code: def __init__(self):
      super().__init__()
      self.net1 = nn.Linear(8, 32)
      self.net2 = nn.Linear(32, 128)
      self.net3 = nn.Linear(128, 64)
      self.net4 = nn.Linear(64, 8)
      self.net5 = nn.Linear(8, 1)
  
imports: import os
  import shutil
  import traceback
  import torch
  import torch.distributed
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  from torch.distributed._tensor.device_mesh import init_device_mesh
  from torch.distributed.checkpoint.filesystem import _FileSystemCheckpointer
  from torch.distributed.checkpoint.state_dict import _patch_model_state_dict, _patch_optimizer_state_dict
  from torch.distributed.fsdp import FullyShardedDataParallel
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: torch.nn with example: obj = Model()