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Limit matrix size when testing for NaN: they can become prohibitively expensive when running on x87 fp unit

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This commit is contained in:
Gael Guennebaud 2015-10-30 14:44:22 +01:00
parent ddaaa2d381
commit 9285647dfe
2 changed files with 3 additions and 3 deletions
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2
test/eigensolver_selfadjoint.cpp
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@ -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();

2
test/schur_complex.cpp
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@ -70,7 +70,7 @@ template<typename MatrixType> void schur(int size = MatrixType::ColsAtCompileTim
VERIFY_IS_EQUAL(cs1.matrixT(), csOnlyT.matrixT());
VERIFY_RAISES_ASSERT(csOnlyT.matrixU());
if (size > 1)
if (size > 1 && size < 20)
{
// Test matrix with NaN
A(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN();