code: def __init__(self):
      super().__init__()
      self.net1 = nn.Linear(50, 32)
      self.relu = nn.ReLU()
      self.net2 = nn.Linear(32, 8)
  
imports: from copy import deepcopy
  import torch
  import torch.nn
  from torch.distributed._spmd.api import compile
  from torch.distributed._spmd.parallel_mode import DataParallel
  from torch.distributed._tensor import Replicate
  from torch.nn.parallel import DistributedDataParallel
  from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import run_tests
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase, with_comms
label_desc: Use image node_id 1 to create a new SimpleMLP object from inherited base classes: nn with example: obj = SimpleMLP()