Update save_dir rank check (#114)

Co-authored-by: Laughing-q <1185102784@qq.com>

ultralytics/yolo/engine/trainer.py

@@ -49,9 +49,12 @@ class BaseTrainer:
         # dirs
         project = self.args.project or f"runs/{self.args.task}"
         name = self.args.name or f"{self.args.mode}"
-        self.save_dir = increment_path(Path(project) / name, exist_ok=self.args.exist_ok if RANK == -1 else True)
+        self.save_dir = increment_path(Path(project) / name, exist_ok=self.args.exist_ok if RANK in {-1, 0} else True)
         self.wdir = self.save_dir / 'weights'  # weights dir
+        if RANK in {-1, 0}:
             self.wdir.mkdir(parents=True, exist_ok=True)  # make dir
+            # Save run settings
+            save_yaml(self.save_dir / 'args.yaml', OmegaConf.to_container(self.args, resolve=True))
         self.last, self.best = self.wdir / 'last.pt', self.wdir / 'best.pt'  # checkpoint paths
 
         self.batch_size = self.args.batch_size
@@ -60,9 +63,6 @@ class BaseTrainer:
         if RANK == -1:
             print_args(dict(self.args))
 
-        # Save run settings
-        save_yaml(self.save_dir / 'args.yaml', OmegaConf.to_container(self.args, resolve=True))
-
         # device
         self.device = utils.torch_utils.select_device(self.args.device, self.batch_size)
         self.amp = self.device.type != 'cpu'

ultralytics/yolo/engine/validator.py

@@ -35,7 +35,7 @@ class BaseValidator:
         project = self.args.project or f"runs/{self.args.task}"
         name = self.args.name or f"{self.args.mode}"
         self.save_dir = save_dir or increment_path(Path(project) / name,
-                                                   exist_ok=self.args.exist_ok if RANK == -1 else True)
+                                                   exist_ok=self.args.exist_ok if RANK in {-1, 0} else True)
         (self.save_dir / 'labels' if self.args.save_txt else self.save_dir).mkdir(parents=True, exist_ok=True)
 
     @smart_inference_mode()