code: def dist_monitored_barrier(
      timeout: Optional[float] = None,
      wait_all_ranks: Optional[bool] = False,
      group: Optional = None,
  ):
      dist.monitored_barrier(
          group=group, timeout=timeout, wait_all_ranks=wait_all_ranks
      )
  
file_path: ml-cvnets/utils/ddp_utils.py
imports: import socket
  from typing import Optional
  import torch
  import torch.distributed
  from utils import logger
label_desc: Use image node_id 3 for calling a global function with example usage: dist_monitored_barrier(timeout, wait_all_ranks, group) without return types