Ifpack2_Details_FastILU_Base_def.hpp

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// @HEADER
// *****************************************************************************
//       Ifpack2: Templated Object-Oriented Algebraic Preconditioner Package
//
// Copyright 2009 NTESS and the Ifpack2 contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
 
#ifndef __IFPACK2_FASTILU_BASE_DEF_HPP__
#define __IFPACK2_FASTILU_BASE_DEF_HPP__
 
#include <Ifpack2_Details_CrsArrays.hpp>
#include "Tpetra_BlockCrsMatrix.hpp"
#include "Tpetra_BlockCrsMatrix_Helpers.hpp"
#include "Ifpack2_Details_getCrsMatrix.hpp"
#include <KokkosKernels_Utils.hpp>
#include <Kokkos_Timer.hpp>
#include <Teuchos_TimeMonitor.hpp>
#include <Teuchos_Array.hpp>
#include <stdexcept>
 
namespace Ifpack2 {
namespace Details {
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    FastILU_Base(Teuchos::RCP<const TRowMatrix> A)
  : mat_(A)
  , initFlag_(false)
  , computedFlag_(false)
  , nInit_(0)
  , nComputed_(0)
  , nApply_(0)
  , localCrs_(Teuchos::null)
  , localCrsNonConst_(Teuchos::null)
  , localCrsIsOwnedCopy_(false)
  , initTime_(0.0)
  , computeTime_(0.0)
  , applyTime_(0.0)
  , crsCopyTime_(0.0)
  , params_(Params::getDefaults()) {}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
Teuchos::RCP<const Tpetra::Map<LocalOrdinal, GlobalOrdinal, Node> >
FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getDomainMap() const {
  return mat_->getDomainMap();
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
Teuchos::RCP<const Tpetra::Map<LocalOrdinal, GlobalOrdinal, Node> >
FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getRangeMap() const {
  return mat_->getRangeMap();
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    apply(const Tpetra::MultiVector<Scalar, LocalOrdinal, GlobalOrdinal, Node>& X,
          Tpetra::MultiVector<Scalar, LocalOrdinal, GlobalOrdinal, Node>& Y,
          Teuchos::ETransp /*mode*/,
          Scalar /*alpha*/,
          Scalar /*beta*/) const {
  const std::string timerName("Ifpack2::FastILU::apply");
  Teuchos::RCP<Teuchos::Time> timer = Teuchos::TimeMonitor::lookupCounter(timerName);
  if (timer.is_null()) {
    timer = Teuchos::TimeMonitor::getNewCounter(timerName);
  }
  Teuchos::TimeMonitor timeMon(*timer);
 
  if (!isInitialized() || !isComputed()) {
    throw std::runtime_error(std::string("Called ") + getName() + "::apply() without first calling initialize() and/or compute().");
  }
  if (X.getNumVectors() != Y.getNumVectors()) {
    throw std::invalid_argument(getName() + "::apply: X and Y have different numbers of vectors (pass X and Y with exactly matching dimensions)");
  }
  if (X.getLocalLength() != Y.getLocalLength()) {
    throw std::invalid_argument(getName() + "::apply: X and Y have different lengths (pass X and Y with exactly matching dimensions)");
  }
  // zero out applyTime_ now, because the calls to applyLocalPrec() will add to it
  applyTime_  = 0;
  int nvecs   = X.getNumVectors();
  auto nrowsX = X.getLocalLength();
  auto nrowsY = Y.getLocalLength();
  if (nvecs == 1) {
    auto x2d = X.getLocalViewDevice(Tpetra::Access::ReadOnly);
    auto y2d = Y.getLocalViewDevice(Tpetra::Access::ReadWrite);
    ImplScalarArray x1d(const_cast<ImplScalar*>(x2d.data()), nrowsX);
    ImplScalarArray y1d(const_cast<ImplScalar*>(y2d.data()), nrowsY);
 
    applyLocalPrec(x1d, y1d);
  } else {
    // Solve each vector one at a time (until FastILU supports multiple RHS)
    auto x2d = X.getLocalViewDevice(Tpetra::Access::ReadOnly);
    auto y2d = Y.getLocalViewDevice(Tpetra::Access::ReadWrite);
    for (int i = 0; i < nvecs; i++) {
      auto xColView1d = Kokkos::subview(x2d, Kokkos::ALL(), i);
      auto yColView1d = Kokkos::subview(y2d, Kokkos::ALL(), i);
      ImplScalarArray x1d(const_cast<ImplScalar*>(xColView1d.data()), nrowsX);
      ImplScalarArray y1d(const_cast<ImplScalar*>(yColView1d.data()), nrowsY);
 
      applyLocalPrec(x1d, y1d);
    }
  }
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    setParameters(const Teuchos::ParameterList& List) {
  // Params constructor does all parameter validation, and sets default values
  params_ = Params(List, getName());
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
bool FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    isBlockCrs() const {
  return params_.blockCrs && params_.blockCrsSize > 1;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    initialize() {
  const std::string timerName("Ifpack2::FastILU::initialize");
  Teuchos::RCP<Teuchos::Time> timer = Teuchos::TimeMonitor::lookupCounter(timerName);
  if (timer.is_null()) {
    timer = Teuchos::TimeMonitor::getNewCounter(timerName);
  }
  Teuchos::TimeMonitor timeMon(*timer);
 
  if (mat_.is_null()) {
    throw std::runtime_error(std::string("Called ") + getName() + "::initialize() but matrix was null (call setMatrix() with a non-null matrix first)");
  }
 
  if (isBlockCrs()) {
    auto crs_matrix = Ifpack2::Details::getCrsMatrix(this->mat_);
 
    if (params_.fillBlocks) {
      // Create new TCrsMatrix with the new filled data and conver to Bcrs
      auto crs_matrix_block_filled = Tpetra::fillLogicalBlocks(*crs_matrix, params_.blockCrsSize);
      auto bcrs_matrix             = Tpetra::convertToBlockCrsMatrix(*crs_matrix_block_filled, params_.blockCrsSize);
      mat_                         = bcrs_matrix;
    } else {
      // Assume input is already filled, just convert to Bcrs
      auto bcrs_matrix = Tpetra::convertToBlockCrsMatrix(*crs_matrix, params_.blockCrsSize);
      mat_             = bcrs_matrix;
    }
  }
 
  Kokkos::Timer copyTimer;
 
  // Try to ensure that FastILU reads structure and values from a concrete
  // Tpetra::CrsMatrix whenever possible.  This lets CrsArrayReader use its
  // getStructureCrs/getValuesCrs fast paths instead of the generic RowMatrix
  // host-row loop.  In BlockCrs mode, keep using mat_ directly so the BCRS
  // specialization in CrsArrayReader remains available.
  localCrs_            = Teuchos::null;
  localCrsNonConst_    = Teuchos::null;
  localCrsIsOwnedCopy_ = false;
 
  const TRowMatrix* crsArraySource = mat_.get();
  if (!isBlockCrs()) {
    localCrs_ = Ifpack2::Details::getCrsMatrix(mat_);
 
    if (localCrs_.is_null()) {
      const LocalOrdinal numRows = static_cast<LocalOrdinal>(mat_->getLocalNumRows());
      Teuchos::Array<size_t> entriesPerRow(numRows);
      for (LocalOrdinal i = 0; i < numRows; ++i) {
        entriesPerRow[i] = mat_->getNumEntriesInLocalRow(i);
      }
 
      localCrsNonConst_ = Teuchos::rcp(new TCrsMatrix(mat_->getRowMap(), mat_->getColMap(), entriesPerRow()));
 
      using local_inds_host_view_type = typename TRowMatrix::nonconst_local_inds_host_view_type;
      using values_host_view_type     = typename TRowMatrix::nonconst_values_host_view_type;
 
      const size_t maxNnz = mat_->getLocalMaxNumRowEntries();
      local_inds_host_view_type indices("FastILU local CRS indices", maxNnz);
      values_host_view_type values("FastILU local CRS values", maxNnz);
 
