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104 lines
3.9 KiB
C++
104 lines
3.9 KiB
C++
/*
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Copyright 2015 Dr. Markus Blatt - HPC-Simulation-Software & Services
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Copyright 2015 NTNU
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Copyright 2015 Statoil 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 NVERBOSE // to suppress our messages when throwing
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#define BOOST_TEST_MODULE OPM-ParallelIstlInformation
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#include <boost/test/unit_test.hpp>
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#include "DuneIstlTestHelpers.hpp"
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#include <opm/simulators/linalg/ParallelIstlInformation.hpp>
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#include <functional>
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#ifdef HAVE_DUNE_ISTL
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template<typename T>
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void runSumMaxMinTest(const T offset)
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{
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const int N=100;
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int start, end, istart, iend;
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std::tie(start,istart,iend,end) = computeRegions(N);
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Opm::ParallelISTLInformation comm(MPI_COMM_WORLD);
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auto mat = create1DLaplacian(*comm.indexSet(), N, start, end, istart, iend);
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std::vector<T> x(end-start);
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assert(comm.indexSet()->size()==x.size());
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for(auto it=comm.indexSet()->begin(), itend=comm.indexSet()->end(); it!=itend; ++it)
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x[it->local()]=it->global()+offset;
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auto containers = std::make_tuple(x, x, x, x, x);
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auto operators = std::make_tuple(Opm::Reduction::makeGlobalSumFunctor<T>(),
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Opm::Reduction::makeGlobalMaxFunctor<T>(),
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Opm::Reduction::makeGlobalMinFunctor<T>(),
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Opm::Reduction::makeInnerProductFunctor<T>(),
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Opm::Reduction::makeLInfinityNormFunctor<T>());
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auto values = std::tuple<T,T,T,T,T>(0,0,100000, 0, 0);
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auto oldvalues = values;
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start = offset;
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end = start+N;
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comm.computeReduction(containers,operators,values);
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BOOST_CHECK(std::get<0>(values)==std::get<0>(oldvalues)+((N-1+2*offset)*N)/2);
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BOOST_CHECK(std::get<1>(values)==std::max(N+offset-1, std::get<1>(oldvalues)));
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BOOST_CHECK(std::get<2>(values)==std::min(offset, std::get<2>(oldvalues)));
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BOOST_CHECK(std::get<3>(values)==((end-1)*end*(2*end-1)-(start-1)*start*(2*start-1))/6+std::get<3>(oldvalues));
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// Must avoid std::abs() directly to prevent ambiguity with unsigned integers.
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Opm::Reduction::detail::MaxAbsFunctor<T> maxabsfunc;
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BOOST_CHECK(std::get<4>(values)==maxabsfunc(offset, N+offset-1));
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}
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BOOST_AUTO_TEST_CASE(tupleReductionTestInt)
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{
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runSumMaxMinTest<int>(-200);
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runSumMaxMinTest<int>(0);
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runSumMaxMinTest<int>(20);
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runSumMaxMinTest<int>(-20);
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}
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BOOST_AUTO_TEST_CASE(tupleReductionTestUnsignedInt)
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{
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runSumMaxMinTest<std::size_t>(0);
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runSumMaxMinTest<std::size_t>(20);
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}
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BOOST_AUTO_TEST_CASE(tupleReductionTestFloat)
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{
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runSumMaxMinTest<float>(-200);
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runSumMaxMinTest<float>(0);
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runSumMaxMinTest<float>(20);
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runSumMaxMinTest<float>(-20);
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}
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BOOST_AUTO_TEST_CASE(singleContainerReductionTest)
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{
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int N=100;
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int start, end, istart, iend;
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std::tie(start,istart,iend,end) = computeRegions(N);
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Opm::ParallelISTLInformation comm(MPI_COMM_WORLD);
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auto mat = create1DLaplacian(*comm.indexSet(), N, start, end, istart, iend);
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std::vector<int> x(end-start);
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assert(comm.indexSet()->size()==x.size());
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for(auto it=comm.indexSet()->begin(), itend=comm.indexSet()->end(); it!=itend; ++it)
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x[it->local()]=it->global();
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int value = 1;
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int oldvalue = value;
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comm.computeReduction(x,Opm::Reduction::makeGlobalSumFunctor<int>(),value);
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BOOST_CHECK(value==oldvalue+((N-1)*N)/2);
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}
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#endif
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