| | #include <iostream> |
| | #include "BenchTimer.h" |
| | #include <Eigen/Dense> |
| | #include <map> |
| | #include <vector> |
| | #include <string> |
| | #include <sstream> |
| | using namespace Eigen; |
| |
|
| | std::map<std::string,Array<float,1,8,DontAlign|RowMajor> > results; |
| | std::vector<std::string> labels; |
| | std::vector<Array2i> sizes; |
| |
|
| | template<typename Solver,typename MatrixType> |
| | EIGEN_DONT_INLINE |
| | void compute_norm_equation(Solver &solver, const MatrixType &A) { |
| | if(A.rows()!=A.cols()) |
| | solver.compute(A.transpose()*A); |
| | else |
| | solver.compute(A); |
| | } |
| |
|
| | template<typename Solver,typename MatrixType> |
| | EIGEN_DONT_INLINE |
| | void compute(Solver &solver, const MatrixType &A) { |
| | solver.compute(A); |
| | } |
| |
|
| | template<typename Scalar,int Size> |
| | void bench(int id, int rows, int size = Size) |
| | { |
| | typedef Matrix<Scalar,Dynamic,Size> Mat; |
| | typedef Matrix<Scalar,Dynamic,Dynamic> MatDyn; |
| | typedef Matrix<Scalar,Size,Size> MatSquare; |
| | Mat A(rows,size); |
| | A.setRandom(); |
| | if(rows==size) |
| | A = A*A.adjoint(); |
| | BenchTimer t_llt, t_ldlt, t_lu, t_fplu, t_qr, t_cpqr, t_cod, t_fpqr, t_jsvd, t_bdcsvd; |
| |
|
| | int svd_opt = ComputeThinU|ComputeThinV; |
| | |
| | int tries = 5; |
| | int rep = 1000/size; |
| | if(rep==0) rep = 1; |
| | |
| | |
| | LLT<MatSquare> llt(size); |
| | LDLT<MatSquare> ldlt(size); |
| | PartialPivLU<MatSquare> lu(size); |
| | FullPivLU<MatSquare> fplu(size,size); |
| | HouseholderQR<Mat> qr(A.rows(),A.cols()); |
| | ColPivHouseholderQR<Mat> cpqr(A.rows(),A.cols()); |
| | CompleteOrthogonalDecomposition<Mat> cod(A.rows(),A.cols()); |
| | FullPivHouseholderQR<Mat> fpqr(A.rows(),A.cols()); |
| | JacobiSVD<MatDyn> jsvd(A.rows(),A.cols()); |
| | BDCSVD<MatDyn> bdcsvd(A.rows(),A.cols()); |
| | |
| | BENCH(t_llt, tries, rep, compute_norm_equation(llt,A)); |
| | BENCH(t_ldlt, tries, rep, compute_norm_equation(ldlt,A)); |
| | BENCH(t_lu, tries, rep, compute_norm_equation(lu,A)); |
| | if(size<=1000) |
| | BENCH(t_fplu, tries, rep, compute_norm_equation(fplu,A)); |
| | BENCH(t_qr, tries, rep, compute(qr,A)); |
| | BENCH(t_cpqr, tries, rep, compute(cpqr,A)); |
| | BENCH(t_cod, tries, rep, compute(cod,A)); |
| | if(size*rows<=10000000) |
| | BENCH(t_fpqr, tries, rep, compute(fpqr,A)); |
| | if(size<500) |
| | BENCH(t_jsvd, tries, rep, jsvd.compute(A,svd_opt)); |
| | |
| | BENCH(t_bdcsvd, tries, rep, bdcsvd.compute(A,svd_opt)); |
| | |
| | results["LLT"][id] = t_llt.best(); |
| | results["LDLT"][id] = t_ldlt.best(); |
| | results["PartialPivLU"][id] = t_lu.best(); |
| | results["FullPivLU"][id] = t_fplu.best(); |
| | results["HouseholderQR"][id] = t_qr.best(); |
| | results["ColPivHouseholderQR"][id] = t_cpqr.best(); |
| | results["CompleteOrthogonalDecomposition"][id] = t_cod.best(); |
