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authorGravatar Christoph Hertzberg <chtz@informatik.uni-bremen.de>2014-10-13 17:18:26 +0200
committerGravatar Christoph Hertzberg <chtz@informatik.uni-bremen.de>2014-10-13 17:18:26 +0200
commitd3f52debc6c45d1f26bb9406207ebc5a8638a429 (patch)
tree13d7f11f39832cc6a0937128193dc97c52276b97 /Eigen/src/Core/Redux.h
parenta80e17cfe86c5803965dd002c8bd9c5b80591135 (diff)
Make cuda_basic test compile again by adding lots of EIGEN_DEVICE_FUNC.
Although the test passes now, there might still be some missing.
Diffstat (limited to 'Eigen/src/Core/Redux.h')
-rw-r--r--Eigen/src/Core/Redux.h19
1 files changed, 11 insertions, 8 deletions
diff --git a/Eigen/src/Core/Redux.h b/Eigen/src/Core/Redux.h
index 14a2671e9..f6546917e 100644
--- a/Eigen/src/Core/Redux.h
+++ b/Eigen/src/Core/Redux.h
@@ -277,7 +277,7 @@ struct redux_impl<Func, Derived, SliceVectorizedTraversal, NoUnrolling>
typedef typename packet_traits<Scalar>::type PacketScalar;
typedef typename Derived::Index Index;
- static Scalar run(const Derived &mat, const Func& func)
+ EIGEN_DEVICE_FUNC static Scalar run(const Derived &mat, const Func& func)
{
eigen_assert(mat.rows()>0 && mat.cols()>0 && "you are using an empty matrix");
const Index innerSize = mat.innerSize();
@@ -319,7 +319,7 @@ struct redux_impl<Func, Derived, LinearVectorizedTraversal, CompleteUnrolling>
Size = Derived::SizeAtCompileTime,
VectorizedSize = (Size / PacketSize) * PacketSize
};
- static EIGEN_STRONG_INLINE Scalar run(const Derived &mat, const Func& func)
+ EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Scalar run(const Derived &mat, const Func& func)
{
eigen_assert(mat.rows()>0 && mat.cols()>0 && "you are using an empty matrix");
if (VectorizedSize > 0) {
@@ -340,7 +340,7 @@ class redux_evaluator
{
public:
typedef _XprType XprType;
- explicit redux_evaluator(const XprType &xpr) : m_evaluator(xpr), m_xpr(xpr) {}
+ EIGEN_DEVICE_FUNC explicit redux_evaluator(const XprType &xpr) : m_evaluator(xpr), m_xpr(xpr) {}
typedef typename XprType::Index Index;
typedef typename XprType::Scalar Scalar;
@@ -359,15 +359,17 @@ public:
CoeffReadCost = evaluator<XprType>::CoeffReadCost
};
- Index rows() const { return m_xpr.rows(); }
- Index cols() const { return m_xpr.cols(); }
- Index size() const { return m_xpr.size(); }
- Index innerSize() const { return m_xpr.innerSize(); }
- Index outerSize() const { return m_xpr.outerSize(); }
+ EIGEN_DEVICE_FUNC Index rows() const { return m_xpr.rows(); }
+ EIGEN_DEVICE_FUNC Index cols() const { return m_xpr.cols(); }
+ EIGEN_DEVICE_FUNC Index size() const { return m_xpr.size(); }
+ EIGEN_DEVICE_FUNC Index innerSize() const { return m_xpr.innerSize(); }
+ EIGEN_DEVICE_FUNC Index outerSize() const { return m_xpr.outerSize(); }
+ EIGEN_DEVICE_FUNC
CoeffReturnType coeff(Index row, Index col) const
{ return m_evaluator.coeff(row, col); }
+ EIGEN_DEVICE_FUNC
CoeffReturnType coeff(Index index) const
{ return m_evaluator.coeff(index); }
@@ -379,6 +381,7 @@ public:
PacketReturnType packet(Index index) const
{ return m_evaluator.template packet<LoadMode>(index); }
+ EIGEN_DEVICE_FUNC
CoeffReturnType coeffByOuterInner(Index outer, Index inner) const
{ return m_evaluator.coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }