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.multilayer
org.deeplearning4j.nn.transferlearning
org.deeplearning4j.util

Uses of InputType in org.deeplearning4j.nn.conf

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

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

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

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

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

Modifier and Type	Method and 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 and Description
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
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
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(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

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

Modifier and Type	Method and Description
void	ComputationGraphConfiguration.addPreProcessors(InputType... inputTypes) Add preprocessors automatically, given the specified types of inputs for the network.
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(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 and Description
InputType	SubsetVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ElementWiseVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ReshapeVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	FrozenVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	L2Vertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ShiftVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	LayerVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	MergeVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	PreprocessorVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	L2NormalizeVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	ScaleVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	PoolHelperVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	UnstackVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	StackVertex.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.

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

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

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

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

Modifier and Type	Method and Description
MemoryReport	ReverseTimeSeriesVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	DuplicateToTimeSeriesVertex.getMemoryReport(InputType... inputTypes)
MemoryReport	LastTimeStepVertex.getMemoryReport(InputType... inputTypes)
InputType	ReverseTimeSeriesVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	DuplicateToTimeSeriesVertex.getOutputType(int layerIndex, InputType... vertexInputs)
InputType	LastTimeStepVertex.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 and 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 and Description
static InputType	InputType.convolutional(int height, int width, int depth) Input type for convolutional (CNN) data, that is 4d with shape [miniBatchSize, channels, height, width].
static InputType	InputType.convolutional3D(int depth, int height, int width, int channels) Input type for 3D convolutional (CNN3D) data, that is 5d with shape [miniBatchSize, channels, height, width, channels].
static InputType	InputType.convolutionalFlat(int height, int width, int depth) Input type for convolutional (CNN) data, where the data is in flattened (row vector) format.
static InputType	InputType.feedForward(int size) InputType for feed forward network data
InputType	InputType.InputTypeConvolutionalFlat.getUnflattenedType()
static InputType	InputType.inferInputType(org.nd4j.linalg.api.ndarray.INDArray inputArray)
static InputType[]	InputType.inferInputTypes(org.nd4j.linalg.api.ndarray.INDArray... inputArrays)
static InputType	InputType.recurrent(int size) InputType for recurrent neural network (time series) data
static InputType	InputType.recurrent(int size, int timeSeriesLength) InputType for recurrent neural network (time series) data

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

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

Modifier and Type	Method and Description
InputType	SeparableConvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPadding3DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling1D.getOutputType(int layerIndex, InputType inputType)
InputType	FeedForwardLayer.getOutputType(int layerIndex, InputType inputType)
InputType	CnnLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling3D.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPaddingLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Subsampling1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Subsampling3DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	DropoutLayer.getOutputType(int layerIndex, InputType inputType)
InputType	BaseRecurrentLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SpaceToBatchLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Convolution3D.getOutputType(int layerIndex, InputType inputType)
InputType	ConvolutionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPadding1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	RnnOutputLayer.getOutputType(int layerIndex, InputType inputType)
InputType	ActivationLayer.getOutputType(int layerIndex, InputType inputType)
InputType	BatchNormalization.getOutputType(int layerIndex, InputType inputType)
InputType	GlobalPoolingLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Convolution1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Deconvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	LocalResponseNormalization.getOutputType(int layerIndex, InputType inputType)
InputType	SubsamplingLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling2D.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	RnnLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	DepthwiseConvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	EmbeddingSequenceLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SpaceToDepthLayer.getOutputType(int layerIndex, InputType inputType)
static InputType	InputTypeUtil.getOutputTypeCnn3DLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, int outputChannels, int layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, int outputDepth, int layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeDeconvLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, int outputDepth, int layerIdx, String layerName, Class<?> layerClass)

