81 lines
2.2 KiB
C++
81 lines
2.2 KiB
C++
// sherpa-onnx/csrc/offline-paraformer-model.h
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//
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// Copyright (c) 2022-2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_PARAFORMER_MODEL_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_PARAFORMER_MODEL_H_
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#include <memory>
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#include <vector>
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#if __ANDROID_API__ >= 9
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#include "android/asset_manager.h"
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#include "android/asset_manager_jni.h"
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#endif
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#include "onnxruntime_cxx_api.h" // NOLINT
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#include "sherpa-onnx/csrc/offline-model-config.h"
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namespace sherpa_onnx {
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class OfflineParaformerModel {
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public:
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explicit OfflineParaformerModel(const OfflineModelConfig &config);
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#if __ANDROID_API__ >= 9
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OfflineParaformerModel(AAssetManager *mgr, const OfflineModelConfig &config);
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#endif
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~OfflineParaformerModel();
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/** Run the forward method of the model.
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*
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* @param features A tensor of shape (N, T, C). It is changed in-place.
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* @param features_length A 1-D tensor of shape (N,) containing number of
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* valid frames in `features` before padding.
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* Its dtype is int32_t.
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*
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* @return Return a vector containing:
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* - log_probs: A 3-D tensor of shape (N, T', vocab_size)
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* - token_num: A 1-D tensor of shape (N, T') containing number
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* of valid tokens in each utterance. Its dtype is int64_t.
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* If it is a model supporting timestamps, then there are additional two
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* outputs:
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* - us_alphas
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* - us_cif_peak
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*/
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std::vector<Ort::Value> Forward(Ort::Value features,
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Ort::Value features_length);
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/** Return the vocabulary size of the model
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*/
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int32_t VocabSize() const;
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/** It is lfr_m in config.yaml
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*/
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int32_t LfrWindowSize() const;
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/** It is lfr_n in config.yaml
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*/
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int32_t LfrWindowShift() const;
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/** Return negative mean for CMVN
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*/
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const std::vector<float> &NegativeMean() const;
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/** Return inverse stddev for CMVN
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*/
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const std::vector<float> &InverseStdDev() const;
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/** Return an allocator for allocating memory
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*/
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OrtAllocator *Allocator() const;
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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_OFFLINE_PARAFORMER_MODEL_H_
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