49 lines
1.3 KiB
C
49 lines
1.3 KiB
C
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// sherpa-onnx/csrc/online-rnn-lm.h
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//
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// Copyright (c) 2023 Pingfeng Luo
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_ONLINE_RNN_LM_H_
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#define SHERPA_ONNX_CSRC_ONLINE_RNN_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/online-lm-config.h"
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#include "sherpa-onnx/csrc/online-lm.h"
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namespace sherpa_onnx {
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class OnlineRnnLM : public OnlineLM {
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public:
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~OnlineRnnLM() override;
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explicit OnlineRnnLM(const OnlineLMConfig &config);
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std::vector<Ort::Value> GetInitStates() override;
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/** Rescore a batch of sentences.
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*
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* @param x A 2-D tensor of shape (N, L) with data type int64.
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* @param y A 2-D tensor of shape (N, L) 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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* - negative loglike
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* - updated states
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*
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* Caution: It returns negative log likelihood (nll), not log likelihood
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*/
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std::pair<Ort::Value, std::vector<Ort::Value>> Rescore(
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Ort::Value x, Ort::Value y, std::vector<Ort::Value> states) override;
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private:
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class Impl;
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std::unique_ptr<Impl> impl_;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_ONLINE_RNN_LM_H_
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