Outputs random values from the Gamma distribution(s) described by alpha.
tf.raw_ops.RandomGamma(
shape, alpha, seed=0, seed2=0, name=None
)
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 |
|---|
shape
|
A Tensor. Must be one of the following types: int32, int64.
1-D integer tensor. Shape of independent samples to draw from each
distribution described by the shape parameters given in alpha.
|
alpha
|
A Tensor. Must be one of the following types: half, float32, float64.
A tensor in which each scalar is a "shape" parameter describing the
associated gamma distribution.
|
seed
|
An optional int. Defaults to 0.
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
|
An optional int. Defaults to 0.
A second seed to avoid seed collision.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as alpha.
|
