|Summary:||SelfAdjointEigenSolver gives wrong results for RowMajor matrices when using MKL|
|Product:||Eigen||Reporter:||Björn Barz <bjoern.barz>|
|Severity:||Wrong Result||CC:||chtz, gael.guennebaud, jacob.benoit.1, jitseniesen|
|Version:||3.3 (current stable)|
|Hardware:||x86 - 64-bit|
Description Björn Barz 2017-10-16 12:15:51 UTC
Created attachment 796 [details] Minimal failing example When defining EIGEN_USE_MKL and EIGEN_USE_MKL_ALL and linking against Intel MKL 2018.0, SelfAdjointEigenSolver will give wrong results for RowMajor matrices. Attached is a minimal test case. It computes eigenvectors two times for the same matrix, one time stored in column-major order, the second time in row-major order. When compiled without MKL support, both results are equal. With MKL enabled, however, the result for the row-major matrix is the transpose of the correct result.
Comment 1 Nobody 2019-12-04 17:13:56 UTC
-- GitLab Migration Automatic Message -- This bug has been migrated to gitlab.com's GitLab instance and has been closed from further activity. You can subscribe and participate further through the new bug through this link to our GitLab instance: https://gitlab.com/libeigen/eigen/issues/1476.