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

Class Choose

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.transforms.custom.Choose

All Implemented Interfaces:

CustomOp

public class Choose
extends DynamicCustomOp

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.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
Choose()
Choose(String opName, SameDiff sameDiff, SDVariable[] args, boolean inPlace)
Choose(String opName, INDArray[] inputs, INDArray[] outputs, List<Double> tArguments, List<Integer> iArguments)
Choose(String opName, INDArray[] inputs, Condition condition)
Choose(SameDiff sameDiff, SDVariable[] args, Condition condition)
Choose(INDArray[] inputs, List<Integer> iArgs, List<Double> tArgs, Condition condition)	Note that iArgs (integer arguments) and tArgs(double/float arguments) may end up being used under the following conditions: scalar operations (if a scalar is specified the you do not need to specify an ndarray) otherwise, if an ndarray is needed as a second input then put it in the inputs Usually, you only need 1 input (the equivalent of the array you're trying to do indexing on)
Choose(INDArray[] inputs, Condition condition)

Method Summary

Modifier and Type	Method	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.DynamicCustomOp

addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addOutputsToOp, 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

Choose

public Choose(SameDiff sameDiff,
              SDVariable[] args,
              Condition condition)

Choose

public Choose(String opName,
              INDArray[] inputs,
              INDArray[] outputs,
              List<Double> tArguments,
              List<Integer> iArguments)

Choose

public Choose(String opName,
              INDArray[] inputs,
              Condition condition)

Choose

public Choose(INDArray[] inputs,
              Condition condition)

Parameters:

inputs -

condition -

Choose

public Choose(INDArray[] inputs,
              List<Integer> iArgs,
              List<Double> tArgs,
              Condition condition)

Note that iArgs (integer arguments) and tArgs(double/float arguments) may end up being used under the following conditions: scalar operations (if a scalar is specified the you do not need to specify an ndarray) otherwise, if an ndarray is needed as a second input then put it in the inputs Usually, you only need 1 input (the equivalent of the array you're trying to do indexing on)

Parameters:

inputs - the inputs in to the op

iArgs - the integer arguments as needed

tArgs - the arguments

condition - the condition to filter on

Choose

public Choose(String opName,
              SameDiff sameDiff,
              SDVariable[] args,
              boolean inPlace)

Choose

public Choose()

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:

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 DifferentialFunction

Parameters:

dataTypes - The data types of the inputs

Returns:

The data types of the outputs