henry/SimCore
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

ADD: added other eigen lib

Browse Source
This commit is contained in:
Henry Winkel
2022-12-21 16:19:04 +01:00
parent a570766dc6
commit 9e56c7f2c0
832 changed files with 36586 additions and 20006 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
libs/eigen/bench/dense_solvers.cpp
View File

@@ -38,8 +38,6 @@ void bench(int id, int rows, int size = 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;
@@ -53,8 +51,8 @@ void bench(int id, int rows, int size = Size)
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());
JacobiSVD<MatDyn, ComputeThinU|ComputeThinV> jsvd(A.rows(),A.cols());
BDCSVD<MatDyn, ComputeThinU|ComputeThinV> 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));
@@ -67,9 +65,9 @@ void bench(int id, int rows, int size = Size)
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));
BENCH(t_jsvd, tries, rep, jsvd.compute(A));
// if(size*rows<=20000000)
BENCH(t_bdcsvd, tries, rep, bdcsvd.compute(A,svd_opt));
BENCH(t_bdcsvd, tries, rep, bdcsvd.compute(A));
results["LLT"][id] = t_llt.best();
results["LDLT"][id] = t_ldlt.best();