funasr/models/campplus/model.py
@@ -123,5 +123,5 @@ time3 = time.perf_counter() meta_data["extract_feat"] = f"{time3 - time2:0.3f}" meta_data["batch_data_time"] = np.array(speech_times).sum().item() / 16000.0 results = [{"spk_embedding": self.forward(speech)}] results = [{"spk_embedding": self.forward(speech.to(torch.float32))}] return results, meta_data
