public class IsMax extends BaseTransformAnyOp
dimensionz, extraArgs, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
IsMax() |
IsMax(INDArray x) |
IsMax(INDArray x,
INDArray z) |
IsMax(INDArray x,
INDArray z,
int... dimensions) |
IsMax(INDArray x,
int... dimensions) |
IsMax(SameDiff sameDiff,
SDVariable i_v,
boolean inPlace) |
IsMax(SameDiff sameDiff,
SDVariable i_v,
int[] shape,
boolean inPlace,
Object[] extraArgs) |
IsMax(SameDiff sameDiff,
SDVariable i_v,
Object[] extraArgs) |
Modifier and Type | Method and Description |
---|---|
List<SDVariable> |
doDiff(List<SDVariable> f1)
The actual implementation for automatic differentiation.
|
DataBuffer |
extraArgsDataBuff(DataType dtype)
Returns the extra args as a data buffer
|
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
|
calculateOutputDataTypes, calculateOutputShape, getOpType, opType, resultType, validateDataTypes
z
defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, getFinalResult, getNumOutputs, getOpType, hashCode, initFromOnnx, initFromTensorFlow, outputVariables, setX, setY, setZ, toCustomOp, toString, x, y
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, f, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
extraArgs, extraArgsBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z
public IsMax(SameDiff sameDiff, SDVariable i_v, boolean inPlace)
public IsMax(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs)
public IsMax(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs)
public IsMax()
public IsMax(INDArray x)
public IsMax(INDArray x, int... dimensions)
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 DataBuffer extraArgsDataBuff(DataType dtype)
Op
extraArgsDataBuff
in interface Op
extraArgsDataBuff
in class BaseOp
public List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
doDiff
in class DifferentialFunction
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