[Fix] Fix accepting an unexpected argument local-rank in PyTorch 2.0 (open-mmlab#2813)

Author: xiexinch

tools/test.py

@@ -97,7 +97,10 @@ def parse_args():
         type=float,
         default=0.5,
         help='Opacity of painted segmentation map. In (0, 1] range.')
-    parser.add_argument('--local_rank', type=int, default=0)
+    # 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)

tools/train.py

@@ -86,7 +86,10 @@ def parse_args():
         choices=['none', 'pytorch', 'slurm', 'mpi'],
         default='none',
         help='job launcher')
-    parser.add_argument('--local_rank', type=int, default=0)
+    # 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)
     parser.add_argument(
         '--auto-resume',
         action='store_true',