//@HEADER // ************************************************************************ // // Kokkos v. 4.0 // Copyright (2022) National Technology & Engineering // Solutions of Sandia, LLC (NTESS). // // Under the terms of Contract DE-NA0003525 with NTESS, // the U.S. Government retains certain rights in this software. // // Part of Kokkos, under the Apache License v2.0 with LLVM Exceptions. // See https://kokkos.org/LICENSE for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //@HEADER #include #include namespace Test { namespace stdalgos { namespace TeamRotate { namespace KE = Kokkos::Experimental; template struct TestFunctorA { ViewType m_view; DistancesViewType m_distancesView; IntraTeamSentinelView m_intraTeamSentinelView; std::size_t m_pivotShift; int m_apiPick; TestFunctorA(const ViewType view, const DistancesViewType distancesView, const IntraTeamSentinelView intraTeamSentinelView, std::size_t pivotShift, int apiPick) : m_view(view), m_distancesView(distancesView), m_intraTeamSentinelView(intraTeamSentinelView), m_pivotShift(pivotShift), m_apiPick(apiPick) {} template KOKKOS_INLINE_FUNCTION void operator()(const MemberType& member) const { const auto myRowIndex = member.league_rank(); auto myRowView = Kokkos::subview(m_view, myRowIndex, Kokkos::ALL()); ptrdiff_t resultDist = 0; if (m_apiPick == 0) { auto pivot = KE::begin(myRowView) + m_pivotShift; auto it = KE::rotate(member, KE::begin(myRowView), pivot, KE::end(myRowView)); resultDist = KE::distance(KE::begin(myRowView), it); Kokkos::single(Kokkos::PerTeam(member), [=, *this]() { m_distancesView(myRowIndex) = resultDist; }); } else if (m_apiPick == 1) { auto it = KE::rotate(member, myRowView, m_pivotShift); resultDist = KE::distance(KE::begin(myRowView), it); Kokkos::single(Kokkos::PerTeam(member), [=, *this]() { m_distancesView(myRowIndex) = resultDist; }); } // store result of checking if all members have their local // values matching the one stored in m_distancesView member.team_barrier(); const bool intraTeamCheck = team_members_have_matching_result( member, resultDist, m_distancesView(myRowIndex)); Kokkos::single(Kokkos::PerTeam(member), [=, *this]() { m_intraTeamSentinelView(myRowIndex) = intraTeamCheck; }); } }; template void test_A(std::size_t numTeams, std::size_t numCols, std::size_t pivotShift, int apiId) { /* description: randomly fill a rank-2 view and for a given pivot, do a team-level KE::rotate */ // ----------------------------------------------- // prepare data // ----------------------------------------------- // create a view in the memory space associated with default exespace // with as many rows as the number of teams and fill it with random // values from an arbitrary range auto [dataView, cloneOfDataViewBeforeOp_h] = create_random_view_and_host_clone( LayoutTag{}, numTeams, numCols, Kokkos::pair{11, 523}, "dataView"); // ----------------------------------------------- // launch kokkos kernel // ----------------------------------------------- using space_t = Kokkos::DefaultExecutionSpace; Kokkos::TeamPolicy policy(numTeams, Kokkos::AUTO()); // each team stores the distance of the returned iterator from the // beginning of the interval that team operates on and then we check // that these distances match the expectation Kokkos::View distancesView("distancesView", numTeams); // sentinel to check if all members of the team compute the same result Kokkos::View intraTeamSentinelView("intraTeamSameResult", numTeams); // use CTAD for functor TestFunctorA fnc(dataView, distancesView, intraTeamSentinelView, pivotShift, apiId); Kokkos::parallel_for(policy, fnc); // ----------------------------------------------- // run std algo and check // ----------------------------------------------- // here I can use cloneOfDataViewBeforeOp_h to run std algo on // since that contains a valid copy of the data auto distancesView_h = create_host_space_copy(distancesView); auto intraTeamSentinelView_h = create_host_space_copy(intraTeamSentinelView); for (std::size_t i = 0; i < cloneOfDataViewBeforeOp_h.extent(0); ++i) { auto myRow = Kokkos::subview(cloneOfDataViewBeforeOp_h, i, Kokkos::ALL()); auto pivot = KE::begin(myRow) + pivotShift; auto it = std::rotate(KE::begin(myRow), pivot, KE::end(myRow)); const std::size_t stdDistance = KE::distance(KE::begin(myRow), it); ASSERT_EQ(stdDistance, distancesView_h(i)); ASSERT_TRUE(intraTeamSentinelView_h(i)); } auto dataViewAfterOp_h = create_host_space_copy(dataView); expect_equal_host_views(cloneOfDataViewBeforeOp_h, dataViewAfterOp_h); } template struct UnifDist; template <> struct UnifDist { using dist_type = std::uniform_int_distribution; std::mt19937 m_gen; dist_type m_dist; UnifDist(int b, std::size_t seedIn) : m_dist(0, b) { m_gen.seed(seedIn); } int operator()() { return m_dist(m_gen); } }; template void run_all_scenarios() { for (int numTeams : teamSizesToTest) { for (const auto& numCols : {0, 1, 2, 13, 101, 1153}) { // given numTeams, numCols, randomly pick a few pivots to test constexpr int numPivotsToTest = 5; UnifDist pivotsProducer(numCols, 3123377); for (int k = 0; k < numPivotsToTest; ++k) { const auto pivotIndex = pivotsProducer(); // test all apis for (int apiId : {0, 1}) { test_A(numTeams, numCols, pivotIndex, apiId); } } } } } TEST(std_algorithms_rotate_team_test, test) { run_all_scenarios(); run_all_scenarios(); run_all_scenarios(); } } // namespace TeamRotate } // namespace stdalgos } // namespace Test