Fix a bug related to MPS

Author: sadra-barikbin

ignite/metrics/vision/object_detection_average_precision_recall.py

@@ -104,19 +104,13 @@ def box_iou(pred_boxes: torch.Tensor, gt_boxes: torch.Tensor, iscrowd: torch.Boo
         except ImportError:
             raise ModuleNotFoundError("This metric requires torchvision to be installed.")
 
-        precision = torch.double if torch.device(device) != torch.device("mps") else torch.float32
-
         if iou_thresholds is None:
-            iou_thresholds = torch.linspace(0.5, 0.95, 10, device=device, dtype=precision)
+            iou_thresholds = torch.linspace(0.5, 0.95, 10, dtype=torch.double)
 
         self._iou_thresholds = self._setup_thresholds(iou_thresholds, "iou_thresholds")
-        self._iou_thresholds = self._iou_thresholds.to(device=device, dtype=precision)
 
         if rec_thresholds is None:
-            rec_thresholds = torch.linspace(0, 1, 101, device=device, dtype=precision)
-
-        self._rec_thresholds = self._setup_thresholds(rec_thresholds, "rec_thresholds")
-        self._rec_thresholds = self._rec_thresholds.to(device=device, dtype=precision)
+            rec_thresholds = torch.linspace(0, 1, 101, dtype=torch.double)
 
         self._num_classes = num_classes
         self._area_range = area_range
@@ -130,6 +124,8 @@ def box_iou(pred_boxes: torch.Tensor, gt_boxes: torch.Tensor, iscrowd: torch.Boo
             rec_thresholds=rec_thresholds,
             class_mean=None,
         )
+        precision = torch.double if torch.device(device) != torch.device("mps") else torch.float32
+        self.rec_thresholds = self.rec_thresholds.to(device=device, dtype=precision)
 
     @reinit__is_reduced
     def reset(self) -> None: