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project_6/cccl_upstream/thrust/benchmarks/bench/set_operations/base.cuh

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// SPDX-FileCopyrightText: Copyright (c) 2011-2023, NVIDIA CORPORATION. All rights reserved.
// SPDX-License-Identifier: BSD-3
#pragma once
#include <thrust/device_vector.h>
#include <thrust/execution_policy.h>
#include <thrust/set_operations.h>
#include <thrust/sort.h>
#include "nvbench_helper.cuh"
template <typename T, typename OpT>
static void basic(nvbench::state& state, nvbench::type_list<T>, OpT op)
{
const auto elements = static_cast<std::size_t>(state.get_int64("Elements"));
const auto size_ratio = static_cast<std::size_t>(state.get_int64("SizeRatio"));
const bit_entropy entropy = str_to_entropy(state.get_string("Entropy"));
const auto elements_in_A = static_cast<std::size_t>(static_cast<double>(size_ratio * elements) / 100.0f);
thrust::device_vector<T> input = generate(elements, entropy);
thrust::device_vector<T> output(elements);
thrust::sort(input.begin(), input.begin() + elements_in_A);
thrust::sort(input.begin() + elements_in_A, input.end());
caching_allocator_t alloc;
// not a warm-up run, we need to run once to determine the size of the output
const auto result_ends =
op(policy(alloc),
input.cbegin(),
input.cbegin() + elements_in_A,
input.cbegin() + elements_in_A,
input.cend(),
output.begin());
const std::size_t elements_in_AB = ::cuda::std::distance(output.begin(), result_ends);
state.add_element_count(elements);
state.add_global_memory_reads<T>(elements);
state.add_global_memory_writes<T>(elements_in_AB);
state.exec(nvbench::exec_tag::gpu | nvbench::exec_tag::no_batch | nvbench::exec_tag::sync,
[&](nvbench::launch& launch) {
op(policy(alloc, launch),
input.cbegin(),
input.cbegin() + elements_in_A,
input.cbegin() + elements_in_A,
input.cend(),
output.begin());
});
}
using types = nvbench::type_list<int8_t, int16_t, int32_t, int64_t>;