Update Kokkos library in LAMMPS to v4.2
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//@HEADER
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// ************************************************************************
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//
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// Kokkos v. 4.0
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// Copyright (2022) National Technology & Engineering
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// Solutions of Sandia, LLC (NTESS).
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//
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// Under the terms of Contract DE-NA0003525 with NTESS,
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// the U.S. Government retains certain rights in this software.
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//
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// Part of Kokkos, under the Apache License v2.0 with LLVM Exceptions.
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// See https://kokkos.org/LICENSE for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//@HEADER
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#include <TestStdAlgorithmsCommon.hpp>
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namespace Test {
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namespace stdalgos {
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namespace TeamGenerate_n {
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namespace KE = Kokkos::Experimental;
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template <class ValueType>
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struct GenerateFunctor {
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KOKKOS_INLINE_FUNCTION
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ValueType operator()() const { return static_cast<ValueType>(23); }
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};
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template <class ViewType, class DistancesViewType, class IntraTeamSentinelView>
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struct TestFunctorA {
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ViewType m_view;
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DistancesViewType m_distancesView;
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IntraTeamSentinelView m_intraTeamSentinelView;
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std::size_t m_count;
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int m_apiPick;
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TestFunctorA(const ViewType view, const DistancesViewType distancesView,
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const IntraTeamSentinelView intraTeamSentinelView,
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std::size_t count, int apiPick)
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: m_view(view),
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m_distancesView(distancesView),
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m_intraTeamSentinelView(intraTeamSentinelView),
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m_count(count),
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m_apiPick(apiPick) {}
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template <class MemberType>
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KOKKOS_INLINE_FUNCTION void operator()(const MemberType& member) const {
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const auto leagueRank = member.league_rank();
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const auto myRowIndex = leagueRank;
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auto myRowView = Kokkos::subview(m_view, myRowIndex, Kokkos::ALL());
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ptrdiff_t resultDist = 0;
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using value_type = typename ViewType::value_type;
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if (m_apiPick == 0) {
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auto it = KE::generate_n(member, KE::begin(myRowView), m_count,
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GenerateFunctor<value_type>());
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resultDist = KE::distance(KE::begin(myRowView), it);
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_distancesView(myRowIndex) = resultDist;
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});
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} else if (m_apiPick == 1) {
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auto it = KE::generate_n(member, myRowView, m_count,
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GenerateFunctor<value_type>());
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resultDist = KE::distance(KE::begin(myRowView), it);
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_distancesView(myRowIndex) = resultDist;
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});
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}
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// store result of checking if all members have their local
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// values matching the one stored in m_distancesView
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member.team_barrier();
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const bool intraTeamCheck = team_members_have_matching_result(
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member, resultDist, m_distancesView(myRowIndex));
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_intraTeamSentinelView(myRowIndex) = intraTeamCheck;
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});
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}
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};
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template <class LayoutTag, class ValueType>
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void test_A(std::size_t numTeams, std::size_t numCols, std::size_t count,
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int apiId) {
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// -----------------------------------------------
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// prepare data
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// -----------------------------------------------
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// create a view in the memory space associated with default exespace
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// with as many rows as the number of teams and fill it with random
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// values from an arbitrary range. Pick range so that it does NOT
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// contain the value produced by the generator (see top of file)
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// otherwise test check below is ill-posed
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auto [dataView, cloneOfDataViewBeforeOp_h] =
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create_random_view_and_host_clone(
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LayoutTag{}, numTeams, numCols,
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Kokkos::pair<ValueType, ValueType>{105, 523}, "dataView");
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// -----------------------------------------------
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// launch kokkos kernel
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// -----------------------------------------------
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using space_t = Kokkos::DefaultExecutionSpace;
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Kokkos::TeamPolicy<space_t> policy(numTeams, Kokkos::AUTO());
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// each team stores the distance of the returned iterator from the
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// beginning of the interval that team operates on and then we check
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// that these distances match the expected value
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Kokkos::View<std::size_t*> distancesView("distancesView", numTeams);
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// sentinel to check if all members of the team compute the same result
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Kokkos::View<bool*> intraTeamSentinelView("intraTeamSameResult", numTeams);
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// use CTAD for functor
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TestFunctorA fnc(dataView, distancesView, intraTeamSentinelView, count,
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apiId);
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Kokkos::parallel_for(policy, fnc);
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// -----------------------------------------------
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// check
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// -----------------------------------------------
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auto dataViewAfterOp_h = create_host_space_copy(dataView);
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auto distancesView_h = create_host_space_copy(distancesView);
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auto intraTeamSentinelView_h = create_host_space_copy(intraTeamSentinelView);
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for (std::size_t i = 0; i < dataView.extent(0); ++i) {
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// check that values match what we expect
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for (std::size_t j = 0; j < count; ++j) {
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ASSERT_EQ(dataViewAfterOp_h(i, j), static_cast<ValueType>(23));
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EXPECT_TRUE(dataViewAfterOp_h(i, j) != cloneOfDataViewBeforeOp_h(i, j));
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}
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// all other elements should be unchanged from before op
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for (std::size_t j = count; j < numCols; ++j) {
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ASSERT_EQ(dataViewAfterOp_h(i, j), cloneOfDataViewBeforeOp_h(i, j));
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}
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// check that returned iterators are correct
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if (count > 0) {
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ASSERT_EQ(distancesView_h(i), std::size_t(count));
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} else {
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ASSERT_EQ(distancesView_h(i), std::size_t(0));
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}
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ASSERT_TRUE(intraTeamSentinelView_h(i));
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}
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}
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template <class Tag, class ValueType>
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void run_all_scenarios() {
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// prepare a map where, for a given set of num cols
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// we provide a list of counts of elements to generate
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// key = num of columns
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// value = list of num of elemenents to generate
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const std::map<int, std::vector<int>> scenarios = {
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{0, {0}},
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{2, {0, 1, 2}},
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{6, {0, 1, 2, 5}},
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{13, {0, 1, 2, 8, 11}},
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{56, {0, 1, 2, 8, 11, 33, 56}},
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{123, {0, 1, 11, 33, 56, 89, 112}}};
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for (int numTeams : teamSizesToTest) {
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for (const auto& scenario : scenarios) {
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const std::size_t numCols = scenario.first;
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for (int countToGenerate : scenario.second) {
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for (int apiId : {0, 1}) {
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test_A<Tag, ValueType>(numTeams, numCols, countToGenerate, apiId);
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}
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}
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}
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}
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}
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TEST(std_algorithms_generate_n_team_test, test) {
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run_all_scenarios<DynamicTag, double>();
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run_all_scenarios<StridedTwoRowsTag, int>();
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run_all_scenarios<StridedThreeRowsTag, unsigned>();
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}
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} // namespace TeamGenerate_n
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} // namespace stdalgos
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} // namespace Test
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