code: def setUp(self):
      test_dir = os.path.dirname(__file__)
      # project_test_dir = BigDL/python/nano
      project_test_dir = os.path.abspath(
          os.path.join(test_dir, "..", "..", "..", "..", "..")
      )
      os.environ["PYTHONPATH"] = project_test_dir
  
imports: import os
  import pytest
  from unittest import TestCase
  import torch
  import torchmetrics
  from torch import nn
  from bigdl.nano.pytorch.lightning import LightningModule
  from bigdl.nano.pytorch import Trainer
  from test.pytorch.utils._train_torch_lightning import create_data_loader, data_transform
  from test.pytorch.utils._train_torch_lightning import create_test_data_loader
  from test.pytorch.utils._train_ipex_callback import CheckIPEXCallback, CheckIPEXFusedStepCallback
  from test.pytorch.tests.train.trainer.test_lightning import ResNet18
  from bigdl.nano.utils.pytorch import TORCH_VERSION_LESS_2_0
  from bigdl.nano.utils.common import _avx2_checker
label_desc: Use image node_id 1 for calling the Plugin obj's underlying member method code with example usage: obj.setUp() without return types