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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 TeamIsSortedUntil {
namespace KE = Kokkos::Experimental;
template <class ValueType>
struct UnifDist;
template <>
struct UnifDist<int> {
using dist_type = std::uniform_int_distribution<int>;
std::mt19937 m_gen;
dist_type m_dist;
UnifDist(int a, int b, std::size_t seedIn) : m_dist(a, b) {
m_gen.seed(seedIn);
}
int operator()() { return m_dist(m_gen); }
};
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 leagueRank = member.league_rank();
const auto myRowIndex = leagueRank;
auto myRowView = Kokkos::subview(m_view, myRowIndex, Kokkos::ALL());
ptrdiff_t resultDist = 0;
if (m_apiPick == 0) {
auto it = KE::is_sorted_until(member, KE::cbegin(myRowView),
KE::cend(myRowView));
resultDist = KE::distance(KE::cbegin(myRowView), it);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex) = resultDist;
});
} else if (m_apiPick == 1) {
auto it = KE::is_sorted_until(member, myRowView);
resultDist = KE::distance(KE::begin(myRowView), it);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex) = resultDist;
});
}
#ifndef KOKKOS_ENABLE_OPENMPTARGET
else if (m_apiPick == 2) {
using value_type = typename ViewType::value_type;
auto it = KE::is_sorted_until(member, KE::cbegin(myRowView),
KE::cend(myRowView),
CustomLessThanComparator<value_type>{});
resultDist = KE::distance(KE::cbegin(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::is_sorted_until(member, myRowView,
CustomLessThanComparator<value_type>{});
resultDist = KE::distance(KE::begin(myRowView), it);
Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
m_distancesView(myRowIndex) = resultDist;
});
}
#endif
// 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,
const std::string& sIn) {
/* description:
use a rank-2 view and run a team-level is_sorted_until
for various trivial and non trivial scenarios
*/
// -----------------------------------------------
// prepare data
// -----------------------------------------------
// construct in memory space associated with default exespace
auto dataView =
create_view<ValueType>(LayoutTag{}, numTeams, numCols, "dataView");
// dataView might not deep copyable (e.g. strided layout) so to
// randomize it, we make a new view that is for sure deep copyable,
// modify it on the host, deep copy to device and then launch
// a kernel to copy to dataView
auto dataView_dc =
create_deep_copyable_compatible_view_with_same_extent(dataView);
auto dataView_dc_h = create_mirror_view(Kokkos::HostSpace(), dataView_dc);
if (sIn == "trivialEmpty" || sIn == "trivialOneElement") {
// do not do anything
}
else if (sIn == "nontrivialUntilLast") {
for (std::size_t i = 0; i < dataView_dc_h.extent(0); ++i) {
for (std::size_t j = 0; j < dataView_dc_h.extent(1); ++j) {
dataView_dc_h(i, j) = ValueType(j);
}
}
}
else if (sIn == "nontrivialRandom") {
// randomly fill the view
Kokkos::Random_XorShift64_Pool<Kokkos::DefaultHostExecutionSpace> pool(
452377);
// make the range tight so that we have low likelihood of having
// sorted data by chance for small num of cols
Kokkos::fill_random(dataView_dc_h, pool, ValueType(113), ValueType(120));
/* pick randomly a location 0 < a < numCols-1/2
annd fill data so that:
- from 0 to a: is sorted
- from a to a+3: not sorted
- from a+3 to numCols-1: is sorted
this allows us to exercise that the algorithm returns
the larest sorted interval starting from 0
*/
KOKKOS_ASSERT(numCols > 10);
const std::size_t midPoint = numCols / 2;
UnifDist<int> randPoolA(0, midPoint, 3432779);
for (std::size_t i = 0; i < dataView_dc_h.extent(0); ++i) {
const std::size_t a = randPoolA();
for (std::size_t j = 0; j < a; ++j) {
dataView_dc_h(i, j) = ValueType(j);
}
for (std::size_t j = a + 3; j < numCols; ++j) {
dataView_dc_h(i, j) = ValueType(j);
}
}
}
// copy to dataView_dc and then to dataView
Kokkos::deep_copy(dataView_dc, dataView_dc_h);
// use CTAD
CopyFunctorRank2 F1(dataView_dc, dataView);
Kokkos::parallel_for("copy", dataView.extent(0) * dataView.extent(1), F1);
// -----------------------------------------------
// 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 std result
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);
// -----------------------------------------------
// check
// -----------------------------------------------
auto distancesView_h = create_host_space_copy(distancesView);
auto intraTeamSentinelView_h = create_host_space_copy(intraTeamSentinelView);
for (std::size_t i = 0; i < dataView_dc_h.extent(0); ++i) {
auto myRow = Kokkos::subview(dataView_dc_h, i, Kokkos::ALL());
std::size_t stdDistance = 0;
if (apiId <= 1) {
auto it = std::is_sorted_until(KE::cbegin(myRow), KE::cend(myRow));
stdDistance = KE::distance(KE::cbegin(myRow), it);
} else {
auto it = std::is_sorted_until(KE::cbegin(myRow), KE::cend(myRow),
CustomLessThanComparator<ValueType>{});
stdDistance = KE::distance(KE::cbegin(myRow), it);
}
ASSERT_EQ(stdDistance, distancesView_h(i));
ASSERT_TRUE(intraTeamSentinelView_h(i));
}
// dataView should remain unchanged
auto dataViewAfterOp_h = create_host_space_copy(dataView);
expect_equal_host_views(dataView_dc_h, dataViewAfterOp_h);
}
template <class LayoutTag, class ValueType>
void run_all_scenarios(const std::string& name, const std::vector<int>& cols) {
for (int numTeams : teamSizesToTest) {
for (const auto& numCols : cols) {
#ifndef KOKKOS_ENABLE_OPENMPTARGET
for (int apiId : {0, 1, 2, 3}) {
#else
for (int apiId : {0, 1}) {
#endif
test_A<LayoutTag, ValueType>(numTeams, numCols, apiId, name);
}
}
}
}
TEST(std_algorithms_is_sorted_until_team_test, test_trivialA) {
const std::string name = "trivialEmpty";
const std::vector<int> cols = {0};
run_all_scenarios<DynamicTag, double>(name, cols);
run_all_scenarios<StridedTwoRowsTag, double>(name, cols);
run_all_scenarios<StridedThreeRowsTag, int>(name, cols);
}
TEST(std_algorithms_is_sorted_until_team_test, test_trivialB) {
const std::string name = "trivialOneElement";
const std::vector<int> cols = {1};
run_all_scenarios<DynamicTag, double>(name, cols);
run_all_scenarios<StridedTwoRowsTag, double>(name, cols);
run_all_scenarios<StridedThreeRowsTag, int>(name, cols);
}
TEST(std_algorithms_is_sorted_until_team_test, test_nontrivialA) {
#ifdef KOKKOS_ENABLE_OPENMPTARGET // FIXME_OPENMPTARGET Failing with clang 17
GTEST_SKIP() << "Known to fail with OpenMPTarget and clang 17";
#endif
const std::string name = "nontrivialUntilLast";
const std::vector<int> cols = {13, 101, 1444, 5153};
run_all_scenarios<DynamicTag, double>(name, cols);
run_all_scenarios<StridedTwoRowsTag, double>(name, cols);
run_all_scenarios<StridedThreeRowsTag, int>(name, cols);
}
TEST(std_algorithms_is_sorted_until_team_test, test_nontrivialB) {
#ifdef KOKKOS_ENABLE_OPENMPTARGET // FIXME_OPENMPTARGET Failing with clang 17
GTEST_SKIP() << "Known to fail with OpenMPTarget and clang 17";
#endif
const std::string name = "nontrivialRandom";
const std::vector<int> cols = {13, 101, 1444, 5153};
run_all_scenarios<DynamicTag, double>(name, cols);
run_all_scenarios<StridedTwoRowsTag, double>(name, cols);
run_all_scenarios<StridedThreeRowsTag, int>(name, cols);
}
} // namespace TeamIsSortedUntil
} // namespace stdalgos
} // namespace Test
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