circle norm bad for supervise?

model.py

@@ -58,8 +58,8 @@ class ColorTransformerModel(L.LightningModule):
         alpha = self.hparams.alpha
 
         # N = len(outputs)
-        distance = circle_norm(outputs, labels).mean()
-        # distance = torch.norm(outputs - labels).mean()
+        # distance = circle_norm(outputs, labels).mean()
+        distance = torch.norm(outputs - labels).mean()
 
         # Backprop with this:
         loss = (1 - alpha) * p_loss + alpha * distance