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Grid/tests/solver/Test_wilson_mg.cc
Daniel Richtmann c4ce70a821
WilsonMG: Major cleanup
2018-02-08 23:52:08 +01:00

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilson_mg.cc
Copyright (C) 2017
Author: Daniel Richtmann <daniel.richtmann@ur.de>
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;
using namespace Grid::QCD;
template<class Field, int nbasis> class TestVectorAnalyzer {
public:
void operator()(LinearOperatorBase<Field> &Linop, std::vector<Field> const &vectors, int nn = nbasis) {
auto positiveOnes = 0;
std::vector<Field> tmp(4, vectors[0]._grid);
Gamma g5(Gamma::Algebra::Gamma5);
std::cout << GridLogMessage << "Test vector analysis:" << std::endl;
for(auto i = 0; i < nn; ++i) {
Linop.Op(vectors[i], tmp[3]);
tmp[0] = g5 * tmp[3];
auto lambda = innerProduct(vectors[i], tmp[0]) / innerProduct(vectors[i], vectors[i]);
tmp[1] = tmp[0] - lambda * vectors[i];
auto mu = ::sqrt(norm2(tmp[1]) / norm2(vectors[i]));
auto nrm = ::sqrt(norm2(vectors[i]));
if(real(lambda) > 0)
positiveOnes++;
std::cout << GridLogMessage << std::scientific << std::setprecision(2) << std::setw(2) << std::showpos << "vector " << i << ": "
<< "singular value: " << lambda << ", singular vector precision: " << mu << ", norm: " << nrm << std::endl;
}
std::cout << GridLogMessage << std::scientific << std::setprecision(2) << std::setw(2) << std::showpos << positiveOnes << " out of " << nn
<< " vectors were positive" << std::endl;
}
};
class myclass : Serializable {
public:
// clang-format off
GRID_SERIALIZABLE_CLASS_MEMBERS(myclass,
int, domaindecompose,
int, domainsize,
int, coarsegrids,
int, order,
int, Ls,
double, mq,
double, lo,
double, hi,
int, steps);
// clang-format on
myclass(){};
};
myclass params;
template<int nbasis> struct CoarseGrids {
public:
std::vector<std::vector<int>> LattSizes;
std::vector<std::vector<int>> Seeds;
std::vector<GridCartesian *> Grids;
std::vector<GridParallelRNG> PRNGs;
CoarseGrids(std::vector<std::vector<int>> const &blockSizes, int coarsegrids) {
assert(blockSizes.size() == coarsegrids);
std::cout << GridLogMessage << "Constructing " << coarsegrids << " CoarseGrids" << std::endl;
for(int cl = 0; cl < coarsegrids; ++cl) { // may be a bit ugly and slow but not perf critical
// need to differentiate between first and other coarse levels in size calculation
LattSizes.push_back({cl == 0 ? GridDefaultLatt() : LattSizes[cl - 1]});
Seeds.push_back(std::vector<int>(LattSizes[cl].size()));
for(int d = 0; d < LattSizes[cl].size(); ++d) {
LattSizes[cl][d] = LattSizes[cl][d] / blockSizes[cl][d];
Seeds[cl][d] = (cl + 1) * LattSizes[cl].size() + d + 1;
// calculation unimportant, just to get. e.g., {5, 6, 7, 8} for first coarse level and so on
}
Grids.push_back(SpaceTimeGrid::makeFourDimGrid(LattSizes[cl], GridDefaultSimd(Nd, vComplex::Nsimd()), GridDefaultMpi()));
PRNGs.push_back(GridParallelRNG(Grids[cl]));
PRNGs[cl].SeedFixedIntegers(Seeds[cl]);
std::cout << GridLogMessage << "cl = " << cl << ": LattSize = " << LattSizes[cl] << std::endl;
std::cout << GridLogMessage << "cl = " << cl << ": Seeds = " << Seeds[cl] << std::endl;
}
}
};
template<class Field> void testLinearOperator(LinearOperatorBase<Field> &LinOp, GridBase *Grid, std::string const &name = "") {
std::vector<int> seeds({1, 2, 3, 4});
GridParallelRNG RNG(Grid);
RNG.SeedFixedIntegers(seeds);
{
std::cout << GridLogMessage << "Testing that Mdiag + Σ_μ Mdir_μ == M for operator " << name << ":" << std::endl;
// clang-format off
Field src(Grid); random(RNG, src);
Field ref(Grid); ref = zero;
Field result(Grid); result = zero;
Field diag(Grid); diag = zero;
Field sumDir(Grid); sumDir = zero;
Field tmp(Grid);
Field err(Grid);
// clang-format on
LinOp.Op(src, ref);
std::cout << GridLogMessage << " norm2(M * src) = " << norm2(ref) << std::endl;
LinOp.OpDiag(src, diag);
std::cout << GridLogMessage << " norm2(Mdiag * src) = " << norm2(diag) << std::endl;
for(int dir = 0; dir < 4; dir++) {
for(auto disp : {+1, -1}) {
LinOp.OpDir(src, tmp, dir, disp);
std::cout << GridLogMessage << " norm2(Mdir_{" << dir << "," << disp << "} * src) = " << norm2(tmp) << std::endl;
sumDir = sumDir + tmp;
}
}
std::cout << GridLogMessage << " norm2(Σ_μ Mdir_μ * src) = " << norm2(sumDir) << std::endl;
result = diag + sumDir;
err = ref - result;
std::cout << GridLogMessage << " Absolute deviation = " << norm2(err) << std::endl;
std::cout << GridLogMessage << " Relative deviation = " << norm2(err) / norm2(ref) << std::endl;
}
{
std::cout << GridLogMessage << "Testing hermiticity stochastically for operator " << name << ":" << std::endl;
// clang-format off
Field phi(Grid); random(RNG, phi);
Field chi(Grid); random(RNG, chi);
Field MPhi(Grid);
Field MdagChi(Grid);
// clang-format on
LinOp.Op(phi, MPhi);
LinOp.AdjOp(chi, MdagChi);
ComplexD chiMPhi = innerProduct(chi, MPhi);
ComplexD phiMdagChi = innerProduct(phi, MdagChi);
ComplexD phiMPhi = innerProduct(phi, MPhi);
ComplexD chiMdagChi = innerProduct(chi, MdagChi);
std::cout << GridLogMessage << " chiMPhi = " << chiMPhi << " phiMdagChi = " << phiMdagChi << " difference = " << chiMPhi - conjugate(phiMdagChi)
<< std::endl;
std::cout << GridLogMessage << " phiMPhi = " << phiMPhi << " chiMdagChi = " << chiMdagChi << " <- should be real if hermitian" << std::endl;
}
{
std::cout << GridLogMessage << "Testing linearity for operator " << name << ":" << std::endl;
// clang-format off
Field phi(Grid); random(RNG, phi);
Field chi(Grid); random(RNG, chi);
Field phiPlusChi(Grid);
Field MPhi(Grid);
Field MChi(Grid);
Field MPhiPlusChi(Grid);
Field linearityError(Grid);
// clang-format on
LinOp.Op(phi, MPhi);
LinOp.Op(chi, MChi);
phiPlusChi = phi + chi;
LinOp.Op(phiPlusChi, MPhiPlusChi);
linearityError = MPhiPlusChi - MPhi;
linearityError = linearityError - MChi;
std::cout << GridLogMessage << " norm2(linearityError) = " << norm2(linearityError) << std::endl;
}
}
// template < class Fobj, class CComplex, int coarseSpins, int nbasis, class Matrix >
// class MultiGridPreconditioner : public LinearFunction< Lattice< Fobj > > {
template<class Fobj, class CComplex, int nbasis, class Matrix> 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>::siteVector siteVector;
typedef typename Aggregation<Fobj, CComplex, nbasis>::CoarseScalar CoarseScalar;
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;
Aggregates & _Aggregates;
CoarseOperator &_CoarseOperator;
Matrix & _FineMatrix;
FineOperator & _FineOperator;
Matrix & _SmootherMatrix;
FineOperator & _SmootherOperator;
// Constructor
MultiGridPreconditioner(Aggregates & Agg,
CoarseOperator &Coarse,
FineOperator & Fine,
Matrix & FineMatrix,
FineOperator & Smooth,
Matrix & SmootherMatrix)
: _Aggregates(Agg)
, _CoarseOperator(Coarse)
, _FineOperator(Fine)
, _FineMatrix(FineMatrix)
, _SmootherOperator(Smooth)
, _SmootherMatrix(SmootherMatrix) {}
void operator()(const FineField &in, FineField &out) {
CoarseVector coarseSrc(_CoarseOperator.Grid());
CoarseVector coarseTmp(_CoarseOperator.Grid());
CoarseVector coarseSol(_CoarseOperator.Grid());
coarseSol = zero;
GeneralisedMinimalResidual<CoarseVector> coarseGMRES(5.0e-2, 100, 25, false);
GeneralisedMinimalResidual<FineField> fineGMRES(5.0e-2, 100, 25, false);
HermitianLinearOperator<CoarseOperator, CoarseVector> coarseHermOp(_CoarseOperator);
MdagMLinearOperator<CoarseOperator, CoarseVector> coarseMdagMOp(_CoarseOperator);
MdagMLinearOperator<Matrix, FineField> fineMdagMOp(_SmootherMatrix);
FineField fineTmp1(in._grid);
FineField fineTmp2(in._grid);
RealD Ni = norm2(in);
