code: def test_save_load_bytes(self, thread_count) -> None:
      path = self.get_file_path()
  
      state_dict_to_save = {"bytes0": [1], "bytes1": "string"}
  
      fs_writer = FileSystemWriter(path=path, thread_count=thread_count)
      save_state_dict(
          state_dict=state_dict_to_save, storage_writer=fs_writer
      )
  
      state_dict_to_load = {"bytes0": [2], "bytes1": "other"}
  
      fs_reader = FileSystemReader(path=path)
      load_state_dict(
          state_dict=state_dict_to_load, storage_reader=fs_reader
      )
  
      self.assertEqual([1], state_dict_to_load["bytes0"])
      self.assertEqual("string", state_dict_to_load["bytes1"])
  
imports: import sys
  import tempfile
  from typing import Dict
  import torch
  import torch.distributed
  from torch.distributed._shard import sharded_tensor
  from torch.distributed._shard.sharded_tensor import ShardedTensor, state_dict_hook
  from torch.distributed._shard.sharding_spec import ChunkShardingSpec, EnumerableShardingSpec, ShardingSpec, ShardMetadata
  from torch.distributed.checkpoint import FileSystemReader, FileSystemWriter, load_state_dict, save_state_dict
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TEST_WITH_DEV_DBG_ASAN, TestCase
  from torch.testing._internal.distributed._shard.sharded_tensor import ShardedTensorTestBase, with_comms
  from torch.testing._internal.distributed._shard.sharded_tensor._test_st_common import MyShardedModel1
label_desc: Use image node_id 6 for calling the TestDistributedReshardOnLoad obj's underlying member method code with example usage: obj.test_save_load_bytes(thread_count) without return types