| Modifier and Type | Field and Description |
|---|---|
protected ParameterSpace<InputType> |
MultiLayerSpace.inputType |
protected ParameterSpace<InputType> |
MultiLayerSpace.Builder.inputType |
| Modifier and Type | Method and Description |
|---|---|
MultiLayerSpace.Builder |
MultiLayerSpace.Builder.setInputType(InputType inputType) |
ComputationGraphSpace.Builder |
ComputationGraphSpace.Builder.setInputTypes(InputType... inputTypes) |
| Modifier and Type | Method and Description |
|---|---|
MultiLayerSpace.Builder |
MultiLayerSpace.Builder.setInputType(ParameterSpace<InputType> inputType) |
| Modifier and Type | Field and Description |
|---|---|
protected InputType |
MultiLayerConfiguration.Builder.inputType |
| Modifier and Type | Field and Description |
|---|---|
protected List<InputType> |
ComputationGraphConfiguration.GraphBuilder.networkInputTypes |
| 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?
|
| Modifier and Type | Method and Description |
|---|---|
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.
|
List<InputType> |
NeuralNetConfiguration.ListBuilder.getLayerActivationTypes()
For the (perhaps partially constructed) network configuration, return a list of activation sizes for each
layer in 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(@NonNull InputType inputType)
For the given input shape/type for the network, return a list of activation sizes for each layer in the network.
|
| 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(@NonNull InputType inputType)
For the given input shape/type for the network, return a list of activation sizes for each layer in the network.
|
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(). |
| Modifier and Type | Method and 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) |
| Modifier and Type | Method and 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) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
DuplicateToTimeSeriesVertex.getOutputType(int layerIndex,
InputType... vertexInputs) |
InputType |
LastTimeStepVertex.getOutputType(int layerIndex,
InputType... vertexInputs) |
InputType |
ReverseTimeSeriesVertex.getOutputType(int layerIndex,
InputType... vertexInputs) |
| Modifier and Type | Method and 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) |
| 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 |
| Modifier and Type | Method and 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(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.convolutional3D(long depth,
long height,
long width,
long channels)
|
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) |
| Modifier and Type | Method and 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)
|
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) |
| Modifier and Type | Method and Description |
|---|---|
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)
|
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?
|
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) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
Cropping1D.getOutputType(int layerIndex,
InputType inputType) |
InputType |
Cropping2D.getOutputType(int layerIndex,
InputType inputType) |
InputType |
Cropping3D.getOutputType(int layerIndex,
InputType inputType) |
| Modifier and Type | Method and 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) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
FrozenLayer.getOutputType(int layerIndex,
InputType inputType) |
InputType |
RepeatVector.getOutputType(int layerIndex,
InputType inputType) |
| Modifier and Type | Method and 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) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
Yolo2OutputLayer.getOutputType(int layerIndex,
InputType 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) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
Bidirectional.getOutputType(int layerIndex,
InputType inputType) |
InputType |
LastTimeStep.getOutputType(int layerIndex,
InputType inputType) |
InputType |
TimeDistributed.getOutputType(int layerIndex,
InputType inputType) |
| Modifier and Type | Method and 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) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
SameDiffVertex.getOutputType(int layerIndex,
InputType... vertexInputs) |
InputType |
SameDiffLambdaLayer.getOutputType(int layerIndex,
InputType inputType) |
| Modifier and Type | Method and Description |
|---|---|
MemoryReport |
SameDiffVertex.getMemoryReport(InputType... inputTypes) |
LayerMemoryReport |
AbstractSameDiffLayer.getMemoryReport(InputType inputType) |
InputType |
SameDiffVertex.getOutputType(int layerIndex,
InputType... vertexInputs) |
InputType |
SameDiffLambdaLayer.getOutputType(int layerIndex,
InputType inputType) |
InputPreProcessor |
AbstractSameDiffLayer.getPreProcessorForInputType(InputType inputType) |
void |
AbstractSameDiffLayer.setNIn(InputType inputType,
boolean override) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
MaskLayer.getOutputType(int layerIndex,
InputType inputType) |
InputType |
MaskZeroLayer.getOutputType(int layerIndex,
InputType 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) |
| Modifier and Type | Method and Description |
|---|---|
LayerMemoryReport |
VariationalAutoencoder.getMemoryReport(InputType inputType) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
BaseWrapperLayer.getOutputType(int layerIndex,
InputType 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) |
| Constructor and Description |
|---|
Builder(String layerName,
Class<?> layerType,
InputType inputType,
InputType outputType) |
NetworkMemoryReport(@NonNull Map<String,MemoryReport> layerAndVertexReports,
@NonNull Class<?> modelClass,
String modelName,
InputType... networkInputTypes) |
| Modifier and Type | Method and 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) |
| Modifier and Type | Method and 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) |
| Modifier and Type | Method and 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.
|
| 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) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
IdentityLayer.getOutputType(int layerIndex,
InputType inputType) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
IdentityLayer.getOutputType(int layerIndex,
InputType inputType) |
| Modifier and Type | Field and Description |
|---|---|
protected Map<String,InputType> |
KerasModel.outputTypes |
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasLayer.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputPreProcessor |
KerasLayer.getInputPreprocessor(InputType... inputType)
Gets appropriate DL4J InputPreProcessor for given InputTypes.
