Format code (#1193)

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

tools/rvc_for_realtime.py

@@ -357,19 +357,13 @@ class RVC:
         with torch.no_grad():
             if self.if_f0 == 1:
                 # print(12222222222,feats.device,p_len.device,cache_pitch.device,cache_pitchf.device,sid.device,rate2)
-                infered_audio = (
-                    self.net_g.infer(
-                        feats, p_len, cache_pitch, cache_pitchf, sid, rate
-                    )[0][0, 0]
-                    .data
-                    .float()
-                )
+                infered_audio = self.net_g.infer(
+                    feats, p_len, cache_pitch, cache_pitchf, sid, rate
+                )[0][0, 0].data.float()
             else:
-                infered_audio = (
-                    self.net_g.infer(feats, p_len, sid, rate)[0][0, 0]
-                    .data
-                    .float()
-                )
+                infered_audio = self.net_g.infer(feats, p_len, sid, rate)[0][
+                    0, 0
+                ].data.float()
         t5 = ttime()
         logger.info(
             "Spent time: fea = %.2fs, index = %.2fs, f0 = %.2fs, model = %.2fs",

tools/torchgate/utils.py

@@ -3,7 +3,9 @@ from torch.types import Number
 
 
 @torch.no_grad()
-def amp_to_db(x: torch.Tensor, eps=torch.finfo(torch.float64).eps, top_db=40) -> torch.Tensor:
+def amp_to_db(
+    x: torch.Tensor, eps=torch.finfo(torch.float64).eps, top_db=40
+) -> torch.Tensor:
     """
     Convert the input tensor from amplitude to decibel scale.
 
@@ -40,7 +42,9 @@ def temperature_sigmoid(x: torch.Tensor, x0: float, temp_coeff: float) -> torch.
 
 
 @torch.no_grad()
-def linspace(start: Number, stop: Number, num: int = 50, endpoint: bool = True, **kwargs) -> torch.Tensor:
+def linspace(
+    start: Number, stop: Number, num: int = 50, endpoint: bool = True, **kwargs
+) -> torch.Tensor:
     """
     Generate a linearly spaced 1-D tensor.