code: def __init__(self):
      super().__init__()
      # create a model which re-uses a module (conv_module in this case)
      conv_module = nn.Conv2d(3, 3, (2, 2), bias=False)
      self.seq_1 = nn.Sequential(conv_module)
      self.seq_2 = nn.Sequential(conv_module)
  
imports: import unittest
  import torch
  import torch.nn
  from classy_vision.generic.profiler import compute_activations, compute_flops, count_params, get_shape
  from classy_vision.models import build_model
  from test.generic.config_utils import get_test_model_configs
label_desc: Use image node_id 1 to create a new TestModel2 object from inherited base classes: nn with example: obj = TestModel2()