Tpetra_Details_getDiagCopyWithoutOffsets_def.hpp

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// @HEADER
// *****************************************************************************
//          Tpetra: Templated Linear Algebra Services Package
//
// Copyright 2008 NTESS and the Tpetra contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
#ifndef TPETRA_DETAILS_GETDIAGCOPYWITHOUTOFFSETS_DEF_HPP
#define TPETRA_DETAILS_GETDIAGCOPYWITHOUTOFFSETS_DEF_HPP

 
#include "Tpetra_Details_gathervPrint.hpp"
#include "Tpetra_RowGraph.hpp"
#include "Tpetra_CrsGraph.hpp"
#include "Tpetra_RowMatrix.hpp"
#include "Tpetra_Vector.hpp"
 
namespace Tpetra {
namespace Details {
 
// Work-around for #499: Implementation of one-argument (no offsets)
// getLocalDiagCopy for the NOT fill-complete case.
//
// NOTE (mfh 18 Jul 2016) This calls functions that are NOT GPU device
// functions!  Thus, we do NOT use KOKKOS_INLINE_FUNCTION or
// KOKKOS_FUNCTION here, because those attempt to mark the functions
// they modify as CUDA device functions.  This functor is ONLY for
// non-CUDA execution spaces!
template<class SC, class LO, class GO, class NT>
class GetLocalDiagCopyWithoutOffsetsNotFillCompleteFunctor {
public:
  typedef ::Tpetra::RowMatrix<SC, LO, GO, NT> row_matrix_type;
  typedef ::Tpetra::Vector<SC, LO, GO, NT> vec_type;
 
  typedef typename vec_type::impl_scalar_type IST;
  // The output Vector determines the execution space.
 
private:
  typedef typename vec_type::dual_view_type::t_host::execution_space host_execution_space;
  typedef typename vec_type::map_type map_type;
 
  static bool
  graphIsSorted (const row_matrix_type& A)
  {
    using Teuchos::RCP;
    using Teuchos::rcp_dynamic_cast;
    typedef Tpetra::CrsGraph<LO, GO, NT> crs_graph_type;
    typedef Tpetra::RowGraph<LO, GO, NT> row_graph_type;
 
    // We conservatively assume not sorted.  RowGraph lacks an
    // "isSorted" predicate, so we can't know for sure unless the cast
    // to CrsGraph succeeds.
    bool sorted = false;
 
    RCP<const row_graph_type> G_row = A.getGraph ();
    if (! G_row.is_null ()) {
      RCP<const crs_graph_type> G_crs =
        rcp_dynamic_cast<const crs_graph_type> (G_row);
      if (! G_crs.is_null ()) {
        sorted = G_crs->isSorted ();
      }
    }
 
    return sorted;
  }
 
public:
  // lclNumErrs [out] Total count of errors on this process.
  GetLocalDiagCopyWithoutOffsetsNotFillCompleteFunctor (LO& lclNumErrs,
                                                        vec_type& diag,
                                                        const row_matrix_type& A) :
    A_ (A),
    lclRowMap_ (*A.getRowMap ()),
    lclColMap_ (*A.getColMap ()),
    sorted_ (graphIsSorted (A))
  {
    const LO lclNumRows = static_cast<LO> (diag.getLocalLength ());
    {
      const LO matLclNumRows =
        static_cast<LO> (lclRowMap_.getLocalNumElements ());
      TEUCHOS_TEST_FOR_EXCEPTION
        (lclNumRows != matLclNumRows, std::invalid_argument,
         "diag.getLocalLength() = " << lclNumRows << " != "
         "A.getRowMap()->getLocalNumElements() = " << matLclNumRows << ".");
    }
 
    // Side effects start below this point.
    D_lcl_ = diag.getLocalViewHost(Access::OverwriteAll);
    D_lcl_1d_ = Kokkos::subview (D_lcl_, Kokkos::ALL (), 0);
 
    Kokkos::RangePolicy<host_execution_space, LO> range (0, lclNumRows);
    lclNumErrs = 0;
    Kokkos::parallel_reduce (range, *this, lclNumErrs);
 
    // sync changes back to device, since the user doesn't know that
    // we had to run on host.
    //diag.template sync<typename device_type::memory_space> ();
  }
 
  void operator () (const LO& lclRowInd, LO& errCount) const {
    using KokkosSparse::findRelOffset;
 
