99 lines
3.5 KiB
Python
Executable File
99 lines
3.5 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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#
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# Analyse lock events and compute statistics
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#
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# Author: Alex Bennée <alex.bennee@linaro.org>
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#
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import simpletrace
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import argparse
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import numpy as np
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class MutexAnalyser(simpletrace.Analyzer):
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"A simpletrace Analyser for checking locks."
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def __init__(self):
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self.locks = 0
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self.locked = 0
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self.unlocks = 0
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self.mutex_records = {}
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def _get_mutex(self, mutex):
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if not mutex in self.mutex_records:
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self.mutex_records[mutex] = {"locks": 0,
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"lock_time": 0,
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"acquire_times": [],
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"locked": 0,
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"locked_time": 0,
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"held_times": [],
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"unlocked": 0}
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return self.mutex_records[mutex]
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def qemu_mutex_lock(self, timestamp, mutex, filename, line):
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self.locks += 1
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rec = self._get_mutex(mutex)
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rec["locks"] += 1
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rec["lock_time"] = timestamp[0]
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rec["lock_loc"] = (filename, line)
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def qemu_mutex_locked(self, timestamp, mutex, filename, line):
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self.locked += 1
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rec = self._get_mutex(mutex)
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rec["locked"] += 1
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rec["locked_time"] = timestamp[0]
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acquire_time = rec["locked_time"] - rec["lock_time"]
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rec["locked_loc"] = (filename, line)
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rec["acquire_times"].append(acquire_time)
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def qemu_mutex_unlock(self, timestamp, mutex, filename, line):
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self.unlocks += 1
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rec = self._get_mutex(mutex)
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rec["unlocked"] += 1
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held_time = timestamp[0] - rec["locked_time"]
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rec["held_times"].append(held_time)
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rec["unlock_loc"] = (filename, line)
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def get_args():
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"Grab options"
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parser = argparse.ArgumentParser()
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parser.add_argument("--output", "-o", type=str, help="Render plot to file")
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parser.add_argument("events", type=str, help='trace file read from')
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parser.add_argument("tracefile", type=str, help='trace file read from')
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return parser.parse_args()
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if __name__ == '__main__':
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args = get_args()
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# Gather data from the trace
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analyser = MutexAnalyser()
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simpletrace.process(args.events, args.tracefile, analyser)
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print ("Total locks: %d, locked: %d, unlocked: %d" %
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(analyser.locks, analyser.locked, analyser.unlocks))
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# Now dump the individual lock stats
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for key, val in sorted(analyser.mutex_records.iteritems(),
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key=lambda k_v: k_v[1]["locks"]):
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print ("Lock: %#x locks: %d, locked: %d, unlocked: %d" %
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(key, val["locks"], val["locked"], val["unlocked"]))
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acquire_times = np.array(val["acquire_times"])
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if len(acquire_times) > 0:
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print (" Acquire Time: min:%d median:%d avg:%.2f max:%d" %
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(acquire_times.min(), np.median(acquire_times),
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acquire_times.mean(), acquire_times.max()))
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held_times = np.array(val["held_times"])
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if len(held_times) > 0:
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print (" Held Time: min:%d median:%d avg:%.2f max:%d" %
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(held_times.min(), np.median(held_times),
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held_times.mean(), held_times.max()))
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# Check if any locks still held
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if val["locks"] > val["locked"]:
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print (" LOCK HELD (%s:%s)" % (val["locked_loc"]))
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print (" BLOCKED (%s:%s)" % (val["lock_loc"]))
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