public class BroadcastCopyOp extends BaseBroadcastOp
dimension
dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue
Constructor and Description |
---|
BroadcastCopyOp() |
BroadcastCopyOp(INDArray x,
INDArray y,
INDArray z,
int... dimension) |
BroadcastCopyOp(SameDiff sameDiff) |
BroadcastCopyOp(SameDiff sameDiff,
SDVariable i_v,
int[] dimension,
boolean inPlace) |
BroadcastCopyOp(SameDiff sameDiff,
SDVariable i_v,
int[] dimension,
Object[] extraArgs) |
BroadcastCopyOp(SameDiff sameDiff,
SDVariable i_v,
long[] shape,
boolean inPlace,
int[] dimension,
Object[] extraArgs) |
BroadcastCopyOp(SameDiff sameDiff,
SDVariable i_v1,
SDVariable i_v2,
boolean inPlace,
int[] dimension) |
BroadcastCopyOp(SameDiff sameDiff,
SDVariable i_v1,
SDVariable i_v2,
int[] dimension) |
BroadcastCopyOp(SameDiff sameDiff,
SDVariable i_v1,
SDVariable i_v2,
int[] dimension,
Object[] extraArgs) |
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 ) |
String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputShape, getDimension, getOpType, initFromOnnx, initFromTensorFlow, opType, setDimension, validateDataTypes
clearArrays, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, outputVariables, setX, setY, setZ, toCustomOp, toString, x, y, z
arg, arg, argNames, args, attributeAdaptersForFunction, calculateOutputDataTypes, calculateOutputShape, 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
clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z
public BroadcastCopyOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension)
public BroadcastCopyOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace, int[] dimension)
public BroadcastCopyOp(SameDiff sameDiff)
public BroadcastCopyOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension, Object[] extraArgs)
public BroadcastCopyOp(SameDiff sameDiff, SDVariable i_v, int[] dimension, boolean inPlace)
public BroadcastCopyOp(SameDiff sameDiff, SDVariable i_v, long[] shape, boolean inPlace, int[] dimension, Object[] extraArgs)
public BroadcastCopyOp(SameDiff sameDiff, SDVariable i_v, int[] dimension, Object[] extraArgs)
public BroadcastCopyOp()
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 List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
doDiff
in class DifferentialFunction
public String onnxName()
DifferentialFunction
public String tensorflowName()
DifferentialFunction
tensorflowName
in class BaseOp
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