Quelle xsimd_avx.hpp
Sprache: C
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/***************************************************************************
* Copyright (c) Johan Mabille, Sylvain Corlay, Wolf Vollprecht and *
* Martin Renou *
* Copyright (c) QuantStack *
* Copyright (c) Serge Guelton *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#ifndef XSIMD_AVX_HPP
#define XSIMD_AVX_HPP
#include <complex>
#include <limits>
#include <type_traits>
#include "../types/xsimd_avx_register.hpp"
namespace xsimd
{
namespace kernel
{
using namespace types;
// fwd
template < class A, class T, size_t I>
XSIMD_INLINE batch<T, A> insert(batch<T, A> const& self, T val, index<I>, requires_arch<gener ic>) noexcept;
template <class A>
XSIMD_INLINE void transpose(batch<uint16_t, A>* matrix_begin, batch<uint16_t, A>* matrix_end, requires_arch<generic>) noexcept;
template <class A>
XSIMD_INLINE void transpose(batch<uint8_t, A>* matrix_begin, batch<uint8_t, A>* matrix_end, requires_arch<generic>) noexcept;
namespace detail
{
XSIMD_INLINE void split_avx(__m256i val, __m128i& low, __m128i& high) noexcept
{
low = _mm256_castsi256_si128(val);
high = _mm256_extractf128_si256(val, 1);
}
XSIMD_INLINE void split_avx(__m256 val, __m128& low, __m128& high) noexcept
{
low = _mm256_castps256_ps128(val);
high = _mm256_extractf128_ps(val, 1);
}
XSIMD_INLINE void split_avx(__m256d val, __m128d& low, __m128d& high) noexcept
{
low = _mm256_castpd256_pd128(val);
high = _mm256_extractf128_pd(val, 1);
}
XSIMD_INLINE __m256i merge_sse(__m128i low, __m128i high) noexcept
{
return _mm256_insertf128_si256(_mm256_castsi128_si256(low), high, 1);
}
XSIMD_INLINE __m256 merge_sse(__m128 low, __m128 high) noexcept
{
return _mm256_insertf128_ps(_mm256_castps128_ps256(low), high, 1);
}
XSIMD_INLINE __m256d merge_sse(__m128d low, __m128d high) noexcept
{
return _mm256_insertf128_pd(_mm256_castpd128_pd256(low), high, 1);
}
template <class F>
XSIMD_INLINE __m256i fwd_to_sse(F f, __m256i self) noexcept
{
__m128i self_low, self_high;
split_avx(self, self_low, self_high);
__m128i res_low = f(self_low);
__m128i res_high = f(self_high);
return merge_sse(res_low, res_high);
}
template <class F>
XSIMD_INLINE __m256i fwd_to_sse(F f, __m256i self, __m256i other) noexcept
{
__m128i self_low, self_high, other_low, other_high;
split_avx(self, self_low, self_high);
split_avx(other, other_low, other_high);
__m128i res_low = f(self_low, other_low);
__m128i res_high = f(self_high, other_high);
return merge_sse(res_low, res_high);
}
template <class F>
XSIMD_INLINE __m256i fwd_to_sse(F f, __m256i self, int32_t other) noexcept
{
__m128i self_low, self_high;
split_avx(self, self_low, self_high);
__m128i res_low = f(self_low, other);
__m128i res_high = f(self_high, other);
return merge_sse(res_low, res_high);
}
}
// abs
template <class A>
XSIMD_INLINE batch<float, A> abs(batch<float, A> const& self, requires_arch<avx>) noexcept
{
__m256 sign_mask = _mm256_set1_ps(-0.f); // -0.f = 1 << 31
return _mm256_andnot_ps(sign_mask, self);
}
template <class A>
XSIMD_INLINE batch<double, A> abs(batch<double, A> const& self, requires_arch<avx>) noexcept
{
__m256d sign_mask = _mm256_set1_pd(-0.f); // -0.f = 1 << 31
return _mm256_andnot_pd(sign_mask, self);
}
// add
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> add(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return add(batch<T, sse4_2>(s), batch<T, sse4_2>(o)); },
self, other);
}
template <class A>
XSIMD_INLINE batch<float, A> add(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_add_ps(self, other);
}
template <class A>
XSIMD_INLINE batch<double, A> add(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_add_pd(self, other);
}
// all
template <class A>
XSIMD_INLINE bool all(batch_bool<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_testc_ps(self, batch_bool<float, A>(true)) != 0;
}
template <class A>
XSIMD_INLINE bool all(batch_bool<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_testc_pd(self, batch_bool<double, A>(true)) != 0;
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE bool all(batch_bool<T, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_testc_si256(self, batch_bool<T, A>(true)) != 0;
}
// any
template <class A>
XSIMD_INLINE bool any(batch_bool<float, A> const& self, requires_arch<avx>) noexcept
{
return !_mm256_testz_ps(self, self);
}
template <class A>
XSIMD_INLINE bool any(batch_bool<double, A> const& self, requires_arch<avx>) noexcept
{
return !_mm256_testz_pd(self, self);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE bool any(batch_bool<T, A> const& self, requires_arch<avx>) noexcept
{
return !_mm256_testz_si256(self, self);
}
// batch_bool_cast
template <class A, class T_out, class T_in>
XSIMD_INLINE batch_bool<T_out, A> batch_bool_cast(batch_bool<T_in, A> const& self, batch_bool<T_out, A> const&, requires_arch<avx>) noexcept
{
return { bitwise_cast<T_out>(batch<T_in, A>(self.data)).data };
}
// bitwise_and
template <class A>
XSIMD_INLINE batch<float, A> bitwise_and(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_and_ps(self, other);
}
template <class A>
XSIMD_INLINE batch<double, A> bitwise_and(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_and_pd(self, other);
}
template <class A>
XSIMD_INLINE batch_bool<float, A> bitwise_and(batch_bool<float, A> const& self, batch_bool<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_and_ps(self, other);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> bitwise_and(batch_bool<double, A> const& self, batch_bool<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_and_pd(self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_and(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return bitwise_and(batch<T, sse4_2>(s), batch<T, sse4_2>(o)); },
self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> bitwise_and(batch_bool<T, A> const& self, batch_bool<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return bitwise_and(batch<T, sse4_2>(s), batch<T, sse4_2>(o)); },
self, other);
}
// bitwise_andnot
template <class A>
XSIMD_INLINE batch<float, A> bitwise_andnot(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_andnot_ps(other, self);
}
template <class A>
XSIMD_INLINE batch<double, A> bitwise_andnot(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_andnot_pd(other, self);
}
template <class A>
XSIMD_INLINE batch_bool<float, A> bitwise_andnot(batch_bool<float, A> const& self, batch_bool<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_andnot_ps(other, self);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> bitwise_andnot(batch_bool<double, A> const& self, batch_bool<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_andnot_pd(other, self);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_andnot(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return bitwise_andnot(batch<T, sse4_2>(s), batch<T, sse4_2>(o)); },
self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> bitwise_andnot(batch_bool<T, A> const& self, batch_bool<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return bitwise_andnot(batch<T, sse4_2>(s), batch<T, sse4_2>(o)); },
self, other);
}
// bitwise_lshift
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_lshift(batch<T, A> const& self, int32_t other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, int32_t o) noexcept
{ return bitwise_lshift(batch<T, sse4_2>(s), o, sse4_2 {}); },
self, other);
}
// bitwise_not
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_not(batch<T, A> const& self, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s) noexcept
{ return bitwise_not(batch<T, sse4_2>(s), sse4_2 {}); },
