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

Class Mean

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.Mean

All Implemented Interfaces:

Op, ReduceFloatOp, ReduceOp

public class Mean
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 and Description
Mean()
Mean(INDArray x, boolean keepDims, int... dimensions)
Mean(INDArray x, INDArray z, boolean keepDims, int... dimensions)
Mean(INDArray x, INDArray y, INDArray z, boolean keepDims, int... dimensions)
Mean(INDArray x, INDArray y, INDArray z, int... dimensions)
Mean(INDArray x, INDArray z, int... dimensions)
Mean(INDArray x, int... dimensions)
Mean(INDArray in, int[] dimensions, boolean keepDims)
Mean(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions)
Mean(SameDiff sameDiff, SDVariable i_v, boolean keepDims, SDVariable dimensions)
Mean(SameDiff sameDiff, SDVariable input, int... dimensions)
Mean(SameDiff sameDiff, SDVariable input, int[] dimensions, boolean keepDims)
Mean(SameDiff sameDiff, SDVariable input, SDVariable dimensions)
Mean(SameDiff sameDiff, SDVariable input, SDVariable dimensions, boolean keepDims)
Mean(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions)
Mean(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> i_v1) 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.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

Mean

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

Mean

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

Mean

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

Mean

public Mean(SameDiff sameDiff,
            SDVariable input,
            int... dimensions)

Mean

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

Mean

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

Mean

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

Mean

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

Mean

public Mean()

Mean

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

Mean

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

Mean

public Mean(INDArray x,
            boolean keepDims,
            int... dimensions)

Mean

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

Mean

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

Mean

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

Mean

public Mean(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

doDiff

public List<SDVariable> doDiff(List<SDVariable> i_v1)

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 BaseOp

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class BaseOp

Returns: