// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2008-2009 Gael Guennebaud // Copyright (C) 2006-2008 Benoit Jacob // // 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/. // SPDX-License-Identifier: MPL-2.0 #include #include "packetmath_test_shared.h" #include "random_without_cast_overflow.h" using internal::unpacket_traits; template ::IsInteger || !NumTraits::IsSigned, int> = 0> inline T REF_ADD(const T& a, const T& b) { return a + b; } template ::IsInteger && NumTraits::IsSigned, int> = 0> inline T REF_ADD(const T& a, const T& b) { using UnsignedT = std::make_unsigned_t; return static_cast(static_cast(a) + static_cast(b)); } template ::IsInteger || !NumTraits::IsSigned, int> = 0> inline T REF_SUB(const T& a, const T& b) { return a - b; } template ::IsInteger && NumTraits::IsSigned, int> = 0> inline T REF_SUB(const T& a, const T& b) { using UnsignedT = std::make_unsigned_t; return static_cast(static_cast(a) - static_cast(b)); } template ::IsInteger || std::is_same::value, int> = 0> inline T REF_MUL(const T& a, const T& b) { return a * b; } template ::IsInteger && !std::is_same::value, int> = 0> inline T REF_MUL(const T& a, const T& b) { // Evaluate in an unsigned type at least as wide as int so that sub-int // operands are not promoted back to signed int (whose product can overflow); // the result then wraps modulo 2^bits just like pmul. using UnsignedT = std::common_type_t, unsigned>; return static_cast(static_cast(a) * static_cast(b)); } template struct madd_impl { static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar madd(const Scalar& a, const Scalar& b, const Scalar& c) { return a * b + c; } static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar msub(const Scalar& a, const Scalar& b, const Scalar& c) { return a * b - c; } static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar nmadd(const Scalar& a, const Scalar& b, const Scalar& c) { return c - a * b; } static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar nmsub(const Scalar& a, const Scalar& b, const Scalar& c) { return Scalar(0) - (a * b + c); } }; template struct madd_impl::IsInteger && !std::is_same::value>> { // Unsigned type at least as wide as int, so sub-int operands are not promoted // back to signed int (whose products/sums can overflow); results wrap modulo // 2^bits like the packet madd/msub ops. using UnsignedScalar = std::common_type_t, unsigned>; static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar madd(const Scalar& a, const Scalar& b, const Scalar& c) { return static_cast(static_cast(a) * static_cast(b) + static_cast(c)); } static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar msub(const Scalar& a, const Scalar& b, const Scalar& c) { return static_cast(static_cast(a) * static_cast(b) - static_cast(c)); } static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar nmadd(const Scalar& a, const Scalar& b, const Scalar& c) { return static_cast(static_cast(c) - static_cast(a) * static_cast(b)); } static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar nmsub(const Scalar& a, const Scalar& b, const Scalar& c) { return static_cast(UnsignedScalar(0) - (static_cast(a) * static_cast(b) + static_cast(c))); } }; template struct madd_impl::value && Eigen::NumTraits::IsSigned && !NumTraits::IsInteger>> { static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar madd(const Scalar& a, const Scalar& b, const Scalar& c) { return numext::madd(a, b, c); } static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar msub(const Scalar& a, const Scalar& b, const Scalar& c) { return numext::madd(a, b, Scalar(-c)); } static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar nmadd(const Scalar& a, const Scalar& b, const Scalar& c) { return numext::madd(Scalar(-a), b, c); } static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar nmsub(const Scalar& a, const Scalar& b, const Scalar& c) { return -Scalar(numext::madd(a, b, c)); } }; template inline T REF_MADD(const T& a, const T& b, const T& c) { return madd_impl::madd(a, b, c); } template inline T REF_MSUB(const T& a, const T& b, const T& c) { return madd_impl::msub(a, b, c); } template inline T REF_NMADD(const T& a, const T& b, const T& c) { return madd_impl::nmadd(a, b, c); } template inline T REF_NMSUB(const T& a, const T& b, const T& c) { return madd_impl::nmsub(a, b, c); } template inline T REF_DIV(const T& a, const T& b) { return a / b; } template inline T REF_RECIPROCAL(const T& a) { return T(1) / a; } template inline T REF_ABS_DIFF(const T& a, const T& b) { return a > b ? a - b : b - a; } // MacOS apple-clang has an issue with pcmp_eq for half when inlined, // resulting in an ICE, but only in this specific test. template EIGEN_DONT_INLINE Packet REF_PCMP_EQ(const Packet& a, const Packet& b) { return internal::pcmp_eq(a, b); } // Specializations for bool. template <> inline bool REF_ADD(const bool& a, const bool& b) { return a || b; } template <> inline bool REF_SUB(const bool& a, const bool& b) { return a ^ b; } template <> inline bool REF_MUL(const bool& a, const bool& b) { return a && b; } template <> inline bool REF_MADD(const bool& a, const bool& b, const bool& c) { return (a && b) || c; } template <> inline bool REF_DIV(const bool& a, const bool& b) { return a && b; } template <> inline bool REF_RECIPROCAL(const bool& a) { return a; } template inline T REF_FREXP(const T& x, T& exp) { int iexp = 0; EIGEN_USING_STD(frexp) const T out = static_cast(frexp(x, &iexp)); exp = static_cast(iexp); // The exponent value is unspecified if the input is inf or NaN, but MSVC // sets it to 1. We need to set it back to zero for consistency. if (!(numext::isfinite)(x)) { exp = T(0); } return out; } template inline T REF_LDEXP(const T& x, const T& exp) { EIGEN_USING_STD(ldexp) return static_cast(ldexp(x, static_cast(exp))); } // provides a convenient function to take the absolute value of each component of a complex number to prevent // catastrophic cancellation in randomly generated complex numbers template ::IsComplex> struct abs_helper_impl { static T run(T x) { return numext::abs(x); } }; template struct abs_helper_impl { static T run(T x) { T res = x; numext::real_ref(res) = numext::abs(numext::real(res)); numext::imag_ref(res) = numext::abs(numext::imag(res)); return res; } }; template T abs_helper(T x) { return abs_helper_impl::run(x); } // Uses pcast to cast from one array to another. template struct pcast_array; template struct pcast_array { typedef typename internal::unpacket_traits::type SrcScalar; typedef typename internal::unpacket_traits::type TgtScalar; static void cast(const SrcScalar* src, size_t size, TgtScalar* dst) { static const int SrcPacketSize = internal::unpacket_traits::size; static const int TgtPacketSize = internal::unpacket_traits::size; size_t i; for (i = 0; i < size && i + SrcPacketSize <= size; i += TgtPacketSize) { internal::pstoreu(dst + i, internal::pcast(internal::ploadu(src + i))); } // Leftovers that cannot be loaded into a packet. for (; i < size; ++i) { dst[i] = static_cast(src[i]); } } }; template struct pcast_array { static void cast(const typename internal::unpacket_traits::type* src, size_t size, typename internal::unpacket_traits::type* dst) { static const int SrcPacketSize = internal::unpacket_traits::size; static const int TgtPacketSize = internal::unpacket_traits::size; for (size_t i = 0; i < size; i += TgtPacketSize) { SrcPacket a = internal::ploadu(src + i); SrcPacket b = internal::ploadu(src + i + SrcPacketSize); internal::pstoreu(dst + i, internal::pcast(a, b)); } } }; template struct pcast_array { static void cast(const typename internal::unpacket_traits::type* src, size_t size, typename internal::unpacket_traits::type* dst) { static const int SrcPacketSize = internal::unpacket_traits::size; static const int TgtPacketSize = internal::unpacket_traits::size; for (size_t i = 0; i < size; i += TgtPacketSize) { SrcPacket a = internal::ploadu(src + i); SrcPacket b = internal::ploadu(src + i + SrcPacketSize); SrcPacket c = internal::ploadu(src + i + 2 * SrcPacketSize); SrcPacket d = internal::ploadu(src + i + 3 * SrcPacketSize); internal::pstoreu(dst + i, internal::pcast(a, b, c, d)); } } }; template struct pcast_array { static void cast(const typename internal::unpacket_traits::type* src, size_t size, typename internal::unpacket_traits::type* dst) { static const int SrcPacketSize = internal::unpacket_traits::size; static const int TgtPacketSize = internal::unpacket_traits::size; for (size_t i = 0; i < size; i += TgtPacketSize) { SrcPacket a = internal::ploadu(src + i); SrcPacket b = internal::ploadu(src + i + SrcPacketSize); SrcPacket c = internal::ploadu(src + i + 2 * SrcPacketSize); SrcPacket d = internal::ploadu(src + i + 3 * SrcPacketSize); SrcPacket e = internal::ploadu(src + i + 4 * SrcPacketSize); SrcPacket f = internal::ploadu(src + i + 5 * SrcPacketSize); SrcPacket g = internal::ploadu(src + i + 6 * SrcPacketSize); SrcPacket h = internal::ploadu(src + i + 7 * SrcPacketSize); internal::pstoreu(dst + i, internal::pcast(a, b, c, d, e, f, g, h)); } } }; template struct test_cast_helper; template struct test_cast_helper { static void run() {} }; template struct test_cast_helper { static void run() { typedef typename internal::unpacket_traits::type SrcScalar; typedef typename internal::unpacket_traits::type TgtScalar; static const int SrcPacketSize = internal::unpacket_traits::size; static const int TgtPacketSize = internal::unpacket_traits::size; static const int BlockSize = SrcPacketSize * SrcCoeffRatio; eigen_assert(BlockSize == TgtPacketSize * TgtCoeffRatio && "Packet sizes and cast ratios are mismatched."); static const int DataSize = 10 * BlockSize; EIGEN_ALIGN_MAX SrcScalar data1[DataSize]; EIGEN_ALIGN_MAX TgtScalar data2[DataSize]; EIGEN_ALIGN_MAX TgtScalar ref[DataSize]; // Construct a packet of scalars that will not overflow when casting for (int i = 0; i < DataSize; ++i) { data1[i] = internal::random_without_cast_overflow::value(); } for (int i = 0; i < DataSize; ++i) { ref[i] = static_cast(data1[i]); } pcast_array::cast(data1, DataSize, data2); VERIFY(test::areApprox(ref, data2, DataSize) && "internal::pcast<>"); // Test that pcast generates the same result. for (int i = 0; i < DataSize; ++i) { data2[i] = internal::pcast(data1[i]); } VERIFY(test::areApprox(ref, data2, DataSize) && "internal::pcast<>"); } }; template struct test_cast { static void run() { typedef typename internal::unpacket_traits::type SrcScalar; typedef typename internal::unpacket_traits::type TgtScalar; typedef typename internal::type_casting_traits TypeCastingTraits; static const int SrcCoeffRatio = TypeCastingTraits::SrcCoeffRatio; static const int TgtCoeffRatio = TypeCastingTraits::TgtCoeffRatio; static const int SrcPacketSize = internal::unpacket_traits::size; static const int TgtPacketSize = internal::unpacket_traits::size; static const bool HasCast = internal::unpacket_traits::vectorizable && internal::unpacket_traits::vectorizable && TypeCastingTraits::VectorizedCast && (SrcPacketSize * SrcCoeffRatio == TgtPacketSize * TgtCoeffRatio); test_cast_helper::run(); } }; template ::type, bool Vectorized = internal::packet_traits::Vectorizable, bool HasHalf = !std::is_same::half, TgtPacket>::value> struct test_cast_runner; template struct test_cast_runner { static void run() { test_cast::run(); } }; template struct test_cast_runner { static void run() { test_cast::run(); test_cast_runner::half>::run(); } }; template struct test_cast_runner { static void run() {} }; template struct packetmath_pcast_ops_runner { static void run() { test_cast_runner::run(); test_cast_runner::run(); test_cast_runner::run(); test_cast_runner::run(); test_cast_runner::run(); test_cast_runner::run(); test_cast_runner::run(); test_cast_runner::run(); test_cast_runner::run(); test_cast_runner::run(); test_cast_runner::run(); test_cast_runner>::run(); test_cast_runner>::run(); test_cast_runner::run(); test_cast_runner::run(); } }; // Only some types support cast from std::complex<>. template struct packetmath_pcast_ops_runner::IsComplex>> { static void run() { test_cast_runner>::run(); test_cast_runner>::run(); test_cast_runner::run(); test_cast_runner::run(); } }; template void packetmath_boolean_mask_ops() { using RealScalar = typename NumTraits::Real; const int PacketSize = internal::unpacket_traits::size; const int size = 2 * PacketSize; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar ref[size]; for (int i = 0; i < size; ++i) { data1[i] = internal::random(); } CHECK_CWISE1_MASK(internal::ptrue, internal::ptrue); CHECK_CWISE2_IF(true, internal::pandnot, internal::pandnot); for (int i = 0; i < PacketSize; ++i) { data1[i] = Scalar(RealScalar(i)); data1[i + PacketSize] = internal::random() ? data1[i] : Scalar(0); } CHECK_CWISE2_MASK(REF_PCMP_EQ, internal::pcmp_eq); // Test (-0) == (0) for signed operations for (int i = 0; i < PacketSize; ++i) { data1[i] = Scalar(-0.0); data1[i + PacketSize] = internal::random() ? data1[i] : Scalar(0); } CHECK_CWISE2_MASK(REF_PCMP_EQ, internal::pcmp_eq); // Test NaN for (int i = 0; i < PacketSize; ++i) { data1[i] = NumTraits::quiet_NaN(); data1[i + PacketSize] = internal::random() ? data1[i] : Scalar(0); } CHECK_CWISE2_MASK(REF_PCMP_EQ, internal::pcmp_eq); } template void packetmath_boolean_mask_ops_real() { const int PacketSize = internal::unpacket_traits::size; const int size = 2 * PacketSize; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[size]; for (int i = 0; i < PacketSize; ++i) { data1[i] = internal::random(); data1[i + PacketSize] = internal::random() ? data1[i] : Scalar(0); } CHECK_CWISE2_MASK(internal::pcmp_lt_or_nan, internal::pcmp_lt_or_nan); // Test (-0) <=/< (0) for signed operations for (int i = 0; i < PacketSize; ++i) { data1[i] = Scalar(-0.0); data1[i + PacketSize] = internal::random() ? data1[i] : Scalar(0); } CHECK_CWISE2_MASK(internal::pcmp_lt_or_nan, internal::pcmp_lt_or_nan); // Test NaN for (int i = 0; i < PacketSize; ++i) { data1[i] = NumTraits::quiet_NaN(); data1[i + PacketSize] = internal::random() ? data1[i] : Scalar(0); } CHECK_CWISE2_MASK(internal::pcmp_lt_or_nan, internal::pcmp_lt_or_nan); } template struct packetmath_boolean_mask_ops_notcomplex_test { static void run() {} }; template struct packetmath_boolean_mask_ops_notcomplex_test< Scalar, Packet, std::enable_if_t::HasCmp && !std::is_same::value>> { static void run() { const int PacketSize = internal::unpacket_traits::size; const int size = 2 * PacketSize; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[size]; for (int i = 0; i < PacketSize; ++i) { data1[i] = internal::random(); data1[i + PacketSize] = internal::random() ? data1[i] : Scalar(0); } CHECK_CWISE2_MASK(internal::pcmp_le, internal::pcmp_le); CHECK_CWISE2_MASK(internal::pcmp_lt, internal::pcmp_lt); // Test (-0) <=/< (0) for signed operations for (int i = 0; i < PacketSize; ++i) { data1[i] = Scalar(-0.0); data1[i + PacketSize] = internal::random() ? data1[i] : Scalar(0); } CHECK_CWISE2_MASK(internal::pcmp_le, internal::pcmp_le); CHECK_CWISE2_MASK(internal::pcmp_lt, internal::pcmp_lt); // Test NaN for (int i = 0; i < PacketSize; ++i) { data1[i] = NumTraits::quiet_NaN(); data1[i + PacketSize] = internal::random() ? data1[i] : Scalar(0); } CHECK_CWISE2_MASK(internal::pcmp_le, internal::pcmp_le); CHECK_CWISE2_MASK(internal::pcmp_lt, internal::pcmp_lt); } }; template struct packetmath_split_half_compare_test { static void run() {} }; // An emulated wide compare that combines per-half compares lexicographically is correct only if the // low half is ordered as unsigned. Operands sharing a high half are what reach that path, and // packetmath_boolean_mask_ops_notcomplex_test builds none: it pairs each value with itself or zero. template struct packetmath_split_half_compare_test< Scalar, Packet, std::enable_if_t::value && internal::packet_traits::HasCmp && !std::is_same::value>> { // Class scope keeps these usable as array bounds inside a lambda, which MSVC otherwise treats as // captured and therefore non-constant. static constexpr int PacketSize = internal::unpacket_traits::size; static constexpr int size = 2 * PacketSize; static void run() { using Unsigned = std::make_unsigned_t; constexpr int kHalfBits = 4 * int(sizeof(Scalar)); constexpr Unsigned kHalfSignBit = Unsigned(Unsigned(1) << (kHalfBits - 1)); constexpr Unsigned kLowMask = Unsigned(Unsigned(kHalfSignBit << 1) - Unsigned(1)); const Unsigned low_parts[] = {Unsigned(0), Unsigned(1), Unsigned(kHalfSignBit - Unsigned(1)), kHalfSignBit, kLowMask}; constexpr int kNumLow = int(sizeof(low_parts) / sizeof(low_parts[0])); // The second high half sets the lane's own sign bit, exercising the high compare for signed and // unsigned Scalar alike. const Unsigned high_parts[] = {Unsigned(0), kLowMask}; constexpr int kNumHigh = int(sizeof(high_parts) / sizeof(high_parts[0])); EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar ref[size]; const auto compose = [&](int high_index, int low_index) { return Scalar(Unsigned(Unsigned(high_parts[high_index] << kHalfBits) | low_parts[low_index])); }; for (int high_index = 0; high_index < kNumHigh; ++high_index) { for (int lhs_low_index = 0; lhs_low_index < kNumLow; ++lhs_low_index) { for (int rhs_low_index = 0; rhs_low_index < kNumLow; ++rhs_low_index) { for (int lane = 0; lane < PacketSize; ++lane) { data1[lane] = compose(high_index, lhs_low_index); data1[lane + PacketSize] = compose(high_index, rhs_low_index); } CHECK_CWISE2_MASK(internal::pcmp_le, internal::pcmp_le); CHECK_CWISE2_MASK(internal::pcmp_lt, internal::pcmp_lt); CHECK_CWISE2_MASK(REF_PCMP_EQ, internal::pcmp_eq); CHECK_CWISE2_IF(internal::packet_traits::HasMin, (std::min), internal::pmin); CHECK_CWISE2_IF(internal::packet_traits::HasMax, (std::max), internal::pmax); CHECK_CWISE2_IF(internal::packet_traits::HasAbsDiff, REF_ABS_DIFF, internal::pabsdiff); } } } } }; template struct packetmath_minus_zero_add_test { static void run() {} }; template struct packetmath_minus_zero_add_test::IsInteger>> { static void run() { const int PacketSize = internal::unpacket_traits::size; const int size = 2 * PacketSize; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[size] = {}; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[size] = {}; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar ref[size] = {}; for (int i = 0; i < PacketSize; ++i) { data1[i] = Scalar(-0.0); data1[i + PacketSize] = Scalar(-0.0); } CHECK_CWISE2_IF(internal::packet_traits::HasAdd, REF_ADD, internal::padd); } }; template struct packetmath_integer_predicates_test { static void run() {} }; // Integer scalars have no NaN or infinity: pisnan/pisinf must be all-false and pisfinite // all-true for every input, including |a| == 2^(digits-1), whose bit pattern matches the // constant synthesized by pinf(). template struct packetmath_integer_predicates_test< Scalar, Packet, std::enable_if_t::IsInteger && !std::is_same::value>> { static void run() { const int PacketSize = internal::unpacket_traits::size; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data[PacketSize]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar res[PacketSize]; // "True" is Scalar(1) in the scalar mask convention and all-ones bits in the packet one; // ptrue of the tested Packet type yields the right one either way (the runner also // instantiates Packet = Scalar). const Scalar scalar_true = internal::ptrue(Scalar(0)); EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar lane_true[PacketSize]; internal::pstore(lane_true, internal::ptrue(internal::pset1(Scalar(0)))); const Scalar values[] = {Scalar(0), Scalar(1), static_cast(-1), Scalar(Scalar(1) << (std::numeric_limits::digits - 1)), NumTraits::highest(), NumTraits::lowest()}; const int num_values = sizeof(values) / sizeof(values[0]); for (int i = 0; i < num_values; ++i) { VERIFY(numext::is_exactly_zero(internal::pisnan(values[i])) && "scalar integer pisnan"); VERIFY(numext::is_exactly_zero(internal::pisinf(values[i])) && "scalar integer pisinf"); VERIFY(internal::pisfinite(values[i]) == scalar_true && "scalar integer pisfinite"); } for (int i = 0; i < PacketSize; ++i) data[i] = values[i % num_values]; internal::pstore(res, internal::pisnan(internal::pload(data))); for (int i = 0; i < PacketSize; ++i) VERIFY(numext::is_exactly_zero(res[i]) && "integer pisnan"); internal::pstore(res, internal::pisinf(internal::pload(data))); for (int i = 0; i < PacketSize; ++i) VERIFY(numext::is_exactly_zero(res[i]) && "integer pisinf"); internal::pstore(res, internal::pisfinite(internal::pload(data))); for (int i = 0; i < PacketSize; ++i) VERIFY(res[i] == lane_true[i] && "integer pisfinite"); } }; template struct packetmath_64bit_boundary_test { static void run() {} }; // Focused coverage for 64-bit lanes: non-ARM64 `pcmp_eq` splits each lane into 32-bit // halves and `AND`s the two half-comparisons together. The generic `packetmath_boolean_mask_ops` // only feeds 0/1 values, whose high half is always zero, so a broken half-pairing/`AND` there can // go undetected. Here lanes vary only the high half, only the low half, or neither, and boundary // values cross the 2^32 seam. template struct packetmath_64bit_boundary_test::IsInteger && sizeof(Scalar) == 8>> { static constexpr int PacketSize = unpacket_traits::size; static constexpr int size = 2 * PacketSize; static void run() { EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar ref[size]; const auto ref_abs = [](const Scalar& x) { return x < Scalar(0) ? test::negate(x) : x; }; const auto check_ops = [&] { CHECK_CWISE2_MASK(REF_PCMP_EQ, internal::pcmp_eq); CHECK_CWISE2_MASK(internal::pcmp_lt, internal::pcmp_lt); CHECK_CWISE2_MASK(internal::pcmp_le, internal::pcmp_le); CHECK_CWISE2_IF(internal::packet_traits::HasMin, (std::min), internal::pmin); CHECK_CWISE2_IF(internal::packet_traits::HasMax, (std::max), internal::pmax); CHECK_CWISE2_IF(internal::packet_traits::HasMul, REF_MUL, internal::pmul); CHECK_CWISE1_IF(internal::packet_traits::HasNegate, test::negate, internal::pnegate); CHECK_CWISE1(ref_abs, internal::pabs); }; constexpr Scalar high = 0x11111111; constexpr Scalar low = 0x00000001; constexpr Scalar reference = (high << 32) | low; constexpr Scalar high_shifted = (high << 33) | low; constexpr Scalar low_shifted = (high << 32) | (low << 1); static constexpr Scalar half_lanes[] = {high_shifted, low_shifted, reference}; constexpr int half_lanes_count = sizeof(half_lanes) / sizeof(half_lanes[0]); constexpr int half_lanes_chunks = numext::div_ceil(half_lanes_count, PacketSize); for (int chunk = 0; chunk < half_lanes_chunks; ++chunk) { Map>(data1, PacketSize).setConstant(reference); for (int i = 0; i < PacketSize; ++i) data1[i + PacketSize] = half_lanes[(chunk * PacketSize + i) % half_lanes_count]; check_ops(); for (int i = 0; i < PacketSize; ++i) std::swap(data1[i], data1[i + PacketSize]); check_ops(); } const auto from_bits = [](unsigned long long bits) { return numext::bit_cast(bits); }; const Scalar boundary_values[] = { Scalar(0), Scalar(1), from_bits(0xFFFFFFFFFFFFFFFFull), // -1 (signed) / UINT64_MAX (unsigned) from_bits(0x8000000000000000ull), // INT64_MIN (signed) / 2^63 (unsigned) from_bits(0x7FFFFFFFFFFFFFFFull), // INT64_MAX from_bits(0x00000000FFFFFFFFull), // 2^32 - 1 from_bits(0x0000000100000000ull), // 2^32 from_bits(0x00000001FFFFFFFFull), // 2^33 - 1 }; constexpr int num_boundary = sizeof(boundary_values) / sizeof(boundary_values[0]); // Test every distinct pair of `boundary_values` entries against each other. Broadcast each // pair across all lanes; lane-position coverage is already exercised above and in the // self-value sweep below. for (int i = 0; i < num_boundary; ++i) { for (int j = i + 1; j < num_boundary; ++j) { for (int k = 0; k < PacketSize; ++k) { data1[k] = boundary_values[i]; data1[k + PacketSize] = boundary_values[j]; } check_ops(); for (int k = 0; k < PacketSize; ++k) std::swap(data1[k], data1[k + PacketSize]); check_ops(); } } constexpr int num_self_chunks = numext::div_ceil(num_boundary, PacketSize); for (int chunk = 0; chunk < num_self_chunks; ++chunk) { for (int i = 0; i < PacketSize; ++i) { const int idx = (chunk * PacketSize + i) % num_boundary; data1[i] = data1[i + PacketSize] = boundary_values[idx]; } check_ops(); } } }; // Ensure optimization barrier compiles and doesn't modify contents. // Only applies to raw types, so will not work for std::complex, Eigen::half // or Eigen::bfloat16. For those you would need to refer to an underlying // storage element. template struct eigen_optimization_barrier_test { static void run() {} }; template struct eigen_optimization_barrier_test< Packet, std::enable_if_t::IsComplex && !std::is_same::value && !std::is_same::value>> { static void run() { typedef typename internal::unpacket_traits::type Scalar; Scalar s = internal::random(); Packet barrier = internal::pset1(s); EIGEN_OPTIMIZATION_BARRIER(barrier); eigen_assert(s == internal::pfirst(barrier) && "EIGEN_OPTIMIZATION_BARRIER"); } }; template ::HasNegate> struct negate_test_impl { static void run_negate(Scalar* data1, Scalar* data2, Scalar* ref, int PacketSize) { CHECK_CWISE1_IF(HasNegate, test::negate, internal::pnegate); } static void run_nmsub(Scalar* data1, Scalar* data2, Scalar* ref, int PacketSize) { CHECK_CWISE3_IF(HasNegate, REF_NMSUB, internal::pnmsub); } }; template struct negate_test_impl { static void run_negate(Scalar*, Scalar*, Scalar*, int) {} static void run_nmsub(Scalar*, Scalar*, Scalar*, int) {} }; template void negate_test(Scalar* data1, Scalar* data2, Scalar* ref, int size) { negate_test_impl::run_negate(data1, data2, ref, size); } template void nmsub_test(Scalar* data1, Scalar* data2, Scalar* ref, int size) { negate_test_impl::run_nmsub(data1, data2, ref, size); } template void packetmath() { typedef internal::packet_traits PacketTraits; const int PacketSize = internal::unpacket_traits::size; typedef typename NumTraits::Real RealScalar; if (g_first_pass) std::cerr << "=== Testing packet of type '" << typeid(Packet).name() << "' and scalar type '" << typeid(Scalar).name() << "' and size '" << PacketSize << "' ===\n"; constexpr int max_size = PacketSize > 4 ? PacketSize : 4; const int size = PacketSize * max_size; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data3[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar ref[size]; RealScalar refvalue = RealScalar(0); eigen_optimization_barrier_test::run(); eigen_optimization_barrier_test::run(); for (int i = 0; i < size; ++i) { data1[i] = internal::random(); data2[i] = internal::random(); refvalue = (std::max)(refvalue, numext::abs(data1[i])); } internal::pstore(data2, internal::pload(data1)); VERIFY(test::areApprox(data1, data2, PacketSize) && "aligned load/store"); for (int offset = 0; offset < PacketSize; ++offset) { internal::pstore(data2, internal::ploadu(data1 + offset)); VERIFY(test::areApprox(data1 + offset, data2, PacketSize) && "internal::ploadu"); } for (int offset = 0; offset < PacketSize; ++offset) { internal::pstoreu(data2 + offset, internal::pload(data1)); VERIFY(test::areApprox(data1, data2 + offset, PacketSize) && "internal::pstoreu"); } for (int M = 0; M < PacketSize; ++M) { for (int N = 0; N <= PacketSize; ++N) { for (int j = 0; j < size; ++j) { data1[j] = internal::random(); data2[j] = internal::random(); refvalue = (std::max)(refvalue, numext::abs(data1[j])); } if (M == 0) { internal::pstore_partial(data2, internal::pload_partial(data1, N), N); VERIFY(test::areApprox(data1, data2, N) && "aligned loadN/storeN"); for (int offset = 0; offset < PacketSize; ++offset) { internal::pstore_partial(data2, internal::ploadu_partial(data1 + offset, N), N); VERIFY(test::areApprox(data1 + offset, data2, N) && "internal::ploadu_partial"); } for (int offset = 0; offset < PacketSize; ++offset) { internal::pstoreu_partial(data2 + offset, internal::pload_partial(data1, N), N); VERIFY(test::areApprox(data1, data2 + offset, N) && "internal::pstoreu_partial"); } } if (N + M > PacketSize) continue; // Don't read or write past end of Packet internal::pstore_partial(data2, internal::pload_partial(data1, N, M), N, M); VERIFY(test::areApprox(data1, data2, N) && "aligned offset loadN/storeN"); } } if (internal::unpacket_traits::masked_load_available) { test::packet_helper::masked_load_available, Packet> h; unsigned long long max_umask = (0x1ull << PacketSize); for (int offset = 0; offset < PacketSize; ++offset) { for (unsigned long long umask = 0; umask < max_umask; ++umask) { h.store(data2, h.load(data1 + offset, umask)); for (int k = 0; k < PacketSize; ++k) data3[k] = ((umask & (0x1ull << k)) >> k) ? data1[k + offset] : Scalar(0); VERIFY(test::areApprox(data3, data2, PacketSize) && "internal::ploadu masked"); } } } if (internal::unpacket_traits::masked_store_available) { test::packet_helper::masked_store_available, Packet> h; unsigned long long max_umask = (0x1ull << PacketSize); for (int offset = 0; offset < PacketSize; ++offset) { for (unsigned long long umask = 0; umask < max_umask; ++umask) { internal::pstore(data2, internal::pset1(Scalar(0))); h.store(data2, h.loadu(data1 + offset), umask); for (int k = 0; k < PacketSize; ++k) data3[k] = ((umask & (0x1ull << k)) >> k) ? data1[k + offset] : Scalar(0); VERIFY(test::areApprox(data3, data2, PacketSize) && "internal::pstoreu masked"); } } } VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasAdd); VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasSub); VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasMul); CHECK_CWISE2_IF(PacketTraits::HasAdd, REF_ADD, internal::padd); CHECK_CWISE2_IF(PacketTraits::HasSub, REF_SUB, internal::psub); CHECK_CWISE2_IF(PacketTraits::HasMul, REF_MUL, internal::pmul); CHECK_CWISE2_IF(PacketTraits::HasDiv, REF_DIV, internal::pdiv); negate_test(data1, data2, ref, PacketSize); CHECK_CWISE1_IF(PacketTraits::HasReciprocal, REF_RECIPROCAL, internal::preciprocal); CHECK_CWISE1(numext::conj, internal::pconj); CHECK_CWISE1_IF(PacketTraits::HasSign, numext::sign, internal::psign); for (int offset = 0; offset < 3; ++offset) { for (int i = 0; i < PacketSize; ++i) ref[i] = data1[offset]; internal::pstore(data2, internal::pset1(data1[offset])); VERIFY(test::areApprox(ref, data2, PacketSize) && "internal::pset1"); } { for (int i = 0; i < PacketSize * 4; ++i) ref[i] = data1[i / PacketSize]; Packet A0, A1, A2, A3; internal::pbroadcast4(data1, A0, A1, A2, A3); internal::pstore(data2 + 0 * PacketSize, A0); internal::pstore(data2 + 1 * PacketSize, A1); internal::pstore(data2 + 2 * PacketSize, A2); internal::pstore(data2 + 3 * PacketSize, A3); VERIFY(test::areApprox(ref, data2, 4 * PacketSize) && "internal::pbroadcast4"); } { for (int i = 0; i < PacketSize * 2; ++i) ref[i] = data1[i / PacketSize]; Packet A0, A1; internal::pbroadcast2(data1, A0, A1); internal::pstore(data2 + 0 * PacketSize, A0); internal::pstore(data2 + 1 * PacketSize, A1); VERIFY(test::areApprox(ref, data2, 2 * PacketSize) && "internal::pbroadcast2"); } VERIFY(internal::isApprox(data1[0], internal::pfirst(internal::pload(data1))) && "internal::pfirst"); if (PacketSize > 1) { // apply different offsets to check that ploaddup is robust to unaligned inputs for (int offset = 0; offset < 4; ++offset) { for (int i = 0; i < PacketSize / 2; ++i) ref[2 * i + 0] = ref[2 * i + 1] = data1[offset + i]; internal::pstore(data2, internal::ploaddup(data1 + offset)); VERIFY(test::areApprox(ref, data2, PacketSize) && "ploaddup"); } } if (PacketSize > 2) { // apply different offsets to check that ploadquad is robust to unaligned inputs for (int offset = 0; offset < 4; ++offset) { for (int i = 0; i < PacketSize / 4; ++i) ref[4 * i + 0] = ref[4 * i + 1] = ref[4 * i + 2] = ref[4 * i + 3] = data1[offset + i]; internal::pstore(data2, internal::ploadquad(data1 + offset)); VERIFY(test::areApprox(ref, data2, PacketSize) && "ploadquad"); } } // REF_ADD folds with defined wraparound for signed integers (matching predux, // which wraps mod 2^N) and with || for bool, avoiding both signed-overflow UB // and the MSVC C4804 "unsafe use of bool" warning that raw operator+ triggers. ref[0] = Scalar(0); for (int i = 0; i < PacketSize; ++i) ref[0] = REF_ADD(ref[0], data1[i]); VERIFY(test::isApproxAbs(ref[0], internal::predux(internal::pload(data1)), refvalue) && "internal::predux"); if (!std::is_same::half>::value) { int HalfPacketSize = PacketSize > 4 ? PacketSize / 2 : PacketSize; for (int i = 0; i < HalfPacketSize; ++i) ref[i] = Scalar(0); for (int i = 0; i < PacketSize; ++i) ref[i % HalfPacketSize] = REF_ADD(ref[i % HalfPacketSize], data1[i]); internal::pstore(data2, internal::predux_half(internal::pload(data1))); VERIFY(test::areApprox(ref, data2, HalfPacketSize) && "internal::predux_half"); } // Avoid overflows. if (NumTraits::IsInteger && NumTraits::IsSigned && Eigen::internal::unpacket_traits::size > 1) { Scalar limit = static_cast( static_cast(std::pow(static_cast(numext::real(NumTraits::highest())), 1.0 / static_cast(Eigen::internal::unpacket_traits::size)))); for (int i = 0; i < PacketSize; ++i) { data1[i] = internal::random(Scalar(0) - limit, limit); } } else if (!NumTraits::IsInteger && !NumTraits::IsComplex && !std::is_same::value) { // Prevent very small product results by adjusting range. Otherwise, // we may end up with multiplying e.g. 32 Eigen::halfs with values < 1. for (int i = 0; i < PacketSize; ++i) { data1[i] = REF_MUL(internal::random(Scalar(0.5), Scalar(1)), (internal::random() ? Scalar(-1) : Scalar(1))); } } ref[0] = Scalar(1); for (int i = 0; i < PacketSize; ++i) ref[0] = REF_MUL(ref[0], data1[i]); VERIFY(internal::isApprox(ref[0], internal::predux_mul(internal::pload(data1))) && "internal::predux_mul"); for (int i = 0; i < PacketSize; ++i) ref[i] = data1[PacketSize - i - 1]; internal::pstore(data2, internal::preverse(internal::pload(data1))); VERIFY(test::areApprox(ref, data2, PacketSize) && "internal::preverse"); internal::PacketBlock kernel; for (int i = 0; i < PacketSize; ++i) { kernel.packet[i] = internal::pload(data1 + i * PacketSize); } ptranspose(kernel); for (int i = 0; i < PacketSize; ++i) { internal::pstore(data2, kernel.packet[i]); for (int j = 0; j < PacketSize; ++j) { VERIFY(test::isApproxAbs(data2[j], data1[i + j * PacketSize], refvalue) && "ptranspose"); } } // GeneralBlockPanelKernel also checks PacketBlock; if (PacketSize > 4 && PacketSize % 4 == 0) { internal::PacketBlock kernel2; for (int i = 0; i < 4; ++i) { kernel2.packet[i] = internal::pload(data1 + i * PacketSize); } ptranspose(kernel2); int data_counter = 0; for (int i = 0; i < PacketSize; ++i) { for (int j = 0; j < 4; ++j) { data2[data_counter++] = data1[j * PacketSize + i]; } } for (int i = 0; i < 4; ++i) { internal::pstore(data3, kernel2.packet[i]); for (int j = 0; j < PacketSize; ++j) { VERIFY(test::isApproxAbs(data3[j], data2[i * PacketSize + j], refvalue) && "ptranspose"); } } } { for (int i = 0; i < PacketSize; ++i) { // "if" mask // Note: it's UB to load 0xFF directly into a `bool`. uint8_t v = internal::random() ? (std::is_same::value ? static_cast(true) : 0xff) : 0; // Avoid strict aliasing violation by using memset. memset(static_cast(data1 + i), v, sizeof(Scalar)); // "then" packet data1[i + PacketSize] = internal::random(); // "else" packet data1[i + 2 * PacketSize] = internal::random(); } CHECK_CWISE3_IF(true, internal::pselect, internal::pselect); } for (int i = 0; i < size; ++i) { data1[i] = internal::random(); } CHECK_CWISE1(internal::pzero, internal::pzero); CHECK_CWISE2_IF(true, internal::por, internal::por); CHECK_CWISE2_IF(true, internal::pxor, internal::pxor); CHECK_CWISE2_IF(true, internal::pand, internal::pand); packetmath_boolean_mask_ops(); packetmath_pcast_ops_runner::run(); packetmath_minus_zero_add_test::run(); packetmath_integer_predicates_test::run(); packetmath_64bit_boundary_test::run(); CHECK_CWISE3_IF(true, REF_MADD, internal::pmadd); if (!std::is_same::value && NumTraits::IsSigned) { nmsub_test(data1, data2, ref, PacketSize); } // For pmsub, pnmadd, the values can cancel each other to become near zero, // which can lead to very flaky tests. Here we ensure the signs are such that // they do not cancel. for (int i = 0; i < PacketSize; ++i) { data1[i] = abs_helper(internal::random()); data1[i + PacketSize] = abs_helper(internal::random()); data1[i + 2 * PacketSize] = Scalar(0) - abs_helper(internal::random()); } if (!std::is_same::value && NumTraits::IsSigned) { CHECK_CWISE3_IF(true, REF_MSUB, internal::pmsub); CHECK_CWISE3_IF(true, REF_NMADD, internal::pnmadd); } CHECK_CWISE1_IF(PacketTraits::HasSqrt, numext::sqrt, internal::psqrt); CHECK_CWISE1_IF(PacketTraits::HasRsqrt, numext::rsqrt, internal::prsqrt); CHECK_CWISE1_IF(PacketTraits::HasCbrt, numext::cbrt, internal::pcbrt); } // Notice that this definition works for complex types as well. // std::log2 only supports real types, not complex. template Scalar log2(Scalar x) { return Scalar(EIGEN_LOG2E) * std::log(x); } template void packetmath_real() { typedef internal::packet_traits PacketTraits; const int PacketSize = internal::unpacket_traits::size; const int size = PacketSize * 4; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[PacketSize * 4] = {}; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[PacketSize * 4] = {}; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar ref[PacketSize * 4] = {}; // Negate with -0. if (PacketTraits::HasNegate) { test::packet_helper h; data1[0] = Scalar{-0}; h.store(data2, internal::pnegate(h.load(data1))); typedef std::make_unsigned_t::type> Bits; Bits bits = numext::bit_cast(data2[0]); VERIFY_IS_EQUAL(bits, static_cast(Bits(1) << (sizeof(Scalar) * CHAR_BIT - 1))); } for (int i = 0; i < size; ++i) { data1[i] = Scalar(internal::random(0, 1) * std::pow(10., internal::random(-6, 6))); data2[i] = Scalar(internal::random(0, 1) * std::pow(10., internal::random(-6, 6))); } if (internal::random(0, 1) < 0.1f) data1[internal::random(0, PacketSize)] = Scalar(0); CHECK_CWISE1_IF(PacketTraits::HasLog, std::log, internal::plog); CHECK_CWISE1_IF(PacketTraits::HasLog, log2, internal::plog2); CHECK_CWISE1_IF(PacketTraits::HasLog10, std::log10, internal::plog10); CHECK_CWISE1_IF(PacketTraits::HasRsqrt, numext::rsqrt, internal::prsqrt); for (int i = 0; i < size; ++i) { data1[i] = Scalar(internal::random(-1, 1) * std::pow(10., internal::random(-3, 3))); data2[i] = Scalar(internal::random(-1, 1) * std::pow(10., internal::random(-3, 3))); } CHECK_CWISE1_IF(PacketTraits::HasSin, std::sin, internal::psin); CHECK_CWISE1_IF(PacketTraits::HasCos, std::cos, internal::pcos); CHECK_CWISE1_IF(PacketTraits::HasTan, std::tan, internal::ptan); CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::round, internal::pround); CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::ceil, internal::pceil); CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::floor, internal::pfloor); CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::rint, internal::print); CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::trunc, internal::ptrunc); CHECK_CWISE1_IF(PacketTraits::HasSign, numext::sign, internal::psign); packetmath_boolean_mask_ops_real(); // Rounding edge cases. if (PacketTraits::HasRound) { typedef typename internal::make_integer::type IntType; // Start with values that cannot fit inside an integer, work down to less than one. Scalar val = numext::mini(Scalar(2) * static_cast(NumTraits::highest()), NumTraits::highest()); std::vector values; while (val > Scalar(0.25)) { // Cover both even and odd, positive and negative cases. values.push_back(val); values.push_back(val + Scalar(0.3)); values.push_back(val + Scalar(0.5)); values.push_back(val + Scalar(0.8)); values.push_back(val + Scalar(1)); values.push_back(val + Scalar(1.3)); values.push_back(val + Scalar(1.5)); values.push_back(val + Scalar(1.8)); values.push_back(-val); values.push_back(-val - Scalar(0.3)); values.push_back(-val - Scalar(0.5)); values.push_back(-val - Scalar(0.8)); values.push_back(-val - Scalar(1)); values.push_back(-val - Scalar(1.3)); values.push_back(-val - Scalar(1.5)); values.push_back(-val - Scalar(1.8)); values.push_back(Scalar(-1.5) + val); // Bug 1785. val = val / Scalar(2); } values.push_back(NumTraits::infinity()); values.push_back(-NumTraits::infinity()); values.push_back(NumTraits::quiet_NaN()); for (size_t k = 0; k < values.size(); ++k) { data1[0] = values[k]; CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::round, internal::pround); CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::ceil, internal::pceil); CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::floor, internal::pfloor); CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::rint, internal::print); CHECK_CWISE1_EXACT_IF(PacketTraits::HasRound, numext::trunc, internal::ptrunc); } } for (int i = 0; i < size; ++i) { data1[i] = Scalar(internal::random(-1, 1)); data2[i] = Scalar(internal::random(-1, 1)); } CHECK_CWISE1_IF(PacketTraits::HasASin, std::asin, internal::pasin); CHECK_CWISE1_IF(PacketTraits::HasACos, std::acos, internal::pacos); CHECK_CWISE1_IF(PacketTraits::HasATan, std::atan, internal::patan); CHECK_CWISE1_IF(PacketTraits::HasATanh, std::atanh, internal::patanh); for (int i = 0; i < size; ++i) { data1[i] = Scalar(internal::random(-87, 88)); data2[i] = Scalar(internal::random(-87, 88)); data1[0] = -NumTraits::infinity(); } CHECK_CWISE1_IF(PacketTraits::HasExp, std::exp, internal::pexp); CHECK_CWISE1_IF(PacketTraits::HasExp, std::exp2, internal::pexp2); CHECK_CWISE1_BYREF1_IF(PacketTraits::HasExp, REF_FREXP, internal::pfrexp); if (PacketTraits::HasExp) { // Check denormals: #if !EIGEN_ARCH_ARM for (int j = 0; j < 3; ++j) { data1[0] = Scalar(std::ldexp(1, NumTraits::min_exponent() - j)); CHECK_CWISE1_BYREF1_IF(PacketTraits::HasExp, REF_FREXP, internal::pfrexp); data1[0] = -data1[0]; CHECK_CWISE1_BYREF1_IF(PacketTraits::HasExp, REF_FREXP, internal::pfrexp); } #endif // zero data1[0] = Scalar(0); CHECK_CWISE1_BYREF1_IF(PacketTraits::HasExp, REF_FREXP, internal::pfrexp); // inf and NaN only compare output fraction, not exponent. test::packet_helper h; Packet pout; Scalar sout; Scalar special[] = {NumTraits::infinity(), -NumTraits::infinity(), NumTraits::quiet_NaN()}; for (int i = 0; i < 3; ++i) { data1[0] = special[i]; ref[0] = Scalar(REF_FREXP(data1[0], ref[PacketSize])); h.store(data2, internal::pfrexp(h.load(data1), h.forward_reference(pout, sout))); VERIFY(test::areApprox(ref, data2, 1) && "internal::pfrexp"); } } for (int i = 0; i < PacketSize; ++i) { data1[i] = Scalar(internal::random(-1, 1)); data2[i] = Scalar(internal::random(-1, 1)); } for (int i = 0; i < PacketSize; ++i) { data1[i + PacketSize] = Scalar(internal::random(-4, 4)); data2[i + PacketSize] = Scalar(internal::random(-4, 4)); } CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); if (PacketTraits::HasExp) { data1[0] = Scalar(-1); // underflow to zero data1[PacketSize] = Scalar(NumTraits::min_exponent() - 55); CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); // overflow to inf data1[PacketSize] = Scalar(NumTraits::max_exponent() + 10); CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); // NaN stays NaN data1[0] = NumTraits::quiet_NaN(); CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); VERIFY((numext::isnan)(data2[0])); // inf stays inf data1[0] = NumTraits::infinity(); data1[PacketSize] = Scalar(NumTraits::min_exponent() - 10); CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); // zero stays zero data1[0] = Scalar(0); data1[PacketSize] = Scalar(NumTraits::max_exponent() + 10); CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); // Small number big exponent. data1[0] = Scalar(std::ldexp(Scalar(1.0), NumTraits::min_exponent() - 1)); data1[PacketSize] = Scalar(-NumTraits::min_exponent() + NumTraits::max_exponent()); CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); // Big number small exponent. data1[0] = Scalar(std::ldexp(Scalar(1.0), NumTraits::max_exponent() - 1)); data1[PacketSize] = Scalar(+NumTraits::min_exponent() - NumTraits::max_exponent()); CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); // Near-max magnitude with small negative exponents. Regression guard for // the 4-way scale-factor split: the remainder factor c2 = 2^(e-3*floor(e/4)) // is > 1 for e in {-1, -2, -5, -6, ...}, so the multiply tree must apply // the downscale c1 before c2 -- otherwise (numext::abs(a)) * c2 spuriously // overflows to inf for finite results like ldexp((numext::numeric_limits) // ::max(), -1). for (int i = 0; i < PacketSize; ++i) { data1[i] = (numext::numeric_limits::max)(); data1[i + PacketSize] = Scalar(-1 - (i % 8)); // -1, -2, ..., -8 } CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); // For |e| >= 2 * max_exponent, reassociated scale factors overflow and can // turn zero into NaN or finite denormal results into infinity. #if !EIGEN_ARCH_ARM const Scalar tiny = std::numeric_limits::denorm_min(); #else // 32-bit ARM flushes denormal inputs to zero. const Scalar tiny = (std::numeric_limits::min)(); #endif for (int i = 0; i < PacketSize; ++i) { data1[i] = (i % 2) ? tiny : Scalar(0); data1[i + PacketSize] = Scalar(2 * NumTraits::max_exponent() + (i % 4)); } CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); for (int i = 0; i < PacketSize; ++i) { data1[i] = (i % 2) ? Scalar(1) : Scalar(0); data1[i + PacketSize] = Scalar(-2 * NumTraits::max_exponent() - (i % 4)); } CHECK_CWISE2_IF(PacketTraits::HasExp, REF_LDEXP, internal::pldexp); } for (int i = 0; i < size; ++i) { data1[i] = Scalar(internal::random(-1, 1) * std::pow(10., internal::random(-6, 6))); data2[i] = Scalar(internal::random(-1, 1) * std::pow(10., internal::random(-6, 6))); } data1[0] = Scalar(1e-20); CHECK_CWISE1_IF(PacketTraits::HasTanh, std::tanh, internal::ptanh); if (PacketTraits::HasExp && PacketSize >= 2) { const Scalar small = NumTraits::epsilon(); data1[0] = NumTraits::quiet_NaN(); data1[1] = small; test::packet_helper h; h.store(data2, internal::pexp(h.load(data1))); VERIFY((numext::isnan)(data2[0])); VERIFY_IS_APPROX(std::exp(small), data2[1]); data1[0] = -small; data1[1] = Scalar(0); h.store(data2, internal::pexp(h.load(data1))); VERIFY_IS_APPROX(std::exp(-small), data2[0]); VERIFY_IS_EQUAL(std::exp(Scalar(0)), data2[1]); data1[0] = (std::numeric_limits::min)(); data1[1] = -(std::numeric_limits::min)(); h.store(data2, internal::pexp(h.load(data1))); VERIFY_IS_APPROX(std::exp((std::numeric_limits::min)()), data2[0]); VERIFY_IS_APPROX(std::exp(-(std::numeric_limits::min)()), data2[1]); data1[0] = std::numeric_limits::denorm_min(); data1[1] = -std::numeric_limits::denorm_min(); h.store(data2, internal::pexp(h.load(data1))); VERIFY_IS_APPROX(std::exp(std::numeric_limits::denorm_min()), data2[0]); VERIFY_IS_APPROX(std::exp(-std::numeric_limits::denorm_min()), data2[1]); // pexp must produce subnormal outputs for inputs in // [log(denorm_min), log(min)). #if !EIGEN_ARCH_ARM // 32-bit ARM flushes subnormals. if (std::numeric_limits::has_denorm == std::denorm_present) { const Scalar log_min = numext::log((std::numeric_limits::min)()); const Scalar log_denorm_min = numext::log(std::numeric_limits::denorm_min()); data1[0] = log_min - Scalar(0.5); // just inside subnormal cliff data1[1] = Scalar(0.5) * (log_min + log_denorm_min); // mid-subnormal h.store(data2, internal::pexp(h.load(data1))); VERIFY_IS_APPROX(numext::exp(data1[0]), data2[0]); VERIFY_IS_APPROX(numext::exp(data1[1]), data2[1]); } #endif } if (PacketTraits::HasTanh) { // NOTE this test might fail with GCC prior to 6.3, see MathFunctionsImpl.h for details. data1[0] = NumTraits::quiet_NaN(); test::packet_helper::HasTanh, Packet> h; h.store(data2, internal::ptanh(h.load(data1))); VERIFY((numext::isnan)(data2[0])); } if (PacketTraits::HasExp) { internal::scalar_logistic_op logistic; for (int i = 0; i < size; ++i) { data1[i] = Scalar(internal::random(-20, 20)); } test::packet_helper h; h.store(data2, logistic.packetOp(h.load(data1))); for (int i = 0; i < PacketSize; ++i) { VERIFY_IS_APPROX(data2[i], logistic(data1[i])); } } data1[0] = NumTraits::infinity(); data1[1] = Scalar(-1); CHECK_CWISE1_IF(PacketTraits::HasLog1p, std::log1p, internal::plog1p); data1[0] = NumTraits::infinity(); data1[1] = -NumTraits::infinity(); CHECK_CWISE1_IF(PacketTraits::HasExpm1, std::expm1, internal::pexpm1); if (PacketSize >= 2) { data1[0] = NumTraits::quiet_NaN(); data1[1] = NumTraits::epsilon(); if (PacketTraits::HasLog) { test::packet_helper h; h.store(data2, internal::plog(h.load(data1))); VERIFY((numext::isnan)(data2[0])); // TODO(cantonios): Re-enable for bfloat16. if (!std::is_same::value) { VERIFY_IS_APPROX(std::log(data1[1]), data2[1]); } data1[0] = -NumTraits::epsilon(); data1[1] = Scalar(0); h.store(data2, internal::plog(h.load(data1))); VERIFY((numext::isnan)(data2[0])); VERIFY_IS_EQUAL(std::log(Scalar(0)), data2[1]); data1[0] = (std::numeric_limits::min)(); data1[1] = -(std::numeric_limits::min)(); h.store(data2, internal::plog(h.load(data1))); // TODO(cantonios): Re-enable for bfloat16. if (!std::is_same::value) { VERIFY_IS_APPROX(std::log((std::numeric_limits::min)()), data2[0]); } VERIFY((numext::isnan)(data2[1])); // Note: 32-bit arm always flushes denorms to zero. #if !EIGEN_ARCH_ARM if (std::numeric_limits::has_denorm == std::denorm_present) { data1[0] = std::numeric_limits::denorm_min(); data1[1] = -std::numeric_limits::denorm_min(); h.store(data2, internal::plog(h.load(data1))); // TODO(rmlarsen): Re-enable for bfloat16. if (!std::is_same::value) { VERIFY_IS_APPROX(std::log(std::numeric_limits::denorm_min()), data2[0]); } VERIFY((numext::isnan)(data2[1])); } #endif data1[0] = Scalar(-1.0f); h.store(data2, internal::plog(h.load(data1))); VERIFY((numext::isnan)(data2[0])); data1[0] = NumTraits::infinity(); h.store(data2, internal::plog(h.load(data1))); VERIFY((numext::isinf)(data2[0])); } if (PacketTraits::HasLog10) { test::packet_helper h; data1[0] = Scalar(0); data1[1] = NumTraits::infinity(); h.store(data2, internal::plog10(h.load(data1))); VERIFY_IS_EQUAL(std::log10(Scalar(0)), data2[0]); VERIFY_IS_EQUAL(std::log10(NumTraits::infinity()), data2[1]); } if (PacketTraits::HasLog1p) { test::packet_helper h; data1[0] = Scalar(-2); data1[1] = -NumTraits::infinity(); h.store(data2, internal::plog1p(h.load(data1))); VERIFY((numext::isnan)(data2[0])); VERIFY((numext::isnan)(data2[1])); } // TODO(rmlarsen): Re-enable for half and bfloat16. if (PacketTraits::HasCos && !std::is_same::value && !std::is_same::value) { test::packet_helper h; for (Scalar k = Scalar(1); k < Scalar(10000) / NumTraits::epsilon(); k *= Scalar(2)) { for (int k1 = 0; k1 <= 1; ++k1) { data1[0] = Scalar((2 * double(k) + k1) * double(EIGEN_PI) / 2 * internal::random(0.8, 1.2)); data1[1] = Scalar((2 * double(k) + 2 + k1) * double(EIGEN_PI) / 2 * internal::random(0.8, 1.2)); h.store(data2, internal::pcos(h.load(data1))); h.store(data2 + PacketSize, internal::psin(h.load(data1))); VERIFY(data2[0] <= Scalar(1.) && data2[0] >= Scalar(-1.)); VERIFY(data2[1] <= Scalar(1.) && data2[1] >= Scalar(-1.)); VERIFY(data2[PacketSize + 0] <= Scalar(1.) && data2[PacketSize + 0] >= Scalar(-1.)); VERIFY(data2[PacketSize + 1] <= Scalar(1.) && data2[PacketSize + 1] >= Scalar(-1.)); VERIFY_IS_APPROX(data2[0], std::cos(data1[0])); VERIFY_IS_APPROX(data2[1], std::cos(data1[1])); VERIFY_IS_APPROX(data2[PacketSize + 0], std::sin(data1[0])); VERIFY_IS_APPROX(data2[PacketSize + 1], std::sin(data1[1])); VERIFY_IS_APPROX(numext::abs2(data2[0]) + numext::abs2(data2[PacketSize + 0]), Scalar(1)); VERIFY_IS_APPROX(numext::abs2(data2[1]) + numext::abs2(data2[PacketSize + 1]), Scalar(1)); } } data1[0] = NumTraits::infinity(); data1[1] = -NumTraits::infinity(); h.store(data2, internal::psin(h.load(data1))); VERIFY((numext::isnan)(data2[0])); VERIFY((numext::isnan)(data2[1])); h.store(data2, internal::pcos(h.load(data1))); VERIFY((numext::isnan)(data2[0])); VERIFY((numext::isnan)(data2[1])); data1[0] = NumTraits::quiet_NaN(); h.store(data2, internal::psin(h.load(data1))); VERIFY((numext::isnan)(data2[0])); h.store(data2, internal::pcos(h.load(data1))); VERIFY((numext::isnan)(data2[0])); data1[0] = -Scalar(0.); h.store(data2, internal::psin(h.load(data1))); VERIFY(test::biteq(data2[0], data1[0])); h.store(data2, internal::pcos(h.load(data1))); VERIFY_IS_EQUAL(data2[0], Scalar(1)); } } if (PacketTraits::HasReciprocal && PacketSize >= 2) { test::packet_helper h; const Scalar inf = NumTraits::infinity(); const Scalar zero = Scalar(0); data1[0] = zero; data1[1] = -zero; h.store(data2, internal::preciprocal(h.load(data1))); VERIFY_IS_EQUAL(data2[0], inf); VERIFY_IS_EQUAL(data2[1], -inf); data1[0] = inf; data1[1] = -inf; h.store(data2, internal::preciprocal(h.load(data1))); VERIFY_IS_EQUAL(data2[0], zero); VERIFY_IS_EQUAL(data2[1], -zero); } } template Scalar propagate_nan_max(const Scalar& a, const Scalar& b) { if ((numext::isnan)(a)) return a; if ((numext::isnan)(b)) return b; return (numext::maxi)(a, b); } template Scalar propagate_nan_min(const Scalar& a, const Scalar& b) { if ((numext::isnan)(a)) return a; if ((numext::isnan)(b)) return b; return (numext::mini)(a, b); } template Scalar propagate_number_max(const Scalar& a, const Scalar& b) { if ((numext::isnan)(a)) return b; if ((numext::isnan)(b)) return a; return (numext::maxi)(a, b); } template Scalar propagate_number_min(const Scalar& a, const Scalar& b) { if ((numext::isnan)(a)) return b; if ((numext::isnan)(b)) return a; return (numext::mini)(a, b); } // pmin/pmax may differ from plain pmin/pmax only where a NaN is involved: on two // ordered operands both must select the same one, down to the sign of a zero result. Signed // zeros are the only operands that compare equal while differing in their bits, and isApprox // cannot tell them apart, so compare the bits. Which operand a tie selects stays unspecified: // it varies with the backend and with the packet width wherever the hardware min/max resolves // a tie by sign rather than by position (issue #3116). template struct packetmath_minmax_propagation_test { static void run() {} }; template struct packetmath_minmax_propagation_test::IsInteger>> { using PacketTraits = internal::packet_traits; using Bits = std::make_unsigned_t::type>; static bool same_bits(const Scalar& a, const Scalar& b) { return numext::bit_cast(a) == numext::bit_cast(b); } // NaN payloads are not pinned down across backends, so a NaN result only has to stay a NaN. static void verify_semantics(const Scalar& a, const Scalar& b, const Scalar& plain, const Scalar& fast, const Scalar& nan, const Scalar& numbers) { const bool a_is_nan = (numext::isnan)(a), b_is_nan = (numext::isnan)(b); if (a_is_nan || b_is_nan) { VERIFY((numext::isnan)(nan)); if (a_is_nan && b_is_nan) { VERIFY((numext::isnan)(numbers)); } else { VERIFY(same_bits(numbers, a_is_nan ? b : a)); } } else { VERIFY(same_bits(nan, plain)); VERIFY(same_bits(fast, plain)); } } static void run() { constexpr int PacketSize = internal::unpacket_traits::size; const Scalar values[] = {Scalar(0), Scalar(-0.0), Scalar(1), Scalar(-1), NumTraits::infinity(), -NumTraits::infinity(), NumTraits::quiet_NaN()}; constexpr int kNumValues = int(sizeof(values) / sizeof(values[0])); EIGEN_ALIGN_TO_BOUNDARY(internal::unpacket_traits::alignment) Scalar lhs[PacketSize]; EIGEN_ALIGN_TO_BOUNDARY(internal::unpacket_traits::alignment) Scalar rhs[PacketSize]; EIGEN_ALIGN_TO_BOUNDARY(internal::unpacket_traits::alignment) Scalar plain[PacketSize]; EIGEN_ALIGN_TO_BOUNDARY(internal::unpacket_traits::alignment) Scalar fast[PacketSize]; EIGEN_ALIGN_TO_BOUNDARY(internal::unpacket_traits::alignment) Scalar nan[PacketSize]; EIGEN_ALIGN_TO_BOUNDARY(internal::unpacket_traits::alignment) Scalar numbers[PacketSize]; // Without HasMin/HasMax the helper degrades to the scalar op and writes only one element. constexpr int kMinLanes = PacketTraits::HasMin ? PacketSize : 1; constexpr int kMaxLanes = PacketTraits::HasMax ? PacketSize : 1; test::packet_helper hmin; test::packet_helper hmax; for (int i = 0; i < kNumValues; ++i) { const Scalar& a = values[i]; for (int j = 0; j < kNumValues; ++j) { const Scalar& b = values[j]; verify_semantics(a, b, internal::pmin(a, b), internal::pmin(a, b), internal::pmin(a, b), internal::pmin(a, b)); verify_semantics(a, b, internal::pmax(a, b), internal::pmax(a, b), internal::pmax(a, b), internal::pmax(a, b)); for (int k = 0; k < PacketSize; ++k) { lhs[k] = a; rhs[k] = b; } hmin.store(plain, internal::pmin(hmin.load(lhs), hmin.load(rhs))); hmin.store(fast, internal::pmin(hmin.load(lhs), hmin.load(rhs))); hmin.store(nan, internal::pmin(hmin.load(lhs), hmin.load(rhs))); hmin.store(numbers, internal::pmin(hmin.load(lhs), hmin.load(rhs))); for (int k = 0; k < kMinLanes; ++k) verify_semantics(a, b, plain[k], fast[k], nan[k], numbers[k]); hmax.store(plain, internal::pmax(hmax.load(lhs), hmax.load(rhs))); hmax.store(fast, internal::pmax(hmax.load(lhs), hmax.load(rhs))); hmax.store(nan, internal::pmax(hmax.load(lhs), hmax.load(rhs))); hmax.store(numbers, internal::pmax(hmax.load(lhs), hmax.load(rhs))); for (int k = 0; k < kMaxLanes; ++k) verify_semantics(a, b, plain[k], fast[k], nan[k], numbers[k]); } } } }; template std::enable_if_t run_ieee_cases(const FunctorT&) {} template std::enable_if_t run_ieee_cases(const FunctorT& fun) { const int PacketSize = internal::unpacket_traits::size; const Scalar norm_min = (std::numeric_limits::min)(); const Scalar norm_max = (std::numeric_limits::max)(); const Scalar inf = (std::numeric_limits::infinity)(); const Scalar nan = (std::numeric_limits::quiet_NaN)(); std::vector values{Scalar(0), Scalar(1), norm_max, inf, nan}; // On ARM, NEON flush-to-zero mode can flush intermediate subnormal results to zero, // causing functions like sin(norm_min) to return 0 instead of norm_min. Skip norm_min // in that case, along with truly subnormal values. if (!SkipDenorms) { values.push_back(norm_min); if (std::numeric_limits::has_denorm == std::denorm_present) { values.push_back(std::numeric_limits::denorm_min()); values.push_back(norm_min / Scalar(2)); } } constexpr int size = PacketSize * 2; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[size]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar ref[size]; for (int i = 0; i < size; ++i) { data1[i] = data2[i] = ref[i] = Scalar(0); } for (Scalar abs_value : values) { data1[0] = abs_value; data1[1] = -data1[0]; g_test_stack.push_back("IEEE cases: " + fun.name); CHECK_CWISE1_IF(Cond, fun.expected, fun.actual); g_test_stack.pop_back(); } } // Create a tester struct with the actual and the reference function // as templated member functions. #define CREATE_TESTER(NAME, ACTUAL, EXPECTED) \ struct NAME { \ template \ T actual(const T& val) const { \ return ACTUAL(val); \ } \ template \ T expected(const T& val) const { \ return EXPECTED(val); \ } \ const std::string name = #NAME; \ } CREATE_TESTER(sqrt_fun, internal::psqrt, numext::sqrt); CREATE_TESTER(rsqrt_fun, internal::prsqrt, numext::rsqrt); CREATE_TESTER(cbrt_fun, internal::pcbrt, numext::cbrt); CREATE_TESTER(exp_fun, internal::pexp, numext::exp); CREATE_TESTER(exp2_fun, internal::pexp2, numext::exp2); CREATE_TESTER(log_fun, internal::plog, numext::log); CREATE_TESTER(log2_fun, internal::plog2, numext::log2); CREATE_TESTER(expm1_fun, internal::pexpm1, numext::expm1); CREATE_TESTER(log1p_fun, internal::plog1p, numext::log1p); CREATE_TESTER(sin_fun, internal::psin, numext::sin); CREATE_TESTER(cos_fun, internal::pcos, numext::cos); CREATE_TESTER(tan_fun, internal::ptan, numext::tan); CREATE_TESTER(asin_fun, internal::pasin, numext::asin); CREATE_TESTER(acos_fun, internal::pacos, numext::acos); CREATE_TESTER(atan_fun, internal::patan, numext::atan); CREATE_TESTER(tanh_fun, internal::ptanh, numext::tanh); CREATE_TESTER(atanh_fun, internal::patanh, numext::atanh); template std::enable_if_t::IsComplex, void> packetmath_ieee_special_values() {} template std::enable_if_t::IsComplex, void> packetmath_ieee_special_values() { typedef internal::packet_traits PacketTraits; run_ieee_cases(sqrt_fun()); // TODO(rmlarsen): See if we can fix rsqrt for denorms without wreaking performance. run_ieee_cases(rsqrt_fun()); run_ieee_cases(cbrt_fun()); run_ieee_cases(exp_fun()); run_ieee_cases(exp2_fun()); run_ieee_cases(log_fun()); run_ieee_cases(log2_fun()); run_ieee_cases(expm1_fun()); run_ieee_cases(log1p_fun()); run_ieee_cases(sin_fun()); run_ieee_cases(cos_fun()); run_ieee_cases(tan_fun()); run_ieee_cases(asin_fun()); run_ieee_cases(acos_fun()); run_ieee_cases(atan_fun()); run_ieee_cases(tanh_fun()); run_ieee_cases(atanh_fun()); } template void packetmath_redux_infinities() { const Scalar infinity = NumTraits::infinity(); const Packet positive_infinity = internal::pset1(infinity); VERIFY_IS_EQUAL(internal::predux_min(positive_infinity), infinity); VERIFY_IS_EQUAL(internal::predux_max(positive_infinity), infinity); const