// no pre smoothing for now
auto preSmootherNorm = 0;
auto preSmootherResidual = 0;
RealD r;
// Project to coarse grid, solve, project back to fine grid
_Aggregates.ProjectToSubspace(coarseSrc, in);
coarseGMRES(coarseMdagMOp, coarseSrc, coarseSol);
_Aggregates.PromoteFromSubspace(coarseSol, out);
// Recompute error
_FineOperator.Op(out, fineTmp1);
fineTmp1 = in - fineTmp1;
r = norm2(fineTmp1);
auto coarseResidual = std::sqrt(r / Ni);
// Apply smoother, use GMRES for the moment
fineGMRES(fineMdagMOp, in, out);
// Recompute error
_FineOperator.Op(out, fineTmp1);
fineTmp1 = in - fineTmp1;
r = norm2(fineTmp1);
auto postSmootherResidual = std::sqrt(r / Ni);
std::cout << GridLogIterative << "Input norm = " << Ni << " Pre-Smoother norm " << preSmootherNorm
<< " Pre-Smoother residual = " << preSmootherResidual << " Coarse residual = " << coarseResidual
<< " Post-Smoother residual = " << postSmootherResidual << std::endl;
}
void runChecks(CoarseGrids<nbasis> &cGrids, int whichCoarseGrid) {
/////////////////////////////////////////////
// Some stuff we need for the checks below //
/////////////////////////////////////////////
auto tolerance = 1e-13; // TODO: this obviously depends on the precision we use, current value is for double
std::vector<CoarseVector> cTmps(4, _CoarseOperator.Grid());
std::vector<FineField> fTmps(2, _Aggregates.subspace[0]._grid); // atm only for one coarser grid
// need to construct an operator, since _CoarseOperator is not a LinearOperator but only a matrix (the name is a bit misleading)
MdagMLinearOperator<CoarseOperator, CoarseVector> MdagMOp(_CoarseOperator);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "MG correctness check: 0 == (1 - P R) v" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
for(auto i = 0; i < _Aggregates.subspace.size(); ++i) {
_Aggregates.ProjectToSubspace(cTmps[0], _Aggregates.subspace[i]); // R v_i
_Aggregates.PromoteFromSubspace(cTmps[0], fTmps[0]); // P R v_i
fTmps[1] = _Aggregates.subspace[i] - fTmps[0]; // v_i - P R v_i
auto deviation = std::sqrt(norm2(fTmps[1]) / norm2(_Aggregates.subspace[i]));
std::cout << GridLogMessage << "Vector " << i << ": norm2(v_i) = " << norm2(_Aggregates.subspace[i]) << " | norm2(R v_i) = " << norm2(cTmps[0])
<< " | norm2(P R v_i) = " << norm2(fTmps[0]) << " | relative deviation = " << deviation;
if(deviation > tolerance) {
std::cout << " > " << tolerance << " -> check failed" << std::endl;
// abort();
} else {
std::cout << " < " << tolerance << " -> check passed" << std::endl;
}
}
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "MG correctness check: 0 == (1 - R P) v_c" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
random(cGrids.PRNGs[whichCoarseGrid], cTmps[0]);
_Aggregates.PromoteFromSubspace(cTmps[0], fTmps[0]); // P v_c
_Aggregates.ProjectToSubspace(cTmps[1], fTmps[0]); // R P v_c
cTmps[2] = cTmps[0] - cTmps[1]; // v_c - R P v_c
auto deviation = std::sqrt(norm2(cTmps[2]) / norm2(cTmps[0]));
std::cout << GridLogMessage << "norm2(v_c) = " << norm2(cTmps[0]) << " | norm2(R P v_c) = " << norm2(cTmps[1])
<< " | norm2(P v_c) = " << norm2(fTmps[0]) << " | relative deviation = " << deviation;
if(deviation > tolerance) {
std::cout << " > " << tolerance << " -> check failed" << std::endl;
// abort();
} else {
std::cout << " < " << tolerance << " -> check passed" << std::endl;
}
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "MG correctness check: 0 == (R D P - D_c) v_c" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
random(cGrids.PRNGs[whichCoarseGrid], cTmps[0]);
_Aggregates.PromoteFromSubspace(cTmps[0], fTmps[0]); // P v_c
_FineOperator.Op(fTmps[0], fTmps[1]); // D P v_c
_Aggregates.ProjectToSubspace(cTmps[1], fTmps[1]); // R D P v_c
MdagMOp.Op(cTmps[0], cTmps[2]); // D_c v_c
cTmps[3] = cTmps[1] - cTmps[2]; // R D P v_c - D_c v_c
deviation = std::sqrt(norm2(cTmps[3]) / norm2(cTmps[1]));
std::cout << GridLogMessage << "norm2(R D P v_c) = " << norm2(cTmps[1]) << " | norm2(D_c v_c) = " << norm2(cTmps[2])
<< " | relative deviation = " << deviation;
if(deviation > tolerance) {
std::cout << " > " << tolerance << " -> check failed" << std::endl;
// abort();
} else {
std::cout << " < " << tolerance << " -> check passed" << std::endl;
}
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "MG correctness check: 0 == |(Im(v_c^dag D_c^dag D_c v_c)|" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
random(cGrids.PRNGs[whichCoarseGrid], cTmps[0]);
MdagMOp.Op(cTmps[0], cTmps[1]); // D_c v_c
MdagMOp.AdjOp(cTmps[1], cTmps[2]); // D_c^dag D_c v_c
auto dot = innerProduct(cTmps[0], cTmps[2]); //v_c^dag D_c^dag D_c v_c
deviation = abs(imag(dot)) / abs(real(dot));
std::cout << GridLogMessage << "Re(v_c^dag D_c^dag D_c v_c) = " << real(dot) << " | Im(v_c^dag D_c^dag D_c v_c) = " << imag(dot)
<< " | relative deviation = " << deviation;
if(deviation > tolerance) {
std::cout << " > " << tolerance << " -> check failed" << std::endl;
// abort();
} else {
std::cout << " < " << tolerance << " -> check passed" << std::endl;
}
}
};
int main(int argc, char **argv) {
Grid_init(&argc, &argv);
params.domainsize = 1;
params.coarsegrids = 1;
params.domaindecompose = 0;
params.order = 30;
params.Ls = 1;
params.mq = -0.5;
params.lo = 0.5;
params.hi = 70.0;
params.steps = 1;
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Params: " << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << params << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Set up some fine level stuff: " << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
GridCartesian * FGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplex::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian *FrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid);
std::vector<int> fSeeds({1, 2, 3, 4});
GridParallelRNG fPRNG(FGrid);
fPRNG.SeedFixedIntegers(fSeeds);
Gamma g5(Gamma::Algebra::Gamma5);
// clang-format off
LatticeFermion src(FGrid); gaussian(fPRNG, src);
LatticeFermion result(FGrid); result = zero;
LatticeGaugeField Umu(FGrid); SU3::HotConfiguration(fPRNG, Umu);
// clang-format on
RealD mass = params.mq;
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Set up some coarser levels stuff: " << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
const int nbasis = 20; // fix the number of test vector to the same
// number on every level for now
//////////////////////////////////////////
// toggle to run two/three level method
//////////////////////////////////////////
// two-level algorithm
std::vector<std::vector<int>> blockSizes({{2, 2, 2, 2}});
CoarseGrids<nbasis> coarseGrids(blockSizes, 1);
// // three-level algorithm
// std::vector<std::vector<int>> blockSizes({{2, 2, 2, 2}, {2, 2, 1, 1}});
// CoarseGrids<nbasis> coarseGrids(blockSizes, 2);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Some typedefs" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
// typedefs for transition from fine to first coarsened grid
typedef vSpinColourVector FineSiteVector;
typedef vTComplex CoarseSiteScalar;
typedef Aggregation<FineSiteVector, CoarseSiteScalar, nbasis> Subspace;
typedef CoarsenedMatrix<FineSiteVector, CoarseSiteScalar, nbasis> CoarseOperator;
typedef CoarseOperator::CoarseVector CoarseVector;
typedef CoarseOperator::siteVector CoarseSiteVector;
typedef TestVectorAnalyzer<LatticeFermion, nbasis> FineTVA;
typedef MultiGridPreconditioner<FineSiteVector, CoarseSiteScalar, nbasis, WilsonFermionR> FineMGPreconditioner;
typedef TrivialPrecon<LatticeFermion> FineTrivialPreconditioner;
