mirror of
https://github.com/NVIDIA/nvbench.git
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260 lines
8.2 KiB
Plaintext
260 lines
8.2 KiB
Plaintext
/*
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* Copyright 2021 NVIDIA Corporation
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*
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* Licensed under the Apache License, Version 2.0 with the LLVM exception
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* (the "License"); you may not use this file except in compliance with
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* the License.
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*
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* You may obtain a copy of the License at
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*
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* http://llvm.org/foundation/relicensing/LICENSE.txt
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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 <nvbench/benchmark.cuh>
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#include <nvbench/callable.cuh>
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#include <nvbench/device_manager.cuh>
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#include <nvbench/named_values.cuh>
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#include <nvbench/state.cuh>
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#include <nvbench/type_list.cuh>
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#include <nvbench/type_strings.cuh>
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#include <nvbench/types.cuh>
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#include <fmt/format.h>
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#include <algorithm>
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#include <iterator>
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#include <utility>
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#include <variant>
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#include <vector>
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#include "test_asserts.cuh"
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template <typename T>
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std::vector<T> sort(std::vector<T> &&vec)
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{
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std::sort(vec.begin(), vec.end());
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return std::move(vec);
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}
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void no_op_generator(nvbench::state &state)
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{
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fmt::memory_buffer params;
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fmt::format_to(std::back_inserter(params), "Params:");
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const auto &axis_values = state.get_axis_values();
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for (const auto &name : sort(axis_values.get_names()))
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{
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std::visit(
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[¶ms, &name](const auto &value) {
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fmt::format_to(std::back_inserter(params), " {}: {}", name, value);
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},
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axis_values.get_value(name));
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}
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// Marking as skipped to signal that this state is run:
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state.skip(fmt::to_string(std::move(params)));
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}
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NVBENCH_DEFINE_CALLABLE(no_op_generator, no_op_callable);
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template <typename KernelGenerator, typename TypeAxes = nvbench::type_list<>>
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struct rezippable_benchmark final : public nvbench::benchmark_base
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{
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using kernel_generator = KernelGenerator;
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using type_axes = TypeAxes;
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using type_configs = nvbench::tl::cartesian_product<type_axes>;
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static constexpr std::size_t num_type_configs = nvbench::tl::size<type_configs>{};
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rezippable_benchmark()
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: benchmark_base(type_axes{})
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{}
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private:
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std::unique_ptr<benchmark_base> do_clone() const final
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{
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return std::make_unique<rezippable_benchmark>();
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}
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void do_set_type_axes_names(std::vector<std::string> names) final
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{
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m_axes.set_type_axes_names(std::move(names));
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}
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void do_run() final
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{
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nvbench::runner<rezippable_benchmark> runner{*this};
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runner.generate_states();
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runner.run();
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}
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};
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template <typename Integer, typename Float, typename Other>
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void template_no_op_generator(nvbench::state &state, nvbench::type_list<Integer, Float, Other>)
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{
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ASSERT(nvbench::type_strings<Integer>::input_string() == state.get_string("Integer"));
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ASSERT(nvbench::type_strings<Float>::input_string() == state.get_string("Float"));
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ASSERT(nvbench::type_strings<Other>::input_string() == state.get_string("Other"));
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// Enum params using non-templated version:
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no_op_generator(state);
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}
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NVBENCH_DEFINE_CALLABLE_TEMPLATE(template_no_op_generator, template_no_op_callable);
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void test_zip_axes()
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{
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using benchmark_type = nvbench::benchmark<no_op_callable>;
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benchmark_type bench;
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bench.set_devices(nvbench::device_manager::get().get_devices());
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bench.add_zip_axes(nvbench::float64_axis("F64 Axis", {0., .1, .25, .5, 1.}),
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nvbench::int64_axis("I64 Axis", {1, 3, 2, 4, 5}));
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const auto num_devices = std::max(std::size_t(1), bench.get_devices().size());
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ASSERT_MSG(bench.get_config_count() == 5 * num_devices,
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"Got {}, expected {}",
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bench.get_config_count(),
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5 * bench.get_devices().size());
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bench.set_devices(std::vector<int>{});
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ASSERT_MSG(bench.get_config_count() == 5, "Got {}, expected {}", bench.get_config_count(), 5);
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}
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void test_zip_unequal_length()
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{
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using benchmark_type = nvbench::benchmark<no_op_callable>;
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benchmark_type bench;
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ASSERT_THROWS_ANY(bench.add_zip_axes(nvbench::float64_axis("F64 Axis", {0., .1, .25, .5, 1.}),
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nvbench::int64_axis("I64 Axis", {1, 3, 2})));
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}
