use torch.no_grad()

utils_vad.py

@@ -156,7 +156,6 @@ def save_audio(path: str,
 
 def init_jit_model(model_path: str,
                    device=torch.device('cpu')):
-    torch.set_grad_enabled(False)
     model = torch.jit.load(model_path, map_location=device)
     model.eval()
     return model
@@ -172,6 +171,7 @@ def make_visualization(probs, step):
                  colormap='tab20')
 
 
+@torch.no_grad()
 def get_speech_timestamps(audio: torch.Tensor,
                           model,
                           threshold: float = 0.5,
@@ -484,6 +484,7 @@ class VADIterator:
         self.temp_end = 0
         self.current_sample = 0
 
+    @torch.no_grad()
     def __call__(self, x, return_seconds=False):
         """
         x: torch.Tensor