mirror of
https://github.com/servo/servo.git
synced 2025-08-06 14:10:11 +01:00
Remove support for heartbeats profiling
This commit is contained in:
Simon Sapin
parent
0abe90647f
commit
b282bd3a44
14 changed files with 7 additions and 1157 deletions
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@ -1,266 +0,0 @@
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#!/usr/bin/env python
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# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at https://mozilla.org/MPL/2.0/.
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from __future__ import print_function
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import sys
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import os
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from os import path
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import time
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import datetime
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import argparse
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import platform
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import subprocess
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import six
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TOP_DIR = path.join("..", "..")
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GUARD_TIME = 10
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HEARTBEAT_DEFAULT_WINDOW_SIZE = 20
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# Use a larger window sizes to reduce or prevent writing log files until benchmark completion
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# (profiler name, window size)
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# These categories need to be kept aligned with ProfilerCategory in components/profile_traits/time.rs
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HEARTBEAT_PROFILER_CATEGORIES = [
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("Compositing", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutPerform", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutStyleRecalc", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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# ("LayoutTextShaping", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutRestyleDamagePropagation", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutNonIncrementalReset", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutSelectorMatch", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutTreeBuilder", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutDamagePropagate", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutGeneratedContent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutDisplayListSorting", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutFloatPlacementSpeculation", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutMain", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutStoreOverflow", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutParallelWarmup", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutDispListBuild", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("NetHTTPRequestResponse", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("PaintingPerTile", 50),
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("PaintingPrepBuff", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("Painting", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ImageDecoding", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ImageSaving", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptAttachLayout", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptConstellationMsg", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptDevtoolsMsg", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptDocumentEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptDomEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptEvaluate", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptFileRead", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptImageCacheMsg", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptInputEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptNetworkEvent", 200),
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("ScriptParseHTML", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptPlannedNavigation", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptResize", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptSetScrollState", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptSetViewport", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptTimerEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptStylesheetLoad", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptUpdateReplacedElement", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptWebSocketEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptWorkerEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptServiceWorkerEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptParseXML", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptEnterFullscreen", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptExitFullscreen", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptWebVREvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ApplicationHeartbeat", 100),
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]
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ENERGY_READER_BIN = "energymon-file-provider"
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ENERGY_READER_TEMP_OUTPUT = "energymon.txt"
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SUMMARY_OUTPUT = "summary.txt"
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def get_command(build_target, layout_thread_count, renderer, page, profile):
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"""Get the command to execute.
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"""
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return path.join(TOP_DIR, "target", build_target, "servo") + \
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" -p %d -o output.png -y %d %s -Z profile-script-events '%s'" % \
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(profile, layout_thread_count, renderer, page)
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def set_app_environment(log_dir):
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"""Set environment variables to enable heartbeats.
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"""
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prefix = "heartbeat-"
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for (profiler, window) in HEARTBEAT_PROFILER_CATEGORIES:
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os.environ["SERVO_HEARTBEAT_ENABLE_" + profiler] = ""
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os.environ["SERVO_HEARTBEAT_LOG_" + profiler] = path.join(log_dir, prefix + profiler + ".log")
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os.environ["SERVO_HEARTBEAT_WINDOW_" + profiler] = str(window)
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def start_energy_reader():
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"""Energy reader writes to a file that we will poll.
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"""
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os.system(ENERGY_READER_BIN + " " + ENERGY_READER_TEMP_OUTPUT + "&")
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def stop_energy_reader():
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"""Stop the energy reader and remove its temp file.
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"""
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os.system("pkill -x " + ENERGY_READER_BIN)
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os.remove(ENERGY_READER_TEMP_OUTPUT)
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def read_energy():
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"""Poll the energy reader's temp file.
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"""
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data = 0
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with open(ENERGY_READER_TEMP_OUTPUT, "r") as em:
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data = int(em.read().replace('\n', ''))
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return data
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def git_rev_hash():
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"""Get the git revision hash.
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"""
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return subprocess.check_output(['git', 'rev-parse', 'HEAD']).rstrip()
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def git_rev_hash_short():
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"""Get the git revision short hash.
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"""
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return subprocess.check_output(['git', 'rev-parse', '--short', 'HEAD']).rstrip()
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def execute(base_dir, build_target, renderer, page, profile, trial, layout_thread_count):
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"""Run a single execution.
