GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-08-13 20:26:03 +08:00
Code Issues Packages Projects Releases Wiki Activity

Added missing EIGEN_DEVICE_FUNC

Browse Source
This commit is contained in:
Benoit Steiner 2017-02-28 14:00:15 -08:00
parent de7b0fdea9
commit 4a7df114c8
2 changed files with 9 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
Eigen/src/Core/Assign.h
View File

@ -16,7 +16,7 @@ namespace Eigen {
template<typename Derived> template<typename Derived>
template<typename OtherDerived> template<typename OtherDerived>
EIGEN_STRONG_INLINE Derived& DenseBase<Derived> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase<Derived>
::lazyAssign(const DenseBase<OtherDerived>& other) ::lazyAssign(const DenseBase<OtherDerived>& other)
{ {
enum{ enum{

16
Eigen/src/Core/Dot.h
View File

@ -90,7 +90,7 @@ MatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const
* \sa dot(), norm(), lpNorm() * \sa dot(), norm(), lpNorm()
*/ */
template<typename Derived> template<typename Derived>
EIGEN_STRONG_INLINE typename NumTraits<typename internal::traits<Derived>::Scalar>::Real MatrixBase<Derived>::squaredNorm() const EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename NumTraits<typename internal::traits<Derived>::Scalar>::Real MatrixBase<Derived>::squaredNorm() const
{ {
return numext::real((*this).cwiseAbs2().sum()); return numext::real((*this).cwiseAbs2().sum());
} }
@ -102,7 +102,7 @@ EIGEN_STRONG_INLINE typename NumTraits<typename internal::traits<Derived>::Scala
* \sa lpNorm(), dot(), squaredNorm() * \sa lpNorm(), dot(), squaredNorm()
*/ */
template<typename Derived> template<typename Derived>
inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real MatrixBase<Derived>::norm() const EIGEN_DEVICE_FUNC inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real MatrixBase<Derived>::norm() const
{ {
return numext::sqrt(squaredNorm()); return numext::sqrt(squaredNorm());
} }
@ -117,7 +117,7 @@ inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real Matr
* \sa norm(), normalize() * \sa norm(), normalize()
*/ */
template<typename Derived> template<typename Derived>
inline const typename MatrixBase<Derived>::PlainObject EIGEN_DEVICE_FUNC inline const typename MatrixBase<Derived>::PlainObject
MatrixBase<Derived>::normalized() const MatrixBase<Derived>::normalized() const
{ {
typedef typename internal::nested_eval<Derived,2>::type _Nested; typedef typename internal::nested_eval<Derived,2>::type _Nested;
@ -139,7 +139,7 @@ MatrixBase<Derived>::normalized() const
* \sa norm(), normalized() * \sa norm(), normalized()
*/ */
template<typename Derived> template<typename Derived>
inline void MatrixBase<Derived>::normalize() EIGEN_DEVICE_FUNC inline void MatrixBase<Derived>::normalize()
{ {
RealScalar z = squaredNorm(); RealScalar z = squaredNorm();
// NOTE: after extensive benchmarking, this conditional does not impact performance, at least on recent x86 CPU // NOTE: after extensive benchmarking, this conditional does not impact performance, at least on recent x86 CPU
@ -160,7 +160,7 @@ inline void MatrixBase<Derived>::normalize()
* \sa stableNorm(), stableNormalize(), normalized() * \sa stableNorm(), stableNormalize(), normalized()
*/ */
template<typename Derived> template<typename Derived>
inline const typename MatrixBase<Derived>::PlainObject EIGEN_DEVICE_FUNC inline const typename MatrixBase<Derived>::PlainObject
MatrixBase<Derived>::stableNormalized() const MatrixBase<Derived>::stableNormalized() const
{ {
typedef typename internal::nested_eval<Derived,3>::type _Nested; typedef typename internal::nested_eval<Derived,3>::type _Nested;
@ -185,7 +185,7 @@ MatrixBase<Derived>::stableNormalized() const
* \sa stableNorm(), stableNormalized(), normalize() * \sa stableNorm(), stableNormalized(), normalize()
*/ */
template<typename Derived> template<typename Derived>
inline void MatrixBase<Derived>::stableNormalize() EIGEN_DEVICE_FUNC inline void MatrixBase<Derived>::stableNormalize()
{ {
RealScalar w = cwiseAbs().maxCoeff(); RealScalar w = cwiseAbs().maxCoeff();
RealScalar z = (derived()/w).squaredNorm(); RealScalar z = (derived()/w).squaredNorm();
@ -257,9 +257,9 @@ struct lpNorm_selector<Derived, Infinity>
template<typename Derived> template<typename Derived>
template<int p> template<int p>
#ifndef EIGEN_PARSED_BY_DOXYGEN #ifndef EIGEN_PARSED_BY_DOXYGEN
inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real EIGEN_DEVICE_FUNC inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
#else #else
MatrixBase<Derived>::RealScalar EIGEN_DEVICE_FUNC MatrixBase<Derived>::RealScalar
#endif #endif
MatrixBase<Derived>::lpNorm() const MatrixBase<Derived>::lpNorm() const
{ {