121 lines
4.4 KiB
C++
121 lines
4.4 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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#define LOG_TAG "powerhal-adaptivecpu"
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#define ATRACE_TAG (ATRACE_TAG_POWER | ATRACE_TAG_HAL)
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#include "WorkDurationProcessor.h"
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#include <android-base/logging.h>
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#include <utils/Trace.h>
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using std::chrono_literals::operator""ms;
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using std::chrono_literals::operator""ns;
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// The standard target duration, based on 60 FPS. Durations submitted with different targets are
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// normalized against this target. For example, a duration that was at 80% of its target will be
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// scaled to 0.8 * kNormalTargetDuration.
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constexpr std::chrono::nanoseconds kNormalTargetDuration = 16666666ns;
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// All durations shorter than this are ignored.
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constexpr std::chrono::nanoseconds kMinDuration = 0ns;
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// All durations longer than this are ignored.
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constexpr std::chrono::nanoseconds kMaxDuration = 600 * kNormalTargetDuration;
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// If we haven't processed a lot of batches, stop accepting new ones. In cases where the processing
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// thread has crashed, but the reporting thread is still reporting, this prevents consuming large
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// amounts of memory.
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// TODO(b/213160386): Move to AdaptiveCpuConfig.
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constexpr size_t kMaxUnprocessedBatches = 1000;
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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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bool WorkDurationProcessor::ReportWorkDurations(const std::vector<WorkDuration> &workDurations,
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std::chrono::nanoseconds targetDuration) {
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ATRACE_CALL();
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LOG(VERBOSE) << "Received " << workDurations.size() << " work durations with target "
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<< targetDuration.count() << "ns";
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std::unique_lock<std::mutex> lock(mMutex);
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if (mWorkDurationBatches.size() >= kMaxUnprocessedBatches) {
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LOG(ERROR) << "Adaptive CPU isn't processing work durations fast enough";
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mWorkDurationBatches.clear();
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return false;
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}
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mWorkDurationBatches.emplace_back(workDurations, targetDuration);
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return true;
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}
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WorkDurationFeatures WorkDurationProcessor::GetFeatures() {
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ATRACE_CALL();
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std::vector<WorkDurationBatch> workDurationBatches;
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{
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ATRACE_NAME("lock");
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std::unique_lock<std::mutex> lock(mMutex);
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mWorkDurationBatches.swap(workDurationBatches);
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}
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std::chrono::nanoseconds durationsSum = 0ns;
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std::chrono::nanoseconds maxDuration = 0ns;
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uint32_t numMissedDeadlines = 0;
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uint32_t numDurations = 0;
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for (const WorkDurationBatch &batch : workDurationBatches) {
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for (const WorkDuration workDuration : batch.workDurations) {
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std::chrono::nanoseconds duration(workDuration.durationNanos);
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if (duration < kMinDuration || duration > kMaxDuration) {
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continue;
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}
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// Normalise the duration and add it to the total.
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// kMaxDuration * kStandardTarget.count() fits comfortably within int64_t.
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std::chrono::nanoseconds durationNormalized =
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(duration * kNormalTargetDuration.count()) / batch.targetDuration.count();
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durationsSum += durationNormalized;
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maxDuration = std::max(maxDuration, durationNormalized);
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if (duration > batch.targetDuration) {
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++numMissedDeadlines;
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}
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++numDurations;
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}
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}
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std::chrono::nanoseconds averageDuration = durationsSum / numDurations;
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return {
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.averageDuration = averageDuration,
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.maxDuration = maxDuration,
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.numMissedDeadlines = numMissedDeadlines,
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.numDurations = numDurations,
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};
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}
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bool WorkDurationProcessor::HasWorkDurations() {
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std::unique_lock<std::mutex> lock(mMutex);
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return !mWorkDurationBatches.empty();
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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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