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  //                For Open Source Computer Vision Library
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  #include "gputest.hpp"
  
  #include <string>
  #include <iostream>
  #include <fstream>
  #include <iterator>
  #include <limits>
  #include <numeric>
  
  using namespace cv;
  using namespace std;
  using namespace gpu;
  
  class CV_GpuMatOpConvertToTest : public CvTest
  {
      public:
          CV_GpuMatOpConvertToTest() : CvTest( "GPU-MatOperatorConvertTo", "convertTo" ) {}
          ~CV_GpuMatOpConvertToTest() {}
  
      protected:
          void run(int);
  };
  
  void CV_GpuMatOpConvertToTest::run(int /* start_from */)
  {
      const Size img_size(67, 35);
  
      const int types[] = {CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F};
      const int types_num = sizeof(types) / sizeof(int);
      const char* types_str[] = {"CV_8U", "CV_8S", "CV_16U", "CV_16S", "CV_32S", "CV_32F", "CV_64F"};
  
      bool passed = true;
      try
      {
          for (int i = 0; i < types_num && passed; ++i)
          {
              for (int j = 0; j < types_num && passed; ++j)
              {
                  for (int c = 1; c < 5 && passed; ++c)
                  {
                      const int src_type = CV_MAKETYPE(types[i], c);
                      const int dst_type = types[j];
  
                      cv::RNG rng(*ts->get_rng());
  
                      Mat cpumatsrc(img_size, src_type);
                      rng.fill(cpumatsrc, RNG::UNIFORM, Scalar::all(0), Scalar::all(300));
  
                      GpuMat gpumatsrc(cpumatsrc);
                      Mat cpumatdst;
                      GpuMat gpumatdst;
  
                      cpumatsrc.convertTo(cpumatdst, dst_type);
                      gpumatsrc.convertTo(gpumatdst, dst_type);
  
                      double r = norm(cpumatdst, gpumatdst, NORM_INF);
                      if (r > 1)
                      {
                          ts->printf(CvTS::LOG, 
                                     "\nFAILED: SRC_TYPE=%sC%d DST_TYPE=%s NORM = %d\n",
                                     types_str[i], c, types_str[j], r);
                          passed = false;
                      }
                  }
              }
          }
      }
      catch(cv::Exception& e)
      {
          if (!check_and_treat_gpu_exception(e, ts))
              throw; 
          return;
      }
  
      ts->set_failed_test_info(passed ? CvTS::OK : CvTS::FAIL_GENERIC);
  }
  
  /////////////////////////////////////////////////////////////////////////////
  /////////////////// tests registration  /////////////////////////////////////
  /////////////////////////////////////////////////////////////////////////////
  
  CV_GpuMatOpConvertToTest CV_GpuMatOpConvertToTest_test;
  