tensorflow::
ops::
RandomGamma
#include <random_ops.h>
Outputs random values from the Gamma distribution(s) described by alpha.
Summary
This op uses the algorithm by Marsaglia et al. to acquire samples via transformation-rejection from pairs of uniform and normal random variables. See http://dl.acm.org/citation.cfm?id=358414
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 alpha.
- alpha: A tensor in which each scalar is a "shape" parameter describing the associated gamma 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(alpha)
. Each slice[:, ..., :, i0, i1, ...iN]
contains the samples drawn foralpha[i0, i1, ...iN]
. The dtype of the output matches the dtype of alpha.
Constructors and Destructors |
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RandomGamma
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
shape, ::
tensorflow::Input
alpha)
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RandomGamma
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
shape, ::
tensorflow::Input
alpha, const
RandomGamma::Attrs
& attrs)
|
Public attributes |
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operation
|
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output
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Public functions |
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node
() const
|
::tensorflow::Node *
|
operator::tensorflow::Input
() const
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operator::tensorflow::Output
() const
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Public static functions |
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Seed
(int64 x)
|
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Seed2
(int64 x)
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Structs |
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tensorflow::
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Optional attribute setters for RandomGamma . |
Public attributes
Public functions
RandomGamma
RandomGamma( const ::tensorflow::Scope & scope, ::tensorflow::Input shape, ::tensorflow::Input alpha )
RandomGamma
RandomGamma( const ::tensorflow::Scope & scope, ::tensorflow::Input shape, ::tensorflow::Input alpha, const RandomGamma::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const