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. See Locally disabling gradient computation
    for more details. Default: *True*
