Package org.deeplearning4j.nn.conf.layers

Class Subsampling1DLayer.Builder

java.lang.Object

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

org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder<Subsampling1DLayer.Builder>

org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder

Enclosing class:

Subsampling1DLayer

public static class Subsampling1DLayer.Builder
extends SubsamplingLayer.BaseSubsamplingBuilder<Subsampling1DLayer.Builder>

Field Summary

Fields inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder

avgPoolIncludePadInDivisor, cnn2DFormat, convolutionMode, cudnnAllowFallback, eps, kernelSize, padding, pnorm, poolingType, stride

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)
Builder(PoolingType poolingType)
Builder(PoolingType poolingType, int kernelSize)
Builder(PoolingType poolingType, int kernelSize, int stride, int padding)
Builder(SubsamplingLayer.PoolingType poolingType)
Builder(SubsamplingLayer.PoolingType poolingType, int kernelSize)
Builder(SubsamplingLayer.PoolingType poolingType, int kernelSize, int stride)
Builder(SubsamplingLayer.PoolingType poolingType, int kernelSize, int stride, int padding)

Method Summary

Modifier and Type	Method	Description
protected boolean	allowCausal()
Subsampling1DLayer	build()
Subsampling1DLayer.Builder	kernelSize(int kernelSize)	Kernel size
Subsampling1DLayer.Builder	padding(int padding)	Padding
void	setKernelSize(int... kernelSize)	Kernel size
void	setPadding(int... padding)	Padding
void	setStride(int... stride)	Stride
Subsampling1DLayer.Builder	stride(int stride)	Stride

Methods inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder

avgPoolIncludePadInDivisor, convolutionMode, cudnnAllowFallback, dataFormat, eps, helperAllowFallback, pnorm, poolingType, poolingType, setConvolutionMode, setEps, setPnorm

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

Constructor Detail

Builder

public Builder(SubsamplingLayer.PoolingType poolingType,
               int kernelSize,
               int stride)

Builder

public Builder(SubsamplingLayer.PoolingType poolingType,
               int kernelSize)

Builder

public Builder(PoolingType poolingType,
               int kernelSize)

Builder

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

Builder

public Builder(int kernelSize,
               int stride)

Builder

public Builder(int kernelSize)

Builder

public Builder(SubsamplingLayer.PoolingType poolingType)

Builder

public Builder(PoolingType poolingType)

Builder

public Builder()

Builder

public Builder(PoolingType poolingType,
               int kernelSize,
               int stride,
               int padding)

Builder

public Builder(SubsamplingLayer.PoolingType poolingType,
               int kernelSize,
               int stride,
               int padding)

Method Detail

allowCausal

protected boolean allowCausal()

Specified by:

allowCausal in class SubsamplingLayer.BaseSubsamplingBuilder<Subsampling1DLayer.Builder>

build

public Subsampling1DLayer build()

Specified by:

build in class Layer.Builder<Subsampling1DLayer.Builder>

kernelSize

public Subsampling1DLayer.Builder kernelSize(int kernelSize)

Kernel size

Parameters:

kernelSize - kernel size

stride

public Subsampling1DLayer.Builder stride(int stride)

Stride

Parameters:

stride - stride value

padding

public Subsampling1DLayer.Builder padding(int padding)

Padding

Parameters:

padding - padding value

setKernelSize

public void setKernelSize(int... kernelSize)

Kernel size

Parameters:

kernelSize - kernel size

setStride

public void setStride(int... stride)

Stride

Parameters:

stride - stride value

setPadding

public void setPadding(int... padding)

Padding

Parameters:

padding - padding value