Created
September 22, 2017 20:06
-
-
Save mtao/342872cc54e83103b7d01cd224e035a3 to your computer and use it in GitHub Desktop.
bad naming scheme and should probably use a more general template than Eigen::VexctorX?, but this does what i ened for now
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #ifndef EIGEN_HDK_CONVERSION_HPP | |
| #define EIGEN_HDK_CONVERSION_HPP | |
| #include <UT/UT_SparseMatrix.h> | |
| #include <Eigen/Sparse> | |
| template <typename T, int Options = Eigen::ColMajor, typename StorageIndex> | |
| UT_SparseMatrixELLT<T> eigen_to_hdk_ellt(const Eigen::SparseMatrix<T,Options,StorageIndex>& A) { | |
| UT_SparseMatrixELLT<T> B(A.rows(), A.nonZeros()); | |
| int nz; | |
| for (int k=0; k<A.outerSize(); ++k) { | |
| for (typename Eigen::SparseMatrix<T>::InnerIterator it(A,k); it; ++it) { | |
| std::cout << it.row() << ", " << it.col() << ": " << it.value() << std::endl; | |
| B.appendRowElement(it.row(), it.col(), it.value(), nz); | |
| } | |
| } | |
| return B; | |
| } | |
| template <typename T, int Options = Eigen::ColMajor, typename StorageIndex> | |
| UT_SparseMatrixT<T,false> eigen_to_hdk(const Eigen::SparseMatrix<T,Options,StorageIndex>& A) { | |
| UT_SparseMatrixT<T,false> B(A.rows(),A.cols()); | |
| for (int k=0; k<A.outerSize(); ++k) { | |
| for (typename Eigen::SparseMatrix<T>::InnerIterator it(A,k); it; ++it) { | |
| B.addToElement(it.row(), it.col(), it.value()); | |
| } | |
| } | |
| B.compile(); | |
| return B; | |
| } | |
| template <typename T> | |
| Eigen::SparseMatrix<T> hdk_to_eigen(const UT_SparseMatrixT<T,false>& A) { | |
| using Triplet = Eigen::Triplet<T>; | |
| std::vector<Triplet> ts; | |
| auto func = [&](int r, int c, T v) { | |
| ts.emplace_back(r,c,v); | |
| }; | |
| A.accept(func); | |
| Eigen::SparseMatrix<T> B(A.getNumRows(),A.getNumCols()); | |
| B.setFromTriplets(ts.begin(),ts.end()); | |
| return B; | |
| } | |
| template <typename T> | |
| UT_VectorT<T> eigen_to_hdk(const Eigen::Matrix<T,Eigen::Dynamic,1>& A) { | |
| UT_VectorT<T> B(0,A.size()-1); | |
| for(int i = 0; i < A.rows(); ++i) { | |
| B(i) = A(i); | |
| } | |
| //std::copy(A.data(),A.data()+A.size(),B.getData()); | |
| return B; | |
| } | |
| template <typename T> | |
| Eigen::Matrix<T,Eigen::Dynamic,1> hdk_to_eigen(const UT_VectorT<T>& A) { | |
| Eigen::Matrix<T,Eigen::Dynamic,1> B(A.length()); | |
| for(int i = 0; i < A.length(); ++i) { | |
| B(i) = A(i + A.getNL()); | |
| } | |
| //std::copy(A.data(),A.data()+A.size(),B.getData()); | |
| return B; | |
| } | |
| #endif//EIGEN_HDK_CONVERSION_HPP |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment