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Extend CUDA support to matrix inversion and selfadjointeigensolver

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This commit is contained in:
Andrea Bocci
2018-06-11 18:33:24 +02:00
parent 0537123953
commit f7124b3e46
27 changed files with 200 additions and 74 deletions
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8
Eigen/src/Core/MatrixBase.h
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@@ -328,6 +328,7 @@ template<typename Derived> class MatrixBase
inline const PartialPivLU<PlainObject> lu() const;
EIGEN_DEVICE_FUNC
inline const Inverse<Derived> inverse() const;
template<typename ResultType>
@@ -337,12 +338,15 @@ template<typename Derived> class MatrixBase
bool& invertible,
const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision()
) const;
template<typename ResultType>
inline void computeInverseWithCheck(
ResultType& inverse,
bool& invertible,
const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision()
) const;
EIGEN_DEVICE_FUNC
Scalar determinant() const;
/////////// Cholesky module ///////////
@@ -414,15 +418,19 @@ template<typename Derived> class MatrixBase
////////// Householder module ///////////
EIGEN_DEVICE_FUNC
void makeHouseholderInPlace(Scalar& tau, RealScalar& beta);
template<typename EssentialPart>
EIGEN_DEVICE_FUNC
void makeHouseholder(EssentialPart& essential,
Scalar& tau, RealScalar& beta) const;
template<typename EssentialPart>
EIGEN_DEVICE_FUNC
void applyHouseholderOnTheLeft(const EssentialPart& essential,
const Scalar& tau,
Scalar* workspace);
template<typename EssentialPart>
EIGEN_DEVICE_FUNC
void applyHouseholderOnTheRight(const EssentialPart& essential,
const Scalar& tau,
Scalar* workspace);