code: def configure_optimizers(self):
      return torch.optim.SGD(self.layer.parameters(), lr=0.1)
  
imports: import os
  import re
  import pytest
  import pytorch_lightning
  import torch
  from pytorch_lightning import LightningModule, Trainer
  from pytorch_lightning.callbacks import ModelCheckpoint
  from pytorch_lightning.loggers.neptune import NeptuneLogger
  from torch.utils.data import DataLoader, Dataset
  import neptune
  from tests.e2e.base import BaseE2ETest
label_desc: Use image node_id 6 for calling the BoringModel obj's underlying member method code with example usage: obj.configure_optimizers() and returns: torch