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"""
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log_dir = path.join(base_dir, "logs_l" + str(layout_thread_count),
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"trial_" + str(trial))
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if os.path.exists(log_dir):
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print("Log directory already exists: " + log_dir)
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sys.exit(1)
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os.makedirs(log_dir)
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set_app_environment(log_dir)
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cmd = get_command(build_target, layout_thread_count, renderer, page, profile)
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# Execute
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start_energy_reader()
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print('sleep ' + str(GUARD_TIME))
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time.sleep(GUARD_TIME)
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time_start = time.time()
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energy_start = read_energy()
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print(cmd)
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os.system(cmd)
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energy_end = read_energy()
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time_end = time.time()
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stop_energy_reader()
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print('sleep ' + str(GUARD_TIME))
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time.sleep(GUARD_TIME)
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uj = energy_end - energy_start
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latency = time_end - time_start
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watts = uj / 1000000.0 / latency
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# Write a file that describes this execution
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with open(path.join(log_dir, SUMMARY_OUTPUT), "w") as f:
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f.write("Datetime (UTC): " + datetime.datetime.utcnow().isoformat())
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f.write("\nPlatform: " + platform.platform())
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f.write("\nGit hash: " + git_rev_hash())
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f.write("\nGit short hash: " + git_rev_hash_short())
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f.write("\nRelease: " + build_target)
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f.write("\nLayout threads: " + str(layout_thread_count))
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f.write("\nTrial: " + str(trial))
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f.write("\nCommand: " + cmd)
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f.write("\nTime (sec): " + str(latency))
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f.write("\nEnergy (uJ): " + str(uj))
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f.write("\nPower (W): " + str(watts))
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def characterize(build_target, base_dir, layout_threads_limits, renderer, page, profile, trials):
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"""Run all configurations and capture results.
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"""
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for layout_thread_count in six.moves.xrange(layout_threads_limits[0], layout_threads_limits[1] + 1):
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for trial in six.moves.xrange(1, trials + 1):
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execute(base_dir, build_target, renderer, page, profile, trial, layout_thread_count)
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def main():
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"""For this script to be useful, the following conditions are needed:
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- HEARTBEAT_PROFILER_CATEGORIES should be aligned with the profiler categories in the source code.
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- The "energymon" project needs to be installed to the system (libraries and the "energymon" binary).
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- The "default" energymon library will be used - make sure you choose one that is useful for your system setup
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when installing energymon.
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- Build servo in release mode with the "energy-profiling" feature enabled (this links with the energymon lib).
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"""
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# Default max number of layout threads
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max_layout_threads = 1
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# Default benchmark
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benchmark = path.join(TOP_DIR, "tests", "html", "perf-rainbow.html")
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# Default renderer
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renderer = ""
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# Default output directory
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output_dir = "heartbeat_logs"
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# Default build target
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build_target = "release"
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# Default profile interval
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profile = 60
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# Default single argument
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single = False
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# Default number of trials
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trials = 1
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# Parsing the input of the script
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parser = argparse.ArgumentParser(description="Characterize Servo timing and energy behavior")
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parser.add_argument("-b", "--benchmark",
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default=benchmark,
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help="Gets the benchmark, for example \"-b http://www.example.com\"")
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parser.add_argument("-d", "--debug",
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action='store_true',
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help="Use debug build instead of release build")
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parser.add_argument("-w", "--webrender",
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action='store_true',
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help="Use webrender backend")
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parser.add_argument("-l", "--max_layout_threads",
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help="Specify the maximum number of threads for layout, for example \"-l 5\"")
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parser.add_argument("-o", "--output",
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help="Specify the log output directory, for example \"-o heartbeat_logs\"")
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parser.add_argument("-p", "--profile",
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default=60,
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help="Profiler output interval, for example \"-p 60\"")
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parser.add_argument("-s", "--single",
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action='store_true',
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help="Just run a single trial of the config provided, for example \"-s\"")
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parser.add_argument("-t", "--trials",
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default=1,
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type=int,
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help="Number of trials to run for each configuration, for example \"-t 1\"")
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args = parser.parse_args()
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if args.benchmark:
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benchmark = args.benchmark
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if args.debug:
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build_target = "debug"
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if args.webrender:
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renderer = "-w"
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if args.max_layout_threads:
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max_layout_threads = int(args.max_layout_threads)
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if args.output:
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output_dir = args.output
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if args.profile:
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profile = args.profile
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if args.single:
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single = True
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if args.trials:
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trials = args.trials
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if os.path.exists(output_dir):
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print("Output directory already exists: " + output_dir)
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sys.exit(1)
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os.makedirs(output_dir)
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if single:
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execute(output_dir, build_target, renderer, benchmark, profile, trials, max_layout_threads)
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else:
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characterize(build_target, output_dir, (1, max_layout_threads), renderer, benchmark, profile, trials)
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if __name__ == "__main__":
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main()
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@ -1,121 +0,0 @@
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#!/usr/bin/env python
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# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at https://mozilla.org/MPL/2.0/.
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from __future__ import print_function
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import sys
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import os
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from os import path
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import time
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import datetime
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import argparse
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import subprocess
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TOP_DIR = path.join("..", "..")
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GUARD_TIME = 20
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SUMMARY_OUTPUT = "summary.txt"
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def get_command(layout_thread_count, renderer, page, profile):
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"""Get the command to execute.
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"""
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return path.join(TOP_DIR, "mach") + " run --android" + \
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" -p %d -o /sdcard/servo/output.png -y %d %s -Z profile-script-events,profile-heartbeats '%s'" % \
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(profile, layout_thread_count, renderer, page)
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def git_rev_hash():
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"""Get the git revision hash.
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"""
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return subprocess.check_output(['git', 'rev-parse', 'HEAD']).rstrip()
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def git_rev_hash_short():
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"""Get the git revision short hash.
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"""
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return subprocess.check_output(['git', 'rev-parse', '--short', 'HEAD']).rstrip()
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def execute(base_dir, renderer, page, profile, trial, layout_thread_count):
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"""Run a single execution.
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"""
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log_dir = path.join(base_dir, "logs_l" + str(layout_thread_count),
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"trial_" + str(trial))
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if os.path.exists(log_dir):
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print("Log directory already exists: " + log_dir)
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sys.exit(1)
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os.makedirs(log_dir)
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# Execute
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cmd = get_command(layout_thread_count, renderer, page, profile)
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print(cmd)
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os.system(cmd)
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print('sleep ' + str(GUARD_TIME))
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time.sleep(GUARD_TIME)
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# Write a file that describes this execution
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with open(path.join(log_dir, SUMMARY_OUTPUT), "w") as f:
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f.write("Datetime (UTC): " + datetime.datetime.utcnow().isoformat())
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f.write("\nPlatform: Android")
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f.write("\nGit hash: " + git_rev_hash())
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f.write("\nGit short hash: " + git_rev_hash_short())
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f.write("\nLayout threads: " + str(layout_thread_count))
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f.write("\nTrial: " + str(trial))
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f.write("\nCommand: " + cmd)
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def main():
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"""For this script to be useful, the following conditions are needed:
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- Build servo for Android in release mode with the "energy-profiling" feature enabled.
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"""
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# Default number of layout threads
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layout_threads = 1
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# Default benchmark
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benchmark = "https://www.mozilla.org/"
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# Default renderer
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renderer = ""
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# Default output directory
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output_dir = "heartbeat_logs"
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# Default profile interval
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profile = 60
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# Parsing the input of the script
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parser = argparse.ArgumentParser(description="Characterize Servo timing and energy behavior on Android")
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parser.add_argument("-b", "--benchmark",
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default=benchmark,
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help="Gets the benchmark, for example \"-b http://www.example.com\"")
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parser.add_argument("-w", "--webrender",
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action='store_true',
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help="Use webrender backend")
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parser.add_argument("-l", "--layout_threads",
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help="Specify the number of threads for layout, for example \"-l 5\"")
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parser.add_argument("-o", "--output",
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help="Specify the log output directory, for example \"-o heartbeat_logs\"")
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parser.add_argument("-p", "--profile",
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default=60,
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help="Profiler output interval, for example \"-p 60\"")
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args = parser.parse_args()
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if args.benchmark:
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benchmark = args.benchmark
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if args.webrender:
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renderer = "-w"
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if args.layout_threads:
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layout_threads = int(args.layout_threads)
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if args.output:
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output_dir = args.output
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if args.profile:
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profile = args.profile
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if os.path.exists(output_dir):
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print("Output directory already exists: " + output_dir)
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sys.exit(1)
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os.makedirs(output_dir)
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execute(output_dir, renderer, benchmark, profile, 1, layout_threads)
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if __name__ == "__main__":
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main()
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@ -1,411 +0,0 @@
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#!/usr/bin/env python
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# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at https://mozilla.org/MPL/2.0/.
