Greg Kroah-Hartman
598cf27219
Link: https://lore.kernel.org/r/20260217200002.683975158@linuxfoundation.org Tested-by: Florian Fainelli <florian.fainelli@broadcom.com> Tested-by: Takeshi Ogasawara <takeshi.ogasawara@futuring-girl.com> Tested-by: Peter Schneider <pschneider1968@googlemail.com> Tested-by: Jon Hunter <jonathanh@nvidia.com> Tested-by: Salvatore Bonaccorso <carnil@debian.org> Tested-by: Brett A C Sheffield <bacs@librecast.net> Tested-by: Mark Brown <broonie@kernel.org> Tested-by: Luna Jernberg <droidbittin@gmail.com> Tested-by: Ronald Warsow <rwarsow@gmx.de> Tested-by: Justin M. Forbes <jforbes@fedoraproject.org> Tested-by: Ron Economos <re@w6rz.net> Tested-by: Miguel Ojeda <ojeda@kernel.org> Signed-off-by: Greg Kroah-Hartman <gregkh@linuxfoundation.org>
68 lines
2.5 KiB
Python
Executable File
68 lines
2.5 KiB
Python
Executable File
#!/usr/bin/env python3
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# SPDX-License-Identifier: GPL-2.0
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import subprocess
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import time
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import _damon_sysfs
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def main():
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# access two 10 MiB memory regions, 2 second per each
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sz_region = 10 * 1024 * 1024
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proc = subprocess.Popen(['./access_memory', '2', '%d' % sz_region, '2000'])
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# Set quota up to 1 MiB per 100 ms
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kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond(
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contexts=[_damon_sysfs.DamonCtx(
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ops='vaddr',
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targets=[_damon_sysfs.DamonTarget(pid=proc.pid)],
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schemes=[
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_damon_sysfs.Damos(
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access_pattern=_damon_sysfs.DamosAccessPattern(
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# >= 25% access rate, >= 200ms age
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nr_accesses=[5, 20], age=[2, 2**64 - 1]),
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# aggregation interval (100 ms) is used
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apply_interval_us=0),
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# use 10ms apply interval
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_damon_sysfs.Damos(
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access_pattern=_damon_sysfs.DamosAccessPattern(
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# >= 25% access rate, >= 200ms age
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nr_accesses=[5, 20], age=[2, 2**64 - 1]),
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# explicitly set 10 ms apply interval
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apply_interval_us=10 * 1000)
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] # schemes
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)] # contexts
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)]) # kdamonds
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err = kdamonds.start()
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if err != None:
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print('kdamond start failed: %s' % err)
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exit(1)
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wss_collected = []
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nr_quota_exceeds = 0
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while proc.poll() == None:
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time.sleep(0.1)
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err = kdamonds.kdamonds[0].update_schemes_stats()
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if err != None:
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print('stats update failed: %s' % err)
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exit(1)
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schemes = kdamonds.kdamonds[0].contexts[0].schemes
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nr_tried_stats = [s.stats.nr_tried for s in schemes]
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if nr_tried_stats[0] == 0 or nr_tried_stats[1] == 0:
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print('scheme(s) are not tried')
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exit(1)
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# Because the second scheme was having the apply interval that is ten times
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# lower than that of the first scheme, the second scheme should be tried
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# about ten times more frequently than the first scheme. For possible
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# timing errors, check if it was at least nine times more freuqnetly tried.
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ratio = nr_tried_stats[1] / nr_tried_stats[0]
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if ratio < 9:
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print('%d / %d = %f (< 9)' %
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(nr_tried_stats[1], nr_tried_stats[0], ratio))
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exit(1)
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if __name__ == '__main__':
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main()
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