def METHOD_NAME(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)