| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> | |
| // Copyright (C) 2009 Ricard Marxer <email@ricardmarxer.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 "main.h" | |
| #include <iostream> | |
| using namespace std; | |
| template <typename MatrixType> | |
| void reverse(const MatrixType& m) { | |
| typedef typename MatrixType::Scalar Scalar; | |
| typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; | |
| Index rows = m.rows(); | |
| Index cols = m.cols(); | |
| // this test relies a lot on Random.h, and there's not much more that we can do | |
| // to test it, hence I consider that we will have tested Random.h | |
| MatrixType m1 = MatrixType::Random(rows, cols), m2; | |
| VectorType v1 = VectorType::Random(rows); | |
| MatrixType m1_r = m1.reverse(); | |
| // Verify that MatrixBase::reverse() works | |
| for (int i = 0; i < rows; i++) { | |
| for (int j = 0; j < cols; j++) { | |
| VERIFY_IS_APPROX(m1_r(i, j), m1(rows - 1 - i, cols - 1 - j)); | |
| } | |
| } | |
| Reverse<MatrixType> m1_rd(m1); | |
| // Verify that a Reverse default (in both directions) of an expression works | |
| for (int i = 0; i < rows; i++) { | |
| for (int j = 0; j < cols; j++) { | |
| VERIFY_IS_APPROX(m1_rd(i, j), m1(rows - 1 - i, cols - 1 - j)); | |
| } | |
| } | |
| Reverse<MatrixType, BothDirections> m1_rb(m1); | |
| // Verify that a Reverse in both directions of an expression works | |
| for (int i = 0; i < rows; i++) { | |
| for (int j = 0; j < cols; j++) { | |
| VERIFY_IS_APPROX(m1_rb(i, j), m1(rows - 1 - i, cols - 1 - j)); | |
| } | |
| } | |
| Reverse<MatrixType, Vertical> m1_rv(m1); | |
| // Verify that a Reverse in the vertical directions of an expression works | |
| for (int i = 0; i < rows; i++) { | |
| for (int j = 0; j < cols; j++) { | |
| VERIFY_IS_APPROX(m1_rv(i, j), m1(rows - 1 - i, j)); | |
| } | |
| } | |
| Reverse<MatrixType, Horizontal> m1_rh(m1); | |
| // Verify that a Reverse in the horizontal directions of an expression works | |
| for (int i = 0; i < rows; i++) { | |
| for (int j = 0; j < cols; j++) { | |
| VERIFY_IS_APPROX(m1_rh(i, j), m1(i, cols - 1 - j)); | |
| } | |
| } | |
| VectorType v1_r = v1.reverse(); | |
| // Verify that a VectorType::reverse() of an expression works | |
| for (int i = 0; i < rows; i++) { | |
| VERIFY_IS_APPROX(v1_r(i), v1(rows - 1 - i)); | |
| } | |
| MatrixType m1_cr = m1.colwise().reverse(); | |
| // Verify that PartialRedux::reverse() works (for colwise()) | |
| for (int i = 0; i < rows; i++) { | |
| for (int j = 0; j < cols; j++) { | |
| VERIFY_IS_APPROX(m1_cr(i, j), m1(rows - 1 - i, j)); | |
| } | |
| } | |
| MatrixType m1_rr = m1.rowwise().reverse(); | |
| // Verify that PartialRedux::reverse() works (for rowwise()) | |
| for (int i = 0; i < rows; i++) { | |
| for (int j = 0; j < cols; j++) { | |
| VERIFY_IS_APPROX(m1_rr(i, j), m1(i, cols - 1 - j)); | |
| } | |
| } | |
| Scalar x = internal::random<Scalar>(); | |
| Index r = internal::random<Index>(0, rows - 1), c = internal::random<Index>(0, cols - 1); | |
| m1.reverse()(r, c) = x; | |
| VERIFY_IS_APPROX(x, m1(rows - 1 - r, cols - 1 - c)); | |
| m2 = m1; | |
| m2.reverseInPlace(); | |
| VERIFY_IS_APPROX(m2, m1.reverse().eval()); | |
| m2 = m1; | |
| m2.col(0).reverseInPlace(); | |
| VERIFY_IS_APPROX(m2.col(0), m1.col(0).reverse().eval()); | |
| m2 = m1; | |
