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

Class BaseReduce3Op

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

All Implemented Interfaces:

Op, ReduceFloatOp, ReduceOp

Direct Known Subclasses:

CosineDistance, CosineSimilarity, Dot, EqualsWithEps, EuclideanDistance, HammingDistance, JaccardDistance, ManhattanDistance

public abstract class BaseReduce3Op
extends BaseReduceFloatOp

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

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
BaseReduce3Op()
BaseReduce3Op(INDArray x, INDArray y, boolean allDistances, int... dimensions)
BaseReduce3Op(INDArray x, INDArray y, INDArray z)
BaseReduce3Op(INDArray x, INDArray y, INDArray z, boolean keepDims, boolean allDistances, int... dimensions)
BaseReduce3Op(INDArray x, INDArray y, INDArray z, boolean keepDims, int... dimensions)
BaseReduce3Op(INDArray x, INDArray y, INDArray z, int... dimensions)
BaseReduce3Op(INDArray x, INDArray y, int... dimensions)
BaseReduce3Op(SameDiff sameDiff, SDVariable i_v, int[] dimensions)
BaseReduce3Op(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions)

Method Summary

Modifier and Type	Method and Description
List<DataType>	calculateOutputDataTypes(List<DataType> dataTypes) Calculate the data types for the output arrays.
Op.Type	getOpType()
String	onnxName() The opName of this function in onnx
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.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, doDiff, dup, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, opName, opNum, 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, opName, opNum, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z

Constructor Detail

BaseReduce3Op

public BaseReduce3Op(SameDiff sameDiff,
                     SDVariable i_v,
                     int[] dimensions)

BaseReduce3Op

public BaseReduce3Op(SameDiff sameDiff,
                     SDVariable i_v,
                     SDVariable i_v2,
                     int... dimensions)

BaseReduce3Op

public BaseReduce3Op()

BaseReduce3Op

public BaseReduce3Op(INDArray x,
                     INDArray y,
                     int... dimensions)

BaseReduce3Op

public BaseReduce3Op(INDArray x,
                     INDArray y,
                     boolean allDistances,
                     int... dimensions)

BaseReduce3Op

public BaseReduce3Op(INDArray x,
                     INDArray y,
                     INDArray z)

BaseReduce3Op

public BaseReduce3Op(INDArray x,
                     INDArray y,
                     INDArray z,
                     boolean keepDims,
                     int... dimensions)

BaseReduce3Op

public BaseReduce3Op(INDArray x,
                     INDArray y,
                     INDArray z,
                     boolean keepDims,
                     boolean allDistances,
                     int... dimensions)

BaseReduce3Op

public BaseReduce3Op(INDArray x,
                     INDArray y,
                     INDArray z,
                     int... dimensions)

Method Detail

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class BaseReduceFloatOp

Returns:

getOpType

public Op.Type getOpType()

Specified by:

getOpType in interface ReduceOp

Overrides:

getOpType in class BaseReduceFloatOp

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:

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 BaseReduceFloatOp

Returns:

calculateOutputDataTypes

public List<DataType> calculateOutputDataTypes(List<DataType> dataTypes)

Description copied from class: DifferentialFunction

Calculate the data types for the output arrays. Though datatypes can also be inferred from DifferentialFunction.calculateOutputShape(), this method differs in that it does not require the input arrays to be populated. This is important as it allows us to do greedy datatype inference for the entire net - even if arrays are not available.

Overrides:

calculateOutputDataTypes in class BaseReduceFloatOp

Parameters:

dataTypes - The data types of the inputs

Returns:

The data types of the outputs