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

Class Dot

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.Dot

All Implemented Interfaces:

Op, ReduceFloatOp, ReduceOp

public class Dot
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 and Description
Dot()
Dot(INDArray x, INDArray y, boolean allDistances, int... dimensions)
Dot(INDArray x, INDArray y, INDArray z)
Dot(INDArray x, INDArray y, INDArray z, boolean newFormat, boolean keepDims, int... dimensions)
Dot(INDArray x, INDArray y, INDArray z, boolean keepDims, int... dimensions)
Dot(INDArray x, INDArray y, INDArray z, int... dimensions) Full array dot product reduction, optionally along specified dimensions. See wikipedia for details.
Dot(INDArray x, INDArray y, int... dimensions)
Dot(SameDiff sameDiff, SDVariable i_v, int[] dimensions)
Dot(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions)
Dot(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions)
Dot(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> f1) 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

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.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

Constructor Detail

Dot

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

Dot

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

Dot

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

Dot

public Dot()

Dot

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

Full array dot product reduction, optionally along specified dimensions.
See wikipedia for details.

Parameters:

x - input variable.

y - input variable.

z - (optional) place holder for the result. Must have the expected shape.

dimensions - (optional) Dimensions to reduce over. If dimensions are not specified, full array reduction is performed.

See Also:

Transforms.dot(...) for a wrapper around the common use case of 2 INDArrays.

Dot

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

See Also:

Dot(INDArray x, INDArray y, INDArray z, int...)

Dot

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

Dot

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

See Also:

Dot(INDArray x, INDArray y, INDArray z, int...)

Dot

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

Dot

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

See Also:

Dot(INDArray x, INDArray y, INDArray z, int...)

Dot

public Dot(SameDiff sameDiff,
           SDVariable i_v,
           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> f1)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Specified by:

doDiff in class DifferentialFunction

Returns: