code: def __init__(self, device):
      super().__init__()
      self.net1 = torch.nn.Linear(5, 1024, device=device)
      self.relu = torch.nn.ReLU()
      self.net2 = torch.nn.Linear(1024, 4, device=device)
  
imports: import torch
  import torch.nn.functional
  from numpy.testing import assert_array_equal
  from torch.distributed._functional_collectives import AsyncCollectiveTensor
  from torch.distributed._tensor import DeviceMesh, distribute_tensor, DTensor, init_device_mesh
  from torch.distributed._tensor.placement_types import _Partial, Replicate, Shard
  from torch.distributed.tensor.parallel import ColwiseParallel, parallelize_module, RowwiseParallel
  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 DummyMLP object from inherited base classes: torch.nn with example: obj = DummyMLP(device)