313 lines
10 KiB
C++
313 lines
10 KiB
C++
/*
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//@HEADER
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// ************************************************************************
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//
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// Kokkos v. 3.0
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// Copyright (2020) 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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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are
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// met:
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//
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// 1. Redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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//
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// 2. Redistributions in binary form must reproduce the above copyright
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// notice, this list of conditions and the following disclaimer in the
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// documentation and/or other materials provided with the distribution.
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//
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// 3. Neither the name of the Corporation nor the names of the
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// contributors may be used to endorse or promote products derived from
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// this software without specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY NTESS "AS IS" AND ANY
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// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NTESS OR THE
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// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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//
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// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
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//
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// ************************************************************************
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//@HEADER
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*/
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#include <TestStdAlgorithmsCommon.hpp>
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#include <utility>
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namespace Test {
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namespace stdalgos {
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namespace TransformEScan {
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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<double> {
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using dist_type = std::uniform_real_distribution<double>;
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std::mt19937 m_gen;
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dist_type m_dist;
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UnifDist() : m_dist(0.05, 1.2) { m_gen.seed(1034343); }
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double operator()() { return m_dist(m_gen); }
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};
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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() : m_dist(1, 3) { m_gen.seed(1034343); }
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int operator()() { return m_dist(m_gen); }
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};
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template <class ViewType>
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void fill_zero(ViewType view) {
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Kokkos::parallel_for(view.extent(0), FillZeroFunctor<ViewType>(view));
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}
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template <class ViewType>
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void fill_view(ViewType dest_view, const std::string& name) {
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using value_type = typename ViewType::value_type;
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using exe_space = typename ViewType::execution_space;
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const std::size_t ext = dest_view.extent(0);
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using aux_view_t = Kokkos::View<value_type*, exe_space>;
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aux_view_t aux_view("aux_view", ext);
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auto v_h = create_mirror_view(Kokkos::HostSpace(), aux_view);
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UnifDist<value_type> randObj;
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if (name == "empty") {
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// no op
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}
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else if (name == "one-element") {
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assert(v_h.extent(0) == 1);
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v_h(0) = static_cast<value_type>(1);
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}
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else if (name == "two-elements-a") {
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assert(v_h.extent(0) == 2);
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v_h(0) = static_cast<value_type>(1);
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v_h(1) = static_cast<value_type>(2);
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}
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else if (name == "two-elements-b") {
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assert(v_h.extent(0) == 2);
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v_h(0) = static_cast<value_type>(2);
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v_h(1) = static_cast<value_type>(-1);
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}
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else if (name == "small-a") {
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assert(v_h.extent(0) == 9);
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v_h(0) = static_cast<value_type>(3);
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v_h(1) = static_cast<value_type>(1);
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v_h(2) = static_cast<value_type>(4);
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v_h(3) = static_cast<value_type>(1);
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v_h(4) = static_cast<value_type>(5);
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v_h(5) = static_cast<value_type>(9);
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v_h(6) = static_cast<value_type>(2);
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v_h(7) = static_cast<value_type>(6);
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v_h(8) = static_cast<value_type>(2);
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}
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else if (name == "small-b") {
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assert(v_h.extent(0) >= 6);
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for (std::size_t i = 0; i < ext; ++i) {
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v_h(i) = randObj();
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}
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v_h(5) = static_cast<value_type>(-2);
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}
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else if (name == "medium" || name == "large") {
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for (std::size_t i = 0; i < ext; ++i) {
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v_h(i) = randObj();
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}
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}
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else {
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throw std::runtime_error("invalid choice");
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}
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Kokkos::deep_copy(aux_view, v_h);
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CopyFunctor<aux_view_t, ViewType> F1(aux_view, dest_view);
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Kokkos::parallel_for("copy", dest_view.extent(0), F1);
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}
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// I had to write my own because std::transform_exclusive_scan is ONLY found
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// with std=c++17
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template <class it1, class it2, class ValType, class BopType, class UopType>
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void my_host_transform_exclusive_scan(it1 first, it1 last, it2 dest,
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ValType init, BopType bop, UopType uop) {
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const auto num_elements = last - first;
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if (num_elements > 0) {
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while (first < last - 1) {
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*(dest++) = init;
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init = bop(uop(*(first++)), init);
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}
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*dest = init;
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}
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}
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template <class ViewType1, class ViewType2, class ValueType, class BinaryOp,
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class UnaryOp>
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void verify_data(ViewType1 data_view, // contains data
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ViewType2 test_view, // the view to test
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ValueType init_value, BinaryOp bop, UnaryOp uop) {
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//! always careful because views might not be deep copyable
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auto data_view_dc = create_deep_copyable_compatible_clone(data_view);
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auto data_view_h =
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create_mirror_view_and_copy(Kokkos::HostSpace(), data_view_dc);
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using gold_view_value_type = typename ViewType2::value_type;
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Kokkos::View<gold_view_value_type*, Kokkos::HostSpace> gold_h(
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"goldh", data_view.extent(0));
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my_host_transform_exclusive_scan(KE::cbegin(data_view_h),
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KE::cend(data_view_h), KE::begin(gold_h),
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init_value, bop, uop);
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auto test_view_dc = create_deep_copyable_compatible_clone(test_view);
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auto test_view_h =
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create_mirror_view_and_copy(Kokkos::HostSpace(), test_view_dc);
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if (test_view_h.extent(0) > 0) {
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for (std::size_t i = 0; i < test_view_h.extent(0); ++i) {
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// std::cout << i << " " << std::setprecision(15) << data_view_h(i) << " "
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// << gold_h(i) << " " << test_view_h(i) << " "
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// << std::abs(gold_h(i) - test_view_h(i)) << std::endl;
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if (std::is_same<gold_view_value_type, int>::value) {
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EXPECT_EQ(gold_h(i), test_view_h(i));
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} else {
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const auto error = std::abs(gold_h(i) - test_view_h(i));
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if (error > 1e-10) {
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std::cout << i << " " << std::setprecision(15) << data_view_h(i)
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<< " " << gold_h(i) << " " << test_view_h(i) << " "
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<< std::abs(gold_h(i) - test_view_h(i)) << std::endl;
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}
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EXPECT_LT(error, 1e-10);
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}
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}
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// std::cout << " last el: " << test_view_h(test_view_h.extent(0)-1) <<
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// std::endl;
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}
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}
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template <class ValueType>
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struct TimesTwoUnaryFunctor {
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KOKKOS_INLINE_FUNCTION
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ValueType operator()(const ValueType& a) const { return (a * ValueType(2)); }
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};
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template <class ValueType>
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struct SumBinaryFunctor {
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KOKKOS_INLINE_FUNCTION
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ValueType operator()(const ValueType& a, const ValueType& b) const {
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return (a + b);
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}
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};
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std::string value_type_to_string(int) { return "int"; }
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std::string value_type_to_string(double) { return "double"; }
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template <class Tag, class ValueType, class InfoType, class BinaryOp,
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class UnaryOp>
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void run_single_scenario(const InfoType& scenario_info, ValueType init_value,
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BinaryOp bop, UnaryOp uop) {
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const auto name = std::get<0>(scenario_info);
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const std::size_t view_ext = std::get<1>(scenario_info);
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// std::cout << "transform_exclusive_scan custom op: " << name << ", "
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// << view_tag_to_string(Tag{}) << ", "
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// << value_type_to_string(ValueType()) << ", "
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// << "init = " << init_value << std::endl;
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auto view_dest =
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create_view<ValueType>(Tag{}, view_ext, "transform_exclusive_scan");
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auto view_from =
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create_view<ValueType>(Tag{}, view_ext, "transform_exclusive_scan");
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fill_view(view_from, name);
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{
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fill_zero(view_dest);
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auto r = KE::transform_exclusive_scan(
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exespace(), KE::cbegin(view_from), KE::cend(view_from),
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KE::begin(view_dest), init_value, bop, uop);
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EXPECT_EQ(r, KE::end(view_dest));
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verify_data(view_from, view_dest, init_value, bop, uop);
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}
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{
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fill_zero(view_dest);
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auto r = KE::transform_exclusive_scan(
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"label", exespace(), KE::cbegin(view_from), KE::cend(view_from),
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KE::begin(view_dest), init_value, bop, uop);
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EXPECT_EQ(r, KE::end(view_dest));
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verify_data(view_from, view_dest, init_value, bop, uop);
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}
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{
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fill_zero(view_dest);
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auto r = KE::transform_exclusive_scan(exespace(), view_from, view_dest,
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init_value, bop, uop);
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EXPECT_EQ(r, KE::end(view_dest));
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verify_data(view_from, view_dest, init_value, bop, uop);
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}
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{
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fill_zero(view_dest);
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auto r = KE::transform_exclusive_scan("label", exespace(), view_from,
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view_dest, init_value, bop, uop);
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EXPECT_EQ(r, KE::end(view_dest));
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verify_data(view_from, view_dest, init_value, bop, uop);
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}
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Kokkos::fence();
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}
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template <class Tag, class ValueType>
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void run_all_scenarios() {
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const std::map<std::string, std::size_t> scenarios = {
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{"empty", 0}, {"one-element", 1}, {"two-elements-a", 2},
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{"two-elements-b", 2}, {"small-a", 9}, {"small-b", 13},
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{"medium", 1103}, {"large", 10513}};
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for (const auto& it : scenarios) {
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using uop_t = TimesTwoUnaryFunctor<ValueType>;
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using bop_t = SumBinaryFunctor<ValueType>;
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run_single_scenario<Tag, ValueType>(it, ValueType{0}, bop_t(), uop_t());
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run_single_scenario<Tag, ValueType>(it, ValueType{1}, bop_t(), uop_t());
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run_single_scenario<Tag, ValueType>(it, ValueType{-2}, bop_t(), uop_t());
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run_single_scenario<Tag, ValueType>(it, ValueType{3}, bop_t(), uop_t());
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}
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}
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#if !defined KOKKOS_ENABLE_OPENMPTARGET
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TEST(std_algorithms_numeric_ops_test, transform_exclusive_scan) {
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run_all_scenarios<DynamicTag, double>();
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run_all_scenarios<StridedThreeTag, double>();
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run_all_scenarios<DynamicTag, int>();
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run_all_scenarios<StridedThreeTag, int>();
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}
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#endif
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} // namespace TransformEScan
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} // namespace stdalgos
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} // namespace Test
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