Revision a976fa6746f463cdf85836df7c1fe834e3b6645a authored by Antonin Portelli on 05 October 2021, 13:19:47 UTC, committed by Antonin Portelli on 05 October 2021, 13:19:47 UTC
1 parent 6c66b8d
Test_dwf_hdcr_48_regression.cc
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_dwf_hdcr.cc
Copyright (C) 2015
Author: Antonin Portelli <antonin.portelli@me.com>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <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 */
#include <Grid/Grid.h>
#include <Grid/algorithms/iterative/PrecGeneralisedConjugateResidual.h>
using namespace std;
using namespace Grid;
/* Params
* Grid:
* block1(4)
* block2(4)
*
* Subspace
* * Fine : Subspace(nbasis,hi,lo,order,first,step) -- 32, 60,0.02,500,100,100
* * Coarse: Subspace(nbasis,hi,lo,order,first,step) -- 32, 18,0.02,500,100,100
* Smoother:
* * Fine: Cheby(hi, lo, order) -- 60,0.5,10
* * Coarse: Cheby(hi, lo, order) -- 12,0.1,4
* Lanczos:
* CoarseCoarse IRL( Nk, Nm, Nstop, poly(lo,hi,order)) 24,36,24,0.002,4.0,61
*/
RealD InverseApproximation(RealD x){
return 1.0/x;
}
template<class Field,class Matrix> class ChebyshevSmoother : public LinearFunction<Field>
{
public:
typedef LinearOperatorBase<Field> FineOperator;
Matrix & _SmootherMatrix;
FineOperator & _SmootherOperator;
Chebyshev<Field> Cheby;
ChebyshevSmoother(RealD _lo,RealD _hi,int _ord, FineOperator &SmootherOperator,Matrix &SmootherMatrix) :
_SmootherOperator(SmootherOperator),
_SmootherMatrix(SmootherMatrix),
Cheby(_lo,_hi,_ord,InverseApproximation)
{};
void operator() (const Field &in, Field &out)
{
Field tmp(in.Grid());
MdagMLinearOperator<Matrix,Field> MdagMOp(_SmootherMatrix);
_SmootherOperator.AdjOp(in,tmp);
Cheby(MdagMOp,tmp,out);
}
};
template<class Field,class Matrix> class MirsSmoother : public LinearFunction<Field>
{
public:
typedef LinearOperatorBase<Field> FineOperator;
Matrix & SmootherMatrix;
FineOperator & SmootherOperator;
RealD tol;
RealD shift;
int maxit;
MirsSmoother(RealD _shift,RealD _tol,int _maxit,FineOperator &_SmootherOperator,Matrix &_SmootherMatrix) :
shift(_shift),tol(_tol),maxit(_maxit),
SmootherOperator(_SmootherOperator),
SmootherMatrix(_SmootherMatrix)
{};
void operator() (const Field &in, Field &out)
{
ZeroGuesser<Field> Guess;
ConjugateGradient<Field> CG(tol,maxit,false);
Field src(in.Grid());
ShiftedMdagMLinearOperator<SparseMatrixBase<Field>,Field> MdagMOp(SmootherMatrix,shift);
SmootherOperator.AdjOp(in,src);
Guess(src,out);
CG(MdagMOp,src,out);
}
};
template<class Fobj,class CComplex,int nbasis, class Matrix, class Guesser, class CoarseSolver>
class MultiGridPreconditioner : public LinearFunction< Lattice<Fobj> > {
public:
typedef Aggregation<Fobj,CComplex,nbasis> Aggregates;
typedef CoarsenedMatrix<Fobj,CComplex,nbasis> CoarseOperator;
typedef typename Aggregation<Fobj,CComplex,nbasis>::CoarseVector CoarseVector;
typedef typename Aggregation<Fobj,CComplex,nbasis>::CoarseMatrix CoarseMatrix;
typedef typename Aggregation<Fobj,CComplex,nbasis>::FineField FineField;
typedef LinearOperatorBase<FineField> FineOperator;
typedef LinearFunction <FineField> FineSmoother;
Aggregates & _Aggregates;
CoarseOperator & _CoarseOperator;
Matrix & _FineMatrix;
FineOperator & _FineOperator;
Guesser & _Guess;
FineSmoother & _Smoother;
CoarseSolver & _CoarseSolve;
int level; void Level(int lv) {level = lv; };
#define GridLogLevel std::cout << GridLogMessage <<std::string(level,'\t')<< " Level "<<level <<" "
MultiGridPreconditioner(Aggregates &Agg, CoarseOperator &Coarse,
FineOperator &Fine,Matrix &FineMatrix,
FineSmoother &Smoother,
Guesser &Guess_,
CoarseSolver &CoarseSolve_)
: _Aggregates(Agg),
_CoarseOperator(Coarse),
_FineOperator(Fine),
_FineMatrix(FineMatrix),
_Smoother(Smoother),
_Guess(Guess_),
_CoarseSolve(CoarseSolve_),
level(1) { }
virtual void operator()(const FineField &in, FineField & out)
{
CoarseVector Csrc(_CoarseOperator.Grid());
CoarseVector Csol(_CoarseOperator.Grid());
FineField vec1(in.Grid());
FineField vec2(in.Grid());
double t;
// Fine Smoother
t=-usecond();
_Smoother(in,out);
t+=usecond();
GridLogLevel << "Smoother took "<< t/1000.0<< "ms" <<std::endl;
// Update the residual
_FineOperator.Op(out,vec1); sub(vec1, in ,vec1);
// Fine to Coarse
t=-usecond();
_Aggregates.ProjectToSubspace (Csrc,vec1);
t+=usecond();
GridLogLevel << "Project to coarse took "<< t/1000.0<< "ms" <<std::endl;
// Coarse correction
t=-usecond();
_CoarseSolve(Csrc,Csol);
t+=usecond();
GridLogLevel << "Coarse solve took "<< t/1000.0<< "ms" <<std::endl;
// Coarse to Fine
t=-usecond();
_Aggregates.PromoteFromSubspace(Csol,vec1);
add(out,out,vec1);
t+=usecond();
GridLogLevel << "Promote to this level took "<< t/1000.0<< "ms" <<std::endl;
// Residual
_FineOperator.Op(out,vec1); sub(vec1 ,in , vec1);
// Fine Smoother
t=-usecond();
_Smoother(vec1,vec2);
t+=usecond();
GridLogLevel << "Smoother took "<< t/1000.0<< "ms" <<std::endl;
add( out,out,vec2);
}
};
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
const int Ls=24;
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplex::Nsimd()),GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
///////////////////////////////////////////////////
// Construct a coarsened grid; utility for this?
///////////////////////////////////////////////////
std::vector<int> block ({2,2,2,2});
std::vector<int> blockc ({2,2,2,2});
const int nbasis= 40;
const int nbasisc= 40;
auto clatt = GridDefaultLatt();
for(int d=0;d<clatt.size();d++){
clatt[d] = clatt[d]/block[d];
}
auto cclatt = clatt;
for(int d=0;d<clatt.size();d++){
cclatt[d] = clatt[d]/blockc[d];
}
GridCartesian *Coarse4d = SpaceTimeGrid::makeFourDimGrid(clatt, GridDefaultSimd(Nd,vComplex::Nsimd()),GridDefaultMpi());;
GridCartesian *Coarse5d = SpaceTimeGrid::makeFiveDimGrid(1,Coarse4d);
// GridCartesian *CoarseCoarse4d = SpaceTimeGrid::makeFourDimGrid(cclatt, GridDefaultSimd(Nd,vComplex::Nsimd()),GridDefaultMpi());;
// GridCartesian *CoarseCoarse5d = SpaceTimeGrid::makeFiveDimGrid(1,CoarseCoarse4d);
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
