code: def configure_optimizers(self):
      return (
          [self.optimizer],
          [
              {
                  "scheduler": self.lr_scheduler,
                  "interval": "step",
              },
          ],
      )
  
imports: import logging
  import pathlib
  from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, RawDescriptionHelpFormatter
  from functools import partial
  from typing import Dict, Tuple
  import torch
  import torchaudio.models
  from lightning.pytorch import seed_everything, Trainer
  from lightning.pytorch.callbacks import ModelCheckpoint
  from .data_modules import HuBERTDataModule
  from .lightning_modules import SSLPretrainModule
  from .losses import hubert_loss
  from .lr_schedulers import LinearDecayLRScheduler
label_desc: Use image node_id 1 for calling the HuBERTModule obj's underlying member method code with example usage: obj.configure_optimizers() and returns: list,  list