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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SPARSEDENSEPRODUCT_H
#define EIGEN_SPARSEDENSEPRODUCT_H
namespace Eigen {
template<typename Lhs, typename Rhs, int InnerSize> struct SparseDenseProductReturnType
{
typedef SparseTimeDenseProduct<Lhs,Rhs> Type;
};
template<typename Lhs, typename Rhs> struct SparseDenseProductReturnType<Lhs,Rhs,1>
{
typedef SparseDenseOuterProduct<Lhs,Rhs,false> Type;
};
template<typename Lhs, typename Rhs, int InnerSize> struct DenseSparseProductReturnType
{
typedef DenseTimeSparseProduct<Lhs,Rhs> Type;
};
template<typename Lhs, typename Rhs> struct DenseSparseProductReturnType<Lhs,Rhs,1>
{
typedef SparseDenseOuterProduct<Rhs,Lhs,true> Type;
};
namespace internal {
template<typename Lhs, typename Rhs, bool Tr>
struct traits<SparseDenseOuterProduct<Lhs,Rhs,Tr> >
{
typedef Sparse StorageKind;
typedef typename scalar_product_traits<typename traits<Lhs>::Scalar,
typename traits<Rhs>::Scalar>::ReturnType Scalar;
typedef typename Lhs::Index Index;
typedef typename Lhs::Nested LhsNested;
typedef typename Rhs::Nested RhsNested;
typedef typename remove_all<LhsNested>::type _LhsNested;
typedef typename remove_all<RhsNested>::type _RhsNested;
enum {
LhsCoeffReadCost = traits<_LhsNested>::CoeffReadCost,
RhsCoeffReadCost = traits<_RhsNested>::CoeffReadCost,
RowsAtCompileTime = Tr ? int(traits<Rhs>::RowsAtCompileTime) : int(traits<Lhs>::RowsAtCompileTime),
ColsAtCompileTime = Tr ? int(traits<Lhs>::ColsAtCompileTime) : int(traits<Rhs>::ColsAtCompileTime),
MaxRowsAtCompileTime = Tr ? int(traits<Rhs>::MaxRowsAtCompileTime) : int(traits<Lhs>::MaxRowsAtCompileTime),
MaxColsAtCompileTime = Tr ? int(traits<Lhs>::MaxColsAtCompileTime) : int(traits<Rhs>::MaxColsAtCompileTime),
Flags = Tr ? RowMajorBit : 0,
CoeffReadCost = LhsCoeffReadCost + RhsCoeffReadCost + NumTraits<Scalar>::MulCost
};
};
} // end namespace internal
template<typename Lhs, typename Rhs, bool Tr>
class SparseDenseOuterProduct
: public SparseMatrixBase<SparseDenseOuterProduct<Lhs,Rhs,Tr> >
{
public:
typedef SparseMatrixBase<SparseDenseOuterProduct> Base;
EIGEN_DENSE_PUBLIC_INTERFACE(SparseDenseOuterProduct)
typedef internal::traits<SparseDenseOuterProduct> Traits;
private:
typedef typename Traits::LhsNested LhsNested;
typedef typename Traits::RhsNested RhsNested;
typedef typename Traits::_LhsNested _LhsNested;
typedef typename Traits::_RhsNested _RhsNested;
public:
class InnerIterator;
EIGEN_STRONG_INLINE SparseDenseOuterProduct(const Lhs& lhs, const Rhs& rhs)
: m_lhs(lhs), m_rhs(rhs)
{
EIGEN_STATIC_ASSERT(!Tr,YOU_MADE_A_PROGRAMMING_MISTAKE);
}
EIGEN_STRONG_INLINE SparseDenseOuterProduct(const Rhs& rhs, const Lhs& lhs)
: m_lhs(lhs), m_rhs(rhs)
{
EIGEN_STATIC_ASSERT(Tr,YOU_MADE_A_PROGRAMMING_MISTAKE);
}
EIGEN_STRONG_INLINE Index rows() const { return Tr ? m_rhs.rows() : m_lhs.rows(); }
EIGEN_STRONG_INLINE Index cols() const { return Tr ? m_lhs.cols() : m_rhs.cols(); }
EIGEN_STRONG_INLINE const _LhsNested& lhs() const { return m_lhs; }
EIGEN_STRONG_INLINE const _RhsNested& rhs() const { return m_rhs; }
protected:
LhsNested m_lhs;
RhsNested m_rhs;
};
template<typename Lhs, typename Rhs, bool Transpose>
