//===----------------------------------------------------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#ifndef _LIBCPP___ALGORITHM_SIMD_UTILS_H
#define _LIBCPP___ALGORITHM_SIMD_UTILS_H
#include <__algorithm/min.h>
#include <__bit/bit_cast.h>
#include <__bit/countl.h>
#include <__bit/countr.h>
#include <__config>
#include <__type_traits/is_arithmetic.h>
#include <__type_traits/is_same.h>
#include <__utility/integer_sequence.h>
#include <cstddef>
#include <cstdint>
#if !defined(_LIBCPP_HAS_NO_PRAGMA_SYSTEM_HEADER)
# pragma GCC system_header
#endif
_LIBCPP_PUSH_MACROS
#include <__undef_macros>
// TODO: Find out how altivec changes things and allow vectorizations there too.
#if _LIBCPP_STD_VER >= 14 && defined(_LIBCPP_CLANG_VER) && !defined(__ALTIVEC__)
# define _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS 1
#else
# define _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS 0
#endif
#if _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS && !defined(__OPTIMIZE_SIZE__)
# define _LIBCPP_VECTORIZE_ALGORITHMS 1
#else
# define _LIBCPP_VECTORIZE_ALGORITHMS 0
#endif
#if _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS
_LIBCPP_BEGIN_NAMESPACE_STD
template <class _Tp>
inline constexpr bool __can_map_to_integer_v =
sizeof(_Tp) == alignof(_Tp) && (sizeof(_Tp) == 1 || sizeof(_Tp) == 2 || sizeof(_Tp) == 4 || sizeof(_Tp) == 8);
template <size_t _TypeSize>
struct __get_as_integer_type_impl;
template <>
struct __get_as_integer_type_impl<1> {
using type = uint8_t;
};
template <>
struct __get_as_integer_type_impl<2> {
using type = uint16_t;
};
template <>
struct __get_as_integer_type_impl<4> {
using type = uint32_t;
};
template <>
struct __get_as_integer_type_impl<8> {
using type = uint64_t;
};
template <class _Tp>
using __get_as_integer_type_t = typename __get_as_integer_type_impl<sizeof(_Tp)>::type;
// This isn't specialized for 64 byte vectors on purpose. They have the potential to significantly reduce performance
// in mixed simd/non-simd workloads and don't provide any performance improvement for currently vectorized algorithms
// as far as benchmarks are concerned.
# if defined(__AVX__) || defined(__MVS__)
template <class _Tp>
inline constexpr size_t __native_vector_size = 32 / sizeof(_Tp);
# elif defined(__SSE__) || defined(__ARM_NEON__)
template <class _Tp>
inline constexpr size_t __native_vector_size = 16 / sizeof(_Tp);
# elif defined(__MMX__)
template <class _Tp>
inline constexpr size_t __native_vector_size = 8 / sizeof(_Tp);
# else
template <class _Tp>
inline constexpr size_t __native_vector_size = 1;
# endif
template <class _ArithmeticT, size_t _Np>
using __simd_vector __attribute__((__ext_vector_type__(_Np))) = _ArithmeticT;
template <class _VecT>
inline constexpr size_t __simd_vector_size_v = []<bool _False = false>() -> size_t {
static_assert(_False, "Not a vector!");
}();
template <class _Tp, size_t _Np>
inline constexpr size_t __simd_vector_size_v<__simd_vector<_Tp, _Np>> = _Np;
template <class _Tp, size_t _Np>
_LIBCPP_HIDE_FROM_ABI _Tp __simd_vector_underlying_type_impl(__simd_vector<_Tp, _Np>) {
return _Tp{};
}
template <class _VecT>
using __simd_vector_underlying_type_t = decltype(std::__simd_vector_underlying_type_impl(_VecT{}));
// This isn't inlined without always_inline when loading chars.
template <class _VecT, class _Iter>
[[__nodiscard__]] _LIBCPP_ALWAYS_INLINE _LIBCPP_HIDE_FROM_ABI _VecT __load_vector(_Iter __iter) noexcept {
return [=]<size_t... _Indices>(index_sequence<_Indices...>) _LIBCPP_ALWAYS_INLINE noexcept {
return _VecT{__iter[_Indices]...};
}(make_index_sequence<__simd_vector_size_v<_VecT>>{});
}
template <class _Tp, size_t _Np>
[[__nodiscard__]] _LIBCPP_HIDE_FROM_ABI bool __all_of(__simd_vector<_Tp, _Np> __vec) noexcept {
return __builtin_reduce_and(__builtin_convertvector(__vec, __simd_vector<bool, _Np>));
}
template <class _Tp, size_t _Np>
[[__nodiscard__]] _LIBCPP_HIDE_FROM_ABI size_t __find_first_set(__simd_vector<_Tp, _Np> __vec) noexcept {
using __mask_vec = __simd_vector<bool, _Np>;
// This has MSan disabled du to https://github.com/llvm/llvm-project/issues/85876
auto __impl = [&]<class _MaskT>(_MaskT) _LIBCPP_NO_SANITIZE("memory") noexcept {
# if defined(_LIBCPP_BIG_ENDIAN)
return std::min<size_t>(
_Np, std::__countl_zero(__builtin_bit_cast(_MaskT, __builtin_convertvector(__vec, __mask_vec))));
# else
return std::min<size_t>(
_Np, std::__countr_zero(__builtin_bit_cast(_MaskT, __builtin_convertvector(__vec, __mask_vec))));
# endif
};
if constexpr (sizeof(__mask_vec) == sizeof(uint8_t)) {
return __impl(uint8_t{});
} else if constexpr (sizeof(__mask_vec) == sizeof(uint16_t)) {
return __impl(uint16_t{});
} else if constexpr (sizeof(__mask_vec) == sizeof(uint32_t)) {
return __impl(uint32_t{});
} else if constexpr (sizeof(__mask_vec) == sizeof(uint64_t)) {
return __impl(uint64_t{});
} else {
static_assert(sizeof(__mask_vec) == 0, "unexpected required size for mask integer type");
return 0;
}
}
template <class _Tp, size_t _Np>
[[__nodiscard__]] _LIBCPP_HIDE_FROM_ABI size_t __find_first_not_set(__simd_vector<_Tp, _Np> __vec) noexcept {
return std::__find_first_set(~__vec);
}
_LIBCPP_END_NAMESPACE_STD
#endif // _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS
_LIBCPP_POP_MACROS
#endif // _LIBCPP___ALGORITHM_SIMD_UTILS_H
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