public class JaccardDistance extends BaseReduce3Op
isComplex, isEmptyReduce, keepDims
dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue
Constructor and Description |
---|
JaccardDistance() |
JaccardDistance(INDArray x,
INDArray y,
boolean allDistances) |
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,
int... dimensions) |
JaccardDistance(SameDiff sameDiff,
SDVariable i_v,
SDVariable i_v2,
int... dimensions) |
Modifier and Type | Method and 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
|
calculateOutputDataTypes
calculateOutputShape, calculateOutputShape, resultType, validateDataTypes
hasReductionIndices, initFromOnnx, initFromTensorFlow, isComplexAccumulation, isKeepDims, noOp, setDimensions
clearArrays, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, outputVariables, setX, setY, setZ, toCustomOp, toString, x, y, z
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
dimensions, getFinalResult, isComplexAccumulation, isKeepDims, noOp, setDimensions
clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z
public JaccardDistance(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions)
public JaccardDistance()
public JaccardDistance(INDArray x, INDArray y, INDArray z, boolean allDistances, int... dimensions)
public Op.Type opType()
DifferentialFunction
opType
in class BaseReduce3Op
public Op.Type getOpType()
getOpType
in interface ReduceOp
getOpType
in class BaseReduce3Op
public int opNum()
DifferentialFunction
Op
)opNum
in interface Op
opNum
in class DifferentialFunction
public String opName()
DifferentialFunction
opName
in interface Op
opName
in class DifferentialFunction
public List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
doDiff
in class DifferentialFunction
public String onnxName()
DifferentialFunction
onnxName
in class BaseReduce3Op
public String tensorflowName()
DifferentialFunction
tensorflowName
in class BaseReduce3Op
public DataType resultType()
ReduceOp
resultType
in interface ReduceOp
resultType
in class BaseReduce3Op
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