code: def __init__(self):
      super().__init__()
      self.encoder = nn.Sequential(
          nn.Linear(28 * 28, 128), nn.ReLU(), nn.Linear(128, 3)
      )
      self.decoder = nn.Sequential(
          nn.Linear(3, 128), nn.ReLU(), nn.Linear(128, 28 * 28)
      )
  
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 1 to create a new LitAutoEncoder object from inherited base classes: pl with example: obj = LitAutoEncoder()