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#! /usr/bin/env python3
# Copyright 2015 ARM Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import argparse
import json
import os
import sys
from collections import OrderedDict
dir_benchs = os.path.dirname(os.path.realpath(__file__))
dir_tools = os.path.join(dir_benchs, '..')
sys.path.insert(0, dir_tools)
import utils
import utils_stats
def BuildOptions():
parser = argparse.ArgumentParser(
description = "Compare two results of the `run.py` script.",
# Print default values.
formatter_class = argparse.ArgumentDefaultsHelpFormatter)
utils.AddCommonCompareOptions(parser)
parser.add_argument('--order-by-diff', '-o',
action = 'store_true', default = False,
help = 'Show results with bigger differences first.')
parser.add_argument('--significant-changes', '-s',
action = 'store_true', default = False,
help = '''Only show significant changes between the two
sets of results.''')
# TODO: The default threshold values below have been calibrated for Nexus9.
# Make sure they are relevant for other platforms.
parser.add_argument('--significant-diff-threshold', '--sdiff',
metavar = 'threshold (%)',
type = float, default = 0.2,
help = '''Results with a difference above this threshold
(in %%) will be included in the list of significant
results.''')
parser.add_argument('--significant-deviation-threshold', '--sdev',
metavar = 'threshold (%)',
type = float, default = 3.0,
help = '''Results with a deviation higher than this
threshold (in %%) will be included in the significant
results even if the difference threshold is not met.''')
parser.add_argument('-f', '--filter', action = 'append',
help='Quoted (benchmark name) filter pattern.')
parser.add_argument('-F', '--filter-out', action = 'append',
help='''Filter out the benchmarks matching this patern
from the results.''')
return parser.parse_args()
# Filter out benchmarks that do not show any significant difference between the
# two set of results.
def FilterSignificantChanges(in_1, in_2, diff_threshold, dev_threshold):
out_1 = {}
out_2 = {}
benchmarks = set(in_1.keys()).intersection(set(in_2.keys()))
for bench in benchmarks:
m1, M1, ave1, d1, dp1 = utils_stats.ComputeStats(in_1[bench])
m2, M2, ave2, d2, dp2 = utils_stats.ComputeStats(in_2[bench])
diff = utils_stats.GetRelativeDiff(ave1, ave2)
if abs(diff) >= diff_threshold \
or dp1 >= dev_threshold \
or dp2 >= dev_threshold:
out_1[bench] = in_1[bench]
out_2[bench] = in_2[bench]
return out_1, out_2
def OrderResultsByDifference(in_1, in_2):
regressions = {}
improvements = {}
regressions_1 = OrderedDict({})
regressions_2 = OrderedDict({})
improvements_1 = OrderedDict({})
improvements_2 = OrderedDict({})
benchmarks = set(in_1.keys()).intersection(set(in_2.keys()))
for bench in benchmarks:
m1, M1, ave1, d1, dp1 = utils_stats.ComputeStats(in_1[bench])
m2, M2, ave2, d2, dp2 = utils_stats.ComputeStats(in_2[bench])
diff = utils_stats.GetRelativeDiff(ave1, ave2)
if diff > 0:
regressions[bench] = diff
else:
improvements[bench] = diff
order_regressions = \
list(bench for bench in \
sorted(regressions, key = lambda x: -abs(regressions[x])))
for bench in order_regressions:
regressions_1[bench] = in_1[bench]
regressions_2[bench] = in_2[bench]
order_improvements = \
list(bench for bench \
in sorted(improvements, key = lambda x: -abs(improvements[x])))
for bench in order_improvements:
improvements_1[bench] = in_1[bench]
improvements_2[bench] = in_2[bench]
return (regressions_1, regressions_2), (improvements_1, improvements_2)
def FilterBenchmarks(benchmarks, filters, filters_out):
# We cannot use dictionary comprehension because need to preserve the order
# of keys.
res = benchmarks
if filters:
tmp = OrderedDict({})
for b in res:
if utils.NameMatchesAnyFilter(b, filters):
tmp[b] = benchmarks[b]
res = tmp
if filters_out:
tmp = OrderedDict({})
for b in res:
if not utils.NameMatchesAnyFilter(b, filters_out):
tmp[b] = res[b]
res = tmp
return res
if __name__ == "__main__":
args = BuildOptions()
file_1 = open(args.res_1, 'r')
file_2 = open(args.res_2, 'r')
res_1 = json.load(file_1, object_pairs_hook=OrderedDict)
res_2 = json.load(file_2, object_pairs_hook=OrderedDict)
res_1 = FilterBenchmarks(res_1, args.filter, args.filter_out)
res_2 = FilterBenchmarks(res_2, args.filter, args.filter_out)
if args.significant_changes:
res_1, res_2 = \
FilterSignificantChanges(res_1, res_2,
args.significant_diff_threshold,
args.significant_deviation_threshold)
if args.order_by_diff:
regressions, improvements = OrderResultsByDifference(res_1, res_2)
utils_stats.PrintDiff(regressions[0], regressions[1], "REGRESSIONS")
print("")
utils_stats.PrintDiff(improvements[0], improvements[1], "IMPROVEMENTS")
else:
utils_stats.PrintDiff(res_1, res_2)
file_1.close()
file_2.close()
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