mirror of
https://github.com/jart/cosmopolitan.git
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5660ec4741
This release is an atomic upgrade to GCC 14.1.0 with C23 and C++23
164 lines
5.4 KiB
C++
164 lines
5.4 KiB
C++
//===----------------------------------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#ifndef _LIBCPP___ALGORITHM_SIMD_UTILS_H
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#define _LIBCPP___ALGORITHM_SIMD_UTILS_H
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#include <__algorithm/min.h>
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#include <__bit/bit_cast.h>
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#include <__bit/countl.h>
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#include <__bit/countr.h>
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#include <__config>
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#include <__type_traits/is_arithmetic.h>
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#include <__type_traits/is_same.h>
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#include <__utility/integer_sequence.h>
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#include <cstddef>
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#include <cstdint>
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#if !defined(_LIBCPP_HAS_NO_PRAGMA_SYSTEM_HEADER)
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# pragma GCC system_header
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#endif
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_LIBCPP_PUSH_MACROS
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#include <__undef_macros>
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// TODO: Find out how altivec changes things and allow vectorizations there too.
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#if _LIBCPP_STD_VER >= 14 && defined(_LIBCPP_CLANG_VER) && !defined(__ALTIVEC__)
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# define _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS 1
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#else
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# define _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS 0
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#endif
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#if _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS && !defined(__OPTIMIZE_SIZE__)
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# define _LIBCPP_VECTORIZE_ALGORITHMS 1
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#else
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# define _LIBCPP_VECTORIZE_ALGORITHMS 0
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#endif
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#if _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS
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_LIBCPP_BEGIN_NAMESPACE_STD
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template <class _Tp>
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inline constexpr bool __can_map_to_integer_v =
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sizeof(_Tp) == alignof(_Tp) && (sizeof(_Tp) == 1 || sizeof(_Tp) == 2 || sizeof(_Tp) == 4 || sizeof(_Tp) == 8);
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template <size_t _TypeSize>
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struct __get_as_integer_type_impl;
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template <>
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struct __get_as_integer_type_impl<1> {
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using type = uint8_t;
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};
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template <>
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struct __get_as_integer_type_impl<2> {
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using type = uint16_t;
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};
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template <>
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struct __get_as_integer_type_impl<4> {
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using type = uint32_t;
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};
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template <>
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struct __get_as_integer_type_impl<8> {
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using type = uint64_t;
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};
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template <class _Tp>
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using __get_as_integer_type_t = typename __get_as_integer_type_impl<sizeof(_Tp)>::type;
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// This isn't specialized for 64 byte vectors on purpose. They have the potential to significantly reduce performance
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// in mixed simd/non-simd workloads and don't provide any performance improvement for currently vectorized algorithms
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// as far as benchmarks are concerned.
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# if defined(__AVX__) || defined(__MVS__)
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template <class _Tp>
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inline constexpr size_t __native_vector_size = 32 / sizeof(_Tp);
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# elif defined(__SSE__) || defined(__ARM_NEON__)
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template <class _Tp>
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inline constexpr size_t __native_vector_size = 16 / sizeof(_Tp);
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# elif defined(__MMX__)
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template <class _Tp>
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inline constexpr size_t __native_vector_size = 8 / sizeof(_Tp);
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# else
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template <class _Tp>
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inline constexpr size_t __native_vector_size = 1;
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# endif
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template <class _ArithmeticT, size_t _Np>
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using __simd_vector __attribute__((__ext_vector_type__(_Np))) = _ArithmeticT;
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template <class _VecT>
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inline constexpr size_t __simd_vector_size_v = []<bool _False = false>() -> size_t {
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static_assert(_False, "Not a vector!");
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}();
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template <class _Tp, size_t _Np>
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inline constexpr size_t __simd_vector_size_v<__simd_vector<_Tp, _Np>> = _Np;
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template <class _Tp, size_t _Np>
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_LIBCPP_HIDE_FROM_ABI _Tp __simd_vector_underlying_type_impl(__simd_vector<_Tp, _Np>) {
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return _Tp{};
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}
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template <class _VecT>
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using __simd_vector_underlying_type_t = decltype(std::__simd_vector_underlying_type_impl(_VecT{}));
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// This isn't inlined without always_inline when loading chars.
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template <class _VecT, class _Iter>
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_LIBCPP_NODISCARD _LIBCPP_ALWAYS_INLINE _LIBCPP_HIDE_FROM_ABI _VecT __load_vector(_Iter __iter) noexcept {
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return [=]<size_t... _Indices>(index_sequence<_Indices...>) _LIBCPP_ALWAYS_INLINE noexcept {
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return _VecT{__iter[_Indices]...};
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}(make_index_sequence<__simd_vector_size_v<_VecT>>{});
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}
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template <class _Tp, size_t _Np>
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_LIBCPP_NODISCARD _LIBCPP_HIDE_FROM_ABI bool __all_of(__simd_vector<_Tp, _Np> __vec) noexcept {
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return __builtin_reduce_and(__builtin_convertvector(__vec, __simd_vector<bool, _Np>));
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}
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template <class _Tp, size_t _Np>
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_LIBCPP_NODISCARD _LIBCPP_HIDE_FROM_ABI size_t __find_first_set(__simd_vector<_Tp, _Np> __vec) noexcept {
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using __mask_vec = __simd_vector<bool, _Np>;
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// This has MSan disabled du to https://github.com/llvm/llvm-project/issues/85876
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auto __impl = [&]<class _MaskT>(_MaskT) _LIBCPP_NO_SANITIZE("memory") noexcept {
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# if defined(_LIBCPP_BIG_ENDIAN)
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return std::min<size_t>(
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_Np, std::__countl_zero(__builtin_bit_cast(_MaskT, __builtin_convertvector(__vec, __mask_vec))));
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# else
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return std::min<size_t>(
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_Np, std::__countr_zero(__builtin_bit_cast(_MaskT, __builtin_convertvector(__vec, __mask_vec))));
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# endif
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};
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if constexpr (sizeof(__mask_vec) == sizeof(uint8_t)) {
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return __impl(uint8_t{});
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} else if constexpr (sizeof(__mask_vec) == sizeof(uint16_t)) {
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return __impl(uint16_t{});
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} else if constexpr (sizeof(__mask_vec) == sizeof(uint32_t)) {
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return __impl(uint32_t{});
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} else if constexpr (sizeof(__mask_vec) == sizeof(uint64_t)) {
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return __impl(uint64_t{});
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} else {
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static_assert(sizeof(__mask_vec) == 0, "unexpected required size for mask integer type");
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return 0;
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}
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}
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template <class _Tp, size_t _Np>
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_LIBCPP_NODISCARD _LIBCPP_HIDE_FROM_ABI size_t __find_first_not_set(__simd_vector<_Tp, _Np> __vec) noexcept {
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return std::__find_first_set(~__vec);
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}
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_LIBCPP_END_NAMESPACE_STD
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#endif // _LIBCPP_HAS_ALGORITHM_VECTOR_UTILS
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_LIBCPP_POP_MACROS
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#endif // _LIBCPP___ALGORITHM_SIMD_UTILS_H
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