code: def test_deep_copy(self):
      spec = ChunkShardingSpec(
          dim=0,
          placements=[
              "rank:0/cuda:0",
              "rank:1/cuda:1",
              "rank:2/cuda:2",
              "rank:3/cuda:3",
          ],
      )
      st = sharded_tensor.rand(spec, (12, 5))
      copied_st = copy.deepcopy(st)
      self.assertTrue(type(copied_st) is type(st))
      self.assertEqual(copied_st.local_tensor(), st.local_tensor())
      self.assertFalse(copied_st is st)
  
file_path: pytorch/test/distributed/_shard/sharded_tensor/ops/test_tensor_ops.py
imports: import copy
  import torch
  import torch.distributed._shard.sharded_tensor
  from torch.distributed._shard.sharding_spec import ChunkShardingSpec
  from torch.testing._internal.common_distributed import requires_nccl, skip_if_lt_x_gpu
  from torch.testing._internal.distributed._shard.sharded_tensor import TEST_GPU_NUM, ShardedTensorTestBase, with_comms
  from torch.testing._internal.common_utils import run_tests
label_desc: Use image node_id 1 for calling the TestTensorOps obj's underlying member method code with example usage: obj.test_deep_copy() without return types