Amesos2_KLU2_def.hpp

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#ifndef AMESOS2_KLU2_DEF_HPP
#define AMESOS2_KLU2_DEF_HPP

#include <Teuchos_Tuple.hpp>
#include <Teuchos_ParameterList.hpp>
#include <Teuchos_StandardParameterEntryValidators.hpp>

#include "Amesos2_SolverCore_def.hpp"
#include "Amesos2_KLU2_decl.hpp"

namespace Amesos2 {


template <class Matrix, class Vector>
KLU2<Matrix,Vector>::KLU2(
  Teuchos::RCP<const Matrix> A,
  Teuchos::RCP<Vector>       X,
  Teuchos::RCP<const Vector> B )
  : SolverCore<Amesos2::KLU2,Matrix,Vector>(A, X, B)
  , nzvals_()                   // initialize to empty arrays
  , rowind_()
  , colptr_()
  , transFlag_(0)
  , is_contiguous_(true)
{
  ::KLU2::klu_defaults<slu_type, local_ordinal_type> (&(data_.common_)) ;
  data_.symbolic_ = NULL;
  data_.numeric_ = NULL;

  // Override some default options
  // TODO: use data_ here to init
}


template <class Matrix, class Vector>
KLU2<Matrix,Vector>::~KLU2( )
{
  /* Free KLU2 data_types
   * - Matrices
   * - Vectors
   * - Other data
   */
  if (data_.symbolic_ != NULL)
      ::KLU2::klu_free_symbolic<slu_type, local_ordinal_type>
                         (&(data_.symbolic_), &(data_.common_)) ;
  if (data_.numeric_ != NULL)
      ::KLU2::klu_free_numeric<slu_type, local_ordinal_type>
                         (&(data_.numeric_), &(data_.common_)) ;

  // Storage is initialized in numericFactorization_impl()
  //if ( data_.A.Store != NULL ){
      // destoy
  //}

  // only root allocated these SuperMatrices.
  //if ( data_.L.Store != NULL ){       // will only be true for this->root_
      // destroy ..
  //}
}

template <class Matrix, class Vector>
bool
KLU2<Matrix,Vector>::single_proc_optimization() const {
  return (this->root_ && (this->matrixA_->getComm()->getSize() == 1) && is_contiguous_);
}

template<class Matrix, class Vector>
int
KLU2<Matrix,Vector>::preOrdering_impl()
{
  /* TODO: Define what it means for KLU2
   */
#ifdef HAVE_AMESOS2_TIMERS
    Teuchos::TimeMonitor preOrderTimer(this->timers_.preOrderTime_);
#endif

  return(0);
}


template <class Matrix, class Vector>
int
KLU2<Matrix,Vector>::symbolicFactorization_impl()
{
  if (data_.symbolic_ != NULL) {
      ::KLU2::klu_free_symbolic<slu_type, local_ordinal_type>
                         (&(data_.symbolic_), &(data_.common_)) ;
  }

  if ( single_proc_optimization() ) {

    auto sp_rowptr = this->matrixA_->returnRowPtr(); 
    TEUCHOS_TEST_FOR_EXCEPTION(sp_rowptr == nullptr,
        std::runtime_error, "Amesos2 Runtime Error: sp_rowptr returned null ");
    auto sp_colind = this->matrixA_->returnColInd();
    TEUCHOS_TEST_FOR_EXCEPTION(sp_colind == nullptr,
        std::runtime_error, "Amesos2 Runtime Error: sp_colind returned null ");
#ifndef HAVE_TEUCHOS_COMPLEX
    auto sp_values = this->matrixA_->returnValues();
#else
    // NDE: 09/25/2017
    // Cannot convert Kokkos::complex<T>* to std::complex<T>*; in this case, use reinterpret_cast
    using complex_type = typename Util::getStdCplxType< magnitude_type, typename matrix_adapter_type::spmtx_vals_t >::type;
    complex_type * sp_values = nullptr;
    sp_values = reinterpret_cast< complex_type * > ( this->matrixA_->returnValues() );
#endif
    TEUCHOS_TEST_FOR_EXCEPTION(sp_values == nullptr,
        std::runtime_error, "Amesos2 Runtime Error: sp_values returned null ");

