finally that's more subtle than just using ei_nested, because when flagging with NestByValueBit we want to store the expression by value already, regardless of whether it already had the NestByValueBit set. * rename temporary() ----> nestByValue() * move the old Product.h to disabled/, replace by what was ProductWIP.h * tweak -O and -g flags for tests and examples * reorder the tests -- basic things go first * simplifications, e.g. in many methoeds return derived() and count on implicit casting to the actual return type. * strip some not-really-useful stuff from the heaviest tests
470 lines
18 KiB
C++
470 lines
18 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2008 Benoit Jacob <jacob@math.jussieu.fr>
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_PRODUCT_H
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#define EIGEN_PRODUCT_H
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template<int Index, int Size, typename Lhs, typename Rhs>
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struct ei_product_unroller
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{
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inline static void run(int row, int col, const Lhs& lhs, const Rhs& rhs,
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typename Lhs::Scalar &res)
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{
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ei_product_unroller<Index-1, Size, Lhs, Rhs>::run(row, col, lhs, rhs, res);
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res += lhs.coeff(row, Index) * rhs.coeff(Index, col);
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}
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};
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template<int Size, typename Lhs, typename Rhs>
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struct ei_product_unroller<0, Size, Lhs, Rhs>
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{
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inline static void run(int row, int col, const Lhs& lhs, const Rhs& rhs,
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typename Lhs::Scalar &res)
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{
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res = lhs.coeff(row, 0) * rhs.coeff(0, col);
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}
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};
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template<int Index, typename Lhs, typename Rhs>
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struct ei_product_unroller<Index, Dynamic, Lhs, Rhs>
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{
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inline static void run(int, int, const Lhs&, const Rhs&, typename Lhs::Scalar&) {}
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};
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// prevent buggy user code from causing an infinite recursion
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template<int Index, typename Lhs, typename Rhs>
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struct ei_product_unroller<Index, 0, Lhs, Rhs>
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{
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inline static void run(int, int, const Lhs&, const Rhs&, typename Lhs::Scalar&) {}
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};
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template<bool RowMajor, int Index, int Size, typename Lhs, typename Rhs, typename PacketScalar>
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struct ei_packet_product_unroller;
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template<int Index, int Size, typename Lhs, typename Rhs, typename PacketScalar>
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struct ei_packet_product_unroller<true, Index, Size, Lhs, Rhs, PacketScalar>
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{
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inline static void run(int row, int col, const Lhs& lhs, const Rhs& rhs, PacketScalar &res)
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{
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ei_packet_product_unroller<true, Index-1, Size, Lhs, Rhs, PacketScalar>::run(row, col, lhs, rhs, res);
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res = ei_pmadd(ei_pset1(lhs.coeff(row, Index)), rhs.template packetCoeff<Aligned>(Index, col), res);
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}
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};
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template<int Index, int Size, typename Lhs, typename Rhs, typename PacketScalar>
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struct ei_packet_product_unroller<false, Index, Size, Lhs, Rhs, PacketScalar>
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{
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inline static void run(int row, int col, const Lhs& lhs, const Rhs& rhs, PacketScalar &res)
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{
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ei_packet_product_unroller<false, Index-1, Size, Lhs, Rhs, PacketScalar>::run(row, col, lhs, rhs, res);
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res = ei_pmadd(lhs.template packetCoeff<Aligned>(row, Index), ei_pset1(rhs.coeff(Index, col)), res);
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}
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};
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template<int Size, typename Lhs, typename Rhs, typename PacketScalar>
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struct ei_packet_product_unroller<true, 0, Size, Lhs, Rhs, PacketScalar>
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{
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inline static void run(int row, int col, const Lhs& lhs, const Rhs& rhs, PacketScalar &res)
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{
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res = ei_pmul(ei_pset1(lhs.coeff(row, 0)),rhs.template packetCoeff<Aligned>(0, col));
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}
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};
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template<int Size, typename Lhs, typename Rhs, typename PacketScalar>
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struct ei_packet_product_unroller<false, 0, Size, Lhs, Rhs, PacketScalar>
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{
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inline static void run(int row, int col, const Lhs& lhs, const Rhs& rhs, PacketScalar &res)
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{
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res = ei_pmul(lhs.template packetCoeff<Aligned>(row, 0), ei_pset1(rhs.coeff(0, col)));
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}
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};
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template<bool RowMajor, int Index, typename Lhs, typename Rhs, typename PacketScalar>
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struct ei_packet_product_unroller<RowMajor, Index, Dynamic, Lhs, Rhs, PacketScalar>
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{
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inline static void run(int, int, const Lhs&, const Rhs&, PacketScalar&) {}
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};
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template<int Index, typename Lhs, typename Rhs, typename PacketScalar>
