Uses of Class
org.deeplearning4j.nn.conf.inputs.InputType

Packages that use InputType

Package	Description
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.graph
org.deeplearning4j.nn.conf.graph.rnn
org.deeplearning4j.nn.conf.inputs
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.layers.convolutional
org.deeplearning4j.nn.conf.layers.misc
org.deeplearning4j.nn.conf.layers.objdetect
org.deeplearning4j.nn.conf.layers.recurrent
org.deeplearning4j.nn.conf.layers.samediff
org.deeplearning4j.nn.conf.layers.util
org.deeplearning4j.nn.conf.layers.variational
org.deeplearning4j.nn.conf.layers.wrapper
org.deeplearning4j.nn.conf.memory
org.deeplearning4j.nn.conf.preprocessor
org.deeplearning4j.nn.graph
org.deeplearning4j.nn.layers.recurrent
org.deeplearning4j.nn.layers.util
org.deeplearning4j.nn.multilayer
org.deeplearning4j.nn.transferlearning
org.deeplearning4j.preprocessors
org.deeplearning4j.util

Uses of InputType in org.deeplearning4j.nn.conf

Fields in org.deeplearning4j.nn.conf declared as InputType

Modifier and Type	Field	Description
protected InputType	MultiLayerConfiguration.Builder.inputType

Fields in org.deeplearning4j.nn.conf with type parameters of type InputType

Modifier and Type	Field	Description
protected List<InputType>	ComputationGraphConfiguration.GraphBuilder.networkInputTypes

Methods in org.deeplearning4j.nn.conf that return InputType

Modifier and Type	Method	Description
InputType	InputPreProcessor.getOutputType(InputType inputType)	For a given type of input to this preprocessor, what is the type of the output?

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

Modifier and Type	Method	Description
Map<String,InputType>	ComputationGraphConfiguration.getLayerActivationTypes(boolean addPreprocIfNecessary, boolean overrideInputs, InputType... inputTypes)	For the given input shape/type for the network, return a map of activation sizes for each layer and vertex in the graph.
Map<String,InputType>	ComputationGraphConfiguration.getLayerActivationTypes(boolean addPreprocIfNecessary, InputType... inputTypes)	For the given input shape/type for the network, return a map of activation sizes for each layer and vertex in the graph.
Map<String,InputType>	ComputationGraphConfiguration.getLayerActivationTypes(InputType... inputTypes)	For the given input shape/type for the network, return a map of activation sizes for each layer and vertex in the graph.
Map<String,InputType>	ComputationGraphConfiguration.GraphBuilder.getLayerActivationTypes()	For the (perhaps partially constructed) network configuration, return a map of activation sizes for each layer and vertex in the graph. Note 1: The network configuration may be incomplete, but the inputs have been added to the layer already. Note 2: To use this method, the network input types must have been set using ComputationGraphConfiguration.GraphBuilder.setInputTypes(InputType...) first
List<InputType>	MultiLayerConfiguration.getLayerActivationTypes(@NonNull InputType inputType)	For the given input shape/type for the network, return a list of activation sizes for each layer in the network. i.e., list.get(i) is the output activation sizes for layer i
List<InputType>	NeuralNetConfiguration.ListBuilder.getLayerActivationTypes()	For the (perhaps partially constructed) network configuration, return a list of activation sizes for each layer in the network. Note: To use this method, the network input type must have been set using NeuralNetConfiguration.ListBuilder.setInputType(InputType) first

