org.nd4j.linalg.api.ops.impl.reduce.bp

Class DotBp

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

org.nd4j.linalg.api.ops.impl.reduce.bp.DotBp

All Implemented Interfaces:

CustomOp

public class DotBp
extends BaseReductionBp

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.reduce.bp.BaseReductionBp

dimensions, keepDims

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

extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor and Description
DotBp()
DotBp(INDArray origInput, INDArray gradAtOutput, INDArray output, boolean keepDims, INDArray dimensions)
DotBp(INDArray origInput, INDArray gradAtOutput, INDArray output, boolean keepDims, int... dimensions)
DotBp(INDArray origInput1, INDArray origInput2, INDArray gradAtOutput, INDArray output, boolean keepDims, int... dimensions)
DotBp(INDArray origInput1, INDArray origInput2, INDArray gradAtOutput, INDArray outputX, INDArray outputY, boolean keepDims, int... dimensions)
DotBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, int... dimensions)
DotBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean keepDims, SDVariable dimensions)
DotBp(SameDiff sameDiff, SDVariable origInput1, SDVariable origInput2, SDVariable gradAtOutput, boolean keepDims, int... dimensions)

Method Summary

Modifier and Type	Method and Description
List<DataType>	calculateOutputDataTypes(List<DataType> dataTypes) Calculate the data types for the output arrays.
String	opName() This method returns op opName as string

Methods inherited from class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp

addArgs

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

addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addSArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, calculateOutputShape, clearArrays, computeArrays, configureFromArguments, dArgs, doDiff, 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

DotBp

public DotBp()

DotBp

public DotBp(SameDiff sameDiff,
             SDVariable origInput,
             SDVariable gradAtOutput,
             boolean keepDims,
             int... dimensions)

DotBp

public DotBp(SameDiff sameDiff,
             SDVariable origInput1,
             SDVariable origInput2,
             SDVariable gradAtOutput,
             boolean keepDims,
             int... dimensions)

DotBp

public DotBp(INDArray origInput,
             INDArray gradAtOutput,
             INDArray output,
             boolean keepDims,
             int... dimensions)

DotBp

public DotBp(INDArray origInput1,
             INDArray origInput2,
             INDArray gradAtOutput,
             INDArray output,
             boolean keepDims,
             int... dimensions)

DotBp

public DotBp(INDArray origInput1,
             INDArray origInput2,
             INDArray gradAtOutput,
             INDArray outputX,
             INDArray outputY,
             boolean keepDims,
             int... dimensions)

DotBp

public DotBp(INDArray origInput,
             INDArray gradAtOutput,
             INDArray output,
             boolean keepDims,
             INDArray dimensions)

DotBp

public DotBp(SameDiff sameDiff,
             SDVariable origInput,
             SDVariable gradAtOutput,
             boolean keepDims,
             SDVariable dimensions)

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 BaseReductionBp

Returns:

calculateOutputDataTypes

public List<DataType> calculateOutputDataTypes(List<DataType> dataTypes)

Description copied from class: DifferentialFunction

Calculate the data types for the output arrays. Though datatypes can also be inferred from DifferentialFunction.calculateOutputShape(), this method differs in that it does not require the input arrays to be populated. This is important as it allows us to do greedy datatype inference for the entire net - even if arrays are not available.

Overrides:

calculateOutputDataTypes in class BaseReductionBp

Parameters:

dataTypes - The data types of the inputs

Returns:

The data types of the outputs