Uses of Class
org.deeplearning4j.nn.api.MaskState
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Uses of MaskState in org.deeplearning4j.nn.api
Methods in org.deeplearning4j.nn.api that return MaskState Modifier and Type Method 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 Description Pair<INDArray,MaskState>
Layer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Feed forward the input mask array, setting in the layer as appropriate.Methods in org.deeplearning4j.nn.api with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
Layer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Feed forward the input mask array, setting 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 Description Pair<INDArray,MaskState>
InputPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.conf with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
InputPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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Uses of MaskState in org.deeplearning4j.nn.conf.graph
Methods in org.deeplearning4j.nn.conf.graph that return types with arguments of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
AttentionVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.conf.graph with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
AttentionVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
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Uses of MaskState in org.deeplearning4j.nn.conf.layers
Methods in org.deeplearning4j.nn.conf.layers that return types with arguments of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
LearnedSelfAttentionLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.conf.layers with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
LearnedSelfAttentionLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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Uses of MaskState in org.deeplearning4j.nn.conf.layers.samediff
Methods in org.deeplearning4j.nn.conf.layers.samediff that return types with arguments of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
SameDiffLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
SameDiffVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.conf.layers.samediff with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
SameDiffLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
SameDiffVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
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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 Description Pair<INDArray,MaskState>
BaseInputPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
Cnn3DToFeedForwardPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
CnnToFeedForwardPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
CnnToRnnPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ComposableInputPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
FeedForwardToCnn3DPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
FeedForwardToCnnPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
FeedForwardToRnnPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
RnnToCnnPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
RnnToFeedForwardPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.conf.preprocessor with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
BaseInputPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
Cnn3DToFeedForwardPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
CnnToFeedForwardPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
CnnToRnnPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ComposableInputPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
FeedForwardToCnn3DPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
FeedForwardToCnnPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
FeedForwardToRnnPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
RnnToCnnPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
RnnToFeedForwardPreProcessor. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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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 Description Pair<INDArray,MaskState>
BaseWrapperVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
GraphVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.graph.vertex with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
BaseWrapperVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
GraphVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
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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 Description Pair<INDArray,MaskState>
ElementWiseVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
InputVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
L2NormalizeVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
L2Vertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
LayerVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
MergeVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
PoolHelperVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
PreprocessorVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ReshapeVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ScaleVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ShiftVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
StackVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
SubsetVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
UnstackVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.graph.vertex.impl with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
ElementWiseVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
InputVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
L2NormalizeVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
L2Vertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
LayerVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
MergeVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
PoolHelperVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
PreprocessorVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ReshapeVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ScaleVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ShiftVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
StackVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
SubsetVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
UnstackVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
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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 Description Pair<INDArray,MaskState>
DuplicateToTimeSeriesVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
LastTimeStepVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ReverseTimeSeriesVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.graph.vertex.impl.rnn with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
DuplicateToTimeSeriesVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
LastTimeStepVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ReverseTimeSeriesVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
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Uses of MaskState in org.deeplearning4j.nn.layers
Fields in org.deeplearning4j.nn.layers declared as MaskState Modifier and Type Field 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 Description Pair<INDArray,MaskState>
AbstractLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.layers with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
AbstractLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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Uses of MaskState in org.deeplearning4j.nn.layers.convolution
Methods in org.deeplearning4j.nn.layers.convolution that return types with arguments of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
Cnn3DLossLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
CnnLossLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
Convolution1DLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ConvolutionLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.layers.convolution with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
Cnn3DLossLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
CnnLossLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
Convolution1DLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
ConvolutionLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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Uses of MaskState in org.deeplearning4j.nn.layers.convolution.subsampling
Methods in org.deeplearning4j.nn.layers.convolution.subsampling that return types with arguments of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
Subsampling1DLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
SubsamplingLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.layers.convolution.subsampling with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
Subsampling1DLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
SubsamplingLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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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 Description Pair<INDArray,MaskState>
GlobalPoolingLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.layers.pooling with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
GlobalPoolingLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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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 Description Pair<INDArray,MaskState>
BidirectionalLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
GravesBidirectionalLSTM. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
GravesLSTM. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Deprecated.Pair<INDArray,MaskState>
LastTimeStepLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
LSTM. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
MaskZeroLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
RnnLossLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
RnnOutputLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
TimeDistributedLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.layers.recurrent with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
BidirectionalLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
GravesBidirectionalLSTM. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
GravesLSTM. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Deprecated.Pair<INDArray,MaskState>
LastTimeStepLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
LSTM. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
MaskZeroLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
RnnLossLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
RnnOutputLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
TimeDistributedLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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Uses of MaskState in org.deeplearning4j.nn.layers.samediff
Methods in org.deeplearning4j.nn.layers.samediff that return types with arguments of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
SameDiffLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
SameDiffGraphVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.layers.samediff with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
SameDiffLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Pair<INDArray,MaskState>
SameDiffGraphVertex. feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
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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 Description Pair<INDArray,MaskState>
VariationalAutoencoder. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.layers.variational with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
VariationalAutoencoder. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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Uses of MaskState in org.deeplearning4j.nn.layers.wrapper
Methods in org.deeplearning4j.nn.layers.wrapper that return types with arguments of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
BaseWrapperLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.layers.wrapper with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
BaseWrapperLayer. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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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 Description Pair<INDArray,MaskState>
MultiLayerNetwork. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
Methods in org.deeplearning4j.nn.multilayer with parameters of type MaskState Modifier and Type Method Description Pair<INDArray,MaskState>
MultiLayerNetwork. feedForwardMaskArray(INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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