Teuchos::RCP<const Tpetra::Map<LO,GO,Node> >
  createMeshMap (const LO& blockSize, const Tpetra::Map<LO,GO,Node>& pointMap)
  {
    typedef Teuchos::OrdinalTraits<Tpetra::global_size_t> TOT;
    typedef Tpetra::Map<LO,GO,Node> map_type;

    //calculate mesh GIDs
    Teuchos::ArrayView<const GO> pointGids = pointMap.getNodeElementList();
    Teuchos::Array<GO> meshGids;
    GO indexBase = pointMap.getIndexBase();

    // Use hash table to track whether we've encountered this GID previously.  This will happen
    // when striding through the point DOFs in a block.  It should not happen otherwise.
    // I don't use sort/make unique because I don't want to change the ordering.
    meshGids.reserve(pointGids.size());
    Tpetra::Details::HashTable<GO,int> hashTable(pointGids.size());
    for (int i=0; i<pointGids.size(); ++i) {
      GO meshGid = (pointGids[i]-indexBase) / blockSize + indexBase;
      if (hashTable.get(meshGid) == -1) {
        hashTable.add(meshGid,1);   //(key,value)
        meshGids.push_back(meshGid);
      }
    }

    Teuchos::RCP<const map_type> meshMap = Teuchos::rcp( new map_type(TOT::invalid(), meshGids(), 0, pointMap.getComm()) );
    return meshMap;

  }
コード例 #2
0
Teuchos::Array<EpetraGlobalIndex> getMyLIDs(
    const Epetra_BlockMap &map,
    const Teuchos::ArrayView<const EpetraGlobalIndex> &selectedGIDs)
{
  Teuchos::Array<EpetraGlobalIndex> sortedMyGIDs(map.MyGlobalElements(), map.MyGlobalElements() + map.NumMyElements());
  std::sort(sortedMyGIDs.begin(), sortedMyGIDs.end());

  Teuchos::Array<EpetraGlobalIndex> sortedSelectedGIDs(selectedGIDs);
  std::sort(sortedSelectedGIDs.begin(), sortedSelectedGIDs.end());

  Teuchos::Array<EpetraGlobalIndex> mySelectedGIDs;
  std::set_intersection(sortedMyGIDs.begin(), sortedMyGIDs.end(),
                        sortedSelectedGIDs.begin(), sortedSelectedGIDs.end(),
                        std::back_inserter(mySelectedGIDs));

  Teuchos::Array<EpetraGlobalIndex> result;
  result.reserve(mySelectedGIDs.size());

  std::transform(
      mySelectedGIDs.begin(), mySelectedGIDs.end(),
      std::back_inserter(result),
      std::bind1st(std::mem_fun_ref(static_cast<int(Epetra_BlockMap::*)(EpetraGlobalIndex) const>(&Epetra_BlockMap::LID)), map));

  return result;
}
コード例 #3
0
Teuchos::Array<bool> createResponseTable(
    int count,
    const std::string selectionType,
    int index,
    const Teuchos::ArrayView<const int> &list)
{
  Teuchos::Array<bool> result;

  if (count > 0) {
    if (selectionType == "All") {
      result.resize(count, true);
    } else if (selectionType == "Last") {
      result = createResponseTableFromIndex(count - 1, count);
    } else if (selectionType == "AllButLast") {
      result.reserve(count);
      result.resize(count - 1, true);
      result.push_back(false);
    } else if (selectionType == "Index") {
      result = createResponseTableFromIndex(index, count);
    } else if (selectionType == "List") {
      result.resize(count, false);
      for (Teuchos::ArrayView<const int>::const_iterator it = list.begin(), it_end = list.end(); it != it_end; ++it) {
        result.at(*it) = true;
      }
    } else {
      TEUCHOS_TEST_FOR_EXCEPT(false);
    }
  }

  return result;
}
コード例 #4
0
ファイル: Main_Solve.cpp プロジェクト: dlonie/Albany
void epetraFromThyra(
  const Teuchos::RCP<const Epetra_Comm> &comm,
  const Teuchos::Array<Teuchos::RCP<const Thyra::VectorBase<double> > > &thyraResponses,
  const Teuchos::Array<Teuchos::Array<Teuchos::RCP<const Thyra::MultiVectorBase<double> > > > &thyraSensitivities,
  Teuchos::Array<Teuchos::RCP<const Epetra_Vector> > &responses,
  Teuchos::Array<Teuchos::Array<Teuchos::RCP<const Epetra_MultiVector> > > &sensitivities)
{
  responses.clear();
  responses.reserve(thyraResponses.size());
  typedef Teuchos::Array<Teuchos::RCP<const Thyra::VectorBase<double> > > ThyraResponseArray;
  for (ThyraResponseArray::const_iterator it_begin = thyraResponses.begin(),
      it_end = thyraResponses.end(),
      it = it_begin;
      it != it_end;
      ++it) {
    responses.push_back(epetraVectorFromThyra(comm, *it));
  }

