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lammps/lib/kokkos/core/unit_test/TestExecSpacePartitioning.hpp
2021-11-04 12:45:59 -06:00

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/*
//@HEADER
// ************************************************************************
//
// Kokkos v. 3.0
// Copyright (2020) 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.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY NTESS "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NTESS OR THE
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
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*/
#include <cstdio>
#include <stdexcept>
#include <sstream>
#include <iostream>
#include <Kokkos_Core.hpp>
namespace Test {
namespace {
struct SumFunctor {
KOKKOS_INLINE_FUNCTION
void operator()(int i, int& lsum) const { lsum += i; }
};
template <class ExecSpace>
void check_distinctive(ExecSpace, ExecSpace) {}
#ifdef KOKKOS_ENABLE_CUDA
void check_distinctive(Kokkos::Cuda exec1, Kokkos::Cuda exec2) {
ASSERT_NE(exec1.cuda_stream(), exec2.cuda_stream());
}
#endif
#ifdef KOKKOS_ENABLE_HIP
void check_distinctive(Kokkos::Experimental::HIP exec1,
Kokkos::Experimental::HIP exec2) {
ASSERT_NE(exec1.hip_stream(), exec2.hip_stream());
}
#endif
#ifdef KOKKOS_ENABLE_SYCL
void check_distinctive(Kokkos::Experimental::SYCL exec1,
Kokkos::Experimental::SYCL exec2) {
ASSERT_NE(*exec1.impl_internal_space_instance()->m_queue,
*exec2.impl_internal_space_instance()->m_queue);
}
#endif
} // namespace
void test_partitioning(std::vector<TEST_EXECSPACE>& instances) {
check_distinctive(instances[0], instances[1]);
int sum1, sum2;
int N = 3910;
Kokkos::parallel_reduce(
Kokkos::RangePolicy<TEST_EXECSPACE>(instances[0], 0, N), SumFunctor(),
sum1);
Kokkos::parallel_reduce(
Kokkos::RangePolicy<TEST_EXECSPACE>(instances[1], 0, N), SumFunctor(),
sum2);
ASSERT_EQ(sum1, sum2);
ASSERT_EQ(sum1, N * (N - 1) / 2);
#if defined(KOKKOS_ENABLE_CUDA) || defined(KOKKOS_ENABLE_HIP) || \
defined(KOKKOS_ENABLE_SYCL)
// Eliminate unused function warning
// (i.e. when compiling for Serial and CUDA, during Serial compilation the
// Cuda overload is unused ...)
if (sum1 != sum2) {
#ifdef KOKKOS_ENABLE_CUDA
check_distinctive(Kokkos::Cuda(), Kokkos::Cuda());
#endif
#ifdef KOKKOS_ENABLE_HIP
check_distinctive(Kokkos::Experimental::HIP(), Kokkos::Experimental::HIP());
#endif
#ifdef KOKKOS_ENABLE_SYCL
check_distinctive(Kokkos::Experimental::SYCL(),
Kokkos::Experimental::SYCL());
#endif
}
#endif
}
TEST(TEST_CATEGORY, partitioning_by_args) {
auto instances =
Kokkos::Experimental::partition_space(TEST_EXECSPACE(), 1, 1.);
ASSERT_EQ(int(instances.size()), 2);
test_partitioning(instances);
}
TEST(TEST_CATEGORY, partitioning_by_vector) {
std::vector<int> weights{1, 1};
auto instances =
Kokkos::Experimental::partition_space(TEST_EXECSPACE(), weights);
ASSERT_EQ(int(instances.size()), 2);
test_partitioning(instances);
}
} // namespace Test