code: def __init__(self):
      super().__init__()
      self.fc = nn.Linear(10, 10)
      self.bn = nn.BatchNorm1d(10)
  
imports: import copy
  import math
  import unittest
  import unittest.mock
  import torch
  import torch.nn
  from classy_vision.hooks import ExponentialMovingAverageModelHook
  from classy_vision.models import ClassyModel
  from test.generic.hook_test_utils import HookTestBase
label_desc: Use image node_id 1 to create a new TestModel object from inherited base classes: ClassyModel with example: obj = TestModel()