/************************************************************************************* Grid physics library, www.github.com/paboyle/Grid Source file: ./tests/Test_padded_cell.cc Copyright (C) 2023 Author: Peter Boyle 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 #include #include #include #include #include using namespace std; using namespace Grid; /////////////////////// // Tells little dirac op to use MdagM as the .Op() /////////////////////// template class HermOpAdaptor : public LinearOperatorBase { LinearOperatorBase & wrapped; public: HermOpAdaptor(LinearOperatorBase &wrapme) : wrapped(wrapme) {}; void OpDiag (const Field &in, Field &out) { assert(0); } void OpDir (const Field &in, Field &out,int dir,int disp) { assert(0); } void OpDirAll (const Field &in, std::vector &out){ assert(0); }; void Op (const Field &in, Field &out){ wrapped.HermOp(in,out); } void AdjOp (const Field &in, Field &out){ wrapped.HermOp(in,out); } void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); } void HermOp(const Field &in, Field &out){ wrapped.HermOp(in,out); } }; int main (int argc, char ** argv) { Grid_init(&argc,&argv); const int Ls=4; 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 Coordinate clatt = GridDefaultLatt(); for(int d=0;d seeds4({1,2,3,4}); std::vector seeds5({5,6,7,8}); std::vector 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); SU::HotConfiguration(RNG4,Umu); // Umu=Zero(); RealD mass=0.1; RealD M5=1.8; DomainWallFermionD Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5); const int nbasis = 16; const int cb = 0 ; LatticeFermion prom(FGrid); std::vector subspace(nbasis,FGrid); std::cout< HermDefOp(Ddwf); /////////////////////////////////////////////////// // Random aggregation space /////////////////////////////////////////////////// std::cout< Subspace; Subspace Aggregates(Coarse5d,FGrid,cb); Aggregates.CreateSubspaceRandom(RNG5); /////////////////////////////////////////////////// // Build little dirac op /////////////////////////////////////////////////// std::cout< LittleDiracOperator; typedef LittleDiracOperator::CoarseVector CoarseVector; NextToNearestStencilGeometry5D geom(Coarse5d); LittleDiracOperator LittleDiracOp(geom,FGrid,Coarse5d); LittleDiracOperator LittleDiracOpCol(geom,FGrid,Coarse5d); HermOpAdaptor HOA(HermDefOp); int pp=16; LittleDiracOp.CoarsenOperator(HOA,Aggregates); /////////////////////////////////////////////////// // Test the operator /////////////////////////////////////////////////// CoarseVector c_src (Coarse5d); CoarseVector c_res (Coarse5d); CoarseVector c_res_dag(Coarse5d); CoarseVector c_proj(Coarse5d); subspace=Aggregates.subspace; // random(CRNG,c_src); c_src = 1.0; blockPromote(c_src,err,subspace); prom=Zero(); for(int b=0;b