chore(format): run black on dev (#60)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

infer/lib/train/utils.py

@@ -445,7 +445,7 @@ class HParams:
 
     def values(self):
         return self.__dict__.values()
-    
+
     def copy(self):
         return deepcopy(self)
 

rvc/f0/fcpe.py

@@ -23,7 +23,9 @@ class FCPE(F0Predictor):
             device,
         )
 
-        from torchfcpe import spawn_bundled_infer_model  # must be imported at here, or it will cause fairseq crash on training
+        from torchfcpe import (
+            spawn_bundled_infer_model,
+        )  # must be imported at here, or it will cause fairseq crash on training
 
         self.model = spawn_bundled_infer_model(self.device)
 

web.py

@@ -72,6 +72,7 @@ if config.dml == True:
         return res
 
     import fairseq
+
     fairseq.modules.grad_multiply.GradMultiply.forward = forward_dml
 
 i18n = I18nAuto()