Merge pull request #2787 from ilya-lavrenov:tapi_repeat
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commit
17d6083e01
@ -758,16 +758,28 @@ void flip( InputArray _src, OutputArray _dst, int flip_mode )
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static bool ocl_repeat(InputArray _src, int ny, int nx, OutputArray _dst)
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{
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UMat src = _src.getUMat(), dst = _dst.getUMat();
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if (ny == 1 && nx == 1)
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{
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_src.copyTo(_dst);
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return true;
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}
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for (int y = 0; y < ny; ++y)
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for (int x = 0; x < nx; ++x)
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{
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Rect roi(x * src.cols, y * src.rows, src.cols, src.rows);
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UMat hdr(dst, roi);
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src.copyTo(hdr);
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}
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return true;
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int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type),
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rowsPerWI = ocl::Device::getDefault().isIntel() ? 4 : 1,
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kercn = std::min(ocl::predictOptimalVectorWidth(_src, _dst), 4);
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ocl::Kernel k("repeat", ocl::core::repeat_oclsrc,
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format("-D T=%s -D nx=%d -D ny=%d -D rowsPerWI=%d -D cn=%d",
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ocl::memopTypeToStr(CV_MAKE_TYPE(depth, kercn)),
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nx, ny, rowsPerWI, kercn));
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if (k.empty())
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return false;
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UMat src = _src.getUMat(), dst = _dst.getUMat();
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k.args(ocl::KernelArg::ReadOnly(src, cn, kercn), ocl::KernelArg::WriteOnlyNoSize(dst));
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size_t globalsize[] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI };
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return k.run(2, globalsize, NULL, false);
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}
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#endif
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@ -4406,8 +4406,8 @@ String kernelToStr(InputArray _kernel, int ddepth, const char * name)
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CV_Assert(src.isMat() || src.isUMat()); \
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int ctype = src.type(), ccn = CV_MAT_CN(ctype); \
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Size csize = src.size(); \
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cols.push_back(ccn * src.size().width); \
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if (ctype != type || csize != ssize) \
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cols.push_back(ccn * csize.width); \
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if (ctype != type) \
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return 1; \
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offsets.push_back(src.offset()); \
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steps.push_back(src.step()); \
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47
modules/core/src/opencl/repeat.cl
Normal file
47
modules/core/src/opencl/repeat.cl
Normal file
@ -0,0 +1,47 @@
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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// Copyright (C) 2014, Itseez, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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#if cn != 3
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#define loadpix(addr) *(__global const T *)(addr)
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#define storepix(val, addr) *(__global T *)(addr) = val
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#define TSIZE (int)sizeof(T)
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#else
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#define loadpix(addr) vload3(0, (__global const T1 *)(addr))
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#define storepix(val, addr) vstore3(val, 0, (__global T1 *)(addr))
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#define TSIZE ((int)sizeof(T1)*3)
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#endif
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__kernel void repeat(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols,
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__global uchar * dstptr, int dst_step, int dst_offset)
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{
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int x = get_global_id(0);
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int y0 = get_global_id(1) * rowsPerWI;
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if (x < src_cols)
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{
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int src_index = mad24(y0, src_step, mad24(x, (int)sizeof(T), src_offset));
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int dst_index0 = mad24(y0, dst_step, mad24(x, (int)sizeof(T), dst_offset));
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for (int y = y0, y1 = min(src_rows, y0 + rowsPerWI); y < y1; ++y, src_index += src_step, dst_index0 += dst_step)
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{
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T srcelem = loadpix(srcptr + src_index);
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#pragma unroll
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for (int ey = 0; ey < ny; ++ey)
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{
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int dst_index = mad24(ey * src_rows, dst_step, dst_index0);
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#pragma unroll
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for (int ex = 0; ex < nx; ++ex)
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{
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storepix(srcelem, dstptr + dst_index);
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dst_index = mad24(src_cols, (int)sizeof(T), dst_index);
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}
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}
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}
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}
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}
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