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kongdeqiang

2026-03-13 28ccfbfc51068a663a80764e14074df5edf2b5ba

 runtime/onnxruntime/src/paraformer-torch.h

@@ -36,25 +36,29 @@

        using TorchModule = torch::jit::script::Module;
        std::shared_ptr<TorchModule> model_ = nullptr;
        std::shared_ptr<TorchModule> hw_model_ = nullptr;
        std::vector<torch::Tensor> encoder_outs_;
        bool use_hotword;

    public:
        ParaformerTorch();
        ~ParaformerTorch();
        void InitAsr(const std::string &am_model, const std::string &am_cmvn, const std::string &am_config, int thread_num);
        void InitAsr(const std::string &am_model, const std::string &am_cmvn, const std::string &am_config, const std::string &token_file, int thread_num);
        void InitHwCompiler(const std::string &hw_model, int thread_num);
        void InitSegDict(const std::string &seg_dict_model);
        std::vector<std::vector<float>> CompileHotwordEmbedding(std::string &hotwords);
        void Reset();
        void FbankKaldi(float sample_rate, const float* waves, int len, std::vector<std::vector<float>> &asr_feats);
        string Forward(float* din, int len, bool input_finished=true, const std::vector<std::vector<float>> &hw_emb={{0.0}}, void* wfst_decoder=nullptr);
        void WarmUp();
        std::vector<std::string> Forward(float** din, int* len, bool input_finished=true, const std::vector<std::vector<float>> &hw_emb={{0.0}}, void* wfst_decoder=nullptr, int batch_in=1);
        string GreedySearch( float* in, int n_len, int64_t token_nums,
                             bool is_stamp=false, std::vector<float> us_alphas={0}, std::vector<float> us_cif_peak={0});

        string Rescoring();
        string GetLang(){return language;};
        int GetAsrSampleRate() { return asr_sample_rate; };
        void SetBatchSize(int batch_size) {batch_size_ = batch_size;};
        int GetBatchSize() {return batch_size_;};
        void StartUtterance();
        void EndUtterance();
        void InitLm(const std::string &lm_file, const std::string &lm_cfg_file, const std::string &lex_file);
@@ -88,6 +92,7 @@
        float cif_threshold = 1.0;
        float tail_alphas = 0.45;
        int asr_sample_rate = MODEL_SAMPLE_RATE;
        int batch_size_ = 1;
    };

} // namespace funasr