mirror of
https://gitlab.com/libeigen/eigen.git
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3036eeca0a
release of tvmet (inactive for 2 years and developer unreachable) as the basis for eigen2, because it provides seemingly good expression template mechanisms, we want that, and it would take years to reinvent that wheel. We'll see. So this commit imports the last tvmet release.
131 lines
3.6 KiB
C++
131 lines
3.6 KiB
C++
/*
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* Tiny Vector Matrix Library
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* Dense Vector Matrix Libary of Tiny size using Expression Templates
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*
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* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
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*
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* This library 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 2.1 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser 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 along with this library; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*
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* $Id: MVProduct.h,v 1.17 2004/09/16 09:14:18 opetzold Exp $
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*/
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#ifndef TVMET_XPR_MVPRODUCT_H
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#define TVMET_XPR_MVPRODUCT_H
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#include <tvmet/meta/Gemv.h>
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#include <tvmet/loop/Gemv.h>
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namespace tvmet {
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/**
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* \class XprMVProduct MVProduct.h "tvmet/xpr/MVProduct.h"
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* \brief Expression for matrix-vector product
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* using formula
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* \f[
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* M\,v
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* \f]
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*/
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template<class E1, std::size_t Rows, std::size_t Cols,
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class E2>
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class XprMVProduct
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: public TvmetBase< XprMVProduct<E1, Rows, Cols, E2> >
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{
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XprMVProduct();
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XprMVProduct& operator=(const XprMVProduct&);
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public:
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typedef typename PromoteTraits<
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typename E1::value_type,
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typename E2::value_type
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>::value_type value_type;
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public:
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/** Complexity counter. */
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enum {
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ops_lhs = E1::ops,
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ops_rhs = E2::ops,
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M = Rows * Cols,
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N = Rows * (Cols - 1),
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ops_plus = M * NumericTraits<value_type>::ops_plus,
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ops_muls = N * NumericTraits<value_type>::ops_muls,
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ops = ops_plus + ops_muls,
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use_meta = Rows*Cols < TVMET_COMPLEXITY_MV_TRIGGER ? true : false
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};
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public:
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/** Constructor. */
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explicit XprMVProduct(const E1& lhs, const E2& rhs)
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: m_lhs(lhs), m_rhs(rhs)
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{ }
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/** Copy Constructor. Not explicit! */
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#if defined(TVMET_OPTIMIZE_XPR_MANUAL_CCTOR)
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XprMVProduct(const XprMVProduct& e)
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: m_lhs(e.m_lhs), m_rhs(e.m_rhs)
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{ }
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#endif
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private:
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/** Wrapper for meta gemm. */
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static inline
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value_type do_gemv(dispatch<true>, const E1& lhs, const E2& rhs, std::size_t j) {
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return meta::gemv<Rows, Cols,
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0>::prod(lhs, rhs, j);
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}
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/** Wrapper for loop gemm. */
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static inline
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value_type do_gemv(dispatch<false>, const E1& lhs, const E2& rhs, std::size_t j) {
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return loop::gemv<Rows, Cols>::prod(lhs, rhs, j);
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}
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public:
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/** index operator, returns the expression by index. This is the vector
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style since a matrix*vector gives a vector. */
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value_type operator()(std::size_t j) const {
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TVMET_RT_CONDITION(j < Rows , "XprMVProduct Bounce Violation")
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return do_gemv(dispatch<use_meta>(), m_lhs, m_rhs, j);
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}
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public: // debugging Xpr parse tree
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void print_xpr(std::ostream& os, std::size_t l=0) const {
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os << IndentLevel(l++)
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<< "XprMVProduct["
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<< (use_meta ? "M" : "L") << ", O=" << ops
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<< ", (O1=" << ops_lhs << ", O2=" << ops_rhs << ")]<"
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<< std::endl;
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m_lhs.print_xpr(os, l);
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os << IndentLevel(l)
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<< "R=" << Rows << ", C=" << Cols << ",\n";
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m_rhs.print_xpr(os, l);
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os << IndentLevel(--l)
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<< ">," << std::endl;
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}
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private:
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const E1 m_lhs;
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const E2 m_rhs;
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};
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} // namespace tvmet
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#endif // TVMET_XPR_MVPRODUCT_H
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// Local Variables:
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// mode:C++
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// End:
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