Update Kokkos library in LAMMPS to v3.2
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@ -111,10 +111,10 @@ struct RandomProperties {
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template <class GeneratorPool, class Scalar>
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struct test_random_functor {
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typedef typename GeneratorPool::generator_type rnd_type;
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using rnd_type = typename GeneratorPool::generator_type;
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typedef RandomProperties value_type;
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typedef typename GeneratorPool::device_type device_type;
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using value_type = RandomProperties;
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using device_type = typename GeneratorPool::device_type;
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GeneratorPool rand_pool;
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const double mean;
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@ -125,12 +125,12 @@ struct test_random_functor {
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// implementations might violate this upper bound, due to rounding
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// error. Just in case, we leave an extra space at the end of each
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// dimension, in the View types below.
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typedef Kokkos::View<int[HIST_DIM1D + 1], typename GeneratorPool::device_type>
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type_1d;
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using type_1d =
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Kokkos::View<int[HIST_DIM1D + 1], typename GeneratorPool::device_type>;
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type_1d density_1d;
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typedef Kokkos::View<int[HIST_DIM3D + 1][HIST_DIM3D + 1][HIST_DIM3D + 1],
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typename GeneratorPool::device_type>
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type_3d;
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using type_3d =
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Kokkos::View<int[HIST_DIM3D + 1][HIST_DIM3D + 1][HIST_DIM3D + 1],
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typename GeneratorPool::device_type>;
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type_3d density_3d;
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test_random_functor(GeneratorPool rand_pool_, type_1d d1d, type_3d d3d)
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@ -200,9 +200,9 @@ struct test_random_functor {
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template <class DeviceType>
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struct test_histogram1d_functor {
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typedef RandomProperties value_type;
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typedef typename DeviceType::execution_space execution_space;
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typedef typename DeviceType::memory_space memory_space;
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using value_type = RandomProperties;
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using execution_space = typename DeviceType::execution_space;
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using memory_space = typename DeviceType::memory_space;
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// NOTE (mfh 03 Nov 2014): Kokkos::rand::max() is supposed to define
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// an exclusive upper bound on the range of random numbers that
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@ -210,7 +210,7 @@ struct test_histogram1d_functor {
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// implementations might violate this upper bound, due to rounding
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// error. Just in case, we leave an extra space at the end of each
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// dimension, in the View type below.
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typedef Kokkos::View<int[HIST_DIM1D + 1], memory_space> type_1d;
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using type_1d = Kokkos::View<int[HIST_DIM1D + 1], memory_space>;
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type_1d density_1d;
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double mean;
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@ -219,7 +219,7 @@ struct test_histogram1d_functor {
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KOKKOS_INLINE_FUNCTION void operator()(
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const typename memory_space::size_type i, RandomProperties& prop) const {
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typedef typename memory_space::size_type size_type;
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using size_type = typename memory_space::size_type;
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const double count = density_1d(i);
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prop.mean += count;
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prop.variance += 1.0 * (count - mean) * (count - mean);
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@ -234,9 +234,9 @@ struct test_histogram1d_functor {
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template <class DeviceType>
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struct test_histogram3d_functor {
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typedef RandomProperties value_type;
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typedef typename DeviceType::execution_space execution_space;
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typedef typename DeviceType::memory_space memory_space;
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using value_type = RandomProperties;
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using execution_space = typename DeviceType::execution_space;
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using memory_space = typename DeviceType::memory_space;
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// NOTE (mfh 03 Nov 2014): Kokkos::rand::max() is supposed to define
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// an exclusive upper bound on the range of random numbers that
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@ -244,9 +244,9 @@ struct test_histogram3d_functor {
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// implementations might violate this upper bound, due to rounding
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// error. Just in case, we leave an extra space at the end of each
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// dimension, in the View type below.
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typedef Kokkos::View<int[HIST_DIM3D + 1][HIST_DIM3D + 1][HIST_DIM3D + 1],
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memory_space>
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type_3d;
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using type_3d =
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Kokkos::View<int[HIST_DIM3D + 1][HIST_DIM3D + 1][HIST_DIM3D + 1],
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memory_space>;
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type_3d density_3d;
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double mean;
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@ -255,7 +255,7 @@ struct test_histogram3d_functor {
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KOKKOS_INLINE_FUNCTION void operator()(
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const typename memory_space::size_type i, RandomProperties& prop) const {
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typedef typename memory_space::size_type size_type;
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using size_type = typename memory_space::size_type;
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const double count = density_3d(
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i / (HIST_DIM3D * HIST_DIM3D),
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(i % (HIST_DIM3D * HIST_DIM3D)) / HIST_DIM3D, i % HIST_DIM3D);
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@ -276,7 +276,7 @@ struct test_histogram3d_functor {
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//
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template <class RandomGenerator, class Scalar>
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struct test_random_scalar {
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typedef typename RandomGenerator::generator_type rnd_type;
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using rnd_type = typename RandomGenerator::generator_type;
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int pass_mean, pass_var, pass_covar;
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int pass_hist1d_mean, pass_hist1d_var, pass_hist1d_covar;
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@ -294,7 +294,7 @@ struct test_random_scalar {
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cout << " -- Testing randomness properties" << endl;
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RandomProperties result;
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typedef test_random_functor<RandomGenerator, Scalar> functor_type;
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using functor_type = test_random_functor<RandomGenerator, Scalar>;
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parallel_reduce(num_draws / 1024,
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functor_type(pool, density_1d, density_3d), result);
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@ -325,8 +325,8 @@ struct test_random_scalar {
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cout << " -- Testing 1-D histogram" << endl;
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RandomProperties result;
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typedef test_histogram1d_functor<typename RandomGenerator::device_type>
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functor_type;
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using functor_type =
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test_histogram1d_functor<typename RandomGenerator::device_type>;
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parallel_reduce(HIST_DIM1D, functor_type(density_1d, num_draws), result);
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double tolerance = 6 * std::sqrt(1.0 / HIST_DIM1D);
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@ -357,8 +357,8 @@ struct test_random_scalar {
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cout << " -- Testing 3-D histogram" << endl;
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RandomProperties result;
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typedef test_histogram3d_functor<typename RandomGenerator::device_type>
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functor_type;
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using functor_type =
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test_histogram3d_functor<typename RandomGenerator::device_type>;
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parallel_reduce(HIST_DIM1D, functor_type(density_3d, num_draws), result);
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double tolerance = 6 * std::sqrt(1.0 / HIST_DIM1D);
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