auto updates (#6703)

Signed-off-by: monai-bot <monai.miccai2019@gmail.com>

Signed-off-by: monai-bot <monai.miccai2019@gmail.com>

Author: monai-bot

monai/apps/auto3dseg/bundle_gen.py

@@ -95,7 +95,7 @@ def __init__(self, template_path: PathLike):
             "n_devices": int(torch.cuda.device_count()),
             "NUM_NODES": int(os.environ.get("NUM_NODES", 1)),
             "MN_START_METHOD": os.environ.get("MN_START_METHOD", "bcprun"),
-            "CMD_PREFIX": os.environ.get("CMD_PREFIX", ""),  # type: ignore
+            "CMD_PREFIX": os.environ.get("CMD_PREFIX", ""),
         }
 
     def pre_check_skip_algo(self, skip_bundlegen: bool = False, skip_info: str = "") -> tuple[bool, str]:

monai/apps/auto3dseg/ensemble_builder.py

@@ -453,7 +453,7 @@ def __init__(
             "n_devices": torch.cuda.device_count(),
             "NUM_NODES": int(os.environ.get("NUM_NODES", 1)),
             "MN_START_METHOD": os.environ.get("MN_START_METHOD", "bcprun"),
-            "CMD_PREFIX": os.environ.get("CMD_PREFIX", ""),  # type: ignore
+            "CMD_PREFIX": os.environ.get("CMD_PREFIX", ""),
         }
 
     def set_ensemble_method(self, ensemble_method_name: str = "AlgoEnsembleBestByFold", **kwargs: Any) -> None:

monai/metrics/utils.py

@@ -190,7 +190,7 @@ def get_mask_edges(
     spatial_dims = len(spacing)
     conv = torch.nn.functional.conv3d if spatial_dims == 3 else torch.nn.functional.conv2d
     vol = torch.stack([seg_pred[None], seg_gt[None]], dim=0).float()  # type: ignore
-    code_pred, code_gt = conv(vol, k.to(vol))  # type: ignore
+    code_pred, code_gt = conv(vol, k.to(vol))
     # edges
     all_ones = len(code_to_area_table) - 1
     edges_pred = (code_pred != 0) & (code_pred != all_ones)