code: def _test_is_fsdp_module() -> None:
      model = torch.nn.Linear(1, 1)
      assert not _is_fsdp_module(model)
      model = FSDP(torch.nn.Linear(1, 1))
      assert _is_fsdp_module(model)
      model = torch.nn.Linear(1, 1)
      if is_torch_version_geq_2_0():
          fully_shard(model)
          assert _is_fsdp_module(model)
  
imports: import unittest
  from unittest.mock import patch
  import torch
  from torch.distributed.fsdp import FullyShardedDataParallel
  from torch.distributed.fsdp.fully_sharded_data_parallel import MixedPrecision
  from torch.nn.parallel import DistributedDataParallel
  from torchtnt.utils.env import init_from_env
  from torchtnt.utils.prepare_module import _is_fsdp_module, DDPStrategy, FSDPStrategy, NOOPStrategy, prepare_ddp, prepare_fsdp, prepare_module, TorchCompileParams
  from torchtnt.utils.test_utils import spawn_multi_process
  from torchtnt.utils.version import is_torch_version_geq_1_13, is_torch_version_geq_2_0
label_desc: Use image node_id 9 for calling the PrepareModelTest obj's underlying member method code with example usage: obj._test_is_fsdp_module() without return types