| 11 | |
| 12 | |
| 13 | def parse_args(): |
| 14 | parser = argparse.ArgumentParser(description='Train a 3D detector') |
| 15 | parser.add_argument('config', help='train config file path') |
| 16 | parser.add_argument('--work-dir', help='the dir to save logs and models') |
| 17 | parser.add_argument('--task-name', help='task names') |
| 18 | parser.add_argument('--amp', |
| 19 | action='store_true', |
| 20 | default=False, |
| 21 | help='enable automatic-mixed-precision training') |
| 22 | parser.add_argument('--auto-scale-lr', |
| 23 | action='store_true', |
| 24 | help='enable automatically scaling LR.') |
| 25 | parser.add_argument( |
| 26 | '--resume', |
| 27 | nargs='?', |
| 28 | type=str, |
| 29 | const='auto', |
| 30 | help='If specify checkpoint path, resume from it, while if not ' |
| 31 | 'specify, try to auto resume from the latest checkpoint ' |
| 32 | 'in the work directory.') |
| 33 | parser.add_argument('--ceph', |
| 34 | action='store_true', |
| 35 | help='Use ceph as data storage backend') |
| 36 | parser.add_argument( |
| 37 | '--cfg-options', |
| 38 | nargs='+', |
| 39 | action=DictAction, |
| 40 | help='override some settings in the used config, the key-value pair ' |
| 41 | 'in xxx=yyy format will be merged into config file. If the value to ' |
| 42 | 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' |
| 43 | 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' |
| 44 | 'Note that the quotation marks are necessary and that no white space ' |
| 45 | 'is allowed.') |
| 46 | parser.add_argument('--launcher', |
| 47 | choices=['none', 'pytorch', 'slurm', 'mpi'], |
| 48 | default='none', |
| 49 | help='job launcher') |
| 50 | # When using PyTorch version >= 2.0.0, the `torch.distributed.launch` |
| 51 | # will pass the `--local-rank` parameter to `tools/train.py` instead |
| 52 | # of `--local_rank`. |
| 53 | parser.add_argument('--local_rank', '--local-rank', type=int, default=0) |
| 54 | args = parser.parse_args() |
| 55 | if 'LOCAL_RANK' not in os.environ: |
| 56 | os.environ['LOCAL_RANK'] = str(args.local_rank) |
| 57 | return args |
| 58 | |
| 59 | |
| 60 | def main(): |