public class FloorModOp extends DynamicCustomOp
DynamicCustomOp.DynamicCustomOpsBuilder, DynamicCustomOp.SameDiffBuilder
iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments
dimensions, extraArgs, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
FloorModOp() |
FloorModOp(SameDiff sameDiff,
SDVariable x,
SDVariable y) |
Modifier and Type | Method and Description |
---|---|
java.util.List<SDVariable> |
doDiff(java.util.List<SDVariable> f1)
The actual implementation for automatic differentiation.
|
java.lang.String |
onnxName()
The opName of this function in onnx
|
java.lang.String |
opName()
This method returns op opName as string
|
java.lang.String |
tensorflowName()
The opName of this function tensorflow
|
addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, asProperties, assertValidForExecution, builder, calculateOutputShape, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, initFromOnnx, initFromTensorFlow, inputArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, populateInputsAndOutputsFromSameDiff, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, sameDiffBuilder, setInputArgument, setOutputArgument, tArgs, toString
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, equals, f, getNumOutputs, getValue, hashCode, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariablesNames, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
isInplaceCall
public FloorModOp()
public FloorModOp(SameDiff sameDiff, SDVariable x, SDVariable y)
public java.lang.String opName()
DynamicCustomOp
opName
in interface CustomOp
opName
in class DynamicCustomOp
public java.lang.String onnxName()
DifferentialFunction
onnxName
in class DynamicCustomOp
public java.lang.String tensorflowName()
DifferentialFunction
tensorflowName
in class DynamicCustomOp
public java.util.List<SDVariable> doDiff(java.util.List<SDVariable> f1)
DifferentialFunction
doDiff
in class DynamicCustomOp