Class InvertPermutation
- java.lang.Object
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- org.nd4j.autodiff.functions.DifferentialFunction
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- org.nd4j.linalg.api.ops.DynamicCustomOp
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- org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp
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- org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation
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- All Implemented Interfaces:
CustomOp
public class InvertPermutation extends BaseDynamicTransformOp
Inverse of index permutation.- Author:
- Max Pumperla
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Nested Class Summary
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Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
DynamicCustomOp.DynamicCustomOpsBuilder
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Field Summary
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Fields inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, sArguments, tArguments
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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 InvertPermutation(SameDiff sameDiff, SDVariable input)
InvertPermutation(SameDiff sameDiff, SDVariable[] args, boolean inPlace)
InvertPermutation(SameDiff sameDiff, SDVariable input, boolean inPlace)
InvertPermutation(INDArray input)
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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<SDVariable>
doDiff(List<SDVariable> grad)
The actual implementation for automatic differentiation.INDArray
generateFake(long... shape)
Generate fake data forDynamicCustomOp.computeArrays()
of the given shape with the data typeNd4j.defaultFloatingPointType()
INDArray
generateFake(DataType dataType, long... shape)
Generate fake data forDynamicCustomOp.computeArrays()
of the the given shape with the given data typeString
onnxName()
The opName of this function in onnxString
opName()
This method returns op opName as stringString
tensorflowName()
The opName of this function tensorflow-
Methods inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addOutputsToOp, addSArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, calculateOutputShape, clearArrays, computeArrays, configureFromArguments, dArgs, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getSArgument, getTArgument, getValue, iArgs, initFromOnnx, initFromTensorFlow, inputArguments, mappingsForFunction, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numSArguments, numTArguments, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, propertiesForFunction, removeIArgument, removeInputArgument, removeOutputArgument, removeSArgument, removeTArgument, sArgs, setInputArgument, setInputArguments, setOutputArgument, setPropertiesForFunction, setValueFor, tArgs, toString, wrapFilterNull, wrapOrNull, wrapOrNull
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Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, configureWithSameDiff, diff, dup, equals, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getNumOutputs, getStringFromProperty, hashCode, isConfigProperties, larg, onnxNames, outputs, outputVariable, outputVariablesNames, rarg, replaceArg, setInstanceId, 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.CustomOp
isInplaceCall
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Constructor Detail
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InvertPermutation
public InvertPermutation(SameDiff sameDiff, SDVariable input)
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InvertPermutation
public InvertPermutation(SameDiff sameDiff, SDVariable input, boolean inPlace)
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InvertPermutation
public InvertPermutation(INDArray input)
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InvertPermutation
public InvertPermutation(SameDiff sameDiff, SDVariable[] args, boolean inPlace)
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Method Detail
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opName
public String opName()
Description copied from class:DynamicCustomOp
This method returns op opName as string- Specified by:
opName
in interfaceCustomOp
- Overrides:
opName
in classDynamicCustomOp
- Returns:
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onnxName
public String onnxName()
Description copied from class:DifferentialFunction
The opName of this function in onnx- Overrides:
onnxName
in classDynamicCustomOp
- Returns:
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tensorflowName
public String tensorflowName()
Description copied from class:DifferentialFunction
The opName of this function tensorflow- Overrides:
tensorflowName
in classDynamicCustomOp
- Returns:
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generateFake
public INDArray generateFake(long... shape)
Description copied from class:DynamicCustomOp
Generate fake data forDynamicCustomOp.computeArrays()
of the given shape with the data typeNd4j.defaultFloatingPointType()
- Overrides:
generateFake
in classDynamicCustomOp
- Parameters:
shape
- the shape to use- Returns:
- the generated data
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generateFake
public INDArray generateFake(DataType dataType, long... shape)
Description copied from class:DynamicCustomOp
Generate fake data forDynamicCustomOp.computeArrays()
of the the given shape with the given data type- Overrides:
generateFake
in classDynamicCustomOp
- Parameters:
dataType
- the data type of the output arrayshape
- the shape to use- Returns:
- the generated data
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doDiff
public List<SDVariable> doDiff(List<SDVariable> grad)
Description copied from class:DifferentialFunction
The actual implementation for automatic differentiation.- Overrides:
doDiff
in classDynamicCustomOp
- Returns:
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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 classBaseDynamicTransformOp
- Parameters:
dataTypes
- The data types of the inputs- Returns:
- The data types of the outputs
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