DynamicCustomOp.DynamicCustomOpsBuilder
lossReduce
axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments
dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue
Constructor and Description |
---|
MeanSquaredErrorLoss() |
MeanSquaredErrorLoss(INDArray labels,
INDArray predictions,
INDArray weights,
LossReduce lossReduce) |
MeanSquaredErrorLoss(SameDiff sameDiff,
LossReduce lossReduce,
SDVariable predictions,
SDVariable weights,
SDVariable labels) |
MeanSquaredErrorLoss(SameDiff sameDiff,
SDVariable labels,
SDVariable predictions,
SDVariable weights,
LossReduce lossReduce) |
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 MeanSquaredErrorLoss(SameDiff sameDiff, LossReduce lossReduce, SDVariable predictions, SDVariable weights, SDVariable labels)
public MeanSquaredErrorLoss(SameDiff sameDiff, SDVariable labels, SDVariable predictions, SDVariable weights, LossReduce lossReduce)
public MeanSquaredErrorLoss(INDArray labels, INDArray predictions, INDArray weights, LossReduce lossReduce)
public MeanSquaredErrorLoss()
public String opName()
DynamicCustomOp
public List<SDVariable> doDiff(List<SDVariable> grad)
DifferentialFunction
doDiff
in class DynamicCustomOp
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