Package org.deeplearning4j.nn.conf.layers

Class DepthwiseConvolution2D.Builder

java.lang.Object

org.deeplearning4j.nn.conf.layers.Layer.Builder<T>

org.deeplearning4j.nn.conf.layers.BaseLayer.Builder<T>

org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder<T>

org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder<DepthwiseConvolution2D.Builder>

org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder

Enclosing class:

DepthwiseConvolution2D

public static class DepthwiseConvolution2D.Builder
extends ConvolutionLayer.BaseConvBuilder<DepthwiseConvolution2D.Builder>

Field Summary

Fields

Modifier and Type	Field	Description
protected CNN2DFormat	cnn2DFormat
protected int	depthMultiplier	Set channels multiplier for depth-wise convolution

Fields inherited from class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder

convolutionDim, convolutionMode, cudnnAlgoMode, cudnnAllowFallback, cudnnBwdDataAlgo, cudnnBwdFilterAlgo, cudnnFwdAlgo, dilation, hasBias, kernelSize, padding, stride

Fields inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder

nIn, nOut

Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder

activationFn, biasInit, biasUpdater, gainInit, gradientNormalization, gradientNormalizationThreshold, iupdater, regularization, regularizationBias, weightInitFn, weightNoise

Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors

Constructor	Description
Builder()
Builder(int... kernelSize)
Builder(int[] kernelSize, int[] stride)
Builder(int[] kernelSize, int[] stride, int[] padding)

Method Summary

Modifier and Type	Method	Description
protected boolean	allowCausal()
DepthwiseConvolution2D	build()
DepthwiseConvolution2D.Builder	dataFormat(CNN2DFormat format)	Set the data format for the CNN activations - NCHW (channels first) or NHWC (channels last).
DepthwiseConvolution2D.Builder	depthMultiplier(int depthMultiplier)	Set channels multiplier for depth-wise convolution
DepthwiseConvolution2D.Builder	kernelSize(int... kernelSize)	Size of the convolution rows/columns
DepthwiseConvolution2D.Builder	padding(int... padding)	Padding of the convolution in rows/columns (height/width) dimensions
void	setDilation(int... dilation)
void	setKernelSize(int... kernelSize)
void	setPadding(int... padding)
void	setStride(int... stride)
DepthwiseConvolution2D.Builder	stride(int... stride)	Stride of the convolution in rows/columns (height/width) dimensions

Methods inherited from class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder

convolutionMode, cudnnAlgoMode, cudnnAllowFallback, cudnnBwdDataMode, cudnnBwdFilterMode, cudnnFwdMode, dilation, hasBias, helperAllowFallback, setConvolutionMode

Methods inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder

nIn, nIn, nOut, nOut, units

Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder

activation, activation, biasInit, biasUpdater, dist, gainInit, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, regularization, regularizationBias, updater, updater, weightDecay, weightDecay, weightDecayBias, weightDecayBias, weightInit, weightInit, weightInit, weightNoise

Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

constrainAllParameters, constrainBias, constrainWeights, dropOut, dropOut, name

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

depthMultiplier

protected int depthMultiplier

Set channels multiplier for depth-wise convolution

cnn2DFormat

protected CNN2DFormat cnn2DFormat

Constructor Detail

Builder

public Builder(int[] kernelSize,
               int[] stride,
               int[] padding)

Builder

public Builder(int[] kernelSize,
               int[] stride)

Builder

public Builder(int... kernelSize)

Builder

public Builder()

Method Detail

allowCausal

protected boolean allowCausal()

Specified by:

allowCausal in class ConvolutionLayer.BaseConvBuilder<DepthwiseConvolution2D.Builder>

dataFormat

public DepthwiseConvolution2D.Builder dataFormat(CNN2DFormat format)

Set the data format for the CNN activations - NCHW (channels first) or NHWC (channels last). See CNN2DFormat for more details.
Default: NCHW

Parameters:

format - Format for activations (in and out)

depthMultiplier

public DepthwiseConvolution2D.Builder depthMultiplier(int depthMultiplier)

Set channels multiplier for depth-wise convolution

Parameters:

depthMultiplier - integer value, for each input map we get depthMultiplier outputs in channels-wise step.

Returns:

Builder

kernelSize

public DepthwiseConvolution2D.Builder kernelSize(int... kernelSize)

Size of the convolution rows/columns

Overrides:

kernelSize in class ConvolutionLayer.BaseConvBuilder<DepthwiseConvolution2D.Builder>

Parameters:

kernelSize - the height and width of the kernel

stride

public DepthwiseConvolution2D.Builder stride(int... stride)

Stride of the convolution in rows/columns (height/width) dimensions

Overrides:

stride in class ConvolutionLayer.BaseConvBuilder<DepthwiseConvolution2D.Builder>

Parameters:

stride - Stride of the layer

padding

public DepthwiseConvolution2D.Builder padding(int... padding)

Padding of the convolution in rows/columns (height/width) dimensions

Overrides:

padding in class ConvolutionLayer.BaseConvBuilder<DepthwiseConvolution2D.Builder>

Parameters:

padding - Padding of the layer

setKernelSize

public void setKernelSize(int... kernelSize)

setStride

public void setStride(int... stride)

setPadding

public void setPadding(int... padding)

setDilation

public void setDilation(int... dilation)

build

public DepthwiseConvolution2D build()

Specified by:

build in class Layer.Builder<DepthwiseConvolution2D.Builder>