mirror of
https://github.com/paboyle/Grid.git
synced 2024-11-09 23:45:36 +00:00
relocate deflation support
This commit is contained in:
parent
462d706a63
commit
ee3b3c4c56
157
Grid/algorithms/deflation/Deflation.h
Normal file
157
Grid/algorithms/deflation/Deflation.h
Normal file
@ -0,0 +1,157 @@
|
|||||||
|
/*************************************************************************************
|
||||||
|
|
||||||
|
Grid physics library, www.github.com/paboyle/Grid
|
||||||
|
|
||||||
|
Source file: ./lib/algorithms/iterative/ImplicitlyRestartedLanczos.h
|
||||||
|
|
||||||
|
Copyright (C) 2015
|
||||||
|
|
||||||
|
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||||
|
|
||||||
|
This program 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 2 of the License, or
|
||||||
|
(at your option) any later version.
|
||||||
|
|
||||||
|
This program 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 this program; if not, write to the Free Software Foundation, Inc.,
|
||||||
|
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||||
|
|
||||||
|
See the full license in the file "LICENSE" in the top level distribution directory
|
||||||
|
*************************************************************************************/
|
||||||
|
/* END LEGAL */
|
||||||
|
#ifndef GRID_DEFLATION_H
|
||||||
|
#define GRID_DEFLATION_H
|
||||||
|
|
||||||
|
namespace Grid {
|
||||||
|
|
||||||
|
template<class Field>
|
||||||
|
class ZeroGuesser: public LinearFunction<Field> {
|
||||||
|
public:
|
||||||
|
using LinearFunction<Field>::operator();
|
||||||
|
virtual void operator()(const Field &src, Field &guess) { guess = Zero(); };
|
||||||
|
};
|
||||||
|
template<class Field>
|
||||||
|
class DoNothingGuesser: public LinearFunction<Field> {
|
||||||
|
public:
|
||||||
|
using LinearFunction<Field>::operator();
|
||||||
|
virtual void operator()(const Field &src, Field &guess) { };
|
||||||
|
};
|
||||||
|
template<class Field>
|
||||||
|
class SourceGuesser: public LinearFunction<Field> {
|
||||||
|
public:
|
||||||
|
using LinearFunction<Field>::operator();
|
||||||
|
virtual void operator()(const Field &src, Field &guess) { guess = src; };
|
||||||
|
};
|
||||||
|
|
||||||
|
////////////////////////////////
|
||||||
|
// Fine grid deflation
|
||||||
|
////////////////////////////////
|
||||||
|
template<class Field>
|
||||||
|
class DeflatedGuesser: public LinearFunction<Field> {
|
||||||
|
private:
|
||||||
|
const std::vector<Field> &evec;
|
||||||
|
const std::vector<RealD> &eval;
|
||||||
|
const unsigned int N;
|
||||||
|
|
||||||
|
public:
|
||||||
|
using LinearFunction<Field>::operator();
|
||||||
|
|
||||||
|
DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval)
|
||||||
|
: DeflatedGuesser(_evec, _eval, _evec.size())
|
||||||
|
{}
|
||||||
|
|
||||||
|
DeflatedGuesser(const std::vector<Field> & _evec, const std::vector<RealD> & _eval, const unsigned int _N)
|
||||||
|
: evec(_evec), eval(_eval), N(_N)
|
||||||
|
{
|
||||||
|
assert(evec.size()==eval.size());
|
||||||
|
assert(N <= evec.size());
|
||||||
|
}
|
||||||
|
|
||||||
|
virtual void operator()(const Field &src,Field &guess) {
|
||||||
|
guess = Zero();
|
||||||
|
for (int i=0;i<N;i++) {
|
||||||
|
const Field& tmp = evec[i];
|
||||||
|
axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess);
|
||||||
|
}
|
||||||
|
guess.Checkerboard() = src.Checkerboard();
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
template<class FineField, class CoarseField>
|
||||||
|
class LocalCoherenceDeflatedGuesser: public LinearFunction<FineField> {
|
||||||
|
private:
|
||||||
|
const std::vector<FineField> &subspace;
|
||||||
|
const std::vector<CoarseField> &evec_coarse;
|
||||||
|
const std::vector<RealD> &eval_coarse;
|
||||||
|
public:
|
||||||
|
|
||||||
|
using LinearFunction<FineField>::operator();
|
||||||
|
LocalCoherenceDeflatedGuesser(const std::vector<FineField> &_subspace,
|
||||||
|
const std::vector<CoarseField> &_evec_coarse,
|
||||||
|
const std::vector<RealD> &_eval_coarse)
|
||||||
|
: subspace(_subspace),
|
||||||
|
evec_coarse(_evec_coarse),
|
||||||
|
eval_coarse(_eval_coarse)
|
||||||
|
{
|
||||||
|
}
|
||||||
|
|
||||||
|
void operator()(const FineField &src,FineField &guess) {
|
||||||
|
int N = (int)evec_coarse.size();
|
||||||
|
CoarseField src_coarse(evec_coarse[0].Grid());
|
||||||
|
CoarseField guess_coarse(evec_coarse[0].Grid()); guess_coarse = Zero();
|
||||||
|
blockProject(src_coarse,src,subspace);
|
||||||
|
for (int i=0;i<N;i++) {
|
||||||
|
const CoarseField & tmp = evec_coarse[i];
|
||||||
|
axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse);
|
||||||
|
}
|
||||||
|
blockPromote(guess_coarse,guess,subspace);
|
||||||
|
guess.Checkerboard() = src.Checkerboard();
|
||||||
|
};
|
||||||
|
|
||||||
|
void operator()(const std::vector<FineField> &src,std::vector<FineField> &guess) {
|
||||||
|
int Nevec = (int)evec_coarse.size();
|
||||||
|
int Nsrc = (int)src.size();
|
||||||
|
// make temp variables
|
||||||
|
std::vector<CoarseField> src_coarse(Nsrc,evec_coarse[0].Grid());
|
||||||
|
std::vector<CoarseField> guess_coarse(Nsrc,evec_coarse[0].Grid());
|
||||||
|
//Preporcessing
|
||||||
|
std::cout << GridLogMessage << "Start BlockProject for loop" << std::endl;
|
||||||
|
for (int j=0;j<Nsrc;j++)
|
||||||
|
{
|
||||||
|
guess_coarse[j] = Zero();
|
||||||
|
std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
|
||||||
|
blockProject(src_coarse[j],src[j],subspace);
|
||||||
|
}
|
||||||
|
//deflation set up for eigen vector batchsize 1 and source batch size equal number of sources
|
||||||
|
std::cout << GridLogMessage << "Start ProjectAccum for loop" << std::endl;
|
||||||
|
for (int i=0;i<Nevec;i++)
|
||||||
|
{
|
||||||
|
std::cout << GridLogMessage << "ProjectAccum Nvec: " << i << std::endl;
|
||||||
|
const CoarseField & tmp = evec_coarse[i];
|
||||||
|
for (int j=0;j<Nsrc;j++)
|
||||||
|
{
|
||||||
|
axpy(guess_coarse[j],TensorRemove(innerProduct(tmp,src_coarse[j])) / eval_coarse[i],tmp,guess_coarse[j]);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
//postprocessing
|
||||||
|
std::cout << GridLogMessage << "Start BlockPromote for loop" << std::endl;
|
||||||
|
for (int j=0;j<Nsrc;j++)
|
||||||
|
{
|
||||||
|
std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
|
||||||
|
blockPromote(guess_coarse[j],guess[j],subspace);
|
||||||
|
guess[j].Checkerboard() = src[j].Checkerboard();
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
};
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
}
|
||||||
|
#endif
|
Loading…
Reference in New Issue
Block a user