code: def test_redistribute_negative_shard_dim(self):
      device_mesh = DeviceMesh(
          self.device_type, list(range(self.world_size))
      )
      local_tensor = torch.randn(
          12, 3, device=self.device_type, requires_grad=True
      )
      shard_spec = [Shard(1)]
      shard_minus_spec = [Shard(-1)]
  
      shard_tensor = distribute_tensor(
          local_tensor, device_mesh, shard_spec
      )
      self.assertEqual(shard_tensor.placements[0].dim, 1)
      reshard_tensor = shard_tensor.redistribute(
          device_mesh, shard_minus_spec
      )
      self.assertEqual(shard_tensor.placements[0].dim, 1)
  
file_path: pytorch/test/distributed/_tensor/test_redistribute.py
imports: import itertools
  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 DTensorTestBase, with_comms
label_desc: Use image node_id 7 for calling the RedistributeTest obj's underlying member method code with example usage: obj.test_redistribute_negative_shard_dim() without return types