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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)`

### Public attributes

`operation`
`Operation`
`output`
`::tensorflow::Output`

### Public functions

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

### Public static functions

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

### 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 `

## Public static functions

### Dtype

```Attrs Dtype(
DataType x
)```

### Seed

```Attrs Seed(
int64 x
)```

### Seed2

```Attrs Seed2(
int64 x
)```
[]
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