code: def train_with_args(args):
      if args.cfg is None:
          raise RuntimeError(
              "No configuration file has been specified."
          )
      cfg = Config(
          args.cfg,
          learning_rate=args.learning_rate,
          iters=args.iters,
          batch_size=args.batch_size,
          opts=args.opts,
      )
      builder = make_default_builder(cfg)
  
      utils.show_env_info()
      utils.show_cfg_info(cfg)
      utils.set_seed(args.seed)
      utils.set_device(args.device)
      utils.set_cv2_num_threads(args.num_workers)
  
      model = utils.convert_sync_batchnorm(builder.model, args.device)
  
      train_dataset = builder.train_dataset
      val_dataset = builder.val_dataset if args.do_eval else None
      losses = builder.loss
      optimizer = builder.optimizer
      postprocessor = builder.postprocessor
      runner = builder.runner
  
      try:
          train(
              model,
              train_dataset,
              val_dataset=val_dataset,
              optimizer=optimizer,
              postprocessor=postprocessor,
              runner=runner,
              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,
              eval_sem=args.eval_sem,
              eval_ins=args.eval_ins,
              precision=args.precision,
              amp_level=args.amp_level,
              profiler_options=args.profiler_options,
              to_static_training=cfg.to_static_training,
          )
      except BaseException as e:
          if args.debug:
              import traceback
  
              logger.error(traceback.format_exc())
              import sys
              import pdb
  
              pdb.post_mortem(sys.exc_info()[2])
              exit(1)
          else:
              raise
  
imports: import argparse
  from paddleseg.utils import logger, utils
  from paddlepanseg.core import train
  from paddlepanseg.cvlibs import Config, make_default_builder
label_desc: Use image node_id 2 for calling a global function with example usage: train_with_args(args) without return types