int main(int argc, char *argv[]) {
using Teuchos::RCP;
Teuchos::oblackholestream blackhole;
Teuchos::GlobalMPISession mpiSession(&argc,&argv,&blackhole);
RCP<const Teuchos::Comm<int> > comm = Teuchos::DefaultComm<int>::getComm();
RCP<Teuchos::FancyOStream> out = Teuchos::fancyOStream(Teuchos::rcpFromRef(std::cout));
out->setOutputToRootOnly(0);
*out << MueLu::MemUtils::PrintMemoryUsage() << std::endl;
// Timing
Teuchos::Time myTime("global");
Teuchos::TimeMonitor M(myTime);
#ifndef HAVE_TEUCHOS_LONG_LONG_INT
*out << "Warning: scaling test was not compiled with long long int support" << std::endl;
#endif
// custom parameters
LO maxLevels = 10;
LO its=40;
std::string smooType="sgs";
int sweeps=1;
int maxCoarseSize=1; //FIXME clp doesn't like long long int
std::string aggOrdering = "natural";
int minPerAgg=2;
int maxNbrAlreadySelected=0;
// read in problem
Epetra_Map emap(10201,0,*Xpetra::toEpetra(comm));
Epetra_CrsMatrix * ptrA = 0;
Epetra_Vector * ptrf = 0;
std::cout << "Reading matrix market file" << std::endl;
EpetraExt::MatrixMarketFileToCrsMatrix("Condif2Mat.mat",emap,emap,emap,ptrA);
EpetraExt::MatrixMarketFileToVector("Condif2Rhs.mat",emap,ptrf);
RCP<Epetra_CrsMatrix> epA = Teuchos::rcp(ptrA);
RCP<Epetra_Vector> epv = Teuchos::rcp(ptrf);
// Epetra_CrsMatrix -> Xpetra::Matrix
RCP<Xpetra::CrsMatrix<double, int, int> > exA = Teuchos::rcp(new Xpetra::EpetraCrsMatrix(epA));
RCP<Xpetra::CrsMatrixWrap<double, int, int> > crsOp = Teuchos::rcp(new Xpetra::CrsMatrixWrap<double, int, int>(exA));
RCP<Xpetra::Matrix<double, int, int> > Op = Teuchos::rcp_dynamic_cast<Xpetra::Matrix<double, int, int> >(crsOp);
// Epetra_Vector -> Xpetra::Vector
RCP<Xpetra::Vector<double,int,int> > xRhs = Teuchos::rcp(new Xpetra::EpetraVector(epv));
// Epetra_Map -> Xpetra::Map
const RCP< const Xpetra::Map<int, int> > map = Xpetra::toXpetra(emap);
// build nullspace
RCP<MultiVector> nullSpace = MultiVectorFactory::Build(map,1);
nullSpace->putScalar( (SC) 1.0);
/*for (size_t i=0; i<nullSpace->getLocalLength(); i++) {
Teuchos::ArrayRCP< Scalar > data0 = nullSpace->getDataNonConst(0);
Teuchos::ArrayRCP< Scalar > data1 = nullSpace->getDataNonConst(1);
GlobalOrdinal gid = map->getGlobalElement(Teuchos::as<LocalOrdinal>(i));
if(gid % 2 == 0) {
data0[i] = 1.0; data1[i] = 0.0;
}
else {
data0[i] = 0.0; data1[i] = 1.0;
}
}*/
RCP<MueLu::Hierarchy<SC,LO,GO,NO,LMO> > H = rcp ( new Hierarchy() );
H->setDefaultVerbLevel(Teuchos::VERB_HIGH);
H->SetMaxCoarseSize((GO) maxCoarseSize);;
// build finest Level
RCP<MueLu::Level> Finest = H->GetLevel();
Finest->setDefaultVerbLevel(Teuchos::VERB_HIGH);
Finest->Set("A",Op);
Finest->Set("Nullspace",nullSpace);
RCP<CoupledAggregationFactory> CoupledAggFact = rcp(new CoupledAggregationFactory());
*out << "========================= Aggregate option summary =========================" << std::endl;