| m2.row(0).reverseInPlace(); | |
| VERIFY_IS_APPROX(m2.row(0), m1.row(0).reverse().eval()); | |
| m2 = m1; | |
| m2.rowwise().reverseInPlace(); | |
| VERIFY_IS_APPROX(m2, m1.rowwise().reverse().eval()); | |
| m2 = m1; | |
| m2.colwise().reverseInPlace(); | |
| VERIFY_IS_APPROX(m2, m1.colwise().reverse().eval()); | |
| m1.colwise().reverse()(r, c) = x; | |
| VERIFY_IS_APPROX(x, m1(rows - 1 - r, c)); | |
| m1.rowwise().reverse()(r, c) = x; | |
| VERIFY_IS_APPROX(x, m1(r, cols - 1 - c)); | |
| } | |
| template <int> | |
| void array_reverse_extra() { | |
| Vector4f x; | |
| x << 1, 2, 3, 4; | |
| Vector4f y; | |
| y << 4, 3, 2, 1; | |
| VERIFY(x.reverse()[1] == 3); | |
| VERIFY(x.reverse() == y); | |
| } | |
| // Simpler version of reverseInPlace leveraging a bug | |
| // in clang 6/7 with -O2 and AVX or AVX512 enabled. | |
| // This simpler version ensure that the clang bug is not simply hidden | |
| // through mis-inlining of reverseInPlace or other minor changes. | |
| template <typename MatrixType> | |
| EIGEN_DONT_INLINE void bug1684_job1(MatrixType& m1, MatrixType& m2) { | |
| m2 = m1; | |
| m2.col(0).swap(m2.col(3)); | |
| m2.col(1).swap(m2.col(2)); | |
| } | |
| template <typename MatrixType> | |
| EIGEN_DONT_INLINE void bug1684_job2(MatrixType& m1, MatrixType& m2) { | |
| m2 = m1; // load m1/m2 in AVX registers | |
| m1.col(0) = m2.col(3); // perform 128 bits moves | |
| m1.col(1) = m2.col(2); | |
| m1.col(2) = m2.col(1); | |
| m1.col(3) = m2.col(0); | |
| } | |
| template <typename MatrixType> | |
| EIGEN_DONT_INLINE void bug1684_job3(MatrixType& m1, MatrixType& m2) { | |
| m2 = m1; | |
| Vector4f tmp; | |
| tmp = m2.col(0); | |
| m2.col(0) = m2.col(3); | |
| m2.col(3) = tmp; | |
| tmp = m2.col(1); | |
| m2.col(1) = m2.col(2); | |
| m2.col(2) = tmp; | |
| } | |
| template <int> | |
| void bug1684() { | |
| Matrix4f m1 = Matrix4f::Random(); | |
| Matrix4f m2 = Matrix4f::Random(); | |
| bug1684_job1(m1, m2); | |
| VERIFY_IS_APPROX(m2, m1.rowwise().reverse().eval()); | |
| bug1684_job2(m1, m2); | |
| VERIFY_IS_APPROX(m2, m1.rowwise().reverse().eval()); | |
| // This one still fail after our swap's workaround, | |
| // but I expect users not to implement their own swap. | |
| // bug1684_job3(m1,m2); | |
| // VERIFY_IS_APPROX(m2, m1.rowwise().reverse().eval()); | |
| } | |
| EIGEN_DECLARE_TEST(array_reverse) { | |
| for (int i = 0; i < g_repeat; i++) { | |
| CALL_SUBTEST_1(reverse(Matrix<float, 1, 1>())); | |
| CALL_SUBTEST_2(reverse(Matrix2f())); | |
| CALL_SUBTEST_3(reverse(Matrix4f())); | |
| CALL_SUBTEST_4(reverse(Matrix4d())); | |
| CALL_SUBTEST_5(reverse( | |
| MatrixXcf(internal::random<int>(1, EIGEN_TEST_MAX_SIZE), internal::random<int>(1, EIGEN_TEST_MAX_SIZE)))); | |
| CALL_SUBTEST_6(reverse( | |
| MatrixXi(internal::random<int>(1, EIGEN_TEST_MAX_SIZE), internal::random<int>(1, EIGEN_TEST_MAX_SIZE)))); | |
| CALL_SUBTEST_7(reverse( | |
| MatrixXcd(internal::random<int>(1, EIGEN_TEST_MAX_SIZE), internal::random<int>(1, EIGEN_TEST_MAX_SIZE)))); | |
| CALL_SUBTEST_8(reverse(Matrix<float, 100, 100>())); | |
| CALL_SUBTEST_9(reverse(Matrix<float, Dynamic, Dynamic, RowMajor>(internal::random<int>(1, EIGEN_TEST_MAX_SIZE), | |
| internal::random<int>(1, EIGEN_TEST_MAX_SIZE)))); | |
| CALL_SUBTEST_3(bug1684<0>()); | |
| } | |
| CALL_SUBTEST_3(array_reverse_extra<0>()); | |
| } |