docstr: reset the optimizer if training enters stage 2
docstr_tok: ["reset","the","optimizer","if","training","enters","stage","2"]
code: def check_and_reset_optimizer(self):
      """reset the optimizer if training enters stage 2"""
      current_epoch = self.hparams.epoch_counter.current
      if not hasattr(self, "switched"):
          self.switched = False
          if isinstance(self.optimizer, torch.optim.SGD):
              self.switched = True
  
      if self.switched is True:
          return
  
      if current_epoch > self.hparams.stage_one_epochs:
          self.optimizer = self.hparams.SGD(self.modules.parameters())
  
          if self.checkpointer is not None:
              self.checkpointer.add_recoverable(
                  "optimizer", self.optimizer
              )
  
          self.switched = True
  
file_path: speechbrain/recipes/CommonVoice/ASR/transformer/train.py
imports: import sys
  import torch
  import torchaudio
  import logging
  import speechbrain
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.tokenizers.SentencePiece import SentencePiece
  from speechbrain.utils.distributed import run_on_main, if_main_process
  from speechbrain.utils.data_utils import undo_padding
label_desc: Use image node_id 7 for calling the ASR obj's underlying member method code with example usage: obj.check_and_reset_optimizer() without return types