| | |
|---|
| | | ) |
|---|
| | | |
|---|
| | | self.blank_id = blank_id |
|---|
| | | self.sos = sos if sos is not None else vocab_size - 1 |
|---|
| | | self.eos = eos if eos is not None else vocab_size - 1 |
|---|
| | | self.sos = vocab_size - 1 |
|---|
| | | self.eos = vocab_size - 1 |
|---|
| | | self.vocab_size = vocab_size |
|---|
| | | self.ignore_id = ignore_id |
|---|
| | | self.ctc_weight = ctc_weight |
|---|
| | |
|---|
| | | scorers["ngram"] = ngram |
|---|
| | | |
|---|
| | | weights = dict( |
|---|
| | | decoder=1.0 - kwargs.get("decoding_ctc_weight", 0.5), |
|---|
| | | ctc=kwargs.get("decoding_ctc_weight", 0.5), |
|---|
| | | decoder=1.0 - kwargs.get("decoding_ctc_weight", 0.3), |
|---|
| | | ctc=kwargs.get("decoding_ctc_weight", 0.3), |
|---|
| | | lm=kwargs.get("lm_weight", 0.0), |
|---|
| | | ngram=kwargs.get("ngram_weight", 0.0), |
|---|
| | | length_bonus=kwargs.get("penalty", 0.0), |
|---|
| | | ) |
|---|
| | | beam_search = BeamSearch( |
|---|
| | | beam_size=kwargs.get("beam_size", 10), |
|---|
| | | beam_size=kwargs.get("beam_size", 20), |
|---|
| | | weights=weights, |
|---|
| | | scorers=scorers, |
|---|
| | | sos=self.sos, |
|---|