    // sp_rowptr can cause compile-time matching issues 
    //   e.g const long unsigned int* , not convertible/compatible with int*
    // Need sp_rowptr and sp_colind to have same ordinal type for KLU2 interface
    Teuchos::Array< local_ordinal_type > sp_rowptr_with_common_type( this->globalNumRows_ + 1 );
    for ( global_size_type i = 0; i < this->globalNumRows_+1; ++i ) {
      //sp_rowptr_with_common_type[i] = static_cast<local_ordinal_type>(sp_rowptr[i]);
      sp_rowptr_with_common_type[i] = sp_rowptr[i];
    }

    data_.symbolic_ = ::KLU2::klu_analyze<slu_type, local_ordinal_type>
      ((local_ordinal_type)this->globalNumCols_, sp_rowptr_with_common_type.getRawPtr(),
       sp_colind, &(data_.common_)) ;
  }
  else
  {
    data_.symbolic_ = ::KLU2::klu_analyze<slu_type, local_ordinal_type>
      ((local_ordinal_type)this->globalNumCols_, colptr_.getRawPtr(),
       rowind_.getRawPtr(), &(data_.common_)) ;

  } //end single_process_optim_check = false

  return(0);
}


template <class Matrix, class Vector>
int
KLU2<Matrix,Vector>::numericFactorization_impl()
{
  using Teuchos::as;

  // Cleanup old L and U matrices if we are not reusing a symbolic
  // factorization.  Stores and other data will be allocated in gstrf.
  // Only rank 0 has valid pointers, TODO: for KLU2

  int info = 0;
  if ( this->root_ ) {

    { // Do factorization
#ifdef HAVE_AMESOS2_TIMERS
      Teuchos::TimeMonitor numFactTimer(this->timers_.numFactTime_);
#endif

#ifdef HAVE_AMESOS2_VERBOSE_DEBUG
      std::cout << "KLU2:: Before numeric factorization" << std::endl;
      std::cout << "nzvals_ : " << nzvals_.toString() << std::endl;
      std::cout << "rowind_ : " << rowind_.toString() << std::endl;
      std::cout << "colptr_ : " << colptr_.toString() << std::endl;
#endif

      if (data_.numeric_ != NULL) {
        ::KLU2::klu_free_numeric<slu_type, local_ordinal_type>
          (&(data_.numeric_), &(data_.common_)) ;
      }

      if ( single_proc_optimization() ) {

        auto sp_rowptr = this->matrixA_->returnRowPtr();
        TEUCHOS_TEST_FOR_EXCEPTION(sp_rowptr == nullptr,
            std::runtime_error, "Amesos2 Runtime Error: sp_rowptr returned null ");
        auto sp_colind = this->matrixA_->returnColInd();
        TEUCHOS_TEST_FOR_EXCEPTION(sp_colind == nullptr,
            std::runtime_error, "Amesos2 Runtime Error: sp_colind returned null ");
#ifndef HAVE_TEUCHOS_COMPLEX
        auto sp_values = this->matrixA_->returnValues();
#else
        // NDE: 09/25/2017
        // Cannot convert Kokkos::complex<T>* to std::complex<T>*; in this case, use reinterpret_cast
        using complex_type = typename Util::getStdCplxType< magnitude_type, typename matrix_adapter_type::spmtx_vals_t >::type;
        complex_type * sp_values = nullptr;
        sp_values = reinterpret_cast< complex_type * > ( this->matrixA_->returnValues() );
#endif
        TEUCHOS_TEST_FOR_EXCEPTION(sp_values == nullptr,
            std::runtime_error, "Amesos2 Runtime Error: sp_values returned null ");

        // sp_rowptr can cause compile-time matching issues 
        //   e.g const long unsigned int* , not convertible/compatible with int*
        // Need sp_rowptr and sp_colind to have same ordinal type for KLU2 interface
        Teuchos::Array< local_ordinal_type > sp_rowptr_with_common_type( this->globalNumRows_ + 1 );
        for ( global_size_type i = 0; i < this->globalNumRows_+1; ++i ) {
          //sp_rowptr_with_common_type[i] = static_cast<local_ordinal_type>(sp_rowptr[i]);
          sp_rowptr_with_common_type[i] = sp_rowptr[i];
        }

        data_.numeric_ = ::KLU2::klu_factor<slu_type, local_ordinal_type>
          (sp_rowptr_with_common_type.getRawPtr(), sp_colind, sp_values,
           data_.symbolic_, &(data_.common_)) ;
      }
      else {
        data_.numeric_ = ::KLU2::klu_factor<slu_type, local_ordinal_type>
          (colptr_.getRawPtr(), rowind_.getRawPtr(), nzvals_.getRawPtr(),
           data_.symbolic_, &(data_.common_)) ;
      } //end single_process_optim_check = false

      // To have a test which confirms a throw, we need MPI to throw on all the
      // ranks. So we delay and broadcast first. Others throws in Amesos2 which
      // happen on just the root rank would also have the same problem if we
      // tested them but we decided to fix just this one for the present. This
      // is the only error/throw we currently have a unit test for.
      if(data_.numeric_ == nullptr) {
        info = 1;
      }

      // This is set after numeric factorization complete as pivoting can be used;
      // In this case, a discrepancy between symbolic and numeric nnz total can occur.
      if(info == 0) { // skip if error code so we don't segfault - will throw
        this->setNnzLU( as<size_t>((data_.numeric_)->lnz) + as<size_t>((data_.numeric_)->unz) );
      }
    } // end scope

  } // end this->root_

  /* All processes should have the same error code */
  Teuchos::broadcast(*(this->matrixA_->getComm()), 0, &info);

  TEUCHOS_TEST_FOR_EXCEPTION(info > 0, std::runtime_error,
      "KLU2 numeric factorization failed");

  //global_size_type info_st = as<global_size_type>(info); // unused
  /* TODO : Proper error messages
  TEUCHOS_TEST_FOR_EXCEPTION( (info_st > 0) && (info_st <= this->globalNumCols_),
    std::runtime_error,
    "Factorization complete, but matrix is singular. Division by zero eminent");
  TEUCHOS_TEST_FOR_EXCEPTION( (info_st > 0) && (info_st > this->globalNumCols_),
    std::runtime_error,
    "Memory allocation failure in KLU2 factorization");*/

  //data_.options.Fact = SLU::FACTORED;
  //same_symbolic_ = true;

  return(info);
}


template <class Matrix, class Vector>
int
KLU2<Matrix,Vector>::solve_impl(
 const Teuchos::Ptr<MultiVecAdapter<Vector> >  X,
 const Teuchos::Ptr<const MultiVecAdapter<Vector> > B) const
{
  using Teuchos::as;
  int ierr = 0; // returned error code

  const global_size_type ld_rhs = this->root_ ? X->getGlobalLength() : 0;
  const size_t nrhs = X->getGlobalNumVectors();

  if ( single_proc_optimization() && nrhs == 1 ) {
#ifdef HAVE_AMESOS2_TIMERS
    Teuchos::TimeMonitor solveTimer(this->timers_.solveTime_);
#endif

#ifndef HAVE_TEUCHOS_COMPLEX
    auto b_vector = Util::vector_pointer_helper< MultiVecAdapter<Vector>, Vector >::get_pointer_to_vector( B );
    auto x_vector = Util::vector_pointer_helper< MultiVecAdapter<Vector>, Vector >::get_pointer_to_vector( X );
#else
    // NDE: 09/25/2017
    // Cannot convert Kokkos::complex<T>* to std::complex<T>*; in this case, use reinterpret_cast
    using complex_type = typename Util::getStdCplxType< magnitude_type, typename matrix_adapter_type::spmtx_vals_t >::type;
    complex_type * b_vector = reinterpret_cast< complex_type * >( Util::vector_pointer_helper< MultiVecAdapter<Vector>, Vector >::get_pointer_to_vector( B ) );
    complex_type * x_vector = reinterpret_cast< complex_type * >( Util::vector_pointer_helper< MultiVecAdapter<Vector>, Vector >::get_pointer_to_vector( X ) );
#endif
    TEUCHOS_TEST_FOR_EXCEPTION(b_vector == nullptr,
        std::runtime_error, "Amesos2 Runtime Error: b_vector returned null ");

    TEUCHOS_TEST_FOR_EXCEPTION(x_vector  == nullptr,
        std::runtime_error, "Amesos2 Runtime Error: x_vector returned null ");

    // For this case, Crs matrix raw pointers wereused, so the non-transpose default solve 
    // is actually the transpose solve as klu_solve expects Ccs matrix pointers
    // Thus, if the transFlag_ is true, the non-transpose solve should be used
    if (transFlag_ == 0)
    {
      ::KLU2::klu_tsolve2<slu_type, local_ordinal_type>
        (data_.symbolic_, data_.numeric_,
         (local_ordinal_type)this->globalNumCols_,
         (local_ordinal_type)nrhs,
         b_vector, x_vector,  &(data_.common_)) ;
    }
    else {
      ::KLU2::klu_solve2<slu_type, local_ordinal_type>
        (data_.symbolic_, data_.numeric_,
         (local_ordinal_type)this->globalNumCols_,
         (local_ordinal_type)nrhs,
         b_vector, x_vector,  &(data_.common_)) ;
    }

    /* All processes should have the same error code */
    // Teuchos::broadcast(*(this->getComm()), 0, &ierr);

  } // end single_process_optim_check && nrhs == 1
  else  // single proc optimizations but nrhs > 1,
        // or distributed over processes case
  {
    const size_t val_store_size = as<size_t>(ld_rhs * nrhs);
    Teuchos::Array<slu_type> bValues(val_store_size);

    {                             // Get values from RHS B
#ifdef HAVE_AMESOS2_TIMERS
      Teuchos::TimeMonitor mvConvTimer(this->timers_.vecConvTime_);
      Teuchos::TimeMonitor redistTimer( this->timers_.vecRedistTime_ );
#endif
      if ( is_contiguous_ == true ) {
        Util::get_1d_copy_helper<MultiVecAdapter<Vector>,
          slu_type>::do_get(B, bValues(),
              as<size_t>(ld_rhs),
              ROOTED, this->rowIndexBase_);
      }
      else {
        Util::get_1d_copy_helper<MultiVecAdapter<Vector>,
          slu_type>::do_get(B, bValues(),
              as<size_t>(ld_rhs),
              CONTIGUOUS_AND_ROOTED, this->rowIndexBase_);
      }
    } // end Timer scope

    if ( this->root_ ) {
      //local_ordinal_type i_ld_rhs = as<local_ordinal_type>(ld_rhs);
      {                           // Do solve!
#ifdef HAVE_AMESOS2_TIMERS
        Teuchos::TimeMonitor solveTimer(this->timers_.solveTime_);
#endif
        if (transFlag_ == 0)
        {
        // For this case, Crs matrix raw pointers wereused, so the non-transpose default solve 
        // is actually the transpose solve as klu_solve expects Ccs matrix pointers
        // Thus, if the transFlag_ is true, the non-transpose solve should be used
          if ( single_proc_optimization() ) {
          ::KLU2::klu_tsolve<slu_type, local_ordinal_type>
            (data_.symbolic_, data_.numeric_,
             (local_ordinal_type)this->globalNumCols_,
             (local_ordinal_type)nrhs,
             bValues.getRawPtr(),  &(data_.common_)) ;
          }
          else {
          ::KLU2::klu_solve<slu_type, local_ordinal_type>
            (data_.symbolic_, data_.numeric_,
             (local_ordinal_type)this->globalNumCols_,
             (local_ordinal_type)nrhs,
             bValues.getRawPtr(),  &(data_.common_)) ;
          }
        }
        else
        {
        // For this case, Crs matrix raw pointers wereused, so the non-transpose default solve 
        // is actually the transpose solve as klu_solve expects Ccs matrix pointers
        // Thus, if the transFlag_ is true, the non-transpose solve should be used
          if ( single_proc_optimization() ) {
          ::KLU2::klu_solve<slu_type, local_ordinal_type>
            (data_.symbolic_, data_.numeric_,
             (local_ordinal_type)this->globalNumCols_,
             (local_ordinal_type)nrhs,
             bValues.getRawPtr(),  &(data_.common_)) ;
          }
          else {
          ::KLU2::klu_tsolve<slu_type, local_ordinal_type>
            (data_.symbolic_, data_.numeric_,
             (local_ordinal_type)this->globalNumCols_,
             (local_ordinal_type)nrhs,
             bValues.getRawPtr(),  &(data_.common_)) ;
          }
        }
      } //end Timer scope
    } // end root_

    /* All processes should have the same error code */
    // Teuchos::broadcast(*(this->getComm()), 0, &ierr);

    // global_size_type ierr_st = as<global_size_type>(ierr); // unused
    // TODO
    //TEUCHOS_TEST_FOR_EXCEPTION( ierr < 0,
    //std::invalid_argument,
    //"Argument " << -ierr << " to KLU2 xgssvx had illegal value" );
    //TEUCHOS_TEST_FOR_EXCEPTION( ierr > 0 && ierr_st <= this->globalNumCols_,
    //std::runtime_error,
    //"Factorization complete, but U is exactly singular" );
    //TEUCHOS_TEST_FOR_EXCEPTION( ierr > 0 && ierr_st > this->globalNumCols_ + 1,
    //std::runtime_error,
    //"KLU2 allocated " << ierr - this->globalNumCols_ << " bytes of "
    //"memory before allocation failure occured." );

    /* Update X's global values */
    {
#ifdef HAVE_AMESOS2_TIMERS
      Teuchos::TimeMonitor redistTimer(this->timers_.vecRedistTime_);
#endif

      if ( is_contiguous_ == true ) {
        Util::put_1d_data_helper<
          MultiVecAdapter<Vector>,slu_type>::do_put(X, bValues(),
              as<size_t>(ld_rhs),
              ROOTED, this->rowIndexBase_);
      }
      else {
        Util::put_1d_data_helper<
          MultiVecAdapter<Vector>,slu_type>::do_put(X, bValues(),
              as<size_t>(ld_rhs),
              CONTIGUOUS_AND_ROOTED, this->rowIndexBase_);
      }
    } // end Timer scope
  } //end else

  return(ierr);
}


template <class Matrix, class Vector>
bool
KLU2<Matrix,Vector>::matrixShapeOK_impl() const
{
  // The KLU2 factorization routines can handle square as well as
  // rectangular matrices, but KLU2 can only apply the solve routines to
  // square matrices, so we check the matrix for squareness.
  return( this->matrixA_->getGlobalNumRows() == this->matrixA_->getGlobalNumCols() );
}


template <class Matrix, class Vector>
void
KLU2<Matrix,Vector>::setParameters_impl(const Teuchos::RCP<Teuchos::ParameterList> & parameterList )
{
  using Teuchos::RCP;
  using Teuchos::getIntegralValue;
  using Teuchos::ParameterEntryValidator;

  RCP<const Teuchos::ParameterList> valid_params = getValidParameters_impl();

  transFlag_ = this->control_.useTranspose_ ? 1: 0;
  // The KLU2 transpose option can override the Amesos2 option
  if( parameterList->isParameter("Trans") ){
    RCP<const ParameterEntryValidator> trans_validator = valid_params->getEntry("Trans").validator();
    parameterList->getEntry("Trans").setValidator(trans_validator);

    transFlag_ = getIntegralValue<int>(*parameterList, "Trans");
  }

  if( parameterList->isParameter("IsContiguous") ){
    is_contiguous_ = parameterList->get<bool>("IsContiguous");
  }
}


template <class Matrix, class Vector>
Teuchos::RCP<const Teuchos::ParameterList>
KLU2<Matrix,Vector>::getValidParameters_impl() const
{
  using std::string;
  using Teuchos::tuple;
  using Teuchos::ParameterList;
  using Teuchos::setStringToIntegralParameter;

  static Teuchos::RCP<const Teuchos::ParameterList> valid_params;

  if( is_null(valid_params) )
  {
    Teuchos::RCP<Teuchos::ParameterList> pl = Teuchos::parameterList();

    pl->set("Equil", true, "Whether to equilibrate the system before solve, does nothing now");
    pl->set("IsContiguous", true, "Whether GIDs contiguous");

    setStringToIntegralParameter<int>("Trans", "NOTRANS",
                                      "Solve for the transpose system or not",
                                      tuple<string>("NOTRANS","TRANS","CONJ"),
                                      tuple<string>("Solve with transpose",
                                                    "Do not solve with transpose",
                                                    "Solve with the conjugate transpose"),
                                      tuple<int>(0, 1, 2),
                                      pl.getRawPtr());
    valid_params = pl;
  }

  return valid_params;
}


template <class Matrix, class Vector>
bool
KLU2<Matrix,Vector>::loadA_impl(EPhase current_phase)
{
  using Teuchos::as;

  if(current_phase == SOLVE)return(false);

  if ( single_proc_optimization() ) {
    // Do nothing in this case - Crs raw pointers will be used
  }
  else 
  {

#ifdef HAVE_AMESOS2_TIMERS
  Teuchos::TimeMonitor convTimer(this->timers_.mtxConvTime_);
#endif

  // Only the root image needs storage allocated
  if( this->root_ ){
    nzvals_.resize(this->globalNumNonZeros_);
    rowind_.resize(this->globalNumNonZeros_);
    colptr_.resize(this->globalNumCols_ + 1);
  }

  local_ordinal_type nnz_ret = 0;
  {
#ifdef HAVE_AMESOS2_TIMERS
    Teuchos::TimeMonitor mtxRedistTimer( this->timers_.mtxRedistTime_ );
#endif

    if ( is_contiguous_ == true ) {
      Util::get_ccs_helper<
        MatrixAdapter<Matrix>,slu_type,local_ordinal_type,local_ordinal_type>
        ::do_get(this->matrixA_.ptr(), nzvals_(), rowind_(), colptr_(),
            nnz_ret, ROOTED, ARBITRARY, this->rowIndexBase_);
    }
    else {
      Util::get_ccs_helper<
        MatrixAdapter<Matrix>,slu_type,local_ordinal_type,local_ordinal_type>
        ::do_get(this->matrixA_.ptr(), nzvals_(), rowind_(), colptr_(),
            nnz_ret, CONTIGUOUS_AND_ROOTED, ARBITRARY, this->rowIndexBase_);
    }
  }


  if( this->root_ ){
    TEUCHOS_TEST_FOR_EXCEPTION( nnz_ret != as<local_ordinal_type>(this->globalNumNonZeros_),
                        std::runtime_error,
                        "Did not get the expected number of non-zero vals");
  }

  } //end else single_process_optim_check = false

  return true;
}


template<class Matrix, class Vector>
const char* KLU2<Matrix,Vector>::name = "KLU2";


} // end namespace Amesos2

#endif  // AMESOS2_KLU2_DEF_HPP