online-rnn-lm.h
1.3 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
// sherpa-onnx/csrc/online-rnn-lm.h
//
// Copyright (c) 2023 Pingfeng Luo
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_ONLINE_RNN_LM_H_
#define SHERPA_ONNX_CSRC_ONLINE_RNN_LM_H_
#include <memory>
#include <utility>
#include <vector>
#include "onnxruntime_cxx_api.h" // NOLINT
#include "sherpa-onnx/csrc/online-lm-config.h"
#include "sherpa-onnx/csrc/online-lm.h"
namespace sherpa_onnx {
class OnlineRnnLM : public OnlineLM {
public:
~OnlineRnnLM() override;
explicit OnlineRnnLM(const OnlineLMConfig &config);
std::pair<Ort::Value, std::vector<Ort::Value>> GetInitStates() override;
/** ScoreToken a batch of sentences.
*
* @param x A 2-D tensor of shape (N, L) with data type int64.
* @param states It contains the states for the LM model
* @return Return a pair containingo
* - log_prob of NN LM
* - updated states
*
*/
std::pair<Ort::Value, std::vector<Ort::Value>> ScoreToken(
Ort::Value x, std::vector<Ort::Value> states) override;
/** This function updates lm_lob_prob and nn_lm_scores of hyp
*
* @param scale LM score
* @param hyps It is changed in-place.
*
*/
void ComputeLMScore(float scale, Hypothesis *hyp) override;
private:
class Impl;
std::unique_ptr<Impl> impl_;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_ONLINE_RNN_LM_H_