portelli/Grid
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Synch multigrid rewrite to repository and

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broad unicode elimination effort
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Peter Boyle committed 2026-09-29 12:36:34 -04:00
1 parent 865c338dd2
commit 3bd5e8883f
73 files changed
+1018 -3219
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tests/solver/Test_multigrid_common.h
+6 -6
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@@ -397,7 +397,7 @@ public:
MdagMLinearOperator<CoarseDiracMatrix, CoarseVector> coarseMdagMOp(_CoarseMatrix);
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": MG correctness check: 0 == (M - (Mdiag + Σ_μ Mdir_μ)) * v" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": MG correctness check: 0 == (M - (Mdiag + Sum_mu Mdir_mu)) * v" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
random(_LevelInfo.PRNGs[_CurrentLevel], fineTmps[0]);
@@ -406,22 +406,22 @@ public:
fineMdagMOp.OpDiag(fineTmps[0], fineTmps[2]); // Mdiag * v
fineTmps[4] = zero;
for(int dir = 0; dir < 4; dir++) { // Σ_μ Mdir_μ * v
for(int dir = 0; dir < 4; dir++) { // Sum_mu Mdir_mu * v
for(auto disp : {+1, -1}) {
fineMdagMOp.OpDir(fineTmps[0], fineTmps[3], dir, disp);
fineTmps[4] = fineTmps[4] + fineTmps[3];
}
}
fineTmps[5] = fineTmps[2] + fineTmps[4]; // (Mdiag + Σ_μ Mdir_μ) * v
fineTmps[5] = fineTmps[2] + fineTmps[4]; // (Mdiag + Sum_mu Mdir_mu) * v
fineTmps[6] = fineTmps[1] - fineTmps[5];
auto deviation = std::sqrt(norm2(fineTmps[6]) / norm2(fineTmps[1]));
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2(M * v) = " << norm2(fineTmps[1]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2(Mdiag * v) = " << norm2(fineTmps[2]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2(Σ_μ Mdir_μ * v) = " << norm2(fineTmps[4]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2((Mdiag + Σ_μ Mdir_μ) * v) = " << norm2(fineTmps[5]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2(Sum_mu Mdir_mu * v) = " << norm2(fineTmps[4]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2((Mdiag + Sum_mu Mdir_mu) * v) = " << norm2(fineTmps[5]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": relative deviation = " << deviation;
if(deviation > tolerance) {
@@ -664,7 +664,7 @@ createMGInstance(WilsonMGParams &mgParams, LevelInfo &levelInfo, Matrix &FineMat
CASE_FOR_N_LEVELS(3);
CASE_FOR_N_LEVELS(4);
default:
std::cout << GridLogError << "We currently only support nLevels ∈ {2, 3, 4}" << std::endl;
std::cout << GridLogError << "We currently only support nLevels in {2, 3, 4}" << std::endl;
exit(EXIT_FAILURE);
break;
}