code: def _setup(self):
          
          if isinstance(self.module, torch.nn.RNNBase): self.module.flatten_parameters = noop
          for name_w in self.weights:
              w = getattr(self.module, name_w)
              del self.module._parameters[name_w]
              self.module.register_parameter(name_w + '_raw', nn.Parameter(w.data))
docs: for each string defined in self.weights, the corresponding
          attribute in the wrapped module is referenced, then deleted, and subsequently
          registered as a new parameter with a slightly modified name.
  
          Args:
              None
  
           Returns:
               None