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

Modifier and Type	Method	Description
void	ComputationGraphConfiguration.addPreProcessors(boolean addPreprocIfNecessary, boolean forceOverrideInputs, InputType... inputTypes)	Add preprocessors automatically, given the specified types of inputs for the network.
void	ComputationGraphConfiguration.addPreProcessors(boolean forceOverrideInputs, InputType... inputTypes)	Add preprocessors automatically, given the specified types of inputs for the network.
void	ComputationGraphConfiguration.addPreProcessors(InputType... inputTypes)	Add preprocessors automatically, given the specified types of inputs for the network.
Map<String,InputType>	ComputationGraphConfiguration.getLayerActivationTypes(boolean addPreprocIfNecessary, boolean overrideInputs, InputType... inputTypes)	For the given input shape/type for the network, return a map of activation sizes for each layer and vertex in the graph.
Map<String,InputType>	ComputationGraphConfiguration.getLayerActivationTypes(boolean addPreprocIfNecessary, InputType... inputTypes)	For the given input shape/type for the network, return a map of activation sizes for each layer and vertex in the graph.
Map<String,InputType>	ComputationGraphConfiguration.getLayerActivationTypes(InputType... inputTypes)	For the given input shape/type for the network, return a map of activation sizes for each layer and vertex in the graph.
List<InputType>	MultiLayerConfiguration.getLayerActivationTypes(@NonNull InputType inputType)	For the given input shape/type for the network, return a list of activation sizes for each layer in the network. i.e., list.get(i) is the output activation sizes for layer i
NetworkMemoryReport	ComputationGraphConfiguration.getMemoryReport(InputType... inputTypes)	Get a MemoryReport for the given computation graph configuration.
NetworkMemoryReport	MultiLayerConfiguration.getMemoryReport(InputType inputType)	Get a MemoryReport for the given MultiLayerConfiguration.
InputType	InputPreProcessor.getOutputType(InputType inputType)	For a given type of input to this preprocessor, what is the type of the output?
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.setInputType(InputType inputType)
NeuralNetConfiguration.ListBuilder	NeuralNetConfiguration.ListBuilder.setInputType(InputType inputType)
ComputationGraphConfiguration.GraphBuilder	ComputationGraphConfiguration.GraphBuilder.setInputTypes(InputType... inputTypes)	Specify the types of inputs to the network, so that: (a) preprocessors can be automatically added, and (b) the nIns (input size) for each layer can be automatically calculated and set The order here is the same order as .addInputs().

Uses of InputType in org.deeplearning4j.nn.conf.graph

Methods in org.deeplearning4j.nn.conf.graph that return InputType

Modifier and Type	Method	Description
InputType	AttentionVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ElementWiseVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	FrozenVertex.getOutputType(int layerIndex, InputType... vertexInputs)
abstract InputType	GraphVertex.getOutputType(int layerIndex, InputType... vertexInputs)	Determine the type of output for this GraphVertex, given the specified inputs.
InputType	L2NormalizeVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	L2Vertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	LayerVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	MergeVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	PoolHelperVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	PreprocessorVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ReshapeVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ScaleVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ShiftVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	StackVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	SubsetVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	UnstackVertex.getOutputType(int layerIndex, InputType... vertexInputs)

Methods in org.deeplearning4j.nn.conf.graph with parameters of type InputType

Modifier and Type	Method	Description
MemoryReport	ElementWiseVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	FrozenVertex.getMemoryReport(InputType... inputTypes)
abstract MemoryReport	GraphVertex.getMemoryReport(InputType... inputTypes)	This is a report of the estimated memory consumption for the given vertex
MemoryReport	L2NormalizeVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	L2Vertex.getMemoryReport(InputType... inputTypes)
MemoryReport	LayerVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	MergeVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	PoolHelperVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	PreprocessorVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	ReshapeVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	ScaleVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	ShiftVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	StackVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	SubsetVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	UnstackVertex.getMemoryReport(InputType... inputTypes)
InputType	AttentionVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ElementWiseVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	FrozenVertex.getOutputType(int layerIndex, InputType... vertexInputs)
abstract InputType	GraphVertex.getOutputType(int layerIndex, InputType... vertexInputs)	Determine the type of output for this GraphVertex, given the specified inputs.
InputType	L2NormalizeVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	L2Vertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	LayerVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	MergeVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	PoolHelperVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	PreprocessorVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ReshapeVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ScaleVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ShiftVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	StackVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	SubsetVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	UnstackVertex.getOutputType(int layerIndex, InputType... vertexInputs)

Uses of InputType in org.deeplearning4j.nn.conf.graph.rnn

Methods in org.deeplearning4j.nn.conf.graph.rnn that return InputType

Modifier and Type	Method	Description
InputType	DuplicateToTimeSeriesVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	LastTimeStepVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ReverseTimeSeriesVertex.getOutputType(int layerIndex, InputType... vertexInputs)

Methods in org.deeplearning4j.nn.conf.graph.rnn with parameters of type InputType

Modifier and Type	Method	Description
MemoryReport	DuplicateToTimeSeriesVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	LastTimeStepVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	ReverseTimeSeriesVertex.getMemoryReport(InputType... inputTypes)
InputType	DuplicateToTimeSeriesVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	LastTimeStepVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ReverseTimeSeriesVertex.getOutputType(int layerIndex, InputType... vertexInputs)

