public abstract class BaseRandomOp extends BaseOp implements RandomOp
extraArgs, extraArgz, n, numProcessed, passThrough, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
BaseRandomOp(SameDiff sameDiff,
SDVariable i_v) |
Modifier and Type | Method and Description |
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List<int[]> |
calculateOutputShape()
Calculate
the output shape for this op
|
Op.Type |
opType()
The type of the op
|
equals, exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, init, initFromOnnx, initFromTensorFlow, isExecSpecial, isPassThrough, n, numProcessed, outputVariables, setN, setX, setY, setZ, toCustomOp, toString, x, y, z
arg, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, doDiff, dup, f, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxName, onnxNames, opName, opNum, outputVariables, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowName, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, init, isExecSpecial, isPassThrough, n, numProcessed, opName, opNum, setExtraArgs, setN, setX, setY, setZ, toCustomOp, x, y, z
public BaseRandomOp(SameDiff sameDiff, SDVariable i_v)
public Op.Type opType()
DifferentialFunction
opType
in class DifferentialFunction
public List<int[]> calculateOutputShape()
DifferentialFunction
calculateOutputShape
in class DifferentialFunction
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