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/*
* Copyright 2008-2013 NVIDIA Corporation
* Modifications Copyright© 2019 Advanced Micro Devices, Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <thrust/iterator/zip_iterator.h>
#include <thrust/reduce.h>
#include "test_header.hpp"
TESTS_DEFINE(ZipIteratorReduceTests, IntegerTestsParams);
template <typename Tuple>
struct TuplePlus
{
__host__ __device__ Tuple operator()(Tuple x, Tuple y) const
{
using namespace thrust;
return make_tuple(get<0>(x) + get<0>(y), get<1>(x) + get<1>(y));
}
}; // end SumTuple
TYPED_TEST(ZipIteratorReduceTests, TestZipIteratorReduce)
{
using T = typename TestFixture::input_type;
SCOPED_TRACE(testing::Message() << "with device_id= " << test::set_device_from_ctest());
for(auto size : get_sizes())
{
SCOPED_TRACE(testing::Message() << "with size= " << size);
for(auto seed : get_seeds())
{
SCOPED_TRACE(testing::Message() << "with seed= " << seed);
thrust::host_vector<T> h_data0 = get_random_data<T>(
size, std::numeric_limits<T>::min(), std::numeric_limits<T>::max(), seed);
thrust::host_vector<T> h_data1 = get_random_data<T>(
size,
std::numeric_limits<T>::min(),
std::numeric_limits<T>::max(),
seed + seed_value_addition
);
thrust::device_vector<T> d_data0 = h_data0;
thrust::device_vector<T> d_data1 = h_data1;
using Tuple = thrust::tuple<T, T>;
// run on host
Tuple h_result = thrust::reduce(
thrust::make_zip_iterator(thrust::make_tuple(h_data0.begin(), h_data1.begin())),
thrust::make_zip_iterator(thrust::make_tuple(h_data0.end(), h_data1.end())),
thrust::make_tuple<T, T>(0, 0),
TuplePlus<Tuple>());
// run on device
Tuple d_result = thrust::reduce(
thrust::make_zip_iterator(thrust::make_tuple(d_data0.begin(), d_data1.begin())),
thrust::make_zip_iterator(thrust::make_tuple(d_data0.end(), d_data1.end())),
thrust::make_tuple<T, T>(0, 0),
TuplePlus<Tuple>());
ASSERT_EQ(thrust::get<0>(h_result), thrust::get<0>(d_result));
ASSERT_EQ(thrust::get<1>(h_result), thrust::get<1>(d_result));
}
}
}
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