| #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; | |
| // rep = rep*rep; | |
| 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) // JacobiSVD is really too slow for too large matrices | |
| BENCH(t_jsvd, tries, rep, jsvd.compute(A,svd_opt)); | |
| // if(size*rows<=20000000) | |
| 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; | |
| } | |
| // HTML output | |
| 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; | |
| // cout << "LLT (ms) " << (results["LLT"]*1000.).format(fmt) << "\n"; | |
| // cout << "LDLT (%) " << (results["LDLT"]/results["LLT"]).format(fmt) << "\n"; | |
| // cout << "PartialPivLU (%) " << (results["PartialPivLU"]/results["LLT"]).format(fmt) << "\n"; | |
| // cout << "FullPivLU (%) " << (results["FullPivLU"]/results["LLT"]).format(fmt) << "\n"; | |
| // cout << "HouseholderQR (%) " << (results["HouseholderQR"]/results["LLT"]).format(fmt) << "\n"; | |
| // cout << "ColPivHouseholderQR (%) " << (results["ColPivHouseholderQR"]/results["LLT"]).format(fmt) << "\n"; | |
| // cout << "CompleteOrthogonalDecomposition (%) " << (results["CompleteOrthogonalDecomposition"]/results["LLT"]).format(fmt) << "\n"; | |
| // cout << "FullPivHouseholderQR (%) " << (results["FullPivHouseholderQR"]/results["LLT"]).format(fmt) << "\n"; | |
| // cout << "JacobiSVD (%) " << (results["JacobiSVD"]/results["LLT"]).format(fmt) << "\n"; | |
| // cout << "BDCSVD (%) " << (results["BDCSVD"]/results["LLT"]).format(fmt) << "\n"; | |
| } |