self);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> bitwise_not(batch_bool<T, A> const& self, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s) noexcept
{ return bitwise_not(batch_bool<T, sse4_2>(s), sse4_2 {}); },
self);
}
// bitwise_or
template <class A>
XSIMD_INLINE batch<float, A> bitwise_or(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_or_ps(self, other);
}
template <class A>
XSIMD_INLINE batch<double, A> bitwise_or(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_or_pd(self, other);
}
template <class A>
XSIMD_INLINE batch_bool<float, A> bitwise_or(batch_bool<float, A> const& self, batch_bool<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_or_ps(self, other);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> bitwise_or(batch_bool<double, A> const& self, batch_bool<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_or_pd(self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_or(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return bitwise_or(batch<T, sse4_2>(s), batch<T, sse4_2>(o)); },
self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> bitwise_or(batch_bool<T, A> const& self, batch_bool<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return bitwise_or(batch_bool<T, sse4_2>(s), batch_bool<T, sse4_2>(o)); },
self, other);
}
// bitwise_rshift
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_rshift(batch<T, A> const& self, int32_t other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, int32_t o) noexcept
{ return bitwise_rshift(batch<T, sse4_2>(s), o, sse4_2 {}); },
self, other);
}
// bitwise_xor
template <class A>
XSIMD_INLINE batch<float, A> bitwise_xor(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_xor_ps(self, other);
}
template <class A>
XSIMD_INLINE batch<double, A> bitwise_xor(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_xor_pd(self, other);
}
template <class A>
XSIMD_INLINE batch_bool<float, A> bitwise_xor(batch_bool<float, A> const& self, batch_bool<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_xor_ps(self, other);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> bitwise_xor(batch_bool<double, A> const& self, batch_bool<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_xor_pd(self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_xor(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return bitwise_xor(batch<T, sse4_2>(s), batch<T, sse4_2>(o), sse4_2 {}); },
self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_xor(batch_bool<T, A> const& self, batch_bool<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return bitwise_xor(batch_bool<T, sse4_2>(s), batch_bool<T, sse4_2>(o), sse4_2 {}); },
self, other);
}
// bitwise_cast
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<float, A> bitwise_cast(batch<T, A> const& self, batch<float, A> const&, requires_arch<avx>) noexcept
{
return _mm256_castsi256_ps(self);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<double, A> bitwise_cast(batch<T, A> const& self, batch<double, A> const&, requires_arch<avx>) noexcept
{
return _mm256_castsi256_pd(self);
}
template <class A, class T, class Tp, class = typename std::enable_if<std::is_integral<typename std::common_type<T, Tp>::type>::value, void>::type>
XSIMD_INLINE batch<Tp, A> bitwise_cast(batch<T, A> const& self, batch<Tp, A> const&, requires_arch<avx>) noexcept
{
return batch<Tp, A>(self.data);
}
template <class A>
XSIMD_INLINE batch<double, A> bitwise_cast(batch<float, A> const& self, batch<double, A> const&, requires_arch<avx>) noexcept
{
return _mm256_castps_pd(self);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_cast(batch<float, A> const& self, batch<T, A> const&, requires_arch<avx>) noexcept
{
return _mm256_castps_si256(self);
}
template <class A>
XSIMD_INLINE batch<float, A> bitwise_cast(batch<double, A> const& self, batch<float, A> const&, requires_arch<avx>) noexcept
{
return _mm256_castpd_ps(self);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> bitwise_cast(batch<double, A> const& self, batch<T, A> const&, requires_arch<avx>) noexcept
{
return _mm256_castpd_si256(self);
}
// bitwise_not
template <class A>
XSIMD_INLINE batch<float, A> bitwise_not(batch<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_xor_ps(self, _mm256_castsi256_ps(_mm256_set1_epi32(-1)));
}
template <class A>
XSIMD_INLINE batch<double, A> bitwise_not(batch<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_xor_pd(self, _mm256_castsi256_pd(_mm256_set1_epi32(-1)));
}
template <class A>
XSIMD_INLINE batch_bool<float, A> bitwise_not(batch_bool<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_xor_ps(self, _mm256_castsi256_ps(_mm256_set1_epi32(-1)));
}
template <class A>
XSIMD_INLINE batch_bool<double, A> bitwise_not(batch_bool<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_xor_pd(self, _mm256_castsi256_pd(_mm256_set1_epi32(-1)));
}
// broadcast
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> broadcast(T val, requires_arch<avx>) noexcept
{
XSIMD_IF_CONSTEXPR(sizeof(T) == 1)
{
return _mm256_set1_epi8(val);
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 2)
{
return _mm256_set1_epi16(val);
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 4)
{
return _mm256_set1_epi32(val);
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 8)
{
return _mm256_set1_epi64x(val);
}
else
{
assert(false && "unsupported");
return {};
}
}
template <class A>
XSIMD_INLINE batch<float, A> broadcast(float val, requires_arch<avx>) noexcept
{
return _mm256_set1_ps(val);
}
template <class A>
XSIMD_INLINE batch<double, A> broadcast(double val, requires_arch<avx>) noexcept
{
return _mm256_set1_pd(val);
}
// ceil
template <class A>
XSIMD_INLINE batch<float, A> ceil(batch<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_ceil_ps(self);
}
template <class A>
XSIMD_INLINE batch<double, A> ceil(batch<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_ceil_pd(self);
}
namespace detail
{
// On clang, _mm256_extractf128_ps is built upon build_shufflevector
// which require index parameter to be a constant
template <int index, class B>
XSIMD_INLINE B get_half_complex_f(const B& real, const B& imag) noexcept
{
__m128 tmp0 = _mm256_extractf128_ps(real, index);
__m128 tmp1 = _mm256_extractf128_ps(imag, index);
__m128 tmp2 = _mm_unpackhi_ps(tmp0, tmp1);
tmp0 = _mm_unpacklo_ps(tmp0, tmp1);
__m256 res = real;
res = _mm256_insertf128_ps(res, tmp0, 0);
res = _mm256_insertf128_ps(res, tmp2, 1);
return res;
}
template <int index, class B>
XSIMD_INLINE B get_half_complex_d(const B& real, const B& imag) noexcept
{
__m128d tmp0 = _mm256_extractf128_pd(real, index);
__m128d tmp1 = _mm256_extractf128_pd(imag, index);
__m128d tmp2 = _mm_unpackhi_pd(tmp0, tmp1);
tmp0 = _mm_unpacklo_pd(tmp0, tmp1);
__m256d res = real;
res = _mm256_insertf128_pd(res, tmp0, 0);
res = _mm256_insertf128_pd(res, tmp2, 1);
return res;
}
// complex_low
template <class A>
XSIMD_INLINE batch<float, A> complex_low(batch<std::complex<float>, A> const& self, requires_arch<avx>) noexcept
{
return get_half_complex_f<0>(self.real(), self.imag());
}
template <class A>
XSIMD_INLINE batch<double, A> complex_low(batch<std::complex<double>, A> const& self, requires_arch<avx>) noexcept
{
return get_half_complex_d<0>(self.real(), self.imag());
}
// complex_high
template <class A>
XSIMD_INLINE batch<float, A> complex_high(batch<std::complex<float>, A> const& self, requires_arch<avx>) noexcept
{
return get_half_complex_f<1>(self.real(), self.imag());
}
template <class A>
XSIMD_INLINE batch<double, A> complex_high(batch<std::complex<double>, A> const& self, requires_arch<avx>) noexcept
{
return get_half_complex_d<1>(self.real(), self.imag());
}
}
// fast_cast
namespace detail
{
template <class A>
XSIMD_INLINE batch<float, A> fast_cast(batch<int32_t, A> const& self, batch<float, A> const&, requires_arch<avx>) noexcept
{
return _mm256_cvtepi32_ps(self);
}
template <class A>
XSIMD_INLINE batch<int32_t, A> fast_cast(batch<float, A> const& self, batch<int32_t, A> const&, requires_arch<avx>) noexcept
{
return _mm256_cvttps_epi32(self);
}
}
// decr_if
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> decr_if(batch<T, A> const& self, batch_bool<T, A> const& mask, requires_arch<avx>) noexcept
{
return self + batch<T, A>(mask.data);
}
// div
template <class A>
XSIMD_INLINE batch<float, A> div(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_div_ps(self, other);
}
template <class A>
XSIMD_INLINE batch<double, A> div(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_div_pd(self, other);
}
// eq
template <class A>
XSIMD_INLINE batch_bool<float, A> eq(batch<float, A> const& self, batch<float, A> const& ;other, requires_arch<avx>) noexcept
{
return _mm256_cmp_ps(self, other, _CMP_EQ_OQ);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> eq(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_cmp_pd(self, other, _CMP_EQ_OQ);
}
template <class A>
XSIMD_INLINE batch_bool<float, A> eq(batch_bool<float, A> const& self, batch_bool<float, A> const& other, requires_arch<avx>) noexcept
{
return ~(self != other);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> eq(batch_bool<double, A> const& self, batch_bool<double, A> const& other, requires_arch<avx>) noexcept
{
return ~(self != other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> eq(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return eq(batch<T, sse4_2>(s), batch<T, sse4_2>(o), sse4_2 {}); },
self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> eq(batch_bool<T, A> const& self, batch_bool<T, A> const& other, requires_arch<avx>) noexcept
{
return ~(self != other);
}
// floor
template <class A>
XSIMD_INLINE batch<float, A> floor(batch<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_floor_ps(self);
}
template <class A>
XSIMD_INLINE batch<double, A> floor(batch<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_floor_pd(self);
}
// from_mask
template <class A>
XSIMD_INLINE batch_bool<float, A> from_mask(batch_bool<float, A> const&, uint64_t mask, requires_arch<avx>) noexcept
{
alignas(A::alignment()) static const uint64_t lut32[] = {
0x0000000000000000ul,
0x00000000FFFFFFFFul,
0xFFFFFFFF00000000ul,
0xFFFFFFFFFFFFFFFFul,
};
assert(!(mask & ~0xFFul) && "inbound mask");
return _mm256_castsi256_ps(_mm256_setr_epi64x(lut32[mask & 0x3], lut32[(mask >> 2) & 0x3], lut32[(mask >> 4) & 0x3], lut32[mask >> 6]));
}
template <class A>
XSIMD_INLINE batch_bool<double, A> from_mask(batch_bool<double, A> const&, uint64_t mask, requires_arch<avx>) noexcept
{
alignas(A::alignment()) static const uint64_t lut64[][4] = {
{ 0x0000000000000000ul, 0x0000000000000000ul, 0x0000000000000000ul, 0x0000000000000000ul },
{ 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul, 0x0000000000000000ul, 0x0000000000000000ul },
{ 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul, 0x0000000000000000ul },
{ 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul, 0x0000000000000000ul },
{ 0x0000000000000000ul, 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul },
{ 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul },
{ 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul },
{ 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul },
{ 0x0000000000000000ul, 0x0000000000000000ul, 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul },
{ 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul, 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul },
{ 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul },
{ 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul },
{ 0x0000000000000000ul, 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul },
{ 0xFFFFFFFFFFFFFFFFul, 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul },
{ 0x0000000000000000ul, 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul },
{ 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul, 0xFFFFFFFFFFFFFFFFul },
};
assert(!(mask & ~0xFul) && "inbound mask");
return _mm256_castsi256_pd(_mm256_load_si256((const __m256i*)lut64[mask]));
}
template <class T, class A, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> from_mask(batch_bool<T, A> const&, uint64_t mask, requires_arch<avx>) noexcept
{
alignas(A::alignment()) static const uint32_t lut32[] = {
0x00000000,
0x000000FF,
0x0000FF00,
0x0000FFFF,
0x00FF0000,
0x00FF00FF,
0x00FFFF00,
0x00FFFFFF,
0xFF000000,
0xFF0000FF,
0xFF00FF00,
0xFF00FFFF,
0xFFFF0000,
0xFFFF00FF,
0xFFFFFF00,
0xFFFFFFFF,
};
alignas(A::alignment()) static const uint64_t lut64[] = {
0x0000000000000000ul,
0x000000000000FFFFul,
0x00000000FFFF0000ul,
0x00000000FFFFFFFFul,
0x0000FFFF00000000ul,
0x0000FFFF0000FFFFul,
0x0000FFFFFFFF0000ul,
0x0000FFFFFFFFFFFFul,
0xFFFF000000000000ul,
0xFFFF00000000FFFFul,
0xFFFF0000FFFF0000ul,
0xFFFF0000FFFFFFFFul,
0xFFFFFFFF00000000ul,
0xFFFFFFFF0000FFFFul,
0xFFFFFFFFFFFF0000ul,
0xFFFFFFFFFFFFFFFFul,
};
XSIMD_IF_CONSTEXPR(sizeof(T) == 1)
{
assert(!(mask & ~0xFFFFFFFFul) && "inbound mask");
return _mm256_setr_epi32(lut32[mask & 0xF], lut32[(mask >> 4) & 0xF],
lut32[(mask >> 8) & 0xF], lut32[(mask >> 12) & 0xF],
lut32[(mask >> 16) & 0xF], lut32[(mask >> 20) & 0xF],
lut32[(mask >> 24) & 0xF], lut32[mask >> 28]);
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 2)
{
assert(!(mask & ~0xFFFFul) && "inbound mask");
return _mm256_setr_epi64x(lut64[mask & 0xF], lut64[(mask >> 4) & 0xF], lut64[(mask >> 8) & 0xF], lut64[(mask >> 12) & 0xF]);
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 4)
{
return _mm256_castps_si256(from_mask(batch_bool<float, A> {}, mask, avx {}));
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 8)
{
return _mm256_castpd_si256(from_mask(batch_bool<double, A> {}, mask, avx {}));
}
}
// haddp
template <class A>
XSIMD_INLINE batch<float, A> haddp(batch<float, A> const* row, requires_arch<avx>) noexcept
{
// row = (a,b,c,d,e,f,g,h)
// tmp0 = (a0+a1, a2+a3, b0+b1, b2+b3, a4+a5, a6+a7, b4+b5, b6+b7)
__m256 tmp0 = _mm256_hadd_ps(row[0], row[1]);
// tmp1 = (c0+c1, c2+c3, d1+d2, d2+d3, c4+c5, c6+c7, d4+d5, d6+d7)
__m256 tmp1 = _mm256_hadd_ps(row[2], row[3]);
// tmp1 = (a0+a1+a2+a3, b0+b1+b2+b3, c0+c1+c2+c3, d0+d1+d2+d3,
// a4+a5+a6+a7, b4+b5+b6+b7, c4+c5+c6+c7, d4+d5+d6+d7)
tmp1 = _mm256_hadd_ps(tmp0, tmp1);
// tmp0 = (e0+e1, e2+e3, f0+f1, f2+f3, e4+e5, e6+e7, f4+f5, f6+f7)
tmp0 = _mm256_hadd_ps(row[4], row[5]);
// tmp2 = (g0+g1, g2+g3, h0+h1, h2+h3, g4+g5, g6+g7, h4+h5, h6+h7)
__m256 tmp2 = _mm256_hadd_ps(row[6], row[7]);
// tmp2 = (e0+e1+e2+e3, f0+f1+f2+f3, g0+g1+g2+g3, h0+h1+h2+h3,
// e4+e5+e6+e7, f4+f5+f6+f7, g4+g5+g6+g7, h4+h5+h6+h7)
tmp2 = _mm256_hadd_ps(tmp0, tmp2);
// tmp0 = (a0+a1+a2+a3, b0+b1+b2+b3, c0+c1+c2+c3, d0+d1+d2+d3,
// e4+e5+e6+e7, f4+f5+f6+f7, g4+g5+g6+g7, h4+h5+h6+h7)
tmp0 = _mm256_blend_ps(tmp1, tmp2, 0b11110000);
// tmp1 = (a4+a5+a6+a7, b4+b5+b6+b7, c4+c5+c6+c7, d4+d5+d6+d7,
// e0+e1+e2+e3, f0+f1+f2+f3, g0+g1+g2+g3, h0+h1+h2+h3)
tmp1 = _mm256_permute2f128_ps(tmp1, tmp2, 0x21);
return _mm256_add_ps(tmp0, tmp1);
}
template <class A>
XSIMD_INLINE batch<double, A> haddp(batch<double, A> const* row, requires_arch<avx>) noexcept
{
// row = (a,b,c,d)
// tmp0 = (a0+a1, b0+b1, a2+a3, b2+b3)
__m256d tmp0 = _mm256_hadd_pd(row[0], row[1]);
// tmp1 = (c0+c1, d0+d1, c2+c3, d2+d3)
__m256d tmp1 = _mm256_hadd_pd(row[2], row[3]);
// tmp2 = (a0+a1, b0+b1, c2+c3, d2+d3)
__m256d tmp2 = _mm256_blend_pd(tmp0, tmp1, 0b1100);
// tmp1 = (a2+a3, b2+b3, c2+c3, d2+d3)
tmp1 = _mm256_permute2f128_pd(tmp0, tmp1, 0x21);
return _mm256_add_pd(tmp1, tmp2);
}
// incr_if
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> incr_if(batch<T, A> const& self, batch_bool<T, A> const& mask, requires_arch<avx>) noexcept
{
return self - batch<T, A>(mask.data);
}
// insert
template <class A, class T, size_t I, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> insert(batch<T, A> const& self, T val, index<I> pos, requires_arch<avx>) noexcept
{
#if !defined(_MSC_VER) || _MSC_VER > 1900
XSIMD_IF_CONSTEXPR(sizeof(T) == 1)
{
return _mm256_insert_epi8(self, val, I);
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 2)
{
return _mm256_insert_epi16(self, val, I);
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 4)
{
return _mm256_insert_epi32(self, val, I);
}
else
{
return insert(self, val, pos, generic {});
}
#endif
return insert(self, val, pos, generic {});
}
// isnan
template <class A>
XSIMD_INLINE batch_bool<float, A> isnan(batch<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_cmp_ps(self, self, _CMP_UNORD_Q);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> isnan(batch<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_cmp_pd(self, self, _CMP_UNORD_Q);
}
// le
template <class A>
XSIMD_INLINE batch_bool<float, A> le(batch<float, A> const& self, batch<float, A> const& ;other, requires_arch<avx>) noexcept
{
return _mm256_cmp_ps(self, other, _CMP_LE_OQ);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> le(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_cmp_pd(self, other, _CMP_LE_OQ);
}
// load_aligned
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> load_aligned(T const* mem, convert<T>, requires_arch<avx>) noexcept
{
return _mm256_load_si256((__m256i const*)mem);
}
template <class A>
XSIMD_INLINE batch<float, A> load_aligned(float const* mem, convert<float>, requires_arch<avx>) noexcept
{
return _mm256_load_ps(mem);
}
template <class A>
XSIMD_INLINE batch<double, A> load_aligned(double const* mem, convert<double>, requires_arch<avx>) noexcept
{
return _mm256_load_pd(mem);
}
namespace detail
{
// load_complex
template <class A>
XSIMD_INLINE batch<std::complex<float>, A> load_complex(batch<float, A> const& hi, batch<float, A> const& lo, requires_arch<avx>) noexcept
{
using batch_type = batch<float, A>;
__m128 tmp0 = _mm256_extractf128_ps(hi, 0);
__m128 tmp1 = _mm256_extractf128_ps(hi, 1);
__m128 tmp_real = _mm_shuffle_ps(tmp0, tmp1, _MM_SHUFFLE(2, 0, 2, 0));
__m128 tmp_imag = _mm_shuffle_ps(tmp0, tmp1, _MM_SHUFFLE(3, 1, 3, 1));
batch_type real = _mm256_castps128_ps256(tmp_real);
batch_type imag = _mm256_castps128_ps256(tmp_imag);
tmp0 = _mm256_extractf128_ps(lo, 0);
tmp1 = _mm256_extractf128_ps(lo, 1);
tmp_real = _mm_shuffle_ps(tmp0, tmp1, _MM_SHUFFLE(2, 0, 2, 0));
tmp_imag = _mm_shuffle_ps(tmp0, tmp1, _MM_SHUFFLE(3, 1, 3, 1));
real = _mm256_insertf128_ps(real, tmp_real, 1);
imag = _mm256_insertf128_ps(imag, tmp_imag, 1);
return { real, imag };
}
template <class A>
XSIMD_INLINE batch<std::complex<double>, A> load_complex(batch<double, A> const& hi, batch<double, A> const& lo, requires_arch<avx>) noexcept
{
using batch_type = batch<double, A>;
__m128d tmp0 = _mm256_extractf128_pd(hi, 0);
__m128d tmp1 = _mm256_extractf128_pd(hi, 1);
batch_type real = _mm256_castpd128_pd256(_mm_unpacklo_pd(tmp0, tmp1));
batch_type imag = _mm256_castpd128_pd256(_mm_unpackhi_pd(tmp0, tmp1));
tmp0 = _mm256_extractf128_pd(lo, 0);
tmp1 = _mm256_extractf128_pd(lo, 1);
__m256d re_tmp1 = _mm256_insertf128_pd(real, _mm_unpacklo_pd(tmp0, tmp1), 1);
__m256d im_tmp1 = _mm256_insertf128_pd(imag, _mm_unpackhi_pd(tmp0, tmp1), 1);
real = _mm256_blend_pd(real, re_tmp1, 12);
imag = _mm256_blend_pd(imag, im_tmp1, 12);
return { real, imag };
}
}
// load_unaligned
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> load_unaligned(T const* mem, convert<T>, requires_arch<avx>) noexcept
{
return _mm256_loadu_si256((__m256i const*)mem);
}
template <class A>
XSIMD_INLINE batch<float, A> load_unaligned(float const* mem, convert<float>, requires_arch<avx>) noexcept
{
return _mm256_loadu_ps(mem);
}
template <class A>
XSIMD_INLINE batch<double, A> load_unaligned(double const* mem, convert<double>, requires_arch<avx>) noexcept
{
return _mm256_loadu_pd(mem);
}
// lt
template <class A>
XSIMD_INLINE batch_bool<float, A> lt(batch<float, A> const& self, batch<float, A> const& ;other, requires_arch<avx>) noexcept
{
return _mm256_cmp_ps(self, other, _CMP_LT_OQ);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> lt(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_cmp_pd(self, other, _CMP_LT_OQ);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> lt(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return lt(batch<T, sse4_2>(s), batch<T, sse4_2>(o)); },
self, other);
}
// mask
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE uint64_t mask(batch_bool<T, A> const& self, requires_arch<avx>) noexcept
{
XSIMD_IF_CONSTEXPR(sizeof(T) == 1 || sizeof(T) == 2)
{
__m128i self_low, self_high;
detail::split_avx(self, self_low, self_high);
return mask(batch_bool<T, sse4_2>(self_low), sse4_2 {}) | (mask(batch_bool<T, sse4_2>(self_high), sse4_2 {}) << (128 / (8 * sizeof(T))));
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 4)
{
return _mm256_movemask_ps(_mm256_castsi256_ps(self));
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 8)
{
return _mm256_movemask_pd(_mm256_castsi256_pd(self));
}
else
{
assert(false && "unsupported arch/op combination");
return {};
}
}
template <class A>
XSIMD_INLINE uint64_t mask(batch_bool<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_movemask_ps(self);
}
template <class A>
XSIMD_INLINE uint64_t mask(batch_bool<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_movemask_pd(self);
}
// max
template <class A>
XSIMD_INLINE batch<float, A> max(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_max_ps(self, other);
}
template <class A>
XSIMD_INLINE batch<double, A> max(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_max_pd(self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> max(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return select(self > other, self, other);
}
// min
template <class A>
XSIMD_INLINE batch<float, A> min(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_min_ps(self, other);
}
template <class A>
XSIMD_INLINE batch<double, A> min(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_min_pd(self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> min(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return select(self <= other, self, other);
}
// mul
template <class A>
XSIMD_INLINE batch<float, A> mul(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_mul_ps(self, other);
}
template <class A>
XSIMD_INLINE batch<double, A> mul(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_mul_pd(self, other);
}
// nearbyint
template <class A>
XSIMD_INLINE batch<float, A> nearbyint(batch<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_round_ps(self, _MM_FROUND_TO_NEAREST_INT);
}
template <class A>
XSIMD_INLINE batch<double, A> nearbyint(batch<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_round_pd(self, _MM_FROUND_TO_NEAREST_INT);
}
// nearbyint_as_int
template <class A>
XSIMD_INLINE batch<int32_t, A> nearbyint_as_int(batch<float, A> const& self,
requires_arch<avx>) noexcept
{
return _mm256_cvtps_epi32(self);
}
// neg
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> neg(batch<T, A> const& self, requires_arch<avx>) noexcept
{
return 0 - self;
}
template <class A>
batch<float, A> neg(batch<float, A> const& self, requires_arch<avx>)
{
return _mm256_xor_ps(self, _mm256_castsi256_ps(_mm256_set1_epi32(0x80000000)));
}
template <class A>
XSIMD_INLINE batch<double, A> neg(batch<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_xor_pd(self, _mm256_castsi256_pd(_mm256_set1_epi64x(0x8000000000000000)));
}
// neq
template <class A>
XSIMD_INLINE batch_bool<float, A> neq(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_cmp_ps(self, other, _CMP_NEQ_UQ);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> neq(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_cmp_pd(self, other, _CMP_NEQ_UQ);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> neq(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return ~(self == other);
}
template <class A>
XSIMD_INLINE batch_bool<float, A> neq(batch_bool<float, A> const& self, batch_bool<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_xor_ps(self, other);
}
template <class A>
XSIMD_INLINE batch_bool<double, A> neq(batch_bool<double, A> const& self, batch_bool<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_xor_pd(self, other);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> neq(batch_bool<T, A> const& self, batch_bool<T, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_castps_si256(_mm256_xor_ps(_mm256_castsi256_ps(self.data), _mm256_castsi256_ps(other.data)));
}
// reciprocal
template <class A>
XSIMD_INLINE batch<float, A> reciprocal(batch<float, A> const& self,
kernel::requires_arch<avx>) noexcept
{
return _mm256_rcp_ps(self);
}
// reduce_add
template <class A>
XSIMD_INLINE float reduce_add(batch<float, A> const& rhs, requires_arch<avx>) noexcept
{
// Warning about _mm256_hadd_ps:
// _mm256_hadd_ps(a,b) gives
// (a0+a1,a2+a3,b0+b1,b2+b3,a4+a5,a6+a7,b4+b5,b6+b7). Hence we can't
// rely on a naive use of this method
// rhs = (x0, x1, x2, x3, x4, x5, x6, x7)
// tmp = (x4, x5, x6, x7, x0, x1, x2, x3)
__m256 tmp = _mm256_permute2f128_ps(rhs, rhs, 1);
// tmp = (x4+x0, x5+x1, x6+x2, x7+x3, x0+x4, x1+x5, x2+x6, x3+x7)
tmp = _mm256_add_ps(rhs, tmp);
// tmp = (x4+x0+x5+x1, x6+x2+x7+x3, -, -, -, -, -, -)
tmp = _mm256_hadd_ps(tmp, tmp);
// tmp = (x4+x0+x5+x1+x6+x2+x7+x3, -, -, -, -, -, -, -)
tmp = _mm256_hadd_ps(tmp, tmp);
return _mm_cvtss_f32(_mm256_extractf128_ps(tmp, 0));
}
template <class A>
XSIMD_INLINE double reduce_add(batch<double, A> const& rhs, requires_arch<avx>) noexcept
{
// rhs = (x0, x1, x2, x3)
// tmp = (x2, x3, x0, x1)
__m256d tmp = _mm256_permute2f128_pd(rhs, rhs, 1);
// tmp = (x2+x0, x3+x1, -, -)
tmp = _mm256_add_pd(rhs, tmp);
// tmp = (x2+x0+x3+x1, -, -, -)
tmp = _mm256_hadd_pd(tmp, tmp);
return _mm_cvtsd_f64(_mm256_extractf128_pd(tmp, 0));
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE T reduce_add(batch<T, A> const& self, requires_arch<avx>) noexcept
{
__m128i low, high;
detail::split_avx(self, low, high);
batch<T, sse4_2> blow(low), bhigh(high);
return reduce_add(blow) + reduce_add(bhigh);
}
// reduce_max
template <class A, class T, class _ = typename std::enable_if<(sizeof(T) <= 2), void>::type>
XSIMD_INLINE T reduce_max(batch<T, A> const& self, requires_arch<avx>) noexcept
{
constexpr auto mask = detail::shuffle(1, 0);
batch<T, A> step = _mm256_permute2f128_si256(self, self, mask);
batch<T, A> acc = max(self, step);
__m128i low = _mm256_castsi256_si128(acc);
return reduce_max(batch<T, sse4_2>(low));
}
// reduce_min
template <class A, class T, class _ = typename std::enable_if<(sizeof(T) <= 2), void>::type>
XSIMD_INLINE T reduce_min(batch<T, A> const& self, requires_arch<avx>) noexcept
{
constexpr auto mask = detail::shuffle(1, 0);
batch<T, A> step = _mm256_permute2f128_si256(self, self, mask);
batch<T, A> acc = min(self, step);
__m128i low = _mm256_castsi256_si128(acc);
return reduce_min(batch<T, sse4_2>(low));
}
// rsqrt
template <class A>
XSIMD_INLINE batch<float, A> rsqrt(batch<float, A> const& val, requires_arch<avx>) noexcept
{
return _mm256_rsqrt_ps(val);
}
template <class A>
XSIMD_INLINE batch<double, A> rsqrt(batch<double, A> const& val, requires_arch<avx>) noexcept
{
return _mm256_cvtps_pd(_mm_rsqrt_ps(_mm256_cvtpd_ps(val)));
}
// sadd
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> sadd(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
if (std::is_signed<T>::value)
{
auto mask = (other >> (8 * sizeof(T) - 1));
auto self_pos_branch = min(std::numeric_limits<T>::max() - other, self);
auto self_neg_branch = max(std::numeric_limits<T>::min() - other, self);
return other + select(batch_bool<T, A>(mask.data), self_neg_branch, self_pos_branch);
}
else
{
const auto diffmax = std::numeric_limits<T>::max() - self;
const auto mindiff = min(diffmax, other);
return self + mindiff;
}
}
// select
template <class A>
XSIMD_INLINE batch<float, A> select(batch_bool<float, A> const& cond, batch<float, A> const& true_br, batch<float, A> const& false_br, requires_arch<avx>) noexcept
{
return _mm256_blendv_ps(false_br, true_br, cond);
}
template <class A>
XSIMD_INLINE batch<double, A> select(batch_bool<double, A> const& cond, batch<double, A> const& true_br, batch<double, A> const& false_br, requires_arch<avx>) noexcept
{
return _mm256_blendv_pd(false_br, true_br, cond);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> select(batch_bool<T, A> const& cond, batch<T, A> const& true_br, batch<T, A> const& false_br, requires_arch<avx>) noexcept
{
__m128i cond_low, cond_hi;
detail::split_avx(cond, cond_low, cond_hi);
__m128i true_low, true_hi;
detail::split_avx(true_br, true_low, true_hi);
__m128i false_low, false_hi;
detail::split_avx(false_br, false_low, false_hi);
__m128i res_low = select(batch_bool<T, sse4_2>(cond_low), batch<T, sse4_2>(true_low), batch<T, sse4_2>(false_low), sse4_2 {});
__m128i res_hi = select(batch_bool<T, sse4_2>(cond_hi), batch<T, sse4_2>(true_hi), batch<T, sse4_2>(false_hi), sse4_2 {});
return detail::merge_sse(res_low, res_hi);
}
template <class A, class T, bool... Values, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> select(batch_bool_constant<T, A, Values...> const&, batch<T, A> const& true_br, batch<T, A> const& false_br, requires_arch<avx>) noexcept
{
return select(batch_bool<T, A> { Values... }, true_br, false_br, avx2 {});
}
template <class A, bool... Values>
XSIMD_INLINE batch<float, A> select(batch_bool_constant<float, A, Values...> const&, batch<float, A> const& true_br, batch<float, A> const& false_br, requires_arch<avx>) noexcept
{
constexpr auto mask = batch_bool_constant<float, A, Values...>::mask();
return _mm256_blend_ps(false_br, true_br, mask);
}
template <class A, bool... Values>
XSIMD_INLINE batch<double, A> select(batch_bool_constant<double, A, Values...> const&, batch<double, A> const& true_br, batch<double, A> const& false_br, requires_arch<avx>) noexcept
{
constexpr auto mask = batch_bool_constant<double, A, Values...>::mask();
return _mm256_blend_pd(false_br, true_br, mask);
}
// set
template <class A, class... Values>
XSIMD_INLINE batch<float, A> set(batch<float, A> const&, requires_arch<avx>, Values... values) noexcept
{
static_assert(sizeof...(Values) == batch<float, A>::size, "consistent init");
return _mm256_setr_ps(values...);
}
template <class A, class... Values>
XSIMD_INLINE batch<double, A> set(batch<double, A> const&, requires_arch<avx>, Values... values) noexcept
{
static_assert(sizeof...(Values) == batch<double, A>::size, "consistent init");
return _mm256_setr_pd(values...);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> set(batch<T, A> const&, requires_arch<avx>, T v0, T v1, T v2, T v3) noexcept
{
return _mm256_set_epi64x(v3, v2, v1, v0);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> set(batch<T, A> const&, requires_arch<avx>, T v0, T v1, T v2, T v3, T v4, T v5, T v6, T v7) noexcept
{
return _mm256_setr_epi32(v0, v1, v2, v3, v4, v5, v6, v7);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> set(batch<T, A> const&, requires_arch<avx>, T v0, T v1, T v2, T v3, T v4, T v5, T v6, T v7, T v8, T v9, T v10, T v11, T v12, T v13, T v14, T v15) noexcept
{
return _mm256_setr_epi16(v0, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> set(batch<T, A> const&, requires_arch<avx>, T v0, T v1, T v2, T v3, T v4, T v5, T v6, T v7, T v8, T v9, T v10, T v11, T v12, T v13, T v14, T v15,
T v16, T v17, T v18, T v19, T v20, T v21, T v22, T v23, T v24, T v25, T v26, T v27, T v28, T v29, T v30, T v31) noexcept
{
return _mm256_setr_epi8(v0, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31);
}
template <class A, class T, class... Values, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch_bool<T, A> set(batch_bool<T, A> const&, requires_arch<avx>, Values... values) noexcept
{
return set(batch<T, A>(), A {}, static_cast<T>(values ? -1LL : 0LL)...).data;
}
template <class A, class... Values>
XSIMD_INLINE batch_bool<float, A> set(batch_bool<float, A> const&, requires_arch<avx>, Values... values) noexcept
{
static_assert(sizeof...(Values) == batch_bool<float, A>::size, "consistent init");
return _mm256_castsi256_ps(set(batch<int32_t, A>(), A {}, static_cast<int32_t>(values ? -1LL : 0LL)...).data);
}
template <class A, class... Values>
XSIMD_INLINE batch_bool<double, A> set(batch_bool<double, A> const&, requires_arch<avx>, Values... values) noexcept
{
static_assert(sizeof...(Values) == batch_bool<double, A>::size, "consistent init");
return _mm256_castsi256_pd(set(batch<int64_t, A>(), A {}, static_cast<int64_t>(values ? -1LL : 0LL)...).data);
}
// shuffle
template <class A, class ITy, ITy I0, ITy I1, ITy I2, ITy I3, ITy I4, ITy I5, ITy I6, ITy I7>
XSIMD_INLINE batch<float, A> shuffle(batch<float, A> const& x, batch<float, A> const& y, batch_constant<ITy, A, I0, I1, I2, I3, I4, I5, I6, I7> mask, requires_arch<avx>) noexcept
{
constexpr uint32_t smask = detail::mod_shuffle(I0, I1, I2, I3);
// shuffle within lane
if (I4 == (I0 + 4) && I5 == (I1 + 4) && I6 == (I2 + 4) && I7 == (I3 + 4) && I0 < 4 && I1 < 4 && I2 >= 8 && I2 < 12 && I3 >= 8 && I3 < 12)
return _mm256_shuffle_ps(x, y, smask);
// shuffle within opposite lane
if (I4 == (I0 + 4) && I5 == (I1 + 4) && I6 == (I2 + 4) && I7 == (I3 + 4) && I2 < 4 && I3 < 4 && I0 >= 8 && I0 < 12 && I1 >= 8 && I1 < 12)
return _mm256_shuffle_ps(y, x, smask);
return shuffle(x, y, mask, generic {});
}
template <class A, class ITy, ITy I0, ITy I1, ITy I2, ITy I3>
XSIMD_INLINE batch<double, A> shuffle(batch<double, A> const& x, batch<double, A> const& ;y, batch_constant<ITy, A, I0, I1, I2, I3> mask, requires_arch<avx>) noexcept
{
constexpr uint32_t smask = (I0 & 0x1) | ((I1 & 0x1) << 1) | ((I2 & 0x1) << 2) | ((I3 & 0x1) << 3);
// shuffle within lane
if (I0 < 2 && I1 >= 4 && I1 < 6 && I2 >= 2 && I2 < 4 && I3 >= 6)
return _mm256_shuffle_pd(x, y, smask);
// shuffle within opposite lane
if (I1 < 2 && I0 >= 4 && I0 < 6 && I3 >= 2 && I3 < 4 && I2 >= 6)
return _mm256_shuffle_pd(y, x, smask);
return shuffle(x, y, mask, generic {});
}
// slide_left
template <size_t N, class A, class T>
XSIMD_INLINE batch<T, A> slide_left(batch<T, A> const& x, requires_arch<avx>) noexcept
{
constexpr unsigned BitCount = N * 8;
if (BitCount == 0)
{
return x;
}
if (BitCount >= 256)
{
return batch<T, A>(T(0));
}
if (BitCount > 128)
{
constexpr unsigned M = (BitCount - 128) / 8;
__m128i low = _mm256_castsi256_si128(x);
auto y = _mm_slli_si128(low, M);
__m256i zero = _mm256_setzero_si256();
return _mm256_insertf128_si256(zero, y, 1);
}
if (BitCount == 128)
{
__m128i low = _mm256_castsi256_si128(x);
__m256i zero = _mm256_setzero_si256();
return _mm256_insertf128_si256(zero, low, 1);
}
// shifting by [0, 128[ bits
constexpr unsigned M = BitCount / 8;
__m128i low = _mm256_castsi256_si128(x);
auto ylow = _mm_slli_si128(low, M);
auto zlow = _mm_srli_si128(low, 16 - M);
__m128i high = _mm256_extractf128_si256(x, 1);
auto yhigh = _mm_slli_si128(high, M);
__m256i res = _mm256_castsi128_si256(ylow);
return _mm256_insertf128_si256(res, _mm_or_si128(yhigh, zlow), 1);
}
// slide_right
template <size_t N, class A, class T>
XSIMD_INLINE batch<T, A> slide_right(batch<T, A> const& x, requires_arch<avx>) noexcept
{
constexpr unsigned BitCount = N * 8;
if (BitCount == 0)
{
return x;
}
if (BitCount >= 256)
{
return batch<T, A>(T(0));
}
if (BitCount > 128)
{
constexpr unsigned M = (BitCount - 128) / 8;
__m128i high = _mm256_extractf128_si256(x, 1);
__m128i y = _mm_srli_si128(high, M);
__m256i zero = _mm256_setzero_si256();
return _mm256_insertf128_si256(zero, y, 0);
}
if (BitCount == 128)
{
__m128i high = _mm256_extractf128_si256(x, 1);
return _mm256_castsi128_si256(high);
}
// shifting by [0, 128[ bits
constexpr unsigned M = BitCount / 8;
__m128i low = _mm256_castsi256_si128(x);
auto ylow = _mm_srli_si128(low, M);
__m128i high = _mm256_extractf128_si256(x, 1);
auto yhigh = _mm_srli_si128(high, M);
auto zhigh = _mm_slli_si128(high, 16 - M);
__m256i res = _mm256_castsi128_si256(_mm_or_si128(ylow, zhigh));
return _mm256_insertf128_si256(res, yhigh, 1);
}
// sqrt
template <class A>
XSIMD_INLINE batch<float, A> sqrt(batch<float, A> const& val, requires_arch<avx>) noexcept
{
return _mm256_sqrt_ps(val);
}
template <class A>
XSIMD_INLINE batch<double, A> sqrt(batch<double, A> const& val, requires_arch<avx>) noexcept
{
return _mm256_sqrt_pd(val);
}
// ssub
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> ssub(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
if (std::is_signed<T>::value)
{
return sadd(self, -other);
}
else
{
const auto diff = min(self, other);
return self - diff;
}
}
// store_aligned
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE void store_aligned(T* mem, batch<T, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_store_si256((__m256i*)mem, self);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE void store_aligned(T* mem, batch_bool<T, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_store_si256((__m256i*)mem, self);
}
template <class A>
XSIMD_INLINE void store_aligned(float* mem, batch<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_store_ps(mem, self);
}
template <class A>
XSIMD_INLINE void store_aligned(double* mem, batch<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_store_pd(mem, self);
}
// store_unaligned
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE void store_unaligned(T* mem, batch<T, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_storeu_si256((__m256i*)mem, self);
}
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE void store_unaligned(T* mem, batch_bool<T, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_storeu_si256((__m256i*)mem, self);
}
template <class A>
XSIMD_INLINE void store_unaligned(float* mem, batch<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_storeu_ps(mem, self);
}
template <class A>
XSIMD_INLINE void store_unaligned(double* mem, batch<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_storeu_pd(mem, self);
}
// sub
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> sub(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
return detail::fwd_to_sse([](__m128i s, __m128i o) noexcept
{ return sub(batch<T, sse4_2>(s), batch<T, sse4_2>(o)); },
self, other);
}
template <class A>
XSIMD_INLINE batch<float, A> sub(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_sub_ps(self, other);
}
template <class A>
XSIMD_INLINE batch<double, A> sub(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
return _mm256_sub_pd(self, other);
}
// swizzle (dynamic mask)
template <class A>
XSIMD_INLINE batch<float, A> swizzle(batch<float, A> const& self, batch<uint32_t, A> mask, requires_arch<avx>) noexcept
{
// duplicate low and high part of input
