| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2015 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 | |
| // This unit test cannot be easily written to work with EIGEN_DEFAULT_TO_ROW_MAJOR | |
| #ifdef EIGEN_DEFAULT_TO_ROW_MAJOR | |
| #undef EIGEN_DEFAULT_TO_ROW_MAJOR | |
| #endif | |
| static long int nb_temporaries; | |
| inline void on_temporary_creation() { | |
| // here's a great place to set a breakpoint when debugging failures in this test! | |
| nb_temporaries++; | |
| } | |
| #define EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN \ | |
| { on_temporary_creation(); } | |
| #include "main.h" | |
| #include <Eigen/SparseCore> | |
| #define VERIFY_EVALUATION_COUNT(XPR, N) \ | |
| { \ | |
| nb_temporaries = 0; \ | |
| CALL_SUBTEST(XPR); \ | |
| if (nb_temporaries != N) std::cerr << "nb_temporaries == " << nb_temporaries << "\n"; \ | |
| VERIFY((#XPR) && nb_temporaries == N); \ | |
| } | |
| template <typename PlainObjectType> | |
| void check_const_correctness(const PlainObjectType &) { | |
| // verify that ref-to-const don't have LvalueBit | |
| typedef std::add_const_t<PlainObjectType> ConstPlainObjectType; | |
| VERIFY(!(internal::traits<Ref<ConstPlainObjectType>>::Flags & LvalueBit)); | |
| VERIFY(!(internal::traits<Ref<ConstPlainObjectType, Aligned>>::Flags & LvalueBit)); | |
| VERIFY(!(Ref<ConstPlainObjectType>::Flags & LvalueBit)); | |
| VERIFY(!(Ref<ConstPlainObjectType, Aligned>::Flags & LvalueBit)); | |
| } | |
| template <typename B> | |
| EIGEN_DONT_INLINE void call_ref_1(Ref<SparseMatrix<float>> a, const B &b) { | |
| VERIFY_IS_EQUAL(a.toDense(), b.toDense()); | |
| } | |
| template <typename B> | |
| EIGEN_DONT_INLINE void call_ref_2(const Ref<const SparseMatrix<float>> &a, const B &b) { | |
| VERIFY_IS_EQUAL(a.toDense(), b.toDense()); | |
| } | |
| template <typename B> | |
| EIGEN_DONT_INLINE void call_ref_rm_1(Ref<SparseMatrix<float, RowMajor>> a, const B &b) { | |
| VERIFY_IS_EQUAL(a.toDense(), b.toDense()); | |
| } | |
| template <typename B> | |
| EIGEN_DONT_INLINE void call_ref_rm_2(const Ref<const SparseMatrix<float, RowMajor>> &a, const B &b) { | |
| VERIFY_IS_EQUAL(a.toDense(), b.toDense()); | |
| } | |
| template <typename B> | |
| EIGEN_DONT_INLINE void call_ref_3(const Ref<const SparseMatrix<float>, StandardCompressedFormat> &a, const B &b) { | |
| VERIFY(a.isCompressed()); | |
| VERIFY_IS_EQUAL(a.toDense(), b.toDense()); | |
| } | |
| template <typename B> | |
| EIGEN_DONT_INLINE void call_ref_4(Ref<SparseVector<float>> a, const B &b) { | |
| VERIFY_IS_EQUAL(a.toDense(), b.toDense()); | |
| } | |
| template <typename B> | |
| EIGEN_DONT_INLINE void call_ref_5(const Ref<const SparseVector<float>> &a, const B &b) { | |
| VERIFY_IS_EQUAL(a.toDense(), b.toDense()); | |
| } | |
| template <typename T> | |
| typename T::Map make_map(T &xpr) { | |
| return typename T::Map(xpr.rows(), xpr.cols(), xpr.nonZeros(), xpr.outerIndexPtr(), xpr.innerIndexPtr(), | |
| xpr.valuePtr(), xpr.innerNonZeroPtr()); | |
| } | |
| template <typename T> | |
| auto innerpanel(T &xpr, Index start, Index size) | |
| -> std::enable_if_t<(T::Flags & RowMajorBit) == RowMajorBit, decltype(xpr.middleRows(start, size))> { | |
| return xpr.middleRows(start, size); | |
| } | |
| template <typename T> | |
| auto innerpanel(T &xpr, Index start, Index size) | |
| -> std::enable_if_t<(T::Flags & RowMajorBit) == 0, decltype(xpr.middleCols(start, size))> { | |
| return xpr.middleCols(start, size); | |
| } | |
| template <typename T> | |
| auto innervector(T &xpr, Index index) | |
| -> std::enable_if_t<(T::Flags & RowMajorBit) == RowMajorBit, decltype(xpr.row(index))> { | |
| return xpr.row(index); | |
| } | |
| template <typename T> | |
| auto innervector(T &xpr, Index index) -> std::enable_if_t<(T::Flags & RowMajorBit) == 0, decltype(xpr.col(index))> { | |
| return xpr.col(index); | |
| } | |
| template <typename XprType, typename ExpectedType> | |
| void verify_coeffs(const XprType &xpr, const ExpectedType &expected) { | |
| auto coeffs = xpr.coeffs(); | |
| VERIFY_IS_EQUAL(coeffs.size(), expected.size()); | |
| for (Index i = 0; i < expected.size(); ++i) VERIFY_IS_EQUAL(coeffs[i], expected[i]); | |
| } | |
| template <int Options> | |
| void init_diag(SparseMatrix<float, Options> &m) { | |
| m.resize(4, 4); | |
| m.insert(0, 0) = 10.f; | |
| m.insert(1, 1) = 20.f; | |
| m.insert(2, 2) = 30.f; | |
| m.insert(3, 3) = 40.f; | |
| m.makeCompressed(); | |
| } | |
| template <typename MatrixType> | |
| std::enable_if_t<(MatrixType::Flags & RowMajorBit) == 0> init_noncompressed_inner_panel(MatrixType &m) { | |
| m.resize(4, 4); | |
| m.reserve(VectorXi::Constant(4, 2)); | |
| m.insert(1, 1) = 11.f; | |
| m.insert(2, 1) = 12.f; | |
| m.insert(0, 2) = 20.f; | |
| m.insert(2, 2) = 30.f; | |
| m.insert(3, 3) = 40.f; | |
| } | |
| template <typename MatrixType> | |
| std::enable_if_t<(MatrixType::Flags & RowMajorBit) == RowMajorBit> init_noncompressed_inner_panel(MatrixType &m) { | |
| m.resize(4, 4); | |
| m.reserve(VectorXi::Constant(4, 2)); | |
| m.insert(1, 1) = 11.f; | |
| m.insert(1, 2) = 12.f; | |
| m.insert(2, 0) = 20.f; | |
| m.insert(2, 2) = 30.f; | |
| m.insert(3, 3) = 40.f; | |
| } | |
| template <typename MatrixType, typename Init, typename Verify> | |
| void verify_ref_and_map(const Init &init, const Verify &verify) { | |
| { | |
| MatrixType matrix; | |
| init(matrix); | |
| Ref<MatrixType> ref(matrix); | |
| verify(ref, matrix, 0); | |
| } | |
| { | |
| MatrixType matrix; | |
| init(matrix); | |
| auto map = make_map(matrix); | |
| verify(map, matrix, 1); | |
| } | |
| } | |
| template <typename XprType, typename MatrixType> | |
| void verify_slice_coeffs(XprType &xpr, MatrixType &storage, int variant) { | |
| Array<float, 2, 1> expected; | |
| expected << 20.f, 30.f; | |
| Ref<MatrixType> middle(innerpanel(xpr, 1, 2)); | |
| Ref<const MatrixType> const_middle(innerpanel(xpr, 1, 2)); | |
| const float updated0 = 210.f + 10.f * variant; | |
| const float updated1 = 310.f + 10.f * variant; | |
| verify_coeffs(middle, expected); | |
| verify_coeffs(const_middle, expected); | |
| auto coeffs = middle.coeffs(); | |
| coeffs[0] = updated0; | |
| coeffs[1] = updated1; | |
| VERIFY_IS_EQUAL(storage.coeff(0, 0), 10.f); | |
| VERIFY_IS_EQUAL(storage.coeff(1, 1), updated0); | |
| VERIFY_IS_EQUAL(storage.coeff(2, 2), updated1); | |
| } | |
| template <typename MatrixType, typename XprType> | |
| float innerpanel_coeff(const XprType &xpr, Index outer, Index inner) { | |
| if ((MatrixType::Flags & RowMajorBit) == RowMajorBit) return xpr.coeff(outer, inner); | |
| return xpr.coeff(inner, outer); | |
| } | |
| template <typename MatrixType, typename XprType> | |
| void set_innerpanel_coeff(XprType &xpr, Index outer, Index inner, float value) { | |
| if ((MatrixType::Flags & RowMajorBit) == RowMajorBit) | |
| xpr.coeffRef(outer, inner) = value; | |
| else | |
| xpr.coeffRef(inner, outer) = value; | |
| } | |
| template <typename MatrixType> | |
| float storage_innerpanel_coeff(const MatrixType &storage, Index outer, Index inner) { | |
| if ((MatrixType::Flags & RowMajorBit) == RowMajorBit) return storage.coeff(outer + 1, inner); | |
| return storage.coeff(inner, outer + 1); | |
| } | |
| template <typename MatrixType> | |
| float storage_innervector_coeff(const MatrixType &storage, Index outer, Index inner) { | |
| if ((MatrixType::Flags & RowMajorBit) == RowMajorBit) return storage.coeff(outer, inner); | |
| return storage.coeff(inner, outer); | |
| } | |
| template <typename XprType, typename MatrixType> | |
| void verify_noncompressed_middle_binding(XprType &xpr, MatrixType &storage, int variant) { | |
| struct Entry { | |
| Index outer; | |
| Index inner; | |
| float value; | |
| }; | |
| Ref<MatrixType> middle(innerpanel(xpr, 1, 2)); | |
| Ref<const MatrixType> const_middle(innerpanel(xpr, 1, 2)); | |
| const float updated0 = 111.f + variant; | |
| const float updated1 = 121.f + variant; | |
| const Entry expected[] = {{0, 1, 11.f}, {0, 2, 12.f}, {1, 0, 20.f}, {1, 2, 30.f}}; | |
| VERIFY(!middle.isCompressed()); | |
| VERIFY_IS_EQUAL(middle.nonZeros(), 4); | |
| VERIFY(!const_middle.isCompressed()); | |
| VERIFY_IS_EQUAL(const_middle.nonZeros(), 4); | |
| for (const auto &entry : expected) { | |
| VERIFY_IS_EQUAL(innerpanel_coeff<MatrixType>(middle, entry.outer, entry.inner), entry.value); | |
| VERIFY_IS_EQUAL(innerpanel_coeff<MatrixType>(const_middle, entry.outer, entry.inner), entry.value); | |
| } | |
| set_innerpanel_coeff<MatrixType>(middle, 0, 1, updated0); | |
| set_innerpanel_coeff<MatrixType>(middle, 1, 0, updated1); | |
| VERIFY_IS_EQUAL(storage_innerpanel_coeff(storage, 0, 1), updated0); | |
| VERIFY_IS_EQUAL(storage_innerpanel_coeff(storage, 1, 0), updated1); | |
| } | |
| template <typename XprType, typename MatrixType> | |
| void verify_noncompressed_inner_vector_binding(XprType &xpr, MatrixType &storage, int variant) { | |
| Array<float, 2, 1> expected; | |
| expected << 20.f, 30.f; | |
| Ref<SparseVector<float>> inner(innervector(xpr, 2)); | |
| Ref<const SparseVector<float>> const_inner(innervector(xpr, 2)); | |
| const float updated0 = 211.f + variant; | |
| const float updated1 = 221.f + variant; | |
| VERIFY(inner.isCompressed()); | |
| VERIFY_IS_EQUAL(inner.rows(), 4); | |
| VERIFY_IS_EQUAL(inner.cols(), 1); | |
| VERIFY_IS_EQUAL(inner.nonZeros(), 2); | |
| VERIFY(const_inner.isCompressed()); | |
| VERIFY_IS_EQUAL(const_inner.rows(), 4); | |
| VERIFY_IS_EQUAL(const_inner.cols(), 1); | |
| VERIFY_IS_EQUAL(const_inner.nonZeros(), 2); | |
| verify_coeffs(inner, expected); | |
| verify_coeffs(const_inner, expected); | |
| auto coeffs = inner.coeffs(); | |
| coeffs[0] = updated0; | |
| coeffs[1] = updated1; | |
| VERIFY_IS_EQUAL(storage_innervector_coeff(storage, 2, 0), updated0); | |
| VERIFY_IS_EQUAL(storage_innervector_coeff(storage, 2, 2), updated1); | |
| } | |
| void check_ref_slice_coeffs() { | |
| verify_ref_and_map<SparseMatrix<float>>( | |
| [](SparseMatrix<float> &matrix) { init_diag(matrix); }, | |
| [](auto &xpr, auto &matrix, int variant) { verify_slice_coeffs(xpr, matrix, variant); }); | |
| verify_ref_and_map<SparseMatrix<float, RowMajor>>( | |
| [](SparseMatrix<float, RowMajor> &matrix) { init_diag(matrix); }, | |
| [](auto &xpr, auto &matrix, int variant) { verify_slice_coeffs(xpr, matrix, variant); }); | |
| } | |
| void check_noncompressed_ref_slices() { | |
| verify_ref_and_map<SparseMatrix<float>>( | |
| [](SparseMatrix<float> &matrix) { init_noncompressed_inner_panel(matrix); }, | |
| [](auto &xpr, auto &matrix, int variant) { verify_noncompressed_middle_binding(xpr, matrix, variant); }); | |
| verify_ref_and_map<SparseMatrix<float, RowMajor>>( | |
| [](SparseMatrix<float, RowMajor> &matrix) { init_noncompressed_inner_panel(matrix); }, | |
| [](auto &xpr, auto &matrix, int variant) { verify_noncompressed_middle_binding(xpr, matrix, variant); }); | |
| } | |
| void check_noncompressed_ref_inner_vectors() { | |
