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3e0e779322
Add and declare to Python functions
double_mat_cm() --- compute 2* a column-major matrix
double_mat_rm() --- compute 2* a row-major matrix
to 'eigen.cpp' tests / example.
92 lines
2.7 KiB
C++
92 lines
2.7 KiB
C++
/*
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example/eigen.cpp -- automatic conversion of Eigen types
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Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
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All rights reserved. Use of this source code is governed by a
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BSD-style license that can be found in the LICENSE file.
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*/
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#include "example.h"
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#include <pybind11/eigen.h>
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Eigen::VectorXf double_col(const Eigen::VectorXf& x)
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{ return 2.0f * x; }
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Eigen::RowVectorXf double_row(const Eigen::RowVectorXf& x)
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{ return 2.0f * x; }
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Eigen::MatrixXf double_mat_cm(const Eigen::MatrixXf& x)
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{ return 2.0f * x; }
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typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> MatrixXfRowMajor;
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MatrixXfRowMajor double_mat_rm(const MatrixXfRowMajor& x)
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{ return 2.0f * x; }
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void init_eigen(py::module &m) {
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typedef Eigen::Matrix<float, 5, 6, Eigen::RowMajor> FixedMatrixR;
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typedef Eigen::Matrix<float, 5, 6> FixedMatrixC;
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typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> DenseMatrixR;
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typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic> DenseMatrixC;
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typedef Eigen::SparseMatrix<float, Eigen::RowMajor> SparseMatrixR;
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typedef Eigen::SparseMatrix<float> SparseMatrixC;
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// Non-symmetric matrix with zero elements
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Eigen::MatrixXf mat(5, 6);
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mat << 0, 3, 0, 0, 0, 11, 22, 0, 0, 0, 17, 11, 7, 5, 0, 1, 0, 11, 0,
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0, 0, 0, 0, 11, 0, 0, 14, 0, 8, 11;
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m.def("double_col", &double_col);
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m.def("double_row", &double_row);
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m.def("double_mat_cm", &double_mat_cm);
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m.def("double_mat_rm", &double_mat_rm);
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m.def("fixed_r", [mat]() -> FixedMatrixR {
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return FixedMatrixR(mat);
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});
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m.def("fixed_c", [mat]() -> FixedMatrixC {
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return FixedMatrixC(mat);
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});
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m.def("fixed_passthrough_r", [](const FixedMatrixR &m) -> FixedMatrixR {
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return m;
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});
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m.def("fixed_passthrough_c", [](const FixedMatrixC &m) -> FixedMatrixC {
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return m;
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});
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m.def("dense_r", [mat]() -> DenseMatrixR {
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return DenseMatrixR(mat);
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});
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m.def("dense_c", [mat]() -> DenseMatrixC {
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return DenseMatrixC(mat);
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});
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m.def("dense_passthrough_r", [](const DenseMatrixR &m) -> DenseMatrixR {
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return m;
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});
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m.def("dense_passthrough_c", [](const DenseMatrixC &m) -> DenseMatrixC {
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return m;
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});
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m.def("sparse_r", [mat]() -> SparseMatrixR {
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return Eigen::SparseView<Eigen::MatrixXf>(mat);
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});
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m.def("sparse_c", [mat]() -> SparseMatrixC {
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return Eigen::SparseView<Eigen::MatrixXf>(mat);
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});
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m.def("sparse_passthrough_r", [](const SparseMatrixR &m) -> SparseMatrixR {
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return m;
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});
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m.def("sparse_passthrough_c", [](const SparseMatrixC &m) -> SparseMatrixC {
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return m;
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});
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}
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