diff options
Diffstat (limited to 'test/jacobisvd.cpp')
-rw-r--r-- | test/jacobisvd.cpp | 16 |
1 files changed, 14 insertions, 2 deletions
diff --git a/test/jacobisvd.cpp b/test/jacobisvd.cpp index 212f7f1d7..79a05b368 100644 --- a/test/jacobisvd.cpp +++ b/test/jacobisvd.cpp @@ -209,18 +209,30 @@ void jacobisvd_method() VERIFY_IS_APPROX(m.jacobiSvd(ComputeFullU|ComputeFullV).solve(m), m); } +// work around stupid msvc error when constructing at compile time an expression that involves +// a division by zero, even if the numeric type has floating point +template<typename Scalar> +EIGEN_DONT_INLINE Scalar zero() { return Scalar(0); } + template<typename MatrixType> void jacobisvd_inf_nan() { + // all this function does is verify we don't iterate infinitely on nan/inf values + JacobiSVD<MatrixType> svd; typedef typename MatrixType::Scalar Scalar; - Scalar some_inf = Scalar(1) / Scalar(0); + Scalar some_inf = Scalar(1) / zero<Scalar>(); + VERIFY((some_inf - some_inf) != (some_inf - some_inf)); svd.compute(MatrixType::Constant(10,10,some_inf), ComputeFullU | ComputeFullV); - Scalar some_nan = Scalar(0) / Scalar(0); + + Scalar some_nan = zero<Scalar>() / zero<Scalar>(); + VERIFY(some_nan != some_nan); svd.compute(MatrixType::Constant(10,10,some_nan), ComputeFullU | ComputeFullV); + MatrixType m = MatrixType::Zero(10,10); m(ei_random<int>(0,9), ei_random<int>(0,9)) = some_inf; svd.compute(m, ComputeFullU | ComputeFullV); + m = MatrixType::Zero(10,10); m(ei_random<int>(0,9), ei_random<int>(0,9)) = some_nan; svd.compute(m, ComputeFullU | ComputeFullV); |