support in_cache (#560)

funasr/models/e2e_vad.py

@@ -501,6 +501,8 @@ class E2EVadModel(nn.Module):
     def forward_online(self, feats: torch.Tensor, waveform: torch.tensor, in_cache: Dict[str, torch.Tensor] = dict(),
                        is_final: bool = False, max_end_sil: int = 800
                        ) -> Tuple[List[List[List[int]]], Dict[str, torch.Tensor]]:
+        if not in_cache:
+            self.AllResetDetection()
         self.max_end_sil_frame_cnt_thresh = max_end_sil - self.vad_opts.speech_to_sil_time_thres
         self.waveform = waveform  # compute decibel for each frame