code: def configure_optimizers(self):
      optimizer = torch.optim.SGD(self.layer.parameters(), lr=0.1)
      lr_scheduler = torch.optim.lr_scheduler.StepLR(
          optimizer, step_size=1
      )
      return [optimizer], [lr_scheduler]
  
imports: from typing import Optional
  import torch
  from pytorch_lightning import LightningDataModule, LightningModule
  from torch.utils.data import DataLoader, Dataset, Subset
label_desc: Use image node_id 12 for calling the BoringModel obj's underlying member method code with example usage: obj.configure_optimizers() and returns: list,  list