*out << "min DOFs per aggregate : " << minPerAgg << std::endl;
*out << "min # of root nbrs already aggregated : " << maxNbrAlreadySelected << std::endl;
CoupledAggFact->SetMinNodesPerAggregate(minPerAgg); //TODO should increase if run anything other than 1D
CoupledAggFact->SetMaxNeighAlreadySelected(maxNbrAlreadySelected);
std::transform(aggOrdering.begin(), aggOrdering.end(), aggOrdering.begin(), ::tolower);
if (aggOrdering == "natural") {
*out << "aggregate ordering : NATURAL" << std::endl;
CoupledAggFact->SetOrdering(MueLu::AggOptions::NATURAL);
} else if (aggOrdering == "random") {
*out << "aggregate ordering : RANDOM" << std::endl;
CoupledAggFact->SetOrdering(MueLu::AggOptions::RANDOM);
} else if (aggOrdering == "graph") {
*out << "aggregate ordering : GRAPH" << std::endl;
CoupledAggFact->SetOrdering(MueLu::AggOptions::GRAPH);
} else {
std::string msg = "main: bad aggregation option """ + aggOrdering + """.";
throw(MueLu::Exceptions::RuntimeError(msg));
}
CoupledAggFact->SetPhase3AggCreation(0.5);
*out << "=============================================================================" << std::endl;
// build transfer operators
RCP<TentativePFactory> TentPFact = rcp(new TentativePFactory(CoupledAggFact));
*out << " afer TentativePFactory " << std::endl;
//RCP<TentativePFactory> Pfact = rcp(new TentativePFactory(CoupledAggFact));
//RCP<Factory> Rfact = rcp( new TransPFactory(Pfact));
//RCP<SaPFactory> Pfact = rcp( new SaPFactory(TentPFact) );
//RCP<Factory> Rfact = rcp( new TransPFactory(Pfact));
RCP<ThresholdAFilterFactory> Afiltered = rcp(new ThresholdAFilterFactory("A",NULL,0.0005));
RCP<PgPFactory> Pfact = rcp( new PgPFactory(TentPFact,Afiltered) );
RCP<Factory> Rfact = rcp( new GenericRFactory(Pfact));
RCP<RAPFactory> Acfact = rcp( new RAPFactory(Pfact, Rfact) );
Acfact->setVerbLevel(Teuchos::VERB_HIGH);
*out << " after ACFactory " << std::endl;
// build level smoothers
RCP<SmootherPrototype> smooProto;
std::string ifpackType;
Teuchos::ParameterList ifpackList;
ifpackList.set("relaxation: sweeps", (LO) sweeps);
ifpackList.set("relaxation: damping factor", (SC) 0.9); // 0.7
ifpackType = "RELAXATION";
ifpackList.set("relaxation: type", "Gauss-Seidel");
smooProto = Teuchos::rcp( new TrilinosSmoother(Xpetra::UseEpetra, ifpackType, ifpackList) );
RCP<SmootherFactory> SmooFact;
if (maxLevels > 1)
SmooFact = rcp( new SmootherFactory(smooProto) );
Teuchos::ParameterList status;
#if 0 // both variants are equivalent
// fill FactoryManager object by hand
FactoryManager Manager;
Manager.SetFactory("A", Acfact);
Manager.SetFactory("P", Pfact);
Manager.SetFactory("R", Rfact);
Manager.SetFactory("Smoother", SmooFact);
Manager.SetFactory("CoarseSolver", Teuchos::null);
status = H->Setup(Manager);
#else
// use FullPopulate (short, but outdated?)
