Files
wren/benchmark/run_bench
T
Bob Nystrom 1933956323 feat: add LuaJIT benchmark entries and refactor language command construction
Add two LuaJIT benchmark configurations (with and without JIT) to the benchmark runner, refactor language command construction from fixed tuples to extensible lists, and adjust column widths for longer language names.
2014-01-13 15:29:47 +00:00

225 lines
5.5 KiB
Python
Executable File

#!/usr/bin/python
import argparse
import math
import os
import re
import subprocess
import sys
# How many times to run a given benchmark.
NUM_TRIALS = 10
BENCHMARKS = []
def BENCHMARK(name, pattern):
regex = re.compile(pattern + "\n" + r"elapsed: (\d+\.\d+)", re.MULTILINE)
BENCHMARKS.append([name, regex, None])
BENCHMARK("binary_trees", """stretch tree of depth 13 check: -1
8192 trees of depth 4 check: -8192
2048 trees of depth 6 check: -2048
512 trees of depth 8 check: -512
128 trees of depth 10 check: -128
32 trees of depth 12 check: -32
long lived tree of depth 12 check: -1""")
BENCHMARK("fib", r"""317811
317811
317811
317811
317811""")
BENCHMARK("for", r"""1999999000000""")
BENCHMARK("method_call", r"""true
false""")
LANGUAGES = [
("wren", ["../build/Release/wren"], ".wren"),
("lua", ["lua"], ".lua"),
# ("luajit", ["luajit"], ".lua"),
("luajit (-joff)", ["luajit", "-joff"], ".lua"),
("python", ["python"], ".py"),
("ruby", ["ruby"], ".rb")
]
results = []
def green(text):
if sys.platform == 'win32':
return text
return '\033[32m' + text + '\033[0m'
def red(text):
if sys.platform == 'win32':
return text
return '\033[31m' + text + '\033[0m'
def yellow(text):
if sys.platform == 'win32':
return text
return '\033[33m' + text + '\033[0m'
def get_score(time):
"""
Converts time into a "score". This is the inverse of the time with an
arbitrary scale applied to get the number in a nice range. The goal here is
to have benchmark results where faster = bigger number.
"""
return 1000.0 / time
def run_trial(benchmark, language):
"""Runs one benchmark one time for one language."""
args = []
args.extend(language[1])
args.append(benchmark[0] + language[2])
out = subprocess.check_output(args, universal_newlines=True)
match = benchmark[1].match(out)
if match:
return float(match.group(1))
else:
print "Incorrect output:"
print out
return None
def run_benchmark_language(benchmark, language):
"""Runs one benchmark for a number of trials for one language."""
name = "{0} - {1}".format(benchmark[0], language[0])
print "{0:30s}".format(name),
if not os.path.exists(benchmark[0] + language[2]):
print "No implementation for this language"
return
times = []
for i in range(0, NUM_TRIALS):
time = run_trial(benchmark, language)
if not time:
return
times.append(time)
sys.stdout.write(".")
best = min(times)
score = get_score(best)
comparison = ""
if language[0] == "wren":
if benchmark[2] != None:
ratio = 100 * score / benchmark[2]
comparison = "{:6.2f}% relative to baseline".format(ratio)
if ratio > 105:
comparison = green(comparison)
if ratio < 95:
comparison = red(comparison)
else:
comparison = "no baseline"
else:
# Hack: assumes wren is first language.
wren_score = results[0][2]
ratio = 100.0 * wren_score / score
comparison = "{:6.2f}%".format(ratio)
if ratio > 105:
comparison = green(comparison)
if ratio < 95:
comparison = red(comparison)
print " {:5.0f} {:4.2f}s {:s}".format(score, best, comparison)
results.append([name, times, score])
return score
def run_benchmark(benchmark, languages):
"""Runs one benchmark for the given languages (or all of them)."""
for language in LANGUAGES:
if not languages or language[0] in languages:
run_benchmark_language(benchmark, language)
graph_results()
del results[0:len(results)]
def graph_results():
print
INCREMENT = {
'-': 'o',
'o': 'O',
'O': '0',
'0': '0'
}
# Scale everything by the highest score.
highest = 0
for result in results:
score = get_score(min(result[1]))
if score > highest: highest = score
print "{0:30s}0 {1:66.0f}".format("", highest)
for result in results:
line = ["-"] * 68
for time in result[1]:
index = int(get_score(time) / highest * 67)
line[index] = INCREMENT[line[index]]
print "{0:30s}{1}".format(result[0], "".join(line))
print
def read_baseline():
if os.path.exists("baseline.txt"):
with open("baseline.txt") as f:
for line in f.readlines():
name, best = line.split(",")
for benchmark in BENCHMARKS:
if benchmark[0] == name:
benchmark[2] = float(best)
def generate_baseline():
print "generating baseline"
baseline_text = ""
for benchmark in BENCHMARKS:
best = run_benchmark_language(benchmark, LANGUAGES[0])
baseline_text += ("{},{}\n".format(benchmark[0], best))
# Write them to a file.
with open("baseline.txt", 'w') as out:
out.write(baseline_text)
def main():
parser = argparse.ArgumentParser(description="Run the benchmarks")
parser.add_argument("benchmark", nargs='?',
default="all",
help="The benchmark to run")
parser.add_argument("--generate-baseline",
action="store_true",
help="Generate a baseline file")
parser.add_argument("-l", "--language",
action="append",
help="Which language(s) to run benchmarks for")
args = parser.parse_args()
if args.generate_baseline:
generate_baseline()
return
read_baseline()
# Run all benchmarks.
if args.benchmark == "all":
for benchmark in BENCHMARKS:
run_benchmark(benchmark, args.language)
return
# Run the given benchmark.
for benchmark in BENCHMARKS:
if benchmark[0] == args.benchmark:
run_benchmark(benchmark, args.language)
main()