Optimize openCL version of reduce function

modules/core/src/matrix.cpp

@@ -3428,11 +3428,60 @@ static bool ocl_reduce(InputArray _src, OutputArray _dst,
     const char * const ops[4] = { "OCL_CV_REDUCE_SUM", "OCL_CV_REDUCE_AVG",
                                   "OCL_CV_REDUCE_MAX", "OCL_CV_REDUCE_MIN" };
     char cvt[40];
-    ocl::Kernel k("reduce", ocl::core::reduce2_oclsrc,
+
-                  format("-D %s -D dim=%d -D cn=%d -D ddepth=%d -D srcT=%s -D dstT=%s -D convertToDT=%s%s",
+    const int min_opt_cols = 128;
-                         ops[op], dim, cn, ddepth, ocl::typeToStr(sdepth), ocl::typeToStr(ddepth),
+    if ((1 == dim) && (_src.cols() > min_opt_cols))
-                         ocl::convertTypeStr(sdepth, ddepth, 1, cvt),
+    {
-                         doubleSupport ? " -D DOUBLE_SUPPORT" : ""));
+        int buf_cols = 32;
+
+        cv::String build_opt_pre = format("-D BUF_COLS=%d -D %s -D dim=1 -D cn=%d -D ddepth=%d -D srcT=%s -D dstT=%s -D convertToDT=%s%s",
+                                 buf_cols, ops[op], cn, ddepth, ocl::typeToStr(sdepth), ocl::typeToStr(ddepth),
+                                 ocl::convertTypeStr(sdepth, ddepth, 1, cvt),
+                                 doubleSupport ? " -D DOUBLE_SUPPORT" : "");
+        ocl::Kernel kpre("reduce_horz_pre", ocl::core::reduce2_oclsrc, build_opt_pre);
+        if (kpre.empty())
+            return false;
+
+        cv::String build_opt_main = format("-D %s -D dim=1 -D cn=%d -D ddepth=%d -D srcT=%s -D dstT=%s -D convertToDT=noconvert%s",
+                                 ops[op], cn, ddepth, ocl::typeToStr(ddepth), ocl::typeToStr(ddepth),
+                                 doubleSupport ? " -D DOUBLE_SUPPORT" : "");
+        ocl::Kernel kmain("reduce", ocl::core::reduce2_oclsrc, build_opt_main);
+        if (kmain.empty())
+            return false;
+
+        UMat src = _src.getUMat();
+        Size dsize(1, src.rows);
+        _dst.create(dsize, dtype);
+        UMat dst = _dst.getUMat(), temp = dst;
+
+        if (op0 == CV_REDUCE_AVG && sdepth < CV_32S && ddepth0 < CV_32S)
+            temp.create(dsize, CV_32SC(cn));
+
+        UMat buf(src.rows, buf_cols, temp.type());
+
+        size_t globalSize[2] = { buf_cols, src.rows };
+
+        kpre.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnlyNoSize(buf));
+        if (!kpre.run(2, globalSize, NULL, false))
+            return false;
+
+        globalSize[0] = src.rows;
+        kmain.args(ocl::KernelArg::ReadOnly(buf), ocl::KernelArg::WriteOnlyNoSize(temp));
+        if (!kmain.run(1, globalSize, NULL, false))
+            return false;
+
+        if (op0 == CV_REDUCE_AVG)
+            temp.convertTo(dst, ddepth0, 1. / (dim == 0 ? src.rows : src.cols));
+
+        return true;
+    }
+
+    cv::String build_opt = format("-D %s -D dim=%d -D cn=%d -D ddepth=%d -D srcT=%s -D dstT=%s -D convertToDT=%s%s",
+                             ops[op], dim, cn, ddepth, ocl::typeToStr(sdepth), ocl::typeToStr(ddepth),
+                             ocl::convertTypeStr(sdepth, ddepth, 1, cvt),
+                             doubleSupport ? " -D DOUBLE_SUPPORT" : "");
+
+    ocl::Kernel k("reduce", ocl::core::reduce2_oclsrc, build_opt);
     if (k.empty())
         return false;
 

modules/core/src/opencl/reduce2.cl

@@ -91,6 +91,41 @@
 #error "No operation is specified"
 #endif
 
+#ifndef BUF_COLS
+#define BUF_COLS  64
+#endif
+
+__kernel void reduce_horz_pre(__global const uchar * srcptr, int src_step, int src_offset, int rows, int cols,
+                     __global uchar * bufptr, int buf_step, int buf_offset)
+{
+    int x = get_global_id(0);
+    int y = get_global_id(1);
+    if (x < BUF_COLS)
+    {
+        int src_index = mad24(y, src_step, mad24(x, (int)sizeof(srcT) * cn, src_offset));
+        int buf_index = mad24(y, buf_step, mad24(x, (int)sizeof(dstT) * cn, buf_offset));
+
+        __global const srcT * src = (__global const srcT *)(srcptr + src_index);
+        __global dstT * buf = (__global dstT *)(bufptr + buf_index);
+        dstT tmp[cn] = { INIT_VALUE };
+
+        int src_step_mul = BUF_COLS * cn;
+        for (int x = 0; x < cols; x += BUF_COLS, src += src_step_mul)
+        {
+            #pragma unroll
+            for (int c = 0; c < cn; ++c)
+            {
+                dstT value = convertToDT(src[c]);
+                PROCESS_ELEM(tmp[c], value);
+            }
+        }
+
+        #pragma unroll
+        for (int c = 0; c < cn; ++c)
+            buf[c] = tmp[c];
+    }
+}
+
 __kernel void reduce(__global const uchar * srcptr, int src_step, int src_offset, int rows, int cols,
                      __global uchar * dstptr, int dst_step, int dst_offset)
 {