Uses of InputType in org.deeplearning4j.nn.conf.inputs

Subclasses of InputType in org.deeplearning4j.nn.conf.inputs

Modifier and Type	Class	Description
static class	InputType.InputTypeConvolutional
static class	InputType.InputTypeConvolutional3D
static class	InputType.InputTypeConvolutionalFlat
static class	InputType.InputTypeFeedForward
static class	InputType.InputTypeRecurrent

Methods in org.deeplearning4j.nn.conf.inputs that return InputType

Modifier and Type	Method	Description
static InputType	InputType.convolutional(long height, long width, long depth)	Input type for convolutional (CNN) data, that is 4d with shape [miniBatchSize, channels, height, width].
static InputType	InputType.convolutional(long height, long width, long depth, CNN2DFormat format)
static InputType	InputType.convolutional3D(long depth, long height, long width, long channels)	Deprecated. Use convolutional3D(Convolution3D.DataFormat, long, long, long, long)
static InputType	InputType.convolutional3D(Convolution3D.DataFormat dataFormat, long depth, long height, long width, long channels)	Input type for 3D convolutional (CNN3D) 5d data: If NDHWC format [miniBatchSize, depth, height, width, channels] If NDCWH
static InputType	InputType.convolutionalFlat(long height, long width, long depth)	Input type for convolutional (CNN) data, where the data is in flattened (row vector) format.
static InputType	InputType.feedForward(long size)	InputType for feed forward network data
static InputType	InputType.feedForward(long size, DataFormat timeDistributedFormat)
InputType	InputType.InputTypeConvolutionalFlat.getUnflattenedType()
static InputType	InputType.inferInputType(INDArray inputArray)
static InputType[]	InputType.inferInputTypes(INDArray... inputArrays)
static InputType	InputType.recurrent(long size)	InputType for recurrent neural network (time series) data
static InputType	InputType.recurrent(long size, long timeSeriesLength)	InputType for recurrent neural network (time series) data
static InputType	InputType.recurrent(long size, long timeSeriesLength, RNNFormat format)
static InputType	InputType.recurrent(long size, RNNFormat format)

Uses of InputType in org.deeplearning4j.nn.conf.layers

Methods in org.deeplearning4j.nn.conf.layers that return InputType

Modifier and Type	Method	Description
InputType	ActivationLayer.getOutputType(int layerIndex, InputType inputType)
InputType	BaseRecurrentLayer.getOutputType(int layerIndex, InputType inputType)
InputType	BatchNormalization.getOutputType(int layerIndex, InputType inputType)
InputType	CapsuleLayer.getOutputType(int layerIndex, InputType inputType)
InputType	CapsuleStrengthLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Cnn3DLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	CnnLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Convolution1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Convolution3D.getOutputType(int layerIndex, InputType inputType)
InputType	ConvolutionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Deconvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	Deconvolution3D.getOutputType(int layerIndex, InputType inputType)
InputType	DepthwiseConvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	DropoutLayer.getOutputType(int layerIndex, InputType inputType)
InputType	EmbeddingSequenceLayer.getOutputType(int layerIndex, InputType inputType)
InputType	FeedForwardLayer.getOutputType(int layerIndex, InputType inputType)
InputType	GlobalPoolingLayer.getOutputType(int layerIndex, InputType inputType)
abstract InputType	Layer.getOutputType(int layerIndex, InputType inputType)	For a given type of input to this layer, what is the type of the output?
InputType	LearnedSelfAttentionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	LocallyConnected1D.getOutputType(int layerIndex, InputType inputType)
InputType	LocallyConnected2D.getOutputType(int layerIndex, InputType inputType)
InputType	LocalResponseNormalization.getOutputType(int layerIndex, InputType inputType)
InputType	PReLULayer.getOutputType(int layerIndex, InputType inputType)
InputType	PrimaryCapsules.getOutputType(int layerIndex, InputType inputType)
InputType	RecurrentAttentionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	RnnLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	RnnOutputLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SelfAttentionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SeparableConvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	SpaceToBatchLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SpaceToDepthLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Subsampling1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Subsampling3DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SubsamplingLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling1D.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling2D.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling3D.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPadding1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPadding3DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPaddingLayer.getOutputType(int layerIndex, InputType inputType)
static InputType	InputTypeUtil.getOutputTypeCnn1DLayers(InputType inputType, int kH, int sH, int padH, int dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeCnn3DLayers(InputType inputType, Convolution3D.DataFormat dataFormat, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, long outputChannels, long layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName, Class<?> layerClass)	Deprecated. Use InputTypeUtil.getOutputTypeCnnLayers(InputType, int[], int[], int[], int[], ConvolutionMode, long, long, String, CNN2DFormat, Class)
static InputType	InputTypeUtil.getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName, CNN2DFormat format, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeDeconv3dLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, Convolution3D.DataFormat dataFormat, long outputDepth, long layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeDeconvLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName, Class<?> layerClass)

