tweak metric

losses.py

@@ -43,16 +43,17 @@ def preservation_loss(inputs, outputs, target_inputs=None, target_outputs=None):
     transformed_norm = circle_norm(outputs, target_outputs) * 2
 
     diff = torch.pow(rgb_norm - transformed_norm, 2)
-    N = len(outputs)
-    N = (N * (N - 1)) / 2
-    # N = torch.count_nonzero(rgb_norm)
+    # N = len(outputs)
+    # N = (N * (N - 1)) / 2
+    N = torch.count_nonzero(rgb_norm)
     return torch.sum(diff) / N
 
 
 def circle_norm(vector, other_vector):
     # Assumes vectors are of shape (N,1)
-    loss_a = torch.triu(torch.abs((vector - other_vector.T)))
-    loss_b = torch.triu(1 - torch.abs((vector - other_vector.T)))
+    diff = vector - other_vector.T
+    loss_a = torch.triu(torch.abs(diff))
+    loss_b = torch.triu(torch.abs(1 - torch.abs(diff)))
     loss = torch.minimum(loss_a, loss_b)
     return loss