257 lines
8.7 KiB
C++
257 lines
8.7 KiB
C++
/*
|
|
//@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
|
|
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
|
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NTESS OR THE
|
|
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
|
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
|
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
|
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
|
|
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
|
|
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
|
|
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
//
|
|
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
|
|
//
|
|
// ************************************************************************
|
|
//@HEADER
|
|
*/
|
|
|
|
#ifndef KOKKOS_TEST_DYNAMICVIEW_HPP
|
|
#define KOKKOS_TEST_DYNAMICVIEW_HPP
|
|
|
|
#include <gtest/gtest.h>
|
|
#include <iostream>
|
|
#include <cstdlib>
|
|
#include <cstdio>
|
|
#include <Kokkos_Core.hpp>
|
|
|
|
#include <Kokkos_DynamicView.hpp>
|
|
#include <Kokkos_Timer.hpp>
|
|
|
|
namespace Test {
|
|
|
|
template <typename Scalar, class Space>
|
|
struct TestDynamicView {
|
|
using execution_space = typename Space::execution_space;
|
|
using memory_space = typename Space::memory_space;
|
|
|
|
using view_type = Kokkos::Experimental::DynamicView<Scalar*, Space>;
|
|
|
|
using value_type = double;
|
|
|
|
static void run(unsigned arg_total_size) {
|
|
// Test: Create DynamicView, initialize size (via resize), run through
|
|
// parallel_for to set values, check values (via parallel_reduce); resize
|
|
// values and repeat
|
|
// Case 1: min_chunk_size is a power of 2
|
|
{
|
|
{
|
|
view_type d1;
|
|
ASSERT_FALSE(d1.is_allocated());
|
|
|
|
d1 = view_type("d1", 1024, arg_total_size);
|
|
view_type d2(d1);
|
|
view_type d3("d3", 1024, arg_total_size);
|
|
|
|
ASSERT_FALSE(d1.is_allocated());
|
|
ASSERT_FALSE(d2.is_allocated());
|
|
ASSERT_FALSE(d3.is_allocated());
|
|
|
|
unsigned d_size = arg_total_size / 8;
|
|
d1.resize_serial(d_size);
|
|
d2.resize_serial(d_size);
|
|
d3.resize_serial(d_size);
|
|
|
|
ASSERT_TRUE(d1.is_allocated());
|
|
ASSERT_TRUE(d2.is_allocated());
|
|
ASSERT_TRUE(d3.is_allocated());
|
|
}
|
|
view_type da("da", 1024, arg_total_size);
|
|
ASSERT_EQ(da.size(), 0);
|
|
// Init
|
|
unsigned da_size = arg_total_size / 8;
|
|
da.resize_serial(da_size);
|
|
ASSERT_EQ(da.size(), da_size);
|
|
|
|
#if defined(KOKKOS_ENABLE_CXX11_DISPATCH_LAMBDA)
|
|
Kokkos::parallel_for(
|
|
Kokkos::RangePolicy<execution_space>(0, da_size),
|
|
KOKKOS_LAMBDA(const int i) { da(i) = Scalar(i); });
|
|
|
|
value_type result_sum = 0.0;
|
|
Kokkos::parallel_reduce(
|
|
Kokkos::RangePolicy<execution_space>(0, da_size),
|
|
KOKKOS_LAMBDA(const int i, value_type& partial_sum) {
|
|
partial_sum += (value_type)da(i);
|
|
},
|
|
result_sum);
|
|
|
|
ASSERT_EQ(result_sum, (value_type)(da_size * (da_size - 1) / 2));
|
|
#endif
|
|
|
|
// add 3x more entries i.e. 4x larger than previous size
|
|
// the first 1/4 should remain the same
|
|
unsigned da_resize = arg_total_size / 2;
|
|
da.resize_serial(da_resize);
|
|
ASSERT_EQ(da.size(), da_resize);
|
|
|
|
#if defined(KOKKOS_ENABLE_CXX11_DISPATCH_LAMBDA)
|
|
Kokkos::parallel_for(
|
|
Kokkos::RangePolicy<execution_space>(da_size, da_resize),
|
|
KOKKOS_LAMBDA(const int i) { da(i) = Scalar(i); });
|
|
|
|
value_type new_result_sum = 0.0;
|
|
Kokkos::parallel_reduce(
|
|
Kokkos::RangePolicy<execution_space>(da_size, da_resize),
|
|
KOKKOS_LAMBDA(const int i, value_type& partial_sum) {
|
|
partial_sum += (value_type)da(i);
|
|
},
|
|
new_result_sum);
|
|
|
|
ASSERT_EQ(new_result_sum + result_sum,
|
|
(value_type)(da_resize * (da_resize - 1) / 2));
|
|
#endif
|
|
} // end scope
|
|
|
|
// Test: Create DynamicView, initialize size (via resize), run through
|
|
// parallel_for to set values, check values (via parallel_reduce); resize
|
|
// values and repeat
|
|
// Case 2: min_chunk_size is NOT a power of 2
|
|
{
|
|
view_type da("da", 1023, arg_total_size);
|
|
ASSERT_EQ(da.size(), 0);
|
|
// Init
|
|
unsigned da_size = arg_total_size / 8;
|
|
da.resize_serial(da_size);
|
|
ASSERT_EQ(da.size(), da_size);
|
|
|
|
#if defined(KOKKOS_ENABLE_CXX11_DISPATCH_LAMBDA)
|
|
Kokkos::parallel_for(
|
|
Kokkos::RangePolicy<execution_space>(0, da_size),
|
|
KOKKOS_LAMBDA(const int i) { da(i) = Scalar(i); });
|
|
|
|
value_type result_sum = 0.0;
|
|
Kokkos::parallel_reduce(
|
|
Kokkos::RangePolicy<execution_space>(0, da_size),
|
|
KOKKOS_LAMBDA(const int i, value_type& partial_sum) {
|
|
partial_sum += (value_type)da(i);
|
|
},
|
|
result_sum);
|
|
|
|
ASSERT_EQ(result_sum, (value_type)(da_size * (da_size - 1) / 2));
|
|
#endif
|
|
|
|
// add 3x more entries i.e. 4x larger than previous size
|
|
// the first 1/4 should remain the same
|
|
unsigned da_resize = arg_total_size / 2;
|
|
da.resize_serial(da_resize);
|
|
ASSERT_EQ(da.size(), da_resize);
|
|
|
|
#if defined(KOKKOS_ENABLE_CXX11_DISPATCH_LAMBDA)
|
|
Kokkos::parallel_for(
|
|
Kokkos::RangePolicy<execution_space>(da_size, da_resize),
|
|
KOKKOS_LAMBDA(const int i) { da(i) = Scalar(i); });
|
|
|
|
value_type new_result_sum = 0.0;
|
|
Kokkos::parallel_reduce(
|
|
Kokkos::RangePolicy<execution_space>(da_size, da_resize),
|
|
KOKKOS_LAMBDA(const int i, value_type& partial_sum) {
|
|
partial_sum += (value_type)da(i);
|
|
},
|
|
new_result_sum);
|
|
|
|
ASSERT_EQ(new_result_sum + result_sum,
|
|
(value_type)(da_resize * (da_resize - 1) / 2));
|
|
#endif
|
|
} // end scope
|
|
|
|
// Test: Create DynamicView, initialize size (via resize), run through
|
|
// parallel_for to set values, check values (via parallel_reduce); resize
|
|
// values and repeat
|
|
// Case 3: resize reduces the size
|
|
{
|
|
view_type da("da", 1023, arg_total_size);
|
|
ASSERT_EQ(da.size(), 0);
|
|
// Init
|
|
unsigned da_size = arg_total_size / 2;
|
|
da.resize_serial(da_size);
|
|
ASSERT_EQ(da.size(), da_size);
|
|
|
|
#if defined(KOKKOS_ENABLE_CXX11_DISPATCH_LAMBDA)
|
|
Kokkos::parallel_for(
|
|
Kokkos::RangePolicy<execution_space>(0, da_size),
|
|
KOKKOS_LAMBDA(const int i) { da(i) = Scalar(i); });
|
|
|
|
value_type result_sum = 0.0;
|
|
Kokkos::parallel_reduce(
|
|
Kokkos::RangePolicy<execution_space>(0, da_size),
|
|
KOKKOS_LAMBDA(const int i, value_type& partial_sum) {
|
|
partial_sum += (value_type)da(i);
|
|
},
|
|
result_sum);
|
|
|
|
ASSERT_EQ(result_sum, (value_type)(da_size * (da_size - 1) / 2));
|
|
#endif
|
|
|
|
// remove the final 3/4 entries i.e. first 1/4 remain
|
|
unsigned da_resize = arg_total_size / 8;
|
|
da.resize_serial(da_resize);
|
|
ASSERT_EQ(da.size(), da_resize);
|
|
|
|
#if defined(KOKKOS_ENABLE_CXX11_DISPATCH_LAMBDA)
|
|
Kokkos::parallel_for(
|
|
Kokkos::RangePolicy<execution_space>(0, da_resize),
|
|
KOKKOS_LAMBDA(const int i) { da(i) = Scalar(i); });
|
|
|
|
value_type new_result_sum = 0.0;
|
|
Kokkos::parallel_reduce(
|
|
Kokkos::RangePolicy<execution_space>(0, da_resize),
|
|
KOKKOS_LAMBDA(const int i, value_type& partial_sum) {
|
|
partial_sum += (value_type)da(i);
|
|
},
|
|
new_result_sum);
|
|
|
|
ASSERT_EQ(new_result_sum, (value_type)(da_resize * (da_resize - 1) / 2));
|
|
#endif
|
|
} // end scope
|
|
}
|
|
};
|
|
|
|
TEST(TEST_CATEGORY, dynamic_view) {
|
|
using TestDynView = TestDynamicView<double, TEST_EXECSPACE>;
|
|
|
|
for (int i = 0; i < 10; ++i) {
|
|
TestDynView::run(100000 + 100 * i);
|
|
}
|
|
}
|
|
|
|
} // namespace Test
|
|
|
|
#endif /* #ifndef KOKKOS_TEST_DYNAMICVIEW_HPP */
|