code: def __init__(self):
      super().__init__()
      self.net1 = nn.Linear(50, 32)
      self.relu = nn.ReLU()
      self.net2 = nn.Linear(32, 8)
  
file_path: pytorch/test/distributed/_tensor/debug/test_op_coverage.py
imports: import torch
  import torch.nn
  from torch.distributed._tensor.debug.op_coverage import get_inductor_decomp_graphs
  from torch.testing._internal.common_utils import run_tests, TestCase
label_desc: Use image node_id 1 to create a new SimpleMLP object from inherited base classes: nn with example: obj = SimpleMLP()