/usr/include/trilinos/Amesos2_KLU2_def.hpp is in libtrilinos-amesos2-dev 12.4.2-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 | // @HEADER
//
// ***********************************************************************
//
// Amesos2: Templated Direct Sparse Solver Package
// Copyright 2011 Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ***********************************************************************
//
// @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_()
{
::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()
{
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
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);
/* 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
::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_)) ;
}
}
/* All processes should have the same error code */
Teuchos::broadcast(*(this->getComm()), 0, &ierr);
global_size_type ierr_st = as<global_size_type>(ierr);
// 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();
if(parameterList->isParameter("Trans"))
{}
// 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);
//data_.options.Trans = getIntegralValue<SLU::trans_t>(*parameterList, "Trans");
//}
}
template <class Matrix, class Vector>
Teuchos::RCP<const Teuchos::ParameterList>
KLU2<Matrix,Vector>::getValidParameters_impl() const
{
using Teuchos::ParameterList;
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");
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);
}
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
|