[libs.segmentation.models.losses] Use explicit version of super() to solve issues with Python-3.11

src/mednet/libs/segmentation/models/losses.py

@@ -121,7 +121,10 @@ class MultiWeightedBCELogitsLoss(WeightedBCELogitsLoss):
         """
 
         return torch.cat(
-            [super().forward(i, target).unsqueeze(0) for i in input_]
+            [
+                super(MultiWeightedBCELogitsLoss, self).forward(i, target).unsqueeze(0)
+                for i in input_
+            ]
         ).mean()
 
 
@@ -155,5 +158,10 @@ class MultiSoftJaccardBCELogitsLoss(SoftJaccardBCELogitsLoss):
         """
 
         return torch.cat(
-            [super().forward(i, target).unsqueeze(0) for i in input_]
+            [
+                super(MultiSoftJaccardBCELogitsLoss, self)
+                .forward(i, target)
+                .unsqueeze(0)
+                for i in input_
+            ]
         ).mean()