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Add lm rescore to online-modified-beam-search (#133)

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This commit is contained in:
PF Luo
2023-05-05 21:23:54 +08:00
committed by GitHub
parent 3b9c3db31d
commit 8c6a6768d5
26 changed files with 495 additions and 39 deletions
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15
sherpa-onnx/csrc/online-lm.h
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@@ -34,7 +34,7 @@ class OnlineLM {
*
* Caution: It returns negative log likelihood (nll), not log likelihood
*/
std::pair<Ort::Value, std::vector<Ort::Value>> Ort::Value Rescore(
virtual std::pair<Ort::Value, std::vector<Ort::Value>> Rescore(
Ort::Value x, Ort::Value y, std::vector<Ort::Value> states) = 0;
// This function updates hyp.lm_lob_prob of hyps.
@@ -44,19 +44,6 @@ class OnlineLM {
// @param hyps It is changed in-place.
void ComputeLMScore(float scale, int32_t context_size,
std::vector<Hypotheses> *hyps);
/** TODO(fangjun):
*
* 1. Add two fields to Hypothesis
* (a) int32_t lm_cur_pos = 0; number of scored tokens so far
* (b) std::vector<Ort::Value> lm_states;
* 2. When we want to score a hypothesis, we construct x and y as follows:
*
* std::vector x = {hyp.ys.begin() + context_size + lm_cur_pos,
* hyp.ys.end() - 1};
* std::vector y = {hyp.ys.begin() + context_size + lm_cur_pos + 1
* hyp.ys.end()};
* hyp.lm_cur_pos += hyp.ys.size() - context_size - lm_cur_pos;
*/
};
} // namespace sherpa_onnx