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103 lines
2.7 KiB
Plaintext
103 lines
2.7 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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#pragma once
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#include <nvbench/axis_base.cuh>
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#include <nvbench/flags.cuh>
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#include <nvbench/types.cuh>
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#include <string>
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#include <vector>
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namespace nvbench
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{
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enum class int64_axis_flags
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{
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none = 0,
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power_of_two = 0x1
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};
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} // namespace nvbench
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NVBENCH_DECLARE_FLAGS(nvbench::int64_axis_flags);
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namespace nvbench
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{
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struct int64_axis final : public axis_base
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{
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explicit int64_axis(std::string name)
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: axis_base{std::move(name), axis_type::int64}
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, m_inputs{}
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, m_values{}
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, m_flags{int64_axis_flags::none}
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{}
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~int64_axis() final;
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[[nodiscard]] bool is_power_of_two() const
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{
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return static_cast<bool>(m_flags & int64_axis_flags::power_of_two);
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}
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void set_inputs(std::vector<int64_t> inputs, int64_axis_flags flags = int64_axis_flags::none);
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[[nodiscard]] const std::vector<int64_t> &get_inputs() const { return m_inputs; };
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[[nodiscard]] int64_t get_value(std::size_t i) const { return m_values[i]; };
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[[nodiscard]] const std::vector<int64_t> &get_values() const { return m_values; };
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int64_axis_flags get_flags() const { return m_flags; }
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// Helper functions for pow2 conversions:
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static nvbench::int64_t compute_pow2(nvbench::int64_t exponent)
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{
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return nvbench::int64_t{1} << exponent;
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}
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// UB if value < 0.
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static nvbench::int64_t compute_log2(nvbench::int64_t value)
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{
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// TODO use <bit> functions in C++20?
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nvbench::uint64_t bits = static_cast<nvbench::uint64_t>(value);
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nvbench::int64_t exponent = 0;
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while ((bits >>= 1) != 0ull)
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{
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++exponent;
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}
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return exponent;
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};
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private:
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std::unique_ptr<axis_base> do_clone() const final { return std::make_unique<int64_axis>(*this); }
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std::size_t do_get_size() const final { return m_inputs.size(); }
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std::string do_get_input_string(std::size_t) const final;
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std::string do_get_description(std::size_t) const final;
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std::string_view do_get_flags_as_string() const final;
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std::vector<int64_t> m_inputs;
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std::vector<int64_t> m_values;
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int64_axis_flags m_flags;
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};
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} // namespace nvbench
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