code: def test_fine_tuning(self) -> None:
      self.assertTrue(os.path.exists(self.temp_dir))
      pretrain_dir = os.path.join(self.temp_dir, "pretrain")
      finetune_dir = os.path.join(self.temp_dir, "finetune")
      print(pretrain_dir, finetune_dir)
      if self.rank == 0:
          os.mkdir(pretrain_dir)
          os.mkdir(finetune_dir)
      dist.barrier()
      os.sync()
      self.assertTrue(os.path.exists(pretrain_dir))
      self.assertTrue(os.path.exists(finetune_dir))
  
      self.pretrain(pretrain_dir)
      self.finetune(pretrain_dir, finetune_dir)
  
imports: import os
  import sys
  import torch
  import torch.distributed
  import torch.distributed.checkpoint
  import torch.nn
  from torch.distributed._tensor import init_device_mesh
  from torch.distributed.checkpoint.state_dict import get_state_dict, set_state_dict, StateDictOptions
  from torch.distributed.fsdp import FullyShardedDataParallel
  from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import run_tests, TEST_WITH_DEV_DBG_ASAN
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase, with_comms
  from torch.testing._internal.distributed.checkpoint_utils import with_temp_dir
label_desc: Use image node_id 5 for calling the TestFineTuning obj's underlying member method code with example usage: obj.test_fine_tuning() without return types