tf.raw_ops.RandomPoissonV2
Outputs random values from the Poisson distribution(s) described by rate.
tf.raw_ops.RandomPoissonV2(
shape, rate, seed=0, seed2=0, dtype=tf.dtypes.int64, name=None
)
This op uses two algorithms, depending on rate. If rate >= 10, then the algorithm by Hormann is used to acquire samples via transformation-rejection. See http://www.sciencedirect.com/science/article/pii/0167668793909974
Otherwise, Knuth's algorithm is used to acquire samples via multiplying uniform random variables. See Donald E. Knuth (1969). Seminumerical Algorithms. The Art of Computer Programming, Volume 2. Addison Wesley
| 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 rate. |
rate |
A Tensor. Must be one of the following types: half, float32, float64, int32, int64. A tensor in which each scalar is a "rate" parameter describing the associated poisson 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. |
dtype |
An optional tf.DType from: tf.half, tf.float32, tf.float64, tf.int32, tf.int64. Defaults to tf.int64. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor of type dtype. |
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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/r2.3/api_docs/python/tf/raw_ops/RandomPoissonV2