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enginex-mr_series-sherpa-onnx/sherpa-onnx/csrc/offline-rnn-lm.h
2023-09-12 15:40:16 +08:00

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// sherpa-onnx/csrc/offline-rnn-lm.h
//
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_OFFLINE_RNN_LM_H_
#define SHERPA_ONNX_CSRC_OFFLINE_RNN_LM_H_
#include <memory>
#if __ANDROID_API__ >= 9
#include "android/asset_manager.h"
#include "android/asset_manager_jni.h"
#endif
#include "onnxruntime_cxx_api.h" // NOLINT
#include "sherpa-onnx/csrc/offline-lm-config.h"
#include "sherpa-onnx/csrc/offline-lm.h"
namespace sherpa_onnx {
class OfflineRnnLM : public OfflineLM {
public:
~OfflineRnnLM() override;
explicit OfflineRnnLM(const OfflineLMConfig &config);
#if __ANDROID_API__ >= 9
OfflineRnnLM(AAssetManager *mgr, const OfflineLMConfig &config);
#endif
/** Rescore a batch of sentences.
*
* @param x A 2-D tensor of shape (N, L) with data type int64.
* @param x_lens A 1-D tensor of shape (N,) with data type int64.
* It contains number of valid tokens in x before padding.
* @return Return a 1-D tensor of shape (N,) containing the log likelihood
* of each utterance. Its data type is float32.
*
* Caution: It returns log likelihood, not negative log likelihood (nll).
*/
Ort::Value Rescore(Ort::Value x, Ort::Value x_lens) override;
private:
class Impl;
std::unique_ptr<Impl> impl_;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_OFFLINE_RNN_LM_H_