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# tensorflow::ops::RandomPoissonV2

#include <random_ops.h>

Outputs random values from the Poisson distribution(s) described by rate.

## Summary

This op uses two algorithms, depending on rate. If rate >= 10, then the algorithm by Hormann is used to acquire samples via transformation-rejection. See http://www.sciencedirect.com/science/article/pii/0167668793909974.

Otherwise, Knuth's algorithm is used to acquire samples via multiplying uniform random variables. See Donald E. Knuth (1969). Seminumerical Algorithms. The Art of Computer Programming, Volume 2. Addison Wesley

Args:

• scope: A Scope object
• shape: 1-D integer tensor. Shape of independent samples to draw from each distribution described by the shape parameters given in rate.
• rate: A tensor in which each scalar is a "rate" parameter describing the associated poisson distribution.

Optional attributes (see Attrs):

• 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: A second seed to avoid seed collision.

Returns:

• Output: A tensor with shape shape + shape(rate). Each slice [:, ..., :, i0, i1, ...iN] contains the samples drawn for rate[i0, i1, ...iN].

### Constructors and Destructors

RandomPoissonV2(const ::tensorflow::Scope & scope, ::tensorflow::Input shape, ::tensorflow::Input rate)
RandomPoissonV2(const ::tensorflow::Scope & scope, ::tensorflow::Input shape, ::tensorflow::Input rate, const RandomPoissonV2::Attrs & attrs)

operation
output

### Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

### Public static functions

Dtype(DataType x)
Seed(int64 x)
Seed2(int64 x)

### Structs

tensorflow::ops::RandomPoissonV2::Attrs

Optional attribute setters for RandomPoissonV2.

## Public attributes

### operation

Operation operation

### output

::tensorflow::Output output

## Public functions

### RandomPoissonV2

RandomPoissonV2(
const ::tensorflow::Scope & scope,
::tensorflow::Input shape,
::tensorflow::Input rate
)

### RandomPoissonV2

RandomPoissonV2(
const ::tensorflow::Scope & scope,
::tensorflow::Input shape,
::tensorflow::Input rate,
const RandomPoissonV2::Attrs & attrs
)

### node

::tensorflow::Node * node() const

### operator::tensorflow::Input

operator::tensorflow::Input() const

### operator::tensorflow::Output

operator::tensorflow::Output() const

Attrs Dtype(
DataType x
)

Attrs Seed(
int64 x
)

Attrs Seed2(
int64 x
)
[]
[]