In (new) estimator of encoder cpu load, count max per input frame.
Bug: webrtc:9619 Change-Id: Ifc874fa3bd069e48a10fec57b673546aafd070e3 Reviewed-on: https://webrtc-review.googlesource.com/94143 Reviewed-by: Erik Språng <sprang@webrtc.org> Commit-Queue: Niels Moller <nisse@webrtc.org> Cr-Commit-Position: refs/heads/master@{#24293}
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@ -243,11 +243,13 @@ class SendProcessingUsage2 : public OveruseFrameDetector::ProcessingUsage {
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int64_t last_capture_time_us) override {}
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absl::optional<int> FrameSent(
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uint32_t timestamp,
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int64_t time_sent_in_us,
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uint32_t /* timestamp */,
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int64_t /* time_sent_in_us */,
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int64_t capture_time_us,
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absl::optional<int> encode_duration_us) override {
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if (encode_duration_us) {
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int duration_per_frame_us =
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DurationPerInputFrame(capture_time_us, *encode_duration_us);
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if (prev_time_us_ != -1) {
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if (capture_time_us < prev_time_us_) {
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// The weighting in AddSample assumes that samples are processed with
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@ -257,7 +259,7 @@ class SendProcessingUsage2 : public OveruseFrameDetector::ProcessingUsage {
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// bit forward in time.
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capture_time_us = prev_time_us_;
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}
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AddSample(1e-6 * (*encode_duration_us),
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AddSample(1e-6 * duration_per_frame_us,
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1e-6 * (capture_time_us - prev_time_us_));
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}
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}
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@ -287,12 +289,43 @@ class SendProcessingUsage2 : public OveruseFrameDetector::ProcessingUsage {
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load_estimate_ = c * encode_time + exp(-e) * load_estimate_;
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}
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int64_t DurationPerInputFrame(int64_t capture_time_us,
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int64_t encode_time_us) {
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// Discard data on old frames; limit 2 seconds.
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static constexpr int64_t kMaxAge = 2 * rtc::kNumMicrosecsPerSec;
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for (auto it = max_encode_time_per_input_frame_.begin();
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it != max_encode_time_per_input_frame_.end() &&
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it->first < capture_time_us - kMaxAge;) {
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it = max_encode_time_per_input_frame_.erase(it);
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}
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std::map<int64_t, int>::iterator it;
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bool inserted;
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std::tie(it, inserted) = max_encode_time_per_input_frame_.emplace(
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capture_time_us, encode_time_us);
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if (inserted) {
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// First encoded frame for this input frame.
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return encode_time_us;
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}
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if (encode_time_us <= it->second) {
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// Shorter encode time than previous frame (unlikely). Count it as being
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// done in parallel.
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return 0;
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}
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// Record new maximum encode time, and return increase from previous max.
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int increase = encode_time_us - it->second;
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it->second = encode_time_us;
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return increase;
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}
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int Value() override {
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return static_cast<int>(100.0 * load_estimate_ + 0.5);
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}
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private:
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const CpuOveruseOptions options_;
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// Indexed by the capture timestamp, used as frame id.
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std::map<int64_t, int> max_encode_time_per_input_frame_;
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int64_t prev_time_us_ = -1;
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double load_estimate_;
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};
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@ -108,6 +108,36 @@ class OveruseFrameDetectorTest : public ::testing::Test,
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}
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}
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virtual void InsertAndSendSimulcastFramesWithInterval(
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int num_frames,
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int interval_us,
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int width,
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int height,
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// One element per layer
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rtc::ArrayView<const int> delays_us) {
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VideoFrame frame(I420Buffer::Create(width, height),
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webrtc::kVideoRotation_0, 0);
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uint32_t timestamp = 0;
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while (num_frames-- > 0) {
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frame.set_timestamp(timestamp);
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int64_t capture_time_us = rtc::TimeMicros();
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overuse_detector_->FrameCaptured(frame, capture_time_us);
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int max_delay_us = 0;
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for (int delay_us : delays_us) {
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if (delay_us > max_delay_us) {
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clock_.AdvanceTimeMicros(delay_us - max_delay_us);
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max_delay_us = delay_us;
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}
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overuse_detector_->FrameSent(timestamp, rtc::TimeMicros(),
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capture_time_us, delay_us);
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}
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overuse_detector_->CheckForOveruse(observer_);
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clock_.AdvanceTimeMicros(interval_us - max_delay_us);
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timestamp += interval_us * 90 / 1000;
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}
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}
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virtual void InsertAndSendFramesWithRandomInterval(int num_frames,
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int min_interval_us,
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int max_interval_us,
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@ -578,6 +608,27 @@ TEST_F(OveruseFrameDetectorTest, NoOveruseForRandomFrameIntervalWithReset) {
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EXPECT_LE(UsagePercent(), InitialUsage() + 5);
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}
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// Models simulcast, with multiple encoded frames for each input frame.
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// Load estimate should be based on the maximum encode time per input frame.
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TEST_F(OveruseFrameDetectorTest, NoOveruseForSimulcast) {
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overuse_detector_->SetOptions(options_);
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EXPECT_CALL(mock_observer_, AdaptDown(_)).Times(0);
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constexpr int kNumFrames = 500;
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constexpr int kEncodeTimesUs[] = {
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10 * rtc::kNumMicrosecsPerMillisec, 8 * rtc::kNumMicrosecsPerMillisec,
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12 * rtc::kNumMicrosecsPerMillisec,
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};
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constexpr int kIntervalUs = 30 * rtc::kNumMicrosecsPerMillisec;
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InsertAndSendSimulcastFramesWithInterval(kNumFrames, kIntervalUs, kWidth,
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kHeight, kEncodeTimesUs);
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// Average usage 40%. 12 ms / 30 ms.
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EXPECT_GE(UsagePercent(), 35);
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EXPECT_LE(UsagePercent(), 45);
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}
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// Tests using new cpu load estimator
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class OveruseFrameDetectorTest2 : public OveruseFrameDetectorTest {
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protected:
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@ -905,4 +956,25 @@ TEST_F(OveruseFrameDetectorTest2, ToleratesOutOfOrderFrames) {
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EXPECT_GE(UsagePercent(), InitialUsage());
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}
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// Models simulcast, with multiple encoded frames for each input frame.
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// Load estimate should be based on the maximum encode time per input frame.
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TEST_F(OveruseFrameDetectorTest2, NoOveruseForSimulcast) {
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overuse_detector_->SetOptions(options_);
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EXPECT_CALL(mock_observer_, AdaptDown(_)).Times(0);
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constexpr int kNumFrames = 500;
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constexpr int kEncodeTimesUs[] = {
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10 * rtc::kNumMicrosecsPerMillisec, 8 * rtc::kNumMicrosecsPerMillisec,
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12 * rtc::kNumMicrosecsPerMillisec,
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};
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constexpr int kIntervalUs = 30 * rtc::kNumMicrosecsPerMillisec;
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InsertAndSendSimulcastFramesWithInterval(kNumFrames, kIntervalUs, kWidth,
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kHeight, kEncodeTimesUs);
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// Average usage 40%. 12 ms / 30 ms.
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EXPECT_GE(UsagePercent(), 35);
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EXPECT_LE(UsagePercent(), 45);
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}
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} // namespace webrtc
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