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void test_zip_clone()
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{
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using benchmark_type = nvbench::benchmark<no_op_callable>;
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benchmark_type bench;
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bench.set_devices(std::vector<int>{});
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bench.add_int64_power_of_two_axis("I64 POT Axis", {10, 20});
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bench.add_int64_axis("I64 Axis", {10, 20});
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bench.add_zip_axes(nvbench::string_axis("Strings", {"string a", "string b", "string c"}),
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nvbench::float64_axis("F64 Axis", {0., .1, .25}));
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const auto expected_count = bench.get_config_count();
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std::unique_ptr<nvbench::benchmark_base> clone_base = bench.clone();
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ASSERT(clone_base.get() != nullptr);
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ASSERT_MSG(expected_count == clone_base->get_config_count(),
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"Got {}",
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clone_base->get_config_count());
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auto *clone = dynamic_cast<benchmark_type *>(clone_base.get());
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ASSERT(clone != nullptr);
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ASSERT(bench.get_name() == clone->get_name());
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const auto &ref_axes = bench.get_axes().get_axes();
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const auto &clone_axes = clone->get_axes().get_axes();
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ASSERT(ref_axes.size() == clone_axes.size());
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for (std::size_t i = 0; i < ref_axes.size(); ++i)
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{
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const nvbench::axis_base *ref_axis = ref_axes[i].get();
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const nvbench::axis_base *clone_axis = clone_axes[i].get();
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ASSERT(ref_axis != nullptr);
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ASSERT(clone_axis != nullptr);
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ASSERT(ref_axis->get_name() == clone_axis->get_name());
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ASSERT(ref_axis->get_type() == clone_axis->get_type());
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ASSERT(ref_axis->get_size() == clone_axis->get_size());
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for (std::size_t j = 0; j < ref_axis->get_size(); ++j)
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{
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ASSERT(ref_axis->get_input_string(j) == clone_axis->get_input_string(j));
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ASSERT(ref_axis->get_description(j) == clone_axis->get_description(j));
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}
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}
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ASSERT(clone->get_states().empty());
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}
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struct under_diag final : nvbench::user_axis_space
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{
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under_diag(std::vector<std::size_t> input_indices)
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: nvbench::user_axis_space(std::move(input_indices))
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{}
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mutable std::size_t x_pos = 0;
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mutable std::size_t y_pos = 0;
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mutable std::size_t x_start = 0;
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nvbench::detail::axis_space_iterator do_get_iterator(axis_value_indices info) const
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{
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// generate our increment function
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auto adv_func = [&, info](std::size_t &inc_index, std::size_t /*len*/) -> bool {
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inc_index++;
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x_pos++;
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if (x_pos == info[0].axis_size)
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{
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x_pos = ++x_start;
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y_pos = x_start;
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return true;
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}
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return false;
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};
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// our update function
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auto diag_under =
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[&, info](std::size_t, axis_value_indices::iterator start, axis_value_indices::iterator end) {
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start->value_index = x_pos;
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end->value_index = y_pos;
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};
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const size_t iteration_length = ((info[0].axis_size * (info[1].axis_size + 1)) / 2);
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return nvbench::detail::axis_space_iterator(info, iteration_length, adv_func, diag_under);
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}
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std::size_t do_get_size(const axis_value_indices &info) const
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{
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return ((info[0].axis_size * (info[1].axis_size + 1)) / 2);
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}
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std::size_t do_get_active_count(const axis_value_indices &info) const
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{
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return ((info[0].axis_size * (info[1].axis_size + 1)) / 2);
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}
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std::unique_ptr<nvbench::iteration_space_base> do_clone() const
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{
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return std::make_unique<under_diag>(*this);
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}
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};
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void test_user_axes()
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{
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using benchmark_type = rezippable_benchmark<no_op_callable>;
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benchmark_type bench;
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bench.set_devices(nvbench::device_manager::get().get_devices());
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bench.add_user_iteration_axes(
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[](auto... args) -> std::unique_ptr<nvbench::iteration_space_base> {
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return std::make_unique<under_diag>(args...);
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},
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nvbench::float64_axis("F64 Axis", {0., .1, .25, .5, 1.}),
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nvbench::int64_axis("I64 Axis", {1, 3, 2, 4, 5}));
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const auto num_devices = std::max(std::size_t(1), bench.get_devices().size());
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ASSERT_MSG(bench.get_config_count() == 15 * num_devices, "Got {}", bench.get_config_count());
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bench.set_devices(std::vector<int>{});
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ASSERT_MSG(bench.get_config_count() == 15, "Got {}", bench.get_config_count());
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}
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int main()
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{
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test_zip_axes();
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test_zip_unequal_length();
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test_zip_clone();
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test_user_axes();
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}
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