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

Class Pooling2DDerivative

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative

All Implemented Interfaces:

CustomOp

public class Pooling2DDerivative
extends Pooling2D

Pooling2DDerivative operation

Nested Class Summary

Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D

Pooling2D.Divisor, Pooling2D.Pooling2DType

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.Pooling2D

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
Pooling2DDerivative()
Pooling2DDerivative(SameDiff sameDiff, SDVariable[] inputs, INDArray[] arrayInputs, INDArray[] arrayOutputs, Pooling2DConfig config)

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.Pooling2D

configFieldName, getPoolingPrefix, initFromOnnx, initFromTensorFlow, 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, 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

Pooling2DDerivative

public Pooling2DDerivative(SameDiff sameDiff,
                           SDVariable[] inputs,
                           INDArray[] arrayInputs,
                           INDArray[] arrayOutputs,
                           Pooling2DConfig config)

Pooling2DDerivative

public Pooling2DDerivative()

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 Pooling2D

Returns:

doDiff

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

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Overrides:

doDiff in class Pooling2D

Returns: