Unity-Technologies
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emscripten
зеркало из https://github.com/Unity-Technologies/emscripten.git
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emscripten/tests/test_benchmark.py

507 строки
19 KiB
Python
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import math, os, shutil, subprocess
import runner
from runner import RunnerCore, path_from_root
from tools.shared import *
# standard arguments for timing:
# 0: no runtime, just startup
# 1: very little runtime
# 2: 0.5 seconds
# 3: 1 second
# 4: 5 seconds
# 5: 10 seconds
DEFAULT_ARG = '4'
TEST_REPS = 2
TOTAL_TESTS = 8
tests_done = 0
total_times = map(lambda x: 0., range(TOTAL_TESTS))
total_native_times = map(lambda x: 0., range(TOTAL_TESTS))
class benchmark(RunnerCore):
save_dir = True
@classmethod
def setUpClass(self):
super(benchmark, self).setUpClass()
fingerprint = [time.asctime()]
try:
fingerprint.append('em: ' + Popen(['git', 'show'], stdout=PIPE).communicate()[0].split('\n')[0])
except:
pass
try:
d = os.getcwd()
os.chdir(os.path.expanduser('~/Dev/mozilla-central'))
fingerprint.append('sm: ' + filter(lambda line: 'changeset' in line,
Popen(['hg', 'tip'], stdout=PIPE).communicate()[0].split('\n'))[0])
except:
pass
finally:
os.chdir(d)
fingerprint.append('llvm: ' + LLVM_ROOT)
print 'Running Emscripten benchmarks... [ %s ]' % ' | '.join(fingerprint)
assert(os.path.exists(CLOSURE_COMPILER))
try:
index = SPIDERMONKEY_ENGINE.index("options('strict')")
SPIDERMONKEY_ENGINE = SPIDERMONKEY_ENGINE[:index-1] + SPIDERMONKEY_ENGINE[index+1:] # closure generates non-strict
except:
pass
Building.COMPILER = CLANG
Building.COMPILER_TEST_OPTS = []
# Pick the JS engine to benchmark. If you specify one, it will be picked. For example, python tests/runner.py benchmark SPIDERMONKEY_ENGINE
global JS_ENGINE
JS_ENGINE = Building.JS_ENGINE_OVERRIDE if Building.JS_ENGINE_OVERRIDE is not None else JS_ENGINES[0]
print 'Benchmarking JS engine: %s' % JS_ENGINE
def print_stats(self, times, native_times, last=False, reps=TEST_REPS):
if reps == 0:
print '(no reps)'
return
mean = sum(times)/len(times)
squared_times = map(lambda x: x*x, times)
mean_of_squared = sum(squared_times)/len(times)
std = math.sqrt(mean_of_squared - mean*mean)
sorted_times = times[:]
sorted_times.sort()
median = sum(sorted_times[len(sorted_times)/2 - 1:len(sorted_times)/2 + 1])/2
mean_native = sum(native_times)/len(native_times)
squared_native_times = map(lambda x: x*x, native_times)
mean_of_squared_native = sum(squared_native_times)/len(native_times)
std_native = math.sqrt(mean_of_squared_native - mean_native*mean_native)
sorted_native_times = native_times[:]
sorted_native_times.sort()
median_native = sum(sorted_native_times[len(sorted_native_times)/2 - 1:len(sorted_native_times)/2 + 1])/2
final = mean / mean_native
if last:
norm = 0
for i in range(len(times)):
norm += times[i]/native_times[i]
norm /= len(times)
print
print ' JavaScript: %.3f Native: %.3f Ratio: %.3f Normalized ratio: %.3f' % (mean, mean_native, final, norm)
return
print
print ' JavaScript: mean: %.3f (+-%.3f) secs median: %.3f range: %.3f-%.3f (noise: %3.3f%%) (%d runs)' % (mean, std, median, min(times), max(times), 100*std/mean, reps)
print ' Native : mean: %.3f (+-%.3f) secs median: %.3f range: %.3f-%.3f (noise: %3.3f%%) JS is %.2f X slower' % (mean_native, std_native, median_native, min(native_times), max(native_times), 100*std_native/mean_native, final)
def do_benchmark(self, name, src, expected_output='FAIL', args=[], emcc_args=[], native_args=[], shared_args=[], force_c=False, reps=TEST_REPS, native_exec=None, output_parser=None, args_processor=None):
args = args or [DEFAULT_ARG]
if args_processor: args = args_processor(args)
dirname = self.get_dir()
filename = os.path.join(dirname, name + '.c' + ('' if force_c else 'pp'))
f = open(filename, 'w')
f.write(src)
f.close()
final_filename = os.path.join(dirname, name + '.js')
open('hardcode.py', 'w').write('''
