// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2021 Andrew Johnson // // 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 #include "main.h" struct UnaryViewBox { explicit UnaryViewBox(double v = 0.) : value(v) {} double value; }; namespace Eigen { template <> struct NumTraits : NumTraits { typedef UnaryViewBox Real; typedef UnaryViewBox NonInteger; typedef UnaryViewBox Nested; enum { IsComplex = 0, IsInteger = 0, IsSigned = 1, RequireInitialization = 1, ReadCost = NumTraits::ReadCost, AddCost = NumTraits::AddCost, MulCost = NumTraits::MulCost }; }; namespace internal { struct unaryview_box_ref_op { EIGEN_EMPTY_STRUCT_CTOR(unaryview_box_ref_op) EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double& operator()(const UnaryViewBox& box) const { return numext::real_ref(*const_cast(&box.value)); } }; template <> struct functor_traits { enum { Cost = 0, PacketAccess = false }; }; } // namespace internal } // namespace Eigen template void unaryview_stride(const VectorType& m) { typedef typename VectorType::Scalar Scalar; Index rows = m.rows(); Index cols = m.cols(); VectorType vec = VectorType::Random(rows, cols); struct view_op { EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar& operator()(const Scalar& v) const { return v; } }; CwiseUnaryView> vec_view(vec); VERIFY(vec_view.outerStride() == (OuterStride == 0 ? 0 : OuterStride)); VERIFY(vec_view.innerStride() == (InnerStride == 0 ? 1 : InnerStride)); } void test_mutable_unaryview() { struct Vec3 { double x; double y; double z; }; Eigen::Vector m; auto x_view = m.unaryViewExpr([](Vec3& v) -> double& { return v.x; }); auto y_view = m.unaryViewExpr([](Vec3& v) -> double& { return v.y; }); auto z_view = m.unaryViewExpr([](Vec3& v) -> double& { return v.z; }); x_view.setConstant(1); y_view.setConstant(2); z_view.setConstant(3); for (int i = 0; i < m.size(); ++i) { VERIFY_IS_EQUAL(m(i).x, 1); VERIFY_IS_EQUAL(m(i).y, 2); VERIFY_IS_EQUAL(m(i).z, 3); } } void test_unaryview_pointer_result() { struct Payload { double value; }; struct Holder { Payload* ptr; }; struct pointer_view_op { Payload*& operator()(Holder& x) const { return x.ptr; } Payload* const& operator()(const Holder& x) const { return x.ptr; } }; Payload p0 = {0.0}; Payload p1 = {1.0}; Payload p2 = {2.0}; Eigen::Vector holders; holders(0).ptr = &p0; holders(1).ptr = &p1; auto view = holders.unaryViewExpr(pointer_view_op()); VERIFY((std::is_same::Scalar, Payload*>::value)); Eigen::Vector out = view; VERIFY_IS_EQUAL(out(0), &p0); VERIFY_IS_EQUAL(out(1), &p1); view(0) = &p2; VERIFY_IS_EQUAL(holders(0).ptr, &p2); } void test_unaryview_solve() { // Random upper-triangular system. Eigen::MatrixXd A = Eigen::MatrixXd::Random(5, 5); A.triangularView().setZero(); A.diagonal().setRandom(); Eigen::VectorXd b = Eigen::VectorXd::Random(5); struct trivial_view_op { double& operator()(double& x) const { return x; } const double& operator()(const double& x) const { return x; } }; // Non-const view: { auto b_view = b.unaryViewExpr(trivial_view_op()); b_view(0) = 1; // Allows modification. Eigen::VectorXd x = A.triangularView().solve(b_view); VERIFY_IS_APPROX(A * x, b); } // Const view: { const auto b_view = b.unaryViewExpr(trivial_view_op()); Eigen::VectorXd x = A.triangularView().solve(b_view); VERIFY_IS_APPROX(A * x, b); } // Non-const view of const matrix: { const Eigen::VectorXd const_b = b; auto b_view = const_b.unaryViewExpr(trivial_view_op()); Eigen::VectorXd x = A.triangularView().solve(b_view); VERIFY_IS_APPROX(A * x, b); } // Const view of const matrix: { const Eigen::VectorXd const_b = b; const auto b_view = const_b.unaryViewExpr(trivial_view_op()); Eigen::VectorXd x = A.triangularView().solve(b_view); VERIFY_IS_APPROX(A * x, b); } // Eigen::MatrixXd out = // mat_in.real() // .triangularView() // .solve(mat_in.unaryViewExpr([&](const auto& x){ return std::real(x); })); } void test_unaryview_direct_access_product() { typedef Matrix BoxMatrix; BoxMatrix a(4, 4), b(4, 4); MatrixXd a_values(4, 4), b_values(4, 4); for (Index j = 0; j < a.cols(); ++j) { for (Index i = 0; i < a.rows(); ++i) { a_values(i, j) = 1. + 0.5 * i + 0.25 * j; b_values(i, j) = -0.75 + 0.125 * i - 0.5 * j; a(i, j).value = a_values(i, j); b(i, j).value = b_values(i, j); } } CwiseUnaryView a_view(a); CwiseUnaryView b_view(b); const auto& const_a_view = a_view; const auto& const_b_view = b_view; VERIFY_IS_EQUAL(&const_a_view.coeffRef(0, 0), &a(0, 0).value); VERIFY_IS_EQUAL(&const_b_view.coeffRef(0, 0), &b(0, 0).value); MatrixXd actual = a_view * b_view; VERIFY_IS_APPROX(actual, a_values * b_values); } EIGEN_DECLARE_TEST(unaryviewstride) { CALL_SUBTEST_1((unaryview_stride<1, 2>(MatrixXf()))); CALL_SUBTEST_1((unaryview_stride<0, 0>(MatrixXf()))); CALL_SUBTEST_2((unaryview_stride<1, 2>(VectorXf()))); CALL_SUBTEST_2((unaryview_stride<0, 0>(VectorXf()))); CALL_SUBTEST_3((unaryview_stride<1, 2>(RowVectorXf()))); CALL_SUBTEST_3((unaryview_stride<0, 0>(RowVectorXf()))); CALL_SUBTEST_4(test_mutable_unaryview()); CALL_SUBTEST_4(test_unaryview_pointer_result()); CALL_SUBTEST_4(test_unaryview_solve()); CALL_SUBTEST_4(test_unaryview_direct_access_product()); }