  sensitivities.clear();
  sensitivities.reserve(thyraSensitivities.size());
  typedef Teuchos::Array<Teuchos::Array<Teuchos::RCP<const Thyra::MultiVectorBase<double> > > > ThyraSensitivityArray;
  for (ThyraSensitivityArray::const_iterator it_begin = thyraSensitivities.begin(),
      it_end = thyraSensitivities.end(),
      it = it_begin;
      it != it_end;
      ++it) {
    ThyraSensitivityArray::const_reference sens_thyra = *it;
    Teuchos::Array<Teuchos::RCP<const Epetra_MultiVector> > sens;
    sens.reserve(sens_thyra.size());
    for (ThyraSensitivityArray::value_type::const_iterator jt = sens_thyra.begin(),
        jt_end = sens_thyra.end();
        jt != jt_end;
        ++jt) {
        sens.push_back(epetraMultiVectorFromThyra(comm, *jt));
    }
    sensitivities.push_back(sens);
  }
}
コード例 #5
0
ファイル: felix_driver.cpp プロジェクト: csamples/Albany
void tpetraFromThyra(
  const Teuchos::Array<Teuchos::RCP<const Thyra::VectorBase<ST> > > &thyraResponses,
  const Teuchos::Array<Teuchos::Array<Teuchos::RCP<const Thyra::MultiVectorBase<ST> > > > &thyraSensitivities,
  Teuchos::Array<Teuchos::RCP<const Tpetra_Vector> > &responses,
  Teuchos::Array<Teuchos::Array<Teuchos::RCP<const Tpetra_MultiVector> > > &sensitivities)
{
  responses.clear();
  responses.reserve(thyraResponses.size());
  typedef Teuchos::Array<Teuchos::RCP<const Thyra::VectorBase<ST> > > ThyraResponseArray;
  for (ThyraResponseArray::const_iterator it_begin = thyraResponses.begin(),
      it_end = thyraResponses.end(),
      it = it_begin;
      it != it_end;
      ++it) {
    responses.push_back(Teuchos::nonnull(*it) ? ConverterT::getConstTpetraVector(*it) : Teuchos::null);
  }

  sensitivities.clear();
  sensitivities.reserve(thyraSensitivities.size());
  typedef Teuchos::Array<Teuchos::Array<Teuchos::RCP<const Thyra::MultiVectorBase<ST> > > > ThyraSensitivityArray;
  for (ThyraSensitivityArray::const_iterator it_begin = thyraSensitivities.begin(),
      it_end = thyraSensitivities.end(),
      it = it_begin;
      it != it_end;
      ++it) {
  ThyraSensitivityArray::const_reference sens_thyra = *it;
    Teuchos::Array<Teuchos::RCP<const Tpetra_MultiVector> > sens;
    sens.reserve(sens_thyra.size());
    for (ThyraSensitivityArray::value_type::const_iterator jt = sens_thyra.begin(),
        jt_end = sens_thyra.end();
        jt != jt_end;
        ++jt) {
        sens.push_back(Teuchos::nonnull(*jt) ? ConverterT::getConstTpetraMultiVector(*jt) : Teuchos::null);
    }
    sensitivities.push_back(sens);
  }
}
  void blockCrsMatrixWriter(BlockCrsMatrix<Scalar,LO,GO,Node> const &A, std::ostream &os, Teuchos::ParameterList const &params) {

    using Teuchos::RCP;
    using Teuchos::rcp;

    typedef Teuchos::OrdinalTraits<GO>                     TOT;
    typedef BlockCrsMatrix<Scalar, LO, GO, Node>           block_crs_matrix_type;
    typedef Tpetra::Import<LO, GO, Node>                   import_type;
    typedef Tpetra::Map<LO, GO, Node>                      map_type;
    typedef Tpetra::MultiVector<GO, LO, GO, Node>          mv_type;
    typedef Tpetra::CrsGraph<LO, GO, Node>                 crs_graph_type;

