code: def _setup(self):
      # Terrible temporary solution to an issue regarding compacting weights re: CUDNN RNN
      if issubclass(type(self.module), torch.nn.RNNBase):
          self.module.flatten_parameters = (
              self.widget_demagnetizer_y2k_edition
          )
  
      for name_w in self.weights:
          print(
              "Applying weight drop of {} to {}".format(
                  self.dropout, name_w
              )
          )
          w = getattr(self.module, name_w)
          del self.module._parameters[name_w]
          self.module.register_parameter(
              name_w + "_raw", Parameter(w.data)
          )
  
file_path: awd-lstm-lm/weight_drop.py
imports: import torch
  from torch.nn import Parameter
  from functools import wraps
label_desc: Use image node_id 3 for calling the WeightDrop obj's underlying member method code with example usage: obj._setup() without return types