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diff --git a/tests/test_eigen.cpp b/tests/test_eigen.cpp new file mode 100644 index 0000000..aba088d --- /dev/null +++ b/tests/test_eigen.cpp @@ -0,0 +1,329 @@ +/* + tests/eigen.cpp -- automatic conversion of Eigen types + + Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch> + + All rights reserved. Use of this source code is governed by a + BSD-style license that can be found in the LICENSE file. +*/ + +#include "pybind11_tests.h" +#include "constructor_stats.h" +#include <pybind11/eigen.h> +#include <pybind11/stl.h> + +#if defined(_MSC_VER) +# pragma warning(disable: 4996) // C4996: std::unary_negation is deprecated +#endif + +#include <Eigen/Cholesky> + +using MatrixXdR = Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>; + + + +// Sets/resets a testing reference matrix to have values of 10*r + c, where r and c are the +// (1-based) row/column number. +template <typename M> void reset_ref(M &x) { + for (int i = 0; i < x.rows(); i++) for (int j = 0; j < x.cols(); j++) + x(i, j) = 11 + 10*i + j; +} + +// Returns a static, column-major matrix +Eigen::MatrixXd &get_cm() { + static Eigen::MatrixXd *x; + if (!x) { + x = new Eigen::MatrixXd(3, 3); + reset_ref(*x); + } + return *x; +} +// Likewise, but row-major +MatrixXdR &get_rm() { + static MatrixXdR *x; + if (!x) { + x = new MatrixXdR(3, 3); + reset_ref(*x); + } + return *x; +} +// Resets the values of the static matrices returned by get_cm()/get_rm() +void reset_refs() { + reset_ref(get_cm()); + reset_ref(get_rm()); +} + +// Returns element 2,1 from a matrix (used to test copy/nocopy) +double get_elem(Eigen::Ref<const Eigen::MatrixXd> m) { return m(2, 1); }; + + +// Returns a matrix with 10*r + 100*c added to each matrix element (to help test that the matrix +// reference is referencing rows/columns correctly). +template <typename MatrixArgType> Eigen::MatrixXd adjust_matrix(MatrixArgType m) { + Eigen::MatrixXd ret(m); + for (int c = 0; c < m.cols(); c++) for (int r = 0; r < m.rows(); r++) + ret(r, c) += 10*r + 100*c; + return ret; +} + +struct CustomOperatorNew { + CustomOperatorNew() = default; + + Eigen::Matrix4d a = Eigen::Matrix4d::Zero(); + Eigen::Matrix4d b = Eigen::Matrix4d::Identity(); + + EIGEN_MAKE_ALIGNED_OPERATOR_NEW; +}; + +TEST_SUBMODULE(eigen, m) { + using FixedMatrixR = Eigen::Matrix<float, 5, 6, Eigen::RowMajor>; + using FixedMatrixC = Eigen::Matrix<float, 5, 6>; + using DenseMatrixR = Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>; + using DenseMatrixC = Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic>; + using FourRowMatrixC = Eigen::Matrix<float, 4, Eigen::Dynamic>; + using FourColMatrixC = Eigen::Matrix<float, Eigen::Dynamic, 4>; + using FourRowMatrixR = Eigen::Matrix<float, 4, Eigen::Dynamic>; + using FourColMatrixR = Eigen::Matrix<float, Eigen::Dynamic, 4>; + using SparseMatrixR = Eigen::SparseMatrix<float, Eigen::RowMajor>; + using SparseMatrixC = Eigen::SparseMatrix<float>; + + m.attr("have_eigen") = true; + + // various tests + m.def("double_col", [](const Eigen::VectorXf &x) -> Eigen::VectorXf { return 2.0f * x; }); + m.def("double_row", [](const Eigen::RowVectorXf &x) -> Eigen::RowVectorXf { return 2.0f * x; }); + m.def("double_complex", [](const Eigen::VectorXcf &x) -> Eigen::VectorXcf { return 2.0f * x; }); + m.def("double_threec", [](py::EigenDRef<Eigen::Vector3f> x) { x *= 2; }); + m.def("double_threer", [](py::EigenDRef<Eigen::RowVector3f> x) { x *= 2; }); + m.def("double_mat_cm", [](Eigen::MatrixXf x) -> Eigen::MatrixXf { return 2.0f * x; }); + m.def("double_mat_rm", [](DenseMatrixR x) -> DenseMatrixR { return 2.0f * x; }); + + // test_eigen_ref_to_python + // Different ways of passing via Eigen::Ref; the first and second are the Eigen-recommended + m.def("cholesky1", [](Eigen::Ref<MatrixXdR> x) -> Eigen::MatrixXd { return x.llt().matrixL(); }); + m.def("cholesky2", [](const Eigen::Ref<const MatrixXdR> &x) -> Eigen::MatrixXd { return x.llt().matrixL(); }); + m.def("cholesky3", [](const Eigen::Ref<MatrixXdR> &x) -> Eigen::MatrixXd { return x.llt().matrixL(); }); + m.def("cholesky4", [](Eigen::Ref<const MatrixXdR> x) -> Eigen::MatrixXd { return x.llt().matrixL(); }); + + // test_eigen_ref_mutators + // Mutators: these add some value to the given element using Eigen, but Eigen should be mapping into + // the numpy array data and so the result should show up there. There are three versions: one that + // works on a contiguous-row matrix (numpy's default), one for a contiguous-column matrix, and one + // for any matrix. + auto add_rm = [](Eigen::Ref<MatrixXdR> x, int r, int c, double v) { x(r,c) += v; }; + auto add_cm = [](Eigen::Ref<Eigen::MatrixXd> x, int r, int c, double v) { x(r,c) += v; }; + + // Mutators (Eigen maps into numpy variables): + m.def("add_rm", add_rm); // Only takes row-contiguous + m.def("add_cm", add_cm); // Only takes column-contiguous + // Overloaded versions that will accept either row or column contiguous: + m.def("add1", add_rm); + m.def("add1", add_cm); + m.def("add2", add_cm); + m.def("add2", add_rm); + // This one accepts a matrix of any stride: + m.def("add_any", [](py::EigenDRef<Eigen::MatrixXd> x, int r, int c, double v) { x(r,c) += v; }); + + // Return mutable references (numpy maps into eigen variables) + m.def("get_cm_ref", []() { return Eigen::Ref<Eigen::MatrixXd>(get_cm()); }); + m.def("get_rm_ref", []() { return Eigen::Ref<MatrixXdR>(get_rm()); }); + // The same references, but non-mutable (numpy maps into eigen variables, but is !writeable) + m.def("get_cm_const_ref", []() { return Eigen::Ref<const Eigen::MatrixXd>(get_cm()); }); + m.def("get_rm_const_ref", []() { return Eigen::Ref<const MatrixXdR>(get_rm()); }); + + m.def("reset_refs", reset_refs); // Restores get_{cm,rm}_ref to original values + + // Increments and returns ref to (same) matrix + m.def("incr_matrix", [](Eigen::Ref<Eigen::MatrixXd> m, double v) { + m += Eigen::MatrixXd::Constant(m.rows(), m.cols(), v); + return m; + }, py::return_value_policy::reference); + + // Same, but accepts a matrix of any strides + m.def("incr_matrix_any", [](py::EigenDRef<Eigen::MatrixXd> m, double v) { + m += Eigen::MatrixXd::Constant(m.rows(), m.cols(), v); + return m; + }, py::return_value_policy::reference); + + // Returns an eigen slice of even rows + m.def("even_rows", [](py::EigenDRef<Eigen::MatrixXd> m) { + return py::EigenDMap<Eigen::MatrixXd>( + m.data(), (m.rows() + 