optimize(vc): use np.divide instead of general /

configs/config.py

@@ -146,7 +146,7 @@ class Config:
         self.preprocess_per = 3.0
         logger.info("overwrite preprocess_per to %d" % (self.preprocess_per))
 
-    def device_config(self) -> tuple:
+    def device_config(self):
         if torch.cuda.is_available():
             if self.has_xpu():
                 self.device = self.instead = "xpu:0"

infer/modules/vc/modules.py

@@ -163,7 +163,7 @@ class VC:
             audio = load_audio(input_audio_path, 16000)
             audio_max = np.abs(audio).max() / 0.95
             if audio_max > 1:
-                audio /= audio_max
+                np.divide(audio, audio_max, audio)
             times = [0, 0, 0]
 
             if self.hubert_model is None:

infer/modules/vc/utils.py

@@ -2,6 +2,8 @@ import os
 
 from fairseq import checkpoint_utils
 
+from configs.config import singleton_variable
+
 
 def get_index_path_from_model(sid):
     return next(
@@ -20,6 +22,7 @@ def get_index_path_from_model(sid):
     )
 
 
+@singleton_variable
 def load_hubert(device, is_half):
     models, _, _ = checkpoint_utils.load_model_ensemble_and_task(
         ["assets/hubert/hubert_base.pt"],