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230 lines
8.8 KiB
230 lines
8.8 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_SSE4_1 |
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{ |
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class resizeNNInvokerSSE2 : |
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public ParallelLoopBody |
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{ |
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public: |
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resizeNNInvokerSSE2(const Mat& _src, Mat &_dst, int *_x_ofs, double _ify) : |
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ParallelLoopBody(), src(_src), dst(_dst), x_ofs(_x_ofs), |
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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=SSE4.2 |
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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 sseWidth = width - (width & 0x7); |
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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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__m128i CV_DECL_ALIGNED(64) pixels = _mm_set1_epi16(0); |
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for(x = 0; x < sseWidth; x += 8) |
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{ |
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ushort imm = *(ushort*)(S + x_ofs[x + 0]); |
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pixels = _mm_insert_epi16(pixels, imm, 0); |
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imm = *(ushort*)(S + x_ofs[x + 1]); |
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pixels = _mm_insert_epi16(pixels, imm, 1); |
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imm = *(ushort*)(S + x_ofs[x + 2]); |
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pixels = _mm_insert_epi16(pixels, imm, 2); |
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imm = *(ushort*)(S + x_ofs[x + 3]); |
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pixels = _mm_insert_epi16(pixels, imm, 3); |
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imm = *(ushort*)(S + x_ofs[x + 4]); |
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pixels = _mm_insert_epi16(pixels, imm, 4); |
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imm = *(ushort*)(S + x_ofs[x + 5]); |
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pixels = _mm_insert_epi16(pixels, imm, 5); |
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imm = *(ushort*)(S + x_ofs[x + 6]); |
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pixels = _mm_insert_epi16(pixels, imm, 6); |
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imm = *(ushort*)(S + x_ofs[x + 7]); |
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pixels = _mm_insert_epi16(pixels, imm, 7); |
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_mm_storeu_si128((__m128i*)D, pixels); |
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D += 16; |
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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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private: |
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const Mat& src; |
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Mat& dst; |
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int* x_ofs; |
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double ify; |
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resizeNNInvokerSSE2(const resizeNNInvokerSSE2&); |
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resizeNNInvokerSSE2& operator=(const resizeNNInvokerSSE2&); |
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}; |
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class resizeNNInvokerSSE4 : |
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public ParallelLoopBody |
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{ |
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public: |
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resizeNNInvokerSSE4(const Mat& _src, Mat &_dst, int *_x_ofs, double _ify) : |
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ParallelLoopBody(), src(_src), dst(_dst), x_ofs(_x_ofs), |
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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=SSE4.2 |
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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 sseWidth = width - (width & 0x3); |
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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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__m128i CV_DECL_ALIGNED(64) pixels = _mm_set1_epi16(0); |
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for(x = 0; x < sseWidth; x += 4) |
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{ |
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int imm = *(int*)(S + x_ofs[x + 0]); |
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pixels = _mm_insert_epi32(pixels, imm, 0); |
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imm = *(int*)(S + x_ofs[x + 1]); |
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pixels = _mm_insert_epi32(pixels, imm, 1); |
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imm = *(int*)(S + x_ofs[x + 2]); |
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pixels = _mm_insert_epi32(pixels, imm, 2); |
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imm = *(int*)(S + x_ofs[x + 3]); |
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pixels = _mm_insert_epi32(pixels, imm, 3); |
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_mm_storeu_si128((__m128i*)D, pixels); |
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D += 16; |
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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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private: |
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const Mat& src; |
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Mat& dst; |
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int* x_ofs; |
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double ify; |
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resizeNNInvokerSSE4(const resizeNNInvokerSSE4&); |
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resizeNNInvokerSSE4& operator=(const resizeNNInvokerSSE4&); |
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}; |
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void resizeNN2_SSE4_1(const Range& range, const Mat& src, Mat &dst, int *x_ofs, double ify) |
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{ |
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resizeNNInvokerSSE2 invoker(src, dst, x_ofs, ify); |
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parallel_for_(range, invoker, dst.total() / (double)(1 << 16)); |
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} |
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void resizeNN4_SSE4_1(const Range& range, const Mat& src, Mat &dst, int *x_ofs, double ify) |
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{ |
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resizeNNInvokerSSE4 invoker(src, dst, x_ofs, ify); |
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parallel_for_(range, invoker, dst.total() / (double)(1 << 16)); |
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} |
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int VResizeLanczos4Vec_32f16u_SSE41(const float** src, ushort* dst, const float* beta, int width) |
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{ |
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const float *S0 = src[0], *S1 = src[1], *S2 = src[2], *S3 = src[3], |
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*S4 = src[4], *S5 = src[5], *S6 = src[6], *S7 = src[7]; |
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int x = 0; |
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__m128 v_b0 = _mm_set1_ps(beta[0]), v_b1 = _mm_set1_ps(beta[1]), |
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v_b2 = _mm_set1_ps(beta[2]), v_b3 = _mm_set1_ps(beta[3]), |
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v_b4 = _mm_set1_ps(beta[4]), v_b5 = _mm_set1_ps(beta[5]), |
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v_b6 = _mm_set1_ps(beta[6]), v_b7 = _mm_set1_ps(beta[7]); |
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for (; x <= width - 8; x += 8) |
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{ |
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__m128 v_dst0 = _mm_mul_ps(v_b0, _mm_loadu_ps(S0 + x)); |
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b1, _mm_loadu_ps(S1 + x))); |
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b2, _mm_loadu_ps(S2 + x))); |
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b3, _mm_loadu_ps(S3 + x))); |
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b4, _mm_loadu_ps(S4 + x))); |
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b5, _mm_loadu_ps(S5 + x))); |
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b6, _mm_loadu_ps(S6 + x))); |
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v_dst0 = _mm_add_ps(v_dst0, _mm_mul_ps(v_b7, _mm_loadu_ps(S7 + x))); |
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__m128 v_dst1 = _mm_mul_ps(v_b0, _mm_loadu_ps(S0 + x + 4)); |
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b1, _mm_loadu_ps(S1 + x + 4))); |
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b2, _mm_loadu_ps(S2 + x + 4))); |
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b3, _mm_loadu_ps(S3 + x + 4))); |
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b4, _mm_loadu_ps(S4 + x + 4))); |
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b5, _mm_loadu_ps(S5 + x + 4))); |
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b6, _mm_loadu_ps(S6 + x + 4))); |
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v_dst1 = _mm_add_ps(v_dst1, _mm_mul_ps(v_b7, _mm_loadu_ps(S7 + x + 4))); |
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__m128i v_dsti0 = _mm_cvtps_epi32(v_dst0); |
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__m128i v_dsti1 = _mm_cvtps_epi32(v_dst1); |
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_mm_storeu_si128((__m128i *)(dst + x), _mm_packus_epi32(v_dsti0, v_dsti1)); |
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} |
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return x; |
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} |
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} |
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} |
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/* End of file. */
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