code: def _simple_all_gather_tensors(
      result: Tensor,
      group: Optional[dist.ProcessGroup],
      world_size: int,
  ) -> List[Tensor]:
      stacked_result_sizes = [world_size] + list(result.size())
      gathered_result = list(
          torch.zeros(
              stacked_result_sizes,
              dtype=result.dtype,
              device=result.device,
          )
      )
      dist.all_gather(gathered_result, result, group)
      return gathered_result
  
imports: import os
  import tempfile
  from functools import wraps
  from typing import Any, Callable, cast, List, Optional, TypeVar, Union
  import torch
  import torch.distributed
  import torch.nn.functional
  from torch import Tensor
  from torch.distributed.elastic.utils.distributed import get_free_port
  from typing_extensions import Literal
label_desc: Use image node_id 11 for calling a global function with example usage: _simple_all_gather_tensors(result, group, world_size) and returns: gathered_result