Class StandardDeviation
- java.lang.Object
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- org.nd4j.autodiff.functions.DifferentialFunction
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- org.nd4j.linalg.api.ops.BaseOp
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- org.nd4j.linalg.api.ops.BaseReduceOp
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- org.nd4j.linalg.api.ops.impl.summarystats.Variance
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- org.nd4j.linalg.api.ops.impl.summarystats.StandardDeviation
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Field Summary
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Fields inherited from class org.nd4j.linalg.api.ops.impl.summarystats.Variance
bias, biasCorrected, mean
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Fields inherited from class org.nd4j.linalg.api.ops.BaseReduceOp
dimensionVariable, isComplex, isEmptyReduce, keepDims
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Fields inherited from class org.nd4j.linalg.api.ops.BaseOp
dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId
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Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction
dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue
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Constructor Summary
Constructors Constructor Description StandardDeviation()
StandardDeviation(boolean biasCorrected)
StandardDeviation(double mean)
StandardDeviation(double mean, double bias)
StandardDeviation(double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, double mean)
StandardDeviation(SameDiff sameDiff, double mean, double bias)
StandardDeviation(SameDiff sameDiff, double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean biasCorrected, boolean keepDims, int[] dimensions)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean keepDims, double mean)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean keepDims, double mean, double bias)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean keepDims, double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, double mean)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, double mean, double bias)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, boolean keepDims, double mean)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, boolean keepDims, double mean, double bias)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, boolean keepDims, double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, double mean)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, double mean, double bias)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions, boolean keepDims, double mean)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions, boolean keepDims, double mean, double bias)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions, boolean keepDims, double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, double mean)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, double mean, double bias)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean keepDims, double mean)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean keepDims, double mean, double bias)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean keepDims, double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, double mean)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, double mean, double bias)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, double mean, double bias, boolean biasCorrected)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions, double mean)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions, double mean, double bias)
StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions, double mean, double bias, boolean biasCorrected)
StandardDeviation(INDArray x)
StandardDeviation(INDArray x, boolean biasCorrected, boolean keepDims, int... dimension)
StandardDeviation(INDArray x, boolean keepDims, double mean, double bias, boolean biasCorrected, int... dimensions)
StandardDeviation(INDArray x, boolean keepDims, double mean, double bias, int... dimensions)
StandardDeviation(INDArray x, boolean keepDims, double mean, int... dimensions)
StandardDeviation(INDArray x, boolean biasCorrected, int... dimension)
StandardDeviation(INDArray x, double mean, double bias, boolean biasCorrected, int... dimensions)
StandardDeviation(INDArray x, double mean, double bias, int... dimensions)
StandardDeviation(INDArray x, double mean, int... dimensions)
StandardDeviation(INDArray x, int... dimension)
StandardDeviation(INDArray x, INDArray z, boolean newFormat, boolean keepDims, int[] dimensions)
StandardDeviation(INDArray x, INDArray z, boolean biasCorrected, int... dimension)
StandardDeviation(INDArray x, INDArray y, double mean, double bias, boolean biasCorrected, int... dimensions)
StandardDeviation(INDArray x, INDArray y, double mean, double bias, int... dimensions)
StandardDeviation(INDArray x, INDArray y, double mean, int... dimensions)
StandardDeviation(INDArray x, INDArray y, INDArray z, boolean keepDims, int[] dimensions, double mean)
StandardDeviation(INDArray x, INDArray y, INDArray z, boolean keepDims, int[] dimensions, double mean, double bias)
StandardDeviation(INDArray x, INDArray y, INDArray z, boolean keepDims, int[] dimensions, double mean, double bias, boolean biasCorrected)
StandardDeviation(INDArray x, INDArray y, INDArray z, double mean, double bias, boolean biasCorrected, int... dimensions)
StandardDeviation(INDArray x, INDArray y, INDArray z, double mean, double bias, int... dimensions)
StandardDeviation(INDArray x, INDArray y, INDArray z, double mean, int... dimensions)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<DataType>
calculateOutputDataTypes(List<DataType> dataTypes)
Calculate the data types for the output arrays.List<LongShapeDescriptor>
calculateOutputShape()
Calculate the output shape for this opList<SDVariable>
doDiff(List<SDVariable> grad)
The actual implementation for automatic differentiation.Op.Type
getOpType()
String
onnxName()
The opName of this function in onnxString
opName()
The name of the opint
opNum()
The number of the op (mainly for old legacy XYZ ops likeOp
)Op.Type
opType()
The type of the opvoid
setPropertiesForFunction(Map<String,Object> properties)
String
tensorflowName()
The opName of this function tensorflow-
Methods inherited from class org.nd4j.linalg.api.ops.impl.summarystats.Variance
calculateOutputShape, isBiasCorrected, noOp, resultType, resultType, setBiasCorrected, validateDataTypes
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Methods inherited from class org.nd4j.linalg.api.ops.BaseReduceOp
configureWithSameDiff, hasReductionIndices, initFromOnnx, initFromTensorFlow, isComplexAccumulation, isKeepDims, setDimensions
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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
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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
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface org.nd4j.linalg.api.ops.Op
clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z
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Methods inherited from interface org.nd4j.linalg.api.ops.ReduceOp
dimensions, getFinalResult
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Constructor Detail
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean biasCorrected, boolean keepDims, int[] dimensions)
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StandardDeviation
public StandardDeviation(INDArray x, boolean biasCorrected, boolean keepDims, int... dimension)
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StandardDeviation