    D_lcl_1d_(lclRowInd) = Kokkos::ArithTraits<IST>::zero ();
    const GO gblInd = lclRowMap_.getGlobalElement (lclRowInd);
    const LO lclColInd = lclColMap_.getLocalElement (gblInd);
 
    if (lclColInd == Tpetra::Details::OrdinalTraits<LO>::invalid ()) {
      errCount++;
    }
    else { // row index is also in the column Map on this process
      typename row_matrix_type::local_inds_host_view_type lclColInds;
      typename row_matrix_type::values_host_view_type curVals;
      A_.getLocalRowView(lclRowInd, lclColInds, curVals);
      LO numEnt = lclColInds.extent(0);
      // The search hint is always zero, since we only call this
      // once per row of the matrix.
      const LO hint = 0;
      const LO offset =
        findRelOffset (lclColInds, numEnt, lclColInd, hint, sorted_);
      if (offset == numEnt) { // didn't find the diagonal column index
        errCount++;
      }
      else {
        D_lcl_1d_(lclRowInd) = curVals[offset];
      }
    }
  }
 
private:
  const row_matrix_type& A_;
  map_type lclRowMap_;
  map_type lclColMap_;
  typename vec_type::dual_view_type::t_host D_lcl_;
  decltype (Kokkos::subview (D_lcl_, Kokkos::ALL (), 0)) D_lcl_1d_;
  const bool sorted_;
};
 
 
template<class SC, class LO, class GO, class NT>
LO
getLocalDiagCopyWithoutOffsetsNotFillComplete ( ::Tpetra::Vector<SC, LO, GO, NT>& diag,
                                                const ::Tpetra::RowMatrix<SC, LO, GO, NT>& A,
                                                const bool debug)
{
  using ::Tpetra::Details::gathervPrint;
  using Teuchos::outArg;
  using Teuchos::REDUCE_MIN;
  using Teuchos::reduceAll;
  typedef GetLocalDiagCopyWithoutOffsetsNotFillCompleteFunctor<SC,
    LO, GO, NT> functor_type;
 
  // The functor's constructor does error checking and executes the
  // thread-parallel kernel.
 
  LO lclNumErrs = 0;
 
  if (debug) {
    int lclSuccess = 1;
    int gblSuccess = 0;
    std::ostringstream errStrm;
    Teuchos::RCP<const Teuchos::Comm<int> > commPtr = A.getComm ();
    if (commPtr.is_null ()) {
      return lclNumErrs; // this process does not participate
    }
    const Teuchos::Comm<int>& comm = *commPtr;
 
    try {
      functor_type functor (lclNumErrs, diag, A);
    }
    catch (std::exception& e) {
      lclSuccess = -1;
      errStrm << "Process " << A.getComm ()->getRank () << ": "
              << e.what () << std::endl;
    }
    if (lclNumErrs != 0) {
      lclSuccess = 0;
    }
 
    reduceAll<int, int> (comm, REDUCE_MIN, lclSuccess, outArg (gblSuccess));
    if (gblSuccess == -1) {
      if (comm.getRank () == 0) {
        // We gather into std::cerr, rather than using an
        // std::ostringstream, because there might be a lot of MPI
        // processes.  It could take too much memory to gather all the
        // messages to Process 0 before printing.  gathervPrint gathers
        // and prints one message at a time, thus saving memory.  I
        // don't want to run out of memory while trying to print an
        // error message; that would hide the real problem.
        std::cerr << "getLocalDiagCopyWithoutOffsetsNotFillComplete threw an "
          "exception on one or more MPI processes in the matrix's comunicator."
                  << std::endl;
      }
      gathervPrint (std::cerr, errStrm.str (), comm);
      // Don't need to print anything here, since we've already
      // printed to std::cerr above.
      TEUCHOS_TEST_FOR_EXCEPTION(true, std::runtime_error, "");
    }
    else if (gblSuccess == 0) {
      TEUCHOS_TEST_FOR_EXCEPTION
        (gblSuccess != 1, std::runtime_error,
         "getLocalDiagCopyWithoutOffsetsNotFillComplete failed on "
         "one or more MPI processes in the matrix's communicator.");
    }
  }
  else { // ! debug
    functor_type functor (lclNumErrs, diag, A);
  }
 
  return lclNumErrs;
}
 
} // namespace Details
} // namespace Tpetra
 
// Explicit template instantiation macro for
// getLocalDiagCopyWithoutOffsetsNotFillComplete.  NOT FOR USERS!!!
// Must be used inside the Tpetra namespace.
#define TPETRA_DETAILS_GETDIAGCOPYWITHOUTOFFSETS_INSTANT( SCALAR, LO, GO, NODE ) \
  template LO \
  Details::getLocalDiagCopyWithoutOffsetsNotFillComplete< SCALAR, LO, GO, NODE > \
    ( ::Tpetra::Vector< SCALAR, LO, GO, NODE >& diag, \
      const ::Tpetra::RowMatrix< SCALAR, LO, GO, NODE >& A, \
      const bool debug);
 
#endif // TPETRA_DETAILS_GETDIAGCOPYWITHOUTOFFSETS_DEF_HPP