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
orseed2
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 shapeshape + shape(rate)
. Each slice[:, ..., :, i0, i1, ...iN]
contains the samples drawn forrate[i0, i1, ...iN]
.
Constructors and Destructors |
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RandomPoissonV2(const ::tensorflow::Scope & scope, ::tensorflow::Input shape, ::tensorflow::Input rate)
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RandomPoissonV2(const ::tensorflow::Scope & scope, ::tensorflow::Input shape, ::tensorflow::Input rate, const RandomPoissonV2::Attrs & attrs)
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Public attributes |
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operation
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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Dtype(DataType x)
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Seed(int64 x)
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Seed2(int64 x)
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Structs |
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tensorflow:: |
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 )