Uses of Class
org.deeplearning4j.nn.conf.ConvolutionMode

Packages that use ConvolutionMode

Package	Description
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.layers.convolution
org.deeplearning4j.nn.layers.convolution.subsampling
org.deeplearning4j.nn.layers.mkldnn
org.deeplearning4j.nn.transferlearning
org.deeplearning4j.util

Uses of ConvolutionMode in org.deeplearning4j.nn.conf

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

Modifier and Type	Field and Description
protected ConvolutionMode	NeuralNetConfiguration.Builder.convolutionMode

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

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

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

Modifier and Type	Method and Description
NeuralNetConfiguration.Builder	NeuralNetConfiguration.Builder.convolutionMode(ConvolutionMode convolutionMode) Sets the convolution mode for convolutional layers, which impacts padding and output sizes.

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

Fields in org.deeplearning4j.nn.conf.layers declared as ConvolutionMode

Modifier and Type	Field and Description
protected ConvolutionMode	ConvolutionLayer.convolutionMode
protected ConvolutionMode	ConvolutionLayer.BaseConvBuilder.convolutionMode Set the convolution mode for the Convolution layer.
protected ConvolutionMode	Subsampling3DLayer.convolutionMode
protected ConvolutionMode	Subsampling3DLayer.BaseSubsamplingBuilder.convolutionMode Set the convolution mode for the Convolution layer.
protected ConvolutionMode	SubsamplingLayer.convolutionMode
protected ConvolutionMode	SubsamplingLayer.BaseSubsamplingBuilder.convolutionMode Set the convolution mode for the Convolution layer.

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

Modifier and Type	Method and Description
Convolution3D.Builder	Convolution3D.Builder.convolutionMode(ConvolutionMode mode)
T	ConvolutionLayer.BaseConvBuilder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
Deconvolution2D.Builder	Deconvolution2D.Builder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
Deconvolution3D.Builder	Deconvolution3D.Builder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
LocallyConnected1D.Builder	LocallyConnected1D.Builder.convolutionMode(ConvolutionMode cm)
LocallyConnected2D.Builder	LocallyConnected2D.Builder.convolutionMode(ConvolutionMode cm)
PrimaryCapsules.Builder	PrimaryCapsules.Builder.convolutionMode(ConvolutionMode convolutionMode) The convolution mode to use in the 2d convolution
T	Subsampling3DLayer.BaseSubsamplingBuilder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
T	SubsamplingLayer.BaseSubsamplingBuilder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
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)
protected void	ConvolutionLayer.BaseConvBuilder.setConvolutionMode(ConvolutionMode convolutionMode)
protected void	Subsampling3DLayer.BaseSubsamplingBuilder.setConvolutionMode(ConvolutionMode convolutionMode)
void	SubsamplingLayer.BaseSubsamplingBuilder.setConvolutionMode(ConvolutionMode convolutionMode)

Constructors in org.deeplearning4j.nn.conf.layers with parameters of type ConvolutionMode

Constructor and Description
Builder(int capsuleDimensions, int channels, int[] kernelSize, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode)

Uses of ConvolutionMode in org.deeplearning4j.nn.layers.convolution

Fields in org.deeplearning4j.nn.layers.convolution declared as ConvolutionMode

Modifier and Type	Field and Description
protected ConvolutionMode	ConvolutionLayer.convolutionMode

Methods in org.deeplearning4j.nn.layers.convolution with parameters of type ConvolutionMode

Modifier and Type	Method and Description
Pair<Gradient,INDArray>	ConvolutionHelper.backpropGradient(INDArray input, INDArray weights, INDArray bias, INDArray delta, int[] kernel, int[] strides, int[] pad, INDArray biasGradView, INDArray weightGradView, IActivation afn, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.BwdFilterAlgo bwdFilterAlgo, ConvolutionLayer.BwdDataAlgo bwdDataAlgo, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)
INDArray	ConvolutionHelper.preOutput(INDArray input, INDArray weights, INDArray bias, int[] kernel, int[] strides, int[] pad, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.FwdAlgo fwdAlgo, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)

Uses of ConvolutionMode in org.deeplearning4j.nn.layers.convolution.subsampling

Fields in org.deeplearning4j.nn.layers.convolution.subsampling declared as ConvolutionMode

Modifier and Type	Field and Description
protected ConvolutionMode	Subsampling3DLayer.convolutionMode
protected ConvolutionMode	SubsamplingLayer.convolutionMode

Methods in org.deeplearning4j.nn.layers.convolution.subsampling with parameters of type ConvolutionMode

Modifier and Type	Method and Description
INDArray	SubsamplingHelper.activate(INDArray input, boolean training, int[] kernel, int[] strides, int[] pad, PoolingType poolingType, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)
Pair<Gradient,INDArray>	SubsamplingHelper.backpropGradient(INDArray input, INDArray epsilon, int[] kernel, int[] strides, int[] pad, PoolingType poolingType, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)

Uses of ConvolutionMode in org.deeplearning4j.nn.layers.mkldnn

Methods in org.deeplearning4j.nn.layers.mkldnn with parameters of type ConvolutionMode

Modifier and Type	Method and Description
INDArray	MKLDNNSubsamplingHelper.activate(INDArray input, boolean training, int[] kernel, int[] strides, int[] pad, PoolingType poolingType, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)
Pair<Gradient,INDArray>	MKLDNNConvHelper.backpropGradient(INDArray input, INDArray weights, INDArray bias, INDArray delta, int[] kernel, int[] strides, int[] pad, INDArray biasGradView, INDArray weightGradView, IActivation afn, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.BwdFilterAlgo bwdFilterAlgo, ConvolutionLayer.BwdDataAlgo bwdDataAlgo, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)
Pair<Gradient,INDArray>	MKLDNNSubsamplingHelper.backpropGradient(INDArray input, INDArray epsilon, int[] kernel, int[] strides, int[] pad, PoolingType poolingType, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)
INDArray	MKLDNNConvHelper.preOutput(INDArray input, INDArray weights, INDArray bias, int[] kernel, int[] strides, int[] pad, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.FwdAlgo fwdAlgo, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)

Uses of ConvolutionMode in org.deeplearning4j.nn.transferlearning

Fields in org.deeplearning4j.nn.transferlearning declared as ConvolutionMode

Modifier and Type	Field and Description
protected ConvolutionMode	FineTuneConfiguration.convolutionMode

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

Modifier and Type	Method and Description
FineTuneConfiguration.Builder	FineTuneConfiguration.Builder.convolutionMode(ConvolutionMode convolutionMode) Sets the convolution mode for convolutional layers, which impacts padding and output sizes.

Uses of ConvolutionMode in org.deeplearning4j.util

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

Modifier and Type	Method and Description
static INDArray	ConvolutionUtils.cnn1dMaskReduction(INDArray in, int kernel, int stride, int padding, int dilation, ConvolutionMode cm) Given a mask array for a 1D CNN layer of shape [minibatch, sequenceLength], reduce the mask according to the 1D CNN layer configuration.
static INDArray	ConvolutionUtils.cnn2dMaskReduction(INDArray inMask, int[] kernel, int[] stride, int[] padding, int[] dilation, ConvolutionMode convolutionMode) Reduce a 2d CNN layer mask array (of 0s and 1s) according to the layer configuration.
static int[]	Convolution3DUtils.get3DOutputSize(INDArray inputData, int[] kernel, int[] strides, int[] padding, ConvolutionMode convolutionMode, int[] dilation, boolean isNCDHW) Get the output size (depth/height/width) for the given input data and CNN3D configuration
static long[]	ConvolutionUtils.getDeconvolution3DOutputSize(INDArray inputData, int[] kernel, int[] strides, int[] padding, int[] dilation, ConvolutionMode convolutionMode, Convolution3D.DataFormat dataFormat) Get the output size of a deconvolution operation for given input data.
static int[]	ConvolutionUtils.getDeconvolutionOutputSize(INDArray inputData, int[] kernel, int[] strides, int[] padding, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format) Get the output size of a deconvolution operation for given input data.
static int[]	ConvolutionUtils.getOutputSize(INDArray inputData, int[] kernel, int[] strides, int[] padding, ConvolutionMode convolutionMode) Deprecated.
static int[]	ConvolutionUtils.getOutputSize(INDArray inputData, int[] kernel, int[] strides, int[] padding, ConvolutionMode convolutionMode, int[] dilation) Deprecated. Use ConvolutionUtils.getOutputSize(INDArray, int[], int[], int[], ConvolutionMode, int[], CNN2DFormat)
static int[]	ConvolutionUtils.getOutputSize(INDArray inputData, int[] kernel, int[] strides, int[] padding, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format) Get the output size (height/width) for the given input data and CNN configuration
static int	Convolution1DUtils.getOutputSize(INDArray inputData, int kernel, int strides, int padding, ConvolutionMode convolutionMode)
static int	Convolution1DUtils.getOutputSize(INDArray inputData, int kernel, int strides, int padding, ConvolutionMode convolutionMode, int dilation) Get the output size (height) for the given input data and CNN1D configuration
static long	Convolution1DUtils.getOutputSize(long inH, int kernel, int strides, int padding, ConvolutionMode convolutionMode, int dilation) Get the output size (height) for the given input data and CNN1D configuration
static PaddingMode	ConvolutionUtils.paddingModeForConvolutionMode(ConvolutionMode convolutionMode) Convert ConvolutionMode to PaddingMode Same : PaddingMode.SAME Strict, Truncate : PaddingMode.VALID Causal : PaddingMode.VALID
static void	Convolution1DUtils.validateConvolutionModePadding(ConvolutionMode mode, int padding) Check that the convolution mode is consistent with the padding specification
static void	ConvolutionUtils.validateConvolutionModePadding(ConvolutionMode mode, int[] padding) Check that the convolution mode is consistent with the padding specification
static void	ConvolutionUtils.validateShapes(INDArray inputData, int[] eKernel, int[] strides, int[] padding, ConvolutionMode convolutionMode, int[] dilation, int[] inShape, boolean atrous)
static void	Convolution1DUtils.validateShapes(INDArray inputData, int eKernel, int strides, int padding, ConvolutionMode convolutionMode, int dilation, int inShape, boolean atrous)