std::vector<int> cseeds({5,6,7,8});
GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
GridParallelRNG CRNG(Coarse5d);CRNG.SeedFixedIntegers(cseeds);
LatticeFermion src(FGrid); gaussian(RNG5,src);// src=src+g5*src;
LatticeFermion result(FGrid);
LatticeGaugeField Umu(UGrid);
FieldMetaData header;
// std::string file("./ckpoint_lat.4000");
std::string file("./ckpoint_lat.1000");
NerscIO::readConfiguration(Umu,header,file);
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << "Building g5R5 hermitian DWF operator" <<std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
RealD mass=0.00078;
RealD M5=1.8;
DomainWallFermionR Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
typedef Aggregation<vSpinColourVector,vTComplex,nbasis> Subspace;
typedef CoarsenedMatrix<vSpinColourVector,vTComplex,nbasis> CoarseOperator;
typedef CoarseOperator::CoarseVector CoarseVector;
typedef CoarseOperator::siteVector siteVector;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << "Calling Aggregation class to build subspace" <<std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
MdagMLinearOperator<DomainWallFermionR,LatticeFermion> HermDefOp(Ddwf);
Subspace Aggregates(Coarse5d,FGrid,0);
assert ( (nbasis & 0x1)==0);
{
int nb=nbasis/2;
LatticeFermion A(FGrid);
LatticeFermion B(FGrid);
// Aggregates.CreateSubspaceChebyshev(RNG5,HermDefOp,nb,60.0,0.002,1000,800,100,0.0);
// Aggregates.CreateSubspaceChebyshev(RNG5,HermDefOp,nb,60.0,0.02,1000,800,100,0.0);
Aggregates.CreateSubspaceChebyshev(RNG5,HermDefOp,nb,60.0,0.01,1000,100,100,0.0); // Slightly faster
for(int n=0;n<nb;n++){
std::cout << GridLogMessage << " G5R5 "<<n<<std::endl;
G5R5(Aggregates.subspace[n+nb],Aggregates.subspace[n]);
std::cout << GridLogMessage << " Projection "<<n<<std::endl;
A = Aggregates.subspace[n];
B = Aggregates.subspace[n+nb];
std::cout << GridLogMessage << " Copy "<<n<<std::endl;
Aggregates.subspace[n] = A+B; // 1+G5 // eigen value of G5R5 is +1
std::cout << GridLogMessage << " P+ "<<n<<std::endl;
Aggregates.subspace[n+nb]= A-B; // 1-G5 // eigen value of G5R5 is -1
std::cout << GridLogMessage << " P- "<<n<<std::endl;
}
}
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << "Building coarse representation of Indef operator" <<std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
typedef CoarsenedMatrix<vSpinColourVector,vTComplex,nbasis> Level1Op;
typedef CoarsenedMatrix<siteVector,iScalar<vTComplex>,nbasisc> Level2Op;
Gamma5R5HermitianLinearOperator<DomainWallFermionR,LatticeFermion> HermIndefOp(Ddwf);
GridRedBlackCartesian * Coarse4dRB = SpaceTimeGrid::makeFourDimRedBlackGrid(Coarse4d);
std::cout << " Making 5D coarse RB grid " <<std::endl;
GridRedBlackCartesian * Coarse5dRB = SpaceTimeGrid::makeFiveDimRedBlackGrid(1,Coarse4d);
std::cout << " Made 5D coarse RB grid " <<std::endl;
Level1Op LDOp(*Coarse5d,*Coarse5dRB,1); LDOp.CoarsenOperator(FGrid,HermIndefOp,Aggregates);
//////////////////////////////////////////////////
// Deflate the course space. Recursive multigrid?
