code: def test_detach(self):
      device_mesh = DeviceMesh(
          self.device_type, list(range(self.world_size))
      )
      shard_spec = [Shard(0)]
  
      tensor_to_detach = torch.randn(12, 8, requires_grad=True)
      mat = distribute_tensor(tensor_to_detach, device_mesh, shard_spec)
      detached_mat = mat.detach()
      self.assertFalse(detached_mat is mat)
  
imports: import torch
  from torch.distributed._tensor import DeviceMesh, distribute_tensor, DTensor
  from torch.distributed._tensor.placement_types import _Partial, Replicate, Shard
  from torch.testing._internal.common_utils import run_tests
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorConverter, DTensorTestBase, with_comms
label_desc: Use image node_id 2 for calling the DistTensorOpsTest obj's underlying member method code with example usage: obj.test_detach() without return types