Class RandomPoisson.Inputs

java.lang.Object

org.tensorflow.op.RawOpInputs<RandomPoisson<?>>

org.tensorflow.op.random.RandomPoisson.Inputs

Enclosing class:

RandomPoisson<V extends TNumber>

public static class RandomPoisson.Inputs
extends RawOpInputs<RandomPoisson<?>>

Field Summary

Fields

Modifier and Type	Field	Description
final DataType	dtype	The dtype attribute
final DataType	R	The R attribute
final Operand<? extends TNumber>	rate	A tensor in which each scalar is a "rate" parameter describing the associated poisson distribution.
final DataType	S	The S attribute
final long	seed	If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
final long	seed2	A second seed to avoid seed collision.
final Operand<? extends TNumber>	shape	1-D integer tensor.

Constructor Summary

Constructors

Constructor	Description
Inputs(GraphOperation op)

Method Summary

Methods inherited from class RawOpInputs

attributeMetadata, attributeNames, attributes, attributeValue, attributeValues, equals, getOutputs, hashCode, toString

Modifier and Type	Method	Description
AttributeMetadata	attributeMetadata(String name)	Get the metadata for an attribute
Set<String>	attributeNames()	Get the names of this op's attributes
OperationAttributeInspector	attributes()	Get an inspector for the operation's attributes.
AttrValue	attributeValue(String name)	Get the value of an attribute as an AttrValue proto.
Map<String, AttrValue>	attributeValues()	Get all attribute value protos
final boolean	equals(Object obj)
RandomPoisson<?>	getOutputs()	The outputs of this operation.
final int	hashCode()
final String	toString()

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Details

shape

public final Operand<? extends TNumber> shape

1-D integer tensor. Shape of independent samples to draw from each distribution described by the shape parameters given in rate.

rate

public final Operand<? extends TNumber> rate

A tensor in which each scalar is a "rate" parameter describing the associated poisson distribution.

seed

public final long seed

If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.

seed2

public final long seed2

A second seed to avoid seed collision.

S

public final DataType S

The S attribute

R

public final DataType R

The R attribute

dtype

public final DataType dtype

The dtype attribute

Constructor Details

Inputs

public Inputs(GraphOperation op)