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struct ei_packet_product_unroller<false, Index, Dynamic, Lhs, Rhs, PacketScalar>
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{
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inline static void run(int, int, const Lhs&, const Rhs&, PacketScalar&) {}
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};
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template<typename Product, bool RowMajor = true> struct ProductPacketCoeffImpl {
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inline static typename Product::PacketScalar execute(const Product& product, int row, int col)
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{ return product._packetCoeffRowMajor(row,col); }
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};
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template<typename Product> struct ProductPacketCoeffImpl<Product, false> {
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inline static typename Product::PacketScalar execute(const Product& product, int row, int col)
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{ return product._packetCoeffColumnMajor(row,col); }
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};
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/** \class Product
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*
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* \brief Expression of the product of two matrices
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*
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* \param Lhs the type of the left-hand side
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* \param Rhs the type of the right-hand side
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* \param EvalMode internal use only
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*
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* This class represents an expression of the product of two matrices.
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* It is the return type of the operator* between matrices, and most of the time
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* this is the only way it is used.
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*
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* \sa class Sum, class Difference
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*/
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template<typename Lhs, typename Rhs> struct ei_product_eval_mode
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{
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enum{ value = Lhs::MaxRowsAtCompileTime >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
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&& Rhs::MaxColsAtCompileTime >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
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&& Lhs::MaxColsAtCompileTime >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
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? CacheFriendlyProduct : NormalProduct };
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};
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template<typename T> class ei_product_eval_to_column_major
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{
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typedef typename ei_traits<T>::Scalar _Scalar;
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enum {_MaxRows = ei_traits<T>::MaxRowsAtCompileTime,
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_MaxCols = ei_traits<T>::MaxColsAtCompileTime,
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_Flags = ei_traits<T>::Flags
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};
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public:
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typedef Matrix<_Scalar,
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ei_traits<T>::RowsAtCompileTime,
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ei_traits<T>::ColsAtCompileTime,
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ei_corrected_matrix_flags<_Scalar, ei_size_at_compile_time<_MaxRows,_MaxCols>::ret, _Flags>::ret & ~RowMajorBit,
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ei_traits<T>::MaxRowsAtCompileTime,
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ei_traits<T>::MaxColsAtCompileTime> type;
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};
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template<typename T, int n=1> struct ei_product_nested_rhs
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{
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typedef typename ei_meta_if<
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(ei_traits<T>::Flags & NestByValueBit) && (!(ei_traits<T>::Flags & RowMajorBit)) && (int(ei_traits<T>::Flags) & DirectAccessBit),
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T,
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typename ei_meta_if<
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((ei_traits<T>::Flags & EvalBeforeNestingBit)
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|| (ei_traits<T>::Flags & RowMajorBit)
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|| (!(ei_traits<T>::Flags & DirectAccessBit))
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|| (n+1) * (NumTraits<typename ei_traits<T>::Scalar>::ReadCost) < (n-1) * T::CoeffReadCost),
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typename ei_product_eval_to_column_major<T>::type,
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const T&
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>::ret
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>::ret type;
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};
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template<typename T, int n=1> struct ei_product_nested_lhs
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{
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typedef typename ei_meta_if<
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ei_traits<T>::Flags & NestByValueBit && (int(ei_traits<T>::Flags) & DirectAccessBit),
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T,
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typename ei_meta_if<
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int(ei_traits<T>::Flags) & EvalBeforeNestingBit
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|| (!(int(ei_traits<T>::Flags) & DirectAccessBit))
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|| (n+1) * int(NumTraits<typename ei_traits<T>::Scalar>::ReadCost) < (n-1) * int(T::CoeffReadCost),
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typename ei_eval<T>::type,
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const T&
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>::ret
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>::ret type;
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};
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template<typename Lhs, typename Rhs, int EvalMode>
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struct ei_traits<Product<Lhs, Rhs, EvalMode> >
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{
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typedef typename Lhs::Scalar Scalar;
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// the cache friendly product evals lhs once only
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// FIXME what to do if we chose to dynamically call the normal product from the cache friendly one for small matrices ?
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typedef typename ei_meta_if<EvalMode==CacheFriendlyProduct,
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typename ei_product_nested_lhs<Lhs,1>::type,
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typename ei_nested<Lhs,Rhs::ColsAtCompileTime>::type>::ret LhsNested;
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// NOTE that rhs must be ColumnMajor, so we might need a special nested type calculation
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typedef typename ei_meta_if<EvalMode==CacheFriendlyProduct,
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typename ei_product_nested_rhs<Rhs,Lhs::RowsAtCompileTime>::type,
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typename ei_nested<Rhs,Lhs::RowsAtCompileTime>::type>::ret RhsNested;
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typedef typename ei_unconst<typename ei_unref<LhsNested>::type>::type _LhsNested;
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typedef typename ei_unconst<typename ei_unref<RhsNested>::type>::type _RhsNested;
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enum {
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LhsCoeffReadCost = _LhsNested::CoeffReadCost,
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RhsCoeffReadCost = _RhsNested::CoeffReadCost,
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LhsFlags = _LhsNested::Flags,
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RhsFlags = _RhsNested::Flags,
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RowsAtCompileTime = Lhs::RowsAtCompileTime,
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ColsAtCompileTime = Rhs::ColsAtCompileTime,
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MaxRowsAtCompileTime = Lhs::MaxRowsAtCompileTime,
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MaxColsAtCompileTime = Rhs::MaxColsAtCompileTime,
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// the vectorization flags are only used by the normal product,
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// the other one is always vectorized !
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_RhsVectorizable = (RhsFlags & RowMajorBit) && (RhsFlags & VectorizableBit) && (ColsAtCompileTime % ei_packet_traits<Scalar>::size == 0),
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_LhsVectorizable = (!(LhsFlags & RowMajorBit)) && (LhsFlags & VectorizableBit) && (RowsAtCompileTime % ei_packet_traits<Scalar>::size == 0),
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_Vectorizable = (_LhsVectorizable || _RhsVectorizable) ? 1 : 0,
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_RowMajor = (RhsFlags & RowMajorBit)
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&& (EvalMode==(int)CacheFriendlyProduct ? (int)LhsFlags & RowMajorBit : (!_LhsVectorizable)),
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_LostBits = HereditaryBits & ~(
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(_RowMajor ? 0 : RowMajorBit)
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| ((RowsAtCompileTime == Dynamic || ColsAtCompileTime == Dynamic) ? 0 : LargeBit)),
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Flags = ((unsigned int)(LhsFlags | RhsFlags) & _LostBits)
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| EvalBeforeAssigningBit
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| EvalBeforeNestingBit
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| (_Vectorizable ? VectorizableBit : 0),
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CoeffReadCost
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= Lhs::ColsAtCompileTime == Dynamic
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? Dynamic
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: Lhs::ColsAtCompileTime
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* (NumTraits<Scalar>::MulCost + LhsCoeffReadCost + RhsCoeffReadCost)
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+ (Lhs::ColsAtCompileTime - 1) * NumTraits<Scalar>::AddCost
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};
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};
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template<typename Lhs, typename Rhs, int EvalMode> class Product : ei_no_assignment_operator,
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public MatrixBase<Product<Lhs, Rhs, EvalMode> >
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{
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public:
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EIGEN_GENERIC_PUBLIC_INTERFACE(Product)
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friend class ProductPacketCoeffImpl<Product,Flags&RowMajorBit>;
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typedef typename ei_traits<Product>::LhsNested LhsNested;
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typedef typename ei_traits<Product>::RhsNested RhsNested;
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typedef typename ei_traits<Product>::_LhsNested _LhsNested;
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typedef typename ei_traits<Product>::_RhsNested _RhsNested;
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enum {
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PacketSize = ei_packet_traits<Scalar>::size
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};
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inline Product(const Lhs& lhs, const Rhs& rhs)
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: m_lhs(lhs), m_rhs(rhs)
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{
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ei_assert(lhs.cols() == rhs.rows());
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}
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/** \internal */
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template<typename DestDerived>
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void _cacheFriendlyEval(DestDerived& res) const;
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/** \internal */
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template<typename DestDerived>
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void _cacheFriendlyEvalAndAdd(DestDerived& res) const;
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private:
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inline int _rows() const { return m_lhs.rows(); }
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inline int _cols() const { return m_rhs.cols(); }
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const Scalar _coeff(int row, int col) const
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{
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Scalar res;
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const bool unroll = CoeffReadCost <= EIGEN_UNROLLING_LIMIT;
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if(unroll)
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{
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ei_product_unroller<Lhs::ColsAtCompileTime-1,
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unroll ? Lhs::ColsAtCompileTime : Dynamic,
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_LhsNested, _RhsNested>
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::run(row, col, m_lhs, m_rhs, res);
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}
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else
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{
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res = m_lhs.coeff(row, 0) * m_rhs.coeff(0, col);
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for(int i = 1; i < m_lhs.cols(); i++)
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res += m_lhs.coeff(row, i) * m_rhs.coeff(i, col);
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}
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return res;
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}
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template<int LoadMode>
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const PacketScalar _packetCoeff(int row, int col) const
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{
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if(Lhs::ColsAtCompileTime <= EIGEN_UNROLLING_LIMIT)
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{
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PacketScalar res;
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ei_packet_product_unroller<Flags&RowMajorBit ? true : false, Lhs::ColsAtCompileTime-1,
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Lhs::ColsAtCompileTime <= EIGEN_UNROLLING_LIMIT
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? Lhs::ColsAtCompileTime : Dynamic,
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_LhsNested, _RhsNested, PacketScalar>
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::run(row, col, m_lhs, m_rhs, res);
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return res;
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}
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else
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return ProductPacketCoeffImpl<Product,Flags&RowMajorBit>::execute(*this, row, col);
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}
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const PacketScalar _packetCoeffRowMajor(int row, int col) const
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{
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PacketScalar res;
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res = ei_pmul(ei_pset1(m_lhs.coeff(row, 0)),m_rhs.template packetCoeff<Aligned>(0, col));
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for(int i = 1; i < m_lhs.cols(); i++)
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res = ei_pmadd(ei_pset1(m_lhs.coeff(row, i)), m_rhs.template packetCoeff<Aligned>(i, col), res);
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return res;
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}
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const PacketScalar _packetCoeffColumnMajor(int row, int col) const
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{
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PacketScalar res;
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res = ei_pmul(m_lhs.template packetCoeff<Aligned>(row, 0), ei_pset1(m_rhs.coeff(0, col)));
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for(int i = 1; i < m_lhs.cols(); i++)
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res = ei_pmadd(m_lhs.template packetCoeff<Aligned>(row, i), ei_pset1(m_rhs.coeff(i, col)), res);
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return res;
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}
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template<typename Lhs_, typename Rhs_, int EvalMode_, typename DestDerived_, bool DirectAccess_>
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friend struct ei_cache_friendly_selector;
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protected:
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const LhsNested m_lhs;
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const RhsNested m_rhs;
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};
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/** \returns the matrix product of \c *this and \a other.
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*
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* \sa lazy(), operator*=(const MatrixBase&)
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*/
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template<typename Derived>
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template<typename OtherDerived>
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inline const Product<Derived,OtherDerived>
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MatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
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{
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return Product<Derived,OtherDerived>(derived(), other.derived());
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}
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/** replaces \c *this by \c *this * \a other.
