bias, biasCorrected, mean
isComplex, keepDims
dimensionz, extraArgs, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
StandardDeviation() |
StandardDeviation(INDArray x) |
StandardDeviation(INDArray x,
boolean biasCorrected,
int... dimension) |
StandardDeviation(INDArray x,
INDArray z,
boolean newFormat,
boolean keepDims,
int[] dimensions) |
StandardDeviation(INDArray x,
INDArray z,
boolean biasCorrected,
int... dimension) |
StandardDeviation(SameDiff sameDiff,
SDVariable i_v,
boolean biasCorrected,
boolean keepDims,
int[] dimensions) |
Modifier and Type | Method and Description |
---|---|
List<LongShapeDescriptor> |
calculateOutputShape()
Calculate the output shape for this op
|
List<SDVariable> |
doDiff(List<SDVariable> grad)
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
|
String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputDataTypes, isBiasCorrected, noOp, resultType, setBiasCorrected, validateDataTypes
hasReductionIndices, initFromOnnx, initFromTensorFlow, isComplexAccumulation, isKeepDims, setDimensions
defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getNumOutputs, getOpType, hashCode, outputVariables, setX, setY, setZ, toCustomOp, toString, x, y, z
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, f, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
dimensions, getFinalResult
extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean biasCorrected, boolean keepDims, int[] dimensions)
public StandardDeviation(INDArray x, boolean biasCorrected, int... dimension)
public StandardDeviation()
public StandardDeviation(INDArray x)
public StandardDeviation(INDArray x, INDArray z, boolean biasCorrected, int... dimension)
public int opNum()
DifferentialFunction
Op
)public String opName()
DifferentialFunction
public String onnxName()
DifferentialFunction
public String tensorflowName()
DifferentialFunction
tensorflowName
in class Variance
public Op.Type getOpType()
public Op.Type opType()
DifferentialFunction
public List<SDVariable> doDiff(List<SDVariable> grad)
DifferentialFunction
public List<LongShapeDescriptor> calculateOutputShape()
DifferentialFunction
calculateOutputShape
in class Variance
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