//! Setup Hierarchy object
virtual void SetupHierarchy(Hierarchy& H) const {
TEUCHOS_TEST_FOR_EXCEPTION(!H.GetLevel(0)->IsAvailable("A"), Exceptions::RuntimeError, "No fine level operator");
// Setup Matrix
// TODO: I should certainly undo this somewhere...
RCP<Level> l = H.GetLevel(0);
RCP<Matrix> Op = l->Get<RCP<Matrix> >("A");
Xpetra::UnderlyingLib lib = Op->getRowMap()->lib();
H.setlib(lib);
SetupMatrix(*Op);
SetupExtra(H);
// Setup Hierarchy
H.SetMaxCoarseSize(maxCoarseSize_);
H.SetDefaultVerbLevel(verbosity_);
if (graphOutputLevel_ >= 0)
H.EnableGraphDumping("dep_graph.dot", graphOutputLevel_);
// TODO: coarsestLevelManager
H.Clear();
int levelID = 0;
int lastLevelID = numDesiredLevel_ - 1;
bool isLastLevel = false;
while (!isLastLevel) {
bool r = H.Setup(levelID,
LvlMngr(levelID-1, lastLevelID),
LvlMngr(levelID, lastLevelID),
LvlMngr(levelID+1, lastLevelID));
isLastLevel = r || (levelID == lastLevelID);
levelID++;
}
RCP<Teuchos::FancyOStream> fos = Teuchos::fancyOStream(Teuchos::rcpFromRef(std::cout));
fos->setOutputToRootOnly(0);
H.print(*fos,verbosity_);
// When we reuse hierarchy, it is necessary that we don't
// change the number of levels. We also cannot make requests
// for coarser levels, because we don't construct all the
// data on previous levels. For instance, let's say our first
// run constructed three levels. If we try to do requests during
// next setup for the fourth level, it would need Aggregates
// which we didn't construct for level 3 because we reused P.
// To fix this situation, we change the number of desired levels
// here.
numDesiredLevel_ = levelID;
WriteData<Matrix>(H, matricesToPrint_, "A");
WriteData<Matrix>(H, prolongatorsToPrint_, "P");
WriteData<Matrix>(H, restrictorsToPrint_, "R");
} //SetupHierarchy
//! Setup Hierarchy object
virtual void SetupHierarchy(Hierarchy & H) const {
TEUCHOS_TEST_FOR_EXCEPTION(!H.GetLevel(0)->IsAvailable("A"), Exceptions::RuntimeError, "No fine level operator");
// Setup Matrix
// TODO: I should certainly undo this somewhere...
RCP<Level> l = H.GetLevel(0);
RCP<Matrix> Op = l->Get<RCP<Matrix> >("A");
SetupMatrix(*Op);
SetupExtra(H);
// Setup Hierarchy
H.SetMaxCoarseSize(maxCoarseSize_);
H.SetDefaultVerbLevel(verbosity_);
if (graphOutputLevel_ >= 0)
H.EnableGraphDumping("dep_graph.dot", graphOutputLevel_);
// TODO: coarsestLevelManager
int levelID = 0;
int lastLevelID = numDesiredLevel_ - 1;
bool isLastLevel = false;
while (!isLastLevel) {
bool r = H.Setup(levelID,
LvlMngr(levelID-1, lastLevelID),
LvlMngr(levelID, lastLevelID),
LvlMngr(levelID+1, lastLevelID));
isLastLevel = r || (levelID == lastLevelID);
levelID++;
}
WriteData<Matrix>(H, matricesToPrint_, "A");
WriteData<Matrix>(H, prolongatorsToPrint_, "P");
WriteData<Matrix>(H, restrictorsToPrint_, "R");
} //SetupHierarchy
int main_(Teuchos::CommandLineProcessor &clp, Xpetra::UnderlyingLib lib, int argc, char *argv[]) {
#include <MueLu_UseShortNames.hpp>
using Teuchos::RCP;
using Teuchos::rcp;
//
// MPI initialization
//
Teuchos::oblackholestream blackhole;
bool success = false;
bool verbose = true;
try {
RCP< const Teuchos::Comm<int> > comm = Teuchos::DefaultComm<int>::getComm();
//
// Process command line arguments
//
Galeri::Xpetra::Parameters<GO> matrixParameters(clp, 81); // manage parameters of the test case
Xpetra::Parameters xpetraParameters(clp); // manage parameters of xpetra
switch (clp.parse(argc,argv)) {
case Teuchos::CommandLineProcessor::PARSE_HELP_PRINTED: return EXIT_SUCCESS;
case Teuchos::CommandLineProcessor::PARSE_ERROR:
case Teuchos::CommandLineProcessor::PARSE_UNRECOGNIZED_OPTION: return EXIT_FAILURE;
