Uses of Class
org.deeplearning4j.nn.api.MaskState

Packages that use MaskState

Package	Description
org.deeplearning4j.nn.api
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.preprocessor
org.deeplearning4j.nn.graph.vertex
org.deeplearning4j.nn.graph.vertex.impl
org.deeplearning4j.nn.graph.vertex.impl.rnn
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.pooling
org.deeplearning4j.nn.layers.recurrent
org.deeplearning4j.nn.layers.variational
org.deeplearning4j.nn.multilayer

Uses of MaskState in org.deeplearning4j.nn.api

Methods in org.deeplearning4j.nn.api that return MaskState

Modifier and Type	Method and Description
static MaskState	MaskState.valueOf(String name) Returns the enum constant of this type with the specified name.
static MaskState[]	MaskState.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.deeplearning4j.nn.api that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	Layer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize) Feed forward the input mask array, setting in in the layer as appropriate.

Methods in org.deeplearning4j.nn.api with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	Layer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize) Feed forward the input mask array, setting in in the layer as appropriate.

Uses of MaskState in org.deeplearning4j.nn.conf

Methods in org.deeplearning4j.nn.conf that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	InputPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.conf with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	InputPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Uses of MaskState in org.deeplearning4j.nn.conf.preprocessor

Methods in org.deeplearning4j.nn.conf.preprocessor that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ComposableInputPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	BaseInputPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	FeedForwardToRnnPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	RnnToFeedForwardPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	CnnToFeedForwardPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	FeedForwardToCnnPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	RnnToCnnPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	CnnToRnnPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.conf.preprocessor with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ComposableInputPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	BaseInputPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	FeedForwardToRnnPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	RnnToFeedForwardPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	CnnToFeedForwardPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	FeedForwardToCnnPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	RnnToCnnPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	CnnToRnnPreProcessor.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Uses of MaskState in org.deeplearning4j.nn.graph.vertex

Methods in org.deeplearning4j.nn.graph.vertex that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	GraphVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.graph.vertex with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	GraphVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)

Uses of MaskState in org.deeplearning4j.nn.graph.vertex.impl

Methods in org.deeplearning4j.nn.graph.vertex.impl that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ScaleVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	PreprocessorVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	PoolHelperVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	LayerVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	MergeVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	InputVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	L2NormalizeVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	SubsetVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ShiftVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ElementWiseVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	UnstackVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	StackVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	L2Vertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ReshapeVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.graph.vertex.impl with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ScaleVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	PreprocessorVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	PoolHelperVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	LayerVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	MergeVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	InputVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	L2NormalizeVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	SubsetVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ShiftVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ElementWiseVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	UnstackVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	StackVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	L2Vertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	ReshapeVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)

Uses of MaskState in org.deeplearning4j.nn.graph.vertex.impl.rnn

Methods in org.deeplearning4j.nn.graph.vertex.impl.rnn that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	DuplicateToTimeSeriesVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	LastTimeStepVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.graph.vertex.impl.rnn with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	DuplicateToTimeSeriesVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	LastTimeStepVertex.feedForwardMaskArrays(org.nd4j.linalg.api.ndarray.INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)

Uses of MaskState in org.deeplearning4j.nn.layers

Fields in org.deeplearning4j.nn.layers declared as MaskState

Modifier and Type	Field and Description
protected MaskState	BaseOutputLayer.inputMaskArrayState
protected MaskState	AbstractLayer.maskState

Methods in org.deeplearning4j.nn.layers that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	FrozenLayer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	AbstractLayer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.layers with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	FrozenLayer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	AbstractLayer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Uses of MaskState in org.deeplearning4j.nn.layers.pooling

Methods in org.deeplearning4j.nn.layers.pooling that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	GlobalPoolingLayer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.layers.pooling with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	GlobalPoolingLayer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Uses of MaskState in org.deeplearning4j.nn.layers.recurrent

Methods in org.deeplearning4j.nn.layers.recurrent that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	LSTM.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	RnnOutputLayer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	GravesBidirectionalLSTM.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	GravesLSTM.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.layers.recurrent with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	LSTM.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	RnnOutputLayer.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	GravesBidirectionalLSTM.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	GravesLSTM.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Uses of MaskState in org.deeplearning4j.nn.layers.variational

Methods in org.deeplearning4j.nn.layers.variational that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	VariationalAutoencoder.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.layers.variational with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	VariationalAutoencoder.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Uses of MaskState in org.deeplearning4j.nn.multilayer

Methods in org.deeplearning4j.nn.multilayer that return types with arguments of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	MultiLayerNetwork.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)

Methods in org.deeplearning4j.nn.multilayer with parameters of type MaskState

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	MultiLayerNetwork.feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)