      for (LocalOrdinal i = 0; i < numRows; ++i) {
        size_t numEntries = 0;
        mat_->getLocalRowCopy(i, indices, values, numEntries);
        localCrsNonConst_->insertLocalValues(
            i,
            numEntries,
            reinterpret_cast<Scalar*>(values.data()),
            indices.data());
      }
 
      localCrsNonConst_->fillComplete(mat_->getDomainMap(), mat_->getRangeMap());
      localCrs_            = localCrsNonConst_;
      localCrsIsOwnedCopy_ = true;
    }
 
    crsArraySource = localCrs_.get();
  }
 
  {
    CrsArrayReader<Scalar, ImplScalar, LocalOrdinal, GlobalOrdinal, Node>::getStructure(
        crsArraySource, localRowPtrsHost_, localRowPtrs_, localColInds_);
  }
 
  {
    CrsArrayReader<Scalar, ImplScalar, LocalOrdinal, GlobalOrdinal, Node>::getValues(
        crsArraySource, localValues_, localRowPtrsHost_);
  }
 
  crsCopyTime_ = copyTimer.seconds();
 
  if (params_.use_metis) {
    assert(!params_.blockCrs);
    const std::string timerNameMetis("Ifpack2::FastILU::Metis");
    Teuchos::RCP<Teuchos::Time> timerMetis = Teuchos::TimeMonitor::lookupCounter(timerNameMetis);
    if (timerMetis.is_null()) {
      timerMetis = Teuchos::TimeMonitor::getNewCounter(timerNameMetis);
    }
    Teuchos::TimeMonitor timeMonMetis(*timerMetis);
#ifdef HAVE_IFPACK2_METIS
    idx_t nrows = localRowPtrsHost_.size() - 1;
    if (nrows > 0) {
      // reorder will convert both graph and perm/iperm to the internal METIS integer type
      metis_perm_  = MetisArrayHost(Kokkos::ViewAllocateWithoutInitializing("metis_perm"), nrows);
      metis_iperm_ = MetisArrayHost(Kokkos::ViewAllocateWithoutInitializing("metis_iperm"), nrows);
 
      // copy ColInds to host
      auto localColIndsHost_ = Kokkos::create_mirror_view(localColInds_);
      Kokkos::deep_copy(localColIndsHost_, localColInds_);
 
      // prepare for calling metis
      idx_t nnz = localColIndsHost_.size();
      MetisArrayHost metis_rowptr;
      MetisArrayHost metis_colidx;
 
      bool metis_symmetrize = true;
      if (metis_symmetrize) {
        // symmetrize
        using OrdinalArrayMirror = typename OrdinalArray::host_mirror_type;
        KokkosKernels::Impl::symmetrize_graph_symbolic_hashmap<
            OrdinalArrayHost, OrdinalArrayMirror, MetisArrayHost, MetisArrayHost, Kokkos::HostSpace::execution_space>(nrows, localRowPtrsHost_, localColIndsHost_, metis_rowptr, metis_colidx);
 
        // remove diagonals
        idx_t old_nnz = nnz = 0;
        for (idx_t i = 0; i < nrows; i++) {
          for (LocalOrdinal k = old_nnz; k < metis_rowptr(i + 1); k++) {
            if (metis_colidx(k) != i) {
              metis_colidx(nnz) = metis_colidx(k);
              nnz++;
            }
          }
          old_nnz             = metis_rowptr(i + 1);
          metis_rowptr(i + 1) = nnz;
        }
      } else {
        // copy and remove diagonals
        metis_rowptr    = MetisArrayHost(Kokkos::ViewAllocateWithoutInitializing("metis_rowptr"), nrows + 1);
        metis_colidx    = MetisArrayHost(Kokkos::ViewAllocateWithoutInitializing("metis_colidx"), nnz);
        nnz             = 0;
        metis_rowptr(0) = 0;
        for (idx_t i = 0; i < nrows; i++) {
          for (LocalOrdinal k = localRowPtrsHost_(i); k < localRowPtrsHost_(i + 1); k++) {
            if (localColIndsHost_(k) != i) {
              metis_colidx(nnz) = localColIndsHost_(k);
              nnz++;
            }
          }
          metis_rowptr(i + 1) = nnz;
        }
      }
 