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from __future__ import print_function
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import argparse
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import matplotlib.pyplot as plt
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import numpy as np
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import os
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from os import path
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import six
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import sys
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import warnings
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HB_LOG_IDX_START_TIME = 7
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HB_LOG_IDX_END_TIME = HB_LOG_IDX_START_TIME + 1
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HB_LOG_IDX_START_ENERGY = 14
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HB_LOG_IDX_END_ENERGY = HB_LOG_IDX_START_ENERGY + 1
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ENERGY_PROFILER_NAME = 'ApplicationHeartbeat'
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SUMMARY_OUTPUT = "summary.txt"
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SUMMARY_TIME_IDX = 8
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SUMMARY_ENERGY_IDX = SUMMARY_TIME_IDX + 1
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SUMMARY_POWER_IDX = SUMMARY_ENERGY_IDX + 1
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def autolabel(rects, ax):
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"""Attach some text labels.
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"""
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for rect in rects:
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ax.text(rect.get_x() + rect.get_width() / 2., 1.05 * rect.get_height(), '', ha='center', va='bottom')
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def plot_raw_totals(config, plot_data, max_time, max_time_std, max_energy, max_energy_std, output_dir, normalize):
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"""Plot the raw totals for a configuration.
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Keyword arguments:
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config -- configuration name
|
||||
plot_data -- (profiler name, total_time, total_time_std, total_energy, total_energy_std)
|
||||
max_time, max_time_std, max_energy, max_energy_std -- single values
|
||||
normalize -- True/False
|
||||
"""
|
||||
plot_data = sorted(plot_data)
|
||||
keys = [p for (p, tt, tts, te, tes) in plot_data]
|
||||
total_times = [tt for (p, tt, tts, te, tes) in plot_data]
|
||||
total_times_std = [tts for (p, tt, tts, te, tes) in plot_data]
|
||||
total_energies = [te for (p, tt, tts, te, tes) in plot_data]
|
||||
total_energies_std = [tes for (p, tt, tts, te, tes) in plot_data]
|
||||
|
||||
fig, ax1 = plt.subplots()
|
||||
ind = np.arange(len(keys)) # the x locations for the groups
|
||||
width = 0.35 # the width of the bars
|
||||
# add some text for labels, title and axes ticks
|
||||
ax1.set_title('Time/Energy Data for Configuration ' + config)
|
||||
ax1.set_xticks(ind + width)
|
||||
ax1.set_xticklabels(keys, rotation=45)
|
||||
fig.set_tight_layout(True)
|
||||
fig.set_size_inches(len(plot_data) / 1.5, 8)
|
||||
|
||||
ax2 = ax1.twinx()
|
||||
|
||||
# Normalize
|
||||
if normalize:
|
||||
total_times_std /= np.sum(total_times)
|
||||
total_times /= np.sum(total_times)
|
||||
total_energies_std /= np.sum(total_energies)
|
||||
total_energies /= np.sum(total_energies)
|
||||
ax1.set_ylabel('Time (Normalized)')
|
||||
ax2.set_ylabel('Energy (Normalized)')
|
||||
else:
|
||||
# set time in us instead of ns
|
||||
total_times_std /= np.array(1000000.0)
|
||||
total_times /= np.array(1000000.0)
|
||||
total_energies_std /= np.array(1000000.0)
|
||||
total_energies /= np.array(1000000.0)
|
||||
ax1.set_ylabel('Time (ms)')
|
||||
ax2.set_ylabel('Energy (Joules)')
|
