Table of Contents
Shortcuts

# Parameter

class torch.nn.parameter.Parameter(data=None, requires_grad=True)

  A kind of Tensor that is to be considered a module parameter.

  Parameters are `Tensor` subclasses, that have a very special property when used with `Module` s - when they’re assigned as Module attributes they are automatically added to the list of its parameters, and will appear e.g. in `parameters()` iterator. Assigning a Tensor doesn’t have such effect. This is because one might want to cache some temporary state, like last hidden state of the RNN, in the model. If there was no such class as `Parameter`, these temporaries would get registered too.

  Parameters:

    - data (Tensor) – parameter tensor.

    - requires_grad (bool, optional) – if the parameter requires gradient. Note that the torch.no_grad() context does NOT affect the default behavior of Parameter creation–the Parameter will still have requires_grad=True in `no_grad` mode. See Locally disabling gradient computation for more details. Default: True

## 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.