OutputConfig	OutputConfig.listeners(@NonNull Listener... listeners)	Add listeners for this operation

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

Fields in org.nd4j.autodiff.samediff.internal with type parameters of type Listener

Modifier and Type	Field	Description
protected List<Listener>	TrainingSession.listeners

Method parameters in org.nd4j.autodiff.samediff.internal with type arguments of type Listener

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)

Uses of Listener in org.nd4j.autodiff.validation

Classes in org.nd4j.autodiff.validation that implement Listener

Modifier and Type	Class	Description
class	ActivationGradientCheckListener