||||
|
||||
rects1 = ax1.bar(ind, total_times, width, color='r', yerr=total_times_std)
|
||||
rects2 = ax2.bar(ind + width, total_energies, width, color='y', yerr=total_energies_std)
|
||||
ax1.legend([rects1[0], rects2[0]], ['Time', 'Energy'])
|
||||
|
||||
# set axis
|
||||
x1, x2, y1, y2 = plt.axis()
|
||||
if normalize:
|
||||
ax1.set_ylim(ymin=0, ymax=1)
|
||||
ax2.set_ylim(ymin=0, ymax=1)
|
||||
else:
|
||||
ax1.set_ylim(ymin=0, ymax=((max_time + max_time_std) * 1.25 / 1000000.0))
|
||||
ax2.set_ylim(ymin=0, ymax=((max_energy + max_energy_std) * 1.25 / 1000000.0))
|
||||
|
||||
autolabel(rects1, ax1)
|
||||
autolabel(rects2, ax2)
|
||||
|
||||
# plt.show()
|
||||
plt.savefig(path.join(output_dir, config + ".png"))
|
||||
plt.close(fig)
|
||||
|
||||
|
||||
def create_raw_total_data(config_data):
|
||||
"""Get the raw data to plot for a configuration
|
||||
Return: [(profiler, time_mean, time_stddev, energy_mean, energy_stddev)]
|
||||
|
||||
Keyword arguments:
|
||||
config_data -- (trial, trial_data)
|
||||
"""
|
||||
# We can't assume that the same number of heartbeats are always issued across trials
|
||||
# key: profiler name; value: list of timing sums for each trial
|
||||
profiler_total_times = {}
|
||||
# key: profiler name; value: list of energy sums for each trial
|
||||
profiler_total_energies = {}
|
||||
for (t, td) in config_data:
|
||||
for (profiler, ts, te, es, ee) in td:
|
||||
# sum the total times and energies for each profiler in this trial
|
||||
total_time = np.sum(te - ts)
|
||||
total_energy = np.sum(ee - es)
|
||||
# add to list to be averaged later
|
||||
time_list = profiler_total_times.get(profiler, [])
|
||||
time_list.append(total_time)
|
||||
profiler_total_times[profiler] = time_list
|
||||
energy_list = profiler_total_energies.get(profiler, [])
|
||||
energy_list.append(total_energy)
|
||||
profiler_total_energies[profiler] = energy_list
|
||||
|
||||
# Get mean and stddev for time and energy totals
|
||||
return [(profiler,
|
||||
np.mean(profiler_total_times[profiler]),
|
||||
np.std(profiler_total_times[profiler]),
|
||||
np.mean(profiler_total_energies[profiler]),
|
||||
np.std(profiler_total_energies[profiler]))
|
||||
for profiler in profiler_total_times.keys()]
|
||||
|
||||
|
||||
def plot_all_raw_totals(config_list, output_dir):
|
||||
"""Plot column charts of the raw total time/energy spent in each profiler category.
|
||||
|
||||
Keyword arguments:
|
||||
config_list -- [(config, result of process_config_dir(...))]
|
||||
output_dir -- where to write plots to
|
||||
"""
|
||||
raw_total_norm_out_dir = path.join(output_dir, 'raw_totals_normalized')
|
||||
os.makedirs(raw_total_norm_out_dir)
|
||||
raw_total_out_dir = path.join(output_dir, 'raw_totals')
|
||||
os.makedirs(raw_total_out_dir)
|
||||
|
||||
# (name, (profiler, (time_mean, time_stddev, energy_mean, energy_stddev)))
|
||||
raw_totals_data = [(config, create_raw_total_data(config_data)) for (config, config_data) in config_list]
|
||||
|
||||
mean_times = []
|
||||
mean_times_std = []
|
||||
mean_energies = []
|
||||
mean_energies_std = []
|
||||
for profiler_tup in [config_tup[1] for config_tup in raw_totals_data]:
|
||||
for (p, tt, tts, te, tes) in profiler_tup:
|
||||
mean_times.append(tt)
|
||||
mean_times_std.append(tts)
|
||||
mean_energies.append(te)
|
||||
mean_energies_std.append(tes)
|
||||
# get consistent max time/energy values across plots
|
||||
max_t = np.max(mean_times)
|
||||
max_t_std = np.max(mean_times_std)
|
||||
max_e = np.max(mean_energies)
|
||||
max_e_std = np.max(mean_energies_std)
|
||||
[plot_raw_totals(data[0], data[1], max_t, max_t_std, max_e, max_e_std, raw_total_norm_out_dir, True)
|
||||
for data in raw_totals_data]
|
||||
[plot_raw_totals(data[0], data[1], max_t, max_t_std, max_e, max_e_std, raw_total_out_dir, False)
|
||||
for data in raw_totals_data]
|
||||
|
||||
|
||||
def plot_trial_time_series(config, trial, trial_data, max_end_time, max_power, output_dir):
|
||||
"""Plot time series for a single trial.
