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Grid/tests/Test_cayley_coarsen_support.cc
2015-06-09 22:43:10 +01:00

175 lines
5.0 KiB
C++

#include <Grid.h>
using namespace std;
using namespace Grid;
using namespace Grid::QCD;
template<class d>
struct scal {
d internal;
};
Gamma::GammaMatrix Gmu [] = {
Gamma::GammaX,
Gamma::GammaY,
Gamma::GammaZ,
Gamma::GammaT
};
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
const int Ls=8;
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
// Construct a coarsened grid
std::vector<int> clatt = GridDefaultLatt();
for(int d=0;d<clatt.size();d++){
clatt[d] = clatt[d]/2;
}
GridCartesian *Coarse4d = SpaceTimeGrid::makeFourDimGrid(clatt, GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());;
GridCartesian *Coarse5d = SpaceTimeGrid::makeFiveDimGrid(1,Coarse4d);
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); random(RNG5,src);
LatticeFermion result(FGrid); result=zero;
LatticeFermion ref(FGrid); ref=zero;
LatticeFermion tmp(FGrid);
LatticeFermion err(FGrid);
LatticeGaugeField Umu(UGrid); random(RNG4,Umu);
#if 0
std::vector<LatticeColourMatrix> U(4,UGrid);
Umu=zero;
Complex cone(1.0,0.0);
for(int nn=0;nn<Nd;nn++){
if(1) {
if (nn>2) { U[nn]=zero; std::cout << "zeroing gauge field in dir "<<nn<<std::endl; }
else { U[nn]=cone; std::cout << "unit gauge field in dir "<<nn<<std::endl; }
}
pokeIndex<LorentzIndex>(Umu,U[nn],nn);
}
#endif
RealD mass=0.5;
RealD M5=1.8;
DomainWallFermion Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
Gamma5R5HermitianLinearOperator<DomainWallFermion,LatticeFermion> HermIndefOp(Ddwf);
HermIndefOp.Op(src,ref);
HermIndefOp.OpDiag(src,result);
for(int d=0;d<4;d++){
HermIndefOp.OpDir(src,tmp,d+1,+1); result=result+tmp;
std::cout<<"dir "<<d<<" tmp "<<norm2(tmp)<<std::endl;
HermIndefOp.OpDir(src,tmp,d+1,-1); result=result+tmp;
std::cout<<"dir "<<d<<" tmp "<<norm2(tmp)<<std::endl;
}
err = result-ref;
std::cout<<"Error "<<norm2(err)<<std::endl;
const int nbasis = 2;
std::vector<LatticeFermion> subspace(nbasis,FGrid);
LatticeFermion prom(FGrid);
for(int b=0;b<nbasis;b++){
random(RNG5,subspace[b]);
}
std::cout << "Computed randoms"<< std::endl;
typedef CoarsenedMatrix<vSpinColourVector,vTComplex,nbasis> LittleDiracOperator;
typedef LittleDiracOperator::CoarseVector CoarseVector;
LittleDiracOperator LittleDiracOp(*Coarse5d);
LittleDiracOp.CoarsenOperator(FGrid,HermIndefOp,subspace);
CoarseVector c_src (Coarse5d);
CoarseVector c_res (Coarse5d);
CoarseVector c_proj(Coarse5d);
// TODO
// -- promote from subspace, check we get the vector we wanted
// -- apply ldop; check we get the same as inner product of M times big vec
// -- pick blocks one by one. Evaluate matrix elements.
Complex one(1.0);
c_src = one; // 1 in every element for vector 1.
blockPromote(c_src,err,subspace);
prom=zero;
for(int b=0;b<nbasis;b++){
prom=prom+subspace[b];
}
err=err-prom;
std::cout<<"Promoted back from subspace err "<<norm2(err)<<std::endl;
HermIndefOp.HermOp(prom,tmp);
blockProject(c_proj,tmp,subspace);
LittleDiracOp.M(c_src,c_res);
c_proj = c_proj - c_res;
std::cout<<"Representation of ldop within subspace "<<norm2(c_proj)<<std::endl;
std::cout << "Multiplying by LittleDiracOp "<< std::endl;
LittleDiracOp.M(c_src,c_res);
std::cout<<"Testing hermiticity explicitly by inspecting matrix elements"<<std::endl;
LittleDiracOp.AssertHermitian();
std::cout << "Testing Hermiticity stochastically "<< std::endl;
CoarseVector phi(Coarse5d);
CoarseVector chi(Coarse5d);
CoarseVector Aphi(Coarse5d);
CoarseVector Achi(Coarse5d);
random(CRNG,phi);
random(CRNG,chi);
std::cout<<"Made randoms"<<std::endl;
LittleDiracOp.M(phi,Aphi);
LittleDiracOp.Mdag(chi,Achi);
ComplexD pAc = innerProduct(chi,Aphi);
ComplexD cAp = innerProduct(phi,Achi);
ComplexD cAc = innerProduct(chi,Achi);
ComplexD pAp = innerProduct(phi,Aphi);
std::cout<< "pAc "<<pAc<<" cAp "<< cAp<< " diff "<<pAc-adj(cAp)<<std::endl;
std::cout<< "pAp "<<pAp<<" cAc "<< cAc<<"Should be real"<< std::endl;
std::cout<<"Testing linearity"<<std::endl;
CoarseVector PhiPlusChi(Coarse5d);
CoarseVector APhiPlusChi(Coarse5d);
CoarseVector linerr(Coarse5d);
PhiPlusChi = phi+chi;
LittleDiracOp.M(PhiPlusChi,APhiPlusChi);
linerr= APhiPlusChi-Aphi;
linerr= linerr-Achi;
std::cout<<"**Diff "<<norm2(linerr)<<std::endl;
std::cout << "Done "<< std::endl;
Grid_finalize();
}