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https://github.com/OPM/opm-simulators.git
synced 2025-02-25 18:55:30 -06:00
Fix GPU tests, use Dune as reference instead of hardcoded
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57cc18cf1b
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@ -36,7 +36,8 @@
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#include <dune/istl/bvector.hh>
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#include <dune/istl/bvector.hh>
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#include <dune/istl/bcrsmatrix.hh>
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#include <dune/istl/bcrsmatrix.hh>
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#include <dune/istl/matrixmarket.hh>
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#include <dune/istl/matrixmarket.hh>
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#include <dune/istl/solver.hh>
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#include <dune/istl/solvers.hh>
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#include <dune/istl/preconditioners.hh>
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#include <boost/property_tree/json_parser.hpp>
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#include <boost/property_tree/json_parser.hpp>
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#include <boost/property_tree/ptree.hpp>
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#include <boost/property_tree/ptree.hpp>
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@ -48,12 +49,13 @@ public:
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};
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};
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template <int bz>
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template <int bz>
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Dune::BlockVector<Dune::FieldVector<double, bz>>
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testCusparseSolver(const boost::property_tree::ptree& prm, const std::string& matrix_filename, const std::string& rhs_filename)
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{
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using Matrix = Dune::BCRSMatrix<Dune::FieldMatrix<double, bz, bz>>;
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using Matrix = Dune::BCRSMatrix<Dune::FieldMatrix<double, bz, bz>>;
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template <int bz>
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using Vector = Dune::BlockVector<Dune::FieldVector<double, bz>>;
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using Vector = Dune::BlockVector<Dune::FieldVector<double, bz>>;
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Matrix matrix;
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template <int bz>
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void readLinearSystem(const std::string& matrix_filename, const std::string& rhs_filename, Matrix<bz>& matrix, Vector<bz>& rhs)
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{
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{
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{
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std::ifstream mfile(matrix_filename);
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std::ifstream mfile(matrix_filename);
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if (!mfile) {
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if (!mfile) {
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@ -61,7 +63,6 @@ testCusparseSolver(const boost::property_tree::ptree& prm, const std::string& ma
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}
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}
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readMatrixMarket(matrix, mfile);
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readMatrixMarket(matrix, mfile);
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}
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}
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Vector rhs;
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{
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{
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std::ifstream rhsfile(rhs_filename);
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std::ifstream rhsfile(rhs_filename);
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if (!rhsfile) {
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if (!rhsfile) {
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@ -69,6 +70,32 @@ testCusparseSolver(const boost::property_tree::ptree& prm, const std::string& ma
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}
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}
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readMatrixMarket(rhs, rhsfile);
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readMatrixMarket(rhs, rhsfile);
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}
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}
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}
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template <int bz>
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Dune::BlockVector<Dune::FieldVector<double, bz>>
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getDuneSolution(Matrix<bz>& matrix, Vector<bz>& rhs)
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{
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Dune::InverseOperatorResult result;
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Vector<bz> x(rhs.size());
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typedef Dune::MatrixAdapter<Matrix<bz>,Vector<bz>,Vector<bz> > Operator;
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Operator fop(matrix);
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double relaxation = 0.9;
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Dune::SeqILU<Matrix<bz>,Vector<bz>,Vector<bz> > prec(matrix, relaxation);
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double reduction = 1e-2;
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int maxit = 10;
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int verbosity = 0;
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Dune::BiCGSTABSolver<Vector<bz> > solver(fop, prec, reduction, maxit, verbosity);
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solver.apply(x, rhs, result);
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return x;
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}
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template <int bz>
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Dune::BlockVector<Dune::FieldVector<double, bz>>
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testCusparseSolver(const boost::property_tree::ptree& prm, Matrix<bz>& matrix, Vector<bz>& rhs)
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{
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const int linear_solver_verbosity = prm.get<int>("verbosity");
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const int linear_solver_verbosity = prm.get<int>("verbosity");
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const int maxit = prm.get<int>("maxiter");
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const int maxit = prm.get<int>("maxiter");
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@ -81,13 +108,15 @@ testCusparseSolver(const boost::property_tree::ptree& prm, const std::string& ma
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const std::string linsolver("ilu0");
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const std::string linsolver("ilu0");
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Dune::InverseOperatorResult result;
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Dune::InverseOperatorResult result;
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Vector x(rhs.size());
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Vector<bz> x(rhs.size());
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auto wellContribs = Opm::WellContributions::create("cusparse", false);
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std::unique_ptr<Opm::BdaBridge<Matrix, Vector, bz> > bridge;
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try {
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bridge = std::make_unique<Opm::BdaBridge<Matrix, Vector, bz> >(accelerator_mode, fpga_bitstream, linear_solver_verbosity, maxit, tolerance, platformID, deviceID, opencl_ilu_reorder, linsolver);
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bridge->solve_system(&matrix, rhs, *wellContribs, result);
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auto wellContribs = Opm::WellContributions::create("cusparse", false);
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std::unique_ptr<Opm::BdaBridge<Matrix<bz>, Vector<bz>, bz> > bridge;
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try {
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bridge = std::make_unique<Opm::BdaBridge<Matrix<bz>, Vector<bz>, bz> >(accelerator_mode, fpga_bitstream, linear_solver_verbosity, maxit, tolerance, platformID, deviceID, opencl_ilu_reorder, linsolver);
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auto mat2 = matrix; // deep copy to make sure nnz values are in contiguous memory
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// matrix created by readMatrixMarket() did not have contiguous memory
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bridge->solve_system(&mat2, rhs, *wellContribs, result);
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bridge->get_result(x);
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bridge->get_result(x);
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return x;
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return x;
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@ -105,14 +134,17 @@ namespace pt = boost::property_tree;
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void test3(const pt::ptree& prm)
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void test3(const pt::ptree& prm)
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{
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{
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const int bz = 3;
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const int bz = 3;
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auto sol = testCusparseSolver<bz>(prm, "matr33.txt", "rhs3.txt");
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Matrix<bz> matrix;
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Dune::BlockVector<Dune::FieldVector<double, bz>> expected {{-0.0131626, -3.5826e-6, 1.138362e-9},
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Vector<bz> rhs;
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{-1.25425e-3, -1.4167e-4, -0.0029366},
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readLinearSystem("matr33.txt", "rhs3.txt", matrix, rhs);
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{-4.54355e-4, 1.28682e-5, 4.7644e-6}};
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Vector<bz> rhs2 = rhs; // deep copy, getDuneSolution() changes values in rhs vector
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BOOST_REQUIRE_EQUAL(sol.size(), expected.size());
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auto duneSolution = getDuneSolution<bz>(matrix, rhs);
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auto sol = testCusparseSolver<bz>(prm, matrix, rhs2);
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BOOST_REQUIRE_EQUAL(sol.size(), duneSolution.size());
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for (size_t i = 0; i < sol.size(); ++i) {
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for (size_t i = 0; i < sol.size(); ++i) {
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for (int row = 0; row < bz; ++row) {
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for (int row = 0; row < bz; ++row) {
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BOOST_CHECK_CLOSE(sol[i][row], expected[i][row], 1e-3);
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BOOST_CHECK_CLOSE(sol[i][row], duneSolution[i][row], 1e-3);
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}
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}
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}
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}
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}
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}
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@ -36,6 +36,8 @@
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#include <dune/istl/bvector.hh>
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#include <dune/istl/bvector.hh>
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#include <dune/istl/bcrsmatrix.hh>
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#include <dune/istl/bcrsmatrix.hh>
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#include <dune/istl/matrixmarket.hh>
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#include <dune/istl/matrixmarket.hh>
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#include <dune/istl/solvers.hh>
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#include <dune/istl/preconditioners.hh>
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#include <boost/property_tree/json_parser.hpp>
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#include <boost/property_tree/json_parser.hpp>
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#include <boost/property_tree/ptree.hpp>
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#include <boost/property_tree/ptree.hpp>
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@ -47,12 +49,13 @@ public:
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};
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};
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template <int bz>
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template <int bz>
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Dune::BlockVector<Dune::FieldVector<double, bz>>
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testOpenclSolver(const boost::property_tree::ptree& prm, const std::string& matrix_filename, const std::string& rhs_filename)
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{
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using Matrix = Dune::BCRSMatrix<Dune::FieldMatrix<double, bz, bz>>;
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using Matrix = Dune::BCRSMatrix<Dune::FieldMatrix<double, bz, bz>>;
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template <int bz>
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using Vector = Dune::BlockVector<Dune::FieldVector<double, bz>>;
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using Vector = Dune::BlockVector<Dune::FieldVector<double, bz>>;
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Matrix matrix;
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template <int bz>
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void readLinearSystem(const std::string& matrix_filename, const std::string& rhs_filename, Matrix<bz>& matrix, Vector<bz>& rhs)
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{
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{
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{
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std::ifstream mfile(matrix_filename);
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std::ifstream mfile(matrix_filename);
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if (!mfile) {
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if (!mfile) {
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@ -60,7 +63,6 @@ testOpenclSolver(const boost::property_tree::ptree& prm, const std::string& matr
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}
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}
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readMatrixMarket(matrix, mfile);
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readMatrixMarket(matrix, mfile);
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}
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}
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Vector rhs;
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{
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{
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std::ifstream rhsfile(rhs_filename);
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std::ifstream rhsfile(rhs_filename);
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if (!rhsfile) {
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if (!rhsfile) {
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@ -68,7 +70,32 @@ testOpenclSolver(const boost::property_tree::ptree& prm, const std::string& matr
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}
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}
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readMatrixMarket(rhs, rhsfile);
