//@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 namespace Test { namespace stdalgos { namespace TeamTransformUnaryOp { namespace KE = Kokkos::Experimental; template struct PlusTwoUnaryOp { KOKKOS_INLINE_FUNCTION ValueType operator()(const ValueType& val) const { return val + static_cast(2); } }; template struct TestFunctorA { SourceViewType m_sourceView; DestViewType m_destView; DistancesViewType m_distancesView; IntraTeamSentinelView m_intraTeamSentinelView; int m_apiPick; TestFunctorA(const SourceViewType sourceView, const DestViewType destView, const DistancesViewType distancesView, const IntraTeamSentinelView intraTeamSentinelView, int apiPick) : m_sourceView(sourceView), m_destView(destView), m_distancesView(distancesView), m_intraTeamSentinelView(intraTeamSentinelView), m_apiPick(apiPick) {} template KOKKOS_INLINE_FUNCTION void operator()(const MemberType& member) const { const auto myRowIndex = member.league_rank(); auto myRowViewFrom = Kokkos::subview(m_sourceView, myRowIndex, Kokkos::ALL()); auto myRowViewDest = Kokkos::subview(m_destView, myRowIndex, Kokkos::ALL()); ptrdiff_t resultDist = 0; using value_type = typename SourceViewType::value_type; if (m_apiPick == 0) { auto it = KE::transform(member, KE::cbegin(myRowViewFrom), KE::cend(myRowViewFrom), KE::begin(myRowViewDest), PlusTwoUnaryOp()); resultDist = KE::distance(KE::begin(myRowViewDest), it); Kokkos::single(Kokkos::PerTeam(member), [=, *this]() { m_distancesView(myRowIndex) = resultDist; }); } else if (m_apiPick == 1) { auto it = KE::transform(member, myRowViewFrom, myRowViewDest, PlusTwoUnaryOp()); resultDist = KE::distance(KE::begin(myRowViewDest), 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, int apiId) { /* description: team level transform with each team handling a row of a rank-2 source view and applying a unary op that increments each element by two */ // ----------------------------------------------- // 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 [sourceView, cloneOfSourceViewBeforeOp_h] = create_random_view_and_host_clone( LayoutTag{}, numTeams, numCols, Kokkos::pair{0, 523}, "sourceView"); // ----------------------------------------------- // launch kokkos kernel // ----------------------------------------------- using space_t = Kokkos::DefaultExecutionSpace; Kokkos::TeamPolicy policy(numTeams, Kokkos::AUTO()); // create the destination view Kokkos::View destView("destView", numTeams, numCols); // make a host copy of the dest view that we can check below // to be all zeros since this should remain unchanged auto destViewBeforeOp_h = create_host_space_copy(destView); // 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(sourceView, destView, distancesView, intraTeamSentinelView, apiId); Kokkos::parallel_for(policy, fnc); // ----------------------------------------------- // check // ----------------------------------------------- auto distancesView_h = create_host_space_copy(distancesView); auto sourceViewAfterOp_h = create_host_space_copy(sourceView); auto destViewAfterOp_h = create_host_space_copy(destView); auto intraTeamSentinelView_h = create_host_space_copy(intraTeamSentinelView); for (std::size_t i = 0; i < destViewBeforeOp_h.extent(0); ++i) { for (std::size_t j = 0; j < destViewBeforeOp_h.extent(1); ++j) { // source view should not change ASSERT_EQ(sourceViewAfterOp_h(i, j), cloneOfSourceViewBeforeOp_h(i, j)); // elements in dest view should be the source elements plus two ASSERT_EQ(destViewAfterOp_h(i, j), cloneOfSourceViewBeforeOp_h(i, j) + 2); ASSERT_EQ(destViewBeforeOp_h(i, j), ValueType(0)); } // each team should return an iterator whose distance from the // beginning of the row equals the num of columns since // each team transforms all elements in each row EXPECT_TRUE(distancesView_h(i) == numCols); ASSERT_TRUE(intraTeamSentinelView_h(i)); } } template void run_all_scenarios() { for (int numTeams : teamSizesToTest) { for (const auto& numCols : {0, 1, 2, 13, 101, 1444, 11113}) { for (int apiId : {0, 1}) { test_A(numTeams, numCols, apiId); } } } } TEST(std_algorithms_transform_team_test, test_unary_op) { run_all_scenarios(); run_all_scenarios(); run_all_scenarios(); } } // namespace TeamTransformUnaryOp } // namespace stdalgos } // namespace Test