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

Modifier and Type	Method and Description
LayerMemoryReport	AutoEncoder.getMemoryReport(InputType inputType)
LayerMemoryReport	ZeroPadding3DLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	Upsampling1D.getMemoryReport(InputType inputType)
LayerMemoryReport	LSTM.getMemoryReport(InputType inputType)
LayerMemoryReport	CnnLossLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	Upsampling3D.getMemoryReport(InputType inputType)
LayerMemoryReport	ZeroPaddingLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	Subsampling3DLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	BaseOutputLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	DenseLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	DropoutLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	SpaceToBatchLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	CenterLossOutputLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	GravesLSTM.getMemoryReport(InputType inputType)
LayerMemoryReport	ConvolutionLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	GravesBidirectionalLSTM.getMemoryReport(InputType inputType) Deprecated.
LayerMemoryReport	ZeroPadding1DLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	EmbeddingLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	ActivationLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	BatchNormalization.getMemoryReport(InputType inputType)
LayerMemoryReport	GlobalPoolingLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	LossLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	LocalResponseNormalization.getMemoryReport(InputType inputType)
LayerMemoryReport	SubsamplingLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	Upsampling2D.getMemoryReport(InputType inputType)
abstract LayerMemoryReport	Layer.getMemoryReport(InputType inputType) This is a report of the estimated memory consumption for the given layer
LayerMemoryReport	RnnLossLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	EmbeddingSequenceLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	SpaceToDepthLayer.getMemoryReport(InputType inputType)
InputType	SeparableConvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPadding3DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling1D.getOutputType(int layerIndex, InputType inputType)
InputType	FeedForwardLayer.getOutputType(int layerIndex, InputType inputType)
InputType	CnnLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling3D.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPaddingLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Subsampling1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Subsampling3DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	DropoutLayer.getOutputType(int layerIndex, InputType inputType)
InputType	BaseRecurrentLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SpaceToBatchLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Convolution3D.getOutputType(int layerIndex, InputType inputType)
InputType	ConvolutionLayer.getOutputType(int layerIndex, InputType inputType)
InputType	ZeroPadding1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	RnnOutputLayer.getOutputType(int layerIndex, InputType inputType)
InputType	ActivationLayer.getOutputType(int layerIndex, InputType inputType)
InputType	BatchNormalization.getOutputType(int layerIndex, InputType inputType)
InputType	GlobalPoolingLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Convolution1DLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Deconvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	LocalResponseNormalization.getOutputType(int layerIndex, InputType inputType)
InputType	SubsamplingLayer.getOutputType(int layerIndex, InputType inputType)
InputType	Upsampling2D.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	RnnLossLayer.getOutputType(int layerIndex, InputType inputType)
InputType	DepthwiseConvolution2D.getOutputType(int layerIndex, InputType inputType)
InputType	EmbeddingSequenceLayer.getOutputType(int layerIndex, InputType inputType)
InputType	SpaceToDepthLayer.getOutputType(int layerIndex, InputType inputType)
static InputType	InputTypeUtil.getOutputTypeCnn3DLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, int outputChannels, int layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, int outputDepth, int layerIdx, String layerName, Class<?> layerClass)
static InputType	InputTypeUtil.getOutputTypeDeconvLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode, int outputDepth, int layerIdx, String layerName, Class<?> layerClass)
InputPreProcessor	ZeroPadding3DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Upsampling1D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	FeedForwardLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	CnnLossLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Upsampling3D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	ZeroPaddingLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Subsampling1DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Subsampling3DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	DropoutLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	BaseRecurrentLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	SpaceToBatchLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Convolution3D.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	ConvolutionLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	ZeroPadding1DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	RnnOutputLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	ActivationLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	BatchNormalization.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	GlobalPoolingLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Convolution1DLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	LocalResponseNormalization.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	SubsamplingLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	BaseUpsamplingLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	Upsampling2D.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	RnnLossLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	SpaceToDepthLayer.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, String layerName)
void	ZeroPadding3DLayer.setNIn(InputType inputType, boolean override)
void	FeedForwardLayer.setNIn(InputType inputType, boolean override)
void	CnnLossLayer.setNIn(InputType inputType, boolean override)
void	Subsampling1DLayer.setNIn(InputType inputType, boolean override)
void	Subsampling3DLayer.setNIn(InputType inputType, boolean override)
void	NoParamLayer.setNIn(InputType inputType, boolean override)
void	DropoutLayer.setNIn(InputType inputType, boolean override)
void	BaseRecurrentLayer.setNIn(InputType inputType, boolean override)
void	SpaceToBatchLayer.setNIn(InputType inputType, boolean override)
void	Convolution3D.setNIn(InputType inputType, boolean override)
void	ConvolutionLayer.setNIn(InputType inputType, boolean override)
void	ZeroPadding1DLayer.setNIn(InputType inputType, boolean override)
void	RnnOutputLayer.setNIn(InputType inputType, boolean override)
void	ActivationLayer.setNIn(InputType inputType, boolean override)
void	BatchNormalization.setNIn(InputType inputType, boolean override)
void	GlobalPoolingLayer.setNIn(InputType inputType, boolean override)
void	Convolution1DLayer.setNIn(InputType inputType, boolean override)
void	LocalResponseNormalization.setNIn(InputType inputType, boolean override)
void	SubsamplingLayer.setNIn(InputType inputType, boolean override)
void	BaseUpsamplingLayer.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	RnnLossLayer.setNIn(InputType inputType, boolean override)
void	SpaceToDepthLayer.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 and Description
InputType	Cropping3D.getOutputType(int layerIndex, InputType inputType)
InputType	Cropping1D.getOutputType(int layerIndex, InputType inputType)
InputType	Cropping2D.getOutputType(int layerIndex, InputType inputType)

