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0044047782
Check range for type-dependant function tables #25598 Address https://github.com/opencv/opencv/issues/24703 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
453 lines
13 KiB
C++
453 lines
13 KiB
C++
// 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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#include "precomp.hpp"
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#include "stat.hpp"
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namespace cv {
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CV_CPU_OPTIMIZATION_NAMESPACE_BEGIN
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SumFunc getSumFunc(int depth);
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#ifndef CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY
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template <typename T, typename ST>
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struct Sum_SIMD
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{
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int operator () (const T *, const uchar *, ST *, int, int) const
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{
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return 0;
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}
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};
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#if (CV_SIMD || CV_SIMD_SCALABLE)
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template <>
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struct Sum_SIMD<uchar, int>
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{
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int operator () (const uchar * src0, const uchar * mask, int * dst, int len, int cn) const
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{
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if (mask || (cn != 1 && cn != 2 && cn != 4))
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return 0;
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len *= cn;
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int x = 0;
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v_uint32 v_sum = vx_setzero_u32();
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int len0 = len & -VTraits<v_uint8>::vlanes();
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while (x < len0)
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{
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const int len_tmp = min(x + 256*VTraits<v_uint16>::vlanes(), len0);
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v_uint16 v_sum16 = vx_setzero_u16();
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for (; x < len_tmp; x += VTraits<v_uint8>::vlanes())
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{
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v_uint16 v_src0, v_src1;
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v_expand(vx_load(src0 + x), v_src0, v_src1);
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v_sum16 = v_add(v_sum16, v_add(v_src0, v_src1));
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}
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v_uint32 v_half0, v_half1;
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v_expand(v_sum16, v_half0, v_half1);
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v_sum = v_add(v_sum, v_add(v_half0, v_half1));
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}
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if (x <= len - VTraits<v_uint16>::vlanes())
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{
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v_uint32 v_half0, v_half1;
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v_expand(vx_load_expand(src0 + x), v_half0, v_half1);
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v_sum = v_add(v_sum, v_add(v_half0, v_half1));
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x += VTraits<v_uint16>::vlanes();
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}
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if (x <= len - VTraits<v_uint32>::vlanes())
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{
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v_sum = v_add(v_sum, vx_load_expand_q(src0 + x));
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x += VTraits<v_uint32>::vlanes();
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}
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if (cn == 1)
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*dst += v_reduce_sum(v_sum);
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else
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{
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uint32_t CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[VTraits<v_uint32>::max_nlanes];
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v_store_aligned(ar, v_sum);
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for (int i = 0; i < VTraits<v_uint32>::vlanes(); ++i)
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dst[i % cn] += ar[i];
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}
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v_cleanup();
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return x / cn;
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}
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};
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template <>
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struct Sum_SIMD<schar, int>
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{
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int operator () (const schar * src0, const uchar * mask, int * dst, int len, int cn) const
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{
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if (mask || (cn != 1 && cn != 2 && cn != 4))
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return 0;
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len *= cn;
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int x = 0;
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v_int32 v_sum = vx_setzero_s32();
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int len0 = len & -VTraits<v_int8>::vlanes();
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while (x < len0)
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{
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const int len_tmp = min(x + 256*VTraits<v_int16>::vlanes(), len0);
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v_int16 v_sum16 = vx_setzero_s16();
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for (; x < len_tmp; x += VTraits<v_int8>::vlanes())
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{
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v_int16 v_src0, v_src1;
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v_expand(vx_load(src0 + x), v_src0, v_src1);
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v_sum16 = v_add(v_sum16, v_add(v_src0, v_src1));
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}
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v_int32 v_half0, v_half1;
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v_expand(v_sum16, v_half0, v_half1);
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v_sum = v_add(v_sum, v_add(v_half0, v_half1));
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}
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if (x <= len - VTraits<v_int16>::vlanes())
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{
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v_int32 v_half0, v_half1;
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v_expand(vx_load_expand(src0 + x), v_half0, v_half1);
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v_sum = v_add(v_sum, v_add(v_half0, v_half1));
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x += VTraits<v_int16>::vlanes();
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}
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if (x <= len - VTraits<v_int32>::vlanes())
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{
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v_sum = v_add(v_sum, vx_load_expand_q(src0 + x));
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x += VTraits<v_int32>::vlanes();
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}
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if (cn == 1)
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*dst += v_reduce_sum(v_sum);
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else
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{
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int32_t CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[VTraits<v_int32>::max_nlanes];
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v_store_aligned(ar, v_sum);
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for (int i = 0; i < VTraits<v_int32>::vlanes(); ++i)
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dst[i % cn] += ar[i];
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}
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v_cleanup();
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return x / cn;
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}
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};
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template <>
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struct Sum_SIMD<ushort, int>
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{
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int operator () (const ushort * src0, const uchar * mask, int * dst, int len, int cn) const
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{
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if (mask || (cn != 1 && cn != 2 && cn != 4))
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return 0;
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len *= cn;
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int x = 0;
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v_uint32 v_sum = vx_setzero_u32();
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for (; x <= len - VTraits<v_uint16>::vlanes(); x += VTraits<v_uint16>::vlanes())
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{
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v_uint32 v_src0, v_src1;
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v_expand(vx_load(src0 + x), v_src0, v_src1);
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v_sum = v_add(v_sum, v_add(v_src0, v_src1));
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}
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if (x <= len - VTraits<v_uint32>::vlanes())
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{
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v_sum = v_add(v_sum, vx_load_expand(src0 + x));
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x += VTraits<v_uint32>::vlanes();
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}
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if (cn == 1)
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*dst += v_reduce_sum(v_sum);
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else
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{
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uint32_t CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[VTraits<v_uint32>::max_nlanes];
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v_store_aligned(ar, v_sum);
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for (int i = 0; i < VTraits<v_uint32>::vlanes(); ++i)
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dst[i % cn] += ar[i];
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}
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v_cleanup();
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return x / cn;
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}
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};
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template <>
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struct Sum_SIMD<short, int>
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{
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int operator () (const short * src0, const uchar * mask, int * dst, int len, int cn) const
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{
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if (mask || (cn != 1 && cn != 2 && cn != 4))
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return 0;
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len *= cn;
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int x = 0;
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v_int32 v_sum = vx_setzero_s32();
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for (; x <= len - VTraits<v_int16>::vlanes(); x += VTraits<v_int16>::vlanes())
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{
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v_int32 v_src0, v_src1;
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v_expand(vx_load(src0 + x), v_src0, v_src1);
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v_sum = v_add(v_sum, v_add(v_src0, v_src1));
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}
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if (x <= len - VTraits<v_int32>::vlanes())
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{
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v_sum = v_add(v_sum, vx_load_expand(src0 + x));
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x += VTraits<v_int32>::vlanes();
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}
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if (cn == 1)
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*dst += v_reduce_sum(v_sum);
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else
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{
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int32_t CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[VTraits<v_int32>::max_nlanes];
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v_store_aligned(ar, v_sum);
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for (int i = 0; i < VTraits<v_int32>::vlanes(); ++i)
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dst[i % cn] += ar[i];
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}
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v_cleanup();
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return x / cn;
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}
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};
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#if (CV_SIMD_64F || CV_SIMD_SCALABLE_64F)
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template <>
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struct Sum_SIMD<int, double>
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{
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int operator () (const int * src0, const uchar * mask, double * dst, int len, int cn) const
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{
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if (mask || (cn != 1 && cn != 2 && cn != 4))
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return 0;
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len *= cn;
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int x = 0;
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v_float64 v_sum0 = vx_setzero_f64();
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v_float64 v_sum1 = vx_setzero_f64();
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for (; x <= len - 2 * VTraits<v_int32>::vlanes(); x += 2 * VTraits<v_int32>::vlanes())
