| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2013 Gael Guennebaud <gael.guennebaud@inria.fr> | |
| // | |
| // 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 "main.h" | |
| template <typename Scalar> | |
| void special_numbers() { | |
| typedef Matrix<Scalar, Dynamic, Dynamic> MatType; | |
| int rows = internal::random<int>(1, 300); | |
| int cols = internal::random<int>(1, 300); | |
| Scalar nan = std::numeric_limits<Scalar>::quiet_NaN(); | |
| Scalar inf = std::numeric_limits<Scalar>::infinity(); | |
| Scalar s1 = internal::random<Scalar>(); | |
| MatType m1 = MatType::Random(rows, cols), mnan = MatType::Random(rows, cols), minf = MatType::Random(rows, cols), | |
| mboth = MatType::Random(rows, cols); | |
| int n = internal::random<int>(1, 10); | |
| for (int k = 0; k < n; ++k) { | |
| mnan(internal::random<int>(0, rows - 1), internal::random<int>(0, cols - 1)) = nan; | |
| minf(internal::random<int>(0, rows - 1), internal::random<int>(0, cols - 1)) = inf; | |
| } | |
| mboth = mnan + minf; | |
| VERIFY(!m1.hasNaN()); | |
| VERIFY(m1.allFinite()); | |
| VERIFY(mnan.hasNaN()); | |
| VERIFY((s1 * mnan).hasNaN()); | |
| VERIFY(!minf.hasNaN()); | |
| VERIFY(!(2 * minf).hasNaN()); | |
| VERIFY(mboth.hasNaN()); | |
| VERIFY(mboth.array().hasNaN()); | |
| VERIFY(!mnan.allFinite()); | |
| VERIFY(!minf.allFinite()); | |
| VERIFY(!(minf - mboth).allFinite()); | |
| VERIFY(!mboth.allFinite()); | |
| VERIFY(!mboth.array().allFinite()); | |
| } | |
| // allFinite() over every position of a single non-finite coefficient, so the first packet, interior packets and the | |
| // scalar tail are all reached, plus finite edge values that must not register. | |
| template <typename Scalar> | |
| void all_finite_positions() { | |
| using RealScalar = typename NumTraits<Scalar>::Real; | |
| using Vec = Matrix<Scalar, Dynamic, 1>; | |
| RealScalar inf = std::numeric_limits<RealScalar>::infinity(); | |
| RealScalar nan = std::numeric_limits<RealScalar>::quiet_NaN(); | |
| RealScalar finite_edges[] = {RealScalar(0), | |
| -RealScalar(0), | |
| std::numeric_limits<RealScalar>::denorm_min(), | |
| -std::numeric_limits<RealScalar>::denorm_min(), | |
| NumTraits<RealScalar>::highest(), | |
| NumTraits<RealScalar>::lowest()}; | |
| RealScalar non_finite[] = {inf, -inf, nan}; | |
| for (Index size : {Index(1), Index(3), Index(7), Index(16), Index(37)}) { | |
| Vec v = Vec::Ones(size); | |
| for (Index i = 0; i < size; ++i) v(i) = Scalar(finite_edges[i % 6]); | |
| VERIFY(v.allFinite()); | |
| for (Index i = 0; i < size; ++i) { | |
| for (RealScalar x : non_finite) { | |
| Vec w = v; | |
| w(i) = Scalar(x); | |
| VERIFY(!w.allFinite()); | |
| VERIFY(!w.array().allFinite()); | |
| } | |
| } | |
| } | |
| // Row-major storage and an inner-strided map take the non-linear and strided visitor paths. | |
| Matrix<Scalar, 5, 7, RowMajor> m = Matrix<Scalar, 5, 7, RowMajor>::Ones(); | |
| VERIFY(m.allFinite()); | |
| m(4, 6) = Scalar(nan); | |
| VERIFY(!m.allFinite()); | |
| VERIFY((m.template topLeftCorner<4, 6>().allFinite())); | |
| Vec buffer = Vec::Ones(40); | |
| Map<Vec, 0, InnerStride<2>> strided(buffer.data(), 20); | |
| buffer(39) = Scalar(inf); | |
| VERIFY(strided.allFinite()); | |
| buffer(38) = Scalar(-inf); | |
| VERIFY(!strided.allFinite()); | |
| } | |
| template <typename Scalar> | |
| void all_finite_complex() { | |
| using RealScalar = typename NumTraits<Scalar>::Real; | |
| RealScalar inf = std::numeric_limits<RealScalar>::infinity(); | |
| RealScalar nan = std::numeric_limits<RealScalar>::quiet_NaN(); | |
| Matrix<Scalar, Dynamic, 1> v = Matrix<Scalar, Dynamic, 1>::Ones(9); | |
| VERIFY(v.allFinite()); | |
| for (Index i = 0; i < v.size(); ++i) { | |
| for (Scalar x : {Scalar(inf, 0), Scalar(0, -inf), Scalar(nan, 0), Scalar(0, nan)}) { | |
| Matrix<Scalar, Dynamic, 1> w = v; | |
| w(i) = x; | |
| VERIFY(!w.allFinite()); | |
| } | |
| } | |
| } | |
| EIGEN_DECLARE_TEST(special_numbers) { | |
| for (int i = 0; i < 10 * g_repeat; i++) { | |
| CALL_SUBTEST_1(special_numbers<float>()); | |
| CALL_SUBTEST_1(special_numbers<double>()); | |
| } | |
| CALL_SUBTEST_2(all_finite_positions<float>()); | |
| CALL_SUBTEST_2(all_finite_positions<double>()); | |
| CALL_SUBTEST_3(all_finite_positions<half>()); | |
| CALL_SUBTEST_3(all_finite_positions<bfloat16>()); | |
| CALL_SUBTEST_4(all_finite_complex<std::complex<float>>()); | |
| CALL_SUBTEST_4(all_finite_complex<std::complex<double>>()); | |
| CALL_SUBTEST_4(VERIFY((Matrix<int, Dynamic, 1>::Constant(17, (std::numeric_limits<int>::max)()).allFinite()))); | |
| } |