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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2025 Rasmus Munk Larsen
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PACKET_MATH_CLANG_H
#define EIGEN_PACKET_MATH_CLANG_H
namespace Eigen {
namespace internal {
namespace detail {
// namespace detail contains implementation details specific to this
// file, while namespace internal contains internal APIs used elsewhere
// in Eigen.
template <typename ScalarT, int n>
using VectorType = ScalarT __attribute__((ext_vector_type(n), aligned(n * sizeof(ScalarT))));
} // namespace detail
// --- Primary packet type definitions (fixed at 64 bytes) ---
// TODO(rmlarsen): Generalize to other vector sizes.
static_assert(EIGEN_GENERIC_VECTOR_SIZE_BYTES == 64, "We currently assume the full vector size is 64 bytes");
using Packet16f = detail::VectorType<float, 16>;
using Packet8d = detail::VectorType<double, 8>;
using Packet16i = detail::VectorType<int32_t, 16>;
using Packet8l = detail::VectorType<int64_t, 8>;
// --- packet_traits specializations ---
struct generic_float_packet_traits : default_packet_traits {
enum {
Vectorizable = 1,
AlignedOnScalar = 1,
HasAdd = 1,
HasSub = 1,
HasMul = 1,
HasDiv = 1,
HasNegate = 1,
HasAbs = 1,
HasRound = 1,
HasMin = 1,
HasMax = 1,
HasCmp = 1,
HasSet1 = 1,
HasCast = 1,
HasBitwise = 1,
HasRedux = 1,
HasSign = 1,
HasArg = 0,
HasConj = 1,
// Math functions
HasReciprocal = 1,
HasSin = 1,
HasCos = 1,
HasTan = 1,
HasACos = 1,
HasASin = 1,
HasATan = 1,
HasATanh = 1,
HasLog = 1,
HasLog1p = 1,
HasExpm1 = 1,
HasExp = 1,
HasPow = 1,
HasNdtri = 1,
HasBessel = 1,
HasSqrt = 1,
HasRsqrt = 1,
HasCbrt = 1,
HasTanh = 1,
HasErf = 1,
HasErfc = 1
};
};
template <>
struct packet_traits<float> : generic_float_packet_traits {
using type = Packet16f;
using half = Packet16f;
enum {
size = 16,
};
};
template <>
struct packet_traits<double> : generic_float_packet_traits {
using type = Packet8d;
using half = Packet8d;
enum { size = 8, HasACos = 0, HasASin = 0 };
};
struct generic_integer_packet_traits : default_packet_traits {
enum {
Vectorizable = 1,
AlignedOnScalar = 1,
HasAdd = 1,
HasSub = 1,
HasMul = 1,
HasDiv = 1,
HasNegate = 1,
HasAbs = 1,
HasMin = 1,
HasMax = 1,
HasCmp = 1,
HasSet1 = 1,
HasCast = 1,
HasBitwise = 1,
HasRedux = 1,
// Set remaining to 0
HasRound = 1,
HasSqrt = 0,
HasRsqrt = 0,
HasReciprocal = 0,
HasArg = 0,
HasConj = 1,
HasExp = 0,
HasLog = 0,
HasSin = 0,
HasCos = 0,
};
};
template <>
struct packet_traits<int32_t> : generic_integer_packet_traits {
using type = Packet16i;
using half = Packet16i;
enum {
size = 16,
};
};
template <>
struct packet_traits<int64_t> : generic_integer_packet_traits {
using type = Packet8l;
using half = Packet8l;
enum {
size = 8,
};
};
// --- unpacket_traits specializations ---
struct generic_unpacket_traits : default_unpacket_traits {
enum {
alignment = EIGEN_GENERIC_VECTOR_SIZE_BYTES,
vectorizable = true,
};
};
template <>
struct unpacket_traits<Packet16f> : generic_unpacket_traits {
using type = float;
using half = Packet16f;
using integer_packet = Packet16i;
enum {
size = 16,
};
};
template <>
struct unpacket_traits<Packet8d> : generic_unpacket_traits {
using type = double;
using half = Packet8d;
using integer_packet = Packet8l;
enum {
size = 8,
};
};
template <>
struct unpacket_traits<Packet16i> : generic_unpacket_traits {
using type = int32_t;
using half = Packet16i;
enum {
size = 16,
};
};
template <>
struct unpacket_traits<Packet8l> : generic_unpacket_traits {
using type = int64_t;
using half = Packet8l;
enum {
size = 8,
};
};
namespace detail {
// --- vector type helpers ---
template <typename VectorT>
struct ScalarTypeOfVector {
using type = std::remove_all_extents_t<std::remove_reference_t<decltype(VectorT()[0])>>;
};
template <typename VectorT>
using scalar_type_of_vector_t = typename ScalarTypeOfVector<VectorT>::type;
template <typename VectorType>
struct UnsignedVectorHelpter {
static VectorType v;
static constexpr int n = __builtin_vectorelements(v);
using UnsignedScalar = std::make_unsigned_t<scalar_type_of_vector_t<VectorType>>;
using type = UnsignedScalar __attribute__((ext_vector_type(n), aligned(n * sizeof(UnsignedScalar))));
};
template <typename VectorT>
using unsigned_vector_t = typename UnsignedVectorHelpter<VectorT>::type;
template <typename VectorT>
using HalfPacket = VectorType<typename unpacket_traits<VectorT>::type, unpacket_traits<VectorT>::size / 2>;
template <typename VectorT>
using QuarterPacket = VectorType<typename unpacket_traits<VectorT>::type, unpacket_traits<VectorT>::size / 4>;
// load and store helpers.
template <typename VectorT>
EIGEN_STRONG_INLINE VectorT load_vector_unaligned(const scalar_type_of_vector_t<VectorT>* from) {
VectorT to;
constexpr int n = __builtin_vectorelements(to);
for (int i = 0; i < n; ++i) {
to[i] = from[i];
}
return to;
}
template <typename VectorT>
EIGEN_STRONG_INLINE VectorT load_vector_aligned(const scalar_type_of_vector_t<VectorT>* from) {
return *reinterpret_cast<const VectorT*>(assume_aligned<EIGEN_GENERIC_VECTOR_SIZE_BYTES>(from));
}
template <typename VectorT>
EIGEN_STRONG_INLINE void store_vector_unaligned(scalar_type_of_vector_t<VectorT>* to, const VectorT& from) {
constexpr int n = __builtin_vectorelements(from);
for (int i = 0; i < n; ++i) {
*to++ = from[i];
}
}
template <typename VectorT>
EIGEN_STRONG_INLINE void store_vector_aligned(scalar_type_of_vector_t<VectorT>* to, const VectorT& from) {
*reinterpret_cast<VectorT*>(assume_aligned<EIGEN_GENERIC_VECTOR_SIZE_BYTES>(to)) = from;
}
} // namespace detail
// --- Intrinsic-like specializations ---
// --- Load/Store operations ---
#define EIGEN_CLANG_PACKET_LOAD_STORE_PACKET(PACKET_TYPE) \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE ploadu<PACKET_TYPE>(const detail::scalar_type_of_vector_t<PACKET_TYPE>* from) { \
return detail::load_vector_unaligned<PACKET_TYPE>(from); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pload<PACKET_TYPE>(const detail::scalar_type_of_vector_t<PACKET_TYPE>* from) { \
return detail::load_vector_aligned<PACKET_TYPE>(from); \
} \
template <> \
EIGEN_STRONG_INLINE void pstoreu<detail::scalar_type_of_vector_t<PACKET_TYPE>, PACKET_TYPE>( \
detail::scalar_type_of_vector_t<PACKET_TYPE> * to, const PACKET_TYPE& from) { \
detail::store_vector_unaligned<PACKET_TYPE>(to, from); \
} \
template <> \
EIGEN_STRONG_INLINE void pstore<detail::scalar_type_of_vector_t<PACKET_TYPE>, PACKET_TYPE>( \
detail::scalar_type_of_vector_t<PACKET_TYPE> * to, const PACKET_TYPE& from) { \
detail::store_vector_aligned<PACKET_TYPE>(to, from); \
}
EIGEN_CLANG_PACKET_LOAD_STORE_PACKET(Packet16f)
EIGEN_CLANG_PACKET_LOAD_STORE_PACKET(Packet8d)
EIGEN_CLANG_PACKET_LOAD_STORE_PACKET(Packet16i)
EIGEN_CLANG_PACKET_LOAD_STORE_PACKET(Packet8l)
#undef EIGEN_CLANG_PACKET_LOAD_STORE_PACKET
// --- Broadcast operation ---
template <>
EIGEN_STRONG_INLINE Packet16f pset1frombits<Packet16f>(uint32_t from) {
return Packet16f(numext::bit_cast<float>(from));
}
template <>
EIGEN_STRONG_INLINE Packet8d pset1frombits<Packet8d>(uint64_t from) {
return Packet8d(numext::bit_cast<double>(from));
}
#define EIGEN_CLANG_PACKET_SET1(PACKET_TYPE) \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pset1<PACKET_TYPE>(const unpacket_traits<PACKET_TYPE>::type& from) { \
return PACKET_TYPE(from); \
} \
template <> \
EIGEN_STRONG_INLINE unpacket_traits<PACKET_TYPE>::type pfirst<PACKET_TYPE>(const PACKET_TYPE& from) { \
return from[0]; \
}
EIGEN_CLANG_PACKET_SET1(Packet16f)
EIGEN_CLANG_PACKET_SET1(Packet8d)
EIGEN_CLANG_PACKET_SET1(Packet16i)
EIGEN_CLANG_PACKET_SET1(Packet8l)
#undef EIGEN_CLANG_PACKET_SET1
// --- Arithmetic operations ---
#define EIGEN_CLANG_PACKET_ARITHMETIC(PACKET_TYPE) \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pisnan<PACKET_TYPE>(const PACKET_TYPE& a) { \
return reinterpret_cast<PACKET_TYPE>(a != a); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pnegate<PACKET_TYPE>(const PACKET_TYPE& a) { \
return -a; \
}
EIGEN_CLANG_PACKET_ARITHMETIC(Packet16f)
EIGEN_CLANG_PACKET_ARITHMETIC(Packet8d)
EIGEN_CLANG_PACKET_ARITHMETIC(Packet16i)
EIGEN_CLANG_PACKET_ARITHMETIC(Packet8l)
#undef EIGEN_CLANG_PACKET_ARITHMETIC
// --- Bitwise operations (via casting) ---
namespace detail {
// Note: pcast functions are not template specializations, just helpers
// identical to preinterpret. We duplicate them here to avoid a circular
// dependence with TypeCasting.h.
EIGEN_STRONG_INLINE Packet16i pcast_float_to_int(const Packet16f& a) { return reinterpret_cast<Packet16i>(a); }
EIGEN_STRONG_INLINE Packet16f pcast_int_to_float(const Packet16i& a) { return reinterpret_cast<Packet16f>(a); }
EIGEN_STRONG_INLINE Packet8l pcast_double_to_long(const Packet8d& a) { return reinterpret_cast<Packet8l>(a); }
EIGEN_STRONG_INLINE Packet8d pcast_long_to_double(const Packet8l& a) { return reinterpret_cast<Packet8d>(a); }
} // namespace detail
// Bitwise ops for integer packets
#define EIGEN_CLANG_PACKET_BITWISE_INT(PACKET_TYPE) \
template <> \
constexpr EIGEN_STRONG_INLINE PACKET_TYPE pzero<PACKET_TYPE>(const PACKET_TYPE& /*unused*/) { \
return PACKET_TYPE(0); \
} \
template <> \
constexpr EIGEN_STRONG_INLINE PACKET_TYPE ptrue<PACKET_TYPE>(const PACKET_TYPE& /*unused*/) { \
return PACKET_TYPE(0) == PACKET_TYPE(0); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pand<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return a & b; \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE por<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return a | b; \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pxor<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return a ^ b; \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pandnot<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return a & ~b; \
} \
template <int N> \
EIGEN_STRONG_INLINE PACKET_TYPE parithmetic_shift_right(const PACKET_TYPE& a) { \
return a >> N; \
} \
template <int N> \
EIGEN_STRONG_INLINE PACKET_TYPE plogical_shift_right(const PACKET_TYPE& a) { \
using UnsignedT = detail::unsigned_vector_t<PACKET_TYPE>; \
return reinterpret_cast<PACKET_TYPE>(reinterpret_cast<UnsignedT>(a) >> N); \
} \
template <int N> \
EIGEN_STRONG_INLINE PACKET_TYPE plogical_shift_left(const PACKET_TYPE& a) { \
return a << N; \
}
EIGEN_CLANG_PACKET_BITWISE_INT(Packet16i)
EIGEN_CLANG_PACKET_BITWISE_INT(Packet8l)
#undef EIGEN_CLANG_PACKET_BITWISE_INT
// Bitwise ops for floating point packets
#define EIGEN_CLANG_PACKET_BITWISE_FLOAT(PACKET_TYPE, CAST_TO_INT, CAST_FROM_INT) \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE ptrue<PACKET_TYPE>(const PACKET_TYPE& /* unused */) { \
using Scalar = detail::scalar_type_of_vector_t<PACKET_TYPE>; \
return CAST_FROM_INT(PACKET_TYPE(Scalar(0)) == PACKET_TYPE(Scalar(0))); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pand<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return CAST_FROM_INT(CAST_TO_INT(a) & CAST_TO_INT(b)); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE por<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return CAST_FROM_INT(CAST_TO_INT(a) | CAST_TO_INT(b)); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pxor<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return CAST_FROM_INT(CAST_TO_INT(a) ^ CAST_TO_INT(b)); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pandnot<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return CAST_FROM_INT(CAST_TO_INT(a) & ~CAST_TO_INT(b)); \
}
EIGEN_CLANG_PACKET_BITWISE_FLOAT(Packet16f, detail::pcast_float_to_int, detail::pcast_int_to_float)
EIGEN_CLANG_PACKET_BITWISE_FLOAT(Packet8d, detail::pcast_double_to_long, detail::pcast_long_to_double)
#undef EIGEN_CLANG_PACKET_BITWISE_FLOAT
// --- Min/Max operations ---
#if EIGEN_HAS_BUILTIN(__builtin_elementwise_min) && EIGEN_HAS_BUILTIN(__builtin_elementwise_max) && \
EIGEN_HAS_BUILTIN(__builtin_elementwise_abs)
#define EIGEN_CLANG_PACKET_ELEMENTWISE(PACKET_TYPE) \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pmin<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
/* Match NaN propagation of std::min. */ \
return a == a ? __builtin_elementwise_min(a, b) : a; \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pmax<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
/* Match NaN propagation of std::max. */ \
return a == a ? __builtin_elementwise_max(a, b) : a; \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pmin<PropagateNumbers, PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return __builtin_elementwise_min(a, b); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pmax<PropagateNumbers, PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return __builtin_elementwise_max(a, b); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pmin<PropagateNaN, PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return a != a ? a : (b != b ? b : __builtin_elementwise_min(a, b)); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pmax<PropagateNaN, PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b) { \
return a != a ? a : (b != b ? b : __builtin_elementwise_max(a, b)); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pabs<PACKET_TYPE>(const PACKET_TYPE& a) { \
return __builtin_elementwise_abs(a); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pselect<PACKET_TYPE>(const PACKET_TYPE& mask, const PACKET_TYPE& a, \
const PACKET_TYPE& b) { \
return mask != 0 ? a : b; \
}
EIGEN_CLANG_PACKET_ELEMENTWISE(Packet16f)
EIGEN_CLANG_PACKET_ELEMENTWISE(Packet8d)
EIGEN_CLANG_PACKET_ELEMENTWISE(Packet16i)
EIGEN_CLANG_PACKET_ELEMENTWISE(Packet8l)
#undef EIGEN_CLANG_PACKET_ELEMENTWISE
#endif
// --- Math functions (float/double only) ---
#if EIGEN_HAS_BUILTIN(__builtin_elementwise_floor) && EIGEN_HAS_BUILTIN(__builtin_elementwise_ceil) && \
EIGEN_HAS_BUILTIN(__builtin_elementwise_round) && EIGEN_HAS_BUILTIN(__builtin_elementwise_roundeven) && \
EIGEN_HAS_BUILTIN(__builtin_elementwise_trunc) && EIGEN_HAS_BUILTIN(__builtin_elementwise_sqrt)
#define EIGEN_CLANG_PACKET_MATH_FLOAT(PACKET_TYPE) \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pfloor<PACKET_TYPE>(const PACKET_TYPE& a) { \
return __builtin_elementwise_floor(a); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pceil<PACKET_TYPE>(const PACKET_TYPE& a) { \
return __builtin_elementwise_ceil(a); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pround<PACKET_TYPE>(const PACKET_TYPE& a) { \
return __builtin_elementwise_round(a); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE print<PACKET_TYPE>(const PACKET_TYPE& a) { \
return __builtin_elementwise_roundeven(a); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE ptrunc<PACKET_TYPE>(const PACKET_TYPE& a) { \
return __builtin_elementwise_trunc(a); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE psqrt<PACKET_TYPE>(const PACKET_TYPE& a) { \
return __builtin_elementwise_sqrt(a); \
}
EIGEN_CLANG_PACKET_MATH_FLOAT(Packet16f)
EIGEN_CLANG_PACKET_MATH_FLOAT(Packet8d)
#undef EIGEN_CLANG_PACKET_MATH_FLOAT
#endif
// --- Fused Multiply-Add (MADD) ---
#if defined(__FMA__) && EIGEN_HAS_BUILTIN(__builtin_elementwise_fma)
#define EIGEN_CLANG_PACKET_MADD(PACKET_TYPE) \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pmadd<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b, \
const PACKET_TYPE& c) { \
return __builtin_elementwise_fma(a, b, c); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pmsub<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b, \
const PACKET_TYPE& c) { \
return __builtin_elementwise_fma(a, b, -c); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pnmadd<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b, \
const PACKET_TYPE& c) { \
return __builtin_elementwise_fma(-a, b, c); \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pnmsub<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b, \
const PACKET_TYPE& c) { \
return -(__builtin_elementwise_fma(a, b, c)); \
}
#else
// Fallback if FMA builtin is not available
#define EIGEN_CLANG_PACKET_MADD(PACKET_TYPE) \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pmadd<PACKET_TYPE>(const PACKET_TYPE& a, const PACKET_TYPE& b, \
const PACKET_TYPE& c) { \
return (a * b) + c; \
}
#endif
EIGEN_CLANG_PACKET_MADD(Packet16f)
EIGEN_CLANG_PACKET_MADD(Packet8d)
#undef EIGEN_CLANG_PACKET_MADD
#define EIGEN_CLANG_PACKET_SCATTER_GATHER(PACKET_TYPE) \
template <> \
EIGEN_STRONG_INLINE void pscatter(unpacket_traits<PACKET_TYPE>::type* to, const PACKET_TYPE& from, Index stride) { \
constexpr int size = unpacket_traits<PACKET_TYPE>::size; \
for (int i = 0; i < size; ++i) { \
to[i * stride] = from[i]; \
} \
} \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE pgather<typename unpacket_traits<PACKET_TYPE>::type, PACKET_TYPE>( \
const unpacket_traits<PACKET_TYPE>::type* from, Index stride) { \
constexpr int size = unpacket_traits<PACKET_TYPE>::size; \
PACKET_TYPE result; \
for (int i = 0; i < size; ++i) { \
result[i] = from[i * stride]; \
} \
return result; \
}
EIGEN_CLANG_PACKET_SCATTER_GATHER(Packet16f)
EIGEN_CLANG_PACKET_SCATTER_GATHER(Packet8d)
EIGEN_CLANG_PACKET_SCATTER_GATHER(Packet16i)
EIGEN_CLANG_PACKET_SCATTER_GATHER(Packet8l)
#undef EIGEN_CLANG_PACKET_SCATTER_GATHER
// ---- Various operations that depend on __builtin_shufflevector.
