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