// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2008-2011 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_PRODUCT_H #define EIGEN_PRODUCT_H namespace Eigen { template<typename Lhs, typename Rhs, int Option, typename StorageKind> class ProductImpl; namespace internal { template<typename Lhs, typename Rhs, int Option> struct traits<Product<Lhs, Rhs, Option> > { typedef typename remove_all<Lhs>::type LhsCleaned; typedef typename remove_all<Rhs>::type RhsCleaned; typedef traits<LhsCleaned> LhsTraits; typedef traits<RhsCleaned> RhsTraits; typedef MatrixXpr XprKind; typedef typename ScalarBinaryOpTraits<typename traits<LhsCleaned>::Scalar, typename traits<RhsCleaned>::Scalar>::ReturnType Scalar; typedef typename product_promote_storage_type<typename LhsTraits::StorageKind, typename RhsTraits::StorageKind, internal::product_type<Lhs,Rhs>::ret>::ret StorageKind; typedef typename promote_index_type<typename LhsTraits::StorageIndex, typename RhsTraits::StorageIndex>::type StorageIndex; enum { RowsAtCompileTime = LhsTraits::RowsAtCompileTime, ColsAtCompileTime = RhsTraits::ColsAtCompileTime, MaxRowsAtCompileTime = LhsTraits::MaxRowsAtCompileTime, MaxColsAtCompileTime = RhsTraits::MaxColsAtCompileTime, // FIXME: only needed by GeneralMatrixMatrixTriangular InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(LhsTraits::ColsAtCompileTime, RhsTraits::RowsAtCompileTime), // The storage order is somewhat arbitrary here. The correct one will be determined through the evaluator. Flags = (MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1) ? RowMajorBit : (MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1) ? 0 : ( ((LhsTraits::Flags&NoPreferredStorageOrderBit) && (RhsTraits::Flags&RowMajorBit)) || ((RhsTraits::Flags&NoPreferredStorageOrderBit) && (LhsTraits::Flags&RowMajorBit)) ) ? RowMajorBit : NoPreferredStorageOrderBit }; }; } // end namespace internal /** \class Product * \ingroup Core_Module * * \brief Expression of the product of two arbitrary matrices or vectors * * \tparam _Lhs the type of the left-hand side expression * \tparam _Rhs the type of the right-hand side expression * * This class represents an expression of the product of two arbitrary matrices. * * The other template parameters are: * \tparam Option can be DefaultProduct, AliasFreeProduct, or LazyProduct * */ template<typename _Lhs, typename _Rhs, int Option> class Product : public ProductImpl<_Lhs,_Rhs,Option, typename internal::product_promote_storage_type<typename internal::traits<_Lhs>::StorageKind, typename internal::traits<_Rhs>::StorageKind, internal::product_type<_Lhs,_Rhs>::ret>::ret> { public: typedef _Lhs Lhs; typedef _Rhs Rhs; typedef typename ProductImpl< Lhs, Rhs, Option, typename internal::product_promote_storage_type<typename internal::traits<Lhs>::StorageKind, typename internal::traits<Rhs>::StorageKind, internal::product_type<Lhs,Rhs>::ret>::ret>::Base Base; EIGEN_GENERIC_PUBLIC_INTERFACE(Product) typedef typename internal::ref_selector<Lhs>::type LhsNested; typedef typename internal::ref_selector<Rhs>::type RhsNested; typedef typename internal::remove_all<LhsNested>::type LhsNestedCleaned; typedef typename internal::remove_all<RhsNested>::type RhsNestedCleaned; EIGEN_DEVICE_FUNC Product(const Lhs& lhs, const Rhs& rhs) : m_lhs(lhs), m_rhs(rhs) { eigen_assert(lhs.cols() == rhs.rows() && "invalid matrix product" && "if you wanted a coeff-wise or a dot product use the respective explicit functions"); } EIGEN_DEVICE_FUNC inline Index rows() const { return m_lhs.rows(); } EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); } EIGEN_DEVICE_FUNC const LhsNestedCleaned& lhs() const { return m_lhs; } EIGEN_DEVICE_FUNC const RhsNestedCleaned& rhs() const { return m_rhs; } protected: LhsNested m_lhs; RhsNested m_rhs; }; namespace internal { template<typename Lhs, typename Rhs, int Option, int ProductTag = internal::product_type<Lhs,Rhs>::ret> class dense_product_base : public internal::dense_xpr_base<Product<Lhs,Rhs,Option> >::type {}; /** Convertion to scalar for inner-products */ template<typename Lhs, typename Rhs, int Option> class dense_product_base<Lhs, Rhs, Option, InnerProduct> : public internal::dense_xpr_base<Product<Lhs,Rhs,Option> >::type { typedef Product<Lhs,Rhs,Option> ProductXpr; typedef typename internal::dense_xpr_base<ProductXpr>::type Base; public: using Base::derived; typedef typename Base::Scalar Scalar; operator const Scalar() const { return internal::evaluator<ProductXpr>(derived()).coeff(0,0); } }; } // namespace internal // Generic API dispatcher template<typename Lhs, typename Rhs, int Option, typename StorageKind> class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type { public: typedef typename internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type Base; }; template<typename Lhs, typename Rhs, int Option> class ProductImpl<Lhs,Rhs,Option,Dense> : public internal::dense_product_base<Lhs,Rhs,Option> { typedef Product<Lhs, Rhs, Option> Derived; public: typedef typename internal::dense_product_base<Lhs, Rhs, Option> Base; EIGEN_DENSE_PUBLIC_INTERFACE(Derived) protected: enum { IsOneByOne = (RowsAtCompileTime == 1 || RowsAtCompileTime == Dynamic) && (ColsAtCompileTime == 1 || ColsAtCompileTime == Dynamic), EnableCoeff = IsOneByOne || Option==LazyProduct }; public: EIGEN_DEVICE_FUNC Scalar coeff(Index row, Index col) const { EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS); eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) ); return internal::evaluator<Derived>(derived()).coeff(row,col); } EIGEN_DEVICE_FUNC Scalar coeff(Index i) const { EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS); eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) ); return internal::evaluator<Derived>(derived()).coeff(i); } }; } // end namespace Eigen #endif // EIGEN_PRODUCT_H