|
InputType |
KerasLayer.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasInput.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasLoss.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasTFOpLayer.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
TFOpLayer.getOutputType(int idx,
InputType inputType) |
| Modifier and Type | Method and Description |
|---|---|
FeedForwardLayer |
KerasLoss.getLossLayer(InputType type)
Get DL4J LossLayer.
|
LayerMemoryReport |
TFOpLayer.getMemoryReport(InputType inputType) |
InputType |
KerasInput.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasLoss.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasTFOpLayer.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
TFOpLayer.getOutputType(int idx,
InputType inputType) |
InputPreProcessor |
TFOpLayer.getPreProcessorForInputType(InputType inputType) |
void |
TFOpLayer.setNIn(InputType inputType,
boolean override) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasELU.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasLeakyReLU.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPReLU.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasReLU.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSoftmax.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasThresholdedReLU.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasELU.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasLeakyReLU.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPReLU.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasReLU.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSoftmax.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasThresholdedReLU.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasAtrousConvolution1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasAtrousConvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasConvolution1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasConvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasConvolution3D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasCropping1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasCropping2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasCropping3D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasDeconvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasDepthwiseConvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSeparableConvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSpaceToDepth.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasUpsampling1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasUpsampling2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasUpsampling3D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasZeroPadding1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasZeroPadding2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasZeroPadding3D.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputPreProcessor |
KerasConvolution1D.getInputPreprocessor(InputType... inputType)
Gets appropriate DL4J InputPreProcessor for given InputTypes.
|
InputType |
KerasAtrousConvolution1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasAtrousConvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasConvolution1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasConvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasConvolution3D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasCropping1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasCropping2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasCropping3D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasDeconvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasDepthwiseConvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSeparableConvolution2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSpaceToDepth.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasUpsampling1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasUpsampling2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasUpsampling3D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasZeroPadding1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasZeroPadding2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasZeroPadding3D.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasActivation.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasDense.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasDropout.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasFlatten.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasLambda.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasMasking.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasMerge.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPermute.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasRepeatVector.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasReshape.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSpatialDropout.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputPreProcessor |
KerasFlatten.getInputPreprocessor(InputType... inputType)
Gets appropriate DL4J InputPreProcessor for given InputTypes.
|
InputPreProcessor |
KerasPermute.getInputPreprocessor(InputType... inputType)
Gets appropriate DL4J InputPreProcessor for given InputTypes.
|
InputPreProcessor |
KerasReshape.getInputPreprocessor(InputType... inputType)
Gets appropriate DL4J InputPreProcessor for given InputTypes.
|
InputType |
KerasActivation.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasDense.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasDropout.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasFlatten.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasLambda.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasMasking.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasMerge.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPermute.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasRepeatVector.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasReshape.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSpatialDropout.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasLRN.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPoolHelper.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasLRN.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPoolHelper.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasEmbedding.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasEmbedding.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasLocallyConnected1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasLocallyConnected2D.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasLocallyConnected1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasLocallyConnected2D.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasAlphaDropout.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasGaussianDropout.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasGaussianNoise.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasAlphaDropout.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasGaussianDropout.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasGaussianNoise.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasBatchNormalization.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasBatchNormalization.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasGlobalPooling.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPooling1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPooling2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPooling3D.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputPreProcessor |
KerasGlobalPooling.getInputPreprocessor(InputType... inputType)
Gets appropriate DL4J InputPreProcessor for given InputTypes.
|
InputType |
KerasGlobalPooling.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPooling1D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPooling2D.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasPooling3D.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasLSTM.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSimpleRnn.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputPreProcessor |
KerasLSTM.getInputPreprocessor(InputType... inputType)
Gets appropriate DL4J InputPreProcessor for given InputTypes.
|
InputPreProcessor |
KerasSimpleRnn.getInputPreprocessor(InputType... inputType)
Gets appropriate DL4J InputPreProcessor for given InputTypes.
|
InputType |
KerasLSTM.getOutputType(InputType... inputType)
Get layer output type.
|
InputType |
KerasSimpleRnn.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasBidirectional.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputPreProcessor |
KerasBidirectional.getInputPreprocessor(InputType... inputType)
Gets appropriate DL4J InputPreProcessor for given InputTypes.
|
InputType |
KerasBidirectional.getOutputType(InputType... inputType)
Get layer output type.
|
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasFlattenRnnPreprocessor.getOutputType(InputType inputType) |
InputType |
PermutePreprocessor.getOutputType(InputType inputType) |
InputType |
ReshapePreprocessor.getOutputType(InputType inputType) |
| Modifier and Type | Method and Description |
|---|---|
InputType |
KerasFlattenRnnPreprocessor.getOutputType(InputType inputType) |
InputType |
PermutePreprocessor.getOutputType(InputType inputType) |
InputType |
ReshapePreprocessor.getOutputType(InputType inputType) |
| Modifier and Type | Method and 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.
|
| Modifier and Type | Method and Description |
|---|---|
TransferLearning.GraphBuilder |
TransferLearning.GraphBuilder.setInputTypes(InputType... inputTypes)
Sets the input type of corresponding inputs.
|
| Modifier and Type | Method and 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
|
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