code: def test_get_module(self):
      net = UNet(
          spatial_dims=2,
          in_channels=1,
          out_channels=1,
          channels=(4, 8, 16, 32, 64),
          strides=(2, 2, 2, 2),
      )
      self.assertEqual(look_up_named_module("", net), net)
      mod = look_up_named_module(
          "model.1.submodule.1.submodule.1.submodule.0.conv", net
      )
      self.assertTrue(str(mod).startswith("Conv2d"))
      self.assertIsInstance(
          set_named_module(net, "model", torch.nn.Identity()).model,
          torch.nn.Identity,
      )
      self.assertEqual(
          look_up_named_module(
              "model.1.submodule.1.submodule.1.submodule.conv", net
          ),
          None,
      )
      self.assertEqual(
          look_up_named_module("test attribute", net), None
      )
  
file_path: MONAI/tests/test_torchvision_fc_model.py
imports: from __future__ import annotations
  import unittest
  from unittest import skipUnless
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.nets import TorchVisionFCModel, UNet
  from monai.networks.utils import look_up_named_module, set_named_module
  from monai.utils import min_version, optional_import
  from tests.utils import skip_if_downloading_fails
label_desc: Use image node_id 1 for calling the TestLookup obj's underlying member method code with example usage: obj.test_get_module() without return types