export model

游雁

2023-02-14 1d4ab65c8bfebaecbcb0eec0064bae9a321cad75

export model

 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().long()
        pre_token_length = pre_token_length.round().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)