Package org.nd4j.linalg.api.ops.impl.reduce.floating

Class AMean

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.reduce.floating.AMean

All Implemented Interfaces:

Op, ReduceFloatOp, ReduceOp

public class AMean
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

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
AMean()
AMean(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions)
AMean(SameDiff sameDiff, SDVariable i_v, boolean keepDims, SDVariable dimensions)
AMean(SameDiff sameDiff, SDVariable i_v, int[] dimensions)
AMean(SameDiff sameDiff, SDVariable input, int[] dimensions, boolean keepDims)
AMean(SameDiff sameDiff, SDVariable input, SDVariable dimensions)
AMean(SameDiff sameDiff, SDVariable input, SDVariable dimensions, boolean keepDims)
AMean(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions)
AMean(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions)
AMean(INDArray in, boolean keepDims, int[] dimensions)
AMean(INDArray x, int... dimensions)
AMean(INDArray in, int[] dimensions, boolean keepDims)
AMean(INDArray in, INDArray dimensions, boolean keepDims)
AMean(INDArray input, INDArray output, boolean keepDims, int... dimensions)
AMean(INDArray x, INDArray z, int... dimensions)
AMean(INDArray x, INDArray y, INDArray z, boolean keepDims, int... dimensions)
AMean(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.
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)
String	tensorflowName()	The opName of this function tensorflow

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

calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, getOpType, opType, resultType, 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

AMean

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

AMean

public AMean(SameDiff sameDiff,
             SDVariable i_v,
             boolean keepDims,
             SDVariable dimensions)

AMean

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

AMean

public AMean(SameDiff sameDiff,
             SDVariable input,
             SDVariable dimensions,
             boolean keepDims)

AMean

public AMean(SameDiff sameDiff,
             SDVariable input,
             SDVariable dimensions)

AMean

public AMean(INDArray input,
             INDArray output,
             boolean keepDims,
             int... dimensions)

AMean

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

AMean

public AMean(SameDiff sameDiff,
             SDVariable i_v,
             SDVariable i_v2,
             int[] dimensions)

AMean

public AMean(SameDiff sameDiff,
             SDVariable input,
             int[] dimensions,
             boolean keepDims)

AMean

public AMean()

AMean

public AMean(INDArray x,
             INDArray z,
             int... dimensions)

AMean

public AMean(INDArray x,
             int... dimensions)

AMean

public AMean(INDArray in,
             boolean keepDims,
             int[] dimensions)

AMean

public AMean(INDArray in,
             INDArray dimensions,
             boolean keepDims)

AMean

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

AMean

public AMean(SameDiff sameDiff,
             SDVariable i_v,
             boolean keepDims,
             int[] dimensions)

AMean

public AMean(INDArray in,
             int[] dimensions,
             boolean keepDims)

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

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:

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: