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

Class FirstIndex

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseIndexAccumulation

org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex

All Implemented Interfaces:

IndexAccumulation, Op

public class FirstIndex
extends BaseIndexAccumulation

Nested Class Summary

Nested classes/interfaces inherited from interface org.nd4j.linalg.api.ops.Op

Op.Type

Field Summary

Fields

Modifier and Type	Field	Description
protected double	compare
protected Condition	condition
protected double	eps
protected Conditions.ConditionMode	mode

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

keepDims

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

dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId

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

dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor	Description
FirstIndex(SameDiff sameDiff, SDVariable i_v, boolean keepDims, Condition condition, int... dimensions)
FirstIndex(SameDiff sameDiff, SDVariable i_v, Condition condition, boolean keepDims, int... dimensions)
FirstIndex(INDArray x, boolean keepDims, @NonNull Condition condition, int... dimension)
FirstIndex(INDArray x, @NonNull Condition condition, boolean keepDims, int... dimension)
FirstIndex(INDArray x, @NonNull Condition condition, double eps, int... dimension)
FirstIndex(INDArray x, @NonNull Condition condition, int... dimension)

Method Summary

Modifier and Type	Method	Description
List<SDVariable>	doDiff(List<SDVariable> f1)	The actual implementation for automatic differentiation.
String	onnxName()	The opName of this function in onnx
String	opName()	The name of the op
int	opNum()	The number of the op (mainly for old legacy XYZ ops like Op)
String	tensorflowName()	The opName of this function tensorflow

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

calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, opType, validateDataTypes

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

clearArrays, computeVariables, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, initFromOnnx, initFromTensorFlow, outputVariables, setX, setY, setZ, toCustomOp, toString, x, y, z

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

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, configureWithSameDiff, diff, dup, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, 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.IndexAccumulation

dimensions, getFinalResult, isKeepDims

Methods inherited from interface org.nd4j.linalg.api.ops.Op

clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z

Field Detail

condition

protected Condition condition

compare

protected double compare

eps

protected double eps

mode

protected Conditions.ConditionMode mode

Constructor Detail

FirstIndex

public FirstIndex(SameDiff sameDiff,
                  SDVariable i_v,
                  Condition condition,
                  boolean keepDims,
                  int... dimensions)

FirstIndex

public FirstIndex(SameDiff sameDiff,
                  SDVariable i_v,
                  boolean keepDims,
                  Condition condition,
                  int... dimensions)

FirstIndex

public FirstIndex(INDArray x,
                  @NonNull
                  @NonNull Condition condition,
                  int... dimension)

FirstIndex

public FirstIndex(INDArray x,
                  boolean keepDims,
                  @NonNull
                  @NonNull Condition condition,
                  int... dimension)

FirstIndex

public FirstIndex(INDArray x,
                  @NonNull
                  @NonNull Condition condition,
                  boolean keepDims,
                  int... dimension)

FirstIndex

public FirstIndex(INDArray x,
                  @NonNull
                  @NonNull Condition condition,
                  double eps,
                  int... dimension)

Method Detail

opNum

public int opNum()

Description copied from class: DifferentialFunction

The number of the op (mainly for old legacy XYZ ops like Op)

Specified by:

opNum in interface Op

Overrides:

opNum in class DifferentialFunction

Returns:

opName

public String opName()

Description copied from class: DifferentialFunction

The name of the op

Specified by:

opName in interface Op

Overrides:

opName in class DifferentialFunction

Returns:

the opName of this operation

doDiff

public List<SDVariable> doDiff(List<SDVariable> f1)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Specified by:

doDiff in class DifferentialFunction

Returns:

onnxName

public String onnxName()

Description copied from class: DifferentialFunction

The opName of this function in onnx

Overrides:

onnxName in class BaseOp

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class BaseOp

Returns: