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https://github.com/opencv/opencv.git
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Merge remote-tracking branch 'upstream/3.4' into merge-3.4
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@@ -180,6 +180,18 @@ using namespace CV_CPU_OPTIMIZATION_HAL_NAMESPACE;
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#endif
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// AVX512 can be used together with SSE2 and AVX2, so
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// we define those sets of intrinsics at once.
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// For some of AVX512 intrinsics get v512_ prefix instead of v_, e.g. v512_load() vs v_load().
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// Wide intrinsics will be mapped to v512_ counterparts in this case(e.g. vx_load() => v512_load())
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#if CV_AVX512_SKX
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#define CV__SIMD_FORWARD 512
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#include "opencv2/core/hal/intrin_forward.hpp"
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#include "opencv2/core/hal/intrin_avx512.hpp"
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#endif
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//! @cond IGNORED
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namespace cv {
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@@ -321,13 +333,41 @@ template<typename _Tp> struct V_RegTraits
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CV_DEF_REG_TRAITS(v256, v_float64x4, double, f64, v_float64x4, void, void, v_int64x4, v_int32x8);
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#endif
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#if CV_SIMD512
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CV_DEF_REG_TRAITS(v512, v_uint8x64, uchar, u8, v_uint8x64, v_uint16x32, v_uint32x16, v_int8x64, void);
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CV_DEF_REG_TRAITS(v512, v_int8x64, schar, s8, v_uint8x64, v_int16x32, v_int32x16, v_int8x64, void);
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CV_DEF_REG_TRAITS(v512, v_uint16x32, ushort, u16, v_uint16x32, v_uint32x16, v_uint64x8, v_int16x32, void);
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CV_DEF_REG_TRAITS(v512, v_int16x32, short, s16, v_uint16x32, v_int32x16, v_int64x8, v_int16x32, void);
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CV_DEF_REG_TRAITS(v512, v_uint32x16, unsigned, u32, v_uint32x16, v_uint64x8, void, v_int32x16, void);
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CV_DEF_REG_TRAITS(v512, v_int32x16, int, s32, v_uint32x16, v_int64x8, void, v_int32x16, void);
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CV_DEF_REG_TRAITS(v512, v_float32x16, float, f32, v_float32x16, v_float64x8, void, v_int32x16, v_int32x16);
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CV_DEF_REG_TRAITS(v512, v_uint64x8, uint64, u64, v_uint64x8, void, void, v_int64x8, void);
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CV_DEF_REG_TRAITS(v512, v_int64x8, int64, s64, v_uint64x8, void, void, v_int64x8, void);
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CV_DEF_REG_TRAITS(v512, v_float64x8, double, f64, v_float64x8, void, void, v_int64x8, v_int32x16);
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#endif
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#if CV_SIMD512 && (!defined(CV__SIMD_FORCE_WIDTH) || CV__SIMD_FORCE_WIDTH == 512)
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#define CV__SIMD_NAMESPACE simd512
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namespace CV__SIMD_NAMESPACE {
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#define CV_SIMD 1
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#define CV_SIMD_64F CV_SIMD512_64F
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#define CV_SIMD_FP16 CV_SIMD512_FP16
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#define CV_SIMD_WIDTH 64
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// TODO typedef v_uint8 / v_int32 / etc types here
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typedef v_uint8x64 v_uint8;
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typedef v_int8x64 v_int8;
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typedef v_uint16x32 v_uint16;
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typedef v_int16x32 v_int16;
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typedef v_uint32x16 v_uint32;
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typedef v_int32x16 v_int32;
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typedef v_uint64x8 v_uint64;
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typedef v_int64x8 v_int64;
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typedef v_float32x16 v_float32;
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CV_INTRIN_DEFINE_WIDE_INTRIN_ALL_TYPES(v512)
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#if CV_SIMD512_64F
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typedef v_float64x8 v_float64;
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CV_INTRIN_DEFINE_WIDE_INTRIN(double, v_float64, f64, v512, load)
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#endif
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inline void vx_cleanup() { v512_cleanup(); }
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} // namespace
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using namespace CV__SIMD_NAMESPACE;
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#elif CV_SIMD256 && (!defined(CV__SIMD_FORCE_WIDTH) || CV__SIMD_FORCE_WIDTH == 256)
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@@ -1083,7 +1083,7 @@ OPENCV_HAL_IMPL_AVX_REDUCE_8(v_int32x8, int, max, _mm_max_epi32)
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__m128 v1 = _v256_extract_high(a.val); \
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v0 = intrin(v0, v1); \
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v0 = intrin(v0, _mm_permute_ps(v0, _MM_SHUFFLE(0, 0, 3, 2))); \
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v0 = intrin(v0, _mm_permute_ps(v0, _MM_SHUFFLE(0, 0, 0, 3))); \
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v0 = intrin(v0, _mm_permute_ps(v0, _MM_SHUFFLE(0, 0, 0, 1))); \
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return _mm_cvtss_f32(v0); \
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}
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File diff suppressed because it is too large
Load Diff
@@ -14,9 +14,32 @@ namespace cv
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CV_CPU_OPTIMIZATION_HAL_NAMESPACE_BEGIN
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/** Types **/
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#if CV__SIMD_FORWARD == 512
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// [todo] 512
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#error "AVX512 Not implemented yet"
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#if CV__SIMD_FORWARD == 1024
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// [todo] 1024
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#error "1024-long ops not implemented yet"
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#elif CV__SIMD_FORWARD == 512
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// 512
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#define __CV_VX(fun) v512_##fun
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#define __CV_V_UINT8 v_uint8x64
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#define __CV_V_INT8 v_int8x64
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#define __CV_V_UINT16 v_uint16x32
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#define __CV_V_INT16 v_int16x32
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#define __CV_V_UINT32 v_uint32x16
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#define __CV_V_INT32 v_int32x16
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#define __CV_V_UINT64 v_uint64x8
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#define __CV_V_INT64 v_int64x8
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#define __CV_V_FLOAT32 v_float32x16
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#define __CV_V_FLOAT64 v_float64x8
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struct v_uint8x64;
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struct v_int8x64;
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struct v_uint16x32;
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struct v_int16x32;
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struct v_uint32x16;
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struct v_int32x16;
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struct v_uint64x8;
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struct v_int64x8;
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struct v_float32x16;
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struct v_float64x8;
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#elif CV__SIMD_FORWARD == 256
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// 256
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#define __CV_VX(fun) v256_##fun
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