code: def _test_ddp_gather_uneven_tensors_multidim() -> None:
      dist.init_process_group("gloo")
      rank = dist.get_rank()
      world_size = dist.get_world_size()
      tensor = torch.ones(rank + 1, 4 - rank)
      result = all_gather_tensors(tensor)
      assert len(result) == world_size
      for idx in range(world_size):
          val = result[idx]
          assert val.shape == (idx + 1, 4 - idx)
          assert (val == torch.ones_like(val)).all()
  
imports: import os
  import unittest
  from typing import Literal, Optional, Union
  from unittest.mock import MagicMock, patch
  from urllib.parse import parse_qs, urlparse
  import torch
  import torch.distributed
  import torch.distributed.launcher
  from pyre_extensions import none_throws
  from torchtnt.utils.distributed import _validate_global_rank_world_size, all_gather_tensors, destroy_process_group, get_file_init_method, get_global_rank, get_local_rank, get_local_world_size, get_process_group_backend_from_device, get_tcp_init_method, get_world_size, PGWrapper, rank_zero_fn, revert_sync_batchnorm, sync_bool
  from torchtnt.utils.test_utils import get_pet_launch_config
label_desc: Use image node_id 17 for calling the DistributedTest obj's underlying member method code with example usage: obj._test_ddp_gather_uneven_tensors_multidim() without return types