funasr/export/models/e2e_asr_paraformer.py
@@ -59,7 +59,7 @@ enc, enc_len = self.encoder(**batch) mask = self.make_pad_mask(enc_len)[:, None, :] pre_acoustic_embeds, pre_token_length, alphas, pre_peak_index = self.predictor(enc, mask) pre_token_length = pre_token_length.round().type(torch.int32) pre_token_length = pre_token_length.floor().type(torch.int32) decoder_out, _ = self.decoder(enc, enc_len, pre_acoustic_embeds, pre_token_length) decoder_out = torch.log_softmax(decoder_out, dim=-1)