__m256 hi = _mm256_castps128_ps256(_mm256_extractf128_ps(self, 1));
__m256 hi_hi = _mm256_insertf128_ps(self, _mm256_castps256_ps128(hi), 0);
__m256 low = _mm256_castps128_ps256(_mm256_castps256_ps128(self));
__m256 low_low = _mm256_insertf128_ps(self, _mm256_castps256_ps128(low), 1);
// normalize mask
batch<uint32_t, A> half_mask = mask % 4;
// permute within each lane
__m256 r0 = _mm256_permutevar_ps(low_low, half_mask);
__m256 r1 = _mm256_permutevar_ps(hi_hi, half_mask);
// mask to choose the right lane
batch_bool<uint32_t, A> blend_mask = mask >= 4;
// blend the two permutes
return _mm256_blendv_ps(r0, r1, batch_bool_cast<float>(blend_mask));
}
template <class A>
XSIMD_INLINE batch<double, A> swizzle(batch<double, A> const& self, batch<uint64_t, A> mask, requires_arch<avx>) noexcept
{
// duplicate low and high part of input
__m256d hi = _mm256_castpd128_pd256(_mm256_extractf128_pd(self, 1));
__m256d hi_hi = _mm256_insertf128_pd(self, _mm256_castpd256_pd128(hi), 0);
__m256d low = _mm256_castpd128_pd256(_mm256_castpd256_pd128(self));
__m256d low_low = _mm256_insertf128_pd(self, _mm256_castpd256_pd128(low), 1);
// normalize mask
batch<uint64_t, A> half_mask = -(mask & 1);
// permute within each lane
__m256d r0 = _mm256_permutevar_pd(low_low, half_mask);
__m256d r1 = _mm256_permutevar_pd(hi_hi, half_mask);
// mask to choose the right lane
batch_bool<uint64_t, A> blend_mask = mask >= 2;
// blend the two permutes
return _mm256_blendv_pd(r0, r1, batch_bool_cast<double>(blend_mask));
}
template <class A, typename T, detail::enable_sized_integral_t<T, 4> = 0>
XSIMD_INLINE batch<T, A> swizzle(batch<T, A> const& self, batch<uint32_t, A> const& mask, requires_arch<avx>) noexcept
{
return bitwise_cast<T>(
swizzle(bitwise_cast<float>(self), mask));
}
template <class A, typename T, detail::enable_sized_integral_t<T, 8> = 0>
XSIMD_INLINE batch<T, A>
swizzle(batch<T, A> const& self, batch<uint64_t, A> const& mask, requires_arch<avx>) noexcept
{
return bitwise_cast<T>(
swizzle(bitwise_cast<double>(self), mask));
}
// swizzle (constant mask)
template <class A, uint32_t V0, uint32_t V1, uint32_t V2, uint32_t V3, uint32_t V4, uint32_t V5, uint32_t V6, uint32_t V7>
XSIMD_INLINE batch<float, A> swizzle(batch<float, A> const& self, batch_constant<uint32_t, A, V0, V1, V2, V3, V4, V5, V6, V7>, requires_arch<avx>) noexcept
{
// duplicate low and high part of input
__m256 hi = _mm256_castps128_ps256(_mm256_extractf128_ps(self, 1));
__m256 hi_hi = _mm256_insertf128_ps(self, _mm256_castps256_ps128(hi), 0);
__m256 low = _mm256_castps128_ps256(_mm256_castps256_ps128(self));
__m256 low_low = _mm256_insertf128_ps(self, _mm256_castps256_ps128(low), 1);
// normalize mask
batch_constant<uint32_t, A, (V0 % 4), (V1 % 4), (V2 % 4), (V3 % 4), (V4 % 4), (V5 % 4), (V6 % 4), (V7 % 4)> half_mask;
// permute within each lane
__m256 r0 = _mm256_permutevar_ps(low_low, half_mask.as_batch());
__m256 r1 = _mm256_permutevar_ps(hi_hi, half_mask.as_batch());
// mask to choose the right lane
batch_bool_constant<uint32_t, A, (V0 >= 4), (V1 >= 4), (V2 >= 4), (V3 >= 4), (V4 >= 4), (V5 >= 4), (V6 >= 4), (V7 >= 4)> blend_mask;
// blend the two permutes
constexpr auto mask = blend_mask.mask();
return _mm256_blend_ps(r0, r1, mask);
}
template <class A, uint64_t V0, uint64_t V1, uint64_t V2, uint64_t V3>
XSIMD_INLINE batch<double, A> swizzle(batch<double, A> const& self, batch_constant<uint64_t, A, V0, V1, V2, V3>, requires_arch<avx>) noexcept
{
// duplicate low and high part of input
__m256d hi = _mm256_castpd128_pd256(_mm256_extractf128_pd(self, 1));
__m256d hi_hi = _mm256_insertf128_pd(self, _mm256_castpd256_pd128(hi), 0);
__m256d low = _mm256_castpd128_pd256(_mm256_castpd256_pd128(self));
__m256d low_low = _mm256_insertf128_pd(self, _mm256_castpd256_pd128(low), 1);
// normalize mask
batch_constant<uint64_t, A, (V0 % 2) * -1, (V1 % 2) * -1, (V2 % 2) * -1, (V3 % 2) * -1> half_mask;
// permute within each lane
__m256d r0 = _mm256_permutevar_pd(low_low, half_mask.as_batch());
__m256d r1 = _mm256_permutevar_pd(hi_hi, half_mask.as_batch());
// mask to choose the right lane
batch_bool_constant<uint64_t, A, (V0 >= 2), (V1 >= 2), (V2 >= 2), (V3 >= 2)> blend_mask;
// blend the two permutes
constexpr auto mask = blend_mask.mask();
return _mm256_blend_pd(r0, r1, mask);
}
template <class A,
typename T,
uint32_t V0,
uint32_t V1,
uint32_t V2,
uint32_t V3,
uint32_t V4,
uint32_t V5,
uint32_t V6,
uint32_t V7,
detail::enable_sized_integral_t<T, 4> = 0>
XSIMD_INLINE batch<T, A> swizzle(batch<T, A> const& self,
batch_constant<uint32_t, A,
V0,
V1,
V2,
V3,
V4,
V5,
V6,
V7> const& mask,
requires_arch<avx>) noexcept
{
return bitwise_cast<T>(
swizzle(bitwise_cast<float>(self), mask));
}
template <class A,
typename T,
uint64_t V0,
uint64_t V1,
uint64_t V2,
uint64_t V3,
detail::enable_sized_integral_t<T, 8> = 0>
XSIMD_INLINE batch<T, A>
swizzle(batch<T, A> const& self,
batch_constant<uint64_t, A, V0, V1, V2, V3> const& mask,
requires_arch<avx>) noexcept
{
return bitwise_cast<T>(
swizzle(bitwise_cast<double>(self), mask));
}
// transpose
template <class A>
XSIMD_INLINE void transpose(batch<float, A>* matrix_begin, batch<float, A>* matrix_end, requires_arch<avx>) noexcept
{
assert((matrix_end - matrix_begin == batch<float, A>::size) && "correctly sized matrix");
(void)matrix_end;
// See
// https://stackoverflow.com/questions/25622745/transpose-an-8x8-float-using-avx-avx2
auto r0 = matrix_begin[0], r1 = matrix_begin[1],
r2 = matrix_begin[2], r3 = matrix_begin[3],
r4 = matrix_begin[4], r5 = matrix_begin[5],
r6 = matrix_begin[6], r7 = matrix_begin[7];
auto t0 = _mm256_unpacklo_ps(r0, r1);
auto t1 = _mm256_unpackhi_ps(r0, r1);
auto t2 = _mm256_unpacklo_ps(r2, r3);
auto t3 = _mm256_unpackhi_ps(r2, r3);
auto t4 = _mm256_unpacklo_ps(r4, r5);
auto t5 = _mm256_unpackhi_ps(r4, r5);
auto t6 = _mm256_unpacklo_ps(r6, r7);
auto t7 = _mm256_unpackhi_ps(r6, r7);
r0 = _mm256_shuffle_ps(t0, t2, _MM_SHUFFLE(1, 0, 1, 0));
r1 = _mm256_shuffle_ps(t0, t2, _MM_SHUFFLE(3, 2, 3, 2));
r2 = _mm256_shuffle_ps(t1, t3, _MM_SHUFFLE(1, 0, 1, 0));
r3 = _mm256_shuffle_ps(t1, t3, _MM_SHUFFLE(3, 2, 3, 2));
r4 = _mm256_shuffle_ps(t4, t6, _MM_SHUFFLE(1, 0, 1, 0));
r5 = _mm256_shuffle_ps(t4, t6, _MM_SHUFFLE(3, 2, 3, 2));
r6 = _mm256_shuffle_ps(t5, t7, _MM_SHUFFLE(1, 0, 1, 0));
r7 = _mm256_shuffle_ps(t5, t7, _MM_SHUFFLE(3, 2, 3, 2));
matrix_begin[0] = _mm256_permute2f128_ps(r0, r4, 0x20);
matrix_begin[1] = _mm256_permute2f128_ps(r1, r5, 0x20);
matrix_begin[2] = _mm256_permute2f128_ps(r2, r6, 0x20);
matrix_begin[3] = _mm256_permute2f128_ps(r3, r7, 0x20);
matrix_begin[4] = _mm256_permute2f128_ps(r0, r4, 0x31);
matrix_begin[5] = _mm256_permute2f128_ps(r1, r5, 0x31);
matrix_begin[6] = _mm256_permute2f128_ps(r2, r6, 0x31);
matrix_begin[7] = _mm256_permute2f128_ps(r3, r7, 0x31);
}
template <class A>
XSIMD_INLINE void transpose(batch<uint32_t, A>* matrix_begin, batch<uint32_t, A>* matrix_end, requires_arch<avx>) noexcept
{
return transpose(reinterpret_cast<batch<float, A>*>(matrix_begin), reinterpret_cast<batch<float, A>*>(matrix_end), A {});
}
template <class A>
XSIMD_INLINE void transpose(batch<int32_t, A>* matrix_begin, batch<int32_t, A>* matrix_end, requires_arch<avx>) noexcept
{
return transpose(reinterpret_cast<batch<float, A>*>(matrix_begin), reinterpret_cast<batch<float, A>*>(matrix_end), A {});
}
template <class A>
XSIMD_INLINE void transpose(batch<double, A>* matrix_begin, batch<double, A>* matrix_end, requires_arch<avx>) noexcept
{
assert((matrix_end - matrix_begin == batch<double, A>::size) && "correctly sized matrix");
(void)matrix_end;
auto r0 = matrix_begin[0], r1 = matrix_begin[1],
r2 = matrix_begin[2], r3 = matrix_begin[3];
