funasr/bin/asr_inference_paraformer.py
@@ -181,7 +181,7 @@ self.nbest = nbest self.frontend = frontend self.encoder_downsampling_factor = 1 if asr_train_args.encoder_conf["input_layer"] == "conv2d": if asr_train_args.encoder == "data2vec_encoder" or asr_train_args.encoder_conf["input_layer"] == "conv2d": self.encoder_downsampling_factor = 4 @torch.no_grad()
