|  | // 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; | 
|  | } | 
|  | } |