code: def main(args):
      env_info = get_sys_env()
      info = ["{}: {}".format(k, v) for k, v in env_info.items()]
      info = "\n".join(
          ["", format("Environment Information", "-^48s")]
          + info
          + ["-" * 48]
      )
      logger.info(info)
  
      place = (
          "gpu"
          if env_info["Paddle compiled with cuda"]
          and env_info["GPUs used"]
          else "cpu"
      )
  
      paddle.set_device(place)
      if not args.cfg:
          raise RuntimeError("No configuration file specified.")
  
      cfg = Config(
          args.cfg,
          learning_rate=args.learning_rate,
          iters=args.iters,
          batch_size=args.batch_size,
      )
  
      train_dataset = cfg.train_dataset
      if train_dataset is None:
          raise RuntimeError(
              "The training dataset is not specified in the configuration file."
          )
      elif len(train_dataset) == 0:
          raise ValueError(
              "The length of train_dataset is 0. Please check if your dataset is valid"
          )
      val_dataset = cfg.val_dataset if args.do_eval else None
      losses = cfg.loss
  
      msg = "\n---------------Config Information---------------\n"
      msg += str(cfg)
      msg += "------------------------------------------------"
      logger.info(msg)
  
      train(
          cfg.model,
          train_dataset,
          val_dataset=val_dataset,
          optimizer=cfg.optimizer,
          save_dir=args.save_dir,
          iters=cfg.iters,
          batch_size=cfg.batch_size,
          resume_model=args.resume_model,
          save_interval=args.save_interval,
          log_iters=args.log_iters,
          num_workers=args.num_workers,
          use_vdl=args.use_vdl,
          losses=losses,
          keep_checkpoint_max=args.keep_checkpoint_max,
          threshold=args.threshold,
          nms_kernel=args.nms_kernel,
          top_k=args.top_k,
      )
  
file_path: PaddleSeg/contrib/PanopticDeepLab/train.py
imports: import argparse
  import paddle
  from paddleseg.cvlibs import manager, Config
  from paddleseg.utils import get_sys_env, logger
  from core import train
  from datasets import CityscapesPanoptic
  from models import PanopticDeepLab
label_desc: Use image node_id 2 for calling a global function with example usage: main(args) without return types