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TestTeamMDRange.hpp
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TestTeamMDRange.hpp
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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 <Kokkos_Core.hpp>
namespace Test {
namespace TeamMDRange {
struct FillFlattenedIndex {
explicit FillFlattenedIndex(int n0, int n1, int n2, int n3 = 1, int n4 = 1,
int n5 = 1, int n6 = 1, int n7 = 1)
: initValue{n0, n1, n2, n3, n4, n5, n6, n7} {}
KOKKOS_INLINE_FUNCTION
int operator()(int n0, int n1, int n2, int n3 = 0, int n4 = 0, int n5 = 0,
int n6 = 0, int n7 = 0) const {
return ((((((n7 * initValue[7] + n6) * initValue[6] + n5) * initValue[5] +
n4) *
initValue[4] +
n3) *
initValue[3] +
n2) *
initValue[2] +
n1) *
initValue[1] +
n0;
}
int initValue[8];
};
struct TestTeamMDParallelFor {
using DataType = int64_t;
using DimsType = int[8];
template <typename HostViewType, typename FillFunctor>
static void check_result_3D(HostViewType h_view,
FillFunctor const& fillFunctor) {
for (size_t i = 0; i < h_view.extent(0); ++i) {
for (size_t j = 0; j < h_view.extent(1); ++j) {
for (size_t k = 0; k < h_view.extent(2); ++k) {
EXPECT_EQ(h_view(i, j, k), fillFunctor(i, j, k));
}
}
}
}
template <typename HostViewType, typename FillFunctor>
static void check_result_4D(HostViewType h_view, FillFunctor& fillFunctor) {
for (size_t i = 0; i < h_view.extent(0); ++i) {
for (size_t j = 0; j < h_view.extent(1); ++j) {
for (size_t k = 0; k < h_view.extent(2); ++k) {
for (size_t l = 0; l < h_view.extent(3); ++l) {
EXPECT_EQ(h_view(i, j, k, l), fillFunctor(i, j, k, l));
}
}
}
}
}
template <typename HostViewType, typename FillFunctor>
static void check_result_5D(HostViewType h_view, FillFunctor& fillFunctor) {
for (size_t i = 0; i < h_view.extent(0); ++i) {
for (size_t j = 0; j < h_view.extent(1); ++j) {
for (size_t k = 0; k < h_view.extent(2); ++k) {
for (size_t l = 0; l < h_view.extent(3); ++l) {
for (size_t m = 0; m < h_view.extent(4); ++m) {
EXPECT_EQ(h_view(i, j, k, l, m), fillFunctor(i, j, k, l, m));
}
}
}
}
}
}
template <typename HostViewType, typename FillFunctor>
static void check_result_6D(HostViewType h_view, FillFunctor& fillFunctor) {
for (size_t i = 0; i < h_view.extent(0); ++i) {
for (size_t j = 0; j < h_view.extent(1); ++j) {
for (size_t k = 0; k < h_view.extent(2); ++k) {
for (size_t l = 0; l < h_view.extent(3); ++l) {
for (size_t m = 0; m < h_view.extent(4); ++m) {
for (size_t n = 0; n < h_view.extent(5); ++n) {
EXPECT_EQ(h_view(i, j, k, l, m, n),
fillFunctor(i, j, k, l, m, n));
}
}
}
}
}
}
}
template <typename HostViewType, typename FillFunctor>
static void check_result_7D(HostViewType h_view, FillFunctor& fillFunctor) {
for (size_t i = 0; i < h_view.extent(0); ++i) {
for (size_t j = 0; j < h_view.extent(1); ++j) {
for (size_t k = 0; k < h_view.extent(2); ++k) {
for (size_t l = 0; l < h_view.extent(3); ++l) {
for (size_t m = 0; m < h_view.extent(4); ++m) {
for (size_t n = 0; n < h_view.extent(5); ++n) {
for (size_t o = 0; o < h_view.extent(6); ++o) {
EXPECT_EQ(h_view(i, j, k, l, m, n, o),
fillFunctor(i, j, k, l, m, n, o));
}
}
}
}
}
}
}
}
template <typename HostViewType, typename FillFunctor>
static void check_result_8D(HostViewType h_view, FillFunctor& fillFunctor) {
for (size_t i = 0; i < h_view.extent(0); ++i) {
for (size_t j = 0; j < h_view.extent(1); ++j) {
for (size_t k = 0; k < h_view.extent(2); ++k) {
for (size_t l = 0; l < h_view.extent(3); ++l) {
for (size_t m = 0; m < h_view.extent(4); ++m) {
for (size_t n = 0; n < h_view.extent(5); ++n) {
for (size_t o = 0; o < h_view.extent(6); ++o) {
for (size_t p = 0; p < h_view.extent(7); ++p) {
EXPECT_EQ(h_view(i, j, k, l, m, n, o, p),
fillFunctor(i, j, k, l, m, n, o, p));
}
}
}
}
}
}
}
}
}
};
// If KOKKOS_ENABLE_CUDA_LAMBDA is off, extended lambdas used in parallel_for
// and parallel_reduce in these tests will not compile correctly
#if !defined(KOKKOS_ENABLE_CUDA) || defined(KOKKOS_ENABLE_CUDA_LAMBDA)
template <typename ExecSpace>
struct TestTeamThreadMDRangeParallelFor : public TestTeamMDParallelFor {
using TeamType = typename Kokkos::TeamPolicy<ExecSpace>::member_type;
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_3D_TeamThreadMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType***, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
ViewType v("v", leagueSize, n0, n1);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamThreadMDRange<Kokkos::Rank<2, Direction>, TeamType>(
team, n0, n1);
Kokkos::parallel_for(teamRange, [=](int i, int j) {
v(leagueRank, i, j) += fillFlattenedIndex(leagueRank, i, j);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_3D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_4D_TeamThreadMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType****, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
ViewType v("v", leagueSize, n0, n1, n2);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamThreadMDRange<Kokkos::Rank<3, Direction>, TeamType>(
team, n0, n1, n2);
Kokkos::parallel_for(teamRange, [=](int i, int j, int k) {
v(leagueRank, i, j, k) += fillFlattenedIndex(leagueRank, i, j, k);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_4D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_5D_TeamThreadMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType*****, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
ViewType v("v", leagueSize, n0, n1, n2, n3);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamThreadMDRange<Kokkos::Rank<4, Direction>, TeamType>(
team, n0, n1, n2, n3);
Kokkos::parallel_for(teamRange, [=](int i, int j, int k, int l) {
v(leagueRank, i, j, k, l) +=
fillFlattenedIndex(leagueRank, i, j, k, l);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_5D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_6D_TeamThreadMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType******, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
int n4 = dims[5];
ViewType v("v", leagueSize, n0, n1, n2, n3, n4);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3, n4);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamThreadMDRange<Kokkos::Rank<5, Direction>, TeamType>(
team, n0, n1, n2, n3, n4);
Kokkos::parallel_for(
teamRange, [=](int i, int j, int k, int l, int m) {
v(leagueRank, i, j, k, l, m) +=
fillFlattenedIndex(leagueRank, i, j, k, l, m);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_6D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_7D_TeamThreadMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType*******, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
int n4 = dims[5];
int n5 = dims[6];
ViewType v("v", leagueSize, n0, n1, n2, n3, n4, n5);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3, n4, n5);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamThreadMDRange<Kokkos::Rank<6, Direction>, TeamType>(
team, n0, n1, n2, n3, n4, n5);
Kokkos::parallel_for(
teamRange, [=](int i, int j, int k, int l, int m, int n) {
v(leagueRank, i, j, k, l, m, n) +=
fillFlattenedIndex(leagueRank, i, j, k, l, m, n);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_7D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_8D_TeamThreadMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType********, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
int n4 = dims[5];
int n5 = dims[6];
int n6 = dims[7];
ViewType v("v", leagueSize, n0, n1, n2, n3, n4, n5, n6);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3, n4, n5,
n6);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamThreadMDRange<Kokkos::Rank<7, Direction>, TeamType>(
team, n0, n1, n2, n3, n4, n5, n6);
Kokkos::parallel_for(
teamRange, [=](int i, int j, int k, int l, int m, int n, int o) {
v(leagueRank, i, j, k, l, m, n, o) +=
fillFlattenedIndex(leagueRank, i, j, k, l, m, n, o);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_8D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_single_direction_test(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType***, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int n0 = dims[0];
int n1 = dims[1];
int n2 = dims[2];
ViewType v("v", n0, n1, n2);
FillFlattenedIndex fillFlattenedIndex(n0, n1, n2);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(1, Kokkos::AUTO),
KOKKOS_LAMBDA(const TeamType& team) {
auto teamRange =
Kokkos::TeamThreadMDRange<Kokkos::Rank<3, Direction>, TeamType>(
team, n0, n1, n2);
Kokkos::parallel_for(teamRange, [=](int i, int j, int k) {
v(i, j, k) += fillFlattenedIndex(i, j, k);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_3D(h_view, fillFlattenedIndex);
}
};
template <typename ExecSpace>
struct TestThreadVectorMDRangeParallelFor : public TestTeamMDParallelFor {
using TeamType = typename Kokkos::TeamPolicy<ExecSpace>::member_type;
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_4D_ThreadVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType****, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
ViewType v("v", leagueSize, n0, n1, n2);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamThreadRange = Kokkos::TeamThreadRange(team, n0);
auto teamRange =
Kokkos::ThreadVectorMDRange<Kokkos::Rank<2, Direction>, TeamType>(
team, n1, n2);
Kokkos::parallel_for(teamThreadRange, [=](int i) {
Kokkos::parallel_for(teamRange, [=](int j, int k) {
v(leagueRank, i, j, k) += fillFlattenedIndex(leagueRank, i, j, k);
});
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_4D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_5D_ThreadVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType*****, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
ViewType v("v", leagueSize, n0, n1, n2, n3);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamThreadRange = Kokkos::TeamThreadRange(team, n0);
auto teamRange =
Kokkos::ThreadVectorMDRange<Kokkos::Rank<3, Direction>, TeamType>(
team, n1, n2, n3);
Kokkos::parallel_for(teamThreadRange, [=](int i) {
Kokkos::parallel_for(teamRange, [=](int j, int k, int l) {
v(leagueRank, i, j, k, l) +=
fillFlattenedIndex(leagueRank, i, j, k, l);
});
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_5D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_6D_ThreadVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType******, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
int n4 = dims[5];
ViewType v("v", leagueSize, n0, n1, n2, n3, n4);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3, n4);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamThreadRange = Kokkos::TeamThreadRange(team, n0);
auto teamRange =
Kokkos::ThreadVectorMDRange<Kokkos::Rank<4, Direction>, TeamType>(
team, n1, n2, n3, n4);
Kokkos::parallel_for(teamThreadRange, [=](int i) {
Kokkos::parallel_for(teamRange, [=](int j, int k, int l, int m) {
v(leagueRank, i, j, k, l, m) +=
fillFlattenedIndex(leagueRank, i, j, k, l, m);
});
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_6D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_7D_ThreadVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType*******, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
int n4 = dims[5];
int n5 = dims[6];
ViewType v("v", leagueSize, n0, n1, n2, n3, n4, n5);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3, n4, n5);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamThreadRange = Kokkos::TeamThreadRange(team, n0);
auto teamRange =
Kokkos::ThreadVectorMDRange<Kokkos::Rank<5, Direction>, TeamType>(
team, n1, n2, n3, n4, n5);
Kokkos::parallel_for(teamThreadRange, [=](int i) {
Kokkos::parallel_for(
teamRange, [=](int j, int k, int l, int m, int n) {
v(leagueRank, i, j, k, l, m, n) +=
fillFlattenedIndex(leagueRank, i, j, k, l, m, n);
});
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_7D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_8D_ThreadVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType********, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
int n4 = dims[5];
int n5 = dims[6];
int n6 = dims[7];
ViewType v("v", leagueSize, n0, n1, n2, n3, n4, n5, n6);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3, n4, n5,
n6);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamThreadRange = Kokkos::TeamThreadRange(team, n0);
auto teamRange =
Kokkos::ThreadVectorMDRange<Kokkos::Rank<6, Direction>, TeamType>(
team, n1, n2, n3, n4, n5, n6);
Kokkos::parallel_for(teamThreadRange, [=](int i) {
Kokkos::parallel_for(
teamRange, [=](int j, int k, int l, int m, int n, int o) {
v(leagueRank, i, j, k, l, m, n, o) +=
fillFlattenedIndex(leagueRank, i, j, k, l, m, n, o);
});
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_8D(h_view, fillFlattenedIndex);
}
};
template <typename ExecSpace>
struct TestTeamVectorMDRangeParallelFor : public TestTeamMDParallelFor {
using TeamType = typename Kokkos::TeamPolicy<ExecSpace>::member_type;
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_3D_TeamVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType***, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
ViewType v("v", leagueSize, n0, n1);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamVectorMDRange<Kokkos::Rank<2, Direction>, TeamType>(
team, n0, n1);
Kokkos::parallel_for(teamRange, [=](int i, int j) {
v(leagueRank, i, j) += fillFlattenedIndex(leagueRank, i, j);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_3D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_4D_TeamVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType****, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
ViewType v("v", leagueSize, n0, n1, n2);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamVectorMDRange<Kokkos::Rank<3, Direction>, TeamType>(
team, n0, n1, n2);
Kokkos::parallel_for(teamRange, [=](int i, int j, int k) {
