code: def test_read_write_shard_tensor(self) -> None:
      paths = [tempfile.mkdtemp()]
      dist.broadcast_object_list(paths)
  
      path = paths[0]
  
      # pyre-fixme [28]: Unexpected keyword argument `dim` to call `dist._sharding_spec.api.ChunkShardingSpec.__init__`.
      spec = ChunkShardingSpec(
          dim=0,
          placements=[
              "rank:0/cuda:0",
              "rank:1/cuda:1",
          ],
      )
  
      model_to_save = MyShardedModel1(spec, init_rrefs=False)
  
      # Test save
      model_to_save._register_state_dict_hook(state_dict_hook)
      state_dict_to_save = model_to_save.state_dict()
  
      fs_writer = FileSystemWriter(path=path)
      save_state_dict(
          state_dict=state_dict_to_save, storage_writer=fs_writer
      )
  
      dist.barrier()
  
      # Create a new model
      model_to_load = MyShardedModel1(spec, init_rrefs=False)
      # This is not the correct hook for loading the state dict
      # model_to_load._register_load_state_dict_pre_hook(pre_load_state_dict_hook, True)
      model_to_load._register_state_dict_hook(state_dict_hook)
      state_dict_to_load_to = model_to_load.state_dict()
  
      dist.barrier()
  
      with self.assertRaises(AssertionError):
          assert_state_dict_equal(
              self, state_dict_to_load_to, state_dict_to_save
          )
  
      # Test load.
      fs_reader = FileSystemReader(path=path)
      load_state_dict(
          state_dict=state_dict_to_load_to, storage_reader=fs_reader
      )
  
      assert_state_dict_equal(
          self, state_dict_to_load_to, state_dict_to_save
      )
      dist.barrier()
  
imports: import os
  import shutil
  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_distributed import requires_nccl, skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import 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 2 for calling the TestDistributedStateDictSaveLoadWithSharedTensor obj's underlying member method code with example usage: obj.test_read_write_shard_tensor() without return types