| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2010 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/. | |
| // SPDX-License-Identifier: MPL-2.0 | |
| #include "main.h" | |
| #undef VERIFY_IS_APPROX | |
| #define VERIFY_IS_APPROX(a, b) VERIFY((a) == (b)); | |
| #undef VERIFY_IS_NOT_APPROX | |
| #define VERIFY_IS_NOT_APPROX(a, b) VERIFY((a) != (b)); | |
| template <typename MatrixType> | |
| void signed_integer_type_tests(const MatrixType& m) { | |
| typedef typename MatrixType::Scalar Scalar; | |
| constexpr Scalar kMax = (Scalar(1) << ((8 * sizeof(Scalar) - 2) / 2)) - 1; | |
| enum { is_signed = (Scalar(-1) > Scalar(0)) ? 0 : 1 }; | |
| VERIFY(is_signed == 1); | |
| Index rows = m.rows(); | |
| Index cols = m.cols(); | |
| MatrixType m1 = RandomMatrix<MatrixType>(rows, cols, Scalar(0), kMax); | |
| MatrixType m2 = RandomMatrix<MatrixType>(rows, cols, Scalar(0), kMax); | |
| // check linear structure | |
| Scalar s1 = internal::random<Scalar>(1, kMax); | |
| VERIFY_IS_EQUAL(-(-m1), m1); | |
| VERIFY_IS_EQUAL(-m2 + m1 + m2, m1); | |
| VERIFY_IS_EQUAL((-m1 + m2) * s1, -s1 * m1 + s1 * m2); | |
| } | |
| template <typename MatrixType> | |
| void integer_type_tests(const MatrixType& m) { | |
| typedef typename MatrixType::Scalar Scalar; | |
| constexpr Scalar kMax = (Scalar(1) << ((8 * sizeof(Scalar) - 2) / 2)) - 1; | |
| VERIFY(NumTraits<Scalar>::IsInteger); | |
| enum { is_signed = (Scalar(-1) > Scalar(0)) ? 0 : 1 }; | |
| VERIFY(int(NumTraits<Scalar>::IsSigned) == is_signed); | |
| typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; | |
| typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType; | |
| Index rows = m.rows(); | |
| Index cols = m.cols(); | |
| MatrixType m1 = RandomMatrix<MatrixType>(rows, cols, Scalar(0), kMax); | |
| MatrixType m2 = RandomMatrix<MatrixType>(rows, cols, Scalar(0), kMax); | |
| MatrixType m3 = RandomMatrix<MatrixType>(rows, cols, Scalar(0), kMax); | |
| SquareMatrixType square = RandomMatrix<SquareMatrixType>(rows, rows, Scalar(0), kMax); | |
| VectorType v1 = RandomMatrix<VectorType, Scalar>(rows, Index(1), Scalar(0), NumTraits<Scalar>::highest() / Scalar(2)); | |
| // The checks below require m1 != 2 * m1, m1 != m2, and v1 != 2 * v1, which random draws do not | |
| // guarantee (in particular for 1x1 matrices); patch one entry to rule out the degenerate cases. | |
| if (m1 == MatrixType::Zero(rows, cols) || m1 == m2) m1(0, 0) = m2(0, 0) + Scalar(1); | |
| if (v1 == VectorType::Zero(rows)) v1(0) = Scalar(1); | |
| VERIFY_IS_APPROX(v1, v1); | |
| VERIFY_IS_NOT_APPROX(v1, 2 * v1); | |
| VERIFY_IS_APPROX(VectorType::Zero(rows), v1 - v1); | |
| VERIFY_IS_APPROX(m1, m1); | |
| VERIFY_IS_NOT_APPROX(m1, 2 * m1); | |
| VERIFY_IS_APPROX(MatrixType::Zero(rows, cols), m1 - m1); | |
| VERIFY_IS_APPROX(m3 = m1, m1); | |
| MatrixType m4; | |
| VERIFY_IS_APPROX(m4 = m1, m1); | |
| m3.real() = m1.real(); | |
| VERIFY_IS_APPROX(static_cast<const MatrixType&>(m3).real(), static_cast<const MatrixType&>(m1).real()); | |
