code: def parse_args():
      parser = argparse.ArgumentParser(description="Train a detector")
      parser.add_argument("config", help="train config file path")
      parser.add_argument(
          "--work-dir", help="the dir to save logs and models"
      )
      parser.add_argument(
          "--amp",
          action="store_true",
          default=False,
          help="enable automatic-mixed-precision training",
      )
      parser.add_argument(
          "--auto-scale-lr",
          action="store_true",
          help="enable automatically scaling LR.",
      )
      parser.add_argument(
          "--resume",
          nargs="?",
          type=str,
          const="auto",
          help="If specify checkpoint path, resume from it, while if not "
          "specify, try to auto resume from the latest checkpoint "
          "in the work directory.",
      )
      parser.add_argument(
          "--cfg-options",
          nargs="+",
          action=DictAction,
          help="override some settings in the used config, the key-value pair "
          "in xxx=yyy format will be merged into config file. If the value to "
          'be overwritten is a list, it should be like key="[a,b]" or key=a,b '
          'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" '
          "Note that the quotation marks are necessary and that no white space "
          "is allowed.",
      )
      parser.add_argument(
          "--launcher",
          choices=["none", "pytorch", "slurm", "mpi"],
          default="none",
          help="job launcher",
      )
      # When using PyTorch version >= 2.0.0, the `torch.distributed.launch`
      # will pass the `--local-rank` parameter to `tools/train.py` instead
      # of `--local_rank`.
      parser.add_argument(
          "--local_rank", "--local-rank", type=int, default=0
      )
      args = parser.parse_args()
      if "LOCAL_RANK" not in os.environ:
          os.environ["LOCAL_RANK"] = str(args.local_rank)
  
      return args
  
file_path: mmdetection/tools/train.py
imports: import argparse
  import os
  import os.path
  from mmengine.config import Config, DictAction
  from mmengine.registry import RUNNERS
  from mmengine.runner import Runner
  from mmdet.utils import setup_cache_size_limit_of_dynamo
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args