      // call metis
      int info = METIS_NodeND(&nrows, metis_rowptr.data(), metis_colidx.data(),
                              NULL, NULL, metis_perm_.data(), metis_iperm_.data());
      if (METIS_OK != info) {
        throw std::runtime_error(std::string("METIS_NodeND returned info = ") + std::to_string(info));
      }
    }
#else
    throw std::runtime_error(std::string("TPL METIS is not enabled"));
#endif
  }
 
  initLocalPrec();  // note: initLocalPrec updates initTime
  initFlag_ = true;
  nInit_++;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
bool FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    isInitialized() const {
  return initFlag_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    compute() {
  if (!initFlag_) {
    throw std::runtime_error(getName() + ": initialize() must be called before compute()");
  }
 
  const std::string timerName("Ifpack2::FastILU::compute");
  Teuchos::RCP<Teuchos::Time> timer = Teuchos::TimeMonitor::lookupCounter(timerName);
  if (timer.is_null()) {
    timer = Teuchos::TimeMonitor::getNewCounter(timerName);
  }
  Teuchos::TimeMonitor timeMon(*timer);
 
  // get copy of values array from matrix
  Kokkos::Timer copyTimer;
  const TRowMatrix* crsArraySource = mat_.get();
 
  if (!isBlockCrs() && !localCrs_.is_null()) {
    if (localCrsIsOwnedCopy_) {
      localCrsNonConst_->resumeFill();
 
      using local_inds_host_view_type = typename TRowMatrix::nonconst_local_inds_host_view_type;
      using values_host_view_type     = typename TRowMatrix::nonconst_values_host_view_type;
 
      const LocalOrdinal numRows = static_cast<LocalOrdinal>(mat_->getLocalNumRows());
      const size_t maxNnz        = mat_->getLocalMaxNumRowEntries();
      local_inds_host_view_type indices("FastILU refresh CRS indices", maxNnz);
      values_host_view_type values("FastILU refresh CRS values", maxNnz);
 
      for (LocalOrdinal i = 0; i < numRows; ++i) {
        size_t numEntries = 0;
        mat_->getLocalRowCopy(i, indices, values, numEntries);
        localCrsNonConst_->replaceLocalValues(
            i,
            numEntries,
            reinterpret_cast<Scalar*>(values.data()),
            indices.data());
      }
 
      localCrsNonConst_->fillComplete(mat_->getDomainMap(), mat_->getRangeMap());
      localCrs_ = localCrsNonConst_;
    }
 
    crsArraySource = localCrs_.get();
  }
 
  {
    CrsArrayReader<Scalar, ImplScalar, LocalOrdinal, GlobalOrdinal, Node>::getValues(
        crsArraySource, localValues_, localRowPtrsHost_);
  }
 
  crsCopyTime_ += copyTimer.seconds();  // add to the time spent getting rowptrs/colinds
  computeLocalPrec();                   // this updates computeTime_
  computedFlag_ = true;
  nComputed_++;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
bool FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    isComputed() const {
  return computedFlag_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
Teuchos::RCP<const Tpetra::RowMatrix<Scalar, LocalOrdinal, GlobalOrdinal, Node> >
FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getMatrix() const {
  return mat_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
int FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getNumInitialize() const {
  return nInit_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
int FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getNumCompute() const {
  return nComputed_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
int FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getNumApply() const {
  return nApply_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
double FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getInitializeTime() const {
  return initTime_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
double FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getComputeTime() const {
  return computeTime_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
double FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getApplyTime() const {
  return applyTime_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
double FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    getCopyTime() const {
  return crsCopyTime_;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    checkLocalILU() const {
  // if the underlying type of this doesn't implement checkLocalILU, it's an illegal operation
  throw std::runtime_error(std::string("Preconditioner type Ifpack2::Details::") + getName() + " doesn't support checkLocalILU().");
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    checkLocalIC() const {
  // if the underlying type of this doesn't implement checkLocalIC, it's an illegal operation
  throw std::runtime_error(std::string("Preconditioner type Ifpack2::Details::") + getName() + " doesn't support checkLocalIC().");
}
 
template <typename Scalar, typename LocalOrdinal, typename GlobalOrdinal, typename Node>
std::string FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::description() const {
  std::ostringstream os;
  // Output is a YAML dictionary
  os << "\"Ifpack2::Details::" << getName() << "\": {";
  os << "Initialized: " << (isInitialized() ? "true" : "false") << ", ";
  os << "Computed: " << (isComputed() ? "true" : "false") << ", ";
  os << "Sweeps: " << getSweeps() << ", ";
  os << "Triangular solve type: " << getSpTrsvType() << ", ";
  if (getSpTrsvType() == "Fast") {
    os << "# of triangular solve iterations: " << getNTrisol() << ", ";
  }
  if (mat_.is_null()) {
    os << "Matrix: null";
  } else {
    os << "Global matrix dimensions: [" << mat_->getGlobalNumRows() << ", " << mat_->getGlobalNumCols() << "]";
    os << ", Global nnz: " << mat_->getGlobalNumEntries();
  }
  return os.str();
}
 
template <typename Scalar, typename LocalOrdinal, typename GlobalOrdinal, typename Node>
void FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    setMatrix(const Teuchos::RCP<const TRowMatrix>& A) {
  if (A.is_null()) {
    throw std::invalid_argument(std::string("Ifpack2::Details::") + getName() + "::setMatrix() called with a null matrix. Pass a non-null matrix.");
  }
  // bmk note: this modeled after RILUK::setMatrix
  if (mat_.get() != A.get()) {
    mat_                 = A;
    localCrs_            = Teuchos::null;
    localCrsNonConst_    = Teuchos::null;
    localCrsIsOwnedCopy_ = false;
    initFlag_            = false;
    computedFlag_        = false;
  }
}
 
template <typename Scalar, typename LocalOrdinal, typename GlobalOrdinal, typename Node>
typename FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::Params
FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    Params::getDefaults() {
  Params p;
  p.use_metis    = false;
  p.sptrsv_algo  = FastILU::SpTRSV::Fast;
  p.nFact        = 5;    // # of sweeps for computing fastILU
  p.nTrisol      = 5;    // # of sweeps for applying fastSpTRSV
  p.level        = 0;    // level of ILU
  p.omega        = 1.0;  // damping factor for fastILU
  p.shift        = 0;
  p.guessFlag    = true;
  p.blockSizeILU = 1;      // # of nonzeros / thread, for fastILU
  p.blockSize    = 1;      // # of rows / thread, for SpTRSV
  p.blockCrs     = false;  // whether to use block CRS for fastILU
  p.blockCrsSize = 1;      // block size for block CRS
  p.fillBlocks   = false;  // whether input matrix needs to be filled
  return p;
}
 
template <typename Scalar, typename LocalOrdinal, typename GlobalOrdinal, typename Node>
FastILU_Base<Scalar, LocalOrdinal, GlobalOrdinal, Node>::
    Params::Params(const Teuchos::ParameterList& pL, std::string precType) {
  *this = getDefaults();
// For each parameter, check that if the parameter exists, it has the right type
// Then get the value and sanity check it
// If the parameter doesn't exist, leave it as default (from Params::getDefaults())
//"sweeps" aka nFact
#define TYPE_ERROR(name, correctTypeName) \
  { throw std::invalid_argument(precType + "::setParameters(): parameter \"" + name + "\" has the wrong type (must be " + correctTypeName + ")"); }
#define CHECK_VALUE(param, member, cond, msg)                                                                                                       \
  {                                                                                                                                                 \
    if (cond) {                                                                                                                                     \
      throw std::invalid_argument(precType + "::setParameters(): parameter \"" + param + "\" has value " + std::to_string(member) + " but " + msg); \
    }                                                                                                                                               \
  }
 