| VERIFY_IS_APPROX(static_cast<const MatrixType&>(m3).real(), m1.real()); | |
| // check == / != operators | |
| VERIFY(m1 == m1); | |
| VERIFY(m1 != m2); | |
| VERIFY(!(m1 == m2)); | |
| VERIFY(!(m1 != m1)); | |
| m1 = m2; | |
| VERIFY(m1 == m2); | |
| VERIFY(!(m1 != m2)); | |
| // check linear structure | |
| Scalar s1 = internal::random<Scalar>(1, kMax); | |
| VERIFY_IS_EQUAL(m1 + m1, 2 * m1); | |
| VERIFY_IS_EQUAL(m1 + m2 - m1, m2); | |
| VERIFY_IS_EQUAL(m1 * s1, s1 * m1); | |
| VERIFY_IS_EQUAL((m1 + m2) * s1, s1 * m1 + s1 * m2); | |
| m3 = m2; | |
| m3 += m1; | |
| VERIFY_IS_EQUAL(m3, m1 + m2); | |
| m3 = m2; | |
| m3 -= m1; | |
| VERIFY_IS_EQUAL(m3, m2 - m1); | |
| m3 = m2; | |
| m3 *= s1; | |
| VERIFY_IS_EQUAL(m3, s1 * m2); | |
| // check matrix product. | |
| if (!NumTraits<Scalar>::IsSigned) { | |
| VERIFY_IS_APPROX(SquareMatrixType::Identity(rows, rows) * m1, m1); | |
| VERIFY_IS_APPROX(square * (m1 + m2), square * m1 + square * m2); | |
| VERIFY_IS_APPROX((m1 + m2).transpose() * square, m1.transpose() * square + m2.transpose() * square); | |
| VERIFY_IS_APPROX((m1 * m2.transpose()) * m1, m1 * (m2.transpose() * m1)); | |
| } | |
| } | |
| // Unsigned operands narrower than int are promoted to int before multiplication, so a product above | |
| // INT_MAX overflows the signed intermediate although the wrapped result, the exact product modulo | |
| // 2^(8*sizeof(Scalar)), is representable. A multiply that keeps the promoted signed type fails this | |
| // under UBSan by report rather than by comparison. | |
| template <typename Scalar> | |
| void unsigned_wraparound_tests() { | |
| using WideScalar = unsigned long long; | |
| using ArrayType = Array<Scalar, Dynamic, 1>; | |
| using MatrixType = Matrix<Scalar, Dynamic, Dynamic>; | |
| EIGEN_STATIC_ASSERT(sizeof(Scalar) < sizeof(WideScalar), THIS_TYPE_IS_NOT_SUPPORTED) | |
| const Scalar highest = NumTraits<Scalar>::highest(); | |
| const WideScalar modulus = WideScalar(highest) + 1; | |
| const Scalar values[] = {Scalar(0), Scalar(1), Scalar(highest / 2), Scalar(highest - 1), highest}; | |
| const Index numValues = Index(sizeof(values) / sizeof(values[0])); | |
| // Long enough to exercise whole packets as well as the scalar tail. | |
| const Index size = 8 * internal::packet_traits<Scalar>::size + 3; | |
| ArrayType a(size), b(size); | |
| for (Index i = 0; i < size; ++i) { | |
| a(i) = values[i % numValues]; | |
| b(i) = values[(size - i) % numValues]; | |
| } | |
| const ArrayType product = a * b; | |
| const ArrayType square = a.square(); | |
| const ArrayType cube = a.cube(); | |
| const ArrayType abs2 = a.abs2(); | |
| const ArrayType pow2 = a.pow(Scalar(2)); | |
| const ArrayType pow3 = a.pow(Scalar(3)); | |
| for (Index i = 0; i < size; ++i) { | |
| const WideScalar x = a(i), y = b(i); | |
| const WideScalar x2 = x * x % modulus; | |
| const WideScalar x3 = x2 * x % modulus; | |
| VERIFY_IS_EQUAL(product(i), Scalar(x * y % modulus)); | |
| VERIFY_IS_EQUAL(square(i), Scalar(x2)); | |
| VERIFY_IS_EQUAL(cube(i), Scalar(x3)); | |
