code: def test_sharded_tensor_reshard(self):
      dims = [0, 1]
      for sharding_dim, reshard_dim in product(dims, dims):
          specs = _chunk_sharding_specs_list_for_test(
              [sharding_dim, reshard_dim], seed=5
          )
          spec, reshard_spec = specs[0], specs[1]
          self._run_sharded_tensor_reshard(spec, reshard_spec, [13, 21])
          self._run_sharded_tensor_reshard(spec, reshard_spec, [14, 23])
          self._run_sharded_tensor_reshard(spec, reshard_spec, [15, 26])
          self._run_sharded_tensor_reshard(spec, reshard_spec, [12, 24])
  
file_path: pytorch/test/distributed/_shard/sharded_tensor/test_sharded_tensor_reshard.py
imports: import sys
  from itertools import product
  import torch
  from torch.distributed._shard import sharded_tensor, _shard_tensor
  from torch.distributed._shard.sharding_spec import EnumerableShardingSpec, ShardMetadata
  from torch.testing._internal.common_distributed import requires_nccl, skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import TEST_WITH_DEV_DBG_ASAN, run_tests
  from torch.testing._internal.distributed._shard.sharded_tensor import ShardedTensorTestBase, with_comms
  from torch.testing._internal.distributed._shard.sharded_tensor._test_st_common import _chunk_sharding_specs_list_for_test
label_desc: Use image node_id 2 for calling the TestReshard obj's underlying member method code with example usage: obj.test_sharded_tensor_reshard() without return types