Methods in org.deeplearning4j.nn.conf.layers with parameters of type InputType

Modifier and Type	Method	Description
static void	InputTypeUtil.convertMultipleTypes(InputType[] vertexInputs)	Convert multiple types when multiple are found.
LayerMemoryReport	ActivationLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	AutoEncoder.getMemoryReport(InputType inputType)
LayerMemoryReport	BaseOutputLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	BatchNormalization.getMemoryReport(InputType inputType)
LayerMemoryReport	CenterLossOutputLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	Cnn3DLossLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	CnnLossLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	ConvolutionLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	DenseLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	DropoutLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	EmbeddingLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	EmbeddingSequenceLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	GlobalPoolingLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	GravesBidirectionalLSTM.getMemoryReport(InputType inputType)	Deprecated.
LayerMemoryReport	GravesLSTM.getMemoryReport(InputType inputType)	Deprecated.
abstract LayerMemoryReport	Layer.getMemoryReport(InputType inputType)	This is a report of the estimated memory consumption for the given layer
LayerMemoryReport	LocalResponseNormalization.getMemoryReport(InputType inputType)
LayerMemoryReport	LossLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	LSTM.getMemoryReport(InputType inputType)
LayerMemoryReport	PReLULayer.getMemoryReport(InputType inputType)
LayerMemoryReport	RnnLossLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	SpaceToBatchLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	SpaceToDepthLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	Subsampling3DLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	SubsamplingLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	Upsampling1D.getMemoryReport(InputType inputType)
LayerMemoryReport	Upsampling2D.getMemoryReport(InputType inputType)
LayerMemoryReport	Upsampling3D.getMemoryReport(InputType inputType)
LayerMemoryReport	ZeroPadding1DLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	ZeroPadding3DLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	ZeroPaddingLayer.getMemoryReport(InputType inputType)
InputType	ActivationLayer.getOutputType(int layerIndex, InputType inputType)
InputType	BaseRecurrentLayer.getOutputType(int layerIndex, InputType inputType)
InputType	BatchNormalization.getOutputType(int layerIndex, InputType inputType)
InputType	CapsuleLayer.getOutputType(int layerIndex, InputType inputType)
InputType	CapsuleStrengthLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Cnn3DLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	CnnLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Convolution1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Convolution3D.getOutputType(int layerIndex, InputType inputType)
InputType	ConvolutionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Deconvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	Deconvolution3D.getOutputType(int layerIndex, InputType inputType)
InputType	DepthwiseConvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	DropoutLayer.getOutputType(int layerIndex, InputType inputType)
InputType	EmbeddingSequenceLayer.getOutputType(int layerIndex, InputType inputType)
InputType	FeedForwardLayer.getOutputType(int layerIndex, InputType inputType)
InputType	GlobalPoolingLayer.getOutputType(int layerIndex, InputType inputType)
abstract InputType	Layer.getOutputType(int layerIndex, InputType inputType)	For a given type of input to this layer, what is the type of the output?
InputType	LearnedSelfAttentionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	LocallyConnected1D.getOutputType(int layerIndex, InputType inputType)
InputType	LocallyConnected2D.getOutputType(int layerIndex, InputType inputType)
InputType	LocalResponseNormalization.getOutputType(int layerIndex, InputType inputType)
InputType	PReLULayer.getOutputType(int layerIndex, InputType inputType)
InputType	PrimaryCapsules.getOutputType(int layerIndex, InputType inputType)
InputType	RecurrentAttentionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	RnnLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	RnnOutputLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SelfAttentionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SeparableConvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	SpaceToBatchLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SpaceToDepthLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Subsampling1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Subsampling3DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SubsamplingLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling1D.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling2D.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling3D.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPadding1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPadding3DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPaddingLayer.getOutputType(int layerIndex, InputType inputType)
static InputType	InputTypeUtil.getOutputTypeCnn1DLayers(InputType inputType, int kH, int sH, int padH, int dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeCnn3DLayers(InputType inputType, Convolution3D.DataFormat dataFormat, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, long outputChannels, long layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName, Class<?> layerClass)	Deprecated. Use InputTypeUtil.getOutputTypeCnnLayers(InputType, int[], int[], int[], int[], ConvolutionMode, long, long, String, CNN2DFormat, Class)
