tf.raw_ops.RandomGamma | TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.RandomGamma

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Outputs random values from the Gamma distribution(s) described by alpha.

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Compat aliases for migration

tf.compat.v1.raw_ops.RandomGamma

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.

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Last updated 2024-04-26 UTC.