class_docstr: Container module with an encoder, a recurrent module, and a decoder.
code: def reset(self):
      if self.rnn_type == "QRNN":
          [r.reset() for r in self.rnns]
  
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 2 for calling the RNNModel obj's underlying member method code with example usage: obj.reset() without return types