code: def forward(self, x):
      return self.model(x)
  
file_path: BigDL/python/nano/tutorial/training/pytorch-lightning/lightning_cv_data_pipeline.py
imports: import torch
  import torchvision
  from typing import Any
  from torch.utils.data.dataloader import DataLoader
  from torchvision.models import resnet18
  from bigdl.nano.pytorch import Trainer
  import pytorch_lightning
  from os.path import split, join, realpath
  import cv2
  from logging import warning
  import os
  from bigdl.nano.pytorch.vision.datasets import OxfordIIITPet
label_desc: Use image node_id 2 for calling the MyLightningModule obj's underlying member method code with example usage: obj.forward(x) and returns: self