public class CompareAndSet extends BaseTransformSameOp
dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexIddimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue| Constructor and Description |
|---|
CompareAndSet() |
CompareAndSet(INDArray x,
double set,
Condition condition)
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
PLEASE NOTE: X will be modified inplace.
|
CompareAndSet(INDArray x,
double compare,
double set,
double eps) |
CompareAndSet(INDArray x,
double compare,
double set,
double eps,
Condition condition) |
CompareAndSet(INDArray x,
INDArray y,
Condition condition)
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
PLEASE NOTE: X will be modified inplace.
|
CompareAndSet(INDArray x,
INDArray z,
double set,
Condition condition)
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
|
CompareAndSet(INDArray x,
INDArray z,
double compare,
double set,
double eps)
This constructor is shortcut to epsEquals.
|
CompareAndSet(INDArray x,
INDArray y,
INDArray z,
Condition condition)
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
Pseudocode:
z[i] = condition(y[i]) ? y[i] : x[i];
|
CompareAndSet(SameDiff sameDiff,
SDVariable to,
Number set,
Condition condition) |
| Modifier and Type | Method and Description |
|---|---|
List<SDVariable> |
doDiff(List<SDVariable> gradient)
The actual implementation for automatic differentiation.
|
String |
onnxName()
The opName of this function in onnx
|
String |
opName()
The name of the op
|
int |
opNum()
The number of the op (mainly for old legacy XYZ ops
like
Op) |
Map<String,Object> |
propertiesForFunction()
Returns the properties for a given function
|
String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, getOpType, opType, resultType, resultType, validateDataTypeszclearArrays, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, initFromOnnx, initFromTensorFlow, outputVariables, setX, setY, setZ, toCustomOp, toString, x, yarg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNamesclone, finalize, getClass, notify, notifyAll, wait, wait, waitclearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, zpublic CompareAndSet(SameDiff sameDiff, SDVariable to, Number set, Condition condition)
public CompareAndSet()
public CompareAndSet(INDArray x, double compare, double set, double eps)
public CompareAndSet(INDArray x, double compare, double set, double eps, Condition condition)
public CompareAndSet(INDArray x, double set, Condition condition)
x - set - condition - public CompareAndSet(INDArray x, INDArray z, double set, Condition condition)
x - set - condition - public CompareAndSet(INDArray x, INDArray y, Condition condition)
x - y - condition - public CompareAndSet(INDArray x, INDArray y, INDArray z, Condition condition)
x - y - z - condition - public Map<String,Object> propertiesForFunction()
DifferentialFunctionpropertiesForFunction in class DifferentialFunctionpublic int opNum()
DifferentialFunctionOp)opNum in interface OpopNum in class DifferentialFunctionpublic String opName()
DifferentialFunctionopName in interface OpopName in class DifferentialFunctionpublic String onnxName()
DifferentialFunctionpublic String tensorflowName()
DifferentialFunctiontensorflowName in class BaseOppublic List<SDVariable> doDiff(List<SDVariable> gradient)
DifferentialFunctiondoDiff in class DifferentialFunctionCopyright © 2021. All rights reserved.