public class IMax extends BaseIndexAccumulation
keepDims
dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, extraArgs, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
IMax() |
IMax(INDArray x,
boolean keepDims,
int... dimensions) |
IMax(INDArray x,
INDArray z,
int... dimensions) |
IMax(INDArray x,
int... dimensions) |
IMax(SameDiff sameDiff,
SDVariable i_v,
boolean keepDims,
int[] dimensions) |
Modifier and Type | Method and Description |
---|---|
List<SDVariable> |
doDiff(List<SDVariable> f1)
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 ) |
Op.Type |
opType()
The type of the op
|
String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, validateDataTypes
clearArrays, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, initFromOnnx, initFromTensorFlow, outputVariables, setX, setY, setZ, toCustomOp, toString, x, y, z
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
dimensions, getFinalResult, isKeepDims
clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z
public IMax(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions)
public IMax()
public IMax(INDArray x, int... dimensions)
public IMax(INDArray x, boolean keepDims, 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
public String tensorflowName()
DifferentialFunction
tensorflowName
in class BaseOp
public Op.Type opType()
DifferentialFunction
opType
in class BaseIndexAccumulation
public List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
doDiff
in class DifferentialFunction
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