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{
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v_int32 v_src0 = vx_load(src0 + x);
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v_int32 v_src1 = vx_load(src0 + x + VTraits<v_int32>::vlanes());
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v_sum0 = v_add(v_sum0, v_add(v_cvt_f64(v_src0), v_cvt_f64(v_src1)));
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v_sum1 = v_add(v_sum1, v_add(v_cvt_f64_high(v_src0), v_cvt_f64_high(v_src1)));
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}
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#if CV_SIMD256 || CV_SIMD512
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double CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[VTraits<v_float64>::max_nlanes];
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v_store_aligned(ar, v_add(v_sum0, v_sum1));
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for (int i = 0; i < VTraits<v_float64>::vlanes(); ++i)
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dst[i % cn] += ar[i];
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#else
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double CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[2 * VTraits<v_float64>::max_nlanes];
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v_store_aligned(ar, v_sum0);
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v_store_aligned(ar + VTraits<v_float64>::vlanes(), v_sum1);
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for (int i = 0; i < 2 * VTraits<v_float64>::vlanes(); ++i)
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dst[i % cn] += ar[i];
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#endif
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v_cleanup();
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return x / cn;
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}
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};
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template <>
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struct Sum_SIMD<float, double>
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{
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int operator () (const float * src0, const uchar * mask, double * dst, int len, int cn) const
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{
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if (mask || (cn != 1 && cn != 2 && cn != 4))
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return 0;
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len *= cn;
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int x = 0;
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v_float64 v_sum0 = vx_setzero_f64();
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v_float64 v_sum1 = vx_setzero_f64();
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for (; x <= len - 2 * VTraits<v_float32>::vlanes(); x += 2 * VTraits<v_float32>::vlanes())
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{
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v_float32 v_src0 = vx_load(src0 + x);
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v_float32 v_src1 = vx_load(src0 + x + VTraits<v_float32>::vlanes());
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v_sum0 = v_add(v_sum0, v_add(v_cvt_f64(v_src0), v_cvt_f64(v_src1)));
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v_sum1 = v_add(v_sum1, v_add(v_cvt_f64_high(v_src0), v_cvt_f64_high(v_src1)));
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}
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#if CV_SIMD256 || CV_SIMD512
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double CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[VTraits<v_float64>::max_nlanes];
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v_store_aligned(ar, v_add(v_sum0, v_sum1));
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for (int i = 0; i < VTraits<v_float64>::vlanes(); ++i)
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dst[i % cn] += ar[i];
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#else
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double CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[2 * VTraits<v_float64>::max_nlanes];
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v_store_aligned(ar, v_sum0);
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v_store_aligned(ar + VTraits<v_float64>::vlanes(), v_sum1);
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for (int i = 0; i < 2 * VTraits<v_float64>::vlanes(); ++i)
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dst[i % cn] += ar[i];
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#endif
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v_cleanup();
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return x / cn;
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}
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};
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#endif
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#endif
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template<typename T, typename ST>
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static int sum_(const T* src0, const uchar* mask, ST* dst, int len, int cn )
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{
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const T* src = src0;
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if( !mask )
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{
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Sum_SIMD<T, ST> vop;
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int i = vop(src0, mask, dst, len, cn), k = cn % 4;
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src += i * cn;
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if( k == 1 )
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{
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ST s0 = dst[0];
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#if CV_ENABLE_UNROLLED
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for(; i <= len - 4; i += 4, src += cn*4 )
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s0 += src[0] + src[cn] + src[cn*2] + src[cn*3];
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#endif
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for( ; i < len; i++, src += cn )
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s0 += src[0];
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dst[0] = s0;
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}
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else if( k == 2 )
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{
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ST s0 = dst[0], s1 = dst[1];
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for( ; i < len; i++, src += cn )
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{
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s0 += src[0];
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s1 += src[1];
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}
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dst[0] = s0;
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dst[1] = s1;
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}
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else if( k == 3 )
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{
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ST s0 = dst[0], s1 = dst[1], s2 = dst[2];
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for( ; i < len; i++, src += cn )
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{
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s0 += src[0];
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s1 += src[1];