| VERIFY_IS_EQUAL(abs2(i), Scalar(x2)); | |
| VERIFY_IS_EQUAL(pow2(i), Scalar(x2)); | |
| VERIFY_IS_EQUAL(pow3(i), Scalar(x3)); | |
| VERIFY_IS_EQUAL(numext::abs2(a(i)), Scalar(x2)); | |
| VERIFY_IS_EQUAL(numext::pow(a(i), Scalar(2)), Scalar(x2)); | |
| VERIFY_IS_EQUAL(internal::pmul(a(i), b(i)), Scalar(x * y % modulus)); | |
| } | |
| // predux_mul reduces through the same multiply; keep every factor away from zero. | |
| const Index reduxSize = 3 * internal::packet_traits<Scalar>::size + 1; | |
| ArrayType c(reduxSize); | |
| WideScalar expectedProd = 1; | |
| for (Index i = 0; i < reduxSize; ++i) { | |
| c(i) = Scalar(highest - Scalar(i % 3)); | |
| expectedProd = expectedProd * WideScalar(c(i)) % modulus; | |
| } | |
| VERIFY_IS_EQUAL(c.prod(), Scalar(expectedProd)); | |
| // The matrix product multiplies through pmul, at magnitudes integer_type_tests never reaches. | |
| const MatrixType m = MatrixType::Constant(4, 4, highest); | |
| const MatrixType mm = m * m; | |
| const WideScalar h = highest; | |
| VERIFY_IS_EQUAL(mm(0, 0), Scalar(4 * (h * h % modulus) % modulus)); | |
| } | |
| template <int> | |
| void integer_types_extra() { | |
| VERIFY_IS_EQUAL(int(internal::scalar_div_cost<int>::value), 8); | |
| VERIFY_IS_EQUAL(int(internal::scalar_div_cost<unsigned int>::value), 8); | |
| if (sizeof(long) > sizeof(int)) { | |
| VERIFY(int(internal::scalar_div_cost<long>::value) > int(internal::scalar_div_cost<int>::value)); | |
| VERIFY(int(internal::scalar_div_cost<unsigned long>::value) > int(internal::scalar_div_cost<int>::value)); | |
| } | |
| } | |
| EIGEN_DECLARE_TEST(integer_types) { | |
| for (int i = 0; i < g_repeat; i++) { | |
| CALL_SUBTEST_1(integer_type_tests(Matrix<unsigned int, 1, 1>())); | |
| CALL_SUBTEST_1(integer_type_tests(Matrix<unsigned long, 3, 4>())); | |
| CALL_SUBTEST_1(unsigned_wraparound_tests<unsigned int>()); | |
| CALL_SUBTEST_2(integer_type_tests(Matrix<long, 2, 2>())); | |
| CALL_SUBTEST_2(signed_integer_type_tests(Matrix<long, 2, 2>())); | |
| CALL_SUBTEST_3(integer_type_tests(Matrix<char, 2, Dynamic>(2, 10))); | |
| CALL_SUBTEST_3(signed_integer_type_tests(Matrix<signed char, 2, Dynamic>(2, 10))); | |
| CALL_SUBTEST_4(integer_type_tests(Matrix<unsigned char, 3, 3>())); | |
| CALL_SUBTEST_4(integer_type_tests(Matrix<unsigned char, Dynamic, Dynamic>(20, 20))); | |
| CALL_SUBTEST_4(unsigned_wraparound_tests<unsigned char>()); | |
| CALL_SUBTEST_5(integer_type_tests(Matrix<short, Dynamic, 4>(7, 4))); | |
| CALL_SUBTEST_5(signed_integer_type_tests(Matrix<short, Dynamic, 4>(7, 4))); | |
| CALL_SUBTEST_6(integer_type_tests(Matrix<unsigned short, 4, 4>())); | |
| CALL_SUBTEST_6(unsigned_wraparound_tests<unsigned short>()); | |
| CALL_SUBTEST_7(integer_type_tests(Matrix<long long, 11, 13>())); | |
| CALL_SUBTEST_7(signed_integer_type_tests(Matrix<long long, 11, 13>())); | |
| CALL_SUBTEST_8(integer_type_tests(Matrix<unsigned long long, Dynamic, 5>(1, 5))); | |
| } | |
| CALL_SUBTEST_9(integer_types_extra<0>()); | |
| } |