Merge pull request #793 from IAHispano/formatter/main

chore(format): run black on main

rvc/train/train.py

@@ -492,13 +492,15 @@ def run(
     # get the first sample as reference for tensorboard evaluation
     for info in train_loader:
         phone, phone_lengths, pitch, pitchf, _, _, _, _, sid = info
-        reference = (phone.to(device), 
-                     phone_lengths.to(device),
-                     pitch.to(device) if pitch_guidance else None,
-                     pitchf.to(device) if pitch_guidance else None,
-                     sid.to(device))
+        reference = (
+            phone.to(device),
+            phone_lengths.to(device),
+            pitch.to(device) if pitch_guidance else None,
+            pitchf.to(device) if pitch_guidance else None,
+            sid.to(device),
+        )
         break
-  
+
     for epoch in range(epoch_str, total_epoch + 1):
         if rank == 0:
             train_and_evaluate(
@@ -514,7 +516,7 @@ def run(
                 custom_save_every_weights,
                 custom_total_epoch,
                 device,
-                reference
+                reference,
             )
         else:
             train_and_evaluate(
@@ -791,10 +793,10 @@ def train_and_evaluate(
                         ),
                         "all/mel": plot_spectrogram_to_numpy(mel[0].data.cpu().numpy()),
                     }
-                  
+
                     with torch.no_grad():
                         o, *_ = net_g.infer(*reference)
-                    audio_dict = {f"gen/audio_{global_step:07d}": o[0, :, : ]}
+                    audio_dict = {f"gen/audio_{global_step:07d}": o[0, :, :]}
 
                     summarize(
                         writer=writer,