scripts/analyse-locks-simpletrace.py

   1 #!/usr/bin/env python3
   2 # -*- coding: utf-8 -*-
   3 #
   4 # Analyse lock events and compute statistics
   5 #
   6 # Author: Alex Bennée <alex.bennee@linaro.org>
   7 #
   8
   9 import simpletrace
  10 import argparse
  11 import numpy as np
  12
  13 class MutexAnalyser(simpletrace.Analyzer):
  14     "A simpletrace Analyser for checking locks."
  15
  16     def __init__(self):
  17         self.locks = 0
  18         self.locked = 0
  19         self.unlocks = 0
  20         self.mutex_records = {}
  21
  22     def _get_mutex(self, mutex):
  23         if not mutex in self.mutex_records:
  24             self.mutex_records[mutex] = {"locks": 0,
  25                                          "lock_time": 0,
  26                                          "acquire_times": [],
  27                                          "locked": 0,
  28                                          "locked_time": 0,
  29                                          "held_times": [],
  30                                          "unlocked": 0}
  31
  32         return self.mutex_records[mutex]
  33
  34     def qemu_mutex_lock(self, timestamp, mutex, filename, line):
  35         self.locks += 1
  36         rec = self._get_mutex(mutex)
  37         rec["locks"] += 1
  38         rec["lock_time"] = timestamp[0]
  39         rec["lock_loc"] = (filename, line)
  40
  41     def qemu_mutex_locked(self, timestamp, mutex, filename, line):
  42         self.locked += 1
  43         rec = self._get_mutex(mutex)
  44         rec["locked"] += 1
  45         rec["locked_time"] = timestamp[0]
  46         acquire_time = rec["locked_time"] - rec["lock_time"]
  47         rec["locked_loc"] = (filename, line)
  48         rec["acquire_times"].append(acquire_time)
  49
  50     def qemu_mutex_unlock(self, timestamp, mutex, filename, line):
  51         self.unlocks += 1
  52         rec = self._get_mutex(mutex)
  53         rec["unlocked"] += 1
  54         held_time = timestamp[0] - rec["locked_time"]
  55         rec["held_times"].append(held_time)
  56         rec["unlock_loc"] = (filename, line)
  57
  58
  59 def get_args():
  60     "Grab options"
  61     parser = argparse.ArgumentParser()
  62     parser.add_argument("--output", "-o", type=str, help="Render plot to file")
  63     parser.add_argument("events", type=str, help='trace file read from')
  64     parser.add_argument("tracefile", type=str, help='trace file read from')
  65     return parser.parse_args()
  66
  67 if __name__ == '__main__':
  68     args = get_args()
  69
  70     # Gather data from the trace
  71     analyser = MutexAnalyser()
  72     simpletrace.process(args.events, args.tracefile, analyser)
  73
  74     print ("Total locks: %d, locked: %d, unlocked: %d" %
  75            (analyser.locks, analyser.locked, analyser.unlocks))
  76
  77     # Now dump the individual lock stats
  78     for key, val in sorted(analyser.mutex_records.iteritems(),
  79                            key=lambda k_v: k_v[1]["locks"]):
  80         print ("Lock: %#x locks: %d, locked: %d, unlocked: %d" %
  81                (key, val["locks"], val["locked"], val["unlocked"]))
  82
  83         acquire_times = np.array(val["acquire_times"])
  84         if len(acquire_times) > 0:
  85             print ("  Acquire Time: min:%d median:%d avg:%.2f max:%d" %
  86                    (acquire_times.min(), np.median(acquire_times),
  87                     acquire_times.mean(), acquire_times.max()))
  88
  89         held_times = np.array(val["held_times"])
  90         if len(held_times) > 0:
  91             print ("  Held Time: min:%d median:%d avg:%.2f max:%d" %
  92                    (held_times.min(), np.median(held_times),
  93                     held_times.mean(), held_times.max()))
  94
  95         # Check if any locks still held
  96         if val["locks"] > val["locked"]:
  97             print ("  LOCK HELD (%s:%s)" % (val["locked_loc"]))
  98             print ("  BLOCKED   (%s:%s)" % (val["lock_loc"]))