    RCP<const map_type> const rowMap = A.getRowMap(); //"mesh" map
    RCP<const Teuchos::Comm<int> > comm = rowMap->getComm();
    const int myRank = comm->getRank();
    const size_t numProcs = comm->getSize();

    // If true, force use of the import strip-mining infrastructure.  This is useful for debugging on one process.
    bool alwaysUseParallelAlgorithm = false;
    if (params.isParameter("always use parallel algorithm"))
      alwaysUseParallelAlgorithm = params.get<bool>("always use parallel algorithm");
    bool printMatrixMarketHeader = true;
    if (params.isParameter("print MatrixMarket header"))
      printMatrixMarketHeader = params.get<bool>("print MatrixMarket header");

    if (printMatrixMarketHeader && myRank==0) {
      std::time_t now = std::time(NULL);

      const std::string dataTypeStr =
        Teuchos::ScalarTraits<Scalar>::isComplex ? "complex" : "real";

      // Explanation of first line of file:
      // - "%%MatrixMarket" is the tag for Matrix Market format.
      // - "matrix" is what we're printing.
      // - "coordinate" means sparse (triplet format), rather than dense.
      // - "real" / "complex" is the type (in an output format sense,
      //   not in a C++ sense) of each value of the matrix.  (The
      //   other two possibilities are "integer" (not really necessary
      //   here) and "pattern" (no values, just graph).)
      os << "%%MatrixMarket matrix coordinate " << dataTypeStr << " general" << std::endl;
      os << "% time stamp: " << ctime(&now);
      os << "% written from " << numProcs << " processes" << std::endl;
      os << "% point representation of Tpetra::Experimental::BlockCrsMatrix" << std::endl;
      size_t numRows = A.getGlobalNumRows();
      size_t numCols = A.getGlobalNumCols();
      os << "% " << numRows << " block rows, " << numCols << " block columns" << std::endl;
      const LO blockSize = A.getBlockSize();
      os << "% block size " << blockSize << std::endl;
      os << numRows*blockSize << " " << numCols*blockSize << " " << A.getGlobalNumEntries()*blockSize*blockSize << std::endl;
    }

    if (numProcs==1 && !alwaysUseParallelAlgorithm) {
      writeMatrixStrip(A,os,params);
    } else {
      size_t numRows = rowMap->getNodeNumElements();

      //Create source map
      RCP<const map_type> allMeshGidsMap = rcp(new map_type(TOT::invalid(), numRows, A.getIndexBase(), comm));
      //Create and populate vector of mesh GIDs corresponding to this pid's rows.
      //This vector will be imported one pid's worth of information at a time to pid 0.
      mv_type allMeshGids(allMeshGidsMap,1);
      Teuchos::ArrayRCP<GO> allMeshGidsData = allMeshGids.getDataNonConst(0);

      for (size_t i=0; i<numRows; i++)
        allMeshGidsData[i] = rowMap->getGlobalElement(i);
      allMeshGidsData = Teuchos::null;

      // Now construct a RowMatrix on PE 0 by strip-mining the rows of the input matrix A.
      size_t stripSize = allMeshGids.getGlobalLength() / numProcs;
      size_t remainder = allMeshGids.getGlobalLength() % numProcs;
      size_t curStart = 0;
      size_t curStripSize = 0;
      Teuchos::Array<GO> importMeshGidList;
      for (size_t i=0; i<numProcs; i++) {
        if (myRank==0) { // Only PE 0 does this part
          curStripSize = stripSize;
          if (i<remainder) curStripSize++; // handle leftovers
          importMeshGidList.resize(curStripSize); // Set size of vector to max needed
          for (size_t j=0; j<curStripSize; j++) importMeshGidList[j] = j + curStart + A.getIndexBase();
          curStart += curStripSize;
        }
        // The following import map should be non-trivial only on PE 0.
        TEUCHOS_TEST_FOR_EXCEPTION(myRank>0 && curStripSize!=0,
          std::runtime_error, "Tpetra::Experimental::blockCrsMatrixWriter: (pid "
          << myRank << ") map size should be zero, but is " << curStripSize);
        RCP<map_type> importMeshGidMap = rcp(new map_type(TOT::invalid(), importMeshGidList(), A.getIndexBase(), comm));
        import_type gidImporter(allMeshGidsMap, importMeshGidMap);
        mv_type importMeshGids(importMeshGidMap, 1);
        importMeshGids.doImport(allMeshGids, gidImporter, INSERT);

        // importMeshGids now has a list of GIDs for the current strip of matrix rows.
        // Use these values to build another importer that will get rows of the matrix.

        // The following import map will be non-trivial only on PE 0.
        Teuchos::ArrayRCP<const GO> importMeshGidsData = importMeshGids.getData(0);
        Teuchos::Array<GO> importMeshGidsGO;
        importMeshGidsGO.reserve(importMeshGidsData.size());
        for (typename Teuchos::ArrayRCP<const GO>::size_type j=0; j<importMeshGidsData.size(); ++j)
          importMeshGidsGO.push_back(importMeshGidsData[j]);
        RCP<const map_type> importMap = rcp(new map_type(TOT::invalid(), importMeshGidsGO(), rowMap->getIndexBase(), comm) );

        import_type importer(rowMap,importMap );
        size_t numEntriesPerRow = A.getCrsGraph().getGlobalMaxNumRowEntries();
        RCP<crs_graph_type> graph = createCrsGraph(importMap,numEntriesPerRow);
        RCP<const map_type> domainMap = A.getCrsGraph().getDomainMap();
        graph->doImport(A.getCrsGraph(), importer, INSERT);
        graph->fillComplete(domainMap, importMap);

        block_crs_matrix_type importA(*graph, A.getBlockSize());
        importA.doImport(A, importer, INSERT);

        // Finally we are ready to write this strip of the matrix
        writeMatrixStrip(importA, os, params);
      }
    }
  }
コード例 #7
0
int main(int argc, char *argv[])
{
  // Communicators
  Teuchos::GlobalMPISession mpiSession(&argc, &argv);
  const Albany_MPI_Comm nativeComm = Albany_MPI_COMM_WORLD;
  const RCP<const Teuchos::Comm<int> > teuchosComm = Albany::createTeuchosCommFromMpiComm(nativeComm);

  // Standard output
  const RCP<Teuchos::FancyOStream> out = Teuchos::VerboseObjectBase::getDefaultOStream();

  // Parse command-line argument for input file
  const std::string firstArg = (argc > 1) ? argv[1] : "";
  if (firstArg.empty() || firstArg == "--help") {
    *out << "AlbanyRBGen input-file-path\n";
    return 0;
  }
  const std::string inputFileName = argv[1];

  // Parse XML input file
  const RCP<Teuchos::ParameterList> topLevelParams = Teuchos::createParameterList("Albany Parameters");
  Teuchos::updateParametersFromXmlFileAndBroadcast(inputFileName, topLevelParams.ptr(), *teuchosComm);

  const bool sublistMustExist = true;

  // Setup discretization factory
  const RCP<Teuchos::ParameterList> discParams = Teuchos::sublist(topLevelParams, "Discretization", sublistMustExist);
  TEUCHOS_TEST_FOR_EXCEPT(discParams->get<std::string>("Method") != "Ioss");
  const std::string outputParamLabel = "Exodus Output File Name";
  const std::string sampledOutputParamLabel = "Reference Exodus Output File Name";
  const RCP<const Teuchos::ParameterEntry> reducedOutputParamEntry = getEntryCopy(*discParams, outputParamLabel);
  const RCP<const Teuchos::ParameterEntry> sampledOutputParamEntry = getEntryCopy(*discParams, sampledOutputParamLabel);
  discParams->remove(outputParamLabel, /*throwIfNotExists =*/ false);
  discParams->remove(sampledOutputParamLabel, /*throwIfNotExists =*/ false);
  const RCP<const Teuchos::ParameterList> discParamsCopy = Teuchos::rcp(new Teuchos::ParameterList(*discParams));

  const RCP<Teuchos::ParameterList> problemParams = Teuchos::sublist(topLevelParams, "Problem", sublistMustExist);
  const RCP<const Teuchos::ParameterList> problemParamsCopy = Teuchos::rcp(new Teuchos::ParameterList(*problemParams));

  // Create original (full) discretization
  const RCP<Albany::AbstractDiscretization> disc = Albany::discretizationNew(topLevelParams, teuchosComm);

  // Determine mesh sample
  const RCP<Teuchos::ParameterList> samplingParams = Teuchos::sublist(topLevelParams, "Mesh Sampling", sublistMustExist);
  const int firstVectorRank = samplingParams->get("First Vector Rank", 0);
  const Teuchos::Ptr<const int> basisSizeMax = Teuchos::ptr(samplingParams->getPtr<int>("Basis Size Max"));
  const int sampleSize = samplingParams->get("Sample Size", 0);