public StandardDeviation(INDArray x, boolean biasCorrected, int... dimension)
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StandardDeviation
public StandardDeviation()
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StandardDeviation
public StandardDeviation(boolean biasCorrected)
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StandardDeviation
public StandardDeviation(INDArray x, int... dimension)
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StandardDeviation
public StandardDeviation(INDArray x)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray z, boolean biasCorrected, int... dimension)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray z, boolean newFormat, boolean keepDims, int[] dimensions)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, boolean keepDims, double mean)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean keepDims, double mean)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, double mean)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, double mean)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, double mean)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean keepDims, double mean)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions, boolean keepDims, double mean)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, double mean)
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StandardDeviation
public StandardDeviation(double mean)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray y, INDArray z, boolean keepDims, int[] dimensions, double mean)
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StandardDeviation
public StandardDeviation(INDArray x, double mean, int... dimensions)
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StandardDeviation
public StandardDeviation(INDArray x, boolean keepDims, double mean, int... dimensions)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray y, INDArray z, double mean, int... dimensions)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, double mean)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions, double mean)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, boolean keepDims, double mean, double bias)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean keepDims, double mean, double bias)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, double mean, double bias)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, double mean, double bias)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, double mean, double bias)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean keepDims, double mean, double bias)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions, boolean keepDims, double mean, double bias)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, double mean, double bias)
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StandardDeviation
public StandardDeviation(double mean, double bias)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray y, INDArray z, boolean keepDims, int[] dimensions, double mean, double bias)
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StandardDeviation
public StandardDeviation(INDArray x, double mean, double bias, int... dimensions)
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StandardDeviation
public StandardDeviation(INDArray x, boolean keepDims, double mean, double bias, int... dimensions)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray y, double mean, double bias, int... dimensions)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray y, INDArray z, double mean, double bias, int... dimensions)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, double mean, double bias)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions, double mean, double bias)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, boolean keepDims, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean keepDims, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, int[] dimensions, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, boolean keepDims, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions, boolean keepDims, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray y, INDArray z, boolean keepDims, int[] dimensions, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(INDArray x, double mean, double bias, boolean biasCorrected, int... dimensions)
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StandardDeviation
public StandardDeviation(INDArray x, boolean keepDims, double mean, double bias, boolean biasCorrected, int... dimensions)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray y, double mean, double bias, boolean biasCorrected, int... dimensions)
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StandardDeviation
public StandardDeviation(INDArray x, INDArray y, INDArray z, double mean, double bias, boolean biasCorrected, int... dimensions)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, double mean, double bias, boolean biasCorrected)
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StandardDeviation
public StandardDeviation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions, double mean, double bias, boolean biasCorrected)
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Method Detail
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opNum
public int opNum()
Description copied from class:DifferentialFunction
The number of the op (mainly for old legacy XYZ ops likeOp
)
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opName
public String opName()
Description copied from class:DifferentialFunction
The name of the op
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onnxName
public String onnxName()
Description copied from class:DifferentialFunction
The opName of this function in onnx
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tensorflowName
public String tensorflowName()
Description copied from class:DifferentialFunction
The opName of this function tensorflow- Overrides:
tensorflowName
in classVariance
- Returns:
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getOpType
public Op.Type getOpType()
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opType
public Op.Type opType()
Description copied from class:DifferentialFunction
The type of the op
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setPropertiesForFunction
public void setPropertiesForFunction(Map<String,Object> properties)
- Overrides:
setPropertiesForFunction
in classBaseReduceOp
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calculateOutputDataTypes
public List<DataType> calculateOutputDataTypes(List<DataType> dataTypes)
Description copied from class:DifferentialFunction
Calculate the data types for the output arrays. Though datatypes can also be inferred fromDifferentialFunction.calculateOutputShape()
, this method differs in that it does not require the input arrays to be populated. This is important as it allows us to do greedy datatype inference for the entire net - even if arrays are not available.- Overrides:
calculateOutputDataTypes
in classVariance
- Parameters:
dataTypes
- The data types of the inputs- Returns:
- The data types of the outputs
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doDiff
public List<SDVariable> doDiff(List<SDVariable> grad)
Description copied from class:DifferentialFunction
The actual implementation for automatic differentiation.
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calculateOutputShape
public List<LongShapeDescriptor> calculateOutputShape()
Description copied from class:DifferentialFunction
Calculate the output shape for this op- Overrides:
calculateOutputShape
in classVariance
- Returns:
- List of output shape descriptors
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