funasr/auto/auto_model.py
@@ -245,7 +245,10 @@ time1 = time.perf_counter() with torch.no_grad(): results, meta_data = model.inference(**batch, **kwargs) res = model.inference(**batch, **kwargs) if isinstance(res, (list, tuple)): results = res[0] meta_data = res[1] if len(res) > 1 else {} time2 = time.perf_counter() asr_result_list.extend(results)