code: def forward(self, x):
      return self.net4(self.net3(self.net2(self.net1(x))))
  
imports: import shutil
  import tempfile
  from functools import wraps
  from typing import Any, Callable, Dict, Optional, Tuple
  import torch
  import torch.distributed
  import torch.distributed.checkpoint
  import torch.nn
  from torch.distributed.checkpoint._fsspec_filesystem import FsspecReader, FsspecWriter
  from torch.distributed.checkpoint.optimizer import load_sharded_optimizer_state_dict
  from torch.distributed.fsdp import FullyShardedDataParallel
  from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType
  from torch.testing._internal.common_distributed import requires_nccl, skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import run_tests, TestCase
  from torch.testing._internal.distributed._shard.sharded_tensor import ShardedTensorTestBase, with_comms
label_desc: Use image node_id 2 for calling the MyTestModule obj's underlying member method code with example usage: obj.forward(x) and returns: self