static InputType	InputTypeUtil.getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName, CNN2DFormat format, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeDeconv3dLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, Convolution3D.DataFormat dataFormat, long outputDepth, long layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeDeconvLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName, Class<?> layerClass)
InputPreProcessor	ActivationLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	BaseRecurrentLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	BaseUpsamplingLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	BatchNormalization.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Cnn3DLossLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	CnnLossLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Convolution1DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Convolution3D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	ConvolutionLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Deconvolution3D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	DropoutLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	EmbeddingSequenceLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	FeedForwardLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	GlobalPoolingLayer.getPreProcessorForInputType(InputType inputType)
abstract InputPreProcessor	Layer.getPreProcessorForInputType(InputType inputType)	For the given type of input to this layer, what preprocessor (if any) is required? Returns null if no preprocessor is required, otherwise returns an appropriate InputPreProcessor for this layer, such as a CnnToFeedForwardPreProcessor
InputPreProcessor	LearnedSelfAttentionLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	LocallyConnected1D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	LocallyConnected2D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	LocalResponseNormalization.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	PReLULayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	RecurrentAttentionLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	RnnLossLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	RnnOutputLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	SelfAttentionLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	SpaceToBatchLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	SpaceToDepthLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Subsampling1DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Subsampling3DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	SubsamplingLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Upsampling1D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Upsampling2D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Upsampling3D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	ZeroPadding1DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	ZeroPadding3DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	ZeroPaddingLayer.getPreProcessorForInputType(InputType inputType)
static InputPreProcessor	InputTypeUtil.getPreProcessorForInputTypeCnn3DLayers(InputType inputType, String layerName)	Utility method for determining the appropriate preprocessor for CNN layers, such as ConvolutionLayer and SubsamplingLayer
static InputPreProcessor	InputTypeUtil.getPreProcessorForInputTypeCnnLayers(InputType inputType, String layerName)	Utility method for determining the appropriate preprocessor for CNN layers, such as ConvolutionLayer and SubsamplingLayer
static InputPreProcessor	InputTypeUtil.getPreprocessorForInputTypeRnnLayers(InputType inputType, RNNFormat rnnDataFormat, String layerName)
void	ActivationLayer.setNIn(InputType inputType, boolean override)
void	BaseRecurrentLayer.setNIn(InputType inputType, boolean override)
void	BatchNormalization.setNIn(InputType inputType, boolean override)
void	CapsuleLayer.setNIn(InputType inputType, boolean override)
void	Cnn3DLossLayer.setNIn(InputType inputType, boolean override)
void	CnnLossLayer.setNIn(InputType inputType, boolean override)
void	Convolution1DLayer.setNIn(InputType inputType, boolean override)
void	Convolution3D.setNIn(InputType inputType, boolean override)
void	ConvolutionLayer.setNIn(InputType inputType, boolean override)
void	Deconvolution3D.setNIn(InputType inputType, boolean override)
void	DepthwiseConvolution2D.setNIn(InputType inputType, boolean override)
void	DropoutLayer.setNIn(InputType inputType, boolean override)
void	EmbeddingSequenceLayer.setNIn(InputType inputType, boolean override)
void	FeedForwardLayer.setNIn(InputType inputType, boolean override)
void	GlobalPoolingLayer.setNIn(InputType inputType, boolean override)
abstract void	Layer.setNIn(InputType inputType, boolean override)	Set the nIn value (number of inputs, or input channels for CNNs) based on the given input type
void	LearnedSelfAttentionLayer.setNIn(InputType inputType, boolean override)
void	LocallyConnected1D.setNIn(InputType inputType, boolean override)
void	LocallyConnected2D.setNIn(InputType inputType, boolean override)
void	LocalResponseNormalization.setNIn(InputType inputType, boolean override)
void	NoParamLayer.setNIn(InputType inputType, boolean override)
void	PReLULayer.setNIn(InputType inputType, boolean override)
void	PrimaryCapsules.setNIn(InputType inputType, boolean override)
void	RecurrentAttentionLayer.setNIn(InputType inputType, boolean override)
void	RnnLossLayer.setNIn(InputType inputType, boolean override)
void	RnnOutputLayer.setNIn(InputType inputType, boolean override)
void	SelfAttentionLayer.setNIn(InputType inputType, boolean override)
void	SpaceToBatchLayer.setNIn(InputType inputType, boolean override)
void	SpaceToDepthLayer.setNIn(InputType inputType, boolean override)
void	Subsampling1DLayer.setNIn(InputType inputType, boolean override)
void	Subsampling3DLayer.setNIn(InputType inputType, boolean override)
void	SubsamplingLayer.setNIn(InputType inputType, boolean override)
void	Upsampling2D.setNIn(InputType inputType, boolean override)
void	ZeroPadding1DLayer.setNIn(InputType inputType, boolean override)
void	ZeroPadding3DLayer.setNIn(InputType inputType, boolean override)
void	ZeroPaddingLayer.setNIn(InputType inputType, boolean override)

