code: def configure_optimizers(self):
      return (
          [self.optimizer],
          [
              {
                  "scheduler": self.warmup_lr_scheduler,
                  "interval": "step",
              },
          ],
      )
  
imports: from functools import partial
  from typing import List
  import sentencepiece
  import torch
  import torchaudio
  from common import Batch, batch_by_token_count, FunctionalModule, GlobalStatsNormalization, piecewise_linear_log, post_process_hypos, spectrogram_transform, WarmupLR
  from pytorch_lightning import LightningModule
  from torchaudio.models import emformer_rnnt_base, RNNTBeamSearch
  from .dataset import MUSTC
label_desc: Use image node_id 9 for calling the MuSTCRNNTModule obj's underlying member method code with example usage: obj.configure_optimizers() and returns: list,  list