public class BinomialDistributionEx extends BaseRandomOp
dataType, shape
dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, extraArgs, inPlace, sameDiff, scalarValue
Constructor and Description |
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BinomialDistributionEx() |
BinomialDistributionEx(@NonNull INDArray z,
@NonNull INDArray probabilities)
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
|
BinomialDistributionEx(@NonNull INDArray z,
long trials,
double probability)
This op fills Z with binomial distribution over given trials with single given probability for all trials
|
BinomialDistributionEx(@NonNull INDArray z,
long trials,
@NonNull INDArray probabilities)
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
|
Modifier and Type | Method and Description |
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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
|
calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, isInPlace, isTripleArgRngOp, opType
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
clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z
public BinomialDistributionEx()
public BinomialDistributionEx(@NonNull @NonNull INDArray z, long trials, double probability)
z
- trials
- probability
- public BinomialDistributionEx(@NonNull @NonNull INDArray z, long trials, @NonNull @NonNull INDArray probabilities)
z
- trials
- probabilities
- array with probability value for each trialpublic 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 List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
doDiff
in class DifferentialFunction
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