Class Linspace
- 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.random.BaseRandomOp
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- org.nd4j.linalg.api.ops.random.impl.Linspace
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public class Linspace extends BaseRandomOp
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Field Summary
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Fields inherited from class org.nd4j.linalg.api.ops.random.BaseRandomOp
dataType, shape
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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 Linspace()
Linspace(double from, double to, long length, DataType dataType)
Linspace(double from, long length, double step, DataType dataType)
Linspace(@NonNull INDArray z, double from, double to)
Linspace(@NonNull INDArray z, double from, double to, double step)
Linspace(SameDiff sd, double from, double to, long length)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<LongShapeDescriptor>
calculateOutputShape()
Calculate the output shape for this opList<LongShapeDescriptor>
calculateOutputShape(OpContext oc)
List<SDVariable>
doDiff(List<SDVariable> f1)
The actual implementation for automatic differentiation.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
)void
setX(INDArray x)
set x (the input ndarray)void
setY(INDArray y)
set y(the pairwise ndarray)String
tensorflowName()
The opName of this function tensorflowINDArray
x()
The origin ndarrayINDArray
y()
The pairwise op ndarray-
Methods inherited from class org.nd4j.linalg.api.ops.random.BaseRandomOp
calculateOutputDataTypes, isInPlace, isTripleArgRngOp, opType
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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, initFromOnnx, initFromTensorFlow, outputVariables, setZ, toCustomOp, toString, z
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Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, configureWithSameDiff, diff, dup, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, setPropertiesForFunction, 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, setZ, toCustomOp, z
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Constructor Detail
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Linspace
public Linspace()
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Linspace
public Linspace(double from, long length, double step, DataType dataType)
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Linspace
public Linspace(double from, double to, long length, DataType dataType)
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Linspace
public Linspace(@NonNull @NonNull INDArray z, double from, double to)
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Linspace
public Linspace(@NonNull @NonNull INDArray z, double from, double to, double step)
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Linspace
public Linspace(SameDiff sd, double from, double to, long length)
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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
)- Specified by:
opNum
in interfaceOp
- Overrides:
opNum
in classDifferentialFunction
- Returns:
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opName
public String opName()
Description copied from class:DifferentialFunction
The name of the op- Specified by:
opName
in interfaceOp
- Overrides:
opName
in classDifferentialFunction
- Returns:
- the opName of this operation
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setY
public void setY(INDArray y)
Description copied from interface:Op
set y(the pairwise ndarray)
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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 classBaseOp
- Returns:
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calculateOutputShape
public List<LongShapeDescriptor> calculateOutputShape(OpContext oc)
- Overrides:
calculateOutputShape
in classDifferentialFunction
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calculateOutputShape
public List<LongShapeDescriptor> calculateOutputShape()
Description copied from class:DifferentialFunction
Calculate the output shape for this op- Overrides:
calculateOutputShape
in classBaseRandomOp
- Returns:
- List of output shape descriptors
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doDiff
public List<SDVariable> doDiff(List<SDVariable> f1)
Description copied from class:DifferentialFunction
The actual implementation for automatic differentiation.- Specified by:
doDiff
in classDifferentialFunction
- Returns:
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