Package org.deeplearning4j.nn.conf.layers

Class SeparableConvolution2D.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<SeparableConvolution2D.Builder>

org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder

Enclosing class:

SeparableConvolution2D

public static class SeparableConvolution2D.Builder
extends ConvolutionLayer.BaseConvBuilder<SeparableConvolution2D.Builder>

Field Summary

Fields

Modifier and Type	Field	Description
protected CNN2DFormat	dataFormat
protected int	depthMultiplier	Set channels multiplier of channels-wise step in separable convolution
protected List<LayerConstraint>	pointWiseConstraints	Set constraints to be applied to the point-wise convolution weight parameters of this layer.

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()
SeparableConvolution2D	build()
SeparableConvolution2D.Builder	constrainPointWise(LayerConstraint... constraints)	Set constraints to be applied to the point-wise convolution weight parameters of this layer.
SeparableConvolution2D.Builder	dataFormat(CNN2DFormat format)	Set the data format for the CNN activations - NCHW (channels first) or NHWC (channels last).
SeparableConvolution2D.Builder	depthMultiplier(int depthMultiplier)	Set channels multiplier of channels-wise step in separable convolution
SeparableConvolution2D.Builder	kernelSize(int... kernelSize)	Size of the convolution rows/columns (height/width)
SeparableConvolution2D.Builder	padding(int... padding)	Padding - rows/columns (height/width)
void	setKernelSize(int... kernelSize)
void	setPadding(int... padding)
void	setStride(int... stride)
SeparableConvolution2D.Builder	stride(int... stride)	Stride of the convolution rows/columns (height/width)

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 of channels-wise step in separable convolution

dataFormat

protected CNN2DFormat dataFormat

pointWiseConstraints

protected List<LayerConstraint> pointWiseConstraints

Set constraints to be applied to the point-wise convolution weight parameters of this layer. Default: no constraints.
Constraints can be used to enforce certain conditions (non-negativity of parameters, max-norm regularization, etc). These constraints are applied at each iteration, after the parameters have been updated.

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<SeparableConvolution2D.Builder>

dataFormat

public SeparableConvolution2D.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 SeparableConvolution2D.Builder depthMultiplier(int depthMultiplier)

Set channels multiplier of channels-wise step in separable convolution

Parameters:

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

Returns:

Builder

constrainPointWise

public SeparableConvolution2D.Builder constrainPointWise(LayerConstraint... constraints)

Set constraints to be applied to the point-wise convolution weight parameters of this layer. Default: no constraints.
Constraints can be used to enforce certain conditions (non-negativity of parameters, max-norm regularization, etc). These constraints are applied at each iteration, after the parameters have been updated.

Parameters:

constraints - Constraints to apply to the point-wise convolution parameters of this layer

kernelSize

public SeparableConvolution2D.Builder kernelSize(int... kernelSize)

Size of the convolution rows/columns (height/width)

Overrides:

kernelSize in class ConvolutionLayer.BaseConvBuilder<SeparableConvolution2D.Builder>

Parameters:

kernelSize - the height and width of the kernel

stride

public SeparableConvolution2D.Builder stride(int... stride)

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

Overrides:

stride in class ConvolutionLayer.BaseConvBuilder<SeparableConvolution2D.Builder>

Parameters:

stride - the stride of the kernel (in h/w dimensions)

padding

public SeparableConvolution2D.Builder padding(int... padding)

Padding - rows/columns (height/width)

Overrides:

padding in class ConvolutionLayer.BaseConvBuilder<SeparableConvolution2D.Builder>

Parameters:

padding - the padding in h/w dimensions

setKernelSize

public void setKernelSize(int... kernelSize)

setStride

public void setStride(int... stride)

setPadding

public void setPadding(int... padding)

build

public SeparableConvolution2D build()

Specified by:

build in class Layer.Builder<SeparableConvolution2D.Builder>