56 lines
1.7 KiB
C++
56 lines
1.7 KiB
C++
// sherpa-onnx/csrc/offline-sense-voice-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_SENSE_VOICE_MODEL_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_SENSE_VOICE_MODEL_H_
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#include <memory>
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#include <vector>
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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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#include "sherpa-onnx/csrc/offline-sense-voice-model-meta-data.h"
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namespace sherpa_onnx {
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class OfflineSenseVoiceModel {
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public:
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explicit OfflineSenseVoiceModel(const OfflineModelConfig &config);
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template <typename Manager>
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OfflineSenseVoiceModel(Manager *mgr, const OfflineModelConfig &config);
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~OfflineSenseVoiceModel();
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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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* @param language A 1-D tensor of shape (N,) with dtype int32_t
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* @param text_norm A 1-D tensor of shape (N,) with dtype int32_t
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*
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* @return Return logits of shape (N, T, C) with dtype float
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*
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* Note: The subsampling factor is 1 for SenseVoice, so there is
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* no need to output logits_length.
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*/
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Ort::Value Forward(Ort::Value features, Ort::Value features_length,
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Ort::Value language, Ort::Value text_norm) const;
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const OfflineSenseVoiceModelMetaData &GetModelMetadata() 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_SENSE_VOICE_MODEL_H_
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