DynamicCustomOp.DynamicCustomOpsBuilder
lossReduce
axis, bArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments
dimensions, extraArgs, inPlace, sameDiff, scalarValue
Constructor and Description |
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LogPoissonLoss() |
LogPoissonLoss(SameDiff sameDiff,
LossReduce lossReduce,
SDVariable predictions,
SDVariable weights,
SDVariable labels) |
LogPoissonLoss(SameDiff sameDiff,
LossReduce lossReduce,
SDVariable predictions,
SDVariable weights,
SDVariable labels,
boolean full) |
Modifier and Type | Method and Description |
---|---|
protected void |
addArgs() |
List<SDVariable> |
doDiff(List<SDVariable> grad)
The actual implementation for automatic differentiation.
|
String |
opName()
This method returns op opName as string
|
calculateOutputDataTypes
addBArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, clearArrays, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, initFromOnnx, initFromTensorFlow, inputArguments, numBArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, onnxName, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, setInputArgument, setInputArguments, setOutputArgument, tArgs, tensorflowName, toString, wrapFilterNull, wrapOrNull
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, equals, f, getNumOutputs, getValue, hashCode, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
isInplaceCall
public LogPoissonLoss(SameDiff sameDiff, LossReduce lossReduce, SDVariable predictions, SDVariable weights, SDVariable labels)
public LogPoissonLoss(SameDiff sameDiff, LossReduce lossReduce, SDVariable predictions, SDVariable weights, SDVariable labels, boolean full)
public LogPoissonLoss()
public String opName()
DynamicCustomOp
public List<SDVariable> doDiff(List<SDVariable> grad)
DifferentialFunction
doDiff
in class DynamicCustomOp
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