pocketpy/3rd/numpy/include/xtensor/xtensor_simd.hpp
Anurag Bhat 86b4fc623c
Merge numpy to pocketpy (#303)
* Merge numpy to pocketpy

* Add CI

* Fix CI
2024-09-02 16:22:41 +08:00

334 lines
8.0 KiB
C++

/***************************************************************************
* Copyright (c) Johan Mabille, Sylvain Corlay and Wolf Vollprecht *
* Copyright (c) QuantStack *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#ifndef XTENSOR_SIMD_HPP
#define XTENSOR_SIMD_HPP
#include <vector>
#include <xtl/xdynamic_bitset.hpp>
#include "xutils.hpp"
#ifdef XTENSOR_USE_XSIMD
#include <xsimd/xsimd.hpp>
// #include <xsimd/memory/xsimd_load_store.hpp>
#if defined(_MSV_VER) && (_MSV_VER < 1910)
template <class T, class A>
inline xsimd::batch_bool<T, A> isnan(const xsimd::batch<T, A>& b)
{
return xsimd::isnan(b);
}
#endif
namespace xt_simd
{
template <class T, std::size_t A>
using aligned_allocator = xsimd::aligned_allocator<T, A>;
using aligned_mode = xsimd::aligned_mode;
using unaligned_mode = xsimd::unaligned_mode;
template <class A>
using allocator_alignment = xsimd::allocator_alignment<A>;
template <class A>
using allocator_alignment_t = xsimd::allocator_alignment_t<A>;
template <class C>
using container_alignment = xsimd::container_alignment<C>;
template <class C>
using container_alignment_t = xsimd::container_alignment_t<C>;
template <class T>
using simd_traits = xsimd::simd_traits<T>;
template <class T>
using revert_simd_traits = xsimd::revert_simd_traits<T>;
template <class T>
using simd_type = xsimd::simd_type<T>;
template <class T>
using simd_bool_type = xsimd::simd_bool_type<T>;
template <class T>
using revert_simd_type = xsimd::revert_simd_type<T>;
template <class T1, class T2>
using simd_return_type = xsimd::simd_return_type<T1, T2>;
using xsimd::broadcast_as;
using xsimd::get_alignment_offset;
using xsimd::load_as;
using xsimd::select;
using xsimd::store_as;
template <class V>
using is_batch_bool = xsimd::is_batch_bool<V>;
template <class V>
using is_batch_complex = xsimd::is_batch_complex<V>;
template <class T1, class T2>
using simd_condition = xsimd::detail::simd_condition<T1, T2>;
}
#else // XTENSOR_USE_XSIMD
namespace xt_simd
{
template <class T, std::size_t A>
class aligned_allocator;
struct aligned_mode
{
};
struct unaligned_mode
{
};
template <class A>
struct allocator_alignment
{
using type = unaligned_mode;
};
template <class A>
using allocator_alignment_t = typename allocator_alignment<A>::type;
template <class C>
struct container_alignment
{
using type = unaligned_mode;
};
template <class C>
using container_alignment_t = typename container_alignment<C>::type;
template <class T>
struct simd_traits
{
using type = T;
using bool_type = bool;
using batch_bool = bool;
static constexpr std::size_t size = 1;
};
template <class T>
struct revert_simd_traits
{
using type = T;
static constexpr std::size_t size = simd_traits<type>::size;
};
template <class T>
using simd_type = typename simd_traits<T>::type;
template <class T>
using simd_bool_type = typename simd_traits<T>::bool_type;
template <class T>
using revert_simd_type = typename revert_simd_traits<T>::type;
template <class R, class T>
inline simd_type<R> broadcast_as(const T& value)
{
return value;
}
template <class R, class T>
inline simd_type<R> load_as(const T* src, aligned_mode)
{
return *src;
}
template <class R, class T>
inline simd_type<R> load_as(const T* src, unaligned_mode)
{
return *src;
}
template <class R, class T>
inline void store_as(R* dst, const simd_type<T>& src, aligned_mode)
{
*dst = src;
}
template <class R, class T>
inline void store_as(R* dst, const simd_type<T>& src, unaligned_mode)
{
*dst = src;
}
template <class T>
inline T select(bool cond, const T& t1, const T& t2)
{
return cond ? t1 : t2;
}
template <class T>
inline std::size_t get_alignment_offset(const T* /*p*/, std::size_t size, std::size_t /*block_size*/)
{
return size;
}
template <class T1, class T2>
using simd_return_type = simd_type<T2>;
template <class V>
struct is_batch_bool : std::false_type
{
};
template <class V>
struct is_batch_complex : std::false_type
{
};
template <class T1, class T2>
struct simd_condition : std::true_type
{
};
}
#endif // XTENSOR_USE_XSIMD
namespace xt
{
using xt_simd::aligned_mode;
using xt_simd::unaligned_mode;
struct inner_aligned_mode
{
};
namespace detail
{
template <class A1, class A2>
struct driven_align_mode_impl
{
using type = std::conditional_t<std::is_same<A1, A2>::value, A1, ::xt_simd::unaligned_mode>;
};
template <class A>
struct driven_align_mode_impl<inner_aligned_mode, A>
{
using type = A;
};
}
template <class A1, class A2>
struct driven_align_mode
{
using type = typename detail::driven_align_mode_impl<A1, A2>::type;
};
template <class A1, class A2>
using driven_align_mode_t = typename detail::driven_align_mode_impl<A1, A2>::type;
namespace detail
{
template <class E, class T, class = void>
struct has_load_simd : std::false_type
{
};
template <class E, class T>
struct has_load_simd<
E,
T,
void_t<decltype(std::declval<E>().template load_simd<aligned_mode, T>(typename E::size_type(0)))>>
: std::true_type
{
};
template <class E, class T, bool B = xt_simd::simd_condition<typename E::value_type, T>::value>
struct has_simd_interface_impl : has_load_simd<E, T>
{
};
template <class E, class T>
struct has_simd_interface_impl<E, T, false> : std::false_type
{
};
}
template <class E, class T = typename std::decay_t<E>::value_type>
struct has_simd_interface : detail::has_simd_interface_impl<E, T>
{
};
template <class T>
struct has_simd_type : std::integral_constant<bool, !std::is_same<T, xt_simd::simd_type<T>>::value>
{
};
namespace detail
{
template <class F, class B, class = void>
struct has_simd_apply_impl : std::false_type
{
};
template <class F, class B>
struct has_simd_apply_impl<F, B, void_t<decltype(&F::template simd_apply<B>)>> : std::true_type
{
};
}
template <class F, class B>
struct has_simd_apply : detail::has_simd_apply_impl<F, B>
{
};
template <class T>
using bool_load_type = std::conditional_t<std::is_same<T, bool>::value, uint8_t, T>;
template <class T>
struct forbid_simd : std::false_type
{
};
template <class A>
struct forbid_simd<std::vector<bool, A>> : std::true_type
{
};
template <class A>
struct forbid_simd<const std::vector<bool, A>> : std::true_type
{
};
template <class B, class A>
struct forbid_simd<xtl::xdynamic_bitset<B, A>> : std::true_type
{
};
template <class B, class A>
struct forbid_simd<const xtl::xdynamic_bitset<B, A>> : std::true_type
{
};
template <class C, class T1, class T2>
struct container_simd_return_type
: std::enable_if<!forbid_simd<C>::value, xt_simd::simd_return_type<T1, bool_load_type<T2>>>
{
};
template <class C, class T1, class T2>
using container_simd_return_type_t = typename container_simd_return_type<C, T1, T2>::type;
}
#endif