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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Gael Guennebaud <g.gael@free.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_SELFCWISEBINARYOP_H
#define EIGEN_SELFCWISEBINARYOP_H
/** \class SelfCwiseBinaryOp
*
* \internal
*
* \brief Internal helper class for optimizing operators like +=, -=
*/
template<typename BinaryOp, typename MatrixType>
struct ei_traits<SelfCwiseBinaryOp<BinaryOp,MatrixType> > : ei_traits<MatrixType> {};
template<typename BinaryOp, typename MatrixType> class SelfCwiseBinaryOp
: public MatrixBase<SelfCwiseBinaryOp<BinaryOp,MatrixType> >
{
public:
EIGEN_GENERIC_PUBLIC_INTERFACE(SelfCwiseBinaryOp)
typedef typename ei_packet_traits<Scalar>::type Packet;
using Base::operator=;
inline SelfCwiseBinaryOp(MatrixType& xpr, const BinaryOp& func = BinaryOp()) : m_matrix(xpr), m_functor(func) {}
inline int rows() const { return m_matrix.rows(); }
inline int cols() const { return m_matrix.cols(); }
inline int stride() const { return m_matrix.stride(); }
// note that this function is needed by assign to correctly align loads/stores
// TODO make Assign use .data()
inline Scalar& coeffRef(int row, int col)
{
return m_matrix.const_cast_derived().coeffRef(row, col);
}
// note that this function is needed by assign to correctly align loads/stores
// TODO make Assign use .data()
inline Scalar& coeffRef(int index)
{
return m_matrix.const_cast_derived().coeffRef(index);
}
template<typename OtherDerived>
void copyCoeff(int row, int col, const MatrixBase<OtherDerived>& other)
{
OtherDerived& _other = other.const_cast_derived();
ei_internal_assert(row >= 0 && row < rows()
&& col >= 0 && col < cols());
Scalar& tmp = m_matrix.coeffRef(row,col);
tmp = m_functor(tmp, _other.coeff(row,col));
}
template<typename OtherDerived>
void copyCoeff(int index, const MatrixBase<OtherDerived>& other)
{
OtherDerived& _other = other.const_cast_derived();
ei_internal_assert(index >= 0 && index < m_matrix.size());
Scalar& tmp = m_matrix.coeffRef(index);
tmp = m_functor(tmp, _other.coeff(index));
}
template<typename OtherDerived, int StoreMode, int LoadMode>
void copyPacket(int row, int col, const MatrixBase<OtherDerived>& other)
{
OtherDerived& _other = other.const_cast_derived();
ei_internal_assert(row >= 0 && row < rows()
&& col >= 0 && col < cols());
m_matrix.template writePacket<StoreMode>(row, col,
m_functor.packetOp(m_matrix.template packet<StoreMode>(row, col),_other.template packet<LoadMode>(row, col)) );
}
template<typename OtherDerived, int StoreMode, int LoadMode>
void copyPacket(int index, const MatrixBase<OtherDerived>& other)
{
OtherDerived& _other = other.const_cast_derived();
ei_internal_assert(index >= 0 && index < m_matrix.size());
m_matrix.template writePacket<StoreMode>(index,
m_functor.packetOp(m_matrix.template packet<StoreMode>(index),_other.template packet<LoadMode>(index)) );
}
protected:
MatrixType& m_matrix;
const BinaryOp& m_functor;
private:
SelfCwiseBinaryOp& operator=(const SelfCwiseBinaryOp&);
};
#endif // EIGEN_SELFCWISEBINARYOP_H
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