89 lines
2.9 KiB
C++
89 lines
2.9 KiB
C++
/*
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* Copyright (C) 2021 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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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 <inttypes.h>
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#include <array>
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#include <chrono>
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#include <deque>
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#include <random>
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#include <vector>
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#include "AdaptiveCpuConfig.h"
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#include "CpuFrequencyReader.h"
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#include "Device.h"
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#include "ThrottleDecision.h"
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#include "WorkDurationProcessor.h"
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namespace aidl {
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namespace google {
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namespace hardware {
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namespace power {
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namespace impl {
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namespace pixel {
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// Currently Adaptive CPU is targeted to only raven/oriole, so we can hardcode the CPU architecture.
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// If we extend to other architectures, this will have to vary per-device or be dynamically loaded.
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constexpr uint32_t NUM_CPU_CORES = 8;
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constexpr uint32_t NUM_CPU_POLICIES = 3;
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constexpr std::array<uint32_t, NUM_CPU_POLICIES> CPU_POLICY_INDICES{0, 4, 6};
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struct ModelInput {
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std::array<double, NUM_CPU_POLICIES> cpuPolicyAverageFrequencyHz;
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std::array<double, NUM_CPU_CORES> cpuCoreIdleTimesPercentage;
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WorkDurationFeatures workDurationFeatures;
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ThrottleDecision previousThrottleDecision;
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Device device;
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bool SetCpuFreqiencies(
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const std::vector<CpuPolicyAverageFrequency> &cpuPolicyAverageFrequencies);
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void LogToAtrace() const;
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bool operator==(const ModelInput &other) const {
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return cpuPolicyAverageFrequencyHz == other.cpuPolicyAverageFrequencyHz &&
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cpuCoreIdleTimesPercentage == other.cpuCoreIdleTimesPercentage &&
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workDurationFeatures == other.workDurationFeatures &&
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previousThrottleDecision == other.previousThrottleDecision;
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}
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};
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class Model {
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public:
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Model()
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: mShouldRandomThrottleDistribution(0, 1),
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mRandomThrottleDistribution(static_cast<uint32_t>(ThrottleDecision::FIRST),
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static_cast<uint32_t>(ThrottleDecision::LAST)) {}
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ThrottleDecision Run(const std::deque<ModelInput> &modelInputs,
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const AdaptiveCpuConfig &config);
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private:
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std::default_random_engine mGenerator;
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std::uniform_real_distribution<double> mShouldRandomThrottleDistribution;
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std::uniform_int_distribution<uint32_t> mRandomThrottleDistribution;
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ThrottleDecision RunDecisionTree(const std::deque<ModelInput> &modelInputs);
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};
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} // namespace pixel
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} // namespace impl
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} // namespace power
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} // namespace hardware
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} // namespace google
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} // namespace aidl
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