code: def forward(self, x):
      return self.model(x)
  
imports: import os
  import torch
  import torchmetrics
  from torch import nn
  from torchvision.datasets import CIFAR10
  from torch.utils.data import DataLoader
  import torchvision.transforms
  from torch.utils.data.sampler import SequentialSampler
  import pytorch_lightning
  from pytorch_lightning.callbacks import Callback
  from pytorch_lightning.utilities.types import STEP_OUTPUT
  from typing import Any
  from bigdl.nano.pytorch.lightning import LightningModule
  from bigdl.nano.pytorch import Trainer
  from bigdl.nano.pytorch.vision.models import vision
  from bigdl.nano.pytorch.algorithms.selective_backprop import SelectiveBackprop
label_desc: Use image node_id 2 for calling the ResNet18 obj's underlying member method code with example usage: obj.forward(x) and returns: self