201 lines
7.8 KiB
C++
201 lines
7.8 KiB
C++
//@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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#include <algorithm>
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namespace Test {
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namespace stdalgos {
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namespace TeamMinMaxElement {
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namespace KE = Kokkos::Experimental;
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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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int m_apiPick;
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TestFunctorA(const ViewType view, const DistancesViewType distancesView,
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IntraTeamSentinelView intraTeamSentinelView, 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_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 myRowIndex = member.league_rank();
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auto myRowView = Kokkos::subview(m_view, myRowIndex, Kokkos::ALL());
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ptrdiff_t resultDist1 = 0;
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ptrdiff_t resultDist2 = 0;
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if (m_apiPick == 0) {
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auto itPair = KE::minmax_element(member, KE::cbegin(myRowView),
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KE::cend(myRowView));
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resultDist1 = KE::distance(KE::cbegin(myRowView), itPair.first);
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resultDist2 = KE::distance(KE::cbegin(myRowView), itPair.second);
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_distancesView(myRowIndex, 0) = resultDist1;
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m_distancesView(myRowIndex, 1) = resultDist2;
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});
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}
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else if (m_apiPick == 1) {
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auto itPair = KE::minmax_element(member, myRowView);
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resultDist1 = KE::distance(KE::begin(myRowView), itPair.first);
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resultDist2 = KE::distance(KE::begin(myRowView), itPair.second);
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_distancesView(myRowIndex, 0) = resultDist1;
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m_distancesView(myRowIndex, 1) = resultDist2;
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});
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}
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#ifndef KOKKOS_ENABLE_OPENMPTARGET
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else if (m_apiPick == 2) {
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using value_type = typename ViewType::value_type;
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auto itPair =
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KE::minmax_element(member, KE::cbegin(myRowView), KE::cend(myRowView),
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CustomLessThanComparator<value_type>{});
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resultDist1 = KE::distance(KE::cbegin(myRowView), itPair.first);
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resultDist2 = KE::distance(KE::cbegin(myRowView), itPair.second);
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_distancesView(myRowIndex, 0) = resultDist1;
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m_distancesView(myRowIndex, 1) = resultDist2;
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});
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}
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else if (m_apiPick == 3) {
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using value_type = typename ViewType::value_type;
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auto itPair = KE::minmax_element(member, myRowView,
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CustomLessThanComparator<value_type>{});
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resultDist1 = KE::distance(KE::begin(myRowView), itPair.first);
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resultDist2 = KE::distance(KE::begin(myRowView), itPair.second);
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_distancesView(myRowIndex, 0) = resultDist1;
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m_distancesView(myRowIndex, 1) = resultDist2;
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});
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}
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#endif
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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 intraTeamCheck1 = team_members_have_matching_result(
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member, resultDist1, m_distancesView(myRowIndex, 0));
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const bool intraTeamCheck2 = team_members_have_matching_result(
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member, resultDist2, m_distancesView(myRowIndex, 1));
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_intraTeamSentinelView(myRowIndex) = intraTeamCheck1 && intraTeamCheck2;
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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, int apiId) {
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/* description:
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team-level KE::minmax_element on a rank-2 view where
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data is filled randomly and we use one team per row.
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*/
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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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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>{0, 1153}, "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 value 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 expectation
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Kokkos::View<std::size_t**> distancesView("distancesView", numTeams, 2);
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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, apiId);
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Kokkos::parallel_for(policy, fnc);
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// -----------------------------------------------
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// run std algo and check
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// -----------------------------------------------
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// here I can use cloneOfDataViewBeforeOp_h to run std algo on
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// since that contains a valid copy of the data
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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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auto dataViewAfterOp_h = create_host_space_copy(dataView);
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for (std::size_t i = 0; i < cloneOfDataViewBeforeOp_h.extent(0); ++i) {
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auto myRow = Kokkos::subview(cloneOfDataViewBeforeOp_h, i, Kokkos::ALL());
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std::size_t stdDistance[2];
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if (apiId <= 1) {
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auto itPair = std::minmax_element(KE::cbegin(myRow), KE::cend(myRow));
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stdDistance[0] = KE::distance(KE::cbegin(myRow), itPair.first);
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stdDistance[1] = KE::distance(KE::cbegin(myRow), itPair.second);
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} else {
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auto itPair = std::minmax_element(KE::cbegin(myRow), KE::cend(myRow),
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CustomLessThanComparator<value_type>{});
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stdDistance[0] = KE::distance(KE::cbegin(myRow), itPair.first);
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stdDistance[1] = KE::distance(KE::cbegin(myRow), itPair.second);
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}
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ASSERT_EQ(stdDistance[0], distancesView_h(i, 0));
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ASSERT_EQ(stdDistance[1], distancesView_h(i, 1));
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ASSERT_TRUE(intraTeamSentinelView_h(i));
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}
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// dataView should remain unchanged
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expect_equal_host_views(cloneOfDataViewBeforeOp_h, dataViewAfterOp_h);
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}
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template <class LayoutTag, class ValueType>
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void run_all_scenarios() {
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for (int numTeams : teamSizesToTest) {
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for (const auto& numCols : {0, 1, 2, 13, 101, 1444, 5113}) {
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// for OpenMPTarget we need to avod api accepting a custom
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// comparator because it is not supported
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for (int apiId : {0, 1, 2, 3}) {
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test_A<LayoutTag, ValueType>(numTeams, numCols, apiId);
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}
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}
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}
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}
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TEST(std_algorithms_minmax_element_team_test, test) {
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#ifndef KOKKOS_ENABLE_OPENMPTARGET
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run_all_scenarios<DynamicTag, int>();
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run_all_scenarios<StridedTwoRowsTag, double>();
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run_all_scenarios<StridedThreeRowsTag, int>();
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#endif
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}
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} // namespace TeamMinMaxElement
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} // namespace stdalgos
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} // namespace Test
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