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s2 += src[2];
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}
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dst[0] = s0;
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dst[1] = s1;
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dst[2] = s2;
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}
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for( ; k < cn; k += 4 )
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{
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src = src0 + i*cn + k;
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ST s0 = dst[k], s1 = dst[k+1], s2 = dst[k+2], s3 = dst[k+3];
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for( ; i < len; i++, src += cn )
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{
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s0 += src[0]; s1 += src[1];
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s2 += src[2]; s3 += src[3];
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}
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dst[k] = s0;
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dst[k+1] = s1;
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dst[k+2] = s2;
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dst[k+3] = s3;
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}
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return len;
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}
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int i, nzm = 0;
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if( cn == 1 )
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{
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ST s = dst[0];
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for( i = 0; i < len; i++ )
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if( mask[i] )
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{
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s += src[i];
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nzm++;
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}
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dst[0] = s;
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}
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else if( cn == 3 )
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{
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ST s0 = dst[0], s1 = dst[1], s2 = dst[2];
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for( i = 0; i < len; i++, src += 3 )
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if( mask[i] )
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{
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s0 += src[0];
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s1 += src[1];
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s2 += src[2];
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nzm++;
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}
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dst[0] = s0;
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dst[1] = s1;
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dst[2] = s2;
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}
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else
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{
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for( i = 0; i < len; i++, src += cn )
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if( mask[i] )
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{
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int k = 0;
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#if CV_ENABLE_UNROLLED
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for( ; k <= cn - 4; k += 4 )
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{
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ST s0, s1;
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s0 = dst[k] + src[k];
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s1 = dst[k+1] + src[k+1];
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dst[k] = s0; dst[k+1] = s1;
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s0 = dst[k+2] + src[k+2];
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s1 = dst[k+3] + src[k+3];
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dst[k+2] = s0; dst[k+3] = s1;
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}
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#endif
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for( ; k < cn; k++ )
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dst[k] += src[k];
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nzm++;
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}
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}
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return nzm;
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}
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static int sum8u( const uchar* src, const uchar* mask, int* dst, int len, int cn )
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{ CV_INSTRUMENT_REGION(); return sum_(src, mask, dst, len, cn); }
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static int sum8s( const schar* src, const uchar* mask, int* dst, int len, int cn )
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{ CV_INSTRUMENT_REGION(); return sum_(src, mask, dst, len, cn); }
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static int sum16u( const ushort* src, const uchar* mask, int* dst, int len, int cn )
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{ CV_INSTRUMENT_REGION(); return sum_(src, mask, dst, len, cn); }
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static int sum16s( const short* src, const uchar* mask, int* dst, int len, int cn )
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{ CV_INSTRUMENT_REGION(); return sum_(src, mask, dst, len, cn); }
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static int sum32s( const int* src, const uchar* mask, double* dst, int len, int cn )
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{ CV_INSTRUMENT_REGION(); return sum_(src, mask, dst, len, cn); }
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static int sum32f( const float* src, const uchar* mask, double* dst, int len, int cn )
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{ CV_INSTRUMENT_REGION(); return sum_(src, mask, dst, len, cn); }
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static int sum64f( const double* src, const uchar* mask, double* dst, int len, int cn )
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{ CV_INSTRUMENT_REGION(); return sum_(src, mask, dst, len, cn); }
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SumFunc getSumFunc(int depth)
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{
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static SumFunc sumTab[CV_DEPTH_MAX] =
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{
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(SumFunc)GET_OPTIMIZED(sum8u), (SumFunc)sum8s,
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(SumFunc)sum16u, (SumFunc)sum16s,
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(SumFunc)sum32s,
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(SumFunc)GET_OPTIMIZED(sum32f), (SumFunc)sum64f,
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0
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};
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return sumTab[depth];
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}
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#endif
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CV_CPU_OPTIMIZATION_NAMESPACE_END
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} // namespace
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