mirror of
https://github.com/OPM/opm-simulators.git
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200 lines
6.1 KiB
C++
200 lines
6.1 KiB
C++
/*
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Copyright 2014 Dr. Markus Blatt - HPC-Simulation-Software & Services
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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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#if HAVE_DYNAMIC_BOOST_TEST
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#define BOOST_TEST_DYN_LINK
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#endif
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#define NVERBOSE // to suppress our messages when throwing
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#define BOOST_TEST_MODULE OPM-IterativeSolverTest
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#include <boost/test/unit_test.hpp>
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#include <opm/core/linalg/LinearSolverFactory.hpp>
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#include <opm/core/utility/parameters/ParameterGroup.hpp>
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#include <dune/common/version.hh>
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#include <memory>
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#include <cstdlib>
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#include <string>
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struct MyMatrix
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{
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MyMatrix(int rows, int nnz)
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: data(nnz, 0.0), rowStart(rows+1, -1),
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colIndex(nnz, -1)
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{}
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MyMatrix()
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: data(), rowStart(), colIndex()
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{}
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std::vector<double> data;
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std::vector<int> rowStart;
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std::vector<int> colIndex;
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};
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std::shared_ptr<MyMatrix> createLaplacian(int N)
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{
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MyMatrix* mm=new MyMatrix(N*N, N*N*5);
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int nnz=0;
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mm->rowStart[0]=0;
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for(int row=0; row<N*N; row++)
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{
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int x=row%N;
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int y=row/N;
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if(y>0)
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{
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mm->colIndex[nnz]=row-N;
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mm->data[nnz++]=-1;
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}
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if(x>0)
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{
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mm->colIndex[nnz]=row-1;
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mm->data[nnz++]=-1;
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}
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mm->colIndex[nnz]=row;
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mm->data[nnz++]=4;
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if(x<N-1)
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{
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mm->colIndex[nnz]=row+1;
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mm->data[nnz++]=-1;
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}
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if(y<N-1)
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{
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mm->colIndex[nnz]=row+N;
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mm->data[nnz++]=-1;
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}
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mm->rowStart[row+1]=nnz;
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}
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mm->data.resize(nnz);
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mm->colIndex.resize(nnz);
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return std::shared_ptr<MyMatrix>(mm);
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}
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void createRandomVectors(int NN, std::vector<double>& x, std::vector<double>& b,
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const MyMatrix& mat)
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{
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x.resize(NN);
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for(auto entry=x.begin(), end =x.end(); entry!=end; ++entry)
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*entry=((double) (rand()%100))/10.0;
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b.resize(NN);
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std::fill(b.begin(), b.end(), 0.0);
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// Construct the right hand side as b=A*x
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for(std::size_t row=0; row<mat.rowStart.size()-1; ++row)
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{
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for(int i=mat.rowStart[row], end=mat.rowStart[row+1]; i!=end; ++i)
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{
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b[row]+= mat.data[i]*x[mat.colIndex[i]];
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}
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}
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}
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void run_test(const Opm::parameter::ParameterGroup& param)
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{
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int N=4;
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auto mat = createLaplacian(N);
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std::vector<double> x(N*N), b(N*N);
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createRandomVectors(100*100, x, b, *mat);
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std::vector<double> exact(x);
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std::fill(x.begin(), x.end(), 0.0);
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Opm::LinearSolverFactory ls(param);
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ls.solve(N*N, mat->data.size(), &(mat->rowStart[0]),
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&(mat->colIndex[0]), &(mat->data[0]), &(b[0]),
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&(x[0]));
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}
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BOOST_AUTO_TEST_CASE(DefaultTest)
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{
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Opm::parameter::ParameterGroup param;
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param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
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param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
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run_test(param);
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}
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#ifdef HAVE_DUNE_ISTL
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BOOST_AUTO_TEST_CASE(CGAMGTest)
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{
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Opm::parameter::ParameterGroup param;
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param.insertParameter(std::string("linsolver"), std::string("istl"));
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param.insertParameter(std::string("linsolver_type"), std::string("1"));
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param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
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param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
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run_test(param);
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}
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BOOST_AUTO_TEST_CASE(CGILUTest)
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{
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Opm::parameter::ParameterGroup param;
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param.insertParameter(std::string("linsolver"), std::string("istl"));
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param.insertParameter(std::string("linsolver_type"), std::string("0"));
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param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
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param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
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run_test(param);
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}
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BOOST_AUTO_TEST_CASE(BiCGILUTest)
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{
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Opm::parameter::ParameterGroup param;
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param.insertParameter(std::string("linsolver"), std::string("istl"));
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param.insertParameter(std::string("linsolver_type"), std::string("2"));
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param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
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param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
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run_test(param);
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}
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#if defined(HAS_DUNE_FAST_AMG) || DUNE_VERSION_NEWER(DUNE_ISTL, 2, 3)
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BOOST_AUTO_TEST_CASE(FastAMGTest)
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{
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Opm::parameter::ParameterGroup param;
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param.insertParameter(std::string("linsolver"), std::string("istl"));
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param.insertParameter(std::string("linsolver_type"), std::string("3"));
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param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
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param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
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run_test(param);
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}
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BOOST_AUTO_TEST_CASE(KAMGTest)
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{
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Opm::parameter::ParameterGroup param;
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param.insertParameter(std::string("linsolver"), std::string("istl"));
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param.insertParameter(std::string("linsolver_type"), std::string("4"));
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param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
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run_test(param);
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}
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#endif
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#endif
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#if HAVE_PETSC
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BOOST_AUTO_TEST_CASE(PETScTest)
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{
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Opm::parameter::ParameterGroup param;
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param.insertParameter(std::string("linsolver"), std::string("petsc"));
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param.insertParameter(std::string("ksp_type"), std::string("cg"));
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param.insertParameter(std::string("pc_type"), std::string("jacobi"));
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param.insertParameter(std::string("ksp_rtol"), std::string("1e-10"));
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param.insertParameter(std::string("ksp_view"), std::string("0"));
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run_test(param);
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}
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#endif
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