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| | | using TorchModule = torch::jit::script::Module; |
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| | | std::shared_ptr<TorchModule> model_ = nullptr; |
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| | | std::shared_ptr<TorchModule> hw_model_ = nullptr; |
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| | | std::vector<torch::Tensor> encoder_outs_; |
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| | | bool use_hotword; |
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| | | public: |
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| | | ParaformerTorch(); |
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| | | ~ParaformerTorch(); |
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| | | void InitAsr(const std::string &am_model, const std::string &am_cmvn, const std::string &am_config, int thread_num); |
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| | | 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); |
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| | | void InitHwCompiler(const std::string &hw_model, int thread_num); |
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| | | void InitSegDict(const std::string &seg_dict_model); |
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| | | std::vector<std::vector<float>> CompileHotwordEmbedding(std::string &hotwords); |
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| | | void Reset(); |
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| | | void FbankKaldi(float sample_rate, const float* waves, int len, std::vector<std::vector<float>> &asr_feats); |
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| | | void WarmUp(); |
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| | | 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); |
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| | | string GreedySearch( float* in, int n_len, int64_t token_nums, |
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| | | bool is_stamp=false, std::vector<float> us_alphas={0}, std::vector<float> us_cif_peak={0}); |
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