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 and Description
int	depthMultiplier

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, dist, gradientNormalization, gradientNormalizationThreshold, iupdater, l1, l1Bias, l2, l2Bias, weightInit, weightNoise

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

allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
DepthwiseConvolution2D	build()
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)
DepthwiseConvolution2D.Builder	stride(int... stride)

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

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

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

nIn, nOut, units

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

activation, activation, biasInit, biasUpdater, dist, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, updater, updater, 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

public int depthMultiplier

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

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

Parameters:

kernelSize - the height and width of the kernel

Returns:

stride

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

padding

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

build

public DepthwiseConvolution2D build()

Specified by:

build in class Layer.Builder<DepthwiseConvolution2D.Builder>