MueLu_AdaptiveSaMLParameterListInterpreter_def.hpp

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// @HEADER
// *****************************************************************************
//        MueLu: A package for multigrid based preconditioning
//
// Copyright 2012 NTESS and the MueLu contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
/*
 * MueLu_AdaptiveSaMLParamterListInterpreter_def.hpp
 *
 *  Created on: Jan 28, 2013
 *      Author: tobias
 */
 
#ifndef MUELU_ADAPTIVESAMLPARAMETERLISTINTERPRETER_DEF_HPP_
#define MUELU_ADAPTIVESAMLPARAMETERLISTINTERPRETER_DEF_HPP_
 
#include <Teuchos_XMLParameterListHelpers.hpp>
 
#include "MueLu_ConfigDefs.hpp"
 
#include <Xpetra_Matrix.hpp>
#include <Xpetra_MultiVector.hpp>
#include <Xpetra_MultiVectorFactory.hpp>
#include <Xpetra_Operator.hpp>
#include <Xpetra_IO.hpp>
 
#include "MueLu_AdaptiveSaMLParameterListInterpreter_decl.hpp"
 
#include "MueLu_Level.hpp"
#include "MueLu_Hierarchy.hpp"
#include "MueLu_FactoryManager.hpp"
 
#include "MueLu_TentativePFactory.hpp"
#include "MueLu_SaPFactory.hpp"
#include "MueLu_PgPFactory.hpp"
#include "MueLu_TransPFactory.hpp"
#include "MueLu_GenericRFactory.hpp"
#include "MueLu_SmootherPrototype.hpp"
#include "MueLu_SmootherFactory.hpp"
#include "MueLu_TrilinosSmoother.hpp"
#include "MueLu_HierarchyUtils.hpp"
#include "MueLu_RAPFactory.hpp"
#include "MueLu_CoalesceDropFactory.hpp"
#include "MueLu_UncoupledAggregationFactory.hpp"
#include "MueLu_NullspaceFactory.hpp"
#include "MueLu_ParameterListUtils.hpp"
#include "MueLu_ParameterListInterpreter.hpp"
 
//#include "MueLu_Utilities.hpp"
 
#include "MueLu_DisableMultipleCallCheck.hpp"
 
// Note: do not add options that are only recognized by MueLu.
 
// TODO: this parameter list interpreter should force MueLu to use default ML parameters
// - Ex: smoother sweep=2 by default for ML
 
// Read a parameter value from a parameter list and store it into a variable named 'varName'
#define MUELU_READ_PARAM(paramList, paramStr, varType, defaultValue, varName) \
  varType varName = defaultValue;                                             \
  if (paramList.isParameter(paramStr)) varName = paramList.get<varType>(paramStr);
 
// Read a parameter value from a paraeter list and copy it into a new parameter list (with another parameter name)
#define MUELU_COPY_PARAM(paramList, paramStr, varType, defaultValue, outParamList, outParamStr) \
  if (paramList.isParameter(paramStr))                                                          \
    outParamList.set<varType>(outParamStr, paramList.get<varType>(paramStr));                   \
  else                                                                                          \
    outParamList.set<varType>(outParamStr, defaultValue);
 
namespace MueLu {
 
namespace AdaptiveDetails {
template <class SC, class LO, class GO, class NO>
Teuchos::RCP<MueLu::SmootherFactory<SC, LO, GO, NO> > getSmoother(Teuchos::ParameterList& list) {
  using SF = MueLu::SmootherFactory<SC, LO, GO, NO>;
  ParameterListInterpreter interpreter(list);
  return Teuchos::rcp_const_cast<SF>(Teuchos::rcp_dynamic_cast<const SF>(interpreter.GetFactoryManager(0)->GetFactory("Smoother")));
}
}  // namespace AdaptiveDetails
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
AdaptiveSaMLParameterListInterpreter<Scalar, LocalOrdinal, GlobalOrdinal, Node>::AdaptiveSaMLParameterListInterpreter(Teuchos::ParameterList& paramList, std::vector<RCP<FactoryBase> > factoryList)
  : TransferFacts_(factoryList)
  , blksize_(1) {
  SetParameterList(paramList);
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
AdaptiveSaMLParameterListInterpreter<Scalar, LocalOrdinal, GlobalOrdinal, Node>::AdaptiveSaMLParameterListInterpreter(const std::string& xmlFileName, std::vector<RCP<FactoryBase> > factoryList)
  : nullspace_(NULL)
  , TransferFacts_(factoryList)
  , blksize_(1) {
  Teuchos::RCP<Teuchos::ParameterList> paramList = Teuchos::getParametersFromXmlFile(xmlFileName);
  SetParameterList(*paramList);
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void AdaptiveSaMLParameterListInterpreter<Scalar, LocalOrdinal, GlobalOrdinal, Node>::SetParameterList(const Teuchos::ParameterList& paramList_in) {
  Teuchos::ParameterList paramList = paramList_in;
 
  RCP<Teuchos::FancyOStream> out = Teuchos::fancyOStream(Teuchos::rcpFromRef(std::cout));  // TODO: use internal out (GetOStream())
 
  //
  // Read top-level of the parameter list
  //
 
  // hard-coded default values == ML defaults according to the manual
  MUELU_READ_PARAM(paramList, "ML output", int, 0, verbosityLevel);
  MUELU_READ_PARAM(paramList, "max levels", int, 10, maxLevels);
  MUELU_READ_PARAM(paramList, "PDE equations", int, 1, nDofsPerNode);
 
  MUELU_READ_PARAM(paramList, "coarse: max size", int, 128, maxCoarseSize);
 
  MUELU_READ_PARAM(paramList, "aggregation: type", std::string, "Uncoupled", agg_type);
  // MUELU_READ_PARAM(paramList, "aggregation: threshold",                double,                 0.0,       agg_threshold);
  MUELU_READ_PARAM(paramList, "aggregation: damping factor", double, (double)4 / (double)3, agg_damping);
  // MUELU_READ_PARAM(paramList, "aggregation: smoothing sweeps",            int,                   1,       agg_smoothingsweeps);
  MUELU_READ_PARAM(paramList, "aggregation: nodes per aggregate", int, 1, minPerAgg);
 
  MUELU_READ_PARAM(paramList, "null space: type", std::string, "default vectors", nullspaceType);
  MUELU_READ_PARAM(paramList, "null space: dimension", int, -1, nullspaceDim);      // TODO: ML default not in documentation
  MUELU_READ_PARAM(paramList, "null space: vectors", double*, NULL, nullspaceVec);  // TODO: ML default not in documentation
 
  MUELU_READ_PARAM(paramList, "energy minimization: enable", bool, false, bEnergyMinimization);
 
  //
  // Move smoothers/aggregation/coarse parameters to sublists
  //
 
  // ML allows to have level-specific smoothers/aggregation/coarse parameters at the top level of the list or/and defined in sublists:
  // See also: ML Guide section 6.4.1, MueLu::CreateSublists, ML_CreateSublists
  ParameterList paramListWithSubList;
  MueLu::CreateSublists(paramList, paramListWithSubList);
  paramList = paramListWithSubList;  // swap
 
  // std::cout << std::endl << "Parameter list after CreateSublists" << std::endl;
  // std::cout << paramListWithSubList << std::endl;
 
  int maxNbrAlreadySelected = 0;
 
  // Matrix option
  this->blksize_ = nDofsPerNode;
 
  // Translate verbosity parameter
  Teuchos::EVerbosityLevel eVerbLevel = Teuchos::VERB_NONE;
  if (verbosityLevel == 0) eVerbLevel = Teuchos::VERB_NONE;
  if (verbosityLevel > 0) eVerbLevel = Teuchos::VERB_LOW;
  if (verbosityLevel > 4) eVerbLevel = Teuchos::VERB_MEDIUM;
  if (verbosityLevel > 7) eVerbLevel = Teuchos::VERB_HIGH;
  if (verbosityLevel > 9) eVerbLevel = Teuchos::VERB_EXTREME;
 
  TEUCHOS_TEST_FOR_EXCEPTION(agg_type != "Uncoupled", Exceptions::RuntimeError, "MueLu::MLParameterListInterpreter::Setup(): parameter \"aggregation: type\": only 'Uncoupled' aggregation is supported.");
 
  // Create MueLu factories
  // RCP<NullspaceFactory>     nspFact = rcp(new NullspaceFactory());
  RCP<CoalesceDropFactory> dropFact = rcp(new CoalesceDropFactory());
  // dropFact->SetVerbLevel(toMueLuVerbLevel(eVerbLevel));
 
  // Uncoupled aggregation
  RCP<UncoupledAggregationFactory> AggFact = rcp(new UncoupledAggregationFactory());
  AggFact->SetMinNodesPerAggregate(minPerAgg);  // TODO should increase if run anything other than 1D
  AggFact->SetMaxNeighAlreadySelected(maxNbrAlreadySelected);
  AggFact->SetOrdering("natural");
 
  if (verbosityLevel > 3) {  // TODO fix me: Setup is a static function: we cannot use GetOStream without an object...
    *out << "========================= Aggregate option summary =========================" << std::endl;
    *out << "min Nodes per aggregate :               " << minPerAgg << std::endl;
    *out << "min # of root nbrs already aggregated : " << maxNbrAlreadySelected << std::endl;
    *out << "aggregate ordering :                    natural" << std::endl;
    *out << "=============================================================================" << std::endl;
  }
 
  RCP<Factory> PFact;
  RCP<Factory> RFact;
  RCP<Factory> PtentFact = rcp(new TentativePFactory());
  if (agg_damping == 0.0 && bEnergyMinimization == false) {
    // tentative prolongation operator (PA-AMG)
    PFact = PtentFact;
    RFact = rcp(new TransPFactory());
  } else if (agg_damping != 0.0 && bEnergyMinimization == false) {
    // smoothed aggregation (SA-AMG)
    RCP<SaPFactory> SaPFact = rcp(new SaPFactory());
    SaPFact->SetParameter("sa: damping factor", ParameterEntry(agg_damping));
    PFact = SaPFact;
    RFact = rcp(new TransPFactory());
  } else if (bEnergyMinimization == true) {
    // Petrov Galerkin PG-AMG smoothed aggregation (energy minimization in ML)
    PFact = rcp(new PgPFactory());
    RFact = rcp(new GenericRFactory());
  }
 
  RCP<RAPFactory> AcFact = rcp(new RAPFactory());
  for (size_t i = 0; i < TransferFacts_.size(); i++) {
    AcFact->AddTransferFactory(TransferFacts_[i]);  // THIS WILL BE REPLACED with a call to the MLParamterListInterpreter
  }
 
  //
  // Nullspace factory
  //
 
  // Set fine level nullspace
  // extract pre-computed nullspace from ML parameter list
  // store it in nullspace_ and nullspaceDim_
  if (nullspaceType != "default vectors") {
    TEUCHOS_TEST_FOR_EXCEPTION(nullspaceType != "pre-computed", Exceptions::RuntimeError, "MueLu::MLParameterListInterpreter: no valid nullspace (no pre-computed null space). error.");
    TEUCHOS_TEST_FOR_EXCEPTION(nullspaceDim == -1, Exceptions::RuntimeError, "MueLu::MLParameterListInterpreter: no valid nullspace (nullspace dim == -1). error.");
    TEUCHOS_TEST_FOR_EXCEPTION(nullspaceVec == NULL, Exceptions::RuntimeError, "MueLu::MLParameterListInterpreter: no valid nullspace (nullspace == NULL). You have to provide a valid fine-level nullspace in \'null space: vectors\'");
 
    nullspaceDim_ = nullspaceDim;
    nullspace_    = nullspaceVec;
  }
 
  Teuchos::RCP<NullspaceFactory> nspFact = Teuchos::rcp(new NullspaceFactory());
  nspFact->SetFactory("Nullspace", PtentFact);
 
  //
  // Hierarchy + FactoryManager
  //
 
  // Hierarchy options
  this->SetVerbLevel(toMueLuVerbLevel(eVerbLevel));
  this->numDesiredLevel_ = maxLevels;
  this->maxCoarseSize_   = maxCoarseSize;
 
  // init smoother
  RCP<SmootherFactory> initSmootherFact = Teuchos::null;
  if (paramList.isSublist("init smoother")) {
    ParameterList& initList = paramList.sublist("init smoother");  // TODO move this before for loop
    initSmootherFact        = AdaptiveDetails::getSmoother<SC, LO, GO, NO>(initList);
  } else {
    std::string ifpackType = "RELAXATION";
    Teuchos::ParameterList smootherParamList;
    smootherParamList.set("relaxation: type", "symmetric Gauss-Seidel");
    smootherParamList.set("smoother: sweeps", 1);
    smootherParamList.set("smoother: damping factor", 1.0);
    RCP<SmootherPrototype> smooProto = rcp(new TrilinosSmoother(ifpackType, smootherParamList, 0));
 
    initSmootherFact = rcp(new SmootherFactory());
    initSmootherFact->SetSmootherPrototypes(smooProto, smooProto);
  }
 
  //
  // Coarse Smoother
  //
  ParameterList& coarseList = paramList.sublist("coarse: list");
  //    coarseList.get("smoother: type", "Amesos-KLU"); // set default
  RCP<SmootherFactory> coarseFact = AdaptiveDetails::getSmoother<SC, LO, GO, NO>(coarseList);
 
  // Smoothers Top Level Parameters
 
  RCP<ParameterList> topLevelSmootherParam = ExtractSetOfParameters(paramList, "smoother");
  // std::cout << std::endl << "Top level smoother parameters:" << std::endl;
  // std::cout << *topLevelSmootherParam << std::endl;
 
  //
 
  // Prepare factory managers
  // TODO: smootherFact can be reuse accross level if same parameters/no specific parameterList
 
  for (int levelID = 0; levelID < maxLevels; levelID++) {
    //
    // Level FactoryManager
    //
 
    RCP<FactoryManager> manager     = rcp(new FactoryManager());
    RCP<FactoryManager> initmanager = rcp(new FactoryManager());
 
    //
    // Smoothers
    //
 
    {
      // Merge level-specific parameters with global parameters. level-specific parameters takes precedence.
      // TODO: unit-test this part alone
 
      ParameterList levelSmootherParam = GetMLSubList(paramList, "smoother", levelID);  // copy
      MergeParameterList(*topLevelSmootherParam, levelSmootherParam, false);            /* false = do no overwrite levelSmootherParam parameters by topLevelSmootherParam parameters */
      // std::cout << std::endl << "Merged List for level  " << levelID << std::endl;
      // std::cout << levelSmootherParam << std::endl;
 
      // RCP<SmootherFactory> smootherFact = this->GetSmootherFactory(levelSmootherParam); // TODO: missing AFact input arg.
      RCP<SmootherFactory> smootherFact = AdaptiveDetails::getSmoother<SC, LO, GO, NO>(levelSmootherParam);
      manager->SetFactory("Smoother", smootherFact);
      smootherFact->DisableMultipleCallCheck();
 
      initmanager->SetFactory("Smoother", initSmootherFact);
      initmanager->SetFactory("CoarseSolver", initSmootherFact);
      initSmootherFact->DisableMultipleCallCheck();
    }
 
    //
    // Misc
    //
 
    Teuchos::rcp_dynamic_cast<PFactory>(PFact)->DisableMultipleCallCheck();
    Teuchos::rcp_dynamic_cast<PFactory>(PtentFact)->DisableMultipleCallCheck();
    Teuchos::rcp_dynamic_cast<TwoLevelFactoryBase>(RFact)->DisableMultipleCallCheck();
    Teuchos::rcp_dynamic_cast<SingleLevelFactoryBase>(coarseFact)->DisableMultipleCallCheck();
    Teuchos::rcp_dynamic_cast<SingleLevelFactoryBase>(dropFact)->DisableMultipleCallCheck();
    Teuchos::rcp_dynamic_cast<SingleLevelFactoryBase>(AggFact)->DisableMultipleCallCheck();
    Teuchos::rcp_dynamic_cast<TwoLevelFactoryBase>(AcFact)->DisableMultipleCallCheck();
    Teuchos::rcp_dynamic_cast<SingleLevelFactoryBase>(nspFact)->DisableMultipleCallCheck();
 
    manager->SetFactory("CoarseSolver", coarseFact);  // TODO: should not be done in the loop
    manager->SetFactory("Graph", dropFact);
    manager->SetFactory("Aggregates", AggFact);
    manager->SetFactory("DofsPerNode", dropFact);
    manager->SetFactory("A", AcFact);
    manager->SetFactory("P", PFact);
    manager->SetFactory("Ptent", PtentFact);
    manager->SetFactory("R", RFact);
    manager->SetFactory("Nullspace", nspFact);
 
    // initmanager->SetFactory("CoarseSolver", coarseFact);
    initmanager->SetFactory("Graph", dropFact);
    initmanager->SetFactory("Aggregates", AggFact);
    initmanager->SetFactory("DofsPerNode", dropFact);
    initmanager->SetFactory("A", AcFact);
    initmanager->SetFactory("P", PtentFact);  // use nonsmoothed transfers
    initmanager->SetFactory("Ptent", PtentFact);
    initmanager->SetFactory("R", RFact);
    initmanager->SetFactory("Nullspace", nspFact);
 
    this->AddFactoryManager(levelID, 1, manager);
    this->AddInitFactoryManager(levelID, 1, initmanager);
  }  // for (level loop)
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void AdaptiveSaMLParameterListInterpreter<Scalar, LocalOrdinal, GlobalOrdinal, Node>::SetupInitHierarchy(Hierarchy& H) const {
  TEUCHOS_TEST_FOR_EXCEPTION(!H.GetLevel(0)->IsAvailable("A"), Exceptions::RuntimeError, "No fine level operator");
 
  RCP<Level> l     = H.GetLevel(0);
  RCP<Operator> Op = l->Get<RCP<Operator> >("A");
  SetupOperator(*Op);  // use overloaded SetupMatrix routine
  this->SetupExtra(H);
 
  // Setup Hierarchy
  H.SetMaxCoarseSize(this->maxCoarseSize_);  // TODO
 
  int levelID      = 0;
  int lastLevelID  = this->numDesiredLevel_ - 1;
  bool isLastLevel = false;
 
  while (!isLastLevel) {
    bool r = H.Setup(levelID,
                     InitLvlMngr(levelID - 1, lastLevelID),
                     InitLvlMngr(levelID, lastLevelID),
                     InitLvlMngr(levelID + 1, lastLevelID));
 
    isLastLevel = r || (levelID == lastLevelID);
    levelID++;
  }
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void AdaptiveSaMLParameterListInterpreter<Scalar, LocalOrdinal, GlobalOrdinal, Node>::SetupHierarchy(Hierarchy& H) const {
  // set fine level null space
  // usually this null space is provided from outside (by the user) using
  // the ML parameter lists.
  if (this->nullspace_ != NULL) {
    RCP<Level> fineLevel        = H.GetLevel(0);
    const RCP<const Map> rowMap = fineLevel->Get<RCP<Matrix> >("A")->getRowMap();
    RCP<MultiVector> nullspace  = MultiVectorFactory::Build(rowMap, nullspaceDim_, true);
 
    for (size_t i = 0; i < Teuchos::as<size_t>(nullspaceDim_); i++) {
      Teuchos::ArrayRCP<Scalar> nullspacei = nullspace->getDataNonConst(i);
      const size_t myLength                = nullspace->getLocalLength();
 
      for (size_t j = 0; j < myLength; j++) {
        nullspacei[j] = nullspace_[i * myLength + j];
      }
    }
 
    fineLevel->Set("Nullspace", nullspace);
  }
 
  // keep aggregates
  H.Keep("Aggregates", HierarchyManager::GetFactoryManager(0)->GetFactory("Aggregates").get());

 
  // build hierarchy for initialization
  SetupInitHierarchy(H);
 
  {
    // do some iterations with the built hierarchy to improve the null space
    Teuchos::RCP<MueLu::Level> Finest    = H.GetLevel(0);  // get finest level,MueLu::NoFactory::get()
    Teuchos::RCP<MultiVector> nspVector2 = Finest->Get<Teuchos::RCP<MultiVector> >("Nullspace");
 
    Xpetra::IO<Scalar, LocalOrdinal, GlobalOrdinal, Node>::Write("orig_nsp.vec", *nspVector2);
 
