code: def __init__(self) -> None:
      super().__init__()
      self.linear0 = torch.nn.Linear(6, 8)
      self.linear1 = torch.nn.Linear(8, 8)
      self.linear2 = torch.nn.Linear(10, 8)
      self.linear3 = torch.nn.Linear(6, 8)
      self.linear4 = torch.nn.Linear(8, 8)
      self.linear5 = torch.nn.Linear(10, 8)
      self.bn0 = torch.nn.BatchNorm1d(8)
      self.bn1 = torch.nn.BatchNorm1d(8)
      self.bn2 = torch.nn.BatchNorm1d(8)
  
imports: import functools
  import unittest
  import torch
  import torch._inductor
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._dynamo.utils import counters
  from torch.testing._internal.inductor_utils import HAS_CUDA
label_desc: Use image node_id 1 to create a new MyModule2 object from inherited base classes: torch.nn with example: obj = MyModule2()