  *out << "Sampling " << sampleSize << " nodes";
  if (Teuchos::nonnull(basisSizeMax)) {
    *out << " based on no more than " << *basisSizeMax << " basis vectors";
  }
  if (firstVectorRank != 0) {
    *out << " starting from vector rank " << firstVectorRank;
  }
  *out << "\n";

  const RCP<Albany::STKDiscretization> stkDisc =
    Teuchos::rcp_dynamic_cast<Albany::STKDiscretization>(disc, /*throw_on_fail =*/ true);
  const RCP<MOR::AtomicBasisSource> rawBasisSource = Teuchos::rcp(new Albany::StkNodalBasisSource(stkDisc));
  const RCP<MOR::AtomicBasisSource> basisSource = Teuchos::rcp(
      Teuchos::nonnull(basisSizeMax) ?
      new MOR::WindowedAtomicBasisSource(rawBasisSource, firstVectorRank, *basisSizeMax) :
      new MOR::WindowedAtomicBasisSource(rawBasisSource, firstVectorRank)
      );

  MOR::CollocationMetricCriterionFactory criterionFactory(samplingParams);
  const Teuchos::RCP<const MOR::CollocationMetricCriterion> criterion =
    criterionFactory.instanceNew(basisSource->entryCountMax());
  const Teuchos::RCP<MOR::GreedyAtomicBasisSample> sampler(new MOR::GreedyAtomicBasisSample(*basisSource, criterion));
  sampler->sampleSizeInc(sampleSize);

  Teuchos::Array<stk::mesh::EntityId> sampleNodeIds;
  const Teuchos::ArrayView<const int> sampleAtoms = sampler->sample();
  sampleNodeIds.reserve(sampleAtoms.size());
  for (Teuchos::ArrayView<const int>::const_iterator it = sampleAtoms.begin(), it_end = sampleAtoms.end(); it != it_end; ++it) {
    sampleNodeIds.push_back(*it + 1);
  }

  *out << "Sample = " << sampleNodeIds << "\n";

  // Choose first sample node as sensor
  const Teuchos::ArrayView<const stk::mesh::EntityId> sensorNodeIds = sampleNodeIds.view(0, 1);

  const Teuchos::Array<std::string> additionalNodeSets =
    Teuchos::tuple(std::string("sample_nodes"), std::string("sensors"));

  // Create sampled discretization
  if (Teuchos::nonnull(sampledOutputParamEntry)) {
    const RCP<Teuchos::ParameterList> discParamsLocalCopy = Teuchos::rcp(new Teuchos::ParameterList(*discParamsCopy));
    discParamsLocalCopy->setEntry("Exodus Output File Name", *sampledOutputParamEntry);
    discParamsLocalCopy->set("Additional Node Sets", additionalNodeSets);
    topLevelParams->set("Discretization", *discParamsLocalCopy);
    topLevelParams->set("Problem", *problemParamsCopy);

    const bool performReduction = false;
    const RCP<Albany::AbstractDiscretization> sampledDisc =
      sampledDiscretizationNew(topLevelParams, teuchosComm, sampleNodeIds, sensorNodeIds, performReduction);

    if (Teuchos::nonnull(basisSizeMax)) {
      transferSolutionHistory(*stkDisc, *sampledDisc, *basisSizeMax + firstVectorRank);
    } else {
      transferSolutionHistory(*stkDisc, *sampledDisc);
    }
  }

  // Create reduced discretization
  if (Teuchos::nonnull(reducedOutputParamEntry)) {
    const RCP<Teuchos::ParameterList> discParamsLocalCopy = Teuchos::rcp(new Teuchos::ParameterList(*discParamsCopy));
    discParamsLocalCopy->setEntry("Exodus Output File Name", *reducedOutputParamEntry);
    discParamsLocalCopy->set("Additional Node Sets", additionalNodeSets);
    topLevelParams->set("Discretization", *discParamsLocalCopy);
    topLevelParams->set("Problem", *problemParamsCopy);

    const bool performReduction = true;
    const RCP<Albany::AbstractDiscretization> reducedDisc =
      sampledDiscretizationNew(topLevelParams, teuchosComm, sampleNodeIds, sensorNodeIds, performReduction);

    if (Teuchos::nonnull(basisSizeMax)) {
      transferSolutionHistory(*stkDisc, *reducedDisc, *basisSizeMax + firstVectorRank);
    } else {
      transferSolutionHistory(*stkDisc, *reducedDisc);
    }
  }
}