    RCP<Matrix> Op = Finest->Get<RCP<Matrix> >("A");
    Xpetra::IO<Scalar, LocalOrdinal, GlobalOrdinal, Node>::Write("A.mat", *Op);
 
    Teuchos::RCP<MultiVector> homogRhsVec = MultiVectorFactory::Build(nspVector2->getMap(), nspVector2->getNumVectors(), true);
    homogRhsVec->putScalar(0.0);
 
    // do 1 multigrid cycle for improving the null space by "solving"
    //     A B_f = 0
    // where A is the system matrix and B_f the fine level null space vectors
    H.Iterate(*homogRhsVec, *nspVector2, 1, false);
 
    // store improved fine level null space
    Finest->Set("Nullspace", nspVector2);
 
    Xpetra::IO<Scalar, LocalOrdinal, GlobalOrdinal, Node>::Write("new_nsp.vec", *nspVector2);
 
    // H.Delete("CoarseSolver", init_levelManagers_[0]->GetFactory("CoarseSolver").get());
  }
 
  {
    // do some clean up.
    // remove all old default factories. Build new ones for the second build.
    // this is a little bit tricky to understand
    for (size_t k = 0; k < HierarchyManager::getNumFactoryManagers(); k++) {
      HierarchyManager::GetFactoryManager(k)->Clean();
      // Teuchos::rcp_dynamic_cast<const SingleLevelFactoryBase>(HierarchyManager::GetFactoryManager(k)->GetFactory("Smoother"))->DisableMultipleCallCheck(); // after changing to MLParamterListInterpreter functions
    }
    // not sure about this. i only need it if Smoother is defined explicitely (not using default smoother)
    // need this: otherwise RAPFactory::Build is complaining on level 0
    //            and TentativePFactory::Build is complaining on level 1
    Teuchos::rcp_dynamic_cast<const TwoLevelFactoryBase>(HierarchyManager::GetFactoryManager(0)->GetFactory("A"))->DisableMultipleCallCheck();
    Teuchos::rcp_dynamic_cast<const TwoLevelFactoryBase>(HierarchyManager::GetFactoryManager(1)->GetFactory("P"))->DisableMultipleCallCheck();
    Teuchos::rcp_dynamic_cast<const TwoLevelFactoryBase>(HierarchyManager::GetFactoryManager(1)->GetFactory("Ptent"))->DisableMultipleCallCheck();
 
    HierarchyManager::SetupHierarchy(H);
  }
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void AdaptiveSaMLParameterListInterpreter<Scalar, LocalOrdinal, GlobalOrdinal, Node>::AddTransferFactory(const RCP<FactoryBase>& factory) {
  // check if it's a TwoLevelFactoryBase based transfer factory
  TEUCHOS_TEST_FOR_EXCEPTION(Teuchos::rcp_dynamic_cast<TwoLevelFactoryBase>(factory) == Teuchos::null, Exceptions::BadCast, "Transfer factory is not derived from TwoLevelFactoryBase. Since transfer factories will be handled by the RAPFactory they have to be derived from TwoLevelFactoryBase!");
  TransferFacts_.push_back(factory);
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
size_t AdaptiveSaMLParameterListInterpreter<Scalar, LocalOrdinal, GlobalOrdinal, Node>::NumTransferFactories() const {
  return TransferFacts_.size();
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void AdaptiveSaMLParameterListInterpreter<Scalar, LocalOrdinal, GlobalOrdinal, Node>::SetupOperator(Operator& Op) const {
  try {
    Matrix& A = dynamic_cast<Matrix&>(Op);
    if (A.IsFixedBlockSizeSet() && (A.GetFixedBlockSize() != blksize_))
      this->GetOStream(Warnings0) << "Setting matrix block size to " << blksize_ << " (value of the parameter in the list) "
                                  << "instead of " << A.GetFixedBlockSize() << " (provided matrix)." << std::endl;
 
    A.SetFixedBlockSize(blksize_);
 
  } catch (std::bad_cast& e) {
    this->GetOStream(Warnings0) << "Skipping setting block size as the operator is not a matrix" << std::endl;
  }
}
 
}  // namespace MueLu
 
#endif /* MUELU_ADAPTIVESAMLPARAMETERLISTINTERPRETER_DEF_HPP_ */