code: def test_set_requires_grad(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))
      local_shards = st.local_shards()
      # before set requires_grad, all local shards should not require grads
      for local_shard in local_shards:
          self.assertFalse(local_shard.tensor.requires_grad)
  
      st.requires_grad_()
      self.assertTrue(st.requires_grad)
  
      for local_shard in local_shards:
          self.assertTrue(local_shard.tensor.requires_grad)
  
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 5 for calling the TestTensorOps obj's underlying member method code with example usage: obj.test_set_requires_grad() without return types