|
||||
|
||||
Keyword arguments:
|
||||
config -- the config name
|
||||
trial -- the trial name
|
||||
trial_data -- [(profiler, [start times], [end times], [start energies], [end energies])]
|
||||
max_end_time -- single value to use as max X axis value (for consistency across trials)
|
||||
output_dir -- the output directory
|
||||
"""
|
||||
# TODO: Some profilers may have parallel tasks - need to identify this on plots
|
||||
max_end_time = max_end_time / 1000000.0
|
||||
trial_data = sorted(trial_data)
|
||||
fig, ax1 = plt.subplots()
|
||||
keys = [p for (p, ts, te, es, ee) in trial_data]
|
||||
# add some text for labels, title and axes ticks
|
||||
ax1.set_title('Profiler Activity for ' + config + ', ' + trial)
|
||||
ax1.set_xlabel('Time (ms)')
|
||||
ax1.grid(True)
|
||||
width = 8 # the width of the bars
|
||||
ax1.set_yticks(10 * np.arange(1, len(keys) + 2))
|
||||
ax1.set_yticklabels(keys)
|
||||
ax1.set_ylim(ymin=0, ymax=((len(trial_data) + 1) * 10))
|
||||
ax1.set_xlim(xmin=0, xmax=max_end_time)
|
||||
fig.set_tight_layout(True)
|
||||
fig.set_size_inches(16, len(trial_data) / 3)
|
||||
|
||||
i = 10
|
||||
for (p, ts, te, es, ee) in trial_data:
|
||||
xranges = [(ts[j] / 1000000.0, (te[j] - ts[j]) / 1000000.0) for j in six.moves.xrange(len(ts))]
|
||||
ax1.broken_barh(xranges, (i - 0.5 * width, width))
|
||||
i += 10
|
||||
# place a vbar at the final time for this trial
|
||||
last_profiler_times = map(np.nanmax, filter(lambda x: len(x) > 0, [te for (p, ts, te, es, ee) in trial_data]))
|
||||
plt.axvline(np.max(last_profiler_times) / 1000000.0, color='black')
|
||||
|
||||
power_times = []
|
||||
power_values = []
|
||||
for (p, ts, te, es, ee) in trial_data:
|
||||
if p == ENERGY_PROFILER_NAME:
|
||||
power_times = te / 1000000.0
|
||||
power_values = (ee - es) / ((te - ts) / 1000.0)
|
||||
ax2 = ax1.twinx()
|
||||
ax2.set_xlim(xmin=0, xmax=max_end_time)
|
||||
ax2.set_ylim(ymin=0, ymax=max_power)
|
||||
ax2.set_ylabel('Power (Watts)')
|
||||
ax2.plot(power_times, power_values, color='r')
|
||||
|
||||
# plt.show()
|
||||
plt.savefig(path.join(output_dir, "ts_" + config + "_" + trial + ".png"))
|
||||
plt.close(fig)
|
||||
|
||||
|
||||
def hb_energy_times_to_power(es, ee, ts, te):
|
||||
"""Compute power from start and end energy and times.
|
||||
Return: power values
|
||||
"""
|
||||
return (ee - es) / ((te - ts) / 1000.0)
|
||||
|
||||
|
||||
def plot_all_time_series(config_list, output_dir):
|
||||
"""Plot column charts of the raw total time/energy spent in each profiler category.
|
||||
|
||||
Keyword arguments:
|
||||
config_list -- [(config, result of process_config_dir(...))]
|
||||
output_dir -- where to write plots to
|
||||
"""
|
||||
time_series_out_dir = path.join(output_dir, 'time_series')
|
||||
os.makedirs(time_series_out_dir)
|
||||
|
||||
max_end_times = []
|
||||
max_power_values = []
|
||||
for (c, cd) in config_list:
|
||||
for (t, td) in cd:
|
||||
trial_max_end_times = map(np.nanmax, filter(lambda x: len(x) > 0, [te for (p, ts, te, es, ee) in td]))
|
||||
max_end_times.append(np.nanmax(trial_max_end_times))
|
||||
for (p, ts, te, es, ee) in td:
|
||||
# We only care about the energy profiler (others aren't reliable for instant power anyway)
|
||||
if p == ENERGY_PROFILER_NAME and len(te) > 0:
|
||||
max_power_values.append(np.nanmax(hb_energy_times_to_power(es, ee, ts, te)))
|
||||
max_time = np.nanmax(max_end_times)
|
||||
max_power = np.nanmax(np.array(max_power_values)) * 1.2 # leave a little space at the top
|
||||
|
||||
for (config, config_data) in config_list:
|
||||
[plot_trial_time_series(config, trial, trial_data, max_time, max_power, time_series_out_dir)
|
||||
for (trial, trial_data) in config_data]
|
||||
|
||||
|
||||
def read_heartbeat_log(profiler_hb_log):
|
||||
"""Read a heartbeat log file.