//////////////////////////////////////////////////
typedef Aggregation<siteVector,iScalar<vTComplex>,nbasisc> CoarseSubspace;
// CoarseSubspace CoarseAggregates(CoarseCoarse5d,Coarse5d,0);
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << "Build deflation space in coarse operator "<< std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
MdagMLinearOperator<CoarseOperator,CoarseVector> PosdefLdop(LDOp);
/*
{
int nb=nbasisc/2;
CoarseAggregates.CreateSubspaceChebyshev(CRNG,PosdefLdop,nb,15.0,0.02,1000,800,100,0.0);
for(int n=0;n<nb;n++){
autoView( subspace , CoarseAggregates.subspace[n],CpuWrite);
autoView( subspace_g5, CoarseAggregates.subspace[n+nb],CpuWrite);
for(int nn=0;nn<nb;nn++){
for(int site=0;site<Coarse5d->oSites();site++){
subspace_g5[site](nn) = subspace[site](nn);
subspace_g5[site](nn+nb)=-subspace[site](nn+nb);
}
}
}
}
*/
typedef Level2Op::CoarseVector CoarseCoarseVector;
/*
Level2Op L2Op(*CoarseCoarse5d,1); // Hermitian matrix
HermitianLinearOperator<Level1Op,CoarseVector> L1LinOp(LDOp);
L2Op.CoarsenOperator(Coarse5d,L1LinOp,CoarseAggregates);
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << " Running CoarseCoarse grid Lanczos "<< std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
MdagMLinearOperator<Level2Op,CoarseCoarseVector> IRLHermOpL2(L2Op);
CoarseCoarseVector cc_src(CoarseCoarse5d); cc_src=1.0;
*/
/*
Chebyshev<CoarseCoarseVector> IRLChebyL2(0.001,15.0,301);
FunctionHermOp<CoarseCoarseVector> IRLOpChebyL2(IRLChebyL2,IRLHermOpL2);
PlainHermOp<CoarseCoarseVector> IRLOpL2 (IRLHermOpL2);
int cNk=24;
int cNm=36;
int cNstop=24;
ImplicitlyRestartedLanczos<CoarseCoarseVector> IRLL2(IRLOpChebyL2,IRLOpL2,cNstop,cNk,cNm,1.0e-3,20);
int cNconv;
std::vector<RealD> eval2(cNm);
std::vector<CoarseCoarseVector> evec2(cNm,CoarseCoarse5d);
IRLL2.calc(eval2,evec2,cc_src,cNconv);
ConjugateGradient<CoarseCoarseVector> CoarseCoarseCG(0.1,1000);
DeflatedGuesser<CoarseCoarseVector> DeflCoarseCoarseGuesser(evec2,eval2);
NormalEquations<CoarseCoarseVector> DeflCoarseCoarseCGNE(L2Op,CoarseCoarseCG,DeflCoarseCoarseGuesser);
*/
/*
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << " Running Coarse grid Lanczos "<< std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
MdagMLinearOperator<Level1Op,CoarseVector> IRLHermOp(LDOp);
// Chebyshev<CoarseVector> IRLCheby(0.001,15.0,301);
Chebyshev<CoarseVector> IRLCheby(0.03,12.0,101);
FunctionHermOp<CoarseVector> IRLOpCheby(IRLCheby,IRLHermOp);
PlainHermOp<CoarseVector> IRLOp (IRLHermOp);
int Nk=64;
int Nm=128;
int Nstop=Nk;
ImplicitlyRestartedLanczos<CoarseVector> IRL(IRLOpCheby,IRLOp,Nstop,Nk,Nm,1.0e-3,20);
int Nconv;
std::vector<RealD> eval(Nm);
std::vector<CoarseVector> evec(Nm,Coarse5d);
IRL.calc(eval,evec,c_src,Nconv);
*/
CoarseVector c_src(Coarse5d); c_src=1.0;
// DeflatedGuesser<CoarseVector> DeflCoarseGuesser(evec,eval);
// NormalEquations<CoarseVector> DeflCoarseCGNE(LDOp,CoarseCG,DeflCoarseGuesser);
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << "Building 3 level Multigrid "<< std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
// typedef MultiGridPreconditioner<vSpinColourVector, vTComplex,nbasis, DomainWallFermionR,DeflatedGuesser<CoarseVector> , NormalEquations<CoarseVector> > TwoLevelMG;
typedef MultiGridPreconditioner<vSpinColourVector, vTComplex,nbasis, DomainWallFermionR,ZeroGuesser<CoarseVector> , NormalEquations<CoarseVector> > TwoLevelMG;
