devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Port SelfCwiseBinaryOp and Dot.h to nvcc, fix portability issue with std::min/max

Browse Source
This commit is contained in:
Gael Guennebaud
2013-04-05 16:35:49 +02:00
parent d93c1c113b
commit 12439e1249
17 changed files with 104 additions and 44 deletions
Download Patch File Download Diff File Expand all files Collapse all files

21
Eigen/src/Core/SelfCwiseBinaryOp.h
View File

@@ -52,21 +52,24 @@ template<typename BinaryOp, typename Lhs, typename Rhs> class SelfCwiseBinaryOp
typedef typename internal::packet_traits<Scalar>::type Packet;
EIGEN_DEVICE_FUNC
inline SelfCwiseBinaryOp(Lhs& xpr, const BinaryOp& func = BinaryOp()) : m_matrix(xpr), m_functor(func) {}
inline Index rows() const { return m_matrix.rows(); }
inline Index cols() const { return m_matrix.cols(); }
inline Index outerStride() const { return m_matrix.outerStride(); }
inline Index innerStride() const { return m_matrix.innerStride(); }
inline const Scalar* data() const { return m_matrix.data(); }
EIGEN_DEVICE_FUNC inline Index rows() const { return m_matrix.rows(); }
EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.cols(); }
EIGEN_DEVICE_FUNC inline Index outerStride() const { return m_matrix.outerStride(); }
EIGEN_DEVICE_FUNC inline Index innerStride() const { return m_matrix.innerStride(); }
EIGEN_DEVICE_FUNC inline const Scalar* data() const { return m_matrix.data(); }
// note that this function is needed by assign to correctly align loads/stores
// TODO make Assign use .data()
EIGEN_DEVICE_FUNC
inline Scalar& coeffRef(Index row, Index col)
{
EIGEN_STATIC_ASSERT_LVALUE(Lhs)
return m_matrix.const_cast_derived().coeffRef(row, col);
}
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index row, Index col) const
{
return m_matrix.coeffRef(row, col);
@@ -74,17 +77,20 @@ template<typename BinaryOp, typename Lhs, typename Rhs> class SelfCwiseBinaryOp
// note that this function is needed by assign to correctly align loads/stores
// TODO make Assign use .data()
EIGEN_DEVICE_FUNC
inline Scalar& coeffRef(Index index)
{
EIGEN_STATIC_ASSERT_LVALUE(Lhs)
return m_matrix.const_cast_derived().coeffRef(index);
}
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index index) const
{
return m_matrix.const_cast_derived().coeffRef(index);
}
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
void copyCoeff(Index row, Index col, const DenseBase<OtherDerived>& other)
{
OtherDerived& _other = other.const_cast_derived();
@@ -95,6 +101,7 @@ template<typename BinaryOp, typename Lhs, typename Rhs> class SelfCwiseBinaryOp
}
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
void copyCoeff(Index index, const DenseBase<OtherDerived>& other)
{
OtherDerived& _other = other.const_cast_derived();
@@ -125,6 +132,7 @@ template<typename BinaryOp, typename Lhs, typename Rhs> class SelfCwiseBinaryOp
// reimplement lazyAssign to handle complex *= real
// see CwiseBinaryOp ctor for details
template<typename RhsDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE SelfCwiseBinaryOp& lazyAssign(const DenseBase<RhsDerived>& rhs)
{
EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs,RhsDerived)
@@ -144,17 +152,20 @@ template<typename BinaryOp, typename Lhs, typename Rhs> class SelfCwiseBinaryOp
// overloaded to honor evaluation of special matrices
// maybe another solution would be to not use SelfCwiseBinaryOp
// at first...
EIGEN_DEVICE_FUNC
SelfCwiseBinaryOp& operator=(const Rhs& _rhs)
{
typename internal::nested<Rhs>::type rhs(_rhs);
return Base::operator=(rhs);
}
EIGEN_DEVICE_FUNC
Lhs& expression() const
{
return m_matrix;
}
EIGEN_DEVICE_FUNC
const BinaryOp& functor() const
{
return m_functor;