Table of Contents
Shortcuts

# 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.,

  out i∼Poisson(input i)\text{out}_i \sim \text{Poisson}(\text{input}_i) out i​∼Poisson(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.]])

## Docs

Access comprehensive developer documentation for PyTorch

View Docs

## Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

## Resources

Find development resources and get your questions answered

View Resources

To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As the current maintainers of this site, Facebook’s Cookies Policy applies. Learn more, including about available controls: Cookies Policy.