code: def permute_tensor(
      self: torch.Tensor,
      src_dst: List[int],
      group: RANK_TYPES,
      tag: str = "",
  ) -> torch.Tensor:
      """
      Permutes the elements of the tensor according to the given source/destination pairs. `src_dst` should
      be defined such that src_dst[m] == n means m sends to n.
  
      Group can be one of:
          List[int]: ranks participating in the collective.
          List[List[int]]: 2D mesh of ranks taking part of this collective in MPMD.
          ProcessGroup: Will perform a collective using the ranks and tag of the PG.
          DeviceMesh: Do a SPMD collective over all ranks of the mesh
          (DeviceMesh, int): Do a MPMD collective over one
      """
      t, rankset, group_size = _expand_group(group, tag)
      local_pg = c10d._find_or_create_pg_by_ranks_and_tag(
          t, rankset, group_size
      )
  
      output_split_sizes = [0] * group_size
      input_split_sizes = [0] * group_size
      for src, dst in enumerate(src_dst):
          if src == dist.get_rank(local_pg):
              input_split_sizes[dst] = self.numel()
          if dst == dist.get_rank(local_pg):
              output_split_sizes[src] = self.numel()
  
      return all_to_all_single(
          self, output_split_sizes, input_split_sizes, group, tag
      )
  
imports: import sys
  import warnings
  from typing import cast, List, Optional, Tuple, TYPE_CHECKING, Union
  import torch
  import torch.distributed
  import torch.distributed.distributed_c10d
  from torch._custom_ops import impl_abstract
  from torch.distributed.device_mesh import DeviceMesh
  from torch.fx.experimental.proxy_tensor import get_innermost_proxy_mode
  from .None import _functional_collectives_impl
  from ._functional_collectives_impl import _register_tensor_wrapper
  from torch.distributed.distributed_c10d import all_gather_into_tensor, all_reduce, reduce_scatter_tensor
label_desc: Use image node_id 11 for calling a global function with example usage: permute_tensor(src_dst, group, tag) and returns: all_to_all_single