export

funasr/export/models/e2e_vad.py

@@ -24,19 +24,10 @@ class E2EVadModel(nn.Module):
             raise "unsupported encoder"
         
 
-    def forward(self, feats: torch.Tensor,
-                       in_cache0: torch.Tensor,
-                       in_cache1: torch.Tensor,
-                       in_cache2: torch.Tensor,
-                       in_cache3: torch.Tensor,
-                       ):
+    def forward(self, feats: torch.Tensor, *args, ):
 
-        scores, (cache0, cache1, cache2, cache3) = self.encoder(feats,
-                                                              in_cache0,
-                                                              in_cache1,
-                                                              in_cache2,
-                                                              in_cache3)  # return B * T * D
-        return scores, cache0, cache1, cache2, cache3
+        scores, out_caches = self.encoder(feats, *args)
+        return scores, out_caches
 
     def get_dummy_inputs(self, frame=30):
         speech = torch.randn(1, frame, self.feats_dim)