|
||||
Return: (profiler name, [start times], [end times], [start energies], [end energies], [instant powers])
|
||||
|
||||
Keyword arguments:
|
||||
profiler_hb_log -- the file to read
|
||||
"""
|
||||
with warnings.catch_warnings():
|
||||
try:
|
||||
warnings.simplefilter("ignore")
|
||||
time_start, time_end, energy_start, energy_end = \
|
||||
np.loadtxt(profiler_hb_log,
|
||||
dtype=np.dtype('uint64'),
|
||||
skiprows=1,
|
||||
usecols=(HB_LOG_IDX_START_TIME,
|
||||
HB_LOG_IDX_END_TIME,
|
||||
HB_LOG_IDX_START_ENERGY,
|
||||
HB_LOG_IDX_END_ENERGY),
|
||||
unpack=True,
|
||||
ndmin=1)
|
||||
except ValueError:
|
||||
time_start, time_end, energy_start, energy_end = [], [], [], []
|
||||
name = path.split(profiler_hb_log)[1].split('-')[1].split('.')[0]
|
||||
return (name,
|
||||
np.atleast_1d(time_start),
|
||||
np.atleast_1d(time_end),
|
||||
np.atleast_1d(energy_start),
|
||||
np.atleast_1d(energy_end))
|
||||
|
||||
|
||||
def process_trial_dir(trial_dir):
|
||||
"""Process trial directory.
|
||||
Return: [(profiler name, [start times], [end times], [start energies], [end energies])]
|
||||
Time and energy are normalized to 0 start values.
|
||||
|
||||
Keyword arguments:
|
||||
trial_dir -- the directory for this trial
|
||||
"""
|
||||
log_data = map(lambda h: read_heartbeat_log(path.join(trial_dir, h)),
|
||||
filter(lambda f: f.endswith(".log"), os.listdir(trial_dir)))
|
||||
|
||||
# Find the earliest timestamps and energy readings
|
||||
min_t = np.nanmin(map(np.nanmin, filter(lambda x: len(x) > 0, [ts for (profiler, ts, te, es, ee) in log_data])))
|
||||
min_e = np.nanmin(map(np.nanmin, filter(lambda x: len(x) > 0, [es for (profiler, ts, te, es, ee) in log_data])))
|
||||
|
||||
# Normalize timing/energy data to start values of 0
|
||||
return [(profiler, ts - min_t, te - min_t, es - min_e, ee - min_e) for (profiler, ts, te, es, ee) in log_data]
|
||||
|
||||
|
||||
def process_config_dir(config_dir):
|
||||
"""Process a configuration directory.
|
||||
Return: [(trial, [(profiler name, [start times], [end times], [start energies], [end energies])])]
|
||||
|
||||
Keyword arguments:
|
||||
config_dir -- the directory for this configuration - contains subdirectories for each trial
|
||||
"""
|
||||
return [(trial_dir, process_trial_dir(path.join(config_dir, trial_dir))) for trial_dir in os.listdir(config_dir)]
|
||||
|
||||
|
||||
def process_logs(log_dir):
|
||||
"""Process log directory.
|
||||
Return: [(config, [(trial, [(profiler name, [start times], [end times], [start energies], [end energies])])])]
|
||||
|
||||
Keyword arguments:
|
||||
log_dir -- the log directory to process - contains subdirectories for each configuration
|
||||
"""
|
||||
return [((config_dir.split('_')[1], process_config_dir(path.join(log_dir, config_dir))))
|
||||
for config_dir in os.listdir(log_dir)]
|
||||
|
||||
|
||||
def find_best_executions(log_dir):
|
||||
"""Get the best time, energy, and power from the characterization summaries.
|
||||
Return: ((config, trial, min_time), (config, trial, min_energy), (config, trial, min_power))
|
||||
|
||||
Keyword arguments:
|
||||
results -- the results from process_logs(...).
