//EpetraVector_To_TpetraVectorNonConst: copies Epetra_Vector to non-const Tpetra_Vector
Teuchos::RCP<Tpetra_Vector> Petra::EpetraVector_To_TpetraVectorNonConst(const Epetra_Vector& epetraVector_,
const Teuchos::RCP<const Teuchos::Comm<int> >& commT_)
{
//get map from epetraVector_ and convert to Tpetra::Map
auto mapT = EpetraMap_To_TpetraMap(epetraVector_.Map(), commT_);
ST *values;
epetraVector_.ExtractView(&values);
Teuchos::ArrayView<ST> valuesAV = Teuchos::arrayView(values, mapT->getNodeNumElements());
Teuchos::RCP<Tpetra_Vector> tpetraVector_ = Teuchos::rcp(new Tpetra_Vector(mapT, valuesAV));
return tpetraVector_;
}
bool CheckConsistency() {
if(getStridedBlockId() == -1) {
//if(isContiguous() == false) return false;
if(getNodeNumElements() % getFixedBlockSize() != 0) return false;
if(getGlobalNumElements() % getFixedBlockSize() != 0) return false;
}
else {
Teuchos::ArrayView< const GlobalOrdinal > dofGids = getNodeElementList();
//std::sort(dofGids.begin(),dofGids.end());
// determine nStridedOffset
size_t nStridedOffset = 0;
for(int j=0; j<stridedBlockId_; j++) {
nStridedOffset += stridingInfo_[j];
}
//size_t nDofsPerNode = stridingInfo_[stridedBlockId_];
const GlobalOrdinal goStridedOffset = Teuchos::as<GlobalOrdinal>(nStridedOffset);
const GlobalOrdinal goZeroOffset = (dofGids[0] - nStridedOffset - offset_) / Teuchos::as<GlobalOrdinal>(getFixedBlockSize());
/*printf("goZeroOffset: %i\n",goZeroOffset);
printf("dofGids[0]: %i \n",dofGids[0]);
printf("stridedOffset: %i\n",nStridedOffset);
printf("offset_: %i\n",offset_);
printf("goStridedOffset: %i\n",goStridedOffset);
printf("getFixedBlkSize: %i\n",getFixedBlockSize());*/
GlobalOrdinal cnt = 0;
for(size_t i = 0; i<Teuchos::as<size_t>(dofGids.size())/stridingInfo_[stridedBlockId_]; i+=stridingInfo_[stridedBlockId_]) {
for(size_t j=0; j<stridingInfo_[stridedBlockId_]; j++) {
const GlobalOrdinal gid = dofGids[i+j];
if((gid - Teuchos::as<GlobalOrdinal>(j) - goStridedOffset - offset_) / Teuchos::as<GlobalOrdinal>(getFixedBlockSize()) - goZeroOffset - cnt != 0) {
//std::cout << "gid: " << gid << " GID: " << (gid - Teuchos::as<GlobalOrdinal>(j) - goStridedOffset) / Teuchos::as<GlobalOrdinal>(getFixedBlockSize()) - goZeroOffset - cnt << std::endl;
return false;
}
}
cnt++;
}
}
return true;
}
TEUCHOS_UNIT_TEST_TEMPLATE_4_DECL(CoalesceDropFactory_kokkos, ClassicBlockWithFiltering, Scalar, LocalOrdinal, GlobalOrdinal, Node)
{
# include "MueLu_UseShortNames.hpp"
MUELU_TESTING_SET_OSTREAM;
MUELU_TESTING_LIMIT_SCOPE(Scalar,GlobalOrdinal,NO);
out << "version: " << MueLu::Version() << std::endl;
RCP<const Teuchos::Comm<int> > comm = Parameters::getDefaultComm();
Xpetra::UnderlyingLib lib = TestHelpers_kokkos::Parameters::getLib();
Level fineLevel;
TestHelpers_kokkos::TestFactory<SC,LO,GO,NO>::createSingleLevelHierarchy(fineLevel);
auto dofMap = MapFactory::Build(lib, 3*comm->getSize(), 0, comm);
auto mtx = TestHelpers_kokkos::TestFactory<SC,LO,GO,NO>::BuildTridiag(dofMap, 2.0, -1.0, 0.00001);
mtx->SetFixedBlockSize(3, 0);
fineLevel.Set("A", mtx);
CoalesceDropFactory_kokkos dropFact = CoalesceDropFactory_kokkos();
dropFact.SetParameter("aggregation: drop tol", Teuchos::ParameterEntry(1.0));
fineLevel.Request("Graph", &dropFact);
fineLevel.Request("DofsPerNode", &dropFact);
fineLevel.Request("Filtering", &dropFact);
dropFact.Build(fineLevel);
auto graph = fineLevel.Get<RCP<LWGraph_kokkos> >("Graph", &dropFact);
auto myDofsPerNode = fineLevel.Get<LO> ("DofsPerNode", &dropFact);
auto filtering = fineLevel.Get<bool> ("Filtering", &dropFact);
TEST_EQUALITY(as<int>(myDofsPerNode) == 3, true);
TEST_EQUALITY(filtering, true);
TEST_EQUALITY(as<int>(graph->GetDomainMap()->getGlobalNumElements()) == comm->getSize(), true);
TEST_EQUALITY(graph->getNeighborVertices(0).size(), 1);
auto myImportMap = graph->GetImportMap(); // < note that the ImportMap is built from the column map of the matrix A WITHOUT dropping!
