funasr/models/e2e_asr_paraformer.py
@@ -2107,7 +2107,7 @@ return loss_att, acc_att, cer_att, wer_att, loss_pre def cal_decoder_with_predictor(self, encoder_out, encoder_out_lens, sematic_embeds, ys_pad_lens, hw_list=None): def cal_decoder_with_predictor(self, encoder_out, encoder_out_lens, sematic_embeds, ys_pad_lens, hw_list=None, clas_scale=1.0): if hw_list is None: # default hotword list hw_list = [torch.Tensor([self.sos]).long().to(encoder_out.device)] # empty hotword list