#if EIGEN_HAS_BUILTIN(__builtin_shufflevector)
namespace detail {
template <typename Packet>
EIGEN_STRONG_INLINE Packet preverse_impl_8(const Packet& a) {
return __builtin_shufflevector(a, a, 7, 6, 5, 4, 3, 2, 1, 0);
}
template <typename Packet>
EIGEN_STRONG_INLINE Packet preverse_impl_16(const Packet& a) {
return __builtin_shufflevector(a, a, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0);
}
} // namespace detail
#define EIGEN_CLANG_PACKET_REVERSE(PACKET_TYPE, SIZE) \
template <> \
EIGEN_STRONG_INLINE PACKET_TYPE preverse<PACKET_TYPE>(const PACKET_TYPE& a) { \
return detail::preverse_impl_##SIZE(a); \
}
EIGEN_CLANG_PACKET_REVERSE(Packet16f, 16)
EIGEN_CLANG_PACKET_REVERSE(Packet8d, 8)
EIGEN_CLANG_PACKET_REVERSE(Packet16i, 16)
EIGEN_CLANG_PACKET_REVERSE(Packet8l, 8)
#undef EIGEN_CLANG_PACKET_REVERSE
namespace detail {
template <typename Packet>
EIGEN_STRONG_INLINE Packet ploaddup16(const typename unpacket_traits<Packet>::type* from) {
static_assert((unpacket_traits<Packet>::size) % 2 == 0, "Packet size must be a multiple of 2");
using HalfPacket = HalfPacket<Packet>;
HalfPacket a = load_vector_unaligned<HalfPacket>(from);
return __builtin_shufflevector(a, a, 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7);
}
template <typename Packet>
EIGEN_STRONG_INLINE Packet ploadquad16(const typename unpacket_traits<Packet>::type* from) {
static_assert((unpacket_traits<Packet>::size) % 4 == 0, "Packet size must be a multiple of 4");
using QuarterPacket = QuarterPacket<Packet>;
QuarterPacket a = load_vector_unaligned<QuarterPacket>(from);
return __builtin_shufflevector(a, a, 0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3);
}
template <typename Packet>
EIGEN_STRONG_INLINE Packet ploaddup8(const typename unpacket_traits<Packet>::type* from) {
static_assert((unpacket_traits<Packet>::size) % 2 == 0, "Packet size must be a multiple of 2");
using HalfPacket = HalfPacket<Packet>;
HalfPacket a = load_vector_unaligned<HalfPacket>(from);
return __builtin_shufflevector(a, a, 0, 0, 1, 1, 2, 2, 3, 3);
}
template <typename Packet>
EIGEN_STRONG_INLINE Packet ploadquad8(const typename unpacket_traits<Packet>::type* from) {
static_assert((unpacket_traits<Packet>::size) % 4 == 0, "Packet size must be a multiple of 4");
using QuarterPacket = QuarterPacket<Packet>;
QuarterPacket a = load_vector_unaligned<QuarterPacket>(from);
return __builtin_shufflevector(a, a, 0, 0, 0, 0, 1, 1, 1, 1);
}
