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 | |
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`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 | |
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A `Tensor` . Has the same type as `alpha` . |

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Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/RandomGamma