org.nd4j.linalg.api.ops.impl.accum

Class BaseReduction

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.accum.BaseReduction

All Implemented Interfaces:

CustomOp

Direct Known Subclasses:

SquaredNorm

public abstract class BaseReduction
extends DynamicCustomOp

Author:

Alex Black

Nested Class Summary

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

DynamicCustomOp.DynamicCustomOpsBuilder, DynamicCustomOp.SameDiffBuilder

Field Summary

Fields

Modifier and Type	Field and Description
protected int[]	dimensions
protected boolean	keepDims

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

iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments

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

extraArgs, inPlace, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor and Description
BaseReduction()
BaseReduction(INDArray input, INDArray output, boolean keepDims, int... dimensions)
BaseReduction(INDArray input1, INDArray input2, INDArray output, boolean keepDims, int... dimensions)
BaseReduction(SameDiff sameDiff, SDVariable input, boolean keepDims, int... dimensions)
BaseReduction(SameDiff sameDiff, SDVariable input1, SDVariable input2, boolean keepDims, int... dimensions)

Method Summary

Modifier and Type	Method and Description
protected void	addArgs()
abstract String	opName() This method returns op opName as string

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

addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, assertValidForExecution, builder, calculateOutputShape, doDiff, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, initFromOnnx, initFromTensorFlow, inputArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, onnxName, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, populateInputsAndOutputsFromSameDiff, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, sameDiffBuilder, setInputArgument, setOutputArgument, tArgs, tensorflowName, toString

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

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, equals, f, getNumOutputs, getValue, hashCode, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariablesNames, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setPropertiesForFunction, setValueFor, 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

keepDims

protected boolean keepDims

dimensions

protected int[] dimensions

Constructor Detail

BaseReduction

public BaseReduction(SameDiff sameDiff,
                     SDVariable input,
                     boolean keepDims,
                     int... dimensions)

Parameters:

input - Input to be reduced

keepDims - If true: reduction dimensions were kept

dimensions - Dimensions to reduce. May be null

BaseReduction

public BaseReduction(SameDiff sameDiff,
                     SDVariable input1,
                     SDVariable input2,
                     boolean keepDims,
                     int... dimensions)

Parameters:

input1 - input 1

input2 - input 2

keepDims - If true: reduction dimensions were kept

dimensions - Dimensions to reduce. May be null

BaseReduction

public BaseReduction(INDArray input,
                     INDArray output,
                     boolean keepDims,
                     int... dimensions)

Parameters:

input - input

output - Output array - i.e., gradient at the input to the reduction function

keepDims - If true: reduction dimensions were kept

dimensions - Dimensions to reduce. May be null

BaseReduction

public BaseReduction(INDArray input1,
                     INDArray input2,
                     INDArray output,
                     boolean keepDims,
                     int... dimensions)

Parameters:

input1 - Pre-reduced input1

input2 - Pre-reduced input2

output - Output array - i.e., gradient at the input to the reduction function

keepDims - If true: reduction dimensions were kept

dimensions - Dimensions to reduce. May be null

BaseReduction

public BaseReduction()

Method Detail

addArgs

protected void addArgs()

opName

public abstract 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: