Method LAC

Android/testlac/app/src/main/cpp/lac.cpp:23–59

LAC构造函数：初始化、装载模型和词典 */

/* LAC构造函数：初始化、装载模型和词典 */
LAC::LAC(std::string model_dict_path, int threads, CODE_TYPE type)
    : _codetype(type),
      _lod(std::vector<std::vector<uint64_t> >(1)),
      _word2id_dict(new std::unordered_map<std::string, int64_t>),
      _q2b_dict(new std::unordered_map<std::string, std::string>),
      _id2label_dict(new std::unordered_map<int64_t, std::string>)
{
    /* 装载词典 */
    std::string word_dict_path = model_dict_path + "/word.dic";
    load_word2id_dict(word_dict_path, *_word2id_dict);
    std::string q2b_dict_path = model_dict_path + "/q2b.dic";
    load_q2b_dict(q2b_dict_path, *_q2b_dict);
    std::string label_dict_path = model_dict_path + "/tag.dic";
    load_id2label_dict(label_dict_path, *_id2label_dict);
    std::cout << "read word dict succeed" << std::endl;

    paddle::lite_api::MobileConfig config;
    config.set_threads(threads);  // 自行设置多线程

    /* 装载模型 */
    config.set_model_from_file(model_dict_path + "/model.nb");
    this->_predictor = paddle::lite_api::CreatePaddlePredictor(config);

    std::cout << "load model succeed" << std::endl;

    /* 初始化输入输出变量 */
    this->_input_tensor = this->_predictor->GetInput(0);
    this->_output_tensor = this->_predictor->GetOutput(0);
    this->_oov_id = this->_word2id_dict->size() - 1;
    auto word_iter = this->_word2id_dict->find("OOV");
    if (word_iter != this->_word2id_dict->end())
    {
        this->_oov_id = word_iter->second;
    }

    std::cout << "init succeed" << std::endl;
}


int LAC::feed_data(const std::vector<std::string> &querys)