Merge pull request #908 from IAHispano/formatter/main

chore(format): run black on main

rvc/train/losses.py

@@ -23,7 +23,7 @@ def discriminator_loss(disc_real_outputs, disc_generated_outputs):
     Args:
         disc_real_outputs (list of torch.Tensor): List of discriminator outputs for real samples.
         disc_generated_outputs (list of torch.Tensor): List of discriminator outputs for generated samples.
-    """    
+    """
     r_losses = [(1 - dr).pow(2).mean() for dr in disc_real_outputs]
     g_losses = [dg.pow(2).mean() for dg in disc_generated_outputs]
     loss = sum(r_losses) + sum(g_losses)
@@ -36,7 +36,7 @@ def generator_loss(disc_outputs):
 
     Args:
         disc_outputs (list of torch.Tensor): List of discriminator outputs for generated samples.
-    """    
+    """
     gen_losses = [(1 - dg).pow(2).mean() for dg in disc_outputs]
     loss = sum(gen_losses)
     return loss, gen_losses
@@ -64,7 +64,7 @@ def discriminator_loss_scaled(disc_real, disc_fake, scale=1.0):
     return loss, None, None
 
 
-def generator_loss_scaled(disc_outputs, scale=1.0):    
+def generator_loss_scaled(disc_outputs, scale=1.0):
     """
     Compute the scaled generator loss based on discriminator outputs.