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https://github.com/OPM/opm-simulators.git
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263e1a6928
Setting it to nonzero means starting to approximate from memory garbage values.
278 lines
9.0 KiB
C++
278 lines
9.0 KiB
C++
/*
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Copyright 2014 SINTEF ICT, Applied Mathematics.
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Copyright 2014 STATOIL ASA.
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This file is part of the Open Porous Media project (OPM).
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OPM is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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OPM is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with OPM. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include "config.h"
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#include <cstring>
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#include <opm/core/linalg/LinearSolverPetsc.hpp>
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#include <unordered_map>
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#define PETSC_CLANGUAGE_CXX 1 //enable CHKERRXX macro.
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#include <petsc.h>
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#include <opm/core/utility/ErrorMacros.hpp>
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namespace Opm
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{
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namespace{
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class KSPTypeMap {
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public:
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explicit
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KSPTypeMap(const std::string& default_type = "gmres")
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: default_type_(default_type)
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{
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type_map_.insert(std::make_pair("richardson", KSPRICHARDSON));
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type_map_.insert(std::make_pair("chebyshev", KSPCHEBYSHEV));
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type_map_.insert(std::make_pair("cg", KSPCG));
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type_map_.insert(std::make_pair("bicgs", KSPBICG));
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type_map_.insert(std::make_pair("gmres", KSPGMRES));
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type_map_.insert(std::make_pair("fgmres", KSPFGMRES));
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type_map_.insert(std::make_pair("dgmres", KSPDGMRES));
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type_map_.insert(std::make_pair("gcr", KSPGCR));
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type_map_.insert(std::make_pair("bcgs", KSPBCGS));
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type_map_.insert(std::make_pair("cgs", KSPCGS));
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type_map_.insert(std::make_pair("tfqmr", KSPTFQMR));
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type_map_.insert(std::make_pair("tcqmr", KSPTCQMR));
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type_map_.insert(std::make_pair("cr", KSPCR));
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type_map_.insert(std::make_pair("preonly", KSPPREONLY));
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}
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KSPType
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find(const std::string& type) const
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{
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Map::const_iterator it = type_map_.find(type);
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if (it == type_map_.end()) {
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it = type_map_.find(default_type_);
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}
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if (it == type_map_.end()) {
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OPM_THROW(std::runtime_error, "Unknown KSPType: '" << type << "'");
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}
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return it->second;
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}
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private:
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typedef std::unordered_map<std::string, KSPType> Map;
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std::string default_type_;
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Map type_map_;
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};
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class PCTypeMap {
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public:
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explicit
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PCTypeMap(const std::string& default_type = "jacobi")
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: default_type_(default_type)
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{
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type_map_.insert(std::make_pair("jacobi", PCJACOBI));
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type_map_.insert(std::make_pair("bjacobi", PCBJACOBI));
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type_map_.insert(std::make_pair("sor", PCSOR));
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type_map_.insert(std::make_pair("eisenstat", PCEISENSTAT));
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type_map_.insert(std::make_pair("icc", PCICC));
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type_map_.insert(std::make_pair("ilu", PCILU));
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type_map_.insert(std::make_pair("asm", PCASM));
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type_map_.insert(std::make_pair("gamg", PCGAMG));
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type_map_.insert(std::make_pair("ksp", PCKSP));
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type_map_.insert(std::make_pair("composite", PCCOMPOSITE));
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type_map_.insert(std::make_pair("lu", PCLU));
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type_map_.insert(std::make_pair("cholesky", PCCHOLESKY));
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type_map_.insert(std::make_pair("none", PCNONE));
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}
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PCType
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find(const std::string& type) const
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{
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Map::const_iterator it = type_map_.find(type);
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if (it == type_map_.end()) {
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it = type_map_.find(default_type_);
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}
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if (it == type_map_.end()) {
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OPM_THROW(std::runtime_error, "Unknown PCType: '" << type << "'");
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}
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return it->second;
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}
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private:
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typedef std::unordered_map<std::string, PCType> Map;
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std::string default_type_;
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Map type_map_;
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};
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struct OEM_DATA {
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/* Convenience struct to handle automatic (de)allocation of some useful
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* variables, as well as group them up for easier parameter passing
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*/
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Vec x;
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Vec b;
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Mat A;
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KSP ksp;
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PC preconditioner;
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OEM_DATA( const int size ) {
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VecCreate( PETSC_COMM_WORLD, &b );
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auto err = VecSetSizes( b, PETSC_DECIDE, size );
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CHKERRXX( err );
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VecSetFromOptions( b );
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KSPCreate( PETSC_COMM_WORLD, &ksp );
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}
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~OEM_DATA() {
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VecDestroy( &x );
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VecDestroy( &b );
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MatDestroy( &A );
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KSPDestroy( &ksp );
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PCDestroy( &preconditioner );
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}
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};
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Vec to_petsc_vec( const double* x, int size ) {
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PetscScalar* vec;
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Vec v;
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VecCreate( PETSC_COMM_WORLD, &v );
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VecSetSizes( v, PETSC_DECIDE, size );
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VecSetFromOptions( v );
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VecGetArray( v, &vec );
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std::memcpy( vec, x, size * sizeof( double ) );
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VecRestoreArray( v, &vec );
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return v;
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}
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void from_petsc_vec( double* x, Vec v ) {
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if( !v ) OPM_THROW( std::runtime_error,
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"PETSc CopySolution: Invalid PETSc vector." );
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PetscScalar* vec;
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PetscInt size;
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VecGetLocalSize( v, &size );
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VecGetArray( v, &vec );
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std::memcpy( x, vec, size * sizeof( double ) );
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VecRestoreArray( v, &vec );
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}
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Mat to_petsc_mat( const int size, const int nonzeros,
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const int* ia, const int* ja, const double* sa ) {
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Mat A;
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auto err = MatCreateSeqAIJWithArrays( PETSC_COMM_WORLD, size, size, (int*)ia, (int*)ja, (double*)sa, &A );
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CHKERRXX( err );
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return A;
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}
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void solve_system( OEM_DATA& t, KSPType method, PCType pcname,
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double rtol, double atol, double dtol, int maxits, int ksp_view ) {
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PetscInt its;
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PetscReal residual;
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KSPConvergedReason reason;
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KSPSetOperators( t.ksp, t.A, t.A, DIFFERENT_NONZERO_PATTERN );
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KSPGetPC( t.ksp, &t.preconditioner );
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auto err = KSPSetType( t.ksp, method );
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CHKERRXX( err );
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err = PCSetType( t.preconditioner, pcname );
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CHKERRXX( err );
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err = KSPSetTolerances( t.ksp, rtol, atol, dtol, maxits );
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CHKERRXX( err );
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err = KSPSetFromOptions( t.ksp );
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CHKERRXX( err );
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KSPSetInitialGuessNonzero( t.ksp, PETSC_FALSE );
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KSPSolve( t.ksp, t.x, t.b );
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KSPGetConvergedReason( t.ksp, &reason );
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KSPGetIterationNumber( t.ksp, &its );
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KSPGetResidualNorm( t.ksp, &residual );
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if( ksp_view )
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KSPView( t.ksp, PETSC_VIEWER_STDOUT_WORLD );
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err = PetscPrintf( PETSC_COMM_WORLD, "KSP Iterations %D, Final Residual %G\n", its, residual );
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CHKERRXX( err );
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}
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} // anonymous namespace.
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LinearSolverPetsc::LinearSolverPetsc(const parameter::ParameterGroup& param)
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: ksp_type_( param.getDefault( std::string( "ksp_type" ), std::string( "gmres" ) ) )
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, pc_type_( param.getDefault( std::string( "pc_type" ), std::string( "sor" ) ) )
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, ksp_view_( param.getDefault( std::string( "ksp_view" ), int( false ) ) )
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, rtol_( param.getDefault( std::string( "ksp_rtol" ), 1e-5 ) )
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, atol_( param.getDefault( std::string( "ksp_atol" ), 1e-50 ) )
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, dtol_( param.getDefault( std::string( "ksp_dtol" ), 1e5 ) )
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, maxits_( param.getDefault( std::string( "ksp_max_it" ), 1e5 ) )
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{
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int argc = 0;
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char** argv = NULL;
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PetscInitialize(&argc, &argv, (char*)0, "Petsc interface for OPM!\n");
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}
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LinearSolverPetsc::~LinearSolverPetsc()
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{
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PetscFinalize();
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}
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LinearSolverInterface::LinearSolverReport
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LinearSolverPetsc::solve(const int size,
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const int nonzeros,
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const int* ia,
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const int* ja,
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const double* sa,
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const double* rhs,
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double* solution,
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const boost::any&) const
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{
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KSPTypeMap ksp(ksp_type_);
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KSPType ksp_type = ksp.find(ksp_type_);
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PCTypeMap pc(pc_type_);
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PCType pc_type = pc.find(pc_type_);
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OEM_DATA t( size );
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t.A = to_petsc_mat( size, nonzeros, ia, ja, sa );
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t.x = to_petsc_vec( rhs, size );
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solve_system( t, ksp_type, pc_type, rtol_, atol_, dtol_, maxits_, ksp_view_ );
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from_petsc_vec( solution, t.b );
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LinearSolverReport rep = {};
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rep.converged = true;
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return rep;
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}
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void LinearSolverPetsc::setTolerance(const double /*tol*/)
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{
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}
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double LinearSolverPetsc::getTolerance() const
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{
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return -1.;
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}
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} // namespace Opm
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