  // metis
  if (pL.isParameter("metis")) {
    if (pL.isType<bool>("metis"))
      use_metis = pL.get<bool>("metis");
    else
      TYPE_ERROR("metis", "bool");
  }
 
  if (pL.isParameter("sweeps")) {
    if (pL.isType<int>("sweeps")) {
      nFact = pL.get<int>("sweeps");
      CHECK_VALUE("sweeps", nFact, nFact < 1, "must have a value of at least 1");
    } else
      TYPE_ERROR("sweeps", "int");
  }
  std::string sptrsv_type = "Fast";
  if (pL.isParameter("triangular solve type")) {
    sptrsv_type = pL.get<std::string>("triangular solve type");
  }
  if (sptrsv_type == "Standard Host") {
    sptrsv_algo = FastILU::SpTRSV::StandardHost;
  } else if (sptrsv_type == "Standard") {
    sptrsv_algo = FastILU::SpTRSV::Standard;
  }
 
  //"triangular solve iterations" aka nTrisol
  if (pL.isParameter("triangular solve iterations")) {
    if (pL.isType<int>("triangular solve iterations")) {
      nTrisol = pL.get<int>("triangular solve iterations");
      CHECK_VALUE("triangular solve iterations", nTrisol, nTrisol < 1, "must have a value of at least 1");
    } else
      TYPE_ERROR("triangular solve iterations", "int");
  }
  //"level"
  if (pL.isParameter("level")) {
    if (pL.isType<int>("level")) {
      level = pL.get<int>("level");
    } else if (pL.isType<double>("level")) {
      // Level can be read as double (like in ILUT), but must be an exact integer
      // Any integer used for level-of-fill can be represented exactly in double (so use exact compare)
      double dval = pL.get<double>("level");
      double ipart;
      double fpart = modf(dval, &ipart);
      level        = ipart;
      CHECK_VALUE("level", level, fpart != 0, "must be an integral value");
    } else {
      TYPE_ERROR("level", "int");
    }
    CHECK_VALUE("level", level, level < 0, "must be nonnegative");
  }
  if (pL.isParameter("damping factor")) {
    if (pL.isType<double>("damping factor"))
      omega = pL.get<double>("damping factor");
    else
      TYPE_ERROR("damping factor", "double");
  }
  if (pL.isParameter("shift")) {
    if (pL.isType<double>("shift"))
      shift = pL.get<double>("shift");
    else
      TYPE_ERROR("shift", "double");
  }
  //"guess" aka guessFlag
  if (pL.isParameter("guess")) {
    if (pL.isType<bool>("guess"))
      guessFlag = pL.get<bool>("guess");
    else
      TYPE_ERROR("guess", "bool");
  }
  //"block size" aka blkSz
  if (pL.isParameter("block size for ILU")) {
    if (pL.isType<int>("block size for ILU")) {
      blockSizeILU = pL.get<int>("block size for ILU");
      CHECK_VALUE("block size for ILU", blockSizeILU, blockSizeILU < 1, "must have a value of at least 1");
    } else
      TYPE_ERROR("block size for ILU", "int");
  }
  //"block size" aka blkSz
  if (pL.isParameter("block size for SpTRSV")) {
    if (pL.isType<int>("block size for SpTRSV"))
      blockSize = pL.get<int>("block size for SpTRSV");
    else
      TYPE_ERROR("block size for SpTRSV", "int");
  }
  //"block crs" aka blockCrs
  if (pL.isParameter("block crs")) {
    if (pL.isType<bool>("block crs"))
      blockCrs = pL.get<bool>("block crs");
    else
      TYPE_ERROR("block crs", "bool");
  }
  //"block crs block size" aka blockCrsSize
  if (pL.isParameter("block crs block size")) {
    if (pL.isType<int>("block crs block size"))
      blockCrsSize = pL.get<int>("block crs block size");
    else
      TYPE_ERROR("block crs block size", "int");
  }
  //"fill blocks for input" aka fillBlocks
  if (pL.isParameter("fill blocks for input")) {
    if (pL.isType<bool>("fill blocks for input"))
      blockCrsSize = pL.get<bool>("fill blocks for input");
    else
      TYPE_ERROR("fill blocks for input", "bool");
  }
 
#undef CHECK_VALUE
#undef TYPE_ERROR
}
 
#define IFPACK2_DETAILS_FASTILU_BASE_INSTANT(S, L, G, N) \
  template class Ifpack2::Details::FastILU_Base<S, L, G, N>;
 
}  // namespace Details
}  // namespace Ifpack2
 
#endif