Class PostulateMetaOp
- 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.impl.grid.BaseGridOp
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- org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
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- org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp
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public class PostulateMetaOp extends BaseMetaOp
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Field Summary
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Fields inherited from class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
grid, queuedOps
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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 PostulateMetaOp()
PostulateMetaOp(INDArray x, INDArray y)
PostulateMetaOp(OpDescriptor opA, OpDescriptor opB)
PostulateMetaOp(ScalarOp opA, ReduceOp opB)
PostulateMetaOp(TransformOp opA, ReduceOp opB)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<SDVariable>
doDiff(List<SDVariable> f1)
The actual implementation for automatic differentiation.String
opName()
The name of the opint
opNum()
The number of the op (mainly for old legacy XYZ ops likeOp
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Methods inherited from class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
getFirstOp, getFirstOpDescriptor, getSecondOp, getSecondOpDescriptor, setFirstPointers, setSecondPointers
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Methods inherited from class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
getGridDescriptor, onnxName, tensorflowName
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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, 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, calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, configFieldName, configureWithSameDiff, diff, dup, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, opType, 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.GridOp
getGridDescriptor
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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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Constructor Detail
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PostulateMetaOp
public PostulateMetaOp()
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PostulateMetaOp
public PostulateMetaOp(TransformOp opA, ReduceOp opB)
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PostulateMetaOp
public PostulateMetaOp(OpDescriptor opA, OpDescriptor opB)
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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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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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