case Teuchos::CommandLineProcessor::PARSE_SUCCESSFUL: break;
default:;
}
if (comm->getRank() == 0) std::cout << xpetraParameters << matrixParameters;
//
// Setup test case (Ax = b)
//
// Distribution
RCP<const Map> map = MapFactory::Build(lib, matrixParameters.GetNumGlobalElements(), 0, comm);
// Matrix
RCP<Galeri::Xpetra::Problem<Map,CrsMatrixWrap,MultiVector> > Pr =
Galeri::Xpetra::BuildProblem<SC, LO, GO, Map, CrsMatrixWrap, MultiVector>(matrixParameters.GetMatrixType(), map, matrixParameters.GetParameterList());
RCP<Matrix> A = Pr->BuildMatrix();
// User defined nullspace
RCP<MultiVector> nullSpace = VectorFactory::Build(map,1); nullSpace->putScalar((SC) 1.0);
// Define B
RCP<Vector> X = VectorFactory::Build(map,1);
RCP<Vector> B = VectorFactory::Build(map,1);
X->setSeed(846930886);
X->randomize();
A->apply(*X, *B, Teuchos::NO_TRANS, (SC)1.0, (SC)0.0);
// X = 0
X->putScalar((SC) 0.0);
//
// Create a multigrid configuration
//
// Transfer operators
RCP<TentativePFactory> TentativePFact = rcp( new TentativePFactory() );
RCP<SaPFactory> SaPFact = rcp( new SaPFactory() );
RCP<TransPFactory> RFact = rcp( new TransPFactory());
FactoryManager M;
M.SetFactory("Ptent", TentativePFact);
M.SetFactory("P", SaPFact);
M.SetFactory("R", RFact);
M.SetFactory("Smoother", Teuchos::null); //skips smoother setup
M.SetFactory("CoarseSolver", Teuchos::null); //skips coarsest solve setup
//
// Multigrid setup phase
//
int startLevel = 0;
int maxLevels = 10;
std::cout << "=============== Setup transfers only ====================" << std::endl;
Hierarchy H;
H.SetDefaultVerbLevel(MueLu::Medium);
RCP<Level> finestLevel = H.GetLevel();
finestLevel->Set("A", A);
finestLevel->Set("Nullspace", nullSpace);
// Indicate which Hierarchy operators we want to keep
H.Keep("P", SaPFact.get()); //SaPFact is the generating factory for P.
H.Keep("R", RFact.get()); //RFact is the generating factory for R.
H.Keep("Ptent", TentativePFact.get()); //SaPFact is the generating factory for P.
H.Setup(M,startLevel,maxLevels);
std::cout << "=============== Setup smoothers only ====================" << std::endl;
// Create a new A.
RCP<Matrix> newA = Pr->BuildMatrix();
finestLevel->Set("A", newA);
// Create Gauss-Seidel smoother.
std::string ifpackType = "RELAXATION";
Teuchos::ParameterList ifpackList;
ifpackList.set("relaxation: sweeps", (LO) 3);
ifpackList.set("relaxation: damping factor", (SC) 1.0);
RCP<SmootherPrototype> smootherPrototype = rcp(new TrilinosSmoother(ifpackType, ifpackList));
M.SetFactory("Smoother", rcp(new SmootherFactory(smootherPrototype)));
// Create coarsest solver.
RCP<SmootherPrototype> coarseSolverPrototype = rcp( new DirectSolver() );
RCP<SmootherFactory> coarseSolverFact = rcp( new SmootherFactory(coarseSolverPrototype, Teuchos::null) );
M.SetFactory("CoarseSolver", coarseSolverFact);
// Note that we pass the number of levels back in.
H.Setup(M,startLevel, H.GetNumLevels());
std::cout << "=============== Solve ====================" << std::endl;
//
// Solve Ax = B
//
LO nIts = 9;
H.Iterate(*B, *X, nIts);
//
// Print relative residual norm
//
typename Teuchos::ScalarTraits<SC>::magnitudeType residualNorms = Utilities::ResidualNorm(*A, *X, *B)[0];
if (comm->getRank() == 0) {
std::ios::fmtflags f(std::cout.flags());
std::cout << "||Residual|| = " << std::setiosflags(std::ios::fixed) << std::setprecision(20) << residualNorms << std::endl;
std::cout.flags(f);
}
success = true;
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(verbose, std::cerr, success);
return ( success ? EXIT_SUCCESS : EXIT_FAILURE );
}
