org.nd4j.linalg.api.ops.impl.reduce3

Class ManhattanDistance

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseReduceOp

org.nd4j.linalg.api.ops.BaseReduceFloatOp

org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

org.nd4j.linalg.api.ops.impl.reduce3.ManhattanDistance

All Implemented Interfaces:

Op, ReduceFloatOp, ReduceOp

public class ManhattanDistance
extends BaseReduce3Op

Nested Class Summary

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

Op.Type

Field Summary

Fields

Modifier and Type	Field and Description
static String	OP_NAME

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

isComplex, isEmptyReduce, 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 and Description
ManhattanDistance()
ManhattanDistance(INDArray x, INDArray y, boolean allDistances, int... dimensions)
ManhattanDistance(INDArray x, INDArray y, INDArray z)
ManhattanDistance(INDArray x, INDArray y, INDArray z, boolean keepDims, boolean allDistances, int... dimensions)
ManhattanDistance(INDArray x, INDArray y, INDArray z, boolean allDistances, int... dimensions)
ManhattanDistance(INDArray x, INDArray y, int... dimensions)
ManhattanDistance(SameDiff sameDiff, SDVariable i_v, int[] dimensions)
ManhattanDistance(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> i_v1) The actual implementation for automatic differentiation.
String	opName() The name of the op
int	opNum() The number of the op (mainly for old legacy XYZ ops like Op)

Methods inherited from class org.nd4j.linalg.api.ops.impl.reduce3.BaseReduce3Op

calculateOutputDataTypes, getOpType, onnxName, opType, resultType, tensorflowName

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

calculateOutputShape, calculateOutputShape, resultType, validateDataTypes

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

hasReductionIndices, initFromOnnx, initFromTensorFlow, isComplexAccumulation, isKeepDims, noOp, setDimensions

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

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

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

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, 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.ReduceOp

dimensions, getFinalResult, isComplexAccumulation, isKeepDims, noOp, setDimensions

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

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

Field Detail

OP_NAME

public static final String OP_NAME

See Also:

Constant Field Values

Constructor Detail

ManhattanDistance

public ManhattanDistance(SameDiff sameDiff,
                         SDVariable i_v,
                         int[] dimensions)

ManhattanDistance

public ManhattanDistance(SameDiff sameDiff,
                         SDVariable i_v,
                         SDVariable i_v2,
                         int... dimensions)

ManhattanDistance

public ManhattanDistance()

ManhattanDistance

public ManhattanDistance(INDArray x,
                         INDArray y,
                         int... dimensions)

ManhattanDistance

public ManhattanDistance(INDArray x,
                         INDArray y,
                         boolean allDistances,
                         int... dimensions)

ManhattanDistance

public ManhattanDistance(INDArray x,
                         INDArray y,
                         INDArray z)

ManhattanDistance

public ManhattanDistance(INDArray x,
                         INDArray y,
                         INDArray z,
                         boolean allDistances,
                         int... dimensions)

ManhattanDistance

public ManhattanDistance(INDArray x,
                         INDArray y,
                         INDArray z,
                         boolean keepDims,
                         boolean allDistances,
                         int... dimensions)

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> i_v1)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Specified by:

doDiff in class DifferentialFunction

Returns: