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relocate deflation support
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Grid/algorithms/deflation/Deflation.h
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157
Grid/algorithms/deflation/Deflation.h
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/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./lib/algorithms/iterative/ImplicitlyRestartedLanczos.h
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Copyright (C) 2015
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program 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
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License along
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with this program; if not, write to the Free Software Foundation, Inc.,
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51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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See the full license in the file "LICENSE" in the top level distribution directory
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*************************************************************************************/
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/* END LEGAL */
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#ifndef GRID_DEFLATION_H
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#define GRID_DEFLATION_H
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namespace Grid {
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template<class Field>
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class ZeroGuesser: public LinearFunction<Field> {
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public:
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using LinearFunction<Field>::operator();
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virtual void operator()(const Field &src, Field &guess) { guess = Zero(); };
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};
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template<class Field>
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class DoNothingGuesser: public LinearFunction<Field> {
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public:
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using LinearFunction<Field>::operator();
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virtual void operator()(const Field &src, Field &guess) { };
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};
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template<class Field>
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class SourceGuesser: public LinearFunction<Field> {
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public:
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using LinearFunction<Field>::operator();
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virtual void operator()(const Field &src, Field &guess) { guess = src; };
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};
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////////////////////////////////
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// Fine grid deflation
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////////////////////////////////
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template<class Field>
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class DeflatedGuesser: public LinearFunction<Field> {
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private:
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const std::vector<Field> &evec;
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const std::vector<RealD> &eval;
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const unsigned int N;
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public:
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using LinearFunction<Field>::operator();
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DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval)
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: DeflatedGuesser(_evec, _eval, _evec.size())
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{}
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DeflatedGuesser(const std::vector<Field> & _evec, const std::vector<RealD> & _eval, const unsigned int _N)
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: evec(_evec), eval(_eval), N(_N)
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{
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assert(evec.size()==eval.size());
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assert(N <= evec.size());
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}
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virtual void operator()(const Field &src,Field &guess) {
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guess = Zero();
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for (int i=0;i<N;i++) {
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const Field& tmp = evec[i];
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axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess);
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}
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guess.Checkerboard() = src.Checkerboard();
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}
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};
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template<class FineField, class CoarseField>
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class LocalCoherenceDeflatedGuesser: public LinearFunction<FineField> {
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private:
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const std::vector<FineField> &subspace;
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const std::vector<CoarseField> &evec_coarse;
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const std::vector<RealD> &eval_coarse;
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public:
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using LinearFunction<FineField>::operator();
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LocalCoherenceDeflatedGuesser(const std::vector<FineField> &_subspace,
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const std::vector<CoarseField> &_evec_coarse,
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const std::vector<RealD> &_eval_coarse)
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: subspace(_subspace),
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evec_coarse(_evec_coarse),
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eval_coarse(_eval_coarse)
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{
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}
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void operator()(const FineField &src,FineField &guess) {
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int N = (int)evec_coarse.size();
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CoarseField src_coarse(evec_coarse[0].Grid());
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CoarseField guess_coarse(evec_coarse[0].Grid()); guess_coarse = Zero();
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blockProject(src_coarse,src,subspace);
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for (int i=0;i<N;i++) {
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const CoarseField & tmp = evec_coarse[i];
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axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse);
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}
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blockPromote(guess_coarse,guess,subspace);
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guess.Checkerboard() = src.Checkerboard();
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};
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void operator()(const std::vector<FineField> &src,std::vector<FineField> &guess) {
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int Nevec = (int)evec_coarse.size();
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int Nsrc = (int)src.size();
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// make temp variables
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std::vector<CoarseField> src_coarse(Nsrc,evec_coarse[0].Grid());
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std::vector<CoarseField> guess_coarse(Nsrc,evec_coarse[0].Grid());
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//Preporcessing
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std::cout << GridLogMessage << "Start BlockProject for loop" << std::endl;
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for (int j=0;j<Nsrc;j++)
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{
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guess_coarse[j] = Zero();
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std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
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blockProject(src_coarse[j],src[j],subspace);
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}
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//deflation set up for eigen vector batchsize 1 and source batch size equal number of sources
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std::cout << GridLogMessage << "Start ProjectAccum for loop" << std::endl;
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for (int i=0;i<Nevec;i++)
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{
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std::cout << GridLogMessage << "ProjectAccum Nvec: " << i << std::endl;
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const CoarseField & tmp = evec_coarse[i];
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for (int j=0;j<Nsrc;j++)
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{
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axpy(guess_coarse[j],TensorRemove(innerProduct(tmp,src_coarse[j])) / eval_coarse[i],tmp,guess_coarse[j]);
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}
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}
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//postprocessing
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std::cout << GridLogMessage << "Start BlockPromote for loop" << std::endl;
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for (int j=0;j<Nsrc;j++)
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{
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std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
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blockPromote(guess_coarse[j],guess[j],subspace);
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guess[j].Checkerboard() = src[j].Checkerboard();
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}
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};
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};
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}
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#endif
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