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move Core/ to a src/ subdir, in preparation for following changes
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142
Eigen/src/Core/Product.h
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142
Eigen/src/Core/Product.h
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// 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) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation; either version 2 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 General Public License for more
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// details.
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//
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// You should have received a copy of the GNU General Public License along
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// with Eigen; if not, write to the Free Software Foundation, Inc., 51
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// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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//
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// As a special exception, if other files instantiate templates or use macros
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// or functions from this file, or you compile this file and link it
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// with other works to produce a work based on this file, this file does not
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// by itself cause the resulting work to be covered by the GNU General Public
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// License. This exception does not invalidate any other reasons why a work
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// based on this file might be covered by the GNU General Public License.
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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 ProductUnroller
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{
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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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ProductUnroller<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 ProductUnroller<0, Size, Lhs, Rhs>
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{
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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 ProductUnroller<Index, Dynamic, Lhs, Rhs>
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{
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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 ProductUnroller<Index, 0, Lhs, Rhs>
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{
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static void run(int, int, const Lhs&, const Rhs&, typename Lhs::Scalar&) {}
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};
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template<typename Lhs, typename Rhs> class Product : NoOperatorEquals,
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public MatrixBase<typename Lhs::Scalar, Product<Lhs, Rhs> >
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{
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public:
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typedef typename Lhs::Scalar Scalar;
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typedef typename Lhs::Ref LhsRef;
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typedef typename Rhs::Ref RhsRef;
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friend class MatrixBase<Scalar, Product>;
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Product(const LhsRef& lhs, const RhsRef& rhs)
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: m_lhs(lhs), m_rhs(rhs)
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{
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assert(lhs.cols() == rhs.rows());
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}
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Product(const Product& other)
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: m_lhs(other.m_lhs), m_rhs(other.m_rhs) {}
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private:
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static const int _RowsAtCompileTime = Lhs::RowsAtCompileTime,
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_ColsAtCompileTime = Rhs::ColsAtCompileTime;
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const Product& _ref() const { return *this; }
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int _rows() const { return m_lhs.rows(); }
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int _cols() const { return m_rhs.cols(); }
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Scalar _coeff(int row, int col) const
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{
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Scalar res;
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if(EIGEN_UNROLLED_LOOPS
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&& Lhs::ColsAtCompileTime != Dynamic && Lhs::ColsAtCompileTime <= 16)
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ProductUnroller<Lhs::ColsAtCompileTime-1, Lhs::ColsAtCompileTime, LhsRef, RhsRef>
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::run(row, col, m_lhs, m_rhs, res);
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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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protected:
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const LhsRef m_lhs;
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const RhsRef m_rhs;
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};
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template<typename Scalar, typename Derived>
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template<typename OtherDerived>
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const Product<Derived, OtherDerived>
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MatrixBase<Scalar, Derived>::lazyProduct(const MatrixBase<Scalar, OtherDerived> &other) const
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{
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return Product<Derived, OtherDerived>(ref(), other.ref());
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}
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/** \relates MatrixBase
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*
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* \returns the matrix product of \a mat1 and \a mat2.
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*
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* \note This function causes an immediate evaluation. If you want to perform a matrix product
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* without immediate evaluation, use MatrixBase::lazyProduct() instead.
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*
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* \sa MatrixBase::lazyProduct(), MatrixBase::operator*=(const MatrixBase&)
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*/
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template<typename Scalar, typename Derived1, typename Derived2>
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Eval<Product<Derived1, Derived2> >
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operator*(const MatrixBase<Scalar, Derived1> &mat1, const MatrixBase<Scalar, Derived2> &mat2)
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{
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return mat1.lazyProduct(mat2).eval();
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}
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template<typename Scalar, typename Derived>
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template<typename OtherDerived>
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Derived &
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MatrixBase<Scalar, Derived>::operator*=(const MatrixBase<Scalar, OtherDerived> &other)
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{
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return *this = *this * other;
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}
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#endif // EIGEN_PRODUCT_H
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