auto t0 = _mm256_unpacklo_pd(r0, r1); // r00 r10 r01 r11
auto t1 = _mm256_unpackhi_pd(r0, r1); // r02 r12 r03 r13
auto t2 = _mm256_unpacklo_pd(r2, r3); // r20 r30 r21 r31
auto t3 = _mm256_unpackhi_pd(r2, r3); // r22 r32 r23 r33
matrix_begin[0] = _mm256_permute2f128_pd(t0, t2, 0x20);
matrix_begin[1] = _mm256_permute2f128_pd(t1, t3, 0x20);
matrix_begin[2] = _mm256_permute2f128_pd(t0, t2, 0x31);
matrix_begin[3] = _mm256_permute2f128_pd(t1, t3, 0x31);
}
template <class A>
XSIMD_INLINE void transpose(batch<uint64_t, A>* matrix_begin, batch<uint64_t, A>* matrix_end, requires_arch<avx>) noexcept
{
return transpose(reinterpret_cast<batch<double, A>*>(matrix_begin), reinterpret_cast<batch<double, A>*>(matrix_end), A {});
}
template <class A>
XSIMD_INLINE void transpose(batch<int64_t, A>* matrix_begin, batch<int64_t, A>* matrix_end, requires_arch<avx>) noexcept
{
return transpose(reinterpret_cast<batch<double, A>*>(matrix_begin), reinterpret_cast<batch<double, A>*>(matrix_end), A {});
}
template <class A>
XSIMD_INLINE void transpose(batch<uint16_t, A>* matrix_begin, batch<uint16_t, A>* matrix_end, requires_arch<avx>) noexcept
{
assert((matrix_end - matrix_begin == batch<uint16_t, A>::size) && "correctly sized matrix");
(void)matrix_end;
batch<uint16_t, sse4_2> tmp_lo0[8];
for (int i = 0; i < 8; ++i)
tmp_lo0[i] = _mm256_castsi256_si128(matrix_begin[i]);
transpose(tmp_lo0 + 0, tmp_lo0 + 8, sse4_2 {});
batch<uint16_t, sse4_2> tmp_hi0[8];
for (int i = 0; i < 8; ++i)
tmp_hi0[i] = _mm256_castsi256_si128(matrix_begin[8 + i]);
transpose(tmp_hi0 + 0, tmp_hi0 + 8, sse4_2 {});
batch<uint16_t, sse4_2> tmp_lo1[8];
for (int i = 0; i < 8; ++i)
tmp_lo1[i] = _mm256_extractf128_si256(matrix_begin[i], 1);
transpose(tmp_lo1 + 0, tmp_lo1 + 8, sse4_2 {});
batch<uint16_t, sse4_2> tmp_hi1[8];
for (int i = 0; i < 8; ++i)
tmp_hi1[i] = _mm256_extractf128_si256(matrix_begin[8 + i], 1);
transpose(tmp_hi1 + 0, tmp_hi1 + 8, sse4_2 {});
for (int i = 0; i < 8; ++i)
matrix_begin[i] = detail::merge_sse(tmp_lo0[i], tmp_hi0[i]);
for (int i = 0; i < 8; ++i)
matrix_begin[i + 8] = detail::merge_sse(tmp_lo1[i], tmp_hi1[i]);
}
template <class A>
XSIMD_INLINE void transpose(batch<int16_t, A>* matrix_begin, batch<int16_t, A>* matrix_end, requires_arch<avx>) noexcept
{
return transpose(reinterpret_cast<batch<uint16_t, A>*>(matrix_begin), reinterpret_cast<batch<uint16_t, A>*>(matrix_end), A {});
}
template <class A>
XSIMD_INLINE void transpose(batch<uint8_t, A>* matrix_begin, batch<uint8_t, A>* matrix_end, requires_arch<avx>) noexcept
{
assert((matrix_end - matrix_begin == batch<uint8_t, A>::size) && "correctly sized matrix");
(void)matrix_end;
batch<uint8_t, sse4_2> tmp_lo0[16];
for (int i = 0; i < 16; ++i)
tmp_lo0[i] = _mm256_castsi256_si128(matrix_begin[i]);
transpose(tmp_lo0 + 0, tmp_lo0 + 16, sse4_2 {});
batch<uint8_t, sse4_2> tmp_hi0[16];
for (int i = 0; i < 16; ++i)
tmp_hi0[i] = _mm256_castsi256_si128(matrix_begin[16 + i]);
transpose(tmp_hi0 + 0, tmp_hi0 + 16, sse4_2 {});
batch<uint8_t, sse4_2> tmp_lo1[16];
for (int i = 0; i < 16; ++i)
tmp_lo1[i] = _mm256_extractf128_si256(matrix_begin[i], 1);
transpose(tmp_lo1 + 0, tmp_lo1 + 16, sse4_2 {});
batch<uint8_t, sse4_2> tmp_hi1[16];
for (int i = 0; i < 16; ++i)
tmp_hi1[i] = _mm256_extractf128_si256(matrix_begin[16 + i], 1);
transpose(tmp_hi1 + 0, tmp_hi1 + 16, sse4_2 {});
for (int i = 0; i < 16; ++i)
matrix_begin[i] = detail::merge_sse(tmp_lo0[i], tmp_hi0[i]);
for (int i = 0; i < 16; ++i)
matrix_begin[i + 16] = detail::merge_sse(tmp_lo1[i], tmp_hi1[i]);
}
template <class A>
XSIMD_INLINE void transpose(batch<int8_t, A>* matrix_begin, batch<int8_t, A>* matrix_end, requires_arch<avx>) noexcept
{
return transpose(reinterpret_cast<batch<uint8_t, A>*>(matrix_begin), reinterpret_cast<batch<uint8_t, A>*>(matrix_end), A {});
}
// trunc
template <class A>
XSIMD_INLINE batch<float, A> trunc(batch<float, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_round_ps(self, _MM_FROUND_TO_ZERO);
}
template <class A>
XSIMD_INLINE batch<double, A> trunc(batch<double, A> const& self, requires_arch<avx>) noexcept
{
return _mm256_round_pd(self, _MM_FROUND_TO_ZERO);
}
// zip_hi
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> zip_hi(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
XSIMD_IF_CONSTEXPR(sizeof(T) == 1 || sizeof(T) == 2)
{
// extract high word
__m128i self_hi = _mm256_extractf128_si256(self, 1);
__m128i other_hi = _mm256_extractf128_si256(other, 1);
// interleave
__m128i res_lo, res_hi;
XSIMD_IF_CONSTEXPR(sizeof(T) == 1)
{
res_lo = _mm_unpacklo_epi8(self_hi, other_hi);
res_hi = _mm_unpackhi_epi8(self_hi, other_hi);
}
else
{
res_lo = _mm_unpacklo_epi16(self_hi, other_hi);
res_hi = _mm_unpackhi_epi16(self_hi, other_hi);
}
// fuse
return _mm256_castps_si256(
_mm256_insertf128_ps(
_mm256_castsi256_ps(_mm256_castsi128_si256(res_lo)),
_mm_castsi128_ps(res_hi),
1));
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 4)
{
auto lo = _mm256_unpacklo_ps(_mm256_castsi256_ps(self), _mm256_castsi256_ps(other));
auto hi = _mm256_unpackhi_ps(_mm256_castsi256_ps(self), _mm256_castsi256_ps(other));
return _mm256_castps_si256(_mm256_permute2f128_ps(lo, hi, 0x31));
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 8)
{
auto lo = _mm256_unpacklo_pd(_mm256_castsi256_pd(self), _mm256_castsi256_pd(other));
auto hi = _mm256_unpackhi_pd(_mm256_castsi256_pd(self), _mm256_castsi256_pd(other));
return _mm256_castpd_si256(_mm256_permute2f128_pd(lo, hi, 0x31));
}
else
{
assert(false && "unsupported arch/op combination");
return {};
}
}
template <class A>
XSIMD_INLINE batch<float, A> zip_hi(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept
{
auto lo = _mm256_unpacklo_ps(self, other);
auto hi = _mm256_unpackhi_ps(self, other);
return _mm256_permute2f128_ps(lo, hi, 0x31);
}
template <class A>
XSIMD_INLINE batch<double, A> zip_hi(batch<double, A> const& self, batch<double, A> const& other, requires_arch<avx>) noexcept
{
auto lo = _mm256_unpacklo_pd(self, other);
auto hi = _mm256_unpackhi_pd(self, other);
return _mm256_permute2f128_pd(lo, hi, 0x31);
}
// zip_lo
template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
XSIMD_INLINE batch<T, A> zip_lo(batch<T, A> const& self, batch<T, A> const& other, requires_arch<avx>) noexcept
{
XSIMD_IF_CONSTEXPR(sizeof(T) == 1 || sizeof(T) == 2)
{
// extract low word
__m128i self_lo = _mm256_extractf128_si256(self, 0);
__m128i other_lo = _mm256_extractf128_si256(other, 0);
// interleave
__m128i res_lo, res_hi;
XSIMD_IF_CONSTEXPR(sizeof(T) == 1)
{
res_lo = _mm_unpacklo_epi8(self_lo, other_lo);
res_hi = _mm_unpackhi_epi8(self_lo, other_lo);
}
else
{
res_lo = _mm_unpacklo_epi16(self_lo, other_lo);
res_hi = _mm_unpackhi_epi16(self_lo, other_lo);
}
// fuse
return _mm256_castps_si256(
_mm256_insertf128_ps(
_mm256_castsi256_ps(_mm256_castsi128_si256(res_lo)),
_mm_castsi128_ps(res_hi),
1));
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 4)
{
auto lo = _mm256_unpacklo_ps(_mm256_castsi256_ps(self), _mm256_castsi256_ps(other));
auto hi = _mm256_unpackhi_ps(_mm256_castsi256_ps(self), _mm256_castsi256_ps(other));
return _mm256_castps_si256(_mm256_insertf128_ps(lo, _mm256_castps256_ps128(hi), 1));
}
else XSIMD_IF_CONSTEXPR(sizeof(T) == 8)
{
auto lo = _mm256_unpacklo_pd(_mm256_castsi256_pd(self), _mm256_castsi256_pd(other));
auto hi = _mm256_unpackhi_pd(_mm256_castsi256_pd(self), _mm256_castsi256_pd(other));
return _mm256_castpd_si256(_mm256_insertf128_pd(lo, _mm256_castpd256_pd128(hi), 1));
}
else
{
assert(false && "unsupported arch/op combination");
return {};
}
}
template <class A>
XSIMD_INLINE batch<float, A> zip_lo(batch<float, A> const& self, batch<float, A> const& other, requires_arch<avx>) noexcept | |
