code: def init_processes(local_rank, args):
      if args.dist == "deepspeed":
          init_deepspeed_comm(args.backend)
      elif args.dist == "torch":
          init_torch_distributed(args.backend)
      else:
          print_rank_0(
              f"distributed framework {args.dist} not supported"
          )
          exit(0)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/benchmarks/communication/utils.py
imports: import torch
  import os
  import math
  import argparse
  from benchmarks.communication.constants import *
label_desc: Use image node_id 3 for calling a global function with example usage: init_processes(local_rank, args) without return types