// typedefs for transition from a coarse to the next coarser grid (some defs remain the same)
typedef Aggregation<CoarseSiteVector, CoarseSiteScalar, nbasis> SubSubSpace;
typedef CoarsenedMatrix<CoarseSiteVector, CoarseSiteScalar, nbasis> CoarseCoarseOperator;
typedef CoarseCoarseOperator::CoarseVector CoarseCoarseVector;
typedef CoarseCoarseOperator::siteVector CoarseCoarseSiteVector;
typedef TestVectorAnalyzer<CoarseVector, nbasis> CoarseTVA;
typedef MultiGridPreconditioner<CoarseSiteVector, CoarseSiteScalar, nbasis, CoarseOperator> CoarseMGPreconditioner;
typedef TrivialPrecon<CoarseVector> CoarseTrivialPreconditioner;
static_assert(std::is_same<CoarseVector, CoarseCoarseVector>::value, "CoarseVector and CoarseCoarseVector must be of the same type");
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Building the wilson operator on the fine grid" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
WilsonFermionR Dw(Umu, *FGrid, *FrbGrid, mass);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Setting up linear operators" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
MdagMLinearOperator<WilsonFermionR, LatticeFermion> FineMdagMOp(Dw);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Calling Aggregation class to build subspaces" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
Subspace FineAggregates(coarseGrids.Grids[0], FGrid, 0);
assert((nbasis & 0x1) == 0);
int nb = nbasis / 2;
std::cout << GridLogMessage << " nbasis/2 = " << nb << std::endl;
FineAggregates.CreateSubspace(fPRNG, FineMdagMOp /*, nb */); // Don't specify nb to see the orthogonalization check
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Test vector analysis after initial creation of subspace" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
FineTVA fineTVA;
fineTVA(FineMdagMOp, FineAggregates.subspace);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Projecting subspace to definite chirality" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
for(int n = 0; n < nb; n++) {
FineAggregates.subspace[n + nb] = g5 * FineAggregates.subspace[n];
}
auto coarseSites = 1;
for(auto const &elem : coarseGrids.LattSizes[0]) coarseSites *= elem;
std::cout << GridLogMessage << "Norms of MG test vectors after chiral projection (coarse sites = " << coarseSites << ")" << std::endl;
for(int n = 0; n < nbasis; n++) {
std::cout << GridLogMessage << "vec[" << n << "] = " << norm2(FineAggregates.subspace[n]) << std::endl;
}
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Building coarse representation of Dirac operator" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
CoarseOperator Dc(*coarseGrids.Grids[0]);
Dc.CoarsenOperator(FGrid, FineMdagMOp, FineAggregates);
MdagMLinearOperator<CoarseOperator, CoarseVector> CoarseMdagMOp(Dc);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Test vector analysis after construction of coarse Dirac operator" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
fineTVA(FineMdagMOp, FineAggregates.subspace);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Testing the linear operators" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
// clang-format off
testLinearOperator(FineMdagMOp, FGrid, "FineMdagMOp"); std::cout << GridLogMessage << std::endl;
testLinearOperator(CoarseMdagMOp, coarseGrids.Grids[0], "CoarseMdagMOp"); std::cout << GridLogMessage << std::endl;
// clang-format on
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Building coarse vectors" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
CoarseVector coarseSource(coarseGrids.Grids[0]);
CoarseVector coarseResult(coarseGrids.Grids[0]);
gaussian(coarseGrids.PRNGs[0], coarseSource);
coarseResult = zero;
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Building some coarse space solvers" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::vector<std::unique_ptr<OperatorFunction<CoarseVector>>> dummyCoarseSolvers;
