/TensorFlow 2.4


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

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

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).
A Tensor. Has the same type as alpha.

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Code samples licensed under the Apache 2.0 License.