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*
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* \returns a reference to \c *this
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*/
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template<typename Derived>
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template<typename OtherDerived>
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inline Derived &
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MatrixBase<Derived>::operator*=(const MatrixBase<OtherDerived> &other)
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{
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return *this = *this * other;
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}
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/** \internal */
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template<typename Derived>
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template<typename Lhs,typename Rhs>
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inline Derived&
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MatrixBase<Derived>::operator+=(const Flagged<Product<Lhs,Rhs,CacheFriendlyProduct>, 0, EvalBeforeNestingBit | EvalBeforeAssigningBit>& other)
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{
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other._expression()._cacheFriendlyEvalAndAdd(const_cast_derived());
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return derived();
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}
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template<typename Derived>
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template<typename Lhs, typename Rhs>
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inline Derived& MatrixBase<Derived>::lazyAssign(const Product<Lhs,Rhs,CacheFriendlyProduct>& product)
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{
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product._cacheFriendlyEval(derived());
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return derived();
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}
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template<typename Lhs, typename Rhs, int EvalMode, typename DestDerived, bool DirectAccess>
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struct ei_cache_friendly_selector
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{
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typedef Product<Lhs,Rhs,EvalMode> Prod;
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typedef typename Prod::_LhsNested _LhsNested;
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typedef typename Prod::_RhsNested _RhsNested;
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typedef typename Prod::Scalar Scalar;
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static inline void eval(const Prod& product, DestDerived& res)
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{
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if ( product._rows()>=EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
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&& product._cols()>=EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
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&& product.m_lhs.cols()>=EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
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)
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{
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res.setZero();
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ei_cache_friendly_product<Scalar>(
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product._rows(), product._cols(), product.m_lhs.cols(),
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_LhsNested::Flags&RowMajorBit, &(product.m_lhs.const_cast_derived().coeffRef(0,0)), product.m_lhs.stride(),
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_RhsNested::Flags&RowMajorBit, &(product.m_rhs.const_cast_derived().coeffRef(0,0)), product.m_rhs.stride(),
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Prod::Flags&RowMajorBit, &(res.coeffRef(0,0)), res.stride()
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);
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}
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else
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{
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res = Product<_LhsNested,_RhsNested,NormalProduct>(product.m_lhs, product.m_rhs).lazy();
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}
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}
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static inline void eval_and_add(const Prod& product, DestDerived& res)
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{
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if ( product._rows()>=EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
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&& product._cols()>=EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
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&& product.m_lhs.cols()>=EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
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)
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{
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ei_cache_friendly_product<Scalar>(
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product._rows(), product._cols(), product.m_lhs.cols(),
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_LhsNested::Flags&RowMajorBit, &(product.m_lhs.const_cast_derived().coeffRef(0,0)), product.m_lhs.stride(),
|
|
_RhsNested::Flags&RowMajorBit, &(product.m_rhs.const_cast_derived().coeffRef(0,0)), product.m_rhs.stride(),
|
|
Prod::Flags&RowMajorBit, &(res.coeffRef(0,0)), res.stride()
|
|
);
|
|
}
|
|
else
|
|
{
|
|
res += Product<_LhsNested,_RhsNested,NormalProduct>(product.m_lhs, product.m_rhs).lazy();
|
|
}
|
|
}
|
|
};
|
|
|
|
template<typename Lhs, typename Rhs, int EvalMode, typename DestDerived>
|
|
struct ei_cache_friendly_selector<Lhs,Rhs,EvalMode,DestDerived,false>
|
|
{
|
|
typedef Product<Lhs,Rhs,EvalMode> Prod;
|
|
typedef typename Prod::_LhsNested _LhsNested;
|
|
typedef typename Prod::_RhsNested _RhsNested;
|
|
typedef typename Prod::Scalar Scalar;
|
|
static inline void eval(const Prod& product, DestDerived& res)
|
|
{
|
|
res = Product<_LhsNested,_RhsNested,NormalProduct>(product.m_lhs, product.m_rhs).lazy();
|
|
}
|
|
|
|
static inline void eval_and_add(const Prod& product, DestDerived& res)
|
|
{
|
|
res += Product<_LhsNested,_RhsNested,NormalProduct>(product.m_lhs, product.m_rhs).lazy();
|
|
}
|
|
};
|
|
|
|
template<typename Lhs, typename Rhs, int EvalMode>
|
|
template<typename DestDerived>
|
|
inline void Product<Lhs,Rhs,EvalMode>::_cacheFriendlyEval(DestDerived& res) const
|
|
{
|
|
ei_cache_friendly_selector<Lhs,Rhs,EvalMode,DestDerived,
|
|
_LhsNested::Flags&_RhsNested::Flags&DirectAccessBit>
|
|
::eval(*this, res);
|
|
}
|
|
|
|
template<typename Lhs, typename Rhs, int EvalMode>
|
|
template<typename DestDerived>
|
|
inline void Product<Lhs,Rhs,EvalMode>::_cacheFriendlyEvalAndAdd(DestDerived& res) const
|
|
{
|
|
ei_cache_friendly_selector<Lhs,Rhs,EvalMode,DestDerived,
|
|
_LhsNested::Flags&_RhsNested::Flags&DirectAccessBit>
|
|
::eval_and_add(*this, res);
|
|
}
|
|
|
|
#endif // EIGEN_PRODUCT_H
|