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📄 mmproducttransposed.h

📁 关于矩阵运算的很强的一个工具包
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/* * Tiny Vector Matrix Library * Dense Vector Matrix Libary of Tiny size using Expression Templates * * Copyright (C) 2001 - 2007 Olaf Petzold <opetzold@users.sourceforge.net> * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Lesser General Public * License as published by the Free Software Foundation; either * version 2.1 of the License, or (at your option) any later version. * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU * Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with this library; if not, write to the Free Software * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA * * $Id: MMProductTransposed.h,v 1.20 2007-06-23 15:58:59 opetzold Exp $ */#ifndef TVMET_XPR_MMPRODUCT_TRANSPOSED_H#define TVMET_XPR_MMPRODUCT_TRANSPOSED_H#include <tvmet/meta/Gemm.h>#include <tvmet/loop/Gemm.h>namespace tvmet {/** * \class XprMMProductTransposed MMProductTransposed.h "tvmet/xpr/MMProductTransposed.h" * \brief Expression for transpose(matrix-matrix product). *        Using formula: *        \f[ *        (M_1\,M_2)^T *        \f] * \note The Rows2 has to be  equal to Cols1. *       The result is a (Cols2 x Rows1) matrix. */template<class E1, std::size_t Rows1, std::size_t Cols1,	 class E2, std::size_t Cols2>class XprMMProductTransposed  : public TvmetBase< XprMMProductTransposed<E1, Rows1, Cols1, E2, Cols2> >{private:  XprMMProductTransposed();  XprMMProductTransposed& operator=(const XprMMProductTransposed&);public:  typedef typename PromoteTraits<    typename E1::value_type,    typename E2::value_type  >::value_type							value_type;public:  /** Complexity counter. */  enum {    ops_lhs   = E1::ops,    ops_rhs   = E2::ops,    M = Rows1 * Cols1 * Cols2,    N = Rows1 * (Cols1-1) * Cols2,    ops_plus  = M * NumericTraits<value_type>::ops_plus,    ops_muls  = N * NumericTraits<value_type>::ops_muls,    ops       = ops_plus + ops_muls,    use_meta  = Cols2*Rows1 < TVMET_COMPLEXITY_MM_TRIGGER ? true : false  };public:  /** Constructor. */  explicit XprMMProductTransposed(const E1& lhs, const E2& rhs)    : m_lhs(lhs), m_rhs(rhs) { }  /** Copy Constructor. Not explicit! */#if defined(TVMET_OPTIMIZE_XPR_MANUAL_CCTOR)  XprMMProductTransposed(const XprMMProductTransposed& e)    : m_lhs(e.m_lhs), m_rhs(e.m_rhs)  { }#endifprivate:  /** Wrapper for meta gemm. */  static inline  value_type do_gemm(dispatch<true>, const E1& lhs, const E2& rhs, std::size_t i, std::size_t j) {    return meta::gemm<Rows1, Cols1,                      Cols2,                      0>::prod(lhs, rhs, i, j);  }  /** Wrapper for loop gemm. */  static inline  value_type do_gemm(dispatch<false>, const E1& lhs, const E2& rhs, std::size_t i, std::size_t j) {    return loop::gemm<Rows1, Cols1, Cols2>::prod(lhs, rhs, i, j);  }public:  /** index operator for arrays/matrices */  value_type operator()(std::size_t i, std::size_t j) const {    TVMET_RT_CONDITION((i < Cols2) && (j < Rows1), "XprMMProductTransposed Bounce Violation")    return do_gemm(dispatch<use_meta>(), m_lhs, m_rhs, j, i);  }public: // debugging Xpr parse tree  void print_xpr(std::ostream& os, std::size_t l=0) const {    os << IndentLevel(l++)       << "XprMMProductTransposed["       << (use_meta ? "M" :  "L") << ", O=" << ops       << ", (O1=" << ops_lhs << ", O2=" << ops_rhs << ")]<"       << std::endl;    m_lhs.print_xpr(os, l);    os << IndentLevel(l)       << "R1=" << Rows1 << ", C1=" << Cols1 << ",\n";    m_rhs.print_xpr(os, l);    os << IndentLevel(l)       << "C2=" << Cols2 << ",\n"       << IndentLevel(l)       << "\n"       << IndentLevel(--l)       << ">," << std::endl;  }private:  const E1		 				m_lhs;  const E2						m_rhs;};} // namespace tvmet#endif // TVMET_XPR_MMPRODUCT_TRANSPOSED_H// Local Variables:// mode:C++// tab-width:8// End:

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