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benchtests: include --stats parameter

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Allows user to pick a statistic, defaulting to min and mean, from command
line. At the same time, if stat does not exit, catch the run-time exception
and keep comparing the rest of benchmarked functions. Finally, take care of
division-by-zero exceptions and as the latter, keep comparing the rest of the
functions, turning the script a bit more fault tolerant thus useful.

	* benchtests/scripts/compare_bench.py (do_compare): Catch KeyError and
    ZeroDivisorError exceptions.
	* benchtests/scripts/compare_bench.py (compare_runs): Use stats argument to
    loop through user provided statistics.
	* benchtests/scripts/compare_bench.py (main): Include the --stats argument.
This commit is contained in:
Leonardo Sandoval 2018-12-10 15:15:34 -06:00
parent 587426d499
commit 1990185f5f
2 changed files with 27 additions and 9 deletions
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9
ChangeLog
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@ -1,3 +1,12 @@
2018-12-12 Leonardo Sandoval <leonardo.sandoval.gonzalez@intel.com>
* benchtests/scripts/compare_bench.py (do_compare): Catch KeyError
and ZeroDivisorError exceptions.
* benchtests/scripts/compare_bench.py (compare_runs): Use stats
argument to loop through user provided statistics.
* benchtests/scripts/compare_bench.py (main): Include the --stats
argument.
2018-12-12 Leonardo Sandoval <leonardo.sandoval.gonzalez@intel.com>
* benchtests/scripts/compare_bench.py (compare_runs): Continue

27
benchtests/scripts/compare_bench.py
View File

@ -42,17 +42,25 @@ def do_compare(func, var, tl1, tl2, par, threshold):
threshold: The threshold for differences, beyond which the script should
print a warning.
"""
d = abs(tl2[par] - tl1[par]) * 100 / tl1[str(par)]
try:
v1 = tl1[str(par)]
v2 = tl2[str(par)]
d = abs(v2 - v1) * 100 / v1
except KeyError:
return
except ZeroDivisionError:
return
if d > threshold:
if tl1[par] > tl2[par]:
if v1 > v2:
ind = '+++'
else:
ind = '---'
print('%s %s(%s)[%s]: (%.2lf%%) from %g to %g' %
(ind, func, var, par, d, tl1[par], tl2[par]))
(ind, func, var, par, d, v1, v2))
def compare_runs(pts1, pts2, threshold):
def compare_runs(pts1, pts2, threshold, stats):
"""Compare two benchmark runs
Args:
@ -70,8 +78,8 @@ def compare_runs(pts1, pts2, threshold):
# Compare the consolidated numbers
# do_compare(func, var, tl1, tl2, 'max', threshold)
do_compare(func, var, tl1, tl2, 'min', threshold)
do_compare(func, var, tl1, tl2, 'mean', threshold)
for stat in stats.split():
do_compare(func, var, tl1, tl2, stat, threshold)
# Skip over to the next variant or function if there is no detailed
# timing info for the function variant.
@ -152,7 +160,7 @@ def plot_graphs(bench1, bench2):
print('Writing out %s' % filename)
pylab.savefig(filename)
def main(bench1, bench2, schema, threshold):
def main(bench1, bench2, schema, threshold, stats):
bench1 = bench.parse_bench(bench1, schema)
bench2 = bench.parse_bench(bench2, schema)
@ -161,7 +169,7 @@ def main(bench1, bench2, schema, threshold):
bench.compress_timings(bench1)
bench.compress_timings(bench2)
compare_runs(bench1, bench2, threshold)
compare_runs(bench1, bench2, threshold, stats)
if __name__ == '__main__':
@ -176,7 +184,8 @@ if __name__ == '__main__':
default=os.path.join(os.path.dirname(os.path.realpath(__file__)),'benchout.schema.json'),
help='JSON file to validate source/dest files (default: %(default)s)')
parser.add_argument('--threshold', default=10.0, type=float, help='Only print those with equal or higher threshold (default: %(default)s)')
parser.add_argument('--stats', default='min mean', type=str, help='Only consider values from the statistics specified as a space separated list (default: %(default)s)')
args = parser.parse_args()
main(args.bench1, args.bench2, args.schema, args.threshold)
main(args.bench1, args.bench2, args.schema, args.threshold, args.stats)