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  #include "../test_precomp.hpp"
  #include "opencv2/ts/ocl_test.hpp"
  
  #ifdef HAVE_OPENCL
  
  namespace cvtest {
  namespace ocl {
  
  /////////////////////////////////////////////////////////////////////////////////////////////////
  // sepFilter2D
  PARAM_TEST_CASE(SepFilter2D, MatDepth, Channels, BorderType, bool, bool)
  {
      static const int kernelMinSize = 2;
      static const int kernelMaxSize = 10;
  
      int type;
      Point anchor;
      int borderType;
      bool useRoi;
      Mat kernelX, kernelY;
      double delta;
  
      TEST_DECLARE_INPUT_PARAMETER(src);
      TEST_DECLARE_OUTPUT_PARAMETER(dst);
  
      virtual void SetUp()
      {
          type = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1));
          borderType = GET_PARAM(2) | (GET_PARAM(3) ? BORDER_ISOLATED : 0);
          useRoi = GET_PARAM(4);
      }
  
      void random_roi()
      {
          Size ksize = randomSize(kernelMinSize, kernelMaxSize);
          if (1 != ksize.width % 2)
              ksize.width++;
          if (1 != ksize.height % 2)
              ksize.height++;
  
          Mat temp = randomMat(Size(ksize.width, 1), CV_MAKE_TYPE(CV_32F, 1), -MAX_VALUE, MAX_VALUE);
          cv::normalize(temp, kernelX, 1.0, 0.0, NORM_L1);
          temp = randomMat(Size(1, ksize.height),  CV_MAKE_TYPE(CV_32F, 1), -MAX_VALUE, MAX_VALUE);
          cv::normalize(temp, kernelY, 1.0, 0.0, NORM_L1);
  
          Size roiSize = randomSize(ksize.width, MAX_VALUE, ksize.height, MAX_VALUE);
          Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
          randomSubMat(src, src_roi, roiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);
  
          Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
          randomSubMat(dst, dst_roi, roiSize, dstBorder, type, -MAX_VALUE, MAX_VALUE);
  
          anchor.x = anchor.y = -1;
          delta = randomDouble(-100, 100);
  
          UMAT_UPLOAD_INPUT_PARAMETER(src);
          UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
      }
  
      void Near(double threshold = 0.0)
      {
          OCL_EXPECT_MATS_NEAR(dst, threshold);
      }
  };
  
  OCL_TEST_P(SepFilter2D, Mat)
  {
      for (int j = 0; j < test_loop_times + 3; j++)
      {
          random_roi();
  
          OCL_OFF(cv::sepFilter2D(src_roi, dst_roi, -1, kernelX, kernelY, anchor, delta, borderType));
          OCL_ON(cv::sepFilter2D(usrc_roi, udst_roi, -1, kernelX, kernelY, anchor, delta, borderType));
  
          Near(1.0);
      }
  }
  
  OCL_INSTANTIATE_TEST_CASE_P(ImageProc, SepFilter2D,
                              Combine(
                                  Values(CV_8U, CV_32F),
                                  OCL_ALL_CHANNELS,
                                  Values(
                                          (BorderType)BORDER_CONSTANT,
                                          (BorderType)BORDER_REPLICATE,
                                          (BorderType)BORDER_REFLECT,
                                          (BorderType)BORDER_REFLECT_101),
                                  Bool(), // BORDER_ISOLATED
                                  Bool()  // ROI
                                  )
                             );
  
  
  } } // namespace cvtest::ocl
  
  #endif // HAVE_OPENCL
  