code: def forward(self, x):
      return self.model(x)
  
imports: import os
  from unittest import TestCase
  import pytest
  import torch
  from torch.optim.lr_scheduler import OneCycleLR
  from test.pytorch.utils._train_torch_lightning import create_data_loader, data_transform
  from test.pytorch.utils._train_ipex_callback import CheckIPEXFusedStepCallback
  from torch import nn
  from bigdl.nano.pytorch import Trainer
  from bigdl.nano.pytorch.vision.models import vision
  from bigdl.nano.utils.pytorch import TORCH_VERSION_LESS_1_10, TORCH_VERSION_LESS_2_0
  from bigdl.nano.utils.common import _avx2_checker
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