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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>
namespace Test {
namespace stdalgos {
namespace TeamUniqueCopy {
namespace KE = Kokkos::Experimental;
template <class ValueType>
struct CustomPredicate {
KOKKOS_INLINE_FUNCTION
bool operator()(ValueType a, ValueType b) const { return a == b; }
};
template <class SourceViewType, class DestViewType, class DistancesViewType,
class IntraTeamSentinelView>
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 <class MemberType>
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;
if (m_apiPick == 0) {
auto it =
KE::unique_copy(member, KE::begin(myRowViewFrom),
KE::end(myRowViewFrom), KE::begin(myRowViewDest));
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::unique_copy(member, myRowViewFrom, myRowViewDest);
resultDist = KE::distance(KE::begin(myRowViewDest), it);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex) = resultDist;
});
} else if (m_apiPick == 2) {
using comparator_t =
CustomEqualityComparator<typename SourceViewType::value_type>;
auto it = KE::unique_copy(member, KE::begin(myRowViewFrom),
KE::end(myRowViewFrom),
KE::begin(myRowViewDest), comparator_t());
resultDist = KE::distance(KE::begin(myRowViewDest), it);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex) = resultDist;
});
} else if (m_apiPick == 3) {
using comparator_t =
CustomEqualityComparator<typename SourceViewType::value_type>;
auto it =
KE::unique_copy(member, myRowViewFrom, myRowViewDest, comparator_t());
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 <class LayoutTag, class ValueType>
void test_A(std::size_t numTeams, std::size_t numCols, int apiId) {
/* description:
team-level KE::unique_copy 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 [sourceView, cloneOfDataViewBeforeOp_h] =
create_random_view_and_host_clone(
LayoutTag{}, numTeams, numCols,
Kokkos::pair<ValueType, ValueType>{121, 153}, "sourceView");
// -----------------------------------------------
// launch kokkos kernel
// -----------------------------------------------
using space_t = Kokkos::DefaultExecutionSpace;
Kokkos::TeamPolicy<space_t> policy(numTeams, Kokkos::AUTO());
// create the destination view
Kokkos::View<ValueType**> destView("destView", numTeams, numCols);
// 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(sourceView, destView, distancesView, intraTeamSentinelView,
apiId);
Kokkos::parallel_for(policy, fnc);
// -----------------------------------------------
// run std algo and check
// -----------------------------------------------
auto distancesView_h = create_host_space_copy(distancesView);
auto intraTeamSentinelView_h = create_host_space_copy(intraTeamSentinelView);
Kokkos::View<ValueType**, Kokkos::HostSpace> stdDestView("stdDestView",
numTeams, numCols);
for (std::size_t i = 0; i < cloneOfDataViewBeforeOp_h.extent(0); ++i) {
ASSERT_TRUE(intraTeamSentinelView_h(i));
auto myRowFrom =
Kokkos::subview(cloneOfDataViewBeforeOp_h, i, Kokkos::ALL());
auto myRowDest = Kokkos::subview(stdDestView, i, Kokkos::ALL());
std::size_t stdDistance = 0;
if (apiId <= 1) {
auto it = std::unique_copy(KE::cbegin(myRowFrom), KE::cend(myRowFrom),
KE::begin(myRowDest));
stdDistance = KE::distance(KE::begin(myRowDest), it);
} else {
auto it = std::unique_copy(KE::cbegin(myRowFrom), KE::cend(myRowFrom),
KE::begin(myRowDest),
CustomEqualityComparator<value_type>{});
stdDistance = KE::distance(KE::begin(myRowDest), it);
}
ASSERT_EQ(stdDistance, distancesView_h(i));
}
auto destViewAfterOp_h = create_host_space_copy(destView);
expect_equal_host_views(stdDestView, destViewAfterOp_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_copy_team_test, test) {
run_all_scenarios<DynamicTag, int>();
run_all_scenarios<StridedTwoRowsTag, int>();
run_all_scenarios<StridedThreeRowsTag, int>();
}
} // namespace TeamUniqueCopy
} // namespace stdalgos
} // namespace Test
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