def parameters(self):
    r"""Returns an iterator over module parameters.

    This is typically passed to an optimizer.

    Yields:
      Parameter: module parameter

    Example::

      > for param in model.parameters():
      >   print(type(param.data), param.size())
      <class 'torch.FloatTensor'> (20L,)
      <class 'torch.FloatTensor'> (20L, 1L, 5L, 5L)

    """
    for name, param in self.named_parameters():
      yield param

for name, param in model.named_parameters():
  if param.requires_grad:
    print(name)