dummyCoarseSolvers.emplace_back(new GeneralisedMinimalResidual<CoarseVector>(5.0e-2, 100, 8, false));
dummyCoarseSolvers.emplace_back(new MinimalResidual<CoarseVector>(5.0e-2, 100, 0.8, false));
dummyCoarseSolvers.emplace_back(new ConjugateGradient<CoarseVector>(5.0e-2, 100, false));
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Testing some coarse space solvers" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "checking norm of coarse src " << norm2(coarseSource) << std::endl;
for(auto const &solver : dummyCoarseSolvers) {
coarseResult = zero;
(*solver)(CoarseMdagMOp, coarseSource, coarseResult);
}
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Building a multigrid preconditioner" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
FineMGPreconditioner FineMGPrecon(FineAggregates, Dc, FineMdagMOp, Dw, FineMdagMOp, Dw);
FineTrivialPreconditioner FineSimplePrecon;
FineMGPrecon.runChecks(coarseGrids, 0);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Building krylov subspace solvers w/ & w/o MG Preconditioner" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::vector<std::unique_ptr<OperatorFunction<LatticeFermion>>> solvers;
solvers.emplace_back(new FlexibleGeneralisedMinimalResidual<LatticeFermion>(1.0e-12, 4000000, FineSimplePrecon, 25, false));
solvers.emplace_back(new FlexibleGeneralisedMinimalResidual<LatticeFermion>(1.0e-12, 100, FineMGPrecon, 25, false));
solvers.emplace_back(new PrecGeneralisedConjugateResidual<LatticeFermion>(1.0e-12, 4000000, FineSimplePrecon, 25, 25));
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Testing the (un)?preconditioned solvers" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
for(auto const &solver : solvers) {
std::cout << GridLogMessage << "checking norm of fine src " << norm2(src) << std::endl;
result = zero;
(*solver)(FineMdagMOp, src, result);
std::cout << std::endl;
}
#if 0
if(coarseGrids.LattSizes.size() == 2) {
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Some testing for construction of a second coarse level" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Calling Aggregation class to build subspaces" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
SubSubSpace CoarseAggregates(coarseGrids.Grids[1], coarseGrids.Grids[0], 0);
CoarseAggregates.CreateSubspace(coarseGrids.PRNGs[0], CoarseMdagMOp);
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Test vector analysis after initial creation of subspace" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// // this doesn't work because this function applies g5 to a vector, which
// // doesn't work for coarse vectors atm -> FIXME
// CoarseTVA coarseTVA;
// coarseTVA(CoarseMdagMOp, CoarseAggregates.subspace);
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Projecting subspace to definite chirality" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// // cannot apply g5 to coarse vectors atm -> FIXME
// for(int n=0;n<nb;n++){
// CoarseAggregates.subspace[n+nb] = g5 * CoarseAggregates.subspace[n];
// std::cout<<GridLogMessage<<n<<" subspace "<<norm2(CoarseAggregates.subspace[n+nb])<<" "<<norm2(CoarseAggregates.subspace[n]) <<std::endl;
// }
auto coarseCoarseSites = 1;
for(auto const &elem : coarseGrids.LattSizes[1]) coarseCoarseSites *= elem;
std::cout << GridLogMessage << "Norms of MG test vectors after chiral projection (coarse coarse sites = " << coarseCoarseSites << ")"
<< std::endl;
for(int n = 0; n < nbasis; n++) {
std::cout << GridLogMessage << "vec[" << n << "] = " << norm2(CoarseAggregates.subspace[n]) << std::endl;
}
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Building coarse coarse representation of Dirac operator" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
