Jetson Inference
DNN Vision Library
randInt8Calibrator.h
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22 
23 #ifndef __RAND_INT8_CALIBRATOR_H__
24 #define __RAND_INT8_CALIBRATOR_H__
25 
26 #include "tensorNet.h"
27 
28 #include <map>
29 #include <string>
30 #include <vector>
31 
32 
33 #if NV_TENSORRT_MAJOR >= 4
34 
40 class randInt8Calibrator : public nvinfer1::IInt8EntropyCalibrator
41 {
42 public:
46  randInt8Calibrator( int totalSamples, std::string cacheFile,
47  const std::map<std::string, nvinfer1::Dims3>& inputDimensions );
48 
52  ~randInt8Calibrator();
53 
57  inline int getBatchSize() const NOEXCEPT override { return 1; }
58 
62  bool getBatch(void* bindings[], const char* names[], int nbBindings) NOEXCEPT override;
63 
67  const void* readCalibrationCache(size_t& length) NOEXCEPT override;
68 
72  virtual void writeCalibrationCache(const void*, size_t) NOEXCEPT override;
73 
74 private:
75  int mTotalSamples;
76  int mCurrentSample;
77 
78  std::string mCacheFile;
79  std::map<std::string, void*> mInputDeviceBuffers;
80  std::map<std::string, nvinfer1::Dims3> mInputDimensions;
81  std::vector<char> mCalibrationCache;
82 };
83 
84 #endif
85 #endif
86 
NOEXCEPT
#define NOEXCEPT
Definition: tensorNet.h:73
tensorNet.h
length
__host__ __device__ float length(float2 v)
Definition: cudaMath.h:1563