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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 TeamUniqueDefaultPredicate {
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,
const 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 resultDist = 0;
if (m_apiPick == 0) {
auto it = KE::unique(member, KE::begin(myRowView), 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::unique(member, myRowView);
resultDist = KE::distance(KE::begin(myRowView), it);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex) = resultDist;
});
} else if (m_apiPick == 2) {
using value_type = typename ViewType::value_type;
auto it = KE::unique(member, KE::begin(myRowView), KE::end(myRowView),
CustomEqualityComparator<value_type>{});
resultDist = KE::distance(KE::begin(myRowView), it);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex) = resultDist;
});
} else if (m_apiPick == 3) {
using value_type = typename ViewType::value_type;
auto it =
KE::unique(member, myRowView, CustomEqualityComparator<value_type>{});
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 <class LayoutTag, class ValueType>
void test_A(std::size_t numTeams, std::size_t numCols, int apiId) {
/* description:
team-level KE::unique on a rank-2 view where
data is filled randomly such that we have several subsets
of consecutive equal elements. 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
// values from a range that is tight enough that there is a high likelihood
// of having several consecutive subsets of equal elements
auto [dataView, cloneOfDataViewBeforeOp_h] =
create_random_view_and_host_clone(
LayoutTag{}, numTeams, numCols,
Kokkos::pair<ValueType, ValueType>{121, 153}, "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 iterator 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);
// 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);
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 = 0;
if (apiId <= 1) {
auto it = std::unique(KE::begin(myRow), KE::end(myRow));
stdDistance = KE::distance(KE::begin(myRow), it);
} else {
auto it = std::unique(KE::begin(myRow), KE::end(myRow),
CustomEqualityComparator<value_type>{});
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 <class LayoutTag, class ValueType>
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<LayoutTag, ValueType>(numTeams, numCols, apiId);
}
}
}
}
TEST(std_algorithms_unique_team_test, test_default_predicate) {
run_all_scenarios<DynamicTag, int>();
run_all_scenarios<StridedTwoRowsTag, int>();
run_all_scenarios<StridedThreeRowsTag, int>();
}
} // namespace TeamUniqueDefaultPredicate
} // namespace stdalgos
} // namespace Test
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