code: def main():
      paddle.set_device("cpu")
      FLAGS = parse_args()
      cfg = load_config(FLAGS.config)
      merge_config(FLAGS.opt)
  
      if FLAGS.slim_config:
          cfg = build_slim_model(cfg, FLAGS.slim_config, mode="test")
  
      # FIXME: Temporarily solve the priority problem of FLAGS.opt
      merge_config(FLAGS.opt)
      check_config(cfg)
      if "use_gpu" not in cfg:
          cfg.use_gpu = False
      check_gpu(cfg.use_gpu)
      check_version()
  
      run(FLAGS, cfg)
  
file_path: PaddleDetection/tools/export_model.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import warnings
  import paddle
  from ppdet.core.workspace import load_config, merge_config
  from ppdet.utils.check import check_gpu, check_version, check_config
  from ppdet.utils.cli import ArgsParser
  from ppdet.engine import Trainer
  from ppdet.engine.trainer_ssod import Trainer_ARSL
  from ppdet.slim import build_slim_model
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types