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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 TeamGenerate_n {
namespace KE = Kokkos::Experimental;
template <class ValueType>
struct GenerateFunctor {
KOKKOS_INLINE_FUNCTION
ValueType operator()() const { return static_cast<ValueType>(23); }
};
template <class ViewType, class DistancesViewType, class IntraTeamSentinelView>
struct TestFunctorA {
ViewType m_view;
DistancesViewType m_distancesView;
IntraTeamSentinelView m_intraTeamSentinelView;
std::size_t m_count;
int m_apiPick;
TestFunctorA(const ViewType view, const DistancesViewType distancesView,
const IntraTeamSentinelView intraTeamSentinelView,
std::size_t count, int apiPick)
: m_view(view),
m_distancesView(distancesView),
m_intraTeamSentinelView(intraTeamSentinelView),
m_count(count),
m_apiPick(apiPick) {}
template <class MemberType>
KOKKOS_INLINE_FUNCTION void operator()(const MemberType& member) const {
const auto leagueRank = member.league_rank();
const auto myRowIndex = leagueRank;
auto myRowView = Kokkos::subview(m_view, myRowIndex, Kokkos::ALL());
ptrdiff_t resultDist = 0;
using value_type = typename ViewType::value_type;
if (m_apiPick == 0) {
auto it = KE::generate_n(member, KE::begin(myRowView), m_count,
GenerateFunctor<value_type>());
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::generate_n(member, myRowView, m_count,
GenerateFunctor<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, std::size_t count,
int apiId) {
// -----------------------------------------------
// 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 an arbitrary range. Pick range so that it does NOT
// contain the value produced by the generator (see top of file)
// otherwise test check below is ill-posed
auto [dataView, cloneOfDataViewBeforeOp_h] =
create_random_view_and_host_clone(
LayoutTag{}, numTeams, numCols,
Kokkos::pair<ValueType, ValueType>{105, 523}, "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 expected value
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, count,
apiId);
Kokkos::parallel_for(policy, fnc);
// -----------------------------------------------
// check
// -----------------------------------------------
auto dataViewAfterOp_h = create_host_space_copy(dataView);
auto distancesView_h = create_host_space_copy(distancesView);
auto intraTeamSentinelView_h = create_host_space_copy(intraTeamSentinelView);
for (std::size_t i = 0; i < dataView.extent(0); ++i) {
// check that values match what we expect
for (std::size_t j = 0; j < count; ++j) {
ASSERT_EQ(dataViewAfterOp_h(i, j), static_cast<ValueType>(23));
EXPECT_TRUE(dataViewAfterOp_h(i, j) != cloneOfDataViewBeforeOp_h(i, j));
}
// all other elements should be unchanged from before op
for (std::size_t j = count; j < numCols; ++j) {
ASSERT_EQ(dataViewAfterOp_h(i, j), cloneOfDataViewBeforeOp_h(i, j));
}
// check that returned iterators are correct
if (count > 0) {
ASSERT_EQ(distancesView_h(i), std::size_t(count));
} else {
ASSERT_EQ(distancesView_h(i), std::size_t(0));
}
ASSERT_TRUE(intraTeamSentinelView_h(i));
}
}
template <class Tag, class ValueType>
void run_all_scenarios() {
// prepare a map where, for a given set of num cols
// we provide a list of counts of elements to generate
// key = num of columns
// value = list of num of elemenents to generate
const std::map<int, std::vector<int>> scenarios = {
{0, {0}},
{2, {0, 1, 2}},
{6, {0, 1, 2, 5}},
{13, {0, 1, 2, 8, 11}},
{56, {0, 1, 2, 8, 11, 33, 56}},
{123, {0, 1, 11, 33, 56, 89, 112}}};
for (int numTeams : teamSizesToTest) {
for (const auto& scenario : scenarios) {
const std::size_t numCols = scenario.first;
for (int countToGenerate : scenario.second) {
for (int apiId : {0, 1}) {
test_A<Tag, ValueType>(numTeams, numCols, countToGenerate, apiId);
}
}
}
}
}
TEST(std_algorithms_generate_n_team_test, test) {
run_all_scenarios<DynamicTag, double>();
run_all_scenarios<StridedTwoRowsTag, int>();
run_all_scenarios<StridedThreeRowsTag, unsigned>();
}
} // namespace TeamGenerate_n
} // namespace stdalgos
} // namespace Test
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