Package org.nd4j.linalg.api.ops.impl.indexaccum.custom

Class ArgAmin

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomIndexReduction

org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgAmin

All Implemented Interfaces:

CustomOp

public class ArgAmin
extends BaseDynamicCustomIndexReduction

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.custom.BaseDynamicCustomReduction

dimensions, isComplex, isEmptyReduce, 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	Description
ArgAmin()
ArgAmin(SameDiff sameDiff, SDVariable[] args, boolean keepDims)
ArgAmin(SameDiff sameDiff, SDVariable[] args, boolean keepDims, int[] dimensions)
ArgAmin(INDArray[] inputs)
ArgAmin(INDArray[] inputs, int[] dim)
ArgAmin(INDArray[] inputs, INDArray[] outputs)
ArgAmin(INDArray[] inputs, INDArray[] outputs, boolean keepDims)
ArgAmin(INDArray[] inputs, INDArray[] outputs, boolean keepDims, int... dimensions)

Method Summary

Modifier and Type	Method	Description
void	initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)	Initialize the function from the given NodeDef
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.reduce.custom.BaseDynamicCustomIndexReduction

calculateOutputDataTypes, calculateOutputShape

Methods inherited from class org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomReduction

addArgs

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

addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addOutputsToOp, addSArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, clearArrays, computeArrays, configureFromArguments, dArgs, doDiff, generateFake, generateFake, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getSArgument, getTArgument, getValue, iArgs, initFromOnnx, 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, 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

ArgAmin

public ArgAmin()

ArgAmin

public ArgAmin(SameDiff sameDiff,
               SDVariable[] args,
               boolean keepDims)

ArgAmin

public ArgAmin(SameDiff sameDiff,
               SDVariable[] args,
               boolean keepDims,
               int[] dimensions)

ArgAmin

public ArgAmin(INDArray[] inputs)

ArgAmin

public ArgAmin(INDArray[] inputs,
               INDArray[] outputs)

ArgAmin

public ArgAmin(INDArray[] inputs,
               INDArray[] outputs,
               boolean keepDims)

ArgAmin

public ArgAmin(INDArray[] inputs,
               INDArray[] outputs,
               boolean keepDims,
               int... dimensions)

ArgAmin

public ArgAmin(INDArray[] inputs,
               int[] dim)

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 BaseDynamicCustomReduction

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class DynamicCustomOp

Returns:

initFromTensorFlow

public void initFromTensorFlow(NodeDef nodeDef,
                               SameDiff initWith,
                               Map<String,AttrValue> attributesForNode,
                               GraphDef graph)

Description copied from class: DifferentialFunction

Initialize the function from the given NodeDef

Overrides:

initFromTensorFlow in class DynamicCustomOp