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/*
* Copyright (c) 2020, the SerenityOS developers.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#pragma once
#include <AK/Types.h>
namespace AK::SIMD {
using i8x2 = i8 __attribute__((vector_size(2)));
using i8x4 = i8 __attribute__((vector_size(4)));
using i8x8 = i8 __attribute__((vector_size(8)));
using i8x16 = i8 __attribute__((vector_size(16)));
using i8x32 = i8 __attribute__((vector_size(32)));
using i16x2 = i16 __attribute__((vector_size(4)));
using i16x4 = i16 __attribute__((vector_size(8)));
using i16x8 = i16 __attribute__((vector_size(16)));
using i16x16 = i16 __attribute__((vector_size(32)));
using i32x2 = i32 __attribute__((vector_size(8)));
using i32x4 = i32 __attribute__((vector_size(16)));
using i32x8 = i32 __attribute__((vector_size(32)));
using i64x2 = i64 __attribute__((vector_size(16)));
using i64x4 = i64 __attribute__((vector_size(32)));
using u8x2 = u8 __attribute__((vector_size(2)));
using u8x4 = u8 __attribute__((vector_size(4)));
using u8x8 = u8 __attribute__((vector_size(8)));
using u8x16 = u8 __attribute__((vector_size(16)));
using u8x32 = u8 __attribute__((vector_size(32)));
using u16x2 = u16 __attribute__((vector_size(4)));
using u16x4 = u16 __attribute__((vector_size(8)));
using u16x8 = u16 __attribute__((vector_size(16)));
using u16x16 = u16 __attribute__((vector_size(32)));
using u32x2 = u32 __attribute__((vector_size(8)));
using u32x4 = u32 __attribute__((vector_size(16)));
using u32x8 = u32 __attribute__((vector_size(32)));
using u64x2 = u64 __attribute__((vector_size(16)));
using u64x4 = u64 __attribute__((vector_size(32)));
using f32x2 = float __attribute__((vector_size(8)));
using f32x4 = float __attribute__((vector_size(16)));
using f32x8 = float __attribute__((vector_size(32)));
using f64x2 = double __attribute__((vector_size(16)));
using f64x4 = double __attribute__((vector_size(32)));
}
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