public class ReplaceNans extends BaseTransformOp
extraArgs, extraArgz, n, numProcessed, passThrough, x, xVertexId, y, yVertexId, z, zVertexIddimensions, inPlace, sameDiff, scalarValue| Constructor and Description |
|---|
ReplaceNans() |
ReplaceNans(INDArray x,
double set) |
ReplaceNans(INDArray x,
INDArray z,
double set) |
ReplaceNans(INDArray x,
INDArray z,
double set,
long n) |
ReplaceNans(SameDiff sameDiff,
SDVariable i_v,
boolean inPlace,
double set) |
ReplaceNans(SameDiff sameDiff,
SDVariable i_v,
int[] shape,
boolean inPlace,
java.lang.Object[] extraArgs,
double set) |
ReplaceNans(SameDiff sameDiff,
SDVariable i_v,
java.lang.Object[] extraArgs,
double set) |
| Modifier and Type | Method and Description |
|---|---|
java.util.List<SDVariable> |
doDiff(java.util.List<SDVariable> f1)
The actual implementation for automatic differentiation.
|
void |
init(INDArray x,
INDArray y,
INDArray z,
long n)
Initialize the operation based on the parameters
|
java.lang.String |
onnxName()
The opName of this function in onnx
|
java.lang.String |
opName()
The name of the op
|
int |
opNum()
The number of the op (mainly for old legacy XYZ ops
like
Op) |
java.lang.String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputShape, opType, zequals, exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, initFromOnnx, initFromTensorFlow, isExecSpecial, isPassThrough, n, numProcessed, outputVariables, setN, setX, setY, setZ, toCustomOp, toString, x, yarg, arg, argNames, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, dup, f, getNumOutputs, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNamesclone, finalize, getClass, notify, notifyAll, wait, wait, waitexec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, isExecSpecial, isPassThrough, n, numProcessed, setExtraArgs, setN, setX, setY, setZ, toCustomOp, x, ypublic ReplaceNans(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double set)
public ReplaceNans(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, java.lang.Object[] extraArgs, double set)
public ReplaceNans(SameDiff sameDiff, SDVariable i_v, java.lang.Object[] extraArgs, double set)
public ReplaceNans()
public ReplaceNans(INDArray x, double set)
public int opNum()
DifferentialFunctionOp)opNum in interface OpopNum in class DifferentialFunctionpublic java.lang.String opName()
DifferentialFunctionopName in interface OpopName in class DifferentialFunctionpublic java.lang.String onnxName()
DifferentialFunctiononnxName in class DifferentialFunctionpublic java.lang.String tensorflowName()
DifferentialFunctiontensorflowName in class DifferentialFunctionpublic void init(INDArray x, INDArray y, INDArray z, long n)
Oppublic java.util.List<SDVariable> doDiff(java.util.List<SDVariable> f1)
DifferentialFunctiondoDiff in class DifferentialFunction