|
||||
"""
|
||||
DEFAULT = ('', '', 1000000000.0)
|
||||
min_time = DEFAULT
|
||||
min_energy = DEFAULT
|
||||
min_power = DEFAULT
|
||||
for config_dir in os.listdir(log_dir):
|
||||
for trial_dir in os.listdir(path.join(log_dir, config_dir)):
|
||||
with open(path.join(log_dir, config_dir, trial_dir, SUMMARY_OUTPUT), "r") as s:
|
||||
lines = s.readlines()
|
||||
time = float(lines[SUMMARY_TIME_IDX].split(':')[1])
|
||||
energy = int(lines[SUMMARY_ENERGY_IDX].split(':')[1])
|
||||
power = float(lines[SUMMARY_POWER_IDX].split(':')[1])
|
||||
if time < min_time[2]:
|
||||
min_time = (config_dir, trial_dir, time)
|
||||
if energy < min_energy[2]:
|
||||
min_energy = (config_dir, trial_dir, energy)
|
||||
if power < min_power:
|
||||
min_power = (config_dir, trial_dir, power)
|
||||
return (min_time, min_energy, min_power)
|
||||
|
||||
|
||||
def main():
|
||||
"""This script processes the log files from the "characterize.py" script and produces visualizations.
|
||||
"""
|
||||
# Default log directory
|
||||
directory = 'heartbeat_logs'
|
||||
# Default output directory
|
||||
output_dir = 'plots'
|
||||
# Default android
|
||||
android = False
|
||||
|
||||
# Parsing the input of the script
|
||||
parser = argparse.ArgumentParser(description="Process Heartbeat log files from characterization")
|
||||
parser.add_argument("-d", "--directory",
|
||||
default=directory,
|
||||
help="Heartbeat log directory \"-d heartbeat_logs\"")
|
||||
parser.add_argument("-o", "--output",
|
||||
default=output_dir,
|
||||
help="Specify the log output directory, for example \"-o plots\"")
|
||||
parser.add_argument("--android",
|
||||
action="store_true",
|
||||
dest="android",
|
||||
default=False,
|
||||
help="Specify if processing results from Android")
|
||||
|
||||
args = parser.parse_args()
|
||||
if args.directory:
|
||||
directory = args.directory
|
||||
if args.output:
|
||||
output_dir = args.output
|
||||
if args.android:
|
||||
android = args.android
|
||||
|
||||
if not os.path.exists(directory):
|
||||
print("Input directory does not exist: " + directory)
|
||||
sys.exit(1)
|
||||
|
||||
if os.path.exists(output_dir):
|
||||
print("Output directory already exists: " + output_dir)
|
||||
sys.exit(1)
|
||||
|
||||
res = process_logs(directory)
|
||||
|
||||
if not android:
|
||||
best = find_best_executions(directory)
|
||||
print('Best time:', best[0])
|
||||
print('Best energy:', best[1])
|
||||
print('Best power:', best[2])
|
||||
|
||||
os.makedirs(output_dir)
|
||||
plot_all_raw_totals(res, output_dir)
|
||||
plot_all_time_series(res, output_dir)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -12,7 +12,7 @@ use std::time::Duration;
|
|||
|
||||
#[test]
|
||||
fn time_profiler_smoke_test() {
|
||||
let chan = time::Profiler::create(&None, None, false);
|
||||
let chan = time::Profiler::create(&None, None);
|
||||
assert!(true, "Can create the profiler thread");
|
||||
|
||||
let (ipcchan, _ipcport) = ipc::channel().unwrap();
|
||||
|
|
@ -45,7 +45,7 @@ fn time_profiler_stats_test() {
|
|||
|
||||
#[test]
|
||||
fn channel_profiler_test() {
|
||||
let chan = time::Profiler::create(&Some(OutputOptions::Stdout(5.0)), None, false);
|
||||
let chan = time::Profiler::create(&Some(OutputOptions::Stdout(5.0)), None);
|
||||
let (profiled_sender, profiled_receiver) = ProfiledIpc::channel(chan.clone()).unwrap();
|
||||
thread::spawn(move || {
|
||||
thread::sleep(Duration::from_secs(2));
|
||||
|
|
@ -70,7 +70,7 @@ fn channel_profiler_test() {
|
|||
|
||||
#[test]
|
||||
fn bytes_channel_profiler_test() {
|
||||
let chan = time::Profiler::create(&Some(OutputOptions::Stdout(5.0)), None, false);
|
||||
let chan = time::Profiler::create(&Some(OutputOptions::Stdout(5.0)), None);
|
||||
let (profiled_sender, profiled_receiver) = ProfiledIpc::bytes_channel(chan.clone()).unwrap();
|
||||
thread::spawn(move || {
|
||||
thread::sleep(Duration::from_secs(2));
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue