public class StandardDeviation extends Variance
bias, biasCorrected, mean
finalResult, isComplex, keepDims, newFormat
extraArgs, extraArgz, n, numProcessed, passThrough, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
StandardDeviation() |
StandardDeviation(INDArray x) |
StandardDeviation(INDArray x,
boolean biasCorrected) |
StandardDeviation(INDArray x,
INDArray y) |
StandardDeviation(INDArray x,
INDArray y,
INDArray z,
long n,
boolean biasCorrected) |
StandardDeviation(INDArray x,
INDArray y,
long n) |
StandardDeviation(SameDiff sameDiff,
SDVariable i_v,
int[] dimensions,
boolean biasCorrected) |
StandardDeviation(SameDiff sameDiff,
SDVariable i_v,
SDVariable i_v2,
int[] dimensions,
boolean biasCorrected) |
Modifier and Type | Method and Description |
---|---|
List<SDVariable> |
doDiff(List<SDVariable> i_v1)
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 ) |
getOpType, init, isBiasCorrected, isPassThrough, noOp, onnxName, setBiasCorrected, tensorflowName
calculateOutputShape, getFinalResult, hasReductionIndices, initFromOnnx, initFromTensorFlow, isComplexAccumulation, isKeepDims, opType, setFinalResult, zeroDouble, zeroFloat, zeroHalf
equals, exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, isExecSpecial, n, numProcessed, outputVariables, setN, setX, setY, setZ, toCustomOp, toString, x, y, z
arg, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, dup, f, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariables, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, isExecSpecial, n, numProcessed, setExtraArgs, setN, setX, setY, setZ, toCustomOp, x, y, z
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, boolean biasCorrected)
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean biasCorrected)
public StandardDeviation(INDArray x, boolean biasCorrected)
public StandardDeviation(INDArray x, INDArray y, INDArray z, long n, boolean biasCorrected)
public StandardDeviation()
public StandardDeviation(INDArray x)
public int opNum()
DifferentialFunction
Op
)public String opName()
DifferentialFunction
public List<SDVariable> doDiff(List<SDVariable> i_v1)
DifferentialFunction
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