Method runQuantizeModel

tools/quantization/calibration.cpp:1442–1472

}

void Calibration::runQuantizeModel() {
    if (_featureQuantizeMethod == "EMA") {
        _quantizeModelEMA();
        return;
    }

    if (_featureQuantizeMethod == "KL") {
        _computeFeatureScaleKL();
    } else if (_featureQuantizeMethod == "ADMM") {
        _computeFeatureScaleADMM();
    }
   if (_debug) {
       _computeQuantError();
   }
    _insertScale();
    ComputeUnaryBuffer(_originalModel);
    _originalModel->extraTensorDescribe.clear();
    for (auto& iter : _tensorDescribes) {
        _originalModel->extraTensorDescribe.emplace_back(std::move(iter.second));
    }
    _tensorDescribes.clear();

    {
        flatbuffers::FlatBufferBuilder builderOutput(1024);
        builderOutput.ForceDefaults(true);
        auto len = MNN::Net::Pack(builderOutput, _originalModel);
        builderOutput.Finish(len);
        std::ofstream output(_destModelFile, std::ofstream::binary);
        output.write((const char*)builderOutput.GetBufferPointer(), builderOutput.GetSize());
    }
}

void Calibration::dumpTensorScales(const std::string& modelFile) {
    rapidjson::StringBuffer sb;