1 // This file is part of Eigen, a lightweight C++ template library 2 // for linear algebra. 3 // 4 // Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr> 5 // 6 // This Source Code Form is subject to the terms of the Mozilla 7 // Public License v. 2.0. If a copy of the MPL was not distributed 8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 9 10 #ifndef EIGEN_PRODUCT_H 11 #define EIGEN_PRODUCT_H 12 13 namespace Eigen { 14 15 template<typename Lhs, typename Rhs, int Option, typename StorageKind> class ProductImpl; 16 17 namespace internal { 18 19 template<typename Lhs, typename Rhs, int Option> 20 struct traits<Product<Lhs, Rhs, Option> > 21 { 22 typedef typename remove_all<Lhs>::type LhsCleaned; 23 typedef typename remove_all<Rhs>::type RhsCleaned; 24 typedef traits<LhsCleaned> LhsTraits; 25 typedef traits<RhsCleaned> RhsTraits; 26 27 typedef MatrixXpr XprKind; 28 29 typedef typename ScalarBinaryOpTraits<typename traits<LhsCleaned>::Scalar, typename traits<RhsCleaned>::Scalar>::ReturnType Scalar; 30 typedef typename product_promote_storage_type<typename LhsTraits::StorageKind, 31 typename RhsTraits::StorageKind, 32 internal::product_type<Lhs,Rhs>::ret>::ret StorageKind; 33 typedef typename promote_index_type<typename LhsTraits::StorageIndex, 34 typename RhsTraits::StorageIndex>::type StorageIndex; 35 36 enum { 37 RowsAtCompileTime = LhsTraits::RowsAtCompileTime, 38 ColsAtCompileTime = RhsTraits::ColsAtCompileTime, 39 MaxRowsAtCompileTime = LhsTraits::MaxRowsAtCompileTime, 40 MaxColsAtCompileTime = RhsTraits::MaxColsAtCompileTime, 41 42 // FIXME: only needed by GeneralMatrixMatrixTriangular 43 InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(LhsTraits::ColsAtCompileTime, RhsTraits::RowsAtCompileTime), 44 45 // The storage order is somewhat arbitrary here. The correct one will be determined through the evaluator. 46 Flags = (MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1) ? RowMajorBit 47 : (MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1) ? 0 48 : ( ((LhsTraits::Flags&NoPreferredStorageOrderBit) && (RhsTraits::Flags&RowMajorBit)) 49 || ((RhsTraits::Flags&NoPreferredStorageOrderBit) && (LhsTraits::Flags&RowMajorBit)) ) ? RowMajorBit 50 : NoPreferredStorageOrderBit 51 }; 52 }; 53 54 } // end namespace internal 55 56 /** \class Product 57 * \ingroup Core_Module 58 * 59 * \brief Expression of the product of two arbitrary matrices or vectors 60 * 61 * \tparam _Lhs the type of the left-hand side expression 62 * \tparam _Rhs the type of the right-hand side expression 63 * 64 * This class represents an expression of the product of two arbitrary matrices. 65 * 66 * The other template parameters are: 67 * \tparam Option can be DefaultProduct, AliasFreeProduct, or LazyProduct 68 * 69 */ 70 template<typename _Lhs, typename _Rhs, int Option> 71 class Product : public ProductImpl<_Lhs,_Rhs,Option, 72 typename internal::product_promote_storage_type<typename internal::traits<_Lhs>::StorageKind, 73 typename internal::traits<_Rhs>::StorageKind, 74 internal::product_type<_Lhs,_Rhs>::ret>::ret> 75 { 76 public: 77 78 typedef _Lhs Lhs; 79 typedef _Rhs Rhs; 80 81 typedef typename ProductImpl< 82 Lhs, Rhs, Option, 83 typename internal::product_promote_storage_type<typename internal::traits<Lhs>::StorageKind, 84 typename internal::traits<Rhs>::StorageKind, 85 internal::product_type<Lhs,Rhs>::ret>::ret>::Base Base; 86 EIGEN_GENERIC_PUBLIC_INTERFACE(Product) 87 88 typedef typename internal::ref_selector<Lhs>::type LhsNested; 89 typedef typename internal::ref_selector<Rhs>::type RhsNested; 90 typedef typename internal::remove_all<LhsNested>::type LhsNestedCleaned; 91 typedef typename internal::remove_all<RhsNested>::type RhsNestedCleaned; 92 93 EIGEN_DEVICE_FUNC Product(const Lhs& lhs, const Rhs& rhs) : m_lhs(lhs), m_rhs(rhs) 94 { 95 eigen_assert(lhs.cols() == rhs.rows() 96 && "invalid matrix product" 97 && "if you wanted a coeff-wise or a dot product use the respective explicit functions"); 98 } 99 100 EIGEN_DEVICE_FUNC inline Index rows() const { return m_lhs.rows(); } 101 EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); } 102 103 EIGEN_DEVICE_FUNC const LhsNestedCleaned& lhs() const { return m_lhs; } 104 EIGEN_DEVICE_FUNC const RhsNestedCleaned& rhs() const { return m_rhs; } 105 106 protected: 107 108 LhsNested m_lhs; 109 RhsNested m_rhs; 110 }; 111 112 namespace internal { 113 114 template<typename Lhs, typename Rhs, int Option, int ProductTag = internal::product_type<Lhs,Rhs>::ret> 115 class dense_product_base 116 : public internal::dense_xpr_base<Product<Lhs,Rhs,Option> >::type 117 {}; 118 119 /** Convertion to scalar for inner-products */ 120 template<typename Lhs, typename Rhs, int Option> 121 class dense_product_base<Lhs, Rhs, Option, InnerProduct> 122 : public internal::dense_xpr_base<Product<Lhs,Rhs,Option> >::type 123 { 124 typedef Product<Lhs,Rhs,Option> ProductXpr; 125 typedef typename internal::dense_xpr_base<ProductXpr>::type Base; 126 public: 127 using Base::derived; 128 typedef typename Base::Scalar Scalar; 129 130 operator const Scalar() const 131 { 132 return internal::evaluator<ProductXpr>(derived()).coeff(0,0); 133 } 134 }; 135 136 } // namespace internal 137 138 // Generic API dispatcher 139 template<typename Lhs, typename Rhs, int Option, typename StorageKind> 140 class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type 141 { 142 public: 143 typedef typename internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type Base; 144 }; 145 146 template<typename Lhs, typename Rhs, int Option> 147 class ProductImpl<Lhs,Rhs,Option,Dense> 148 : public internal::dense_product_base<Lhs,Rhs,Option> 149 { 150 typedef Product<Lhs, Rhs, Option> Derived; 151 152 public: 153 154 typedef typename internal::dense_product_base<Lhs, Rhs, Option> Base; 155 EIGEN_DENSE_PUBLIC_INTERFACE(Derived) 156 protected: 157 enum { 158 IsOneByOne = (RowsAtCompileTime == 1 || RowsAtCompileTime == Dynamic) && 159 (ColsAtCompileTime == 1 || ColsAtCompileTime == Dynamic), 160 EnableCoeff = IsOneByOne || Option==LazyProduct 161 }; 162 163 public: 164 165 EIGEN_DEVICE_FUNC Scalar coeff(Index row, Index col) const 166 { 167 EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS); 168 eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) ); 169 170 return internal::evaluator<Derived>(derived()).coeff(row,col); 171 } 172 173 EIGEN_DEVICE_FUNC Scalar coeff(Index i) const 174 { 175 EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS); 176 eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) ); 177 178 return internal::evaluator<Derived>(derived()).coeff(i); 179 } 180 181 182 }; 183 184 } // end namespace Eigen 185 186 #endif // EIGEN_PRODUCT_H 187