197 lines
7.4 KiB
Python
Executable File
197 lines
7.4 KiB
Python
Executable File
#!/usr/bin/python
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# Copyright (C) 2015-2022 Free Software Foundation, Inc.
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# This file is part of the GNU C Library.
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#
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# The GNU C Library is free software; you can redistribute it and/or
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# modify it under the terms of the GNU Lesser General Public
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# License as published by the Free Software Foundation; either
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# version 2.1 of the License, or (at your option) any later version.
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#
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# The GNU C Library is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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# Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with the GNU C Library; if not, see
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# <https://www.gnu.org/licenses/>.
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"""Compare two benchmark results
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Given two benchmark result files and a threshold, this script compares the
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benchmark results and flags differences in performance beyond a given
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threshold.
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"""
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import sys
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import os
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import pylab
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import import_bench as bench
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import argparse
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def do_compare(func, var, tl1, tl2, par, threshold):
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"""Compare one of the aggregate measurements
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Helper function to compare one of the aggregate measurements of a function
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variant.
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Args:
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func: Function name
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var: Function variant name
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tl1: The first timings list
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tl2: The second timings list
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par: The aggregate to measure
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threshold: The threshold for differences, beyond which the script should
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print a warning.
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"""
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try:
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v1 = tl1[str(par)]
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v2 = tl2[str(par)]
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d = abs(v2 - v1) * 100 / v1
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except KeyError:
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sys.stderr.write('%s(%s)[%s]: stat does not exist\n' % (func, var, par))
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return
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except ZeroDivisionError:
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return
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if d > threshold:
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if v1 > v2:
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ind = '+++'
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else:
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ind = '---'
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print('%s %s(%s)[%s]: (%.2lf%%) from %g to %g' %
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(ind, func, var, par, d, v1, v2))
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def compare_runs(pts1, pts2, threshold, stats):
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"""Compare two benchmark runs
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Args:
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pts1: Timing data from first machine
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pts2: Timing data from second machine
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"""
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# XXX We assume that the two benchmarks have identical functions and
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# variants. We cannot compare two benchmarks that may have different
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# functions or variants. Maybe that is something for the future.
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for func in pts1['functions'].keys():
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for var in pts1['functions'][func].keys():
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tl1 = pts1['functions'][func][var]
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tl2 = pts2['functions'][func][var]
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# Compare the consolidated numbers
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# do_compare(func, var, tl1, tl2, 'max', threshold)
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for stat in stats.split():
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do_compare(func, var, tl1, tl2, stat, threshold)
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# Skip over to the next variant or function if there is no detailed
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# timing info for the function variant.
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if 'timings' not in pts1['functions'][func][var].keys() or \
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'timings' not in pts2['functions'][func][var].keys():
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continue
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# If two lists do not have the same length then it is likely that
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# the performance characteristics of the function have changed.
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# XXX: It is also likely that there was some measurement that
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# strayed outside the usual range. Such ouiers should not
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# happen on an idle machine with identical hardware and
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# configuration, but ideal environments are hard to come by.
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if len(tl1['timings']) != len(tl2['timings']):
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print('* %s(%s): Timing characteristics changed' %
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(func, var))
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print('\tBefore: [%s]' %
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', '.join([str(x) for x in tl1['timings']]))
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print('\tAfter: [%s]' %
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', '.join([str(x) for x in tl2['timings']]))
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continue
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# Collect numbers whose differences cross the threshold we have
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# set.
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issues = [(x, y) for x, y in zip(tl1['timings'], tl2['timings']) \
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if abs(y - x) * 100 / x > threshold]
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# Now print them.
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for t1, t2 in issues:
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d = abs(t2 - t1) * 100 / t1
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if t2 > t1:
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ind = '-'
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else:
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ind = '+'
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print("%s %s(%s): (%.2lf%%) from %g to %g" %
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(ind, func, var, d, t1, t2))
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def plot_graphs(bench1, bench2):
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"""Plot graphs for functions
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Make scatter plots for the functions and their variants.
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Args:
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bench1: Set of points from the first machine
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bench2: Set of points from the second machine.
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"""
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for func in bench1['functions'].keys():
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for var in bench1['functions'][func].keys():
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# No point trying to print a graph if there are no detailed
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# timings.
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if u'timings' not in bench1['functions'][func][var].keys():
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sys.stderr.write('Skipping graph for %s(%s)\n' % (func, var))
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continue
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pylab.clf()
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pylab.ylabel('Time (cycles)')
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# First set of points
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length = len(bench1['functions'][func][var]['timings'])
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X = [float(x) for x in range(length)]
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lines = pylab.scatter(X, bench1['functions'][func][var]['timings'],
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1.5 + 100 / length)
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pylab.setp(lines, 'color', 'r')
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# Second set of points
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length = len(bench2['functions'][func][var]['timings'])
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X = [float(x) for x in range(length)]
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lines = pylab.scatter(X, bench2['functions'][func][var]['timings'],
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1.5 + 100 / length)
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pylab.setp(lines, 'color', 'g')
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if var:
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filename = "%s-%s.png" % (func, var)
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else:
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filename = "%s.png" % func
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sys.stderr.write('Writing out %s' % filename)
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pylab.savefig(filename)
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def main(bench1, bench2, schema, threshold, stats):
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bench1 = bench.parse_bench(bench1, schema)
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bench.do_for_all_timings(bench1, lambda b, f, v:
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b['functions'][f][v]['timings'].sort())
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bench2 = bench.parse_bench(bench2, schema)
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bench.do_for_all_timings(bench2, lambda b, f, v:
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b['functions'][f][v]['timings'].sort())
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plot_graphs(bench1, bench2)
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bench.compress_timings(bench1)
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bench.compress_timings(bench2)
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compare_runs(bench1, bench2, threshold, stats)
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='Take two benchmark and compare their timings.')
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# Required parameters
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parser.add_argument('bench1', help='First bench to compare')
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parser.add_argument('bench2', help='Second bench to compare')
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# Optional parameters
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parser.add_argument('--schema',
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default=os.path.join(os.path.dirname(os.path.realpath(__file__)),'benchout.schema.json'),
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help='JSON file to validate source/dest files (default: %(default)s)')
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parser.add_argument('--threshold', default=10.0, type=float, help='Only print those with equal or higher threshold (default: %(default)s)')
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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)')
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args = parser.parse_args()
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main(args.bench1, args.bench2, args.schema, args.threshold, args.stats)
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