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https://github.com/LadybirdBrowser/ladybird.git
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9ee334e970
(cherry picked from commit 8d6028d366c918b3656c0a4c6808a570dcecf8f4)
116 lines
3.9 KiB
C++
116 lines
3.9 KiB
C++
/*
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* Copyright (c) 2020, the SerenityOS developers.
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*
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* SPDX-License-Identifier: BSD-2-Clause
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*/
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#pragma once
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#include <AK/StdLibExtras.h>
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#include <AK/Types.h>
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namespace AK::SIMD {
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using i8x2 = i8 __attribute__((vector_size(2)));
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using i8x4 = i8 __attribute__((vector_size(4)));
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using i8x8 = i8 __attribute__((vector_size(8)));
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using i8x16 = i8 __attribute__((vector_size(16)));
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using i8x32 = i8 __attribute__((vector_size(32)));
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using i16x2 = i16 __attribute__((vector_size(4)));
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using i16x4 = i16 __attribute__((vector_size(8)));
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using i16x8 = i16 __attribute__((vector_size(16)));
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using i16x16 = i16 __attribute__((vector_size(32)));
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// the asm intrinsics demand chars as the 8-bit type, and do not allow
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// (un-)signed ones to be used
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using c8x2 = char __attribute__((vector_size(2)));
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using c8x4 = char __attribute__((vector_size(4)));
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using c8x8 = char __attribute__((vector_size(8)));
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using c8x16 = char __attribute__((vector_size(16)));
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using c8x32 = char __attribute__((vector_size(32)));
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using i32x2 = i32 __attribute__((vector_size(8)));
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using i32x4 = i32 __attribute__((vector_size(16)));
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using i32x8 = i32 __attribute__((vector_size(32)));
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using i64x2 = i64 __attribute__((vector_size(16)));
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using i64x4 = i64 __attribute__((vector_size(32)));
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using u8x2 = u8 __attribute__((vector_size(2)));
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using u8x4 = u8 __attribute__((vector_size(4)));
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using u8x8 = u8 __attribute__((vector_size(8)));
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using u8x16 = u8 __attribute__((vector_size(16)));
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using u8x32 = u8 __attribute__((vector_size(32)));
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using u16x2 = u16 __attribute__((vector_size(4)));
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using u16x4 = u16 __attribute__((vector_size(8)));
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using u16x8 = u16 __attribute__((vector_size(16)));
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using u16x16 = u16 __attribute__((vector_size(32)));
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using u32x2 = u32 __attribute__((vector_size(8)));
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using u32x4 = u32 __attribute__((vector_size(16)));
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using u32x8 = u32 __attribute__((vector_size(32)));
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using u64x2 = u64 __attribute__((vector_size(16)));
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using u64x4 = u64 __attribute__((vector_size(32)));
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using f32x2 = float __attribute__((vector_size(8)));
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using f32x4 = float __attribute__((vector_size(16)));
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using f32x8 = float __attribute__((vector_size(32)));
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using f64x2 = double __attribute__((vector_size(16)));
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using f64x4 = double __attribute__((vector_size(32)));
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// FIXME: Is this really the best/simplest way?
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// Ideally we should look for the presence of the vector_size attribute instead
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// FIXME: This cannot just be vector as that would somehow clash with AK::Vector, even without being exported
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template<typename T>
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concept SIMDVector = requires { __builtin_convertvector(declval<T>(), T); };
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template<typename T>
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using ElementOf = RemoveReference<decltype(declval<T>()[0])>;
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static_assert(IsSame<ElementOf<i8x4>, i8>);
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static_assert(IsSame<ElementOf<f32x4>, float>);
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template<SIMDVector V>
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constexpr static size_t vector_length = sizeof(V) / sizeof(ElementOf<V>);
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static_assert(vector_length<i8x4> == 4);
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static_assert(vector_length<f32x4> == 4);
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namespace Detail {
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template<typename T>
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struct IndexVectorFor;
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template<SIMDVector T>
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requires(IsIntegral<ElementOf<T>>)
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struct IndexVectorFor<T> {
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using Type = T;
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};
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template<SIMDVector T>
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requires(IsFloatingPoint<ElementOf<T>>)
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struct IndexVectorFor<T> {
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using Type = Conditional<
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IsSame<ElementOf<T>, float>,
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u32 __attribute__((vector_size(sizeof(T)))),
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u64 __attribute__((vector_size(sizeof(T))))>;
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};
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}
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template<SIMDVector T>
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using IndexVectorFor = typename Detail::IndexVectorFor<T>::Type;
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static_assert(IsSame<IndexVectorFor<i8x16>, i8x16>);
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static_assert(IsSame<IndexVectorFor<u32x4>, u32x4>);
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static_assert(IsSame<IndexVectorFor<u64x4>, u64x4>);
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#if defined(AK_COMPILER_CLANG)
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// FIXME: GCC silently ignores the dependent vector_size attribute, this seems to be a bug
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// https://gcc.gnu.org/bugzilla/show_bug.cgi?id=68703
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static_assert(IsSame<IndexVectorFor<f32x4>, u32x4>);
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static_assert(IsSame<IndexVectorFor<f64x4>, u64x4>);
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#endif
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}
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