typedef MultiGridPreconditioner<siteVector,iScalar<vTComplex>,nbasisc,Level1Op, DeflatedGuesser<CoarseCoarseVector>, NormalEquations<CoarseCoarseVector> > CoarseMG;
typedef MultiGridPreconditioner<vSpinColourVector, vTComplex,nbasis, DomainWallFermionR,ZeroGuesser<CoarseVector>, LinearFunction<CoarseVector> > ThreeLevelMG;
ChebyshevSmoother<LatticeFermion,DomainWallFermionR> FineSmoother(0.25,60.0,12,HermIndefOp,Ddwf);
/*
// MultiGrid preconditioner acting on the coarse space <-> coarsecoarse space
ChebyshevSmoother<CoarseVector, Level1Op > CoarseSmoother(0.1,15.0,3,L1LinOp,LDOp);
// MirsSmoother<CoarseVector, Level1Op > CoarseCGSmoother(0.1,0.1,4,L1LinOp,LDOp);
// MirsSmoother<LatticeFermion,DomainWallFermionR> FineCGSmoother(0.0,0.01,8,HermIndefOp,Ddwf);
CoarseMG Level2Precon (CoarseAggregates, L2Op,
L1LinOp,LDOp,
CoarseSmoother,
DeflCoarseCoarseGuesser,
DeflCoarseCoarseCGNE);
Level2Precon.Level(2);
// PGCR Applying this solver to solve the coarse space problem
PrecGeneralisedConjugateResidual<CoarseVector> l2PGCR(0.1, 100, L1LinOp,Level2Precon,16,16);
l2PGCR.Level(2);
// Wrap the 2nd level solver in a MultiGrid preconditioner acting on the fine space
ZeroGuesser<CoarseVector> CoarseZeroGuesser;
ThreeLevelMG ThreeLevelPrecon(Aggregates, LDOp,
HermIndefOp,Ddwf,
FineSmoother,
CoarseZeroGuesser,
l2PGCR);
ThreeLevelPrecon.Level(1);
// Apply the fine-coarse-coarsecoarse 2 deep MG preconditioner in an outer PGCR on the fine fgrid
PrecGeneralisedConjugateResidual<LatticeFermion> l1PGCR(1.0e-8,1000,HermIndefOp,ThreeLevelPrecon,16,16);
l1PGCR.Level(1);
*/
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << "Calling 2 level Multigrid "<< std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
result=Zero();
ZeroGuesser<CoarseVector> CoarseZeroGuesser;
ConjugateGradient<CoarseVector> CoarseCG(0.01,1000);
NormalEquations<CoarseVector> CoarseCGNE(LDOp,CoarseCG,CoarseZeroGuesser);
TwoLevelMG TwoLevelPrecon(Aggregates, LDOp,
HermIndefOp,Ddwf,
FineSmoother,
CoarseZeroGuesser,
CoarseCGNE);
TwoLevelPrecon.Level(1);
PrecGeneralisedConjugateResidual<LatticeFermion> l1PGCR(1.0e-8,20,HermIndefOp,TwoLevelPrecon,16,16);
l1PGCR.Level(1);
l1PGCR(src,result);
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << "Calling CG "<< std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
ConjugateGradient<LatticeFermion> pCG(1.0e-8,60000);
result=Zero();
// pCG(HermDefOp,src,result);
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << "Calling red black CG "<< std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
result=Zero();
LatticeFermion src_o(FrbGrid);
LatticeFermion result_o(FrbGrid);
pickCheckerboard(Odd,src_o,src);
result_o=Zero();
SchurDiagMooeeOperator<DomainWallFermionR,LatticeFermion> HermOpEO(Ddwf);
pCG(HermOpEO,src_o,result_o);
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << " Fine PowerMethod "<< std::endl;
PowerMethod<LatticeFermion> PM; PM(HermDefOp,src);
std::cout<<GridLogMessage << " Coarse PowerMethod "<< std::endl;
PowerMethod<CoarseVector> cPM; cPM(PosdefLdop,c_src);
// std::cout<<GridLogMessage << " CoarseCoarse PowerMethod "<< std::endl;
// PowerMethod<CoarseCoarseVector> ccPM; ccPM(IRLHermOpL2,cc_src);
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
std::cout<<GridLogMessage << "Done "<< std::endl;
std::cout<<GridLogMessage << "**************************************************"<< std::endl;
Grid_finalize();
}
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