} // namespace detail
template <>
EIGEN_STRONG_INLINE Packet16f ploaddup<Packet16f>(const float* from) {
return detail::ploaddup16<Packet16f>(from);
}
template <>
EIGEN_STRONG_INLINE Packet8d ploaddup<Packet8d>(const double* from) {
return detail::ploaddup8<Packet8d>(from);
}
template <>
EIGEN_STRONG_INLINE Packet16i ploaddup<Packet16i>(const int32_t* from) {
return detail::ploaddup16<Packet16i>(from);
}
template <>
EIGEN_STRONG_INLINE Packet8l ploaddup<Packet8l>(const int64_t* from) {
return detail::ploaddup8<Packet8l>(from);
}
template <>
EIGEN_STRONG_INLINE Packet16f ploadquad<Packet16f>(const float* from) {
return detail::ploadquad16<Packet16f>(from);
}
template <>
EIGEN_STRONG_INLINE Packet8d ploadquad<Packet8d>(const double* from) {
return detail::ploadquad8<Packet8d>(from);
}
template <>
EIGEN_STRONG_INLINE Packet16i ploadquad<Packet16i>(const int32_t* from) {
return detail::ploadquad16<Packet16i>(from);
}
template <>
EIGEN_STRONG_INLINE Packet8l ploadquad<Packet8l>(const int64_t* from) {
return detail::ploadquad8<Packet8l>(from);
}
template <>
EIGEN_STRONG_INLINE Packet16f plset<Packet16f>(const float& a) {
Packet16f x{a + 0.0f, a + 1.0f, a + 2.0f, a + 3.0f, a + 4.0f, a + 5.0f, a + 6.0f, a + 7.0f,
a + 8.0f, a + 9.0f, a + 10.0f, a + 11.0f, a + 12.0f, a + 13.0f, a + 14.0f, a + 15.0f};
return x;
}
template <>
EIGEN_STRONG_INLINE Packet8d plset<Packet8d>(const double& a) {
return Packet8d{a + 0.0, a + 1.0, a + 2.0, a + 3.0, a + 4.0, a + 5.0, a + 6.0, a + 7.0};
}
template <>
EIGEN_STRONG_INLINE Packet16i plset<Packet16i>(const int32_t& a) {
return Packet16i{a + 0, a + 1, a + 2, a + 3, a + 4, a + 5, a + 6, a + 7,
a + 8, a + 9, a + 10, a + 11, a + 12, a + 13, a + 14, a + 15};
}
template <>
EIGEN_STRONG_INLINE Packet8l plset<Packet8l>(const int64_t& a) {
return Packet8l{a + 0, a + 1, a + 2, a + 3, a + 4, a + 5, a + 6, a + 7};
}
template <>
EIGEN_STRONG_INLINE Packet16f peven_mask(const Packet16f& /* unused */) {
float kTrue = numext::bit_cast<float>(int32_t(-1));
float kFalse = 0.0f;
return Packet16f{kTrue, kFalse, kTrue, kFalse, kTrue, kFalse, kTrue, kFalse,
kTrue, kFalse, kTrue, kFalse, kTrue, kFalse, kTrue, kFalse};
}
template <>
EIGEN_STRONG_INLINE Packet8d peven_mask(const Packet8d& /* unused */) {
double kTrue = numext::bit_cast<double>(int64_t(-1l));
double kFalse = 0.0;
return Packet8d{kTrue, kFalse, kTrue, kFalse, kTrue, kFalse, kTrue, kFalse};
}
// Helpers for ptranspose.
