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

Class JaccardDistance

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.JaccardDistance

All Implemented Interfaces:

Op, ReduceFloatOp, ReduceOp

public class JaccardDistance
extends BaseReduce3Op

Nested Class Summary

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

Op.Type

Field Summary

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

dimensionVariable, 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	Description
JaccardDistance()
JaccardDistance(SameDiff sameDiff, SDVariable i_v, int[] dimensions)
JaccardDistance(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions)
JaccardDistance(SameDiff sd, SDVariable x, SDVariable y, boolean keepDims, boolean isComplex, int[] dimensions)
JaccardDistance(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions)
JaccardDistance(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions)
JaccardDistance(INDArray x, INDArray y, boolean allDistances)
JaccardDistance(INDArray x, INDArray y, boolean keepDims, boolean isComplex, int[] dimensions)
JaccardDistance(INDArray x, INDArray y, boolean allDistances, int... dimensions)
JaccardDistance(INDArray x, INDArray y, int... dimensions)
JaccardDistance(INDArray x, INDArray y, INDArray z)
JaccardDistance(INDArray x, INDArray y, INDArray z, boolean keepDims, boolean allDistances, int... dimensions)
JaccardDistance(INDArray x, INDArray y, INDArray z, boolean allDistances, int... dimensions)
JaccardDistance(INDArray x, INDArray y, INDArray z, int... dimensions)

Method Summary

Modifier and Type	Method	Description
List<SDVariable>	doDiff(List<SDVariable> f1)	The actual implementation for automatic differentiation.
Op.Type	getOpType()
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)
Op.Type	opType()	The type of the op
DataType	resultType()	This method returns datatype for result array wrt given inputs
String	tensorflowName()	The opName of this function tensorflow

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

calculateOutputDataTypes

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

calculateOutputShape, calculateOutputShape, resultType, validateDataTypes

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

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

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

clearArrays, computeVariables, 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, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, 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.Op

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

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

dimensions, getFinalResult, isComplexAccumulation, isKeepDims, noOp, setDimensions

Constructor Detail

JaccardDistance

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

JaccardDistance

public JaccardDistance(SameDiff sameDiff,
                       SDVariable i_v,
                       SDVariable dimensions)

JaccardDistance

public JaccardDistance(SameDiff sameDiff,
                       SDVariable i_v,
                       SDVariable i_v2,
                       SDVariable dimensions)

JaccardDistance

public JaccardDistance()

JaccardDistance

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

JaccardDistance

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

JaccardDistance

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

JaccardDistance

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

JaccardDistance

public JaccardDistance(INDArray x,
                       INDArray y,
                       boolean allDistances)

JaccardDistance

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

JaccardDistance

public JaccardDistance(INDArray x,
                       INDArray y,
                       INDArray z,
                       int... dimensions)

JaccardDistance

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

JaccardDistance

public JaccardDistance(SameDiff sd,
                       SDVariable x,
                       SDVariable y,
                       boolean keepDims,
                       boolean isComplex,
                       int[] dimensions)

JaccardDistance

public JaccardDistance(INDArray x,
                       INDArray y,
                       boolean keepDims,
                       boolean isComplex,
                       int[] dimensions)

Method Detail

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class BaseReduce3Op

Returns:

getOpType

public Op.Type getOpType()

Specified by:

getOpType in interface ReduceOp

Overrides:

getOpType in class BaseReduce3Op

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 BaseReduce3Op

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class BaseReduce3Op

Returns:

resultType

public DataType resultType()

Description copied from interface: ReduceOp

This method returns datatype for result array wrt given inputs

Specified by:

resultType in interface ReduceOp

Overrides:

resultType in class BaseReduce3Op

Returns: