mirror of https://github.com/opencv/opencv.git
* Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX * Add resize.lasx.cpp for Loongson SIMD acceleration * Add imgwarp.lasx.cpp for Loongson SIMD acceleration * Add LASX acceleration support for dnn/conv * Add CV_PAUSE(v) for Loongarch * Set LASX by default on Loongarch64 * LoongArch: tune test threshold for Core/HAL.mat_decomp/15 Co-authored-by: shengwenxue <shengwenxue@loongson.cn>pull/22495/head
wxsheng
2 years ago
committed by
GitHub
parent
866191478f
commit
4154bd0667
24 changed files with 5071 additions and 6 deletions
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#include <stdio.h> |
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#if defined(__loongarch_asx) |
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# include <lasxintrin.h> |
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# define CV_LASX 1 |
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#endif |
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#if defined CV_LASX |
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int test() |
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{ |
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const float src[] = { 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f }; |
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v8f32 val = (v8f32)__lasx_xvld((const float*)(src), 0); |
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return __lasx_xvpickve2gr_w(__lasx_xvftint_w_s (val), 7); |
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} |
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#else |
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#error "LASX is not supported" |
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#endif |
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int main() |
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{ |
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printf("%d\n", test()); |
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return 0; |
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} |
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/*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,
|
||||
// copy or use the software.
|
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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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//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
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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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// * 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 "imgwarp.hpp" |
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#include "opencv2/core/hal/intrin.hpp" |
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namespace cv |
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{ |
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namespace opt_LASX |
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{ |
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int warpAffineBlockline(int *adelta, int *bdelta, short* xy, short* alpha, int X0, int Y0, int bw) |
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{ |
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const int AB_BITS = MAX(10, (int)INTER_BITS); |
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int x1 = 0; |
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__m256i fxy_mask = _v256_setall_w(INTER_TAB_SIZE - 1); |
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__m256i XX = _v256_setall_w(X0), YY = _v256_setall_w(Y0); |
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for (; x1 <= bw - 16; x1 += 16) |
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{ |
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__m256i tx0, tx1, ty0, ty1; |
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tx0 = __lasx_xvadd_w(__lasx_xvld((const __m256i*)(adelta + x1), 0), XX); |
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ty0 = __lasx_xvadd_w(__lasx_xvld((const __m256i*)(bdelta + x1), 0), YY); |
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tx1 = __lasx_xvadd_w(__lasx_xvld((const __m256i*)(adelta + x1), 8*4), XX); |
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ty1 = __lasx_xvadd_w(__lasx_xvld((const __m256i*)(bdelta + x1), 8*4), YY); |
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tx0 = __lasx_xvsrai_w(tx0, AB_BITS - INTER_BITS); |
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ty0 = __lasx_xvsrai_w(ty0, AB_BITS - INTER_BITS); |
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tx1 = __lasx_xvsrai_w(tx1, AB_BITS - INTER_BITS); |
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ty1 = __lasx_xvsrai_w(ty1, AB_BITS - INTER_BITS); |
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__m256i fx_ = _lasx_packs_w(__lasx_xvand_v(tx0, fxy_mask), |
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__lasx_xvand_v(tx1, fxy_mask)); |
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__m256i fy_ = _lasx_packs_w(__lasx_xvand_v(ty0, fxy_mask), |
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__lasx_xvand_v(ty1, fxy_mask)); |
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tx0 = _lasx_packs_w(__lasx_xvsrai_w(tx0, INTER_BITS), |
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__lasx_xvsrai_w(tx1, INTER_BITS)); |
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ty0 = _lasx_packs_w(__lasx_xvsrai_w(ty0, INTER_BITS), |
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__lasx_xvsrai_w(ty1, INTER_BITS)); |
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fx_ = __lasx_xvsadd_h(fx_, __lasx_xvslli_h(fy_, INTER_BITS)); |
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fx_ = __lasx_xvpermi_d(fx_, (3 << 6) + (1 << 4) + (2 << 2) + 0); |
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__lasx_xvst(__lasx_xvilvl_h(ty0, tx0), (__m256i*)(xy + x1 * 2), 0); |
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__lasx_xvst(__lasx_xvilvh_h(ty0, tx0), (__m256i*)(xy + x1 * 2), 16*2); |
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__lasx_xvst(fx_, (__m256i*)(alpha + x1), 0); |
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} |
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return x1; |
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} |
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} |
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} |
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/* End of file. */ |
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@ -0,0 +1,249 @@ |
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/*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.
|
||||
// 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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// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
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// Copyright (C) 2014-2015, Itseez Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
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// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * 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
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// 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
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (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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#include "opencv2/core/hal/intrin.hpp" |
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namespace cv |
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{ |
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namespace opt_LASX |
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{ |
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class resizeNNInvokerLASX4 CV_FINAL : |
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public ParallelLoopBody |
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{ |
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public: |
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resizeNNInvokerLASX4(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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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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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) pixels = v256_lut_quads((schar *)S, (int *)addr).val; |
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__lasx_xvst(pixels, (int*)D, 0); |
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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) pixels = v256_lut_quads((schar *)S, (int *)addr).val; |
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__lasx_xvst(pixels, (int*)D, 0); |
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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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} |
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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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resizeNNInvokerLASX4(const resizeNNInvokerLASX4&); |
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resizeNNInvokerLASX4& operator=(const resizeNNInvokerLASX4&); |
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}; |
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class resizeNNInvokerLASX2 CV_FINAL : |
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public ParallelLoopBody |
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{ |
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public: |
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resizeNNInvokerLASX2(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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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 & 0xf); |
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const __m256i CV_DECL_ALIGNED(64) shuffle_mask = _v256_set_b(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 = _v256_set_w(7, 5, 3, 1, 6, 4, 2, 0); |
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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) pixels1 = v256_lut_quads((schar *)S, (int *)addr).val; |
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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) pixels2 = v256_lut_quads((schar *)S2, (int *)addr2).val; |
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const __m256i h_mask = __lasx_xvreplgr2vr_w(0xFFFF0000); |
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__m256i CV_DECL_ALIGNED(64) unpacked = __lasx_xvbitsel_v(pixels1, pixels2, h_mask); |
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__m256i CV_DECL_ALIGNED(64) bytes_shuffled = __lasx_xvshuf_b(unpacked, unpacked, shuffle_mask); |
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__m256i CV_DECL_ALIGNED(64) ints_permuted = __lasx_xvperm_w(bytes_shuffled, permute_mask); |
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__lasx_xvst(ints_permuted, (int*)D, 0); |
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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) pixels1 = v256_lut_quads((schar *)S, (int *)addr).val; |
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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) pixels2 = v256_lut_quads((schar *)S2, (int *)addr2).val; |
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const __m256i h_mask = __lasx_xvreplgr2vr_w(0xFFFF0000); |
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__m256i CV_DECL_ALIGNED(64) unpacked = __lasx_xvbitsel_v(pixels1, pixels2, h_mask); |
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__m256i CV_DECL_ALIGNED(64) bytes_shuffled = __lasx_xvshuf_b(unpacked, unpacked, shuffle_mask); |
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__m256i CV_DECL_ALIGNED(64) ints_permuted = __lasx_xvperm_w(bytes_shuffled, permute_mask); |
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__lasx_xvst(ints_permuted, (int*)D, 0); |
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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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} |
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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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resizeNNInvokerLASX2(const resizeNNInvokerLASX2&); |
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resizeNNInvokerLASX2& operator=(const resizeNNInvokerLASX2&); |
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}; |
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void resizeNN2_LASX(const Range& range, const Mat& src, Mat &dst, int *x_ofs, double ify) |
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{ |
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resizeNNInvokerLASX2 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_LASX(const Range& range, const Mat& src, Mat &dst, int *x_ofs, double ify) |
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{ |
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resizeNNInvokerLASX4 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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} |
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} |
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/* End of file. */ |
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