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https://github.com/OPM/opm-simulators.git
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99 lines
3.8 KiB
C++
99 lines
3.8 KiB
C++
/*
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Copyright 2022-2023 SINTEF AS
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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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#define BOOST_TEST_MODULE TestGpuVectorOperations
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#include <boost/mpl/list.hpp>
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#include <boost/test/unit_test.hpp>
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#include <cuda_runtime.h>
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#include <dune/istl/bcrsmatrix.hh>
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#include <opm/simulators/linalg/gpuistl/GpuJac.hpp>
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#include <opm/simulators/linalg/gpuistl/GpuVector.hpp>
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#include <opm/simulators/linalg/gpuistl/PreconditionerAdapter.hpp>
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#include <opm/simulators/linalg/gpuistl/detail/cusparse_matrix_operations.hpp>
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#include <opm/simulators/linalg/gpuistl/detail/vector_operations.hpp>
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using NumericTypes = boost::mpl::list<double, float>;
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BOOST_AUTO_TEST_CASE_TEMPLATE(ElementWiseMultiplicationOf3By3BlockVectorAndVectorVector, T, NumericTypes)
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{
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/*
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Example in the test for multiplying by element a blockvector with a vector of vectors
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| |1 2 3| | | |3| | | |10| |
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| |5 2 3| | X | |2| | = | |22| |
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| |2 1 1| | | |1| | | |10| |
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*/
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const size_t blocksize = 3;
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const size_t N = 1;
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const T weight = 1.0;
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std::vector<T> hostBlockVector({1.0, 2.0, 3.0, 5.0, 2.0, 3.0, 2.0, 1.0, 2.0});
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std::vector<T> hostVecVector({3.0, 2.0, 1.0});
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std::vector<T> hostDstVector({0, 0, 0});
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Opm::gpuistl::GpuVector<T> deviceBlockVector(hostBlockVector);
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Opm::gpuistl::GpuVector<T> deviceVecVector(hostVecVector);
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Opm::gpuistl::GpuVector<T> deviceDstVector(hostDstVector);
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Opm::gpuistl::detail::weightedDiagMV(
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deviceBlockVector.data(), N, blocksize, weight, deviceVecVector.data(), deviceDstVector.data());
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std::vector<T> expectedVec {10.0, 22.0, 10.0};
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std::vector<T> computedVec = deviceDstVector.asStdVector();
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BOOST_REQUIRE_EQUAL(expectedVec.size(), computedVec.size());
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for (size_t i = 0; i < expectedVec.size(); i++) {
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BOOST_CHECK_CLOSE(expectedVec[i], computedVec[i], 1e-7);
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}
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}
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BOOST_AUTO_TEST_CASE_TEMPLATE(ElementWiseMultiplicationOf2By2BlockVectorAndVectorVector, T, NumericTypes)
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{
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/*
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Example in the test for multiplying by element a blockvector with a vector of vectors
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| |1 2| | | |1| | | | 3.5| |
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0.5 * | |3 4| | X | |3| | = | | 7.5| |
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| | | | | |
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| |4 3| | | |2| | | |10.0| |
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| |2 1| | | |4| | | | 4.0| |
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*/
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const size_t blocksize = 2;
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const size_t N = 2;
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const T weight = 0.5;
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std::vector<T> hostBlockVector({1.0, 2.0, 3.0, 4.0, 4.0, 3.0, 2.0, 1.0});
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std::vector<T> hostVecVector({1.0, 3.0, 2.0, 4.0});
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std::vector<T> hostDstVector({0, 0, 0, 0});
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Opm::gpuistl::GpuVector<T> deviceBlockVector(hostBlockVector);
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Opm::gpuistl::GpuVector<T> deviceVecVector(hostVecVector);
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Opm::gpuistl::GpuVector<T> deviceDstVector(hostDstVector);
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Opm::gpuistl::detail::weightedDiagMV(
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deviceBlockVector.data(), N, blocksize, weight, deviceVecVector.data(), deviceDstVector.data());
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std::vector<T> expectedVec {3.5, 7.5, 10.0, 4.0};
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std::vector<T> computedVec = deviceDstVector.asStdVector();
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BOOST_REQUIRE_EQUAL(expectedVec.size(), computedVec.size());
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for (size_t i = 0; i < expectedVec.size(); i++) {
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BOOST_CHECK_CLOSE(expectedVec[i], computedVec[i], 1e-7);
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}
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}
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