44 lines
1.6 KiB
Plaintext
44 lines
1.6 KiB
Plaintext
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// SPDX-FileCopyrightText: Copyright (c) 2011-2023, NVIDIA CORPORATION. All rights reserved.
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// SPDX-License-Identifier: BSD-3
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#include <thrust/copy.h>
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#include <thrust/count.h>
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#include <thrust/device_vector.h>
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#include <thrust/execution_policy.h>
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#include <nvbench_helper.cuh>
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template <typename T>
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static void basic(nvbench::state& state, nvbench::type_list<T>)
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{
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using select_op_t = less_then_t<T>;
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const auto elements = static_cast<std::size_t>(state.get_int64("Elements"));
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const bit_entropy entropy = str_to_entropy(state.get_string("Entropy"));
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const T val = lerp_min_max<T>(entropy_to_probability(entropy));
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select_op_t select_op{val};
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thrust::device_vector<T> input = generate(elements);
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const auto selected_elements = thrust::count_if(input.cbegin(), input.cend(), select_op);
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thrust::device_vector<T> output(selected_elements);
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state.add_element_count(elements);
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state.add_global_memory_reads<T>(elements);
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state.add_global_memory_writes<T>(selected_elements);
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caching_allocator_t alloc;
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state.exec(nvbench::exec_tag::gpu | nvbench::exec_tag::no_batch | nvbench::exec_tag::sync,
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[&](nvbench::launch& launch) {
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thrust::copy_if(policy(alloc, launch), input.cbegin(), input.cend(), output.begin(), select_op);
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});
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}
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using types = nvbench::type_list<int8_t, int16_t, int32_t, int64_t>;
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NVBENCH_BENCH_TYPES(basic, NVBENCH_TYPE_AXES(types))
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.set_name("base")
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.set_type_axes_names({"T{ct}"})
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.add_int64_power_of_two_axis("Elements", nvbench::range(16, 28, 4))
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.add_string_axis("Entropy", {"1.000", "0.544", "0.000"});
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