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project_6/cccl_upstream/thrust/benchmarks/bench/partition/basic.cu

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// SPDX-FileCopyrightText: Copyright (c) 2011-2023, NVIDIA CORPORATION. All rights reserved.
// SPDX-License-Identifier: BSD-3
#include <thrust/device_vector.h>
#include <thrust/execution_policy.h>
#include <thrust/partition.h>
#include "nvbench_helper.cuh"
template <typename T>
static void basic(nvbench::state& state, nvbench::type_list<T>)
{
using select_op_t = less_then_t<T>;
const auto elements = static_cast<std::size_t>(state.get_int64("Elements"));
const bit_entropy entropy = str_to_entropy(state.get_string("Entropy"));
const T val = lerp_min_max<T>(entropy_to_probability(entropy));
select_op_t select_op{val};
thrust::device_vector<T> input = generate(elements);
thrust::device_vector<T> output(elements);
state.add_element_count(elements);
state.add_global_memory_reads<T>(elements);
state.add_global_memory_writes<T>(elements);
caching_allocator_t alloc;
state.exec(nvbench::exec_tag::gpu | nvbench::exec_tag::no_batch | nvbench::exec_tag::sync,
[&](nvbench::launch& launch) {
thrust::partition_copy(
policy(alloc, launch),
input.cbegin(),
input.cend(),
output.begin(),
cuda::std::make_reverse_iterator(output.begin() + elements),
select_op);
});
}
NVBENCH_BENCH_TYPES(basic, NVBENCH_TYPE_AXES(fundamental_types))
.set_name("base")
.set_type_axes_names({"T{ct}"})
.add_int64_power_of_two_axis("Elements", nvbench::range(16, 28, 4))
.add_string_axis("Entropy", {"1.000", "0.544", "0.000"});