status = H->FullPopulate(*Pfact,*Rfact,*Acfact,*SmooFact,0,maxLevels);
#endif
H->SetCoarsestSolver(*SmooFact,MueLu::PRE);
*out << "======================\n Multigrid statistics \n======================" << std::endl;
status.print(*out,Teuchos::ParameterList::PrintOptions().indent(2));
/**********************************************************************************/
/* SOLVE PROBLEM */
/**********************************************************************************/
RCP<MultiVector> x = MultiVectorFactory::Build(map,1);
RCP<Xpetra::MultiVector<double,int,int> > rhs = Teuchos::rcp_dynamic_cast<Xpetra::MultiVector<double,int,int> >(xRhs);//(new Xpetra::EpetraVector(epv));
// Use AMG directly as an iterative method
{
x->putScalar( (SC) 0.0);
H->Iterate(*rhs,its,*x);
//x->describe(*out,Teuchos::VERB_EXTREME);
}
RCP<Level> coarseLevel = H->GetLevel(1);
coarseLevel->print(*out);
RCP<Level> coarseLevel2 = H->GetLevel(1);
coarseLevel2->print(*out);
//M.summarize();
return EXIT_SUCCESS;
}
int main(int argc, char *argv[]) {
#include "MueLu_UseShortNames.hpp"
Teuchos::oblackholestream blackhole;
Teuchos::GlobalMPISession mpiSession(&argc,&argv,&blackhole);
RCP<const Teuchos::Comm<int> > comm = Teuchos::DefaultComm<int>::getComm();
/**********************************************************************************/
/* SET TEST PARAMETERS */
/**********************************************************************************/
// Note: use --help to list available options.
Teuchos::CommandLineProcessor clp(false);
// Default is Laplace1D with nx = 8748.
// It's a nice size for 1D and perfect aggregation. (6561=3^8)
//Nice size for 1D and perfect aggregation on small numbers of processors. (8748=4*3^7)
Galeri::Xpetra::Parameters<GO> matrixParameters(clp, 8748); // manage parameters of the test case
Xpetra::Parameters xpetraParameters(clp); // manage parameters of xpetra
// custom parameters
LO maxLevels = 1;
LO its=2;
std::string coarseSolver="amesos2";
clp.setOption("maxLevels",&maxLevels,"maximum number of levels allowed");
clp.setOption("its",&its,"number of multigrid cycles");
clp.setOption("coarseSolver",&coarseSolver,"amesos2 or ifpack2 (Tpetra specific. Ignored for Epetra)");
switch (clp.parse(argc,argv)) {
case Teuchos::CommandLineProcessor::PARSE_HELP_PRINTED: return EXIT_SUCCESS; break;
case Teuchos::CommandLineProcessor::PARSE_ERROR:
case Teuchos::CommandLineProcessor::PARSE_UNRECOGNIZED_OPTION: return EXIT_FAILURE; break;
case Teuchos::CommandLineProcessor::PARSE_SUCCESSFUL: break;
}
matrixParameters.check();
xpetraParameters.check();
// TODO: check custom parameters
if (comm->getRank() == 0) {
matrixParameters.print();
xpetraParameters.print();
// TODO: print custom parameters
}
#ifdef FOR_PARALLEL_DEBUGGING
//Utils::BreakForDebugger(*comm);
LO mypid = comm->getRank();
if (mypid == 0) std::cout << "Host and Process Ids for tasks" << std::endl;
for (LO i = 0; i <comm->getSize(); i++) {
if (i == mypid ) {
char buf[80];
char hostname[80];
gethostname(hostname, sizeof(hostname));
LO pid = getpid();
sprintf(buf, "Host: %s\tMPI rank: %d,\tPID: %d\n\tattach %d\n\tcontinue\n",
hostname, mypid, pid, pid);
printf("%s\n",buf);
fflush(stdout);
sleep(1);
}
}
if (mypid == 0) {
printf( "** Enter a character to continue > "); fflush(stdout);
char go = ' ';
scanf("%c",&go);
}
comm->barrier();
#endif
/**********************************************************************************/
/* CREATE INITIAL MATRIX */
/**********************************************************************************/
const RCP<const Map> map = MapFactory::Build(xpetraParameters.GetLib(), matrixParameters.GetNumGlobalElements(), 0, comm);
RCP<Galeri::Xpetra::Problem<Map,CrsMatrixWrap,MultiVector> > Pr =
Galeri::Xpetra::BuildProblem<SC, LO, GO, Map, CrsMatrixWrap, MultiVector>(matrixParameters.GetMatrixType(), map, matrixParameters.GetParameterList()); //TODO: Matrix vs. CrsMatrixWrap
RCP<Matrix> Op = Pr->BuildMatrix();
/**********************************************************************************/
/* */
/**********************************************************************************/
// dump matrix to file
//std::string fileName = "Amat.mm";
//Utils::Write(fileName,Op);
RCP<MultiVector> nullSpace = MultiVectorFactory::Build(map,1);
nullSpace->putScalar( (SC) 1.0);
Teuchos::Array<Teuchos::ScalarTraits<SC>::magnitudeType> norms(1);
nullSpace->norm1(norms);
if (comm->getRank() == 0)
std::cout << "||NS|| = " << norms[0] << std::endl;
RCP<MueLu::Hierarchy<SC,LO,GO,NO,LMO> > H = rcp( new Hierarchy() );
H->setDefaultVerbLevel(Teuchos::VERB_HIGH);
RCP<MueLu::Level> Finest = rcp( new MueLu::Level() );
Finest->setDefaultVerbLevel(Teuchos::VERB_HIGH);
Finest->Set("A",Op);
Finest->Set("Nullspace",nullSpace);
Finest->Request("Nullspace"); //FIXME putting this in to avoid error until Merge needs business
//FIXME is implemented
Finest->Set("NullSpace",nullSpace);
H->SetLevel(Finest);
RCP<CoupledAggregationFactory> CoupledAggFact = rcp(new CoupledAggregationFactory());
CoupledAggFact->SetMinNodesPerAggregate(3);
CoupledAggFact->SetMaxNeighAlreadySelected(0);
CoupledAggFact->SetOrdering("natural");
CoupledAggFact->SetPhase3AggCreation(0.5);
RCP<TentativePFactory> TentPFact = rcp(new TentativePFactory(CoupledAggFact));
RCP<SaPFactory> Pfact = rcp( new SaPFactory(TentPFact) );
//Pfact->SetDampingFactor(0.);
RCP<Factory> Rfact = rcp( new TransPFactory() );
RCP<GenericPRFactory> PRfact = rcp( new GenericPRFactory(Pfact,Rfact));
RCP<RAPFactory> Acfact = rcp( new RAPFactory() );
RCP<SmootherPrototype> smooProto;
Teuchos::ParameterList ifpackList;
ifpackList.set("relaxation: sweeps", (LO) 1);
ifpackList.set("relaxation: damping factor", (SC) 1.0);
/*
ifpackList.set("type", "Chebyshev");
ifpackList.set("chebyshev: degree", (int) 1);
ifpackList.set("chebyshev: max eigenvalue", (double) 2.0);
ifpackList.set("chebyshev: min eigenvalue", (double) 1.0);
ifpackList.set("chebyshev: zero starting solution", false);
*/
if (xpetraParameters.GetLib() == Xpetra::UseEpetra) {
#if defined(HAVE_MUELU_EPETRA) && defined(HAVE_MUELU_IFPACK)
ifpackList.set("relaxation: type", "symmetric Gauss-Seidel");
smooProto = rcp( new IfpackSmoother("point relaxation stand-alone",ifpackList) );
#endif
} else if (xpetraParameters.GetLib() == Xpetra::UseTpetra) {
#if defined(HAVE_MUELU_TPETRA) && defined(HAVE_MUELU_IFPACK2)
ifpackList.set("relaxation: type", "Symmetric Gauss-Seidel");
smooProto = rcp( new Ifpack2Smoother("RELAXATION",ifpackList) );
#endif
}
if (smooProto == Teuchos::null) {
