183 lines
6.5 KiB
C++
183 lines
6.5 KiB
C++
//@HEADER
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// ************************************************************************
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//
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// Kokkos v. 4.0
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// Copyright (2022) National Technology & Engineering
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// Solutions of Sandia, LLC (NTESS).
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//
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// Under the terms of Contract DE-NA0003525 with NTESS,
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// the U.S. Government retains certain rights in this software.
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//
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// Part of Kokkos, under the Apache License v2.0 with LLVM Exceptions.
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// See https://kokkos.org/LICENSE for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//@HEADER
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#include <TestStdAlgorithmsCommon.hpp>
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#include <algorithm>
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namespace Test {
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namespace stdalgos {
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namespace TeamRemove {
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namespace KE = Kokkos::Experimental;
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template <class ValueType>
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struct UnifDist;
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template <>
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struct UnifDist<int> {
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using dist_type = std::uniform_int_distribution<int>;
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std::mt19937 m_gen;
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dist_type m_dist;
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UnifDist(int b, std::size_t seedIn) : m_dist(0, b) { m_gen.seed(seedIn); }
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int operator()() { return m_dist(m_gen); }
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};
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template <class ViewType, class DistancesViewType, class IntraTeamSentinelView,
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class ValueType>
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struct TestFunctorA {
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ViewType m_view;
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ValueType m_targetValue;
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DistancesViewType m_distancesView;
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IntraTeamSentinelView m_intraTeamSentinelView;
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int m_apiPick;
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TestFunctorA(const ViewType view, ValueType oldVal,
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const DistancesViewType distancesView,
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const IntraTeamSentinelView intraTeamSentinelView, int apiPick)
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: m_view(view),
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m_targetValue(oldVal),
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m_distancesView(distancesView),
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m_intraTeamSentinelView(intraTeamSentinelView),
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m_apiPick(apiPick) {}
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template <class MemberType>
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KOKKOS_INLINE_FUNCTION void operator()(const MemberType& member) const {
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const auto myRowIndex = member.league_rank();
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auto myRowView = Kokkos::subview(m_view, myRowIndex, Kokkos::ALL());
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ptrdiff_t resultDist = 0;
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if (m_apiPick == 0) {
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auto it = KE::remove(member, KE::begin(myRowView), KE::end(myRowView),
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m_targetValue);
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resultDist = KE::distance(KE::begin(myRowView), it);
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_distancesView(myRowIndex) = resultDist;
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});
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} else if (m_apiPick == 1) {
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auto it = KE::remove(member, myRowView, m_targetValue);
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resultDist = KE::distance(KE::begin(myRowView), it);
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_distancesView(myRowIndex) = resultDist;
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});
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}
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// store result of checking if all members have their local
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// values matching the one stored in m_distancesView
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member.team_barrier();
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const bool intraTeamCheck = team_members_have_matching_result(
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member, resultDist, m_distancesView(myRowIndex));
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Kokkos::single(Kokkos::PerTeam(member), [=, *this]() {
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m_intraTeamSentinelView(myRowIndex) = intraTeamCheck;
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});
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}
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};
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template <class LayoutTag, class ValueType>
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void test_A(std::size_t numTeams, std::size_t numCols, int apiId) {
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/* description:
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set a random subset of each row of a rank-2 view
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to a target value and run a team-level KE::remove
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with one team per row to remove all those elements.
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*/
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const auto targetVal = static_cast<ValueType>(531);
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// -----------------------------------------------
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// prepare data
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// -----------------------------------------------
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// Create a view in the memory space associated with default exespace with as
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// many rows as the number of teams and fill it with random values from an
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// arbitrary range. Pick range so that some of the values are equal to target.
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auto [dataView, dataView_h] = create_random_view_and_host_clone(
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LayoutTag{}, numTeams, numCols,
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Kokkos::pair<ValueType, ValueType>{targetVal - 1, targetVal + 1},
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"dataView");
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// note that we need to count how many elements are equal
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// to targetVal because the dataView was origianlly filled
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// with random values
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std::vector<std::size_t> perRowRealCount(numTeams);
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for (std::size_t i = 0; i < dataView_h.extent(0); ++i) {
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std::size_t realCount = 0;
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for (std::size_t j = 0; j < dataView_h.extent(1); ++j) {
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if (dataView_h(i, j) == targetVal) {
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realCount++;
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}
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}
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perRowRealCount[i] = realCount;
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}
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// -----------------------------------------------
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// launch kokkos kernel
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// -----------------------------------------------
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using space_t = Kokkos::DefaultExecutionSpace;
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Kokkos::TeamPolicy<space_t> policy(numTeams, Kokkos::AUTO());
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// each team stores the distance of the returned iterator from the
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// beginning of the interval that team operates on and then we check
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// that these distances match the std result
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Kokkos::View<std::size_t*> distancesView("distancesView", numTeams);
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// sentinel to check if all members of the team compute the same result
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Kokkos::View<bool*> intraTeamSentinelView("intraTeamSameResult", numTeams);
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// use CTAD for functor
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TestFunctorA fnc(dataView, targetVal, distancesView, intraTeamSentinelView,
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apiId);
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Kokkos::parallel_for(policy, fnc);
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// -----------------------------------------------
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// check against std
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// -----------------------------------------------
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auto dataViewAfterOp_h = create_host_space_copy(dataView);
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auto distancesView_h = create_host_space_copy(distancesView);
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auto intraTeamSentinelView_h = create_host_space_copy(intraTeamSentinelView);
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for (std::size_t i = 0; i < dataViewAfterOp_h.extent(0); ++i) {
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auto myRow = Kokkos::subview(dataView_h, i, Kokkos::ALL());
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auto stdIt = std::remove(KE::begin(myRow), KE::end(myRow), targetVal);
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const std::size_t stdDistance = KE::distance(KE::begin(myRow), stdIt);
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ASSERT_EQ(distancesView_h(i), stdDistance);
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ASSERT_EQ(distancesView_h(i), numCols - perRowRealCount[i]);
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for (std::size_t j = 0; j < distancesView_h(i); ++j) {
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ASSERT_EQ(dataViewAfterOp_h(i, j), dataView_h(i, j));
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}
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ASSERT_TRUE(intraTeamSentinelView_h(i));
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}
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}
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template <class LayoutTag, class ValueType>
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void run_all_scenarios() {
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for (int numTeams : teamSizesToTest) {
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for (const auto& numCols : {0, 1, 2, 13, 101, 1444, 8113}) {
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for (int apiId : {0, 1}) {
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test_A<LayoutTag, ValueType>(numTeams, numCols, apiId);
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}
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}
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}
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}
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TEST(std_algorithms_remove_team_test, test) {
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run_all_scenarios<DynamicTag, double>();
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run_all_scenarios<StridedTwoRowsTag, int>();
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run_all_scenarios<StridedThreeRowsTag, unsigned>();
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}
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} // namespace TeamRemove
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} // namespace stdalgos
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} // namespace Test
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