code: def parse_args():
      parser = argparse.ArgumentParser(description="Training")
  
      parser.add_argument(
          "--cfg-path",
          required=True,
          help="path to configuration file.",
      )
      parser.add_argument(
          "--options",
          nargs="+",
          help="override some settings in the used config, the key-value pair "
          "in xxx=yyy format will be merged into config file (deprecate), "
          "change to --cfg-options instead.",
      )
  
      args = parser.parse_args()
      # if 'LOCAL_RANK' not in os.environ:
      #     os.environ['LOCAL_RANK'] = str(args.local_rank)
  
      return args
  
imports: import argparse
  import os
  import random
  import numpy
  import torch
  import torch.backends.cudnn
  import lavis.tasks
  from lavis.common.config import Config
  from lavis.common.dist_utils import get_rank, init_distributed_mode
  from lavis.common.logger import setup_logger
  from lavis.common.optims import LinearWarmupCosineLRScheduler, LinearWarmupStepLRScheduler
  from lavis.common.registry import registry
  from lavis.common.utils import now
  from lavis.datasets.builders import *
  from lavis.models import *
  from lavis.processors import *
  from lavis.runners import *
  from lavis.tasks import *
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args