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authorYi Kong <yikong@google.com>2022-02-25 17:02:53 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>2022-02-25 17:02:53 +0000
commitedb0ad5bb04b48aab7dd0978f0475edd3550de7c (patch)
treefb979fb4cf4f8052c8cc66b1ec9516d91fcd859b /Eigen/src/SuperLUSupport/SuperLUSupport.h
parent8fd413e275f78a4c240f1442ce5cf77c73a20a55 (diff)
parentbc0f5df265caa21a2120c22453655a7fcc941991 (diff)
downloadeigen-aml_uwb_331410010.tar.gz
Original change: https://android-review.googlesource.com/c/platform/external/eigen/+/1999079 Change-Id: Ife39d10c8b23d3eeb174cd52f462f9d20527ad03
Diffstat (limited to 'Eigen/src/SuperLUSupport/SuperLUSupport.h')
-rw-r--r--Eigen/src/SuperLUSupport/SuperLUSupport.h18
1 files changed, 8 insertions, 10 deletions
diff --git a/Eigen/src/SuperLUSupport/SuperLUSupport.h b/Eigen/src/SuperLUSupport/SuperLUSupport.h
index 50a69f306..d1d3ad7f1 100644
--- a/Eigen/src/SuperLUSupport/SuperLUSupport.h
+++ b/Eigen/src/SuperLUSupport/SuperLUSupport.h
@@ -217,12 +217,12 @@ struct SluMatrix : SuperMatrix
res.setScalarType<typename MatrixType::Scalar>();
// FIXME the following is not very accurate
- if (MatrixType::Flags & Upper)
+ if (int(MatrixType::Flags) & int(Upper))
res.Mtype = SLU_TRU;
- if (MatrixType::Flags & Lower)
+ if (int(MatrixType::Flags) & int(Lower))
res.Mtype = SLU_TRL;
- eigen_assert(((MatrixType::Flags & SelfAdjoint)==0) && "SelfAdjoint matrix shape not supported by SuperLU");
+ eigen_assert(((int(MatrixType::Flags) & int(SelfAdjoint))==0) && "SelfAdjoint matrix shape not supported by SuperLU");
return res;
}
@@ -297,8 +297,8 @@ SluMatrix asSluMatrix(MatrixType& mat)
template<typename Scalar, int Flags, typename Index>
MappedSparseMatrix<Scalar,Flags,Index> map_superlu(SluMatrix& sluMat)
{
- eigen_assert((Flags&RowMajor)==RowMajor && sluMat.Stype == SLU_NR
- || (Flags&ColMajor)==ColMajor && sluMat.Stype == SLU_NC);
+ eigen_assert(((Flags&RowMajor)==RowMajor && sluMat.Stype == SLU_NR)
+ || ((Flags&ColMajor)==ColMajor && sluMat.Stype == SLU_NC));
Index outerSize = (Flags&RowMajor)==RowMajor ? sluMat.ncol : sluMat.nrow;
@@ -352,7 +352,7 @@ class SuperLUBase : public SparseSolverBase<Derived>
/** \brief Reports whether previous computation was successful.
*
- * \returns \c Success if computation was succesful,
+ * \returns \c Success if computation was successful,
* \c NumericalIssue if the matrix.appears to be negative.
*/
ComputationInfo info() const
@@ -650,9 +650,8 @@ void SuperLU<MatrixType>::_solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest>
{
eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or analyzePattern()/factorize()");
- const Index size = m_matrix.rows();
const Index rhsCols = b.cols();
- eigen_assert(size==b.rows());
+ eigen_assert(m_matrix.rows()==b.rows());
m_sluOptions.Trans = NOTRANS;
m_sluOptions.Fact = FACTORED;
@@ -974,9 +973,8 @@ void SuperILU<MatrixType>::_solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest
{
eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or analyzePattern()/factorize()");
- const int size = m_matrix.rows();
const int rhsCols = b.cols();
- eigen_assert(size==b.rows());
+ eigen_assert(m_matrix.rows()==b.rows());
m_sluOptions.Trans = NOTRANS;
m_sluOptions.Fact = FACTORED;