| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr> |
| // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> |
| // |
| // 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/. |
| |
| #include <limits> |
| #include "packetmath_test_shared.h" |
| #include "../Eigen/SpecialFunctions" |
| |
| template <typename Scalar, typename Packet> |
| void packetmath_real() { |
| using std::abs; |
| typedef internal::packet_traits<Scalar> PacketTraits; |
| const int PacketSize = internal::unpacket_traits<Packet>::size; |
| |
| const int size = PacketSize * 4; |
| EIGEN_ALIGN_MAX Scalar data1[PacketSize * 4]; |
| EIGEN_ALIGN_MAX Scalar data2[PacketSize * 4]; |
| EIGEN_ALIGN_MAX Scalar ref[PacketSize * 4]; |
| |
| #if EIGEN_HAS_C99_MATH |
| { |
| data1[0] = std::numeric_limits<Scalar>::quiet_NaN(); |
| test::packet_helper<internal::packet_traits<Scalar>::HasLGamma, Packet> h; |
| h.store(data2, internal::plgamma(h.load(data1))); |
| VERIFY((numext::isnan)(data2[0])); |
| } |
| if (internal::packet_traits<Scalar>::HasErf) { |
| data1[0] = std::numeric_limits<Scalar>::quiet_NaN(); |
| test::packet_helper<internal::packet_traits<Scalar>::HasErf, Packet> h; |
| h.store(data2, internal::perf(h.load(data1))); |
| VERIFY((numext::isnan)(data2[0])); |
| } |
| { |
| data1[0] = std::numeric_limits<Scalar>::quiet_NaN(); |
| test::packet_helper<internal::packet_traits<Scalar>::HasErfc, Packet> h; |
| h.store(data2, internal::perfc(h.load(data1))); |
| VERIFY((numext::isnan)(data2[0])); |
| } |
| { |
| for (int i = 0; i < size; ++i) { |
| data1[i] = internal::random<Scalar>(Scalar(0), Scalar(1)); |
| } |
| CHECK_CWISE1_IF(internal::packet_traits<Scalar>::HasNdtri, numext::ndtri, internal::pndtri); |
| } |
| #endif // EIGEN_HAS_C99_MATH |
| |
| // For bessel_i*e and bessel_j*, the valid range is negative reals. |
| { |
| const int max_exponent = numext::mini(std::numeric_limits<Scalar>::max_exponent10 - 1, 6); |
| for (int i = 0; i < size; ++i) { |
| data1[i] = internal::random<Scalar>(Scalar(-1), Scalar(1)) * |
| Scalar(std::pow(Scalar(10), internal::random<Scalar>(Scalar(-max_exponent), Scalar(max_exponent)))); |
| data2[i] = internal::random<Scalar>(Scalar(-1), Scalar(1)) * |
| Scalar(std::pow(Scalar(10), internal::random<Scalar>(Scalar(-max_exponent), Scalar(max_exponent)))); |
| } |
| |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_i0e, internal::pbessel_i0e); |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_i1e, internal::pbessel_i1e); |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_j0, internal::pbessel_j0); |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_j1, internal::pbessel_j1); |
| } |
| |
| // Use a smaller data range for the bessel_i* as these can become very large. |
| // Following #1693, we also restrict this range further to avoid inf's due to |
| // differences in pexp and exp. |
| for (int i = 0; i < size; ++i) { |
| data1[i] = internal::random<Scalar>(Scalar(0.01), Scalar(1)) * |
| Scalar(std::pow(Scalar(9), internal::random<Scalar>(Scalar(-1), Scalar(2)))); |
| data2[i] = internal::random<Scalar>(Scalar(0.01), Scalar(1)) * |
| Scalar(std::pow(Scalar(9), internal::random<Scalar>(Scalar(-1), Scalar(2)))); |
| } |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_i0, internal::pbessel_i0); |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_i1, internal::pbessel_i1); |
| |
| // y_i, and k_i are valid for x > 0. |
| { |
| const int max_exponent = numext::mini(std::numeric_limits<Scalar>::max_exponent10 - 1, 5); |
| for (int i = 0; i < size; ++i) { |
| data1[i] = internal::random<Scalar>(Scalar(0.01), Scalar(1)) * |
| Scalar(std::pow(Scalar(10), internal::random<Scalar>(Scalar(-2), Scalar(max_exponent)))); |
| data2[i] = internal::random<Scalar>(Scalar(0.01), Scalar(1)) * |
| Scalar(std::pow(Scalar(10), internal::random<Scalar>(Scalar(-2), Scalar(max_exponent)))); |
| } |
| } |
| |
| // TODO(srvasude): Re-enable this test once properly investigated why the |
| // scalar and vector paths differ. |
| // CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_y0, internal::pbessel_y0); |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_y1, internal::pbessel_y1); |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_k0e, internal::pbessel_k0e); |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_k1e, internal::pbessel_k1e); |
| |
| // Following #1693, we restrict the range for exp to avoid zeroing out too |
| // fast. |
| for (int i = 0; i < size; ++i) { |
| data1[i] = internal::random<Scalar>(Scalar(0.01), Scalar(1)) * |
| Scalar(std::pow(Scalar(9), internal::random<Scalar>(Scalar(-1), Scalar(2)))); |
| data2[i] = internal::random<Scalar>(Scalar(0.01), Scalar(1)) * |
| Scalar(std::pow(Scalar(9), internal::random<Scalar>(Scalar(-1), Scalar(2)))); |
| } |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_k0, internal::pbessel_k0); |
| CHECK_CWISE1_IF(PacketTraits::HasBessel, numext::bessel_k1, internal::pbessel_k1); |
| |
| for (int i = 0; i < size; ++i) { |
| data1[i] = internal::random<Scalar>(Scalar(0.01), Scalar(1)) * |
| Scalar(std::pow(Scalar(10), internal::random<Scalar>(Scalar(-1), Scalar(2)))); |
| data2[i] = internal::random<Scalar>(Scalar(0.01), Scalar(1)) * |
| Scalar(std::pow(Scalar(10), internal::random<Scalar>(Scalar(-1), Scalar(2)))); |
| } |
| |
| #if EIGEN_HAS_C99_MATH |
| CHECK_CWISE1_IF(internal::packet_traits<Scalar>::HasLGamma, std::lgamma, internal::plgamma); |
| CHECK_CWISE1_IF(internal::packet_traits<Scalar>::HasErf, std::erf, internal::perf); |
| CHECK_CWISE1_IF(internal::packet_traits<Scalar>::HasErfc, std::erfc, internal::perfc); |
| #endif |
| } |
| |
| namespace Eigen { |
| namespace test { |
| |
| template <typename Scalar, typename PacketType, bool IsComplex, bool IsInteger> |
| struct runall { |
| static void run() { packetmath_real<Scalar, PacketType>(); } |
| }; |
| |
| } // namespace test |
| } // namespace Eigen |
| |
| EIGEN_DECLARE_TEST(special_packetmath) { |
| g_first_pass = true; |
| for (int i = 0; i < g_repeat; i++) { |
| CALL_SUBTEST_1(test::runner<float>::run()); |
| CALL_SUBTEST_2(test::runner<double>::run()); |
| CALL_SUBTEST_3(test::runner<Eigen::half>::run()); |
| CALL_SUBTEST_4(test::runner<Eigen::bfloat16>::run()); |
| g_first_pass = false; |
| } |
| } |