throw(MueLu::Exceptions::RuntimeError("main: smoother error"));
}
RCP<SmootherFactory> SmooFact = rcp( new SmootherFactory(smooProto) );
Acfact->setVerbLevel(Teuchos::VERB_HIGH);
Teuchos::ParameterList status;
status = H->FullPopulate(PRfact,Acfact,SmooFact,0,maxLevels);
//RCP<MueLu::Level> coarseLevel = H.GetLevel(1);
//RCP<Matrix> P = coarseLevel->template Get< RCP<Matrix> >("P");
//fileName = "Pfinal.mm";
//Utils::Write(fileName,P);
if (comm->getRank() == 0) {
std::cout << "======================\n Multigrid statistics \n======================" << std::endl;
status.print(std::cout,Teuchos::ParameterList::PrintOptions().indent(2));
}
//FIXME we should be able to just call smoother->SetNIts(50) ... but right now an exception gets thrown
RCP<SmootherPrototype> coarseProto;
if (xpetraParameters.GetLib() == Xpetra::UseEpetra) {
#if defined(HAVE_MUELU_EPETRA) && defined(HAVE_MUELU_AMESOS)
if (comm->getRank() == 0) std::cout << "CoarseGrid: AMESOS" << std::endl;
Teuchos::ParameterList amesosList;
amesosList.set("PrintTiming",true);
coarseProto = rcp( new AmesosSmoother("Amesos_Klu",amesosList) );
//#elif
#endif
} else if (xpetraParameters.GetLib() == Xpetra::UseTpetra) {
if (coarseSolver=="amesos2") {
#if defined(HAVE_MUELU_TPETRA) && defined(HAVE_MUELU_AMESOS2)
if (comm->getRank() == 0) std::cout << "CoarseGrid: AMESOS2" << std::endl;
Teuchos::ParameterList paramList; //unused
coarseProto = rcp( new Amesos2Smoother("Superlu", paramList) );
#else
std::cout << "AMESOS2 not available (try --coarseSolver=ifpack2)" << std::endl;
return EXIT_FAILURE;
#endif // HAVE_MUELU_TPETRA && HAVE_MUELU_AMESOS2
} else if(coarseSolver=="ifpack2") {
#if defined(HAVE_MUELU_TPETRA) && defined(HAVE_MUELU_IFPACK2)
if (comm->getRank() == 0) std::cout << "CoarseGrid: IFPACK2" << std::endl;
Teuchos::ParameterList ifpack2List;
ifpack2List.set("fact: ilut level-of-fill",99); // TODO ??
ifpack2List.set("fact: drop tolerance", 0);
ifpack2List.set("fact: absolute threshold", 0);
ifpack2List.set("fact: relative threshold", 0);
coarseProto = rcp( new Ifpack2Smoother("ILUT",ifpack2List) );
#else
std::cout << "IFPACK2 not available (try --coarseSolver=amesos2)" << std::endl;
return EXIT_FAILURE;
#endif
} else {
std::cout << "Unknow coarse grid solver (try --coarseSolver=ifpack2 or --coarseSolver=amesos2)" << std::endl;
return EXIT_FAILURE;
}
}
if (coarseProto == Teuchos::null) {
throw(MueLu::Exceptions::RuntimeError("main: coarse smoother error"));
}
SmootherFactory coarseSolveFact(coarseProto);
H->SetCoarsestSolver(coarseSolveFact,MueLu::PRE);
// Define RHS
RCP<MultiVector> X = MultiVectorFactory::Build(map,1);
RCP<MultiVector> RHS = MultiVectorFactory::Build(map,1);
X->setSeed(846930886);
X->randomize();
X->norm2(norms);
if (comm->getRank() == 0)
std::cout << "||X_true|| = " << std::setiosflags(std::ios::fixed) << std::setprecision(10) << norms[0] << std::endl;
Op->apply(*X,*RHS,Teuchos::NO_TRANS,(SC)1.0,(SC)0.0);
// Use AMG directly as an iterative method
{
X->putScalar( (SC) 0.0);
H->PrintResidualHistory(true);
H->Iterate(*RHS,*X,its);
X->norm2(norms);
if (comm->getRank() == 0)
std::cout << "||X_" << std::setprecision(2) << its << "|| = " << std::setiosflags(std::ios::fixed) << std::setprecision(10) << norms[0] << std::endl;
}
return EXIT_SUCCESS;
}