class SparseDenseOuterProduct<Lhs,Rhs,Transpose>::InnerIterator : public _LhsNested::InnerIterator
{
typedef typename _LhsNested::InnerIterator Base;
typedef typename SparseDenseOuterProduct::Index Index;
public:
EIGEN_STRONG_INLINE InnerIterator(const SparseDenseOuterProduct& prod, Index outer)
: Base(prod.lhs(), 0), m_outer(outer), m_factor(prod.rhs().coeff(outer))
{
}
inline Index outer() const { return m_outer; }
inline Index row() const { return Transpose ? Base::row() : m_outer; }
inline Index col() const { return Transpose ? m_outer : Base::row(); }
inline Scalar value() const { return Base::value() * m_factor; }
protected:
Index m_outer;
Scalar m_factor;
};
namespace internal {
template<typename Lhs, typename Rhs>
struct traits<SparseTimeDenseProduct<Lhs,Rhs> >
: traits<ProductBase<SparseTimeDenseProduct<Lhs,Rhs>, Lhs, Rhs> >
{
typedef Dense StorageKind;
typedef MatrixXpr XprKind;
};
template<typename SparseLhsType, typename DenseRhsType, typename DenseResType,
typename AlphaType,
int LhsStorageOrder = ((SparseLhsType::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor,
bool ColPerCol = ((DenseRhsType::Flags&RowMajorBit)==0) || DenseRhsType::ColsAtCompileTime==1>
struct sparse_time_dense_product_impl;
template<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, typename DenseResType::Scalar, RowMajor, true>
{
typedef typename internal::remove_all<SparseLhsType>::type Lhs;
typedef typename internal::remove_all<DenseRhsType>::type Rhs;
typedef typename internal::remove_all<DenseResType>::type Res;
typedef typename Lhs::Index Index;
typedef typename Lhs::InnerIterator LhsInnerIterator;
static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
{
for(Index c=0; c<rhs.cols(); ++c)
{
Index n = lhs.outerSize();
for(Index j=0; j<n; ++j)
{
typename Res::Scalar tmp(0);
for(LhsInnerIterator it(lhs,j); it ;++it)
tmp += it.value() * rhs.coeff(it.index(),c);
res.coeffRef(j,c) = alpha * tmp;
}
}
}
};
template<typename T1, typename T2/*, int _Options, typename _StrideType*/>
struct scalar_product_traits<T1, Ref<T2/*, _Options, _StrideType*/> >
{
enum {
Defined = 1
};
typedef typename CwiseUnaryOp<scalar_multiple2_op<T1, typename T2::Scalar>, T2>::PlainObject ReturnType;
};
template<typename SparseLhsType, typename DenseRhsType, typename DenseResType, typename AlphaType>
struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, AlphaType, ColMajor, true>
{
typedef typename internal::remove_all<SparseLhsType>::type Lhs;
typedef typename internal::remove_all<DenseRhsType>::type Rhs;
typedef typename internal::remove_all<DenseResType>::type Res;
typedef typename Lhs::InnerIterator LhsInnerIterator;
typedef typename Lhs::Index Index;
static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const AlphaType& alpha)
{
for(Index c=0; c<rhs.cols(); ++c)
{
for(Index j=0; j<lhs.outerSize(); ++j)
{
// typename Res::Scalar rhs_j = alpha * rhs.coeff(j,c);
typename internal::scalar_product_traits<AlphaType, typename Rhs::Scalar>::ReturnType rhs_j(alpha * rhs.coeff(j,c));
for(LhsInnerIterator it(lhs,j); it ;++it)
res.coeffRef(it.index(),c) += it.value() * rhs_j;
}
}
}
};
template<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, typename DenseResType::Scalar, RowMajor, false>
{
