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fpctrl.hpp
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fpctrl.hpp
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/*
* Copyright (c) 2013, Robert Rueger <[email protected]>
*
* This file is part of hVMC.
*
* hVMC is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* hVMC 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with hVMC. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef FPCTRL_H_INCLUDED
#define FPCTRL_H_INCLUDED
#include <boost/serialization/access.hpp>
#define EIGEN_NO_AUTOMATIC_RESIZING
#include <eigen3/Eigen/Core>
#include "macros.h"
#include "fptype.hpp"
struct FPDevStat final {
// the desired deviation
double target;
// the number of recalculations
unsigned int recalcs;
// the number of misses
unsigned int misses;
// the number of target hits
unsigned int hits;
// the number of misses by more than an order of magnitude
unsigned int mag1_misses;
// the number of hits better than an order of magnitude
unsigned int mag1_hits;
FPDevStat()
: target( 0.0 ),
recalcs( 0 ), misses( 0 ), hits( 0 ),
mag1_misses( 0 ), mag1_hits( 0 ) { }
FPDevStat( double target_init )
: target( target_init ),
recalcs( 0 ), misses( 0 ), hits( 0 ),
mag1_misses( 0 ), mag1_hits( 0 ) { }
void add( double dev );
void reset() {
recalcs = 0;
misses = 0;
hits = 0;
mag1_misses = 0;
mag1_hits = 0;
}
// make FPDevStat serializable
friend class boost::serialization::access;
template<class Archive>
void serialize( Archive& ar, const unsigned int ) {
ar & target;
ar & recalcs;
ar & misses;
ar & hits;
ar & mag1_misses;
ar & mag1_hits;
}
};
FPDevStat operator+( const FPDevStat& lhs, const FPDevStat& rhs );
template <typename _Scalar, int _Rows, int _Cols>
double calc_deviation(
const Eigen::Matrix<_Scalar, _Rows, _Cols>& approx,
const Eigen::Matrix<_Scalar, _Rows, _Cols>& exact )
{
assert( approx.size() == exact.size() );
double exact_square_sum = exact.squaredNorm();
double diff_square_sum = ( approx - exact ).squaredNorm();
return
exact_square_sum == 0.0 ?
sqrt( diff_square_sum ) :
sqrt( diff_square_sum / exact_square_sum );
}
#endif // FPCTRL_H_INCLUDED