Uses of InputType in org.deeplearning4j.nn.conf.layers.convolutional

Methods in org.deeplearning4j.nn.conf.layers.convolutional that return InputType

Modifier and Type	Method	Description
InputType	Cropping1D.getOutputType(int layerIndex, InputType inputType)
InputType	Cropping2D.getOutputType(int layerIndex, InputType inputType)
InputType	Cropping3D.getOutputType(int layerIndex, InputType inputType)

Methods in org.deeplearning4j.nn.conf.layers.convolutional with parameters of type InputType

Modifier and Type	Method	Description
LayerMemoryReport	Cropping1D.getMemoryReport(InputType inputType)
LayerMemoryReport	Cropping2D.getMemoryReport(InputType inputType)
LayerMemoryReport	Cropping3D.getMemoryReport(InputType inputType)
InputType	Cropping1D.getOutputType(int layerIndex, InputType inputType)
InputType	Cropping2D.getOutputType(int layerIndex, InputType inputType)
InputType	Cropping3D.getOutputType(int layerIndex, InputType inputType)
InputPreProcessor	Cropping1D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Cropping2D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Cropping3D.getPreProcessorForInputType(InputType inputType)
void	Cropping2D.setNIn(InputType inputType, boolean override)

Uses of InputType in org.deeplearning4j.nn.conf.layers.misc

Methods in org.deeplearning4j.nn.conf.layers.misc that return InputType

Modifier and Type	Method	Description
InputType	FrozenLayer.getOutputType(int layerIndex, InputType inputType)
InputType	RepeatVector.getOutputType(int layerIndex, InputType inputType)

Methods in org.deeplearning4j.nn.conf.layers.misc with parameters of type InputType

Modifier and Type	Method	Description
LayerMemoryReport	ElementWiseMultiplicationLayer.getMemoryReport(InputType inputType)	This is a report of the estimated memory consumption for the given layer
LayerMemoryReport	FrozenLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	RepeatVector.getMemoryReport(InputType inputType)
InputType	FrozenLayer.getOutputType(int layerIndex, InputType inputType)
InputType	RepeatVector.getOutputType(int layerIndex, InputType inputType)
InputPreProcessor	FrozenLayer.getPreProcessorForInputType(InputType inputType)
void	FrozenLayer.setNIn(InputType inputType, boolean override)

Uses of InputType in org.deeplearning4j.nn.conf.layers.objdetect

Methods in org.deeplearning4j.nn.conf.layers.objdetect that return InputType

Modifier and Type	Method	Description
InputType	Yolo2OutputLayer.getOutputType(int layerIndex, InputType inputType)

Methods in org.deeplearning4j.nn.conf.layers.objdetect with parameters of type InputType

Modifier and Type	Method	Description
LayerMemoryReport	Yolo2OutputLayer.getMemoryReport(InputType inputType)
InputType	Yolo2OutputLayer.getOutputType(int layerIndex, InputType inputType)
InputPreProcessor	Yolo2OutputLayer.getPreProcessorForInputType(InputType inputType)
void	Yolo2OutputLayer.setNIn(InputType inputType, boolean override)

Uses of InputType in org.deeplearning4j.nn.conf.layers.recurrent

Methods in org.deeplearning4j.nn.conf.layers.recurrent that return InputType

Modifier and Type	Method	Description
InputType	Bidirectional.getOutputType(int layerIndex, InputType inputType)
InputType	LastTimeStep.getOutputType(int layerIndex, InputType inputType)
InputType	TimeDistributed.getOutputType(int layerIndex, InputType inputType)

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

Modifier and Type	Method	Description
LayerMemoryReport	Bidirectional.getMemoryReport(InputType inputType)
LayerMemoryReport	SimpleRnn.getMemoryReport(InputType inputType)
InputType	Bidirectional.getOutputType(int layerIndex, InputType inputType)
InputType	LastTimeStep.getOutputType(int layerIndex, InputType inputType)
InputType	TimeDistributed.getOutputType(int layerIndex, InputType inputType)
InputPreProcessor	Bidirectional.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	TimeDistributed.getPreProcessorForInputType(InputType inputType)
void	Bidirectional.setNIn(InputType inputType, boolean override)
void	TimeDistributed.setNIn(InputType inputType, boolean override)

Uses of InputType in org.deeplearning4j.nn.conf.layers.samediff

Methods in org.deeplearning4j.nn.conf.layers.samediff that return InputType

Modifier and Type	Method	Description
InputType	SameDiffLambdaLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SameDiffVertex.getOutputType(int layerIndex, InputType... vertexInputs)

Methods in org.deeplearning4j.nn.conf.layers.samediff with parameters of type InputType

Modifier and Type	Method	Description
LayerMemoryReport	AbstractSameDiffLayer.getMemoryReport(InputType inputType)
MemoryReport	SameDiffVertex.getMemoryReport(InputType... inputTypes)
InputType	SameDiffLambdaLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SameDiffVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputPreProcessor	AbstractSameDiffLayer.getPreProcessorForInputType(InputType inputType)
void	AbstractSameDiffLayer.setNIn(InputType inputType, boolean override)

Uses of InputType in org.deeplearning4j.nn.conf.layers.util

Methods in org.deeplearning4j.nn.conf.layers.util that return InputType

Modifier and Type	Method	Description
InputType	MaskLayer.getOutputType(int layerIndex, InputType inputType)
InputType	MaskZeroLayer.getOutputType(int layerIndex, InputType inputType)

Methods in org.deeplearning4j.nn.conf.layers.util with parameters of type InputType

Modifier and Type	Method	Description
LayerMemoryReport	MaskLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	MaskZeroLayer.getMemoryReport(InputType inputType)
InputType	MaskLayer.getOutputType(int layerIndex, InputType inputType)
InputType	MaskZeroLayer.getOutputType(int layerIndex, InputType inputType)
InputPreProcessor	MaskLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	MaskZeroLayer.getPreProcessorForInputType(InputType inputType)
void	MaskLayer.setNIn(InputType inputType, boolean override)
void	MaskZeroLayer.setNIn(InputType inputType, boolean override)

Uses of InputType in org.deeplearning4j.nn.conf.layers.variational

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

Modifier and Type	Method	Description
LayerMemoryReport	VariationalAutoencoder.getMemoryReport(InputType inputType)

Uses of InputType in org.deeplearning4j.nn.conf.layers.wrapper

Methods in org.deeplearning4j.nn.conf.layers.wrapper that return InputType

Modifier and Type	Method	Description
InputType	BaseWrapperLayer.getOutputType(int layerIndex, InputType inputType)

Methods in org.deeplearning4j.nn.conf.layers.wrapper with parameters of type InputType

Modifier and Type	Method	Description
LayerMemoryReport	BaseWrapperLayer.getMemoryReport(InputType inputType)
InputType	BaseWrapperLayer.getOutputType(int layerIndex, InputType inputType)
InputPreProcessor	BaseWrapperLayer.getPreProcessorForInputType(InputType inputType)
void	BaseWrapperLayer.setNIn(InputType inputType, boolean override)

Uses of InputType in org.deeplearning4j.nn.conf.memory

Constructors in org.deeplearning4j.nn.conf.memory with parameters of type InputType

Constructor	Description
Builder(String layerName, Class<?> layerType, InputType inputType, InputType outputType)
NetworkMemoryReport(@NonNull Map<String,MemoryReport> layerAndVertexReports, @NonNull Class<?> modelClass, String modelName, @NonNull InputType... networkInputTypes)

