remove reciprocal version of cuda::divide

it might cause errors, due to implicit type conversion and another cuda::divide
overload

modules/cudaarithm/include/opencv2/cudaarithm.hpp

@@ -130,12 +130,6 @@ This function, in contrast to divide, uses a round-down rounding mode.
  */
 CV_EXPORTS void divide(InputArray src1, InputArray src2, OutputArray dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null());
 
-//! computes element-wise weighted reciprocal of an array (dst = scale/src2)
-static inline void divide(double src1, InputArray src2, OutputArray dst, int dtype = -1, Stream& stream = Stream::Null())
-{
-    divide(src1, src2, dst, 1.0, dtype, stream);
-}
-
 /** @brief Computes per-element absolute difference of two matrices (or of a matrix and scalar).
 
 @param src1 First source matrix or scalar.

modules/cudaarithm/test/test_element_operations.cpp

@@ -1329,7 +1329,7 @@ CUDA_TEST_P(Divide_Scalar_First, Accuracy)
         try
         {
             cv::cuda::GpuMat dst;
-            cv::cuda::divide(scale, loadMat(mat), dst, depth.second);
+            cv::cuda::divide(scale, loadMat(mat), dst, 1.0, depth.second);
         }
         catch (const cv::Exception& e)
         {
@@ -1339,7 +1339,7 @@ CUDA_TEST_P(Divide_Scalar_First, Accuracy)
     else
     {
         cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
-        cv::cuda::divide(scale, loadMat(mat, useRoi), dst, depth.second);
+        cv::cuda::divide(scale, loadMat(mat, useRoi), dst, 1.0, depth.second);
 
         cv::Mat dst_gold;
         cv::divide(scale, mat, dst_gold, depth.second);