Class Int8EntropyCalibrator2

src/engine.h:83–111

Class used for int8 calibration

// Class used for int8 calibration
class Int8EntropyCalibrator2 : public nvinfer1::IInt8EntropyCalibrator2 {
public:
    Int8EntropyCalibrator2(int32_t batchSize, int32_t inputW, int32_t inputH, const std::string &calibDataDirPath,
                           const std::string &calibTableName, const std::string &inputBlobName,
                           const std::array<float, 3> &subVals = {0.f, 0.f, 0.f}, const std::array<float, 3> &divVals = {1.f, 1.f, 1.f},
                           bool normalize = true, bool readCache = true);
    virtual ~Int8EntropyCalibrator2();
    // Abstract base class methods which must be implemented
    int32_t getBatchSize() const noexcept override;
    bool getBatch(void *bindings[], char const *names[], int32_t nbBindings) noexcept override;
    void const *readCalibrationCache(std::size_t &length) noexcept override;
    void writeCalibrationCache(void const *ptr, std::size_t length) noexcept override;

private:
    const int32_t m_batchSize;
    const int32_t m_inputW;
    const int32_t m_inputH;
    int32_t m_imgIdx;
    std::vector<std::string> m_imgPaths;
    size_t m_inputCount;
    const std::string m_calibTableName;
    const std::string m_inputBlobName;
    const std::array<float, 3> m_subVals;
    const std::array<float, 3> m_divVals;
    const bool m_normalize;
    const bool m_readCache;
    void *m_deviceInput;
    std::vector<char> m_calibCache;
};

// Class to extend TensorRT logger
class Logger : public nvinfer1::ILogger {