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98 lines
2.9 KiB
C++
98 lines
2.9 KiB
C++
/*
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* Copyright 2008-2013 NVIDIA Corporation
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* Modifications Copyright© 2025 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <thrust/scan.h>
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#include <thrust/transform.h>
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#include <thrust/tuple.h>
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#include "test_param_fixtures.hpp"
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#include "test_real_assertions.hpp"
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#include "test_utils.hpp"
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using IntegralTypes = ::testing::Types<
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Params<char>,
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Params<signed char>,
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Params<unsigned char>,
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Params<short>,
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Params<unsigned short>,
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Params<int>,
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Params<unsigned int>,
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Params<long>,
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Params<unsigned long>,
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Params<long long>,
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Params<unsigned long long>>;
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TESTS_DEFINE(TupleScanTests, IntegralTypes);
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struct SumTupleFunctor
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{
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template <typename Tuple>
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THRUST_HOST_DEVICE Tuple operator()(const Tuple& lhs, const Tuple& rhs)
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{
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using thrust::get;
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return thrust::make_tuple(get<0>(lhs) + get<0>(rhs), get<1>(lhs) + get<1>(rhs));
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}
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};
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struct MakeTupleFunctor
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{
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template <typename T1, typename T2>
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THRUST_HOST_DEVICE thrust::tuple<T1, T2> operator()(T1& lhs, T2& rhs)
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{
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return thrust::make_tuple(lhs, rhs);
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}
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};
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TYPED_TEST(TupleScanTests, TestTupleScan)
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{
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using T = typename TestFixture::input_type;
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using namespace thrust;
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SCOPED_TRACE(testing::Message() << "with device_id= " << test::set_device_from_ctest());
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for (auto size : get_sizes())
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{
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SCOPED_TRACE(testing::Message() << "with size= " << size);
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host_vector<T> h_t1 = random_integers<T>(size);
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host_vector<T> h_t2 = random_integers<T>(size);
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// initialize input
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host_vector<tuple<T, T>> h_input(size);
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transform(h_t1.begin(), h_t1.end(), h_t2.begin(), h_input.begin(), MakeTupleFunctor());
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device_vector<tuple<T, T>> d_input = h_input;
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// allocate output
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tuple<T, T> zero(0, 0);
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host_vector<tuple<T, T>> h_output(size, zero);
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device_vector<tuple<T, T>> d_output(size, zero);
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// inclusive_scan
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thrust::inclusive_scan(h_input.begin(), h_input.end(), h_output.begin(), SumTupleFunctor());
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thrust::inclusive_scan(d_input.begin(), d_input.end(), d_output.begin(), SumTupleFunctor());
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ASSERT_EQ_QUIET(h_output, d_output);
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// exclusive_scan
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tuple<T, T> init(13, 17);
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thrust::exclusive_scan(h_input.begin(), h_input.end(), h_output.begin(), init, SumTupleFunctor());
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thrust::exclusive_scan(d_input.begin(), d_input.end(), d_output.begin(), init, SumTupleFunctor());
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ASSERT_EQ_QUIET(h_output, d_output);
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}
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}
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