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readMatrixMarket(rhs, rhsfile);
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}
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}
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}
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template <int bz>
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Dune::BlockVector<Dune::FieldVector<double, bz>>
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getDuneSolution(Matrix<bz>& matrix, Vector<bz>& rhs)
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{
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Dune::InverseOperatorResult result;
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Vector<bz> x(rhs.size());
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typedef Dune::MatrixAdapter<Matrix<bz>,Vector<bz>,Vector<bz> > Operator;
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Operator fop(matrix);
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double relaxation = 0.9;
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Dune::SeqILU<Matrix<bz>,Vector<bz>,Vector<bz> > prec(matrix, relaxation);
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double reduction = 1e-2;
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int maxit = 10;
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int verbosity = 0;
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Dune::BiCGSTABSolver<Vector<bz> > solver(fop, prec, reduction, maxit, verbosity);
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solver.apply(x, rhs, result);
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return x;
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}
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template <int bz>
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Dune::BlockVector<Dune::FieldVector<double, bz>>
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testOpenclSolver(const boost::property_tree::ptree& prm, Matrix<bz>& matrix, Vector<bz>& rhs)
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{
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const int linear_solver_verbosity = prm.get<int>("verbosity");
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const int linear_solver_verbosity = prm.get<int>("verbosity");
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const int maxit = prm.get<int>("maxiter");
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const int maxit = prm.get<int>("maxiter");
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const double tolerance = prm.get<double>("tol");
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const double tolerance = prm.get<double>("tol");
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@ -80,16 +107,18 @@ testOpenclSolver(const boost::property_tree::ptree& prm, const std::string& matr
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const std::string linsolver("ilu0");
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const std::string linsolver("ilu0");
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Dune::InverseOperatorResult result;
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Dune::InverseOperatorResult result;
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Vector x(rhs.size());
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Vector<bz> x(rhs.size());
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auto wellContribs = Opm::WellContributions::create("opencl", false);
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auto wellContribs = Opm::WellContributions::create("opencl", false);
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std::unique_ptr<Opm::BdaBridge<Matrix, Vector, bz> > bridge;
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std::unique_ptr<Opm::BdaBridge<Matrix<bz>, Vector<bz>, bz> > bridge;
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try {
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try {
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bridge = std::make_unique<Opm::BdaBridge<Matrix, Vector, bz> >(accelerator_mode, fpga_bitstream, linear_solver_verbosity, maxit, tolerance, platformID, deviceID, opencl_ilu_reorder, linsolver);
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bridge = std::make_unique<Opm::BdaBridge<Matrix<bz>, Vector<bz>, bz> >(accelerator_mode, fpga_bitstream, linear_solver_verbosity, maxit, tolerance, platformID, deviceID, opencl_ilu_reorder, linsolver);
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} catch (const std::logic_error& error) {
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} catch (const std::logic_error& error) {
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BOOST_WARN_MESSAGE(true, error.what());
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BOOST_WARN_MESSAGE(true, error.what());
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throw PlatformInitException(error.what());
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throw PlatformInitException(error.what());
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}
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}
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bridge->solve_system(&matrix, rhs, *wellContribs, result);
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auto mat2 = matrix; // deep copy to make sure nnz values are in contiguous memory
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// matrix created by readMatrixMarket() did not have contiguous memory
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bridge->solve_system(&mat2, rhs, *wellContribs, result);
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bridge->get_result(x);
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bridge->get_result(x);
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return x;
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return x;
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void test3(const pt::ptree& prm)
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void test3(const pt::ptree& prm)
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{
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{
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const int bz = 3;
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const int bz = 3;
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auto sol = testOpenclSolver<bz>(prm, "matr33.txt", "rhs3.txt");
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Matrix<bz> matrix;
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Dune::BlockVector<Dune::FieldVector<double, bz>> expected {{-0.0131626, -3.58263e-6, 1.13836e-9},
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Vector<bz> rhs;
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{-1.25425e-3, -1.4167e-4, -0.0029366},
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readLinearSystem("matr33.txt", "rhs3.txt", matrix, rhs);
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{-4.5436e-4, 1.28682e-5, 4.7644e-6}};
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Vector<bz> rhs2 = rhs; // deep copy, getDuneSolution() changes values in rhs vector
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BOOST_REQUIRE_EQUAL(sol.size(), expected.size());
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auto duneSolution = getDuneSolution<bz>(matrix, rhs);
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auto sol = testOpenclSolver<bz>(prm, matrix, rhs2);
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BOOST_REQUIRE_EQUAL(sol.size(), duneSolution.size());
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for (size_t i = 0; i < sol.size(); ++i) {
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for (size_t i = 0; i < sol.size(); ++i) {
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for (int row = 0; row < bz; ++row) {
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for (int row = 0; row < bz; ++row) {
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BOOST_CHECK_CLOSE(sol[i][row], expected[i][row], 1e-3);
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BOOST_CHECK_CLOSE(sol[i][row], duneSolution[i][row], 1e-3);
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}
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}
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}
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}
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}
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}
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