code: def initialize():
      os.environ["MASTER_PORT"] = str(
          int(os.environ["MASTER_PORT"]) + 2333
      )
      args = get_args(pretrain=True)
      bmt.init_distributed(seed=args.seed)
      if args.save is not None:
          os.makedirs(args.save, exist_ok=True)
      return args
  
imports: import json
  import time
  from typing import Any, Dict, List, Union
  import torch
  import bmtrain
  import os
  from cpm_live.arguments import get_args
  from cpm_live.models import CPMBee, CPMBeeConfig
  from cpm_live.tokenizers import CPMBeeTokenizer
  from cpm_live.utils import allgather_objects, LogManager
  from cpm_live.training_tasks.bee import MixedDataset
label_desc: Use image node_id 6 for calling a global function with example usage: initialize() and returns: args