portelli/Grid
1
0
Fork 0
mirror of https://github.com/paboyle/Grid.git synced 2024-11-10 07:55:35 +00:00
Code Releases Activity

Implement correctness checks for Wilson MG

Browse Source
This commit is contained in:
Daniel Richtmann 2018-01-18 15:35:54 +01:00
parent 9732519c41
commit 38328100c9
No known key found for this signature in database
GPG Key ID: B33C490AF0772057
1 changed files with 107 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

107
tests/solver/Test_wilson_ddalphaamg.cc
View File

@ -537,6 +537,111 @@ public:
Ni = norm2(in);
std::cout << GridLogMessage << "SAP resid(post) " << std::sqrt(r / Ni) << " " << r << " " << Ni << std::endl;
}
void runChecks(CoarseGrids<nbasis> &cGrids) {
/////////////////////////////////////////////
// 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 << std::endl;
if(deviation > tolerance) {
std::cout << GridLogError << "Vector " << i << ": relative deviation check failed " << deviation << " > " << tolerance << std::endl;
abort();
}
}
std::cout << GridLogMessage << "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[0], 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 << std::endl;
if(deviation > tolerance) {
std::cout << GridLogError << "relative deviation check failed " << deviation << " > " << tolerance << std::endl;
abort();
}
std::cout << GridLogMessage << "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[0], 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 << std::endl;
if(deviation > tolerance) {
std::cout << GridLogError << "relative deviation check failed " << deviation << " > " << tolerance << std::endl;
abort();
}
std::cout << GridLogMessage << "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[0], 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
// // alternative impl, which is better?
// MdagMOp.HermOp(cTmps[0], 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 << std::endl;
if(deviation > tolerance) {
std::cout << GridLogError << "relative deviation check failed " << deviation << " > " << tolerance << std::endl;
abort();
}
std::cout << GridLogMessage << "Check passed!" << std::endl;
}
};
struct MGParams {
@ -819,6 +924,8 @@ int main(int argc, char **argv) {
// FineOperator &Smooth,Matrix &SmootherMatrix)
TrivialPrecon<LatticeFermion> Simple;
Precon.runChecks(cGrids);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Building two level VPGCR and FGMRES solvers" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;