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-rw-r--r--Eigen/src/SVD/JacobiSVD.h9
1 files changed, 8 insertions, 1 deletions
diff --git a/Eigen/src/SVD/JacobiSVD.h b/Eigen/src/SVD/JacobiSVD.h
index 2b6891105..a22a2e5c3 100644
--- a/Eigen/src/SVD/JacobiSVD.h
+++ b/Eigen/src/SVD/JacobiSVD.h
@@ -585,6 +585,7 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
using Base::m_matrixU;
using Base::m_matrixV;
using Base::m_singularValues;
+ using Base::m_info;
using Base::m_isInitialized;
using Base::m_isAllocated;
using Base::m_usePrescribedThreshold;
@@ -625,6 +626,7 @@ void JacobiSVD<MatrixType, QRPreconditioner>::allocate(Eigen::Index rows, Eigen:
m_rows = rows;
m_cols = cols;
+ m_info = Success;
m_isInitialized = false;
m_isAllocated = true;
m_computationOptions = computationOptions;
@@ -674,7 +676,12 @@ JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType& matrix, unsig
const RealScalar considerAsZero = (std::numeric_limits<RealScalar>::min)();
// Scaling factor to reduce over/under-flows
- RealScalar scale = matrix.cwiseAbs().maxCoeff();
+ RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
+ if (!(numext::isfinite)(scale)) {
+ m_isInitialized = true;
+ m_info = InvalidInput;
+ return *this;
+ }
if(scale==RealScalar(0)) scale = RealScalar(1);
/*** step 1. The R-SVD step: we use a QR decomposition to reduce to the case of a square matrix */