blob: f03cc8263899bb4ba7f50c8217127b2f2d2fe353 [file] [log] [blame]
#!/usr/bin/env python
# ===--- swift-bench.py ------------------------------*- coding: utf-8 -*-===//
#
# This source file is part of the Swift.org open source project
#
# Copyright (c) 2014 - 2017 Apple Inc. and the Swift project authors
# Licensed under Apache License v2.0 with Runtime Library Exception
#
# See https://swift.org/LICENSE.txt for license information
# See https://swift.org/CONTRIBUTORS.txt for the list of Swift project authors
# This file implements a test harness for running Swift performance benchmarks.
#
# Its input is a set of swift files, containing functions named 'bench_*' that
# take no arguments and returns Int. The harness makes a separate test from
# each of these functions, runs all the tests and reports aggregate results.
#
# The workflow of the harness is the following:
# o Basing on the input files, generate 'processed' files. These files
# contain a main function with simple arguments parsing, time measurement
# utilities and a loop in which the bench-functions are called.
# o When all files are processed, the harness begins to compile them, keeping
# track of all compile fails for later results reporting.
# o When all files are compiled, the harness begins to run the tests. The
# harness chooses a number of iterations for each tests to achieve the best
# accuracy in the given time limit (in order to do that, it performs
# several auxiliary test runs). When the iteration number is chosen, the
# measurement of execution time is actually performed.
# o At this point everything is ready, and the harness simply reports the
# results.
#
# Ideas for the harness improvement and development are welcomed here:
# rdar://problem/18072938
from __future__ import print_function
import argparse
import math
import os
import re
import subprocess
import sys
# This regular expression is looking for Swift functions named `bench_*`
# that take no arguments and return an Int. The Swift code for such
# a function is:
#
# func bench_myname() {
# // function body goes here
# }
BENCH_RE = re.compile(
r"^\s*" # whitespace at the start of the line
r"func\s+" # 'func' keyword, which must be followed by
# at least one space
r"bench_([a-zA-Z0-9_]+)\s*"
# name of the function
r"\s*\(\s*\)" # argument list
r"\s*->\s*Int\s*" # return type
r"({)?" # opening brace of the function body
r"\s*$" # whitespace ot the end of the line
)
def pstdev(sample):
"""Given a list of numbers, return the population standard deviation.
For a population x_1, x_2, ..., x_N with mean M, the standard deviation
is defined as
sqrt( 1/N * [ (x_1 - M)^2 + (x_2 - M)^2 + ... + (x_N - M)^2 ] )
"""
if len(sample) == 0:
raise ValueError("Cannot calculate the standard deviation of an "
"empty list!")
mean = sum(sample) / float(len(sample))
inner = 1.0 / len(sample) * (sum((x - mean) ** 2 for x in sample))
return math.sqrt(inner)
class SwiftBenchHarness(object):
sources = []
verbose_level = 0
compiler = ""
tests = {}
time_limit = 1000
min_sample_time = 100
min_iter_time = 1
opt_flags = []
def log(self, str, level):
if self.verbose_level >= level:
for _ in range(1, level):
sys.stdout.write(' ')
print(str)
def run_command(self, cmd):
self.log(' Executing: ' + ' '.join(cmd), 1)
return subprocess.check_output(cmd, stderr=subprocess.STDOUT)
def parse_arguments(self):
self.log("Parsing arguments.", 2)
parser = argparse.ArgumentParser()
parser.add_argument(
"-v", "--verbosity",
help="increase output verbosity", type=int)
parser.add_argument("files", help="input files", nargs='+')
parser.add_argument(
'-c', '--compiler',
help="compiler to use", default="swiftc")
parser.add_argument(
'-t', '--timelimit',
help="Time limit for every test", type=int)
parser.add_argument(
'-s', '--sampletime',
help="Minimum time for every sample", type=int)
parser.add_argument(
'-f', '--flags', help="Compilation flags", nargs='+')
args = parser.parse_args()
if args.verbosity:
self.verbose_level = args.verbosity
self.sources = args.files
self.compiler = args.compiler
if args.flags:
self.opt_flags = args.flags
if args.timelimit and args.timelimit > 0:
self.time_limit = args.timelimit
if args.sampletime and args.sampletime > 0:
self.min_sample_time = args.sampletime
self.log("Sources: %s." % ', '.join(self.sources), 3)
self.log("Compiler: %s." % self.compiler, 3)
self.log("Opt flags: %s." % ', '.join(self.opt_flags), 3)
self.log("Verbosity: %s." % self.verbose_level, 3)
self.log("Time limit: %s." % self.time_limit, 3)
self.log("Min sample time: %s." % self.min_sample_time, 3)
def process_source(self, name):
self.log("Processing source file: %s." % name, 2)
header = """
@_silgen_name("mach_absolute_time") func __mach_absolute_time__() -> UInt64
@_silgen_name("opaqueGetInt32")
func _opaqueGetInt32(x: Int) -> Int
@_silgen_name("opaqueGetInt64")
func _opaqueGetInt64(x: Int) -> Int
@inline(never)
public func getInt(x: Int) -> Int {
#if arch(i386) || arch(arm)
return _opaqueGetInt32(x)
#elseif arch(x86_64) || arch(arm64) || arch(powerpc64) || \
arch(powerpc64le) || arch(s390x)
return _opaqueGetInt64(x)
#else
return x
#endif
}
@inline(never)
func False() -> Bool { return getInt(1) == 0 }
@inline(never)
func Consume(x: Int) { if False() { println(x) } }
"""
before_bench = """
@inline(never)
"""
into_bench = """
if False() { return 0 }
"""
main_begin = """
func main() {
var N = 1
var name = ""
if CommandLine.arguments.count > 1 {
N = CommandLine.arguments[1].toInt()!
}
"""
main_body = r"""
name = "%s"
if CommandLine.arguments.count <= 2 || CommandLine.arguments[2] == name {
let start = __mach_absolute_time__()
for _ in 1...N {
bench_%s()
}
let end = __mach_absolute_time__()
println("\(name),\(N),\(end - start)")
}
"""
main_end = """
}
main()
"""
with open(name) as f:
lines = list(f)
output = header
looking_for_curly_brace = False
test_names = []
for lineno, l in enumerate(lines, start=1):
if looking_for_curly_brace:
output += l
if "{" not in l:
continue
looking_for_curly_brace = False
output += into_bench
continue
m = BENCH_RE.match(l)
if m:
output += before_bench
output += l
bench_name = m.group(1)
self.log("Benchmark found: %s (line %d)" %
(bench_name, lineno), 3)
self.tests[
name + ":" +
bench_name] = Test(bench_name, name, "", "")
test_names.append(bench_name)
if m.group(2):
output += into_bench
else:
looking_for_curly_brace = True
else:
output += l
output += main_begin
for n in test_names:
output += main_body % (n, n)
processed_name = 'processed_' + os.path.basename(name)
output += main_end
with open(processed_name, 'w') as f:
f.write(output)
for n in test_names:
self.tests[name + ":" + n].processed_source = processed_name
def process_sources(self):
self.log("Processing sources: %s." % self.sources, 2)
for s in self.sources:
self.process_source(s)
def compile_opaque_cfile(self):
self.log("Generating and compiling C file with opaque functions.", 3)
file_body = """
#include <stdint.h>
extern "C" int32_t opaqueGetInt32(int32_t x) { return x; }
extern "C" int64_t opaqueGetInt64(int64_t x) { return x; }
"""
with open('opaque.cpp', 'w') as f:
f.write(file_body)
# TODO: Handle subprocess.CalledProcessError for this call:
self.run_command(
['clang++', 'opaque.cpp', '-o', 'opaque.o', '-c', '-O2'])
compiled_files = {}
def compile_source(self, name):
self.tests[name].binary = "./" + \
self.tests[name].processed_source.split(os.extsep)[0]
if not self.tests[name].processed_source in self.compiled_files:
try:
self.run_command([
self.compiler,
self.tests[name].processed_source,
"-o",
self.tests[name].binary + '.o',
'-c'
] + self.opt_flags)
self.run_command([
self.compiler,
'-o',
self.tests[name].binary,
self.tests[name].binary + '.o',
'opaque.o'
])
self.compiled_files[
self.tests[name].processed_source] = ('', '')
except subprocess.CalledProcessError as e:
self.compiled_files[self.tests[name].processed_source] = (
'COMPFAIL', e.output)
(status, output) = self.compiled_files[
self.tests[name].processed_source]
self.tests[name].status = status
self.tests[name].output = output
def compile_sources(self):
self.log("Compiling processed sources.", 2)
self.compile_opaque_cfile()
for t in self.tests:
self.compile_source(t)
def run_benchmarks(self):
self.log("Running benchmarks.", 2)
for t in self.tests:
self.run_bench(t)
def parse_benchmark_output(self, res):
# Parse lines like
# TestName,NNN,MMM
# where NNN - performed iterations number, MMM - execution time (in ns)
results_re = re.compile(r"(\w+),[ \t]*(\d+),[ \t]*(\d+)")
m = results_re.match(res)
if not m:
return ("", 0, 0)
return (m.group(1), m.group(2), m.group(3))
def compute_iters_number(self, name):
scale = 1
spent = 0
# Measure time for one iteration
# If it's too small, increase number of iteration until it's measurable
while (spent <= self.min_iter_time):
try:
r = self.run_command([
self.tests[name].binary, str(scale),
self.tests[name].name])
(test_name, iters_computed, exec_time) = \
self.parse_benchmark_output(r)
# Convert ns to ms
spent = int(exec_time) / 1000000
if spent <= self.min_iter_time:
scale *= 2
if scale > sys.maxint:
return (0, 0)
except subprocess.CalledProcessError as e:
r = e.output
break
if spent == 0:
spent = 1
# Now compute number of samples we can take in the given time limit
mult = int(self.min_sample_time / spent)
if mult == 0:
mult = 1
scale *= mult
spent *= mult
samples = int(self.time_limit / spent)
if samples == 0:
samples = 1
return (samples, scale)
def run_bench(self, name):
if not self.tests[name].status == "":
return
(num_samples, iter_scale) = self.compute_iters_number(name)
if (num_samples, iter_scale) == (0, 0):
self.tests[name].status = "CAN'T MEASURE"
self.tests[name].output = (
"Can't find number of iterations for the test to last " +
"longer than %d ms." % self.min_iter_time)
return
samples = []
self.log("Running bench: %s, numsamples: %d" % (name, num_samples), 2)
for _ in range(0, num_samples):
try:
r = self.run_command([self.tests[name].binary, str(iter_scale),
self.tests[name].name])
(test_name, iters_computed, exec_time) = \
self.parse_benchmark_output(r)
# TODO: Verify test_name and iters_computed
samples.append(int(exec_time) / iter_scale)
self.tests[name].output = r
except subprocess.CalledProcessError as e:
self.tests[name].status = "RUNFAIL"
self.tests[name].output = e.output
break
res = TestResults(name, samples)
self.tests[name].results = res
def report_results(self):
self.log("\nReporting results.", 2)
print("==================================================")
for t in self.tests:
self.tests[t].do_print()
class Test(object):
def __init__(self, name, source, processed_source, binary):
self.name = name
self.source = source
self.processed_source = processed_source
self.binary = binary
self.status = ""
self.results = None
self.output = None
def do_print(self):
print("NAME: %s" % self.name)
print("SOURCE: %s" % self.source)
if self.status == "":
if self.results is not None:
self.results.do_print()
else:
print("STATUS: %s" % self.status)
print("OUTPUT:")
print(self.output)
print("END OF OUTPUT")
print("")
class TestResults(object):
def __init__(self, name, samples):
self.name = name
self.samples = samples
if len(samples) > 0:
self.process()
def process(self):
self.minimum = min(self.samples)
self.maximum = max(self.samples)
self.avg = sum(self.samples) / len(self.samples)
self.std = pstdev(self.samples)
self.err = self.std / math.sqrt(len(self.samples))
self.int_min = self.avg - self.err * 1.96
self.int_max = self.avg + self.err * 1.96
def do_print(self):
print("SAMPLES: %d" % len(self.samples))
print("MIN: %3.2e" % self.minimum)
print("MAX: %3.2e" % self.maximum)
print("AVG: %3.2e" % self.avg)
print("STD: %3.2e" % self.std)
print("ERR: %3.2e (%2.1f%%)" % (self.err, self.err * 100 / self.avg))
print("CONF INT 0.95: (%3.2e, %3.2e)" % (self.int_min, self.int_max))
print("")
def main():
harness = SwiftBenchHarness()
harness.parse_arguments()
harness.process_sources()
harness.compile_sources()
harness.run_benchmarks()
harness.report_results()
main()