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| author |  Gael Guennebaud <g.gael@free.fr> | 2015-10-30 14:44:22 +0100 |
|---|---|---|
| committer | Gael Guennebaud <g.gael@free.fr> | 2015-10-30 14:44:22 +0100 |
| commit | 9285647dfe91c2fe3db112e71b219ee16db81e87 (patch) | |
| tree | bc25a3b6031b7b52df022a0e13a51cb79a8853c7 /test/eigensolver_selfadjoint.cpp | |
| parent | ddaaa2d38184680e0e2cf8e26eaf4c1b0b8fa8fc (diff) | |
Limit matrix size when testing for NaN: they can become prohibitively expensive when running on x87 fp unit
Diffstat (limited to 'test/eigensolver_selfadjoint.cpp')
| -rw-r--r-- | test/eigensolver_selfadjoint.cpp | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/test/eigensolver_selfadjoint.cpp b/test/eigensolver_selfadjoint.cpp index a7b4deb5d..f909761a1 100644 --- a/test/eigensolver_selfadjoint.cpp +++ b/test/eigensolver_selfadjoint.cpp @@ -149,7 +149,7 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m) VERIFY_IS_APPROX(tridiag.matrixT(), eiSymmTridiag.eigenvectors().real() * eiSymmTridiag.eigenvalues().asDiagonal() * eiSymmTridiag.eigenvectors().real().transpose()); } - if (rows > 1) + if (rows > 1 && rows < 20) { // Test matrix with NaN symmC(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN(); |