Function main

tools/cpp/ModuleBasic.cpp:106–560

    return result;
}
int main(int argc, char *argv[]) {
    if (argc < 3) {
        MNN_PRINT("=======================================================================================================================================\n");
        MNN_ERROR("Usage: ./ModuleBasic.out ${test.mnn} ${Dir} [runMask] [forwardType] [runLoops] [numberThread] [precision | memory] [cacheFile] [cpuIds] [enableKleidiAI]\n");
        MNN_PRINT("=======================================================================================================================================\n");
        return 0;
    }
    BackendConfig backendConfigTmp;
    auto _executor = Executor::newExecutor(MNN_FORWARD_CPU, backendConfigTmp, 1);
    ExecutorScope _s(_executor);

    std::string modelName = argv[1];
    std::string directName = argv[2];
    MNN_PRINT("Test %s from input info: %s\n", modelName.c_str(), directName.c_str());
    std::map<std::string, float> inputInfo;
    std::map<std::string, std::vector<int>> inputShape;
    std::vector<std::string> inputNames;
    std::vector<std::string> outputNames;
    bool checkOutput = false;
    int runMask = 0;
    if (argc > 3) {
        runMask = atoi(argv[3]);
        if (runMask & 1) {
            _initDebug();
        }
        if (runMask & 2) {
            _initTensorStatic();
        }
    }
    int repeatNumber = 2;
    bool shapeMutable = true;
    std::vector<VARP> inputs;
    std::vector<VARP> outputs;
    if (runMask & 128) {
        MNN_PRINT("Use input.mnn and output.mnn for test\n");
        inputs = MNN::Express::Variable::load((directName + "/input.mnn").c_str());
        outputs = MNN::Express::Variable::load((directName + "/output.mnn").c_str());
        if (inputs.size() > 0 && outputs.size() > 0) {
            MNN_PRINT("Has input.mnn, use input.mnn and output.mnn instead of json\n");
        }
        for (auto v : inputs) {
            inputNames.emplace_back(v->name());
        }
        for (auto v : outputs) {
            outputNames.emplace_back(v->name());
        }
        checkOutput = outputs.size() > 0;
    }
    // Call Time / Per Second
    float freq = 0.0f;
    int cpuDecreaseRate = -1;
    int kvAdd = 0;
    if (inputNames.empty()) {
        rapidjson::Document document;
        std::ostringstream jsonNameOs;
        jsonNameOs << directName << "/input.json";
        std::ifstream fileNames(jsonNameOs.str().c_str());
        std::ostringstream output;