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

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

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 and Description
InputType	FrozenLayer.getOutputType(int layerIndex, InputType inputType)

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

Modifier and Type	Method and Description
LayerMemoryReport	FrozenLayer.getMemoryReport(InputType inputType)
LayerMemoryReport	ElementWiseMultiplicationLayer.getMemoryReport(InputType inputType) This is a report of the estimated memory consumption for the given layer
InputType	FrozenLayer.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 and 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 and 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 and Description
InputType	LastTimeStep.getOutputType(int layerIndex, InputType inputType)
InputType	Bidirectional.getOutputType(int layerIndex, InputType inputType)

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

Modifier and Type	Method and Description
LayerMemoryReport	Bidirectional.getMemoryReport(InputType inputType)
LayerMemoryReport	SimpleRnn.getMemoryReport(InputType inputType)
InputType	LastTimeStep.getOutputType(int layerIndex, InputType inputType)
InputType	Bidirectional.getOutputType(int layerIndex, InputType inputType)
InputPreProcessor	Bidirectional.getPreProcessorForInputType(InputType inputType)
void	Bidirectional.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 and Description
abstract InputType	AbstractSameDiffLayer.getOutputType(int layerIndex, InputType inputType)

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

Modifier and Type	Method and Description
LayerMemoryReport	AbstractSameDiffLayer.getMemoryReport(InputType inputType)
abstract InputType	AbstractSameDiffLayer.getOutputType(int layerIndex, InputType inputType)
abstract InputPreProcessor	AbstractSameDiffLayer.getPreProcessorForInputType(InputType inputType)
InputPreProcessor	BaseSameDiffLayer.getPreProcessorForInputType(InputType inputType)
abstract void	AbstractSameDiffLayer.setNIn(InputType inputType, boolean override)
void	BaseSameDiffLayer.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 and 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 and 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 and 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 and 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 and 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 and Description
Builder(String layerName, Class<?> layerType, InputType inputType, InputType outputType)
NetworkMemoryReport(Map<String,MemoryReport> layerAndVertexReports, Class<?> modelClass, String modelName, 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 and Description
InputType	FeedForwardToCnnPreProcessor.getOutputType(InputType inputType)
InputType	RnnToCnnPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToCnn3DPreProcessor.getOutputType(InputType inputType)
InputType	CnnToRnnPreProcessor.getOutputType(InputType inputType)
InputType	ComposableInputPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToRnnPreProcessor.getOutputType(InputType inputType)
InputType	BinomialSamplingPreProcessor.getOutputType(InputType inputType)
InputType	ZeroMeanPrePreProcessor.getOutputType(InputType inputType)
InputType	RnnToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	CnnToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	UnitVarianceProcessor.getOutputType(InputType inputType)
InputType	Cnn3DToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	ZeroMeanAndUnitVariancePreProcessor.getOutputType(InputType inputType)

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

Modifier and Type	Method and Description
InputType	FeedForwardToCnnPreProcessor.getOutputType(InputType inputType)
InputType	RnnToCnnPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToCnn3DPreProcessor.getOutputType(InputType inputType)
InputType	CnnToRnnPreProcessor.getOutputType(InputType inputType)
InputType	ComposableInputPreProcessor.getOutputType(InputType inputType)
InputType	FeedForwardToRnnPreProcessor.getOutputType(InputType inputType)
InputType	BinomialSamplingPreProcessor.getOutputType(InputType inputType)
InputType	ZeroMeanPrePreProcessor.getOutputType(InputType inputType)
InputType	RnnToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	CnnToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	UnitVarianceProcessor.getOutputType(InputType inputType)
InputType	Cnn3DToFeedForwardPreProcessor.getOutputType(InputType inputType)
InputType	ZeroMeanAndUnitVariancePreProcessor.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 and Description
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 and Description
static LayerMemoryReport	LSTMHelpers.getMemoryReport(AbstractLSTM lstmLayer, InputType inputType)
static LayerMemoryReport	LSTMHelpers.getMemoryReport(boolean isGraves, FeedForwardLayer lstmLayer, InputType inputType)
static LayerMemoryReport	LSTMHelpers.getMemoryReport(GravesBidirectionalLSTM lstmLayer, 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 and Description
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 and Description
TransferLearning.GraphBuilder	TransferLearning.GraphBuilder.setInputTypes(InputType... inputTypes) Sets the input type of corresponding inputs.

Uses of InputType in org.deeplearning4j.util

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

Modifier and Type	Method and Description
static int[]	ConvolutionUtils.getHWDFromInputType(InputType inputType) Get heigh/width/channels as length 3 int[] from the InputType