code: def test_prepare_no_strategy(self) -> None:
      module = torch.nn.Linear(2, 2)  # initialize on cpu
      device = init_from_env()  # should be cuda device
      module = prepare_module(module, device, strategy=None)
      self.assertEqual(next(module.parameters()).device, device)
  
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 1 for calling the PrepareModelTest obj's underlying member method code with example usage: obj.test_prepare_no_strategy() without return types