v(leagueRank, i, j, k) += fillFlattenedIndex(leagueRank, i, j, k);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_4D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_5D_TeamVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType*****, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
ViewType v("v", leagueSize, n0, n1, n2, n3);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamVectorMDRange<Kokkos::Rank<4, Direction>, TeamType>(
team, n0, n1, n2, n3);
Kokkos::parallel_for(teamRange, [=](int i, int j, int k, int l) {
v(leagueRank, i, j, k, l) +=
fillFlattenedIndex(leagueRank, i, j, k, l);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_5D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_6D_TeamVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType******, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
int n4 = dims[5];
ViewType v("v", leagueSize, n0, n1, n2, n3, n4);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3, n4);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamVectorMDRange<Kokkos::Rank<5, Direction>, TeamType>(
team, n0, n1, n2, n3, n4);
Kokkos::parallel_for(
teamRange, [=](int i, int j, int k, int l, int m) {
v(leagueRank, i, j, k, l, m) +=
fillFlattenedIndex(leagueRank, i, j, k, l, m);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_6D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_7D_TeamVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType*******, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
int n4 = dims[5];
int n5 = dims[6];
ViewType v("v", leagueSize, n0, n1, n2, n3, n4, n5);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3, n4, n5);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamVectorMDRange<Kokkos::Rank<6, Direction>, TeamType>(
team, n0, n1, n2, n3, n4, n5);
Kokkos::parallel_for(
teamRange, [=](int i, int j, int k, int l, int m, int n) {
v(leagueRank, i, j, k, l, m, n) +=
fillFlattenedIndex(leagueRank, i, j, k, l, m, n);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_7D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_for_8D_TeamVectorMDRange(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType********, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int leagueSize = dims[0];
int n0 = dims[1];
int n1 = dims[2];
int n2 = dims[3];
int n3 = dims[4];
int n4 = dims[5];
int n5 = dims[6];
int n6 = dims[7];
ViewType v("v", leagueSize, n0, n1, n2, n3, n4, n5, n6);
FillFlattenedIndex fillFlattenedIndex(leagueSize, n0, n1, n2, n3, n4, n5,
n6);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(leagueSize, Kokkos::AUTO,
#ifdef KOKKOS_ENABLE_OPENMPTARGET
2
#else
Kokkos::TeamPolicy<
ExecSpace>::vector_length_max()
#endif
),
KOKKOS_LAMBDA(const TeamType& team) {
int leagueRank = team.league_rank();
auto teamRange =
Kokkos::TeamVectorMDRange<Kokkos::Rank<7, Direction>, TeamType>(
team, n0, n1, n2, n3, n4, n5, n6);
Kokkos::parallel_for(
teamRange, [=](int i, int j, int k, int l, int m, int n, int o) {
v(leagueRank, i, j, k, l, m, n, o) +=
fillFlattenedIndex(leagueRank, i, j, k, l, m, n, o);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_8D(h_view, fillFlattenedIndex);
}
template <Kokkos::Iterate Direction = Kokkos::Iterate::Default>
static void test_parallel_double_direction_test(DimsType const& dims) {
using ViewType = typename Kokkos::View<DataType****, ExecSpace>;
using HostViewType = typename ViewType::HostMirror;
int n0 = dims[0];
int n1 = dims[1];
int n2 = dims[2];
int n3 = dims[3];
ViewType v("v", n0, n1, n2, n3);
FillFlattenedIndex fillFlattenedIndex(n0, n1, n2, n3);
Kokkos::parallel_for(
Kokkos::TeamPolicy<ExecSpace>(1, Kokkos::AUTO),
KOKKOS_LAMBDA(const TeamType& team) {
auto teamRange =
Kokkos::TeamVectorMDRange<Kokkos::Rank<4, Direction>, TeamType>(
team, n0, n1, n2, n3);
Kokkos::parallel_for(teamRange, [=](int i, int j, int k, int l) {
v(i, j, k, l) += fillFlattenedIndex(i, j, k, l);
});
});
HostViewType h_view = Kokkos::create_mirror_view_and_copy(
typename HostViewType::traits::memory_space(), v);
check_result_4D(h_view, fillFlattenedIndex);
}
};
struct TestTeamMDParallelReduce {
using DataType = int64_t;
using DimsType = int[8];
template <typename F>
constexpr static DataType get_expected_partial_sum(DimsType const& dims,
size_t maxRank, F const& f,
DimsType& indices,
size_t rank) {
if (rank == maxRank) {
return f(indices[0], indices[1], indices[2], indices[3], indices[4],
indices[5], indices[6], indices[7]);
}
auto& index = indices[rank];
DataType accValue = 0;
for (index = 0; index < dims[rank]; ++index) {
accValue += get_expected_partial_sum(dims, maxRank, f, indices, rank + 1);
}
return accValue;
}
template <typename F>
static DataType get_expected_sum(DimsType const& dims, size_t maxRank,