public class OldAtan2Op extends BaseTransformOp
extraArgs, extraArgz, n, numProcessed, passThrough, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
OldAtan2Op() |
OldAtan2Op(INDArray x,
INDArray y) |
OldAtan2Op(INDArray x,
INDArray y,
INDArray z) |
OldAtan2Op(INDArray x,
INDArray y,
INDArray z,
long n) |
OldAtan2Op(SameDiff sameDiff) |
OldAtan2Op(SameDiff sameDiff,
SDVariable i_v,
boolean inPlace) |
OldAtan2Op(SameDiff sameDiff,
SDVariable i_v,
int[] shape,
boolean inPlace,
Object[] extraArgs) |
OldAtan2Op(SameDiff sameDiff,
SDVariable i_v,
Object[] extraArgs) |
OldAtan2Op(SameDiff sameDiff,
SDVariable i_v1,
SDVariable i_v2) |
OldAtan2Op(SameDiff sameDiff,
SDVariable i_v1,
SDVariable i_v2,
boolean inPlace) |
OldAtan2Op(SameDiff sameDiff,
SDVariable i_v1,
SDVariable i_v2,
Object[] extraArgs) |
Modifier and Type | Method and Description |
---|---|
List<SDVariable> |
doDiff(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
|
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 ) |
String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputShape, opType, z
equals, exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, initFromOnnx, initFromTensorFlow, isExecSpecial, isPassThrough, n, numProcessed, outputVariables, setN, setX, setY, setZ, toCustomOp, toString, x, y
arg, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, dup, f, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariables, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, isExecSpecial, isPassThrough, n, numProcessed, setExtraArgs, setN, setX, setY, setZ, toCustomOp, x, y
public OldAtan2Op(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2)
public OldAtan2Op(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace)
public OldAtan2Op(SameDiff sameDiff)
public OldAtan2Op(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, Object[] extraArgs)
public OldAtan2Op(SameDiff sameDiff, SDVariable i_v, boolean inPlace)
public OldAtan2Op(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs)
public OldAtan2Op(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs)
public OldAtan2Op()
public int opNum()
DifferentialFunction
Op
)opNum
in interface Op
opNum
in class DifferentialFunction
public String opName()
DifferentialFunction
opName
in interface Op
opName
in class DifferentialFunction
public String onnxName()
DifferentialFunction
onnxName
in class DifferentialFunction
public String tensorflowName()
DifferentialFunction
tensorflowName
in class DifferentialFunction
public void init(INDArray x, INDArray y, INDArray z, long n)
Op
public List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
doDiff
in class DifferentialFunction
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