mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
The size_t type means a number of _bytes_, and it was misused as counting e.g. the number of rows/columns in a matrix. Moreover, it is unsigned, which can give strange bugs if a signed/unsigned mismatch occurs.
115 lines
3.0 KiB
C++
115 lines
3.0 KiB
C++
/*
|
|
* Tiny Vector Matrix Library
|
|
* Dense Vector Matrix Libary of Tiny size using Expression Templates
|
|
*
|
|
* Copyright (C) 2001 - 2003 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: Gemmt.h,v 1.5 2004/06/16 09:30:07 opetzold Exp $
|
|
*/
|
|
|
|
#ifndef TVMET_LOOP_GEMMT_H
|
|
#define TVMET_LOOP_GEMMT_H
|
|
|
|
namespace tvmet {
|
|
|
|
namespace loop {
|
|
|
|
|
|
/**
|
|
* \class gemmt Gemmt.h "tvmet/loop/Gemmt.h"
|
|
* \brief class for for product matrix-transpose(matrix) operations.
|
|
* using formula
|
|
* \f[
|
|
* M_1\,M_2^{T}
|
|
* \f]
|
|
* \par Example:
|
|
* \code
|
|
* template<class T, int Rows1, int Cols1, int Cols2>
|
|
* inline
|
|
* void
|
|
* prod(const Matrix<T, Rows1, Cols1>& lhs, const Matrix<T, Rows2, Cols1>& rhs,
|
|
* Matrix<T, Rows1, Rows2>& dest)
|
|
* {
|
|
* for (int i = 0; i != Rows1; ++i) {
|
|
* for (int j = 0; j != Rows2; ++j) {
|
|
* dest(i, j) = tvmet::loop::gemmt<Rows1, Cols1, Cols1>().prod(lhs, rhs, i, j);
|
|
* }
|
|
* }
|
|
* }
|
|
* \endcode
|
|
* \note The number of cols of rhs matrix have to be equal to cols of rhs matrix.
|
|
* The result is a (Rows1 x Rows2) matrix.
|
|
*/
|
|
template<int Rows1, int Cols1,
|
|
int Cols2 /* unused */>
|
|
class gemmt
|
|
{
|
|
gemmt(const gemmt&);
|
|
gemmt& operator=(const gemmt&);
|
|
|
|
private:
|
|
enum {
|
|
count = Cols1,
|
|
N = (count+7)/8
|
|
};
|
|
|
|
public:
|
|
gemmt() { }
|
|
|
|
public:
|
|
template<class E1, class E2>
|
|
static inline
|
|
typename PromoteTraits<
|
|
typename E1::value_type,
|
|
typename E2::value_type
|
|
>::value_type
|
|
prod(const E1& lhs, const E2& rhs, int i, int j) {
|
|
typename PromoteTraits<
|
|
typename E1::value_type,
|
|
typename E2::value_type
|
|
>::value_type sum(0);
|
|
int k(0);
|
|
int n(N);
|
|
|
|
// Duff's device
|
|
switch(count % 8) {
|
|
case 0: do { sum += lhs(i, k) * rhs(j, k); ++k;
|
|
case 7: sum += lhs(i, k) * rhs(j, k); ++k;
|
|
case 6: sum += lhs(i, k) * rhs(j, k); ++k;
|
|
case 5: sum += lhs(i, k) * rhs(j, k); ++k;
|
|
case 4: sum += lhs(i, k) * rhs(j, k); ++k;
|
|
case 3: sum += lhs(i, k) * rhs(j, k); ++k;
|
|
case 2: sum += lhs(i, k) * rhs(j, k); ++k;
|
|
case 1: sum += lhs(i, k) * rhs(j, k); ++k;
|
|
} while(--n != 0);
|
|
}
|
|
|
|
return sum;
|
|
}
|
|
};
|
|
|
|
|
|
} // namespace loop
|
|
|
|
} // namespace tvmet
|
|
|
|
#endif /* TVMET_LOOP_GEMMT_H */
|
|
|
|
// Local Variables:
|
|
// mode:C++
|
|
// End:
|