1a1b9fd236
* rnnlm model inference supports num_threads setting * rnnlm params decouple num_thread and provider with Transducer. * fix python csrc bug which offline-lm-config.cc and online-lm-config.cc arguments problem * lm_num_threads and lm_provider set default values --------- Co-authored-by: cuidongcai1035 <cuidongcai1035@wezhuiyi.com>
50 lines
1.3 KiB
C++
50 lines
1.3 KiB
C++
// sherpa-onnx/csrc/online-lm.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_ONLINE_LM_H_
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#define SHERPA_ONNX_CSRC_ONLINE_LM_H_
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#include <memory>
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#include <utility>
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#include <vector>
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#include "onnxruntime_cxx_api.h" // NOLINT
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#include "sherpa-onnx/csrc/hypothesis.h"
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#include "sherpa-onnx/csrc/online-lm-config.h"
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namespace sherpa_onnx {
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class OnlineLM {
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public:
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virtual ~OnlineLM() = default;
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static std::unique_ptr<OnlineLM> Create(const OnlineLMConfig &config);
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virtual std::pair<Ort::Value, std::vector<Ort::Value>> GetInitStates() = 0;
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/** ScoreToken a batch of sentences.
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*
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* @param x A 2-D tensor of shape (N, 1) with data type int64.
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* @param states It contains the states for the LM model
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* @return Return a pair containingo
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* - log_prob of NN LM
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* - updated states
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*
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*/
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virtual std::pair<Ort::Value, std::vector<Ort::Value>> ScoreToken(
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Ort::Value x, std::vector<Ort::Value> states) = 0;
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/** This function updates lm_lob_prob and nn_lm_scores of hyp
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*
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* @param scale LM score
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* @param hyps It is changed in-place.
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*
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*/
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virtual void ComputeLMScore(float scale, Hypothesis *hyp) = 0;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_ONLINE_LM_H_
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