auto myDomainMap = graph->GetDomainMap();
TEST_EQUALITY(myImportMap->getMaxAllGlobalIndex(), comm->getSize()-1);
TEST_EQUALITY(myImportMap->getMinAllGlobalIndex(), 0);
TEST_EQUALITY(myImportMap->getMinLocalIndex(), 0);
TEST_EQUALITY(myImportMap->getGlobalNumElements(), as<size_t>(comm->getSize()+2*(comm->getSize()-1)));
if (comm->getSize() > 1) {
size_t numLocalRowMapElts = graph->GetNodeNumVertices();
size_t numLocalImportElts = myImportMap->getNodeNumElements();
if (comm->getRank() == 0 || comm->getRank() == comm->getSize()-1) {
TEST_EQUALITY(numLocalImportElts, numLocalRowMapElts+1);
} else {
TEST_EQUALITY(numLocalImportElts, numLocalRowMapElts+2);
}
}
TEST_EQUALITY(myDomainMap->getMaxAllGlobalIndex(), comm->getSize()-1);
TEST_EQUALITY(myDomainMap->getMinAllGlobalIndex(), 0);
TEST_EQUALITY(myDomainMap->getMaxLocalIndex(), 0);
TEST_EQUALITY(myDomainMap->getMinLocalIndex(), 0);
TEST_EQUALITY(myDomainMap->getGlobalNumElements(), as<size_t>(comm->getSize()));
TEST_EQUALITY(myDomainMap->getNodeNumElements(), 1);
}
int main(int argc, char *argv[])
{
Teuchos::oblackholestream blackhole;
Teuchos::GlobalMPISession mpiSession(&argc,&argv,&blackhole);
//
// Get the default communicator and node
//
auto &platform = Tpetra::DefaultPlatform::getDefaultPlatform();
auto comm = platform.getComm();
auto node = platform.getNode();
const int myImageID = comm->getRank();
const int numImages = comm->getSize();
const bool verbose = (myImageID==0);
//
// Say hello, print some communicator info
//
if (verbose) {
std::cout << "\n" << Tpetra::version() << std::endl;
std::cout << "Comm info: " << *comm;
std::cout << "Node type: " << Teuchos::typeName(*node) << std::endl;
std::cout << std::endl;
}
//
// Create a simple map for domain and range
//
Tpetra::global_size_t numGlobalRows = 1000*numImages;
auto map = Tpetra::createUniformContigMapWithNode<int,int>(numGlobalRows, comm, node);
auto x = Tpetra::createVector<double>(map),
y = Tpetra::createVector<double>(map);
// Create a simple diagonal operator using lambda function
auto fTwoOp = Tpetra::RTI::binaryOp<double>( [](double /*y*/, double x) { return 2.0 * x; } , map );
// y = 3*fTwoOp*x + 2*y = 3*2*1 + 2*1 = 8
x->putScalar(1.0);
y->putScalar(1.0);
fTwoOp->apply( *x, *y, Teuchos::NO_TRANS, 3.0, 2.0 );
// check that y == eights
double norm = y->norm1();
if (verbose) {
std::cout << "Tpetra::RTI::binaryOp" << std::endl
<< "norm(y) result == " << std::setprecision(2) << std::scientific << norm
<< ", expected value is " << numGlobalRows * 8.0 << std::endl;
}
//
// Create a finite-difference stencil using a Kokkos kernel and non-trivial maps
//
decltype(map) colmap;
if (numImages > 1) {
Teuchos::Array<int> colElements;
Teuchos::ArrayView<const int> rowElements = map->getNodeElementList();
// This isn't the most efficient Map/Import layout, but it makes for a very straight-forward kernel
if (myImageID != 0) colElements.push_back( map->getMinGlobalIndex() - 1 );
colElements.insert(colElements.end(), rowElements.begin(), rowElements.end());
if (myImageID != numImages-1) colElements.push_back( map->getMaxGlobalIndex() + 1 );
colmap = Tpetra::createNonContigMapWithNode<int,int>(colElements(), comm, node);
}
else {
colmap = map;
}
auto importer = createImport(map,colmap);
// Finite-difference kernel = tridiag(-1, 2, -1)
FDStencil<double> kern(myImageID, numImages, map->getNodeNumElements(), -1.0, 2.0, -1.0);
auto FDStencilOp = Tpetra::RTI::kernelOp<double>( kern, map, map, importer );
// x = ones(), FD(x) = [1 zeros() 1]
FDStencilOp->apply( *x, *y );
norm = y->norm1();
if (verbose) {
std::cout << std::endl
<< "TpetraExamples::FDStencil" << std::endl
<< "norm(y) result == " << std::setprecision(2) << std::scientific << norm
<< ", expected value is " << 2.0 << std::endl;
}
std::cout << "\nEnd Result: TEST PASSED" << std::endl;
return 0;
}