| | results["FullPivHouseholderQR"][id] = t_fpqr.best(); |
| | results["JacobiSVD"][id] = t_jsvd.best(); |
| | results["BDCSVD"][id] = t_bdcsvd.best(); |
| | } |
| |
|
| |
|
| | int main() |
| | { |
| | labels.push_back("LLT"); |
| | labels.push_back("LDLT"); |
| | labels.push_back("PartialPivLU"); |
| | labels.push_back("FullPivLU"); |
| | labels.push_back("HouseholderQR"); |
| | labels.push_back("ColPivHouseholderQR"); |
| | labels.push_back("CompleteOrthogonalDecomposition"); |
| | labels.push_back("FullPivHouseholderQR"); |
| | labels.push_back("JacobiSVD"); |
| | labels.push_back("BDCSVD"); |
| |
|
| | for(int i=0; i<labels.size(); ++i) |
| | results[labels[i]].fill(-1); |
| |
|
| | const int small = 8; |
| | sizes.push_back(Array2i(small,small)); |
| | sizes.push_back(Array2i(100,100)); |
| | sizes.push_back(Array2i(1000,1000)); |
| | sizes.push_back(Array2i(4000,4000)); |
| | sizes.push_back(Array2i(10000,small)); |
| | sizes.push_back(Array2i(10000,100)); |
| | sizes.push_back(Array2i(10000,1000)); |
| | sizes.push_back(Array2i(10000,4000)); |
| |
|
| | using namespace std; |
| |
|
| | for(int k=0; k<sizes.size(); ++k) |
| | { |
| | cout << sizes[k](0) << "x" << sizes[k](1) << "...\n"; |
| | bench<float,Dynamic>(k,sizes[k](0),sizes[k](1)); |
| | } |
| |
|
| | cout.width(32); |
| | cout << "solver/size"; |
| | cout << " "; |
| | for(int k=0; k<sizes.size(); ++k) |
| | { |
| | std::stringstream ss; |
| | ss << sizes[k](0) << "x" << sizes[k](1); |
| | cout.width(10); cout << ss.str(); cout << " "; |
| | } |
| | cout << endl; |
| |
|
| |
|
| | for(int i=0; i<labels.size(); ++i) |
| | { |
| | cout.width(32); cout << labels[i]; cout << " "; |
| | ArrayXf r = (results[labels[i]]*100000.f).floor()/100.f; |
| | for(int k=0; k<sizes.size(); ++k) |
| | { |
| | cout.width(10); |
| | if(r(k)>=1e6) cout << "-"; |
| | else cout << r(k); |
| | cout << " "; |
| | } |
| | cout << endl; |
| | } |
| |
|
| | |
| | cout << "<table class=\"manual\">" << endl; |
| | cout << "<tr><th>solver/size</th>" << endl; |
| | for(int k=0; k<sizes.size(); ++k) |
| | cout << " <th>" << sizes[k](0) << "x" << sizes[k](1) << "</th>"; |
| | cout << "</tr>" << endl; |
| | for(int i=0; i<labels.size(); ++i) |
| | { |
| | cout << "<tr"; |
| | if(i%2==1) cout << " class=\"alt\""; |
| | cout << "><td>" << labels[i] << "</td>"; |
| | ArrayXf r = (results[labels[i]]*100000.f).floor()/100.f; |
| | for(int k=0; k<sizes.size(); ++k) |
| | { |
| | if(r(k)>=1e6) cout << "<td>-</td>"; |
| | else |
| | { |
| | cout << "<td>" << r(k); |
| | if(i>0) |
| | cout << " (x" << numext::round(10.f*results[labels[i]](k)/results["LLT"](k))/10.f << ")"; |
| | if(i<4 && sizes[k](0)!=sizes[k](1)) |
| | cout << " <sup><a href=\"#note_ls\">*</a></sup>"; |
| | cout << "</td>"; |
| | } |
| | } |
| | cout << "</tr>" << endl; |
| | } |
| | cout << "</table>" << endl; |
| |
|
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | } |
| |
|