1) / 2, m.cols(), + py::EigenDStride(m.outerStride(), 2 * m.innerStride())); + }, py::return_value_policy::reference); + + // Returns an eigen slice of even columns + m.def("even_cols", [](py::EigenDRef<Eigen::MatrixXd> m) { + return py::EigenDMap<Eigen::MatrixXd>( + m.data(), m.rows(), (m.cols() + 1) / 2, + py::EigenDStride(2 * m.outerStride(), m.innerStride())); + }, py::return_value_policy::reference); + + // Returns diagonals: a vector-like object with an inner stride != 1 + m.def("diagonal", [](const Eigen::Ref<const Eigen::MatrixXd> &x) { return x.diagonal(); }); + m.def("diagonal_1", [](const Eigen::Ref<const Eigen::MatrixXd> &x) { return x.diagonal<1>(); }); + m.def("diagonal_n", [](const Eigen::Ref<const Eigen::MatrixXd> &x, int index) { return x.diagonal(index); }); + + // Return a block of a matrix (gives non-standard strides) + m.def("block", [](const Eigen::Ref<const Eigen::MatrixXd> &x, int start_row, int start_col, int block_rows, int block_cols) { + return x.block(start_row, start_col, block_rows, block_cols); + }); + + // test_eigen_return_references, test_eigen_keepalive + // return value referencing/copying tests: + class ReturnTester { + Eigen::MatrixXd mat = create(); + public: + ReturnTester() { print_created(this); } + ~ReturnTester() { print_destroyed(this); } + static Eigen::MatrixXd create() { return Eigen::MatrixXd::Ones(10, 10); } + static const Eigen::MatrixXd createConst() { return Eigen::MatrixXd::Ones(10, 10); } + Eigen::MatrixXd &get() { return mat; } + Eigen::MatrixXd *getPtr() { return &mat; } + const Eigen::MatrixXd &view() { return mat; } + const Eigen::MatrixXd *viewPtr() { return &mat; } + Eigen::Ref<Eigen::MatrixXd> ref() { return mat; } + Eigen::Ref<const Eigen::MatrixXd> refConst() { return mat; } + Eigen::Block<Eigen::MatrixXd> block(int r, int c, int nrow, int ncol) { return mat.block(r, c, nrow, ncol); } + Eigen::Block<const Eigen::MatrixXd> blockConst(int r, int c, int nrow, int ncol) const { return mat.block(r, c, nrow, ncol); } + py::EigenDMap<Eigen::Matrix2d> corners() { return py::EigenDMap<Eigen::Matrix2d>(mat.data(), + py::EigenDStride(mat.outerStride() * (mat.outerSize()-1), mat.innerStride() * (mat.innerSize()-1))); } + py::EigenDMap<const Eigen::Matrix2d> cornersConst() const { return py::EigenDMap<const Eigen::Matrix2d>(mat.data(), + py::EigenDStride(mat.outerStride() * (mat.outerSize()-1), mat.innerStride() * (mat.innerSize()-1))); } + }; + using rvp = py::return_value_policy; + py::class_<ReturnTester>(m, "ReturnTester") + .def(py::init<>()) + .def_static("create", &ReturnTester::create) + .def_static("create_const", &ReturnTester::createConst) + .def("get", &ReturnTester::get, rvp::reference_internal) + .def("get_ptr", &ReturnTester::getPtr, rvp::reference_internal) + .def("view", &ReturnTester::view, rvp::reference_internal) + .def("view_ptr", &ReturnTester::view, rvp::reference_internal) + .def("copy_get", &ReturnTester::get) // Default rvp: copy + .def("copy_view", &ReturnTester::view) // " + .def("ref", &ReturnTester::ref) // Default for Ref is to reference + .def("ref_const", &ReturnTester::refConst) // Likewise, but const + .def("ref_safe", &ReturnTester::ref, rvp::reference_internal) + .def("ref_const_safe", &ReturnTester::refConst, rvp::reference_internal) + .def("copy_ref", &ReturnTester::ref, rvp::copy) + .def("copy_ref_const", &ReturnTester::refConst, rvp::copy) + .def("block", &ReturnTester::block) + .def("block_safe", &ReturnTester::block, rvp::reference_internal) + .def("block_const", &ReturnTester::blockConst, rvp::reference_internal) + .def("copy_block", &ReturnTester::block, rvp::copy) + .def("corners", &ReturnTester::corners, rvp::reference_internal) + .def("corners_const", &ReturnTester::cornersConst, rvp::reference_internal) + ; + + // test_special_matrix_objects + // Returns a DiagonalMatrix with diagonal (1,2,3,...) + m.def("incr_diag", [](int k) { + Eigen::DiagonalMatrix<int, Eigen::Dynamic> m(k); + for (int i = 0; i < k; i++) m.diagonal()[i] = i+1; + return m; + }); + + // Returns a SelfAdjointView referencing the lower triangle of m + m.def("symmetric_lower", [](const Eigen::MatrixXi &m) { + return m.selfadjointView<Eigen::Lower>(); + }); + // Returns a SelfAdjointView referencing the lower triangle of m + m.def("symmetric_upper", [](const Eigen::MatrixXi &m) { + return m.selfadjointView<Eigen::Upper>(); + }); + + // Test matrix for various functions below. + Eigen::MatrixXf mat(5, 6); + mat << 0, 3, 0, 0, 0, 11, + 22, 0, 0, 0, 17, 11, + 7, 5, 0, 1, 0, 11, + 0, 0, 0, 0, 0, 11, + 0, 0, 14, 0, 8, 11; + + // test_fixed, and various other tests + m.def("fixed_r", [mat]() -> FixedMatrixR { return FixedMatrixR(mat); }); + m.def("fixed_r_const", [mat]() -> const FixedMatrixR { return FixedMatrixR(mat); }); + m.def("fixed_c", [mat]() -> FixedMatrixC { return FixedMatrixC(mat); }); + m.def("fixed_copy_r", [](const FixedMatrixR &m) -> FixedMatrixR { return m; }); + m.def("fixed_copy_c", [](const FixedMatrixC &m) -> FixedMatrixC { return m; }); + // test_mutator_descriptors + m.def("fixed_mutator_r", [](Eigen::Ref<FixedMatrixR>) {}); + m.def("fixed_mutator_c", [](Eigen::Ref<FixedMatrixC>) {}); + m.def("fixed_mutator_a", [](py::EigenDRef<FixedMatrixC>) {}); + // test_dense + m.def("dense_r", [mat]() -> DenseMatrixR { return DenseMatrixR(mat); }); + m.def("dense_c", [mat]() -> DenseMatrixC { return DenseMatrixC(mat); }); + m.def("dense_copy_r", [](const DenseMatrixR &m) -> DenseMatrixR { return m; }); + m.def("dense_copy_c", [](const DenseMatrixC &m) -> DenseMatrixC { return m; }); + // test_sparse, test_sparse_signature + m.def("sparse_r", [mat]() -> SparseMatrixR { return Eigen::SparseView<Eigen::MatrixXf>(mat); }); + m.def("sparse_c", [mat]() -> SparseMatrixC { return Eigen::SparseView<Eigen::MatrixXf>(mat); }); + m.def("sparse_copy_r", [](const SparseMatrixR &m) -> SparseMatrixR { return m; }); + m.def("sparse_copy_c", [](const SparseMatrixC &m) -> SparseMatrixC { return m; }); + // test_partially_fixed + m.def("partial_copy_four_rm_r", [](const FourRowMatrixR &m) -> FourRowMatrixR { return m; }); + m.def("partial_copy_four_rm_c", [](const FourColMatrixR &m) -> FourColMatrixR { return m; }); + m.def("partial_copy_four_cm_r", [](const FourRowMatrixC &m) -> FourRowMatrixC { return m; }); + m.def("partial_copy_four_cm_c", [](const FourColMatrixC &m) -> FourColMatrixC { return m; }); + + // test_cpp_casting + // Test that we can cast a numpy object to a Eigen::MatrixXd explicitly + m.def("cpp_copy", [](py::handle m) { return m.cast<Eigen::MatrixXd>()(1, 0); }); + m.def("cpp_ref_c", [](py::handle m) { return m.cast<Eigen::Ref<Eigen::MatrixXd>>()(1, 0); }); + m.def("cpp_ref_r", [](py::handle m) { return m.cast<Eigen::Ref<MatrixXdR>>()(1, 0); }); + m.def("cpp_ref_any", [](py::handle m) { return m.cast<py::EigenDRef<Eigen::MatrixXd>>()(1, 0); }); + + + // test_nocopy_wrapper + // Test that we can prevent copying into an argument that would normally copy: First a version + // that would allow copying (if types or strides don't match) for comparison: + m.def("get_elem", &get_elem); + // Now this alternative that calls the tells pybind to fail rather than copy: + m.def("get_elem_nocopy", [](Eigen::Ref<const Eigen::MatrixXd> m) -> double { return get_elem(m); }, + py::arg().noconvert()); + // Also test a row-major-only no-copy const ref: + m.def("get_elem_rm_nocopy", [](Eigen::Ref<const Eigen::Matrix<long, -1, -1, Eigen::RowMajor>> &m) -> long { return m(2, 1); }, + py::arg().noconvert()); + + // test_issue738 + // Issue #738: 1xN or Nx1 2D matrices were neither accepted nor properly copied with an + // incompatible stride value on the length-1 dimension--but that should be allowed (without + // requiring a copy!) because the stride value can be safely ignored on a size-1 dimension. + m.def("iss738_f1", &adjust_matrix<const Eigen::Ref<const Eigen::MatrixXd> &>, py::arg().noconvert()); + m.def("iss738_f2", &adjust_matrix<const Eigen::Ref<const Eigen::Matrix<double, -1, -1, Eigen::RowMajor>> &>, py::arg().noconvert()); + + // test_issue1105 + // Issue #1105: when converting from a numpy two-dimensional (Nx1) or (1xN) value into a dense + // eigen Vector or RowVector, the argument would fail to load because the numpy copy would fail: + // numpy won't broadcast a Nx1 into a 1-dimensional vector. + m.def("iss1105_col", [](Eigen::VectorXd) { return true; }); + m.def("iss1105_row", [](Eigen::RowVectorXd) { return true; }); + + // test_named_arguments + // Make sure named arguments are working properly: + m.def("matrix_multiply", [](const py::EigenDRef<const Eigen::MatrixXd> A, const py::EigenDRef<const Eigen::MatrixXd> B) + -> Eigen::MatrixXd { + if (A.cols() != B.rows()) throw std::domain_error("Nonconformable matrices!"); + return A * B; + }, py::arg("A"), py::arg("B")); + + // test_custom_operator_new + py::class_<CustomOperatorNew>(m, "CustomOperatorNew") + .def(py::init<>()) + .def_readonly("a", &CustomOperatorNew::a) + .def_readonly("b", &CustomOperatorNew::b); + + // test_eigen_ref_life_support + // In case of a failure (the caster's temp array does not live long enough), creating + // a new array (np.ones(10)) increases the chances that the temp array will be garbage + // collected and/or that its memory will be overridden with different values. + m.def("get_elem_direct", [](Eigen::Ref<const Eigen::VectorXd> v) { + py::module::import("numpy").attr("ones")(10); + return v(5); + }); + m.def("get_elem_indirect", [](std::vector<Eigen::Ref<const Eigen::VectorXd>> v) { + py::module::import("numpy").attr("ones")(10); + return v[0](5); + }); +} |