# Copyright 2016 ARM Limited # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # class FpsProcessor(object): """ Provides common object for processing surfaceFlinger output for frame statistics. This processor returns the four frame statistics below: :FPS: Frames Per Second. This is the frame rate of the workload. :frames: The total number of frames rendered during the execution of the workload. :janks: The number of "janks" that occurred during execution of the workload. Janks are sudden shifts in frame rate. They result in a "stuttery" UI. See http://jankfree.org/jank-busters-io :not_at_vsync: The number of frames that did not render in a single vsync cycle. """ def __init__(self, data, action=None): """ data - a pandas.DataFrame object with frame data (e.g. frames.csv) action - output metrics names with additional action specifier """ self.data = data self.action = action def process(self, refresh_period, drop_threshold): # pylint: disable=too-many-locals """ Generate frame per second (fps) and associated metrics for workload. refresh_period - the vsync interval drop_threshold - data points below this fps will be dropped """ fps = float('nan') frame_count, janks, not_at_vsync = 0, 0, 0 vsync_interval = refresh_period # fiter out bogus frames. bogus_frames_filter = self.data.actual_present_time != 0x7fffffffffffffff actual_present_times = self.data.actual_present_time[bogus_frames_filter] actual_present_time_deltas = actual_present_times - actual_present_times.shift() actual_present_time_deltas = actual_present_time_deltas.drop(0) vsyncs_to_compose = actual_present_time_deltas / vsync_interval vsyncs_to_compose.apply(lambda x: int(round(x, 0))) # drop values lower than drop_threshold FPS as real in-game frame # rate is unlikely to drop below that (except on loading screens # etc, which should not be factored in frame rate calculation). per_frame_fps = (1.0 / (vsyncs_to_compose * (vsync_interval / 1e9))) keep_filter = per_frame_fps > drop_threshold filtered_vsyncs_to_compose = vsyncs_to_compose[keep_filter] per_frame_fps.name = 'fps' if not filtered_vsyncs_to_compose.empty: total_vsyncs = filtered_vsyncs_to_compose.sum() frame_count = filtered_vsyncs_to_compose.size if total_vsyncs: fps = 1e9 * frame_count / (vsync_interval * total_vsyncs) janks = self._calc_janks(filtered_vsyncs_to_compose) not_at_vsync = self._calc_not_at_vsync(vsyncs_to_compose) metrics = (fps, frame_count, janks, not_at_vsync) return per_frame_fps, metrics @staticmethod def _calc_janks(filtered_vsyncs_to_compose): """ Internal method for calculating jank frames. """ pause_latency = 20 vtc_deltas = filtered_vsyncs_to_compose - filtered_vsyncs_to_compose.shift() vtc_deltas.index = range(0, vtc_deltas.size) vtc_deltas = vtc_deltas.drop(0).abs() janks = vtc_deltas.apply(lambda x: (pause_latency > x > 1.5) and 1 or 0).sum() return janks @staticmethod def _calc_not_at_vsync(vsyncs_to_compose): """ Internal method for calculating the number of frames that did not render in a single vsync cycle. """ epsilon = 0.0001 func = lambda x: (abs(x - 1.0) > epsilon) and 1 or 0 not_at_vsync = vsyncs_to_compose.apply(func).sum() return not_at_vsync