typedef typename internal::remove_all<SparseLhsType>::type Lhs;
typedef typename internal::remove_all<DenseRhsType>::type Rhs;
typedef typename internal::remove_all<DenseResType>::type Res;
typedef typename Lhs::InnerIterator LhsInnerIterator;
typedef typename Lhs::Index Index;
static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
{
for(Index j=0; j<lhs.outerSize(); ++j)
{
typename Res::RowXpr res_j(res.row(j));
for(LhsInnerIterator it(lhs,j); it ;++it)
res_j += (alpha*it.value()) * rhs.row(it.index());
}
}
};
template<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, typename DenseResType::Scalar, ColMajor, false>
{
typedef typename internal::remove_all<SparseLhsType>::type Lhs;
typedef typename internal::remove_all<DenseRhsType>::type Rhs;
typedef typename internal::remove_all<DenseResType>::type Res;
typedef typename Lhs::InnerIterator LhsInnerIterator;
typedef typename Lhs::Index Index;
static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
{
for(Index j=0; j<lhs.outerSize(); ++j)
{
typename Rhs::ConstRowXpr rhs_j(rhs.row(j));
for(LhsInnerIterator it(lhs,j); it ;++it)
res.row(it.index()) += (alpha*it.value()) * rhs_j;
}
}
};
template<typename SparseLhsType, typename DenseRhsType, typename DenseResType,typename AlphaType>
inline void sparse_time_dense_product(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const AlphaType& alpha)
{
sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, AlphaType>::run(lhs, rhs, res, alpha);
}
} // end namespace internal
template<typename Lhs, typename Rhs>
class SparseTimeDenseProduct
: public ProductBase<SparseTimeDenseProduct<Lhs,Rhs>, Lhs, Rhs>
{
public:
EIGEN_PRODUCT_PUBLIC_INTERFACE(SparseTimeDenseProduct)
SparseTimeDenseProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
{}
template<typename Dest> void scaleAndAddTo(Dest& dest, const Scalar& alpha) const
{
internal::sparse_time_dense_product(m_lhs, m_rhs, dest, alpha);
}
private:
SparseTimeDenseProduct& operator=(const SparseTimeDenseProduct&);
};
// dense = dense * sparse
namespace internal {
template<typename Lhs, typename Rhs>
struct traits<DenseTimeSparseProduct<Lhs,Rhs> >
: traits<ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs> >
{
typedef Dense StorageKind;
};
} // end namespace internal
template<typename Lhs, typename Rhs>
class DenseTimeSparseProduct
: public ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs>
{
public:
EIGEN_PRODUCT_PUBLIC_INTERFACE(DenseTimeSparseProduct)
DenseTimeSparseProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
{}
template<typename Dest> void scaleAndAddTo(Dest& dest, const Scalar& alpha) const
{
Transpose<const _LhsNested> lhs_t(m_lhs);
Transpose<const _RhsNested> rhs_t(m_rhs);
Transpose<Dest> dest_t(dest);
internal::sparse_time_dense_product(rhs_t, lhs_t, dest_t, alpha);
}
private:
DenseTimeSparseProduct& operator=(const DenseTimeSparseProduct&);
};
// sparse * dense
template<typename Derived>
template<typename OtherDerived>
inline const typename SparseDenseProductReturnType<Derived,OtherDerived>::Type
SparseMatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
{
return typename SparseDenseProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
}
} // end namespace Eigen
#endif // EIGEN_SPARSEDENSEPRODUCT_H