DynamicCustomOp.DynamicCustomOpsBuilder
axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments
dimensions, extraArgs, inPlace, sameDiff, scalarValue
Constructor and Description |
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BatchNormDerivative() |
BatchNormDerivative(SameDiff sameDiff,
SDVariable[] inputFunctions,
INDArray[] inputArrays,
INDArray[] outputArrays,
boolean inPlace,
boolean applyGamma,
boolean applyBeta,
double epsilon,
int[] axis) |
Modifier and Type | Method and Description |
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List<SDVariable> |
doDiff(List<SDVariable> f1)
The actual implementation for automatic differentiation.
|
String |
onnxName()
The opName of this function in onnx
|
String |
opName()
This method returns op opName as string
|
String |
tensorflowName()
The opName of this function tensorflow
|
addArgs, calculateOutputDataTypes, initFromOnnx, initFromTensorFlow, propertiesForFunction
addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, calculateOutputShape, clearArrays, dArgs, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, inputArguments, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, setInputArgument, setInputArguments, setOutputArgument, tArgs, toString, wrapFilterNull, wrapOrNull, wrapOrNull
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, equals, getNumOutputs, getValue, hashCode, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariablesNames, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
isInplaceCall
public BatchNormDerivative(SameDiff sameDiff, SDVariable[] inputFunctions, INDArray[] inputArrays, INDArray[] outputArrays, boolean inPlace, boolean applyGamma, boolean applyBeta, double epsilon, int[] axis)
public BatchNormDerivative()
public String opName()
DynamicCustomOp
public String tensorflowName()
DifferentialFunction
tensorflowName
in class BatchNorm
public String onnxName()
DifferentialFunction
public List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
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