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//@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 <TestStdAlgorithmsCommon.hpp>
#include <algorithm>
namespace Test {
namespace stdalgos {
namespace TeamMinMaxElement {
namespace KE = Kokkos::Experimental;
template <class ViewType, class DistancesViewType, class IntraTeamSentinelView>
struct TestFunctorA {
ViewType m_view;
DistancesViewType m_distancesView;
IntraTeamSentinelView m_intraTeamSentinelView;
int m_apiPick;
TestFunctorA(const ViewType view, const DistancesViewType distancesView,
IntraTeamSentinelView intraTeamSentinelView, int apiPick)
: m_view(view),
m_distancesView(distancesView),
m_intraTeamSentinelView(intraTeamSentinelView),
m_apiPick(apiPick) {}
template <class MemberType>
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 resultDist1 = 0;
ptrdiff_t resultDist2 = 0;
if (m_apiPick == 0) {
auto itPair = KE::minmax_element(member, KE::cbegin(myRowView),
KE::cend(myRowView));
resultDist1 = KE::distance(KE::cbegin(myRowView), itPair.first);
resultDist2 = KE::distance(KE::cbegin(myRowView), itPair.second);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex, 0) = resultDist1;
m_distancesView(myRowIndex, 1) = resultDist2;
});
}
else if (m_apiPick == 1) {
auto itPair = KE::minmax_element(member, myRowView);
resultDist1 = KE::distance(KE::begin(myRowView), itPair.first);
resultDist2 = KE::distance(KE::begin(myRowView), itPair.second);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex, 0) = resultDist1;
m_distancesView(myRowIndex, 1) = resultDist2;
});
}
#ifndef KOKKOS_ENABLE_OPENMPTARGET
else if (m_apiPick == 2) {
using value_type = typename ViewType::value_type;
auto itPair =
KE::minmax_element(member, KE::cbegin(myRowView), KE::cend(myRowView),
CustomLessThanComparator<value_type>{});
resultDist1 = KE::distance(KE::cbegin(myRowView), itPair.first);
resultDist2 = KE::distance(KE::cbegin(myRowView), itPair.second);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex, 0) = resultDist1;
m_distancesView(myRowIndex, 1) = resultDist2;
});
}
else if (m_apiPick == 3) {
using value_type = typename ViewType::value_type;
auto itPair = KE::minmax_element(member, myRowView,
CustomLessThanComparator<value_type>{});
resultDist1 = KE::distance(KE::begin(myRowView), itPair.first);
resultDist2 = KE::distance(KE::begin(myRowView), itPair.second);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex, 0) = resultDist1;
m_distancesView(myRowIndex, 1) = resultDist2;
});
}
#endif
// store result of checking if all members have their local
// values matching the one stored in m_distancesView
member.team_barrier();
const bool intraTeamCheck1 = team_members_have_matching_result(
member, resultDist1, m_distancesView(myRowIndex, 0));
const bool intraTeamCheck2 = team_members_have_matching_result(
member, resultDist2, m_distancesView(myRowIndex, 1));
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_intraTeamSentinelView(myRowIndex) = intraTeamCheck1 && intraTeamCheck2;
});
}
};
template <class LayoutTag, class ValueType>
void test_A(std::size_t numTeams, std::size_t numCols, int apiId) {
/* description:
team-level KE::minmax_element on a rank-2 view where
data is filled randomly and we use one team per row.
*/
// -----------------------------------------------
// 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
auto [dataView, cloneOfDataViewBeforeOp_h] =
create_random_view_and_host_clone(
LayoutTag{}, numTeams, numCols,
Kokkos::pair<ValueType, ValueType>{0, 1153}, "dataView");
// -----------------------------------------------
// launch kokkos kernel
// -----------------------------------------------
using space_t = Kokkos::DefaultExecutionSpace;
Kokkos::TeamPolicy<space_t> policy(numTeams, Kokkos::AUTO());
// each team stores the distance of the returned value from the
// beginning of the interval that team operates on and then we check
// that these distances match the expectation
Kokkos::View<std::size_t**> distancesView("distancesView", numTeams, 2);
// sentinel to check if all members of the team compute the same result
Kokkos::View<bool*> intraTeamSentinelView("intraTeamSameResult", numTeams);
// use CTAD for functor
TestFunctorA fnc(dataView, distancesView, intraTeamSentinelView, 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);
auto dataViewAfterOp_h = create_host_space_copy(dataView);
for (std::size_t i = 0; i < cloneOfDataViewBeforeOp_h.extent(0); ++i) {
auto myRow = Kokkos::subview(cloneOfDataViewBeforeOp_h, i, Kokkos::ALL());
std::size_t stdDistance[2];
if (apiId <= 1) {
auto itPair = std::minmax_element(KE::cbegin(myRow), KE::cend(myRow));
stdDistance[0] = KE::distance(KE::cbegin(myRow), itPair.first);
stdDistance[1] = KE::distance(KE::cbegin(myRow), itPair.second);
} else {
auto itPair = std::minmax_element(KE::cbegin(myRow), KE::cend(myRow),
CustomLessThanComparator<value_type>{});
stdDistance[0] = KE::distance(KE::cbegin(myRow), itPair.first);
stdDistance[1] = KE::distance(KE::cbegin(myRow), itPair.second);
}
ASSERT_EQ(stdDistance[0], distancesView_h(i, 0));
ASSERT_EQ(stdDistance[1], distancesView_h(i, 1));
ASSERT_TRUE(intraTeamSentinelView_h(i));
}
// dataView should remain unchanged
expect_equal_host_views(cloneOfDataViewBeforeOp_h, dataViewAfterOp_h);
}
template <class LayoutTag, class ValueType>
void run_all_scenarios() {
for (int numTeams : teamSizesToTest) {
for (const auto& numCols : {0, 1, 2, 13, 101, 1444, 5113}) {
// for OpenMPTarget we need to avod api accepting a custom
// comparator because it is not supported
for (int apiId : {0, 1, 2, 3}) {
test_A<LayoutTag, ValueType>(numTeams, numCols, apiId);
}
}
}
}
TEST(std_algorithms_minmax_element_team_test, test) {
#ifndef KOKKOS_ENABLE_OPENMPTARGET
run_all_scenarios<DynamicTag, int>();
run_all_scenarios<StridedTwoRowsTag, double>();
run_all_scenarios<StridedThreeRowsTag, int>();
#endif
}
} // namespace TeamMinMaxElement
} // namespace stdalgos
} // namespace Test
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