class_docstr: Container module with an encoder, a recurrent module, and a decoder.
code: def init_weights(self):
      initrange = 0.1
      self.encoder.weight.data.uniform_(-initrange, initrange)
      self.decoder.bias.data.fill_(0)
      self.decoder.weight.data.uniform_(-initrange, initrange)
  
file_path: awd-lstm-lm/model.py
imports: import torch
  import torch.nn
  from embed_regularize import embedded_dropout
  from locked_dropout import LockedDropout
  from weight_drop import WeightDrop
label_desc: Use image node_id 3 for calling the RNNModel obj's underlying member method code with example usage: obj.init_weights() without return types