Packet negative_infinity = internal::pset1(-infinity); VERIFY_IS_EQUAL(internal::predux_min(negative_infinity), -infinity); VERIFY_IS_EQUAL(internal::predux_max(negative_infinity), -infinity); } template void packetmath_notcomplex() { packetmath_ieee_special_values(); typedef internal::packet_traits PacketTraits; const int PacketSize = internal::unpacket_traits::size; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[PacketSize * 4]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[PacketSize * 4]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar ref[PacketSize * 4]; Array::Map(data1, PacketSize * 4).setRandom(); VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasMin); VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasMax); CHECK_CWISE2_IF(PacketTraits::HasMin, (std::min), internal::pmin); CHECK_CWISE2_IF(PacketTraits::HasMax, (std::max), internal::pmax); CHECK_CWISE2_IF(PacketTraits::HasMin, propagate_number_min, internal::pmin); CHECK_CWISE2_IF(PacketTraits::HasMax, propagate_number_max, internal::pmax); CHECK_CWISE1(numext::abs, internal::pabs); // Vectorized versions may give a different result in the case of signed int overflow, // which is undefined behavior (e.g. NEON). // Also note that unsigned integers with size < sizeof(int) may be implicitly converted to a signed // int, which can also trigger UB. if (Eigen::NumTraits::IsInteger) { for (int i = 0; i < 2 * PacketSize; ++i) { data1[i] = data1[i] / Scalar(2); } } CHECK_CWISE2_IF(PacketTraits::HasAbsDiff, REF_ABS_DIFF, internal::pabsdiff); ref[0] = data1[0]; for (int i = 0; i < PacketSize; ++i) ref[0] = internal::pmin(ref[0], data1[i]); VERIFY(internal::isApprox(ref[0], internal::predux_min(internal::pload(data1))) && "internal::predux_min"); ref[0] = data1[0]; for (int i = 0; i < PacketSize; ++i) ref[0] = internal::pmax(ref[0], data1[i]); VERIFY(internal::isApprox(ref[0], internal::predux_max(internal::pload(data1))) && "internal::predux_max"); for (int i = 0; i < PacketSize; ++i) ref[i] = data1[0] + Scalar(i); internal::pstore(data2, internal::plset(data1[0])); VERIFY(test::areApprox(ref, data2, PacketSize) && "internal::plset"); { unsigned char* data1_bits = reinterpret_cast(data1); // predux_all - not needed yet // for (unsigned int i=0; i(data1)) && "internal::predux_all(1111)"); // for(int k=0; k(data1))) && "internal::predux_all(0101)"); // for (unsigned int i=0; i(data1))) && "internal::predux_any(0000)"); for (int k = 0; k < PacketSize; ++k) { for (unsigned int i = 0; i < sizeof(Scalar); ++i) data1_bits[k * sizeof(Scalar) + i] = 0xff; VERIFY(internal::predux_any(internal::pload(data1)) && "internal::predux_any(0101)"); for (unsigned int i = 0; i < sizeof(Scalar); ++i) data1_bits[k * sizeof(Scalar) + i] = 0x00; } } // Test NaN propagation. if (!NumTraits::IsInteger) { packetmath_minmax_propagation_test::run(); // Test reductions with no NaNs. ref[0] = data1[0]; for (int i = 0; i < PacketSize; ++i) ref[0] = internal::pmin(ref[0], data1[i]); VERIFY(internal::isApprox(ref[0], internal::predux_min(internal::pload(data1))) && "internal::predux_min"); ref[0] = data1[0]; for (int i = 0; i < PacketSize; ++i) ref[0] = internal::pmin(ref[0], data1[i]); VERIFY(internal::isApprox(ref[0], internal::predux_min(internal::pload(data1))) && "internal::predux_min"); ref[0] = data1[0]; for (int i = 0; i < PacketSize; ++i) ref[0] = internal::pmax(ref[0], data1[i]); VERIFY(internal::isApprox(ref[0], internal::predux_max(internal::pload(data1))) && "internal::predux_max"); ref[0] = data1[0]; for (int i = 0; i < PacketSize; ++i) ref[0] = internal::pmax(ref[0], data1[i]); VERIFY(internal::isApprox(ref[0], internal::predux_max(internal::pload(data1))) && "internal::predux_max"); // A single NaN. const size_t index = std::numeric_limits::quiet_NaN() % PacketSize; data1[index] = NumTraits::quiet_NaN(); VERIFY(PacketSize == 1 || !(numext::isnan)(internal::predux_min(internal::pload(data1)))); VERIFY((numext::isnan)(internal::predux_min(internal::pload(data1)))); VERIFY(PacketSize == 1 || !(numext::isnan)(internal::predux_max(internal::pload(data1)))); VERIFY((numext::isnan)(internal::predux_max(internal::pload(data1)))); // All NaNs. for (int i = 0; i < 4 * PacketSize; ++i) data1[i] = NumTraits::quiet_NaN(); VERIFY((numext::isnan)(internal::predux_min(internal::pload(data1)))); VERIFY((numext::isnan)(internal::predux_min(internal::pload(data1)))); VERIFY((numext::isnan)(internal::predux_max(internal::pload(data1)))); VERIFY((numext::isnan)(internal::predux_max(internal::pload(data1)))); // Test NaN propagation for coefficient-wise min and max. for (int i = 0; i < PacketSize; ++i) { data1[i] = internal::random() ? NumTraits::quiet_NaN() : Scalar(0); data1[i + PacketSize] = internal::random() ? NumTraits::quiet_NaN() : Scalar(0); } // Note: NaN propagation is implementation defined for pmin/pmax, so we do not test it here. CHECK_CWISE2_IF(PacketTraits::HasMin, propagate_number_min, (internal::pmin)); CHECK_CWISE2_IF(PacketTraits::HasMax, propagate_number_max, internal::pmax); CHECK_CWISE2_IF(PacketTraits::HasMin, propagate_nan_min, (internal::pmin)); CHECK_CWISE2_IF(PacketTraits::HasMax, propagate_nan_max, internal::pmax); } packetmath_boolean_mask_ops_notcomplex_test::run(); packetmath_split_half_compare_test::run(); } template void test_conj_helper(Scalar* data1, Scalar* data2, Scalar* ref, Scalar* pval) { const int PacketSize = internal::unpacket_traits::size; internal::conj_if cj0; internal::conj_if cj1; internal::conj_helper cj; internal::conj_helper pcj; for (int i = 0; i < PacketSize; ++i) { ref[i] = cj0(data1[i]) * cj1(data2[i]); VERIFY(internal::isApprox(ref[i], cj.pmul(data1[i], data2[i])) && "conj_helper pmul"); } internal::pstore(pval, pcj.pmul(internal::pload(data1), internal::pload(data2))); VERIFY(test::areApprox(ref, pval, PacketSize) && "conj_helper pmul"); for (int i = 0; i < PacketSize; ++i) { Scalar tmp = ref[i]; ref[i] += cj0(data1[i]) * cj1(data2[i]); VERIFY(internal::isApprox(ref[i], cj.pmadd(data1[i], data2[i], tmp)) && "conj_helper pmadd"); } internal::pstore( pval, pcj.pmadd(internal::pload(data1), internal::pload(data2), internal::pload(pval))); VERIFY(test::areApprox(ref, pval, PacketSize) && "conj_helper pmadd"); } template ::HasExp> struct exp_complex_test_impl { typedef typename Scalar::value_type RealScalar; static Scalar pexp1(const Scalar& x) { Packet px = internal::pset1(x); Packet py = internal::pexp(px); return internal::pfirst(py); } static Scalar cis(const RealScalar& x) { return Scalar(numext::cos(x), numext::sin(x)); } // Verify equality with signed zero. static bool is_exactly_equal(RealScalar a, RealScalar b) { // NaNs are always unsigned, and always compare not equal directly. if ((numext::isnan)(a)) { return (numext::isnan)(b); } RealScalar zero(0); #ifdef EIGEN_ARCH_ARM // ARM automatically flushes denormals to zero. // Preserve sign by multiplying by +0. if (numext::abs(a) < (std::numeric_limits::min)()) { a = a * zero; } if (numext::abs(b) < (std::numeric_limits::min)()) { b = b * zero; } #endif // Signed zero. if (a == zero) { // Signs are either 0 or NaN, so verify that their comparisons to zero are equal. return (a == b) && ((numext::signbit(a) == zero) == (numext::signbit(b) == zero)); } // Allow _some_ tolerance. return verifyIsApprox(a, b); } // Verify equality with signed zero. static bool is_exactly_equal(const Scalar& a, const Scalar& b, bool quiet = false) { bool result = is_exactly_equal(numext::real_ref(a), numext::real_ref(b)) && is_exactly_equal(numext::imag_ref(a), numext::imag_ref(b)); if (!result && !quiet) { std::cout << a << " != " << b << std::endl; } return result; } static bool is_sign_exp_unspecified(const Scalar& z) { const RealScalar inf = std::numeric_limits::infinity(); // If z is (-∞,±∞), the result is (±0,±0) (signs are unspecified) if (numext::real_ref(z) == -inf && (numext::isinf)(numext::imag_ref(z))) { return true; } // If z is (+∞,±∞), the result is (±∞,NaN) and FE_INVALID is raised (the sign of the real part is unspecified) if (numext::real_ref(z) == +inf && (numext::isinf)(numext::imag_ref(z))) { return true; } // If z is (-∞,NaN), the result is (±0,±0) (signs are unspecified) if (numext::real_ref(z) == -inf && (numext::isnan)(numext::imag_ref(z))) { return true; } // If z is (+∞,NaN), the result is (±∞,NaN) (the sign of the real part is unspecified) if (numext::real_ref(z) == +inf && (numext::isnan)(numext::imag_ref(z))) { return true; } // If exp(x) overflows to inf and y is finite nonzero, the result involves inf * cos(y) and // inf * sin(y). When cos(y) or sin(y) is near a zero crossing (e.g., cos(pi/2)), different // trig implementations may produce different signs, so the signs of the result are unspecified. if (!(numext::isinf)(numext::imag_ref(z)) && !(numext::isnan)(numext::imag_ref(z)) && numext::imag_ref(z) != 0 && (numext::isinf)(std::exp(numext::real_ref(z)))) { return true; } return false; } static void run(Scalar* data1, Scalar* data2, Scalar* ref, int size) { const int PacketSize = internal::unpacket_traits::size; for (int i = 0; i < size; ++i) { data1[i] = Scalar(internal::random(), internal::random()); } CHECK_CWISE1_N(std::exp, internal::pexp, size); // Test all corner cases (and more). const RealScalar edges[] = {RealScalar(0), RealScalar(1), RealScalar(2), RealScalar(EIGEN_PI / 2), RealScalar(EIGEN_PI), RealScalar(3 * EIGEN_PI / 2), RealScalar(2 * EIGEN_PI), numext::log(NumTraits::highest()) - 1, NumTraits::highest(), std::numeric_limits::infinity(), std::numeric_limits::quiet_NaN(), -RealScalar(0), -RealScalar(1), -RealScalar(2), -RealScalar(EIGEN_PI / 2), -RealScalar(EIGEN_PI), -RealScalar(3 * EIGEN_PI / 2), -RealScalar(2 * EIGEN_PI), -numext::log(NumTraits::highest()) + 1, -NumTraits::highest(), -std::numeric_limits::infinity(), -std::numeric_limits::quiet_NaN()}; for (RealScalar x : edges) { for (RealScalar y : edges) { Scalar z = Scalar(x, y); Scalar w = pexp1(z); if (is_sign_exp_unspecified(z)) { Scalar abs_w = Scalar(numext::abs(numext::real_ref(w)), numext::abs(numext::imag_ref(w))); Scalar expected = numext::exp(z); Scalar abs_expected = Scalar(numext::abs(numext::real_ref(expected)), numext::abs(numext::imag_ref(expected))); VERIFY(is_exactly_equal(abs_w, abs_expected)); } else { Scalar expected = numext::exp(z); // First try exact equality (handles NaN, signed zeros correctly). // Fall back to approximate comparison to allow for small differences // in trig functions near zero crossings (e.g., vectorized sincos may // compute cos(pi/2) = 0 while scalar std::exp gives ~6.12e-17). VERIFY(is_exactly_equal(w, expected, /*quiet=*/true) || verifyIsApprox(w, expected)); } } } } }; template struct exp_complex_test_impl { typedef typename Scalar::value_type RealScalar; static void run(Scalar*, Scalar*, Scalar*, int){}; }; template void exp_complex_test(Scalar* data1, Scalar* data2, Scalar* ref, int size) { exp_complex_test_impl::run(data1, data2, ref, size); } template void packetmath_complex() { typedef internal::packet_traits PacketTraits; typedef typename Scalar::value_type RealScalar; const int PacketSize = internal::unpacket_traits::size; const int size = PacketSize * 4; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[PacketSize * 4]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data2[PacketSize * 4]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar ref[PacketSize * 4]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar pval[PacketSize * 4]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) RealScalar realdata[PacketSize * 4]; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) RealScalar realref[PacketSize * 4]; for (int i = 0; i < size; ++i) { data1[i] = internal::random() * Scalar(1e2); data2[i] = internal::random() * Scalar(1e2); } test_conj_helper(data1, data2, ref, pval); test_conj_helper(data1, data2, ref, pval); test_conj_helper(data1, data2, ref, pval); test_conj_helper(data1, data2, ref, pval); // Test pcplxflip. { for (int i = 0; i < PacketSize; ++i) ref[i] = Scalar(std::imag(data1[i]), std::real(data1[i])); internal::pstore(pval, internal::pcplxflip(internal::pload(data1))); VERIFY(test::areApprox(ref, pval, PacketSize) && "pcplxflip"); } const RealScalar zero = RealScalar(0); const RealScalar one = RealScalar(1); const RealScalar inf = std::numeric_limits::infinity(); const RealScalar nan = std::numeric_limits::quiet_NaN(); // Test division by a denominator with equal real and imaginary magnitudes // to ensure pdiv scaling avoids division by zero (e.g. 1.0 - 1.0i). if (PacketTraits::HasDiv) { for (int i = 0; i < PacketSize; ++i) { data1[i] = Scalar(one, zero); RealScalar sign_re = (i & 1) ? -one : one; RealScalar sign_im = (i & 2) ? -one : one; data2[i] = Scalar(sign_re, sign_im); } internal::pstore(pval, internal::pdiv(internal::pload(data1), internal::pload(data2))); for (int i = 0; i < PacketSize; ++i) { Scalar expected = data1[i] / data2[i]; VERIFY_IS_APPROX(pval[i], expected); } } // Test pisnan. { const Scalar values[4] = {Scalar(one, one), Scalar(nan, zero), Scalar(zero, nan), Scalar(nan, nan)}; const bool expect_nan[4] = {false, true, true, true}; // The scalar instantiation must remain callable with plain std::complex arguments. for (int i = 0; i < 4; ++i) { VERIFY(numext::is_exactly_zero(internal::pisnan(values[i])) == !expect_nan[i] && "scalar pisnan"); } for (int i = 0; i < size; ++i) data1[i] = values[i % 4]; for (int j = 0; j < size; j += PacketSize) { internal::pstore(data2 + j, internal::pisnan(internal::pload(data1 + j))); } for (int i = 0; i < size; ++i) { VERIFY(numext::is_exactly_zero(data2[i]) == !expect_nan[i % 4] && "pisnan"); } } // Multiplication and Division. { std::array special_values = {zero, one, inf, nan, -zero, -one, -inf, -nan}; for (RealScalar a : special_values) { for (RealScalar b : special_values) { for (RealScalar c : special_values) { for (RealScalar d : special_values) { data1[0] = Scalar(a, b); data2[0] = Scalar(c, d); CHECK_CWISE2_IF(PacketTraits::HasMul, internal::complex_multiply, internal::pmul); CHECK_CWISE2_IF(PacketTraits::HasDiv, internal::complex_divide, internal::pdiv); } } } } } if (PacketTraits::HasSqrt) { for (int i = 0; i < size; ++i) { data1[i] = Scalar(internal::random(), internal::random()); } CHECK_CWISE1_N(numext::sqrt, internal::psqrt, size); CHECK_CWISE1_IF(PacketTraits::HasSign, numext::sign, internal::psign); // Test misc. corner cases. data1[0] = Scalar(zero, zero); data1[1] = Scalar(-zero, zero); data1[2] = Scalar(one, zero); data1[3] = Scalar(zero, one); CHECK_CWISE1_N(numext::sqrt, internal::psqrt, 4); data1[0] = Scalar(-one, zero); data1[1] = Scalar(zero, -one); data1[2] = Scalar(one, one); data1[3] = Scalar(-one, -one); CHECK_CWISE1_N(numext::sqrt, internal::psqrt, 4); data1[0] = Scalar(inf, zero); data1[1] = Scalar(zero, inf); data1[2] = Scalar(-inf, zero); data1[3] = Scalar(zero, -inf); CHECK_CWISE1_N(numext::sqrt, internal::psqrt, 4); data1[0] = Scalar(inf, inf); data1[1] = Scalar(-inf, inf); data1[2] = Scalar(inf, -inf); data1[3] = Scalar(-inf, -inf); CHECK_CWISE1_N(numext::sqrt, internal::psqrt, 4); data1[0] = Scalar(nan, zero); data1[1] = Scalar(zero, nan); data1[2] = Scalar(nan, one); data1[3] = Scalar(one, nan); CHECK_CWISE1_N(numext::sqrt, internal::psqrt, 4); data1[0] = Scalar(nan, nan); data1[1] = Scalar(inf, nan); data1[2] = Scalar(nan, inf); data1[3] = Scalar(-inf, nan); CHECK_CWISE1_N(numext::sqrt, internal::psqrt, 4); } if (PacketTraits::HasLog) { for (int i = 0; i < size; ++i) { data1[i] = Scalar(internal::random(), internal::random()); } CHECK_CWISE1_N(std::log, internal::plog, size); // Test misc. corner cases. for (RealScalar x : {zero, one, inf}) { for (RealScalar y : {zero, one, inf}) { data1[0] = Scalar(x, y); data1[1] = Scalar(-x, y); data1[2] = Scalar(x, -y); data1[3] = Scalar(-x, -y); CHECK_CWISE1_IM1ULP_N(std::log, internal::plog, 4); } } // Set reference results to nan. // Some architectures don't handle IEEE edge cases correctly ref[0] = Scalar(nan, nan); ref[1] = Scalar(nan, nan); ref[2] = Scalar(nan, nan); ref[3] = Scalar(nan, nan); for (RealScalar x : {zero, one}) { data1[0] = Scalar(x, nan); data1[1] = Scalar(-x, nan); data1[2] = Scalar(nan, x); data1[3] = Scalar(nan, -x); for (int j = 0; j < size; j += PacketSize) internal::pstore(data2 + j, internal::plog(internal::pload(data1 + j))); VERIFY(test::areApprox(ref, data2, 4)); } data1[0] = Scalar(inf, nan); data1[1] = Scalar(-inf, nan); data1[2] = Scalar(nan, inf); data1[3] = Scalar(nan, -inf); CHECK_CWISE1_IM1ULP_N(numext::log, internal::plog, 4); } exp_complex_test(data1, data2, ref, size); } template void packetmath_scatter_gather() { typedef typename NumTraits::Real RealScalar; const int PacketSize = internal::unpacket_traits::size; EIGEN_ALIGN_TO_BOUNDARY(unpacket_traits::alignment) Scalar data1[PacketSize]; RealScalar refvalue = RealScalar(0); for (int i = 0; i < PacketSize; ++i) { data1[i] = internal::random(); } int stride = internal::random(1, 20); // Buffer of zeros. EIGEN_ALIGN_MAX Scalar buffer[PacketSize * 20] = {}; Packet packet = internal::pload(data1); internal::pscatter(buffer, packet, stride); for (int i = 0; i < PacketSize * 20; ++i) { if ((i % stride) == 0 && i < stride * PacketSize) { VERIFY(test::isApproxAbs(buffer[i], data1[i / stride], refvalue) && "pscatter"); } else { VERIFY(test::isApproxAbs(buffer[i], Scalar(0), refvalue) && "pscatter"); } } for (int i = 0; i < PacketSize * 7; ++i) { buffer[i] = internal::random(); } packet = internal::pgather(buffer, 7); internal::pstore(data1, packet); for (int i = 0; i < PacketSize; ++i) { VERIFY(test::isApproxAbs(data1[i], buffer[i * 7], refvalue) && "pgather"); } for (Index N = 0; N <= PacketSize; ++N) { for (Index i = 0; i < N; ++i) { data1[i] = internal::random(); } for (Index i = 0; i < N * 20; ++i) { buffer[i] = Scalar(0); } packet = internal::pload_partial(data1, N); internal::pscatter_partial(buffer, packet, stride, N); for (Index i = 0; i < N * 20; ++i) { if ((i % stride) == 0 && i < stride * N) { VERIFY(test::isApproxAbs(buffer[i], data1[i / stride], refvalue) && "pscatter_partial"); } else { VERIFY(test::isApproxAbs(buffer[i], Scalar(0), refvalue) && "pscatter_partial"); } } for (Index i = 0; i < N * 7; ++i) { buffer[i] = internal::random(); } packet = internal::pgather_partial(buffer, 7, N); internal::pstore_partial(data1, packet, N); for (Index i = 0; i < N; ++i) { VERIFY(test::isApproxAbs(data1[i], buffer[i * 7], refvalue) && "pgather_partial"); } } } namespace Eigen { namespace test { template struct runall { // i.e. float or double static void run() { packetmath(); packetmath_scatter_gather(); packetmath_notcomplex(); packetmath_real(); } }; template struct runall { // i.e. int static void run() { packetmath(); packetmath_scatter_gather(); packetmath_notcomplex(); } }; template struct runall { // i.e. complex static void run() { packetmath(); packetmath_scatter_gather(); packetmath_complex(); } }; } // namespace test } // namespace Eigen EIGEN_DECLARE_TEST(packetmath) { g_first_pass = true; for (int i = 0; i < g_repeat; i++) { CALL_SUBTEST_1(test::runner::run()); CALL_SUBTEST_2(test::runner::run()); CALL_SUBTEST_3(test::runner::run()); CALL_SUBTEST_4(test::runner::run()); CALL_SUBTEST_5(test::runner::run()); CALL_SUBTEST_6(test::runner::run()); CALL_SUBTEST_7(test::runner::run()); CALL_SUBTEST_8(test::runner::run()); CALL_SUBTEST_9(test::runner::run()); CALL_SUBTEST_10(test::runner::run()); CALL_SUBTEST_11(test::runner>::run()); CALL_SUBTEST_12(test::runner>::run()); CALL_SUBTEST_13(test::runner::run()); CALL_SUBTEST_14((packetmath::type>())); CALL_SUBTEST_14((packetmath_scatter_gather::type>())); CALL_SUBTEST_15(test::runner::run()); g_first_pass = false; } #if defined(EIGEN_VECTORIZE_RVV10) CALL_SUBTEST_1((packetmath_redux_infinities())); CALL_SUBTEST_1((packetmath_redux_infinities())); CALL_SUBTEST_1((packetmath_redux_infinities())); CALL_SUBTEST_2((packetmath_redux_infinities())); CALL_SUBTEST_2((packetmath_redux_infinities())); CALL_SUBTEST_2((packetmath_redux_infinities())); #endif #if defined(EIGEN_VECTORIZE_RVV10FP16) CALL_SUBTEST_13((packetmath_redux_infinities())); CALL_SUBTEST_13((packetmath_redux_infinities())); #endif }