Package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic

Class SquaredDifferenceOp

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp

org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp

All Implemented Interfaces:

CustomOp

public class SquaredDifferenceOp
extends BaseDynamicTransformOp

Nested Class Summary

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

DynamicCustomOp.DynamicCustomOpsBuilder

Field Summary

Fields

Modifier and Type	Field	Description
static String	OP_NAME

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
SquaredDifferenceOp()
SquaredDifferenceOp(SameDiff sameDiff, SDVariable x, SDVariable y)
SquaredDifferenceOp(SameDiff sameDiff, SDVariable x, SDVariable y, boolean inPlace)
SquaredDifferenceOp(INDArray x, INDArray y)
SquaredDifferenceOp(INDArray x, INDArray y, INDArray output)

Method Summary

Modifier and Type	Method	Description
List<SDVariable>	doDiff(List<SDVariable> i_v1)	The actual implementation for automatic differentiation.
String	onnxName()	The opName of this function in onnx
String	opName()	This method returns op opName as string
String	tensorflowName()	The opName of this function tensorflow

Methods inherited from class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp

calculateOutputDataTypes

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, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, propertiesForFunction, removeIArgument, removeInputArgument, removeOutputArgument, removeSArgument, removeTArgument, sArgs, setInputArgument, setInputArguments, setOutputArgument, setPropertiesForFunction, setValueFor, tArgs, 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

Field Detail

OP_NAME

public static final String OP_NAME

See Also:

Constant Field Values

Constructor Detail

SquaredDifferenceOp

public SquaredDifferenceOp()

SquaredDifferenceOp

public SquaredDifferenceOp(SameDiff sameDiff,
                           SDVariable x,
                           SDVariable y,
                           boolean inPlace)

SquaredDifferenceOp

public SquaredDifferenceOp(SameDiff sameDiff,
                           SDVariable x,
                           SDVariable y)

SquaredDifferenceOp

public SquaredDifferenceOp(INDArray x,
                           INDArray y,
                           INDArray output)

SquaredDifferenceOp

public SquaredDifferenceOp(INDArray x,
                           INDArray y)

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 DynamicCustomOp

Returns:

onnxName

public String onnxName()

Description copied from class: DifferentialFunction

The opName of this function in onnx

Overrides:

onnxName in class DynamicCustomOp

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class DynamicCustomOp

Returns:

doDiff

public List<SDVariable> doDiff(List<SDVariable> i_v1)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Overrides:

doDiff in class DynamicCustomOp

Returns: