torch.poisson

torch.poisson(input, generator=None) → Tensor

Returns a tensor of the same size as input with each element sampled from a Poisson distribution with rate parameter given by the corresponding element in input i.e.,

$$\text{out}_i \sim \text{Poisson}(\text{input}_i)$$

input must be non-negative.

Parameters:

input (Tensor) – the input tensor containing the rates of the Poisson distribution

Keyword Arguments:

generator (torch.Generator, optional) – a pseudorandom number generator for sampling

Example:

>>> rates = torch.rand(4, 4) * 5  # rate parameter between 0 and 5
>>> torch.poisson(rates)
tensor([[9., 1., 3., 5.],
        [8., 6., 6., 0.],
        [0., 4., 5., 3.],
        [2., 1., 4., 2.]])