code: def configure_optimizers(self):
      optimizer = torch.optim.Adam(self.parameters(), lr=1e-3)
      return optimizer
  
file_path: pytorch-lightning/docs/source-app/code_samples/convert_pl_to_app/train.py
imports: import os
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.utils.data import DataLoader, random_split
  from torchvision import transforms
  from torchvision.datasets import MNIST
  import lightning.pytorch
label_desc: Use image node_id 4 for calling the LitAutoEncoder obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optimizer