code: def reduce_across_processes(val):
      if not is_dist_avail_and_initialized():
          # nothing to sync, but we still convert to tensor for consistency with the distributed case.
          return torch.tensor(val)
  
      t = torch.tensor(val, device="cuda")
      dist.barrier()
      dist.all_reduce(t)
      return t
  
imports: import copy
  import datetime
  import errno
  import hashlib
  import os
  import time
  from collections import defaultdict, deque, OrderedDict
  from typing import List, Optional, Tuple
  import torch
  import torch.distributed
label_desc: Use image node_id 12 for calling a global function with example usage: reduce_across_processes(val) and returns: t, torch