Package org.deeplearning4j.nn.conf.layers

Class Subsampling3DLayer.Builder

java.lang.Object

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

org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder<Subsampling3DLayer.Builder>

org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder

Enclosing class:

Subsampling3DLayer

public static class Subsampling3DLayer.Builder
extends Subsampling3DLayer.BaseSubsamplingBuilder<Subsampling3DLayer.Builder>

Field Summary

Fields

Modifier and Type	Field	Description
protected Convolution3D.DataFormat	dataFormat	The data format for input and output activations. NCDHW: activations (in/out) should have shape [minibatch, channels, depth, height, width] NDHWC: activations (in/out) should have shape [minibatch, depth, height, width, channels]

Fields inherited from class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder

convolutionMode, cudnnAllowFallback, dilation, kernelSize, padding, poolingType, stride

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

allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors

Constructor	Description
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(Subsampling3DLayer.PoolingType poolingType)
Builder(Subsampling3DLayer.PoolingType poolingType, int[] kernelSize)
Builder(Subsampling3DLayer.PoolingType poolingType, int[] kernelSize, int[] stride)
Builder(Subsampling3DLayer.PoolingType poolingType, int[] kernelSize, int[] stride, int[] padding)

Method Summary

Modifier and Type	Method	Description
Subsampling3DLayer	build()
Subsampling3DLayer.Builder	dataFormat(Convolution3D.DataFormat dataFormat)	The data format for input and output activations. NCDHW: activations (in/out) should have shape [minibatch, channels, depth, height, width] NDHWC: activations (in/out) should have shape [minibatch, depth, height, width, channels]
Subsampling3DLayer.Builder	kernelSize(int... kernelSize)	Kernel size
Subsampling3DLayer.Builder	padding(int... padding)	Padding
void	setDilation(int... dilation)	Dilation
void	setKernelSize(int... kernelSize)
void	setPadding(int... padding)	Padding
void	setStride(int... stride)	Stride
Subsampling3DLayer.Builder	stride(int... stride)	Stride

Methods inherited from class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder

convolutionMode, cudnnAllowFallback, dilation, helperAllowFallback, poolingType, poolingType, setConvolutionMode

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

dataFormat

protected Convolution3D.DataFormat dataFormat

The data format for input and output activations.
NCDHW: activations (in/out) should have shape [minibatch, channels, depth, height, width]
NDHWC: activations (in/out) should have shape [minibatch, depth, height, width, channels]

Constructor Detail

Builder

public Builder(Subsampling3DLayer.PoolingType poolingType,
               int[] kernelSize,
               int[] stride)

Builder

public Builder(Subsampling3DLayer.PoolingType poolingType,
               int[] kernelSize)

Builder

public Builder(Subsampling3DLayer.PoolingType poolingType,
               int[] kernelSize,
               int[] stride,
               int[] padding)

Builder

public Builder(PoolingType poolingType,
               int[] kernelSize)

Builder

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

Builder

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

Builder

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

Builder

public Builder(int... kernelSize)

Builder

public Builder(Subsampling3DLayer.PoolingType poolingType)

Builder

public Builder(PoolingType poolingType)

Method Detail

kernelSize

public Subsampling3DLayer.Builder kernelSize(int... kernelSize)

Kernel size

Parameters:

kernelSize - kernel size in height and width dimensions

stride

public Subsampling3DLayer.Builder stride(int... stride)

Stride

Parameters:

stride - stride in height and width dimensions

padding

public Subsampling3DLayer.Builder padding(int... padding)

Padding

Parameters:

padding - padding in the height and width dimensions

dataFormat

public Subsampling3DLayer.Builder dataFormat(Convolution3D.DataFormat dataFormat)

The data format for input and output activations.
NCDHW: activations (in/out) should have shape [minibatch, channels, depth, height, width]
NDHWC: activations (in/out) should have shape [minibatch, depth, height, width, channels]

Parameters:

dataFormat - Data format to use for activations

build

public Subsampling3DLayer build()

Specified by:

build in class Layer.Builder<Subsampling3DLayer.Builder>

setKernelSize

public void setKernelSize(int... kernelSize)

setStride

public void setStride(int... stride)

Stride

Parameters:

stride - stride in height and width dimensions

setPadding

public void setPadding(int... padding)

Padding

Parameters:

padding - padding in the height and width dimensions

setDilation

public void setDilation(int... dilation)

Dilation

Overrides:

setDilation in class Subsampling3DLayer.BaseSubsamplingBuilder<Subsampling3DLayer.Builder>

Parameters:

dilation - padding in the height and width dimensions