MOAB
4.9.3pre
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00001 // This file is part of Eigen, a lightweight C++ template library 00002 // for linear algebra. 00003 // 00004 // Copyright (C) 2008-2011 Gael Guennebaud <[email protected]> 00005 // 00006 // This Source Code Form is subject to the terms of the Mozilla 00007 // Public License v. 2.0. If a copy of the MPL was not distributed 00008 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 00009 00010 #ifndef EIGEN_PRODUCT_H 00011 #define EIGEN_PRODUCT_H 00012 00013 namespace Eigen { 00014 00015 template<typename Lhs, typename Rhs, int Option, typename StorageKind> class ProductImpl; 00016 00017 namespace internal { 00018 00019 // Determine the scalar of Product<Lhs, Rhs>. This is normally the same as Lhs::Scalar times 00020 // Rhs::Scalar, but product with permutation matrices inherit the scalar of the other factor. 00021 template<typename Lhs, typename Rhs, typename LhsShape = typename evaluator_traits<Lhs>::Shape, 00022 typename RhsShape = typename evaluator_traits<Rhs>::Shape > 00023 struct product_result_scalar 00024 { 00025 typedef typename scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType Scalar; 00026 }; 00027 00028 template<typename Lhs, typename Rhs, typename RhsShape> 00029 struct product_result_scalar<Lhs, Rhs, PermutationShape, RhsShape> 00030 { 00031 typedef typename Rhs::Scalar Scalar; 00032 }; 00033 00034 template<typename Lhs, typename Rhs, typename LhsShape> 00035 struct product_result_scalar<Lhs, Rhs, LhsShape, PermutationShape> 00036 { 00037 typedef typename Lhs::Scalar Scalar; 00038 }; 00039 00040 template<typename Lhs, typename Rhs, typename RhsShape> 00041 struct product_result_scalar<Lhs, Rhs, TranspositionsShape, RhsShape> 00042 { 00043 typedef typename Rhs::Scalar Scalar; 00044 }; 00045 00046 template<typename Lhs, typename Rhs, typename LhsShape> 00047 struct product_result_scalar<Lhs, Rhs, LhsShape, TranspositionsShape> 00048 { 00049 typedef typename Lhs::Scalar Scalar; 00050 }; 00051 00052 template<typename Lhs, typename Rhs, int Option> 00053 struct traits<Product<Lhs, Rhs, Option> > 00054 { 00055 typedef typename remove_all<Lhs>::type LhsCleaned; 00056 typedef typename remove_all<Rhs>::type RhsCleaned; 00057 typedef traits<LhsCleaned> LhsTraits; 00058 typedef traits<RhsCleaned> RhsTraits; 00059 00060 typedef MatrixXpr XprKind; 00061 00062 typedef typename product_result_scalar<LhsCleaned,RhsCleaned>::Scalar Scalar; 00063 typedef typename product_promote_storage_type<typename LhsTraits::StorageKind, 00064 typename RhsTraits::StorageKind, 00065 internal::product_type<Lhs,Rhs>::ret>::ret StorageKind; 00066 typedef typename promote_index_type<typename LhsTraits::StorageIndex, 00067 typename RhsTraits::StorageIndex>::type StorageIndex; 00068 00069 enum { 00070 RowsAtCompileTime = LhsTraits::RowsAtCompileTime, 00071 ColsAtCompileTime = RhsTraits::ColsAtCompileTime, 00072 MaxRowsAtCompileTime = LhsTraits::MaxRowsAtCompileTime, 00073 MaxColsAtCompileTime = RhsTraits::MaxColsAtCompileTime, 00074 00075 // FIXME: only needed by GeneralMatrixMatrixTriangular 00076 InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(LhsTraits::ColsAtCompileTime, RhsTraits::RowsAtCompileTime), 00077 00078 // The storage order is somewhat arbitrary here. The correct one will be determined through the evaluator. 00079 Flags = (MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1) ? RowMajorBit 00080 : (MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1) ? 0 00081 : ( ((LhsTraits::Flags&NoPreferredStorageOrderBit) && (RhsTraits::Flags&RowMajorBit)) 00082 || ((RhsTraits::Flags&NoPreferredStorageOrderBit) && (LhsTraits::Flags&RowMajorBit)) ) ? RowMajorBit 00083 : NoPreferredStorageOrderBit 00084 }; 00085 }; 00086 00087 } // end namespace internal 00088 00103 template<typename _Lhs, typename _Rhs, int Option> 00104 class Product : public ProductImpl<_Lhs,_Rhs,Option, 00105 typename internal::product_promote_storage_type<typename internal::traits<_Lhs>::StorageKind, 00106 typename internal::traits<_Rhs>::StorageKind, 00107 internal::product_type<_Lhs,_Rhs>::ret>::ret> 00108 { 00109 public: 00110 00111 typedef _Lhs Lhs; 00112 typedef _Rhs Rhs; 00113 00114 typedef typename ProductImpl< 00115 Lhs, Rhs, Option, 00116 typename internal::product_promote_storage_type<typename internal::traits<Lhs>::StorageKind, 00117 typename internal::traits<Rhs>::StorageKind, 00118 internal::product_type<Lhs,Rhs>::ret>::ret>::Base Base; 00119 EIGEN_GENERIC_PUBLIC_INTERFACE(Product) 00120 00121 typedef typename internal::ref_selector<Lhs>::type LhsNested; 00122 typedef typename internal::ref_selector<Rhs>::type RhsNested; 00123 typedef typename internal::remove_all<LhsNested>::type LhsNestedCleaned; 00124 typedef typename internal::remove_all<RhsNested>::type RhsNestedCleaned; 00125 00126 EIGEN_DEVICE_FUNC Product(const Lhs& lhs, const Rhs& rhs) : m_lhs(lhs), m_rhs(rhs) 00127 { 00128 eigen_assert(lhs.cols() == rhs.rows() 00129 && "invalid matrix product" 00130 && "if you wanted a coeff-wise or a dot product use the respective explicit functions"); 00131 } 00132 00133 EIGEN_DEVICE_FUNC inline Index rows() const { return m_lhs.rows(); } 00134 EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); } 00135 00136 EIGEN_DEVICE_FUNC const LhsNestedCleaned& lhs() const { return m_lhs; } 00137 EIGEN_DEVICE_FUNC const RhsNestedCleaned& rhs() const { return m_rhs; } 00138 00139 protected: 00140 00141 LhsNested m_lhs; 00142 RhsNested m_rhs; 00143 }; 00144 00145 namespace internal { 00146 00147 template<typename Lhs, typename Rhs, int Option, int ProductTag = internal::product_type<Lhs,Rhs>::ret> 00148 class dense_product_base 00149 : public internal::dense_xpr_base<Product<Lhs,Rhs,Option> >::type 00150 {}; 00151 00153 template<typename Lhs, typename Rhs, int Option> 00154 class dense_product_base<Lhs, Rhs, Option, InnerProduct> 00155 : public internal::dense_xpr_base<Product<Lhs,Rhs,Option> >::type 00156 { 00157 typedef Product<Lhs,Rhs,Option> ProductXpr; 00158 typedef typename internal::dense_xpr_base<ProductXpr>::type Base; 00159 public: 00160 using Base::derived; 00161 typedef typename Base::Scalar Scalar; 00162 00163 operator const Scalar() const 00164 { 00165 return internal::evaluator<ProductXpr>(derived()).coeff(0,0); 00166 } 00167 }; 00168 00169 } // namespace internal 00170 00171 // Generic API dispatcher 00172 template<typename Lhs, typename Rhs, int Option, typename StorageKind> 00173 class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type 00174 { 00175 public: 00176 typedef typename internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type Base; 00177 }; 00178 00179 template<typename Lhs, typename Rhs, int Option> 00180 class ProductImpl<Lhs,Rhs,Option,Dense> 00181 : public internal::dense_product_base<Lhs,Rhs,Option> 00182 { 00183 typedef Product<Lhs, Rhs, Option> Derived; 00184 00185 public: 00186 00187 typedef typename internal::dense_product_base<Lhs, Rhs, Option> Base; 00188 EIGEN_DENSE_PUBLIC_INTERFACE(Derived) 00189 protected: 00190 enum { 00191 IsOneByOne = (RowsAtCompileTime == 1 || RowsAtCompileTime == Dynamic) && 00192 (ColsAtCompileTime == 1 || ColsAtCompileTime == Dynamic), 00193 EnableCoeff = IsOneByOne || Option==LazyProduct 00194 }; 00195 00196 public: 00197 00198 EIGEN_DEVICE_FUNC Scalar coeff(Index row, Index col) const 00199 { 00200 EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS); 00201 eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) ); 00202 00203 return internal::evaluator<Derived>(derived()).coeff(row,col); 00204 } 00205 00206 EIGEN_DEVICE_FUNC Scalar coeff(Index i) const 00207 { 00208 EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS); 00209 eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) ); 00210 00211 return internal::evaluator<Derived>(derived()).coeff(i); 00212 } 00213 00214 00215 }; 00216 00217 } // end namespace Eigen 00218 00219 #endif // EIGEN_PRODUCT_H