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.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	Subsampling3DLayer.convolutionMode
protected ConvolutionMode	Subsampling3DLayer.BaseSubsamplingBuilder.convolutionMode
protected ConvolutionMode	ConvolutionLayer.convolutionMode
protected ConvolutionMode	ConvolutionLayer.BaseConvBuilder.convolutionMode
protected ConvolutionMode	SubsamplingLayer.convolutionMode
protected ConvolutionMode	SubsamplingLayer.BaseSubsamplingBuilder.convolutionMode

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

Modifier and Type	Method and Description
T	Subsampling3DLayer.BaseSubsamplingBuilder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
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.
T	SubsamplingLayer.BaseSubsamplingBuilder.convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
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)

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
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	ConvolutionHelper.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray weights, org.nd4j.linalg.api.ndarray.INDArray delta, int[] kernel, int[] strides, int[] pad, org.nd4j.linalg.api.ndarray.INDArray biasGradView, org.nd4j.linalg.api.ndarray.INDArray weightGradView, org.nd4j.linalg.activations.IActivation afn, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.BwdFilterAlgo bwdFilterAlgo, ConvolutionLayer.BwdDataAlgo bwdDataAlgo, ConvolutionMode convolutionMode, int[] dilation, LayerWorkspaceMgr workspaceMgr)
org.nd4j.linalg.api.ndarray.INDArray	ConvolutionHelper.preOutput(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray weights, org.nd4j.linalg.api.ndarray.INDArray bias, int[] kernel, int[] strides, int[] pad, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.FwdAlgo fwdAlgo, ConvolutionMode convolutionMode, int[] dilation, 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
org.nd4j.linalg.api.ndarray.INDArray	SubsamplingHelper.activate(org.nd4j.linalg.api.ndarray.INDArray input, boolean training, int[] kernel, int[] strides, int[] pad, PoolingType poolingType, ConvolutionMode convolutionMode, int[] dilation, LayerWorkspaceMgr workspaceMgr)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	SubsamplingHelper.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray epsilon, int[] kernel, int[] strides, int[] pad, PoolingType poolingType, ConvolutionMode convolutionMode, int[] dilation, 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 int[]	Convolution3DUtils.get3DOutputSize(org.nd4j.linalg.api.ndarray.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 int[]	ConvolutionUtils.getDeconvolutionOutputSize(org.nd4j.linalg.api.ndarray.INDArray inputData, int[] kernel, int[] strides, int[] padding, ConvolutionMode convolutionMode, int[] dilation) Get the output size of a deconvolution operation for given input data.
static int[]	ConvolutionUtils.getOutputSize(org.nd4j.linalg.api.ndarray.INDArray inputData, int[] kernel, int[] strides, int[] padding, ConvolutionMode convolutionMode)
static int[]	ConvolutionUtils.getOutputSize(org.nd4j.linalg.api.ndarray.INDArray inputData, int[] kernel, int[] strides, int[] padding, ConvolutionMode convolutionMode, int[] dilation) Get the output size (height/width) for the given input data and CNN configuration
static void	ConvolutionUtils.validateConvolutionModePadding(ConvolutionMode mode, int[] padding) Check that the convolution mode is consistent with the padding specification
static void	ConvolutionUtils.validateShapes(org.nd4j.linalg.api.ndarray.INDArray inputData, int[] eKernel, int[] strides, int[] padding, ConvolutionMode convolutionMode, int[] dilation, int[] inShape, boolean atrous)