code: def torch_distributed_zero_first(local_rank: int):
      """
      Decorator to make all processes in distributed training wait for each local_master to do something.
      """
      if local_rank not in [-1, 0]:
          torch.distributed.barrier()
      yield
      if local_rank == 0:
          torch.distributed.barrier()
  
imports: from collections import defaultdict, deque
  import datetime
  import pickle
  import time
  import errno
  import os
  from contextlib import contextmanager
  import torch
  import torch.distributed
label_desc: Use image node_id 12 for calling a global function with example usage: torch_distributed_zero_first(local_rank) without return types