namespace detail {
template <typename Packet>
EIGEN_ALWAYS_INLINE void zip_in_place16(Packet& p1, Packet& p2) {
Packet tmp = __builtin_shufflevector(p1, p2, 0, 16, 1, 17, 2, 18, 3, 19, 4, 20, 5, 21, 6, 22, 7, 23);
p2 = __builtin_shufflevector(p1, p2, 8, 24, 9, 25, 10, 26, 11, 27, 12, 28, 13, 29, 14, 30, 15, 31);
p1 = tmp;
}
template <typename Packet>
EIGEN_ALWAYS_INLINE void zip_in_place8(Packet& p1, Packet& p2) {
Packet tmp = __builtin_shufflevector(p1, p2, 0, 8, 1, 9, 2, 10, 3, 11);
p2 = __builtin_shufflevector(p1, p2, 4, 12, 5, 13, 6, 14, 7, 15);
p1 = tmp;
}
template <typename Packet>
void zip_in_place(Packet& p1, Packet& p2);
template <>
EIGEN_ALWAYS_INLINE void zip_in_place<Packet16f>(Packet16f& p1, Packet16f& p2) {
zip_in_place16(p1, p2);
}
template <>
EIGEN_ALWAYS_INLINE void zip_in_place<Packet8d>(Packet8d& p1, Packet8d& p2) {
zip_in_place8(p1, p2);
}
template <>
EIGEN_ALWAYS_INLINE void zip_in_place<Packet16i>(Packet16i& p1, Packet16i& p2) {
zip_in_place16(p1, p2);
}
template <>
EIGEN_ALWAYS_INLINE void zip_in_place<Packet8l>(Packet8l& p1, Packet8l& p2) {
zip_in_place8(p1, p2);
}
template <typename Packet>
EIGEN_ALWAYS_INLINE void ptranspose_impl(PacketBlock<Packet, 2>& kernel) {
zip_in_place(kernel.packet[0], kernel.packet[1]);
}
template <typename Packet>
EIGEN_ALWAYS_INLINE void ptranspose_impl(PacketBlock<Packet, 4>& kernel) {
zip_in_place(kernel.packet[0], kernel.packet[2]);
zip_in_place(kernel.packet[1], kernel.packet[3]);
zip_in_place(kernel.packet[0], kernel.packet[1]);
zip_in_place(kernel.packet[2], kernel.packet[3]);
}
template <typename Packet>
EIGEN_ALWAYS_INLINE void ptranspose_impl(PacketBlock<Packet, 8>& kernel) {
zip_in_place(kernel.packet[0], kernel.packet[4]);
zip_in_place(kernel.packet[1], kernel.packet[5]);
zip_in_place(kernel.packet[2], kernel.packet[6]);
zip_in_place(kernel.packet[3], kernel.packet[7]);
zip_in_place(kernel.packet[0], kernel.packet[2]);
zip_in_place(kernel.packet[1], kernel.packet[3]);
zip_in_place(kernel.packet[4], kernel.packet[6]);
zip_in_place(kernel.packet[5], kernel.packet[7]);
zip_in_place(kernel.packet[0], kernel.packet[1]);
zip_in_place(kernel.packet[2], kernel.packet[3]);
zip_in_place(kernel.packet[4], kernel.packet[5]);
zip_in_place(kernel.packet[6], kernel.packet[7]);
}
template <typename Packet>
EIGEN_ALWAYS_INLINE void ptranspose_impl(PacketBlock<Packet, 16>& kernel) {
EIGEN_UNROLL_LOOP
for (int i = 0; i < 4; ++i) {
const int m = (1 << i);
EIGEN_UNROLL_LOOP
for (int j = 0; j < m; ++j) {
const int n = (1 << (3 - i));
EIGEN_UNROLL_LOOP
for (int k = 0; k < n; ++k) {
const int idx = 2 * j * n + k;
zip_in_place(kernel.packet[idx], kernel.packet[idx + n]);
}
}
}
}
} // namespace detail
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet16f, 16>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet16f, 8>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet16f, 4>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet16f, 2>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet8d, 8>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet8d, 4>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet8d, 2>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet16i, 16>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet16i, 8>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet16i, 4>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet16i, 2>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet8l, 8>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet8l, 4>& kernel) {
detail::ptranspose_impl(kernel);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet8l, 2>& kernel) {
detail::ptranspose_impl(kernel);
}
#endif
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_PACKET_MATH_CLANG_H