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

Methods in org.deeplearning4j.nn.conf.preprocessor that return InputType

Modifier and Type	Method	Description
InputType	Cnn3DToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	CnnToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	CnnToRnnPreProcessor.getOutputType(InputType inputType)
InputType	ComposableInputPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToCnn3DPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToCnnPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToRnnPreProcessor.getOutputType(InputType inputType)
InputType	RnnToCnnPreProcessor.getOutputType(InputType inputType)
InputType	RnnToFeedForwardPreProcessor.getOutputType(InputType inputType)

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

Modifier and Type	Method	Description
InputType	Cnn3DToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	CnnToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	CnnToRnnPreProcessor.getOutputType(InputType inputType)
InputType	ComposableInputPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToCnn3DPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToCnnPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToRnnPreProcessor.getOutputType(InputType inputType)
InputType	RnnToCnnPreProcessor.getOutputType(InputType inputType)
InputType	RnnToFeedForwardPreProcessor.getOutputType(InputType inputType)

Uses of InputType in org.deeplearning4j.nn.graph

Methods in org.deeplearning4j.nn.graph with parameters of type InputType

Modifier and Type	Method	Description
String	ComputationGraph.memoryInfo(int minibatch, InputType... inputTypes)	Generate information regarding memory use for the network, for the given input types and minibatch size.
String	ComputationGraph.summary(InputType... inputTypes)	String detailing the architecture of the computation graph.

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

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

Modifier and Type	Method	Description
static LayerMemoryReport	LSTMHelpers.getMemoryReport(boolean isGraves, FeedForwardLayer lstmLayer, InputType inputType)
static LayerMemoryReport	LSTMHelpers.getMemoryReport(AbstractLSTM lstmLayer, InputType inputType)
static LayerMemoryReport	LSTMHelpers.getMemoryReport(GravesBidirectionalLSTM lstmLayer, InputType inputType)

Uses of InputType in org.deeplearning4j.nn.layers.util

Methods in org.deeplearning4j.nn.layers.util that return InputType

Modifier and Type	Method	Description
InputType	IdentityLayer.getOutputType(int layerIndex, InputType inputType)

Methods in org.deeplearning4j.nn.layers.util with parameters of type InputType

Modifier and Type	Method	Description
InputType	IdentityLayer.getOutputType(int layerIndex, InputType inputType)

Uses of InputType in org.deeplearning4j.nn.multilayer

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

Modifier and Type	Method	Description
String	MultiLayerNetwork.memoryInfo(int minibatch, InputType inputType)	Generate information regarding memory use for the network, for the given input type and minibatch size.
String	MultiLayerNetwork.summary(InputType inputType)	String detailing the architecture of the multilayernetwork.

Uses of InputType in org.deeplearning4j.nn.transferlearning

Methods in org.deeplearning4j.nn.transferlearning with parameters of type InputType

Modifier and Type	Method	Description
TransferLearning.GraphBuilder	TransferLearning.GraphBuilder.setInputTypes(InputType... inputTypes)	Sets the input type of corresponding inputs.

Uses of InputType in org.deeplearning4j.preprocessors

Methods in org.deeplearning4j.preprocessors that return InputType

Modifier and Type	Method	Description
InputType	KerasFlattenRnnPreprocessor.getOutputType(InputType inputType)
InputType	PermutePreprocessor.getOutputType(InputType inputType)
InputType	ReshapePreprocessor.getOutputType(InputType inputType)

Methods in org.deeplearning4j.preprocessors with parameters of type InputType

Modifier and Type	Method	Description
InputType	KerasFlattenRnnPreprocessor.getOutputType(InputType inputType)
InputType	PermutePreprocessor.getOutputType(InputType inputType)
InputType	ReshapePreprocessor.getOutputType(InputType inputType)

Uses of InputType in org.deeplearning4j.util

Methods in org.deeplearning4j.util with parameters of type InputType

Modifier and Type	Method	Description
static String	CrashReportingUtil.generateMemoryStatus(Model net, int minibatch, InputType... inputTypes)	Generate memory/system report as a String, for the specified network.
static int[]	ConvolutionUtils.getHWDFromInputType(InputType inputType)	Get heigh/width/channels as length 3 int[] from the InputType