| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2009-2015 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_SPARSE_DIAGONAL_PRODUCT_H |
| #define EIGEN_SPARSE_DIAGONAL_PRODUCT_H |
| |
| #include "./InternalHeaderCheck.h" |
| |
| namespace Eigen { |
| |
| // The product of a diagonal matrix with a sparse matrix can be easily |
| // implemented using expression template. |
| // We have two consider very different cases: |
| // 1 - diag * row-major sparse |
| // => each inner vector <=> scalar * sparse vector product |
| // => so we can reuse CwiseUnaryOp::InnerIterator |
| // 2 - diag * col-major sparse |
| // => each inner vector <=> densevector * sparse vector cwise product |
| // => again, we can reuse specialization of CwiseBinaryOp::InnerIterator |
| // for that particular case |
| // The two other cases are symmetric. |
| |
| namespace internal { |
| |
| enum { |
| SDP_AsScalarProduct, |
| SDP_AsCwiseProduct |
| }; |
| |
| template<typename SparseXprType, typename DiagonalCoeffType, int SDP_Tag> |
| struct sparse_diagonal_product_evaluator; |
| |
| template<typename Lhs, typename Rhs, int ProductTag> |
| struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, ProductTag, DiagonalShape, SparseShape> |
| : public sparse_diagonal_product_evaluator<Rhs, typename Lhs::DiagonalVectorType, Rhs::Flags&RowMajorBit?SDP_AsScalarProduct:SDP_AsCwiseProduct> |
| { |
| typedef Product<Lhs, Rhs, DefaultProduct> XprType; |
| enum { CoeffReadCost = HugeCost, Flags = Rhs::Flags&RowMajorBit, Alignment = 0 }; // FIXME CoeffReadCost & Flags |
| |
| typedef sparse_diagonal_product_evaluator<Rhs, typename Lhs::DiagonalVectorType, Rhs::Flags&RowMajorBit?SDP_AsScalarProduct:SDP_AsCwiseProduct> Base; |
| explicit product_evaluator(const XprType& xpr) : Base(xpr.rhs(), xpr.lhs().diagonal()) {} |
| }; |
| |
| template<typename Lhs, typename Rhs, int ProductTag> |
| struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, ProductTag, SparseShape, DiagonalShape> |
| : public sparse_diagonal_product_evaluator<Lhs, Transpose<const typename Rhs::DiagonalVectorType>, Lhs::Flags&RowMajorBit?SDP_AsCwiseProduct:SDP_AsScalarProduct> |
| { |
| typedef Product<Lhs, Rhs, DefaultProduct> XprType; |
| enum { CoeffReadCost = HugeCost, Flags = Lhs::Flags&RowMajorBit, Alignment = 0 }; // FIXME CoeffReadCost & Flags |
| |
| typedef sparse_diagonal_product_evaluator<Lhs, Transpose<const typename Rhs::DiagonalVectorType>, Lhs::Flags&RowMajorBit?SDP_AsCwiseProduct:SDP_AsScalarProduct> Base; |
| explicit product_evaluator(const XprType& xpr) : Base(xpr.lhs(), xpr.rhs().diagonal().transpose()) {} |
| }; |
| |
| template<typename SparseXprType, typename DiagonalCoeffType> |
| struct sparse_diagonal_product_evaluator<SparseXprType, DiagonalCoeffType, SDP_AsScalarProduct> |
| { |
| protected: |
| typedef typename evaluator<SparseXprType>::InnerIterator SparseXprInnerIterator; |
| typedef typename SparseXprType::Scalar Scalar; |
| |
| public: |
| class InnerIterator : public SparseXprInnerIterator |
| { |
| public: |
| InnerIterator(const sparse_diagonal_product_evaluator &xprEval, Index outer) |
| : SparseXprInnerIterator(xprEval.m_sparseXprImpl, outer), |
| m_coeff(xprEval.m_diagCoeffImpl.coeff(outer)) |
| {} |
| |
| EIGEN_STRONG_INLINE Scalar value() const { return m_coeff * SparseXprInnerIterator::value(); } |
| protected: |
| typename DiagonalCoeffType::Scalar m_coeff; |
| }; |
| |
| sparse_diagonal_product_evaluator(const SparseXprType &sparseXpr, const DiagonalCoeffType &diagCoeff) |
| : m_sparseXprImpl(sparseXpr), m_diagCoeffImpl(diagCoeff) |
| {} |
| |
| Index nonZerosEstimate() const { return m_sparseXprImpl.nonZerosEstimate(); } |
| |
| protected: |
| evaluator<SparseXprType> m_sparseXprImpl; |
| evaluator<DiagonalCoeffType> m_diagCoeffImpl; |
| }; |
| |
| |
| template<typename SparseXprType, typename DiagCoeffType> |
| struct sparse_diagonal_product_evaluator<SparseXprType, DiagCoeffType, SDP_AsCwiseProduct> |
| { |
| typedef typename SparseXprType::Scalar Scalar; |
| typedef typename SparseXprType::StorageIndex StorageIndex; |
| |
| typedef typename nested_eval<DiagCoeffType,SparseXprType::IsRowMajor ? SparseXprType::RowsAtCompileTime |
| : SparseXprType::ColsAtCompileTime>::type DiagCoeffNested; |
| |
| class InnerIterator |
| { |
| typedef typename evaluator<SparseXprType>::InnerIterator SparseXprIter; |
| public: |
| InnerIterator(const sparse_diagonal_product_evaluator &xprEval, Index outer) |
| : m_sparseIter(xprEval.m_sparseXprEval, outer), m_diagCoeffNested(xprEval.m_diagCoeffNested) |
| {} |
| |
| inline Scalar value() const { return m_sparseIter.value() * m_diagCoeffNested.coeff(index()); } |
| inline StorageIndex index() const { return m_sparseIter.index(); } |
| inline Index outer() const { return m_sparseIter.outer(); } |
| inline Index col() const { return SparseXprType::IsRowMajor ? m_sparseIter.index() : m_sparseIter.outer(); } |
| inline Index row() const { return SparseXprType::IsRowMajor ? m_sparseIter.outer() : m_sparseIter.index(); } |
| |
| EIGEN_STRONG_INLINE InnerIterator& operator++() { ++m_sparseIter; return *this; } |
| inline operator bool() const { return m_sparseIter; } |
| |
| protected: |
| SparseXprIter m_sparseIter; |
| DiagCoeffNested m_diagCoeffNested; |
| }; |
| |
| sparse_diagonal_product_evaluator(const SparseXprType &sparseXpr, const DiagCoeffType &diagCoeff) |
| : m_sparseXprEval(sparseXpr), m_diagCoeffNested(diagCoeff) |
| {} |
| |
| Index nonZerosEstimate() const { return m_sparseXprEval.nonZerosEstimate(); } |
| |
| protected: |
| evaluator<SparseXprType> m_sparseXprEval; |
| DiagCoeffNested m_diagCoeffNested; |
| }; |
| |
| } // end namespace internal |
| |
| } // end namespace Eigen |
| |
| #endif // EIGEN_SPARSE_DIAGONAL_PRODUCT_H |