code: def test_dispatch_pytorch(self):
      from bigdl.nano.pytorch import patch_torch, unpatch_torch
  
      patch_torch()
      import pytorch_lightning
      import bigdl.nano.pytorch
      import torchvision
  
      assert issubclass(
          pytorch_lightning.Trainer, bigdl.nano.pytorch.Trainer
      )
      assert torchvision.datasets is bigdl.nano.pytorch.vision.datasets
      assert (
          torchvision.transforms is bigdl.nano.pytorch.vision.transforms
      )
  
      unpatch_torch()
      assert not issubclass(
          pytorch_lightning.Trainer, bigdl.nano.pytorch.Trainer
      )
      assert (
          not torchvision.datasets is bigdl.nano.pytorch.vision.datasets
      )
      assert (
          not torchvision.transforms
          is bigdl.nano.pytorch.vision.transforms
      )
  
file_path: BigDL/python/nano/test/pytorch/tests/test_dispatcher.py
imports: from unittest import TestCase
  import tempfile
  import os
  import pytest
  import torch
  from bigdl.nano.utils.common import invalidOperationError
  from bigdl.nano.utils.pytorch import TORCH_VERSION_LESS_1_10
label_desc: Use image node_id 1 for calling the TestDispatcherPytorch obj's underlying member method code with example usage: obj.test_dispatch_pytorch() without return types