Package org.nd4j.linalg.api.ops.impl.loss

Class MeanPairwiseSquaredErrorLoss

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.loss.BaseLoss

org.nd4j.linalg.api.ops.impl.loss.MeanPairwiseSquaredErrorLoss

All Implemented Interfaces:

CustomOp

public class MeanPairwiseSquaredErrorLoss
extends BaseLoss

Mean Pairwise Squared Error Loss

Author:

Paul Dubs

Nested Class Summary

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

DynamicCustomOp.DynamicCustomOpsBuilder

Field Summary

Fields inherited from class org.nd4j.linalg.api.ops.impl.loss.BaseLoss

lossReduce

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

axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, sArguments, tArguments

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

dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor	Description
MeanPairwiseSquaredErrorLoss()
MeanPairwiseSquaredErrorLoss(SameDiff sameDiff, LossReduce lossReduce, SDVariable predictions, SDVariable weights, SDVariable labels)
MeanPairwiseSquaredErrorLoss(SameDiff sameDiff, SDVariable labels, SDVariable predictions, SDVariable weights, LossReduce lossReduce)
MeanPairwiseSquaredErrorLoss(INDArray labels, INDArray predictions, INDArray weights, LossReduce lossReduce)

Method Summary

Modifier and Type	Method	Description
List<SDVariable>	doDiff(List<SDVariable> grad)	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.loss.BaseLoss

addArgs, calculateOutputDataTypes, getWeights, getWeights

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

addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addOutputsToOp, addSArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, calculateOutputShape, clearArrays, computeArrays, configureFromArguments, dArgs, generateFake, generateFake, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getSArgument, getTArgument, getValue, iArgs, initFromOnnx, initFromTensorFlow, inputArguments, mappingsForFunction, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numSArguments, numTArguments, onnxName, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, propertiesForFunction, removeIArgument, removeInputArgument, removeOutputArgument, removeSArgument, removeTArgument, sArgs, setInputArgument, setInputArguments, setOutputArgument, setPropertiesForFunction, setValueFor, tArgs, tensorflowName, toString, wrapFilterNull, wrapOrNull, wrapOrNull

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

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, configureWithSameDiff, diff, dup, equals, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getNumOutputs, getStringFromProperty, hashCode, isConfigProperties, larg, onnxNames, outputs, outputVariable, outputVariablesNames, rarg, replaceArg, 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

MeanPairwiseSquaredErrorLoss

public MeanPairwiseSquaredErrorLoss(SameDiff sameDiff,
                                    LossReduce lossReduce,
                                    SDVariable predictions,
                                    SDVariable weights,
                                    SDVariable labels)

MeanPairwiseSquaredErrorLoss

public MeanPairwiseSquaredErrorLoss(SameDiff sameDiff,
                                    SDVariable labels,
                                    SDVariable predictions,
                                    SDVariable weights,
                                    LossReduce lossReduce)

MeanPairwiseSquaredErrorLoss

public MeanPairwiseSquaredErrorLoss(INDArray labels,
                                    INDArray predictions,
                                    INDArray weights,
                                    LossReduce lossReduce)

MeanPairwiseSquaredErrorLoss

public MeanPairwiseSquaredErrorLoss()

Method Detail

opName

public String opName()

Description copied from class: DynamicCustomOp

This method returns op opName as string

Specified by:

opName in interface CustomOp

Specified by:

opName in class BaseLoss

Returns:

doDiff

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

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Overrides:

doDiff in class DynamicCustomOp

Returns: