/usr/include/trilinos/Amesos2_KLU2_def.hpp is in libtrilinos-amesos2-dev 12.10.1-3.
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//
// ***********************************************************************
//
// Amesos2: Templated Direct Sparse Solver Package
// Copyright 2011 Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
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// @HEADER
/**
\file Amesos2_KLU2_def.hpp
\author Siva Rajamanickam <srajama@sandia.gov>
\brief Definitions for the Amesos2 KLU2 solver interface
*/
#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)
{
::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>
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_)) ;
data_.symbolic_ = ::KLU2::klu_analyze<slu_type, local_ordinal_type>
((local_ordinal_type)this->globalNumCols_, colptr_.getRawPtr(),
rowind_.getRawPtr(), &(data_.common_)) ;
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_)) ;
data_.numeric_ = ::KLU2::klu_factor<slu_type, local_ordinal_type>
(colptr_.getRawPtr(), rowind_.getRawPtr(), nzvals_.getRawPtr(),
data_.symbolic_, &(data_.common_)) ;
}
}
/* All processes should have the same error code */
Teuchos::broadcast(*(this->matrixA_->getComm()), 0, &info);
//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;
const global_size_type ld_rhs = this->root_ ? X->getGlobalLength() : 0;
const size_t nrhs = X->getGlobalNumVectors();
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
Util::get_1d_copy_helper<MultiVecAdapter<Vector>,
slu_type>::do_get(B, bValues(),
as<size_t>(ld_rhs),
ROOTED);
}
int ierr = 0; // returned error code
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)
{
::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_)) ;
}
}
}
/* 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
Util::put_1d_data_helper<
MultiVecAdapter<Vector>,slu_type>::do_put(X, bValues(),
as<size_t>(ld_rhs),
ROOTED);
}
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");
}
}
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");
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);
#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
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_);
}
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");
}
return true;
}
template<class Matrix, class Vector>
const char* KLU2<Matrix,Vector>::name = "KLU2";
} // end namespace Amesos2
#endif // AMESOS2_KLU2_DEF_HPP
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