| verify_ref_and_map<SparseMatrix<float>>( | |
| [](SparseMatrix<float> &matrix) { init_noncompressed_inner_panel(matrix); }, | |
| [](auto &xpr, auto &matrix, int variant) { verify_noncompressed_inner_vector_binding(xpr, matrix, variant); }); | |
| verify_ref_and_map<SparseMatrix<float, RowMajor>>( | |
| [](SparseMatrix<float, RowMajor> &matrix) { init_noncompressed_inner_panel(matrix); }, | |
| [](auto &xpr, auto &matrix, int variant) { verify_noncompressed_inner_vector_binding(xpr, matrix, variant); }); | |
| } | |
| // A copied vector Ref must not keep pointing into the outer index of its source. | |
| void check_vector_ref_copy() { | |
| using RefType = Ref<const SparseVector<double>>; | |
| SparseVector<double> v(5); | |
| v.insert(1) = 1; | |
| v.insert(3) = 2; | |
| internal::aligned_storage<sizeof(RefType), EIGEN_ALIGNOF(RefType)>::type buffer; | |
| RefType *source = ::new (static_cast<void *>(&buffer)) RefType(v); | |
| RefType copy(*source); | |
| source->~RefType(); | |
| std::memset(static_cast<void *>(&buffer), 0xff, sizeof(buffer)); | |
| VERIFY_IS_EQUAL(copy.sum(), 3.0); | |
| // The same holds for a copy assignment, which rebinds the target. | |
| using MutRefType = Ref<SparseVector<double>>; | |
| SparseVector<double> w(5); | |
| w.insert(0) = 4; | |
| internal::aligned_storage<sizeof(MutRefType), EIGEN_ALIGNOF(MutRefType)>::type mutBuffer; | |
| MutRefType *mutSource = ::new (static_cast<void *>(&mutBuffer)) MutRefType(v); | |
| MutRefType target(w); | |
| target = *mutSource; | |
| mutSource->~MutRefType(); | |
| std::memset(static_cast<void *>(&mutBuffer), 0xff, sizeof(mutBuffer)); | |
| VERIFY_IS_EQUAL(target.nonZeros(), 2); | |
| VERIFY_IS_EQUAL(target.sum(), 3.0); | |
| } | |
| void call_ref() { | |
| SparseMatrix<float> A = MatrixXf::Random(10, 10).sparseView(0.5, 1); | |
| SparseMatrix<float, RowMajor> B = MatrixXf::Random(10, 10).sparseView(0.5, 1); | |
| SparseMatrix<float> C = MatrixXf::Random(10, 10).sparseView(0.5, 1); | |
| C.reserve(VectorXi::Constant(C.outerSize(), 2)); | |
| const SparseMatrix<float> &Ac(A); | |
| SparseVector<float> vc = VectorXf::Random(10).sparseView(0.5, 1); | |
| SparseVector<float, RowMajor> vr = VectorXf::Random(10).sparseView(0.5, 1); | |
| SparseMatrix<float> AA = A * A; | |
| VERIFY_EVALUATION_COUNT(call_ref_1(A, A), 0); | |
| // VERIFY_EVALUATION_COUNT( call_ref_1(Ac, Ac), 0); // does not compile on purpose | |
| VERIFY_EVALUATION_COUNT(call_ref_2(A, A), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_3(A, A), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(A.transpose(), A.transpose()), 1); | |
| VERIFY_EVALUATION_COUNT(call_ref_3(A.transpose(), A.transpose()), 1); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(Ac, Ac), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_3(Ac, Ac), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(A + A, 2 * Ac), 1); | |
| VERIFY_EVALUATION_COUNT(call_ref_3(A + A, 2 * Ac), 1); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(B, B), 1); | |
| VERIFY_EVALUATION_COUNT(call_ref_3(B, B), 1); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(B.transpose(), B.transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_3(B.transpose(), B.transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(A * A, AA), 3); | |
| VERIFY_EVALUATION_COUNT(call_ref_3(A * A, AA), 3); | |
| VERIFY(!C.isCompressed()); | |
| VERIFY_EVALUATION_COUNT(call_ref_3(C, C), 1); | |
| Ref<SparseMatrix<float>> Ar(A); | |
| VERIFY_IS_APPROX(Ar + Ar, A + A); | |
| VERIFY_EVALUATION_COUNT(call_ref_1(Ar, A), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(Ar, A), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_1(Ar.middleCols(1, 3), A.middleCols(1, 3)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(Ar.middleCols(1, 3), A.middleCols(1, 3)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_4(Ar.col(2), A.col(2)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_5(Ar.col(2), A.col(2)), 0); | |
| Ref<SparseMatrix<float, RowMajor>> Br(B); | |
| VERIFY_EVALUATION_COUNT(call_ref_1(Br.transpose(), Br.transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(Br, Br), 1); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(Br.transpose(), Br.transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_rm_1(Br.middleRows(1, 3), B.middleRows(1, 3)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_rm_2(Br.middleRows(1, 3), B.middleRows(1, 3)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_4(Br.row(2), B.row(2).transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_5(Br.row(2), B.row(2).transpose()), 0); | |
| auto Am = make_map(A); | |
| VERIFY_EVALUATION_COUNT(call_ref_1(Am.middleCols(1, 3), A.middleCols(1, 3)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(Am.middleCols(1, 3), A.middleCols(1, 3)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_4(Am.col(2), A.col(2)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_5(Am.col(2), A.col(2)), 0); | |
| auto Bm = make_map(B); | |
| VERIFY_EVALUATION_COUNT(call_ref_rm_1(Bm.middleRows(1, 3), B.middleRows(1, 3)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_rm_2(Bm.middleRows(1, 3), B.middleRows(1, 3)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_4(Bm.row(2), B.row(2).transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_5(Bm.row(2), B.row(2).transpose()), 0); | |
| Ref<const SparseMatrix<float>> Arc(A); | |
| // VERIFY_EVALUATION_COUNT( call_ref_1(Arc, Arc), 0); // does not compile on purpose | |
| VERIFY_EVALUATION_COUNT(call_ref_2(Arc, Arc), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(A.middleCols(1, 3), A.middleCols(1, 3)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(A.col(2), A.col(2)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(vc, vc), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(vr.transpose(), vr.transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(vr, vr.transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_2(A.block(1, 1, 3, 3), A.block(1, 1, 3, 3)), | |
| 1); // should be 0 (allocate starts/nnz only) | |
| VERIFY_EVALUATION_COUNT(call_ref_4(vc, vc), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_4(vr, vr.transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_5(vc, vc), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_5(vr, vr.transpose()), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_4(A.col(2), A.col(2)), 0); | |
| VERIFY_EVALUATION_COUNT(call_ref_5(A.col(2), A.col(2)), 0); | |
| // VERIFY_EVALUATION_COUNT( call_ref_4(A.row(2), A.row(2).transpose()), 1); // does not compile on purpose | |
| VERIFY_EVALUATION_COUNT(call_ref_5(A.row(2), A.row(2).transpose()), 1); | |
| } | |
| EIGEN_DECLARE_TEST(sparse_ref) { | |
| for (int i = 0; i < g_repeat; i++) { | |
| CALL_SUBTEST_1(check_const_correctness(SparseMatrix<float>())); | |
| CALL_SUBTEST_1(check_const_correctness(SparseMatrix<double, RowMajor>())); | |
| CALL_SUBTEST_2(call_ref()); | |
| CALL_SUBTEST_4(check_ref_slice_coeffs()); | |
| CALL_SUBTEST_4(check_noncompressed_ref_slices()); | |
| CALL_SUBTEST_4(check_noncompressed_ref_inner_vectors()); | |
| CALL_SUBTEST_3(check_const_correctness(SparseVector<float>())); | |
| CALL_SUBTEST_3(check_vector_ref_copy()); | |
| CALL_SUBTEST_3(check_const_correctness(SparseVector<double, RowMajor>())); | |
| } | |
| } |