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selftests/damon: implement DAMOS tried regions test

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Implement a test for DAMOS tried regions command of DAMON sysfs interface.
It ensures the expected number of monitoring regions are created using an
artificial memory access pattern generator program.

Link: https://lkml.kernel.org/r/20240625180538.73134-5-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Shuah Khan <shuah@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
This commit is contained in:
SeongJae Park 2024-06-25 11:05:34 -07:00 committed by Andrew Morton
parent c94df805c7
commit c9a3003a35
2 changed files with 66 additions and 0 deletions
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1
tools/testing/selftests/damon/Makefile
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@ -13,6 +13,7 @@ TEST_PROGS = debugfs_attrs.sh debugfs_schemes.sh debugfs_target_ids.sh
TEST_PROGS += sysfs.sh
TEST_PROGS += sysfs_update_schemes_tried_regions_wss_estimation.py
TEST_PROGS += damos_quota.py damos_quota_goal.py damos_apply_interval.py
TEST_PROGS += damos_tried_regions.py
TEST_PROGS += reclaim.sh lru_sort.sh
# regression tests (reproducers of previously found bugs)

65
tools/testing/selftests/damon/damos_tried_regions.py Normal file
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@ -0,0 +1,65 @@
#!/usr/bin/env python3
# SPDX-License-Identifier: GPL-2.0
import subprocess
import time
import _damon_sysfs
def main():
# repeatedly access even-numbered ones in 14 regions of 10 MiB size
sz_region = 10 * 1024 * 1024
proc = subprocess.Popen(['./access_memory_even', '14', '%d' % sz_region])
# stat every monitored regions
kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond(
contexts=[_damon_sysfs.DamonCtx(
ops='vaddr',
targets=[_damon_sysfs.DamonTarget(pid=proc.pid)],
schemes=[_damon_sysfs.Damos(action='stat',
)] # schemes
)] # contexts
)]) # kdamonds
err = kdamonds.start()
if err is not None:
proc.terminate()
print('kdamond start failed: %s' % err)
exit(1)
collected_nr_regions = []
while proc.poll() is None:
time.sleep(0.1)
err = kdamonds.kdamonds[0].update_schemes_tried_regions()
if err is not None:
proc.terminate()
print('tried regions update failed: %s' % err)
exit(1)
scheme = kdamonds.kdamonds[0].contexts[0].schemes[0]
if scheme.tried_regions is None:
proc.terminate()
print('tried regions is not collected')
exit(1)
nr_tried_regions = len(scheme.tried_regions)
if nr_tried_regions <= 0:
proc.terminate()
print('tried regions is not created')
exit(1)
collected_nr_regions.append(nr_tried_regions)
if len(collected_nr_regions) > 10:
break
proc.terminate()
collected_nr_regions.sort()
sample = collected_nr_regions[4]
print('50-th percentile nr_regions: %d' % sample)
print('expectation (>= 14) is %s' % 'met' if sample >= 14 else 'not met')
if collected_nr_regions[4] < 14:
print('full nr_regions:')
print('\n'.join(collected_nr_regions))
exit(1)
if __name__ == '__main__':
main()