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#!/usr/bin/python
# Copyright (C) 2017-2023 Free Software Foundation, Inc.
# This file is part of the GNU C Library.
#
# The GNU C Library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# The GNU C Library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with the GNU C Library; if not, see
# <https://www.gnu.org/licenses/>.
"""Compare results of string functions
Given a string benchmark result file, print a table with comparisons with a
baseline. The baseline is the first function, which typically is the builtin
function.
"""
import math
import matplotlib as mpl
mpl.use('Agg')
import sys
import os
import json
import pylab
import argparse
import traceback
try:
import jsonschema as validator
except ImportError:
print('Could not find jsonschema module.')
raise
def parse_file(filename, schema_filename):
try:
with open(schema_filename, 'r') as schemafile:
schema = json.load(schemafile)
with open(filename, 'r') as benchfile:
bench = json.load(benchfile)
validator.validate(bench, schema)
return bench
except:
print(traceback.format_exc(limit=1))
sys.exit(os.EX_NOINPUT)
def draw_graph(f, v, ifuncs, results):
"""Plot graphs for functions
Plot line graphs for each of the ifuncs
Args:
f: Function name
v: Benchmark variant for the function.
ifuncs: List of ifunc names
results: Dictionary of results for each test criterion
"""
print('Generating graph for %s, variant \'%s\'' % (f, v))
xkeys = results.keys()
pylab.clf()
fig = pylab.figure(frameon=False)
fig.set_size_inches(32, 18)
pylab.ylabel('Performance improvement from base')
X = range(len(xkeys))
pylab.xticks(X, xkeys)
i = 0
while i < len(ifuncs):
Y = [results[k][i] for k in xkeys]
lines = pylab.plot(X, Y, label=':'+ifuncs[i])
i = i + 1
pylab.legend()
pylab.grid()
pylab.savefig('%s-%s.png' % (f, v), bbox_inches='tight')
def process_results(results, attrs, funcs, base_func, graph, no_diff,
no_header, gmean):
""" Process results and print them
Args:
results: JSON dictionary of results
attrs: Attributes that form the test criteria
funcs: Functions that are selected
"""
for f in results['functions'].keys():
v = results['functions'][f]['bench-variant']
selected = {}
index = 0
base_index = 0
if funcs:
ifuncs = []
first_func = True
for i in results['functions'][f]['ifuncs']:
if i in funcs:
if first_func:
base_index = index
first_func = False
selected[index] = 1
ifuncs.append(i)
else:
selected[index] = 0
index += 1
else:
ifuncs = results['functions'][f]['ifuncs']
for i in ifuncs:
selected[index] = 1
index += 1
if base_func:
try:
base_index = results['functions'][f]['ifuncs'].index(base_func)
except ValueError:
sys.stderr.write('Invalid -b "%s" parameter. Options: %s.\n' %
(base_func, ', '.join(results['functions'][f]['ifuncs'])))
sys.exit(os.EX_DATAERR)
if not no_header:
print('Function: %s' % f)
print('Variant: %s' % v)
print("%36s%s" % (' ', '\t'.join(ifuncs)))
print("=" * 120)
mean_row = [0 for i in range(len(ifuncs))]
total=0
graph_res = {}
for res in results['functions'][f]['results']:
try:
attr_list = ['%s=%s' % (a, res[a]) for a in attrs]
except KeyError as ke:
sys.stderr.write('Invalid -a %s parameter. Options: %s.\n'
% (ke, ', '.join([a for a in res.keys() if a != 'timings'])))
sys.exit(os.EX_DATAERR)
i = 0
key = ', '.join(attr_list)
sys.stdout.write('%36s: ' % key)
graph_res[key] = res['timings']
for t in res['timings']:
if selected[i]:
if gmean:
mean_row[i] = mean_row[i]+math.log(t)
sys.stdout.write ('%12.2f' % t)
if not no_diff:
if i != base_index:
base = res['timings'][base_index]
diff = (base - t) * 100 / base
sys.stdout.write (' (%6.2f%%)' % diff)
sys.stdout.write('\t')
i = i + 1
print('')
if graph:
draw_graph(f, v, results['functions'][f]['ifuncs'], graph_res)
if gmean:
print("=" * 120)
total = len(results['functions'][f]['results'])
sys.stdout.write ('Geo-mean (for %s inputs)'%total)
for m in mean_row:
sys.stdout.write ('%12.2f' % (math.exp(m/total)))
def main(args):
"""Program Entry Point
Take a string benchmark output file and compare timings.
"""
base_func = None
filename = args.input
schema_filename = args.schema
base_func = args.base
attrs = args.attributes.split(',')
if args.functions:
funcs = args.functions.split(',')
if base_func and not base_func in funcs:
print('Baseline function (%s) not found.' % base_func)
sys.exit(os.EX_DATAERR)
else:
funcs = None
results = parse_file(args.input, args.schema)
process_results(results, attrs, funcs, base_func, args.graph, args.no_diff,
args.no_header, args.gmean)
return os.EX_OK
if __name__ == '__main__':
parser = argparse.ArgumentParser()
# The required arguments.
req = parser.add_argument_group(title='required arguments')
req.add_argument('-a', '--attributes', required=True,
help='Comma separated list of benchmark attributes.')
req.add_argument('-i', '--input', required=True,
help='Input JSON benchmark result file.')
req.add_argument('-s', '--schema', required=True,
help='Schema file to validate the result file.')
# Optional arguments.
parser.add_argument('-f', '--functions',
help='Comma separated list of functions.')
parser.add_argument('-b', '--base',
help='IFUNC variant to set as baseline.')
parser.add_argument('-g', '--graph', action='store_true',
help='Generate a graph from results.')
parser.add_argument('--no-diff', action='store_true',
help='Do not print the difference from baseline.')
parser.add_argument('--no-header', action='store_true',
help='Do not print the header.')
parser.add_argument('--gmean', action='store_true',
help='Print the geometric mean at the end of the output.')
args = parser.parse_args()
sys.exit(main(args))
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