org.nd4j.linalg.api.ops.impl.layers.convolution

Class Pooling3DDerivative

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3DDerivative

All Implemented Interfaces:

CustomOp

public class Pooling3DDerivative
extends Pooling3D

Pooling3DDerivative operation

Nested Class Summary

Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

Pooling3D.Pooling3DType

Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp.DynamicCustomOpsBuilder, DynamicCustomOp.SameDiffBuilder

Field Summary

Fields inherited from class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

config

Fields inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

inplaceCall, outputVariables

Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction

dimensions, extraArgs, inPlace, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor and Description
Pooling3DDerivative()
Pooling3DDerivative(SameDiff sameDiff, SDVariable[] inputs, INDArray[] inputArrays, INDArray[] outputs, boolean inPlace, Pooling3DConfig pooling3DConfig, Pooling3D.Pooling3DType type)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> f1) The actual implementation for automatic differentiation.
String	opName() This method returns op opName as string

Methods inherited from class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D

configFieldName, getPoolingPrefix, isConfigProperties, onnxName, propertiesForFunction, setValueFor, tensorflowName

Methods inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

addIArgument, addInputArgument, addOutputArgument, addTArgument, asProperties, assertValidForExecution, builder, calculateOutputShape, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, initFromOnnx, initFromTensorFlow, inputArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, populateInputsAndOutputsFromSameDiff, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, sameDiffBuilder, setInputArgument, setOutputArgument, tArgs, toString, updateInputsFromSameDiff

Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction

arg, args, attributeAdaptersForFunction, diff, dup, equals, f, getValue, hashCode, hasPlaceHolderInputs, larg, mappingsForFunction, onnxNames, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, tensorflowNames

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.nd4j.linalg.api.ops.CustomOp

isInplaceCall

Constructor Detail

Pooling3DDerivative

public Pooling3DDerivative(SameDiff sameDiff,
                           SDVariable[] inputs,
                           INDArray[] inputArrays,
                           INDArray[] outputs,
                           boolean inPlace,
                           Pooling3DConfig pooling3DConfig,
                           Pooling3D.Pooling3DType type)

Pooling3DDerivative

public Pooling3DDerivative()

Method Detail

opName

public String opName()

Description copied from class: DynamicCustomOp

This method returns op opName as string

Specified by:

opName in interface CustomOp

Overrides:

opName in class Pooling3D

Returns:

doDiff

public List<SDVariable> doDiff(List<SDVariable> f1)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Overrides:

doDiff in class Pooling3D

Returns: