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261 lines
10 KiB
261 lines
10 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Copyright (C) 2014-2015, Itseez Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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/* //////////////////////////////////////////////////////////////////// |
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// |
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// Geometrical transforms on images and matrices: rotation, zoom etc. |
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// |
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// */ |
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#include "precomp.hpp" |
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#include "resize.hpp" |
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namespace cv |
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{ |
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namespace opt_AVX2 |
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{ |
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class resizeNNInvokerAVX4 CV_FINAL : |
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public ParallelLoopBody |
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{ |
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public: |
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resizeNNInvokerAVX4(const Mat& _src, Mat &_dst, int *_x_ofs, int _pix_size4, double _ify) : |
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ParallelLoopBody(), src(_src), dst(_dst), x_ofs(_x_ofs), pix_size4(_pix_size4), |
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ify(_ify) |
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{ |
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} |
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#if defined(__INTEL_COMPILER) |
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#pragma optimization_parameter target_arch=AVX |
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#endif |
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virtual void operator() (const Range& range) const CV_OVERRIDE |
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{ |
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Size ssize = src.size(), dsize = dst.size(); |
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int y, x; |
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int width = dsize.width; |
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int avxWidth = width - (width & 0x7); |
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const __m256i CV_DECL_ALIGNED(64) mask = _mm256_set1_epi32(-1); |
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if(((int64)(dst.data + dst.step) & 0x1f) == 0) |
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{ |
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for(y = range.start; y < range.end; y++) |
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{ |
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uchar* D = dst.data + dst.step*y; |
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uchar* Dstart = D; |
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int sy = std::min(cvFloor(y*ify), ssize.height-1); |
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const uchar* S = src.data + sy*src.step; |
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#ifdef CV_ICC |
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#pragma unroll(4) |
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#endif |
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for(x = 0; x < avxWidth; x += 8) |
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{ |
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const __m256i CV_DECL_ALIGNED(64) *addr = (__m256i*)(x_ofs + x); |
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__m256i CV_DECL_ALIGNED(64) indices = _mm256_lddqu_si256(addr); |
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__m256i CV_DECL_ALIGNED(64) pixels = _mm256_i32gather_epi32((const int*)S, indices, 1); |
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_mm256_maskstore_epi32((int*)D, mask, pixels); |
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D += 32; |
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} |
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for(; x < width; x++) |
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{ |
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*(int*)(Dstart + x*4) = *(int*)(S + x_ofs[x]); |
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} |
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} |
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} |
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else |
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{ |
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for(y = range.start; y < range.end; y++) |
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{ |
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uchar* D = dst.data + dst.step*y; |
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uchar* Dstart = D; |
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int sy = std::min(cvFloor(y*ify), ssize.height-1); |
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const uchar* S = src.data + sy*src.step; |
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#ifdef CV_ICC |
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#pragma unroll(4) |
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#endif |
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for(x = 0; x < avxWidth; x += 8) |
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{ |
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const __m256i CV_DECL_ALIGNED(64) *addr = (__m256i*)(x_ofs + x); |
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__m256i CV_DECL_ALIGNED(64) indices = _mm256_lddqu_si256(addr); |
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__m256i CV_DECL_ALIGNED(64) pixels = _mm256_i32gather_epi32((const int*)S, indices, 1); |
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_mm256_storeu_si256((__m256i*)D, pixels); |
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D += 32; |
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} |
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for(; x < width; x++) |
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{ |
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*(int*)(Dstart + x*4) = *(int*)(S + x_ofs[x]); |
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} |
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} |
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} |
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_mm256_zeroupper(); |
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} |
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private: |
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const Mat src; |
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Mat dst; |
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int* x_ofs, pix_size4; |
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double ify; |
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resizeNNInvokerAVX4(const resizeNNInvokerAVX4&); |
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resizeNNInvokerAVX4& operator=(const resizeNNInvokerAVX4&); |
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}; |
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class resizeNNInvokerAVX2 CV_FINAL : |
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public ParallelLoopBody |
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{ |
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public: |
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resizeNNInvokerAVX2(const Mat& _src, Mat &_dst, int *_x_ofs, int _pix_size4, double _ify) : |
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ParallelLoopBody(), src(_src), dst(_dst), x_ofs(_x_ofs), pix_size4(_pix_size4), |
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ify(_ify) |
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{ |
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} |
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#if defined(__INTEL_COMPILER) |
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#pragma optimization_parameter target_arch=AVX |
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#endif |
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virtual void operator() (const Range& range) const CV_OVERRIDE |
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{ |
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Size ssize = src.size(), dsize = dst.size(); |
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int y, x; |
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int width = dsize.width; |
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//int avxWidth = (width - 1) - ((width - 1) & 0x7); |
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int avxWidth = width - (width & 0xf); |
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const __m256i CV_DECL_ALIGNED(64) mask = _mm256_set1_epi32(-1); |
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const __m256i CV_DECL_ALIGNED(64) shuffle_mask = _mm256_set_epi8(15,14,11,10,13,12,9,8,7,6,3,2,5,4,1,0, |
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15,14,11,10,13,12,9,8,7,6,3,2,5,4,1,0); |
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const __m256i CV_DECL_ALIGNED(64) permute_mask = _mm256_set_epi32(7, 5, 3, 1, 6, 4, 2, 0); |
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//const __m256i CV_DECL_ALIGNED(64) shift_shuffle_mask = _mm256_set_epi8(13,12,15,14,9,8,11,10,5,4,7,6,1,0,3,2, |
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// 13,12,15,14,9,8,11,10,5,4,7,6,1,0,3,2); |
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if(((int64)(dst.data + dst.step) & 0x1f) == 0) |
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{ |
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for(y = range.start; y < range.end; y++) |
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{ |
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uchar* D = dst.data + dst.step*y; |
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uchar* Dstart = D; |
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int sy = std::min(cvFloor(y*ify), ssize.height-1); |
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const uchar* S = src.data + sy*src.step; |
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const uchar* S2 = S - 2; |
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#ifdef CV_ICC |
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#pragma unroll(4) |
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#endif |
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for(x = 0; x < avxWidth; x += 16) |
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{ |
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const __m256i CV_DECL_ALIGNED(64) *addr = (__m256i*)(x_ofs + x); |
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__m256i CV_DECL_ALIGNED(64) indices = _mm256_lddqu_si256(addr); |
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__m256i CV_DECL_ALIGNED(64) pixels1 = _mm256_i32gather_epi32((const int*)S, indices, 1); |
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const __m256i CV_DECL_ALIGNED(64) *addr2 = (__m256i*)(x_ofs + x + 8); |
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__m256i CV_DECL_ALIGNED(64) indices2 = _mm256_lddqu_si256(addr2); |
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__m256i CV_DECL_ALIGNED(64) pixels2 = _mm256_i32gather_epi32((const int*)S2, indices2, 1); |
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__m256i CV_DECL_ALIGNED(64) unpacked = _mm256_blend_epi16(pixels1, pixels2, 0xaa); |
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__m256i CV_DECL_ALIGNED(64) bytes_shuffled = _mm256_shuffle_epi8(unpacked, shuffle_mask); |
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__m256i CV_DECL_ALIGNED(64) ints_permuted = _mm256_permutevar8x32_epi32(bytes_shuffled, permute_mask); |
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_mm256_maskstore_epi32((int*)D, mask, ints_permuted); |
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D += 32; |
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} |
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for(; x < width; x++) |
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{ |
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*(ushort*)(Dstart + x*2) = *(ushort*)(S + x_ofs[x]); |
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} |
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} |
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} |
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else |
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{ |
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for(y = range.start; y < range.end; y++) |
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{ |
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uchar* D = dst.data + dst.step*y; |
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uchar* Dstart = D; |
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int sy = std::min(cvFloor(y*ify), ssize.height-1); |
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const uchar* S = src.data + sy*src.step; |
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const uchar* S2 = S - 2; |
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#ifdef CV_ICC |
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#pragma unroll(4) |
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#endif |
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for(x = 0; x < avxWidth; x += 16) |
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{ |
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const __m256i CV_DECL_ALIGNED(64) *addr = (__m256i*)(x_ofs + x); |
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__m256i CV_DECL_ALIGNED(64) indices = _mm256_lddqu_si256(addr); |
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__m256i CV_DECL_ALIGNED(64) pixels1 = _mm256_i32gather_epi32((const int*)S, indices, 1); |
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const __m256i CV_DECL_ALIGNED(64) *addr2 = (__m256i*)(x_ofs + x + 8); |
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__m256i CV_DECL_ALIGNED(64) indices2 = _mm256_lddqu_si256(addr2); |
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__m256i CV_DECL_ALIGNED(64) pixels2 = _mm256_i32gather_epi32((const int*)S2, indices2, 1); |
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__m256i CV_DECL_ALIGNED(64) unpacked = _mm256_blend_epi16(pixels1, pixels2, 0xaa); |
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__m256i CV_DECL_ALIGNED(64) bytes_shuffled = _mm256_shuffle_epi8(unpacked, shuffle_mask); |
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__m256i CV_DECL_ALIGNED(64) ints_permuted = _mm256_permutevar8x32_epi32(bytes_shuffled, permute_mask); |
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_mm256_storeu_si256((__m256i*)D, ints_permuted); |
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D += 32; |
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} |
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for(; x < width; x++) |
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{ |
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*(ushort*)(Dstart + x*2) = *(ushort*)(S + x_ofs[x]); |
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} |
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} |
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} |
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_mm256_zeroupper(); |
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} |
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private: |
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const Mat src; |
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Mat dst; |
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int* x_ofs, pix_size4; |
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double ify; |
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resizeNNInvokerAVX2(const resizeNNInvokerAVX2&); |
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resizeNNInvokerAVX2& operator=(const resizeNNInvokerAVX2&); |
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}; |
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void resizeNN2_AVX2(const Range& range, const Mat& src, Mat &dst, int *x_ofs, int pix_size4, double ify) |
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{ |
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resizeNNInvokerAVX2 invoker(src, dst, x_ofs, pix_size4, ify); |
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parallel_for_(range, invoker, dst.total() / (double)(1 << 16)); |
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} |
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void resizeNN4_AVX2(const Range& range, const Mat& src, Mat &dst, int *x_ofs, int pix_size4, double ify) |
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{ |
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resizeNNInvokerAVX4 invoker(src, dst, x_ofs, pix_size4, ify); |
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parallel_for_(range, invoker, dst.total() / (double)(1 << 16)); |
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} |
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} |
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} |
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/* End of file. */
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