CoarseCoarseOperator Dcc(*coarseGrids.Grids[1]);
Dcc.CoarsenOperator(coarseGrids.Grids[0], CoarseMdagMOp, CoarseAggregates);
MdagMLinearOperator<CoarseCoarseOperator, CoarseCoarseVector> CoarseCoarseMdagMOp(Dcc);
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Test vector analysis after construction of coarse Dirac operator" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// // this doesn't work because this function applies g5 to a vector, which
// // doesn't work for coarse vectors atm -> FIXME
// coarseTVA(CoarseMdagMOp, CoarseAggregates.subspace);
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Testing the linear operators" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// clang-format off
testLinearOperator(CoarseMdagMOp, coarseGrids.Grids[0], "CoarseMdagMOp");
testLinearOperator(CoarseCoarseMdagMOp, coarseGrids.Grids[1], "CoarseCoarseMdagMOp");
// clang-format on
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Building coarse coarse vectors" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
CoarseCoarseVector coarseCoarseSource(coarseGrids.Grids[1]);
CoarseCoarseVector coarseCoarseResult(coarseGrids.Grids[1]);
gaussian(coarseGrids.PRNGs[1], coarseCoarseSource);
coarseCoarseResult = zero;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Building some coarse space solvers" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
std::vector<std::unique_ptr<OperatorFunction<CoarseCoarseVector>>> dummyCoarseCoarseSolvers;
dummyCoarseCoarseSolvers.emplace_back(new GeneralisedMinimalResidual<CoarseCoarseVector>(5.0e-2, 100, 8, false));
dummyCoarseCoarseSolvers.emplace_back(new MinimalResidual<CoarseCoarseVector>(5.0e-2, 100, false));
dummyCoarseCoarseSolvers.emplace_back(new ConjugateGradient<CoarseCoarseVector>(5.0e-2, 100, false));
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Testing some coarse coarse space solvers" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "checking norm of coarse coarse src " << norm2(coarseCoarseSource) << std::endl;
for(auto const &solver : dummyCoarseCoarseSolvers) {
coarseCoarseResult = zero;
(*solver)(CoarseCoarseMdagMOp, coarseCoarseSource, coarseCoarseResult);
}
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Building a multigrid preconditioner" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
CoarseMGPreconditioner CoarseMGPrecon(CoarseAggregates, Dcc, CoarseMdagMOp, Dc, CoarseMdagMOp, Dc);
CoarseTrivialPreconditioner CoarseSimplePrecon;
CoarseMGPrecon.runChecks(coarseGrids, 1);
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Building krylov subspace solvers w/ & w/o MG Preconditioner" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
std::vector<std::unique_ptr<OperatorFunction<CoarseVector>>> solvers;
solvers.emplace_back(new FlexibleGeneralisedMinimalResidual<CoarseVector>(1.0e-12, 4000000, CoarseSimplePrecon, 25, false));
solvers.emplace_back(new FlexibleGeneralisedMinimalResidual<CoarseVector>(1.0e-12, 100, CoarseMGPrecon, 25, false));
solvers.emplace_back(new PrecGeneralisedConjugateResidual<CoarseVector>(1.0e-12, 4000000, CoarseSimplePrecon, 25, 25));
// std::cout << GridLogMessage << "**************************************************" << std::endl;
// std::cout << GridLogMessage << "Testing the (un)?preconditioned solvers" << std::endl;
// std::cout << GridLogMessage << "**************************************************" << std::endl;
for(auto const &solver : solvers) {
std::cout << GridLogMessage << "checking norm of fine src " << norm2(coarseSource) << std::endl;
coarseResult = zero;
(*solver)(CoarseMdagMOp, coarseSource, coarseResult);
std::cout << std::endl;
}
}
#endif
Grid_finalize();
}
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