def process(filename):
js = open(filename).read()
replaced = js.replace("run();", "run(%s.concat(Module[\\"arguments\\"]));")
assert js != replaced
open(filename, 'w').write(replaced)
import sys
process(sys.argv[1])
''' % str(args[:-1]) # do not hardcode in the last argument, the default arg
)
try_delete(final_filename)
output = Popen([PYTHON, EMCC, filename, #'-O3',
'-O2', '-s', 'DOUBLE_MODE=0', '-s', 'PRECISE_I64_MATH=0',
'--llvm-lto', '3', '--memory-init-file', '0', '--js-transform', 'python hardcode.py',
'-s', 'TOTAL_MEMORY=128*1024*1024',
'--closure', '1',
#'-g',
'-o', final_filename] + shared_args + emcc_args, stdout=PIPE, stderr=self.stderr_redirect).communicate()
assert os.path.exists(final_filename), 'Failed to compile file: ' + output[0]
# Run JS
global total_times, tests_done
times = []
for i in range(reps):
start = time.time()
js_output = run_js(final_filename, engine=JS_ENGINE, args=args, stderr=PIPE, full_output=True)
if i == 0 and 'uccessfully compiled asm.js code' in js_output:
if 'asm.js link error' not in js_output:
print "[%s was asm.js'ified]" % name
if not output_parser:
curr = time.time()-start
else:
curr = output_parser(js_output)
times.append(curr)
total_times[tests_done] += curr
if i == 0:
# Sanity check on output
self.assertContained(expected_output, js_output)
# Run natively
if not native_exec:
self.build_native(filename, shared_args + native_args)
else:
shutil.copyfile(native_exec, filename + '.native')
shutil.copymode(native_exec, filename + '.native')
global total_native_times
native_times = []
for i in range(reps):
start = time.time()
native_output = self.run_native(filename, args)
if i == 0:
# Sanity check on output
self.assertContained(expected_output, native_output)
if not output_parser:
curr = time.time()-start
else:
curr = output_parser(native_output)
native_times.append(curr)
total_native_times[tests_done] += curr
self.print_stats(times, native_times, reps=reps)
#tests_done += 1
#if tests_done == TOTAL_TESTS:
# print 'Total stats:',
# self.print_stats(total_times, total_native_times, last=True)
def test_primes(self):
src = r'''
#include<stdio.h>
#include<math.h>
int main(int argc, char **argv) {
int arg = argc > 1 ? argv[1][0] - '0' : 3;
switch(arg) {
case 0: return 0; break;
case 1: arg = 33000; break;
case 2: arg = 130000; break;
case 3: arg = 220000; break;
case 4: arg = 610000; break;
case 5: arg = 1010000; break;
default: printf("error: %d\\n", arg); return -1;
}
int primes = 0, curri = 2;
while (primes < arg) {
int ok = true;
for (int j = 2; j < sqrtf(curri); j++) {
if (curri % j == 0) {
ok = false;
break;
}
}
if (ok) {
primes++;
}
curri++;
}
printf("lastprime: %d.\n", curri-1);
return 0;
}
'''
self.do_benchmark('primes', src, 'lastprime:')
def test_memops(self):
src = '''
#include<stdio.h>
#include<string.h>
#include<stdlib.h>
int main(int argc, char **argv) {
int N, M;
int arg = argc > 1 ? argv[1][0] - '0' : 3;
switch(arg) {
case 0: return 0; break;
case 1: N = 1024*1024; M = 55; break;
case 2: N = 1024*1024; M = 400; break;
case 3: N = 1024*1024; M = 800; break;
case 4: N = 1024*1024; M = 4000; break;
case 5: N = 1024*1024; M = 8000; break;
default: printf("error: %d\\n", arg); return -1;
}
int final = 0;
char *buf = (char*)malloc(N);
for (int t = 0; t < M; t++) {
for (int i = 0; i < N; i++)
buf[i] = (i + final)%256;
for (int i = 0; i < N; i++)
final += buf[i] & 1;
final = final % 1000;
}
printf("final: %d.\\n", final);
return 0;
}
'''
self.do_benchmark('memops', src, 'final:')
def zzztest_files(self):
src = r'''
#include<stdio.h>
#include<stdlib.h>
#include<assert.h>
#include <unistd.h>
int main() {
int N = 100;
int M = 1000;
int K = 1000;
unsigned char *k = (unsigned char*)malloc(K+1), *k2 = (unsigned char*)malloc(K+1);
for (int i = 0; i < K; i++) {
k[i] = (i % 250) + 1;
}
k[K] = 0;
char buf[100];
for (int i = 0; i < N; i++) {
sprintf(buf, "/dev/shm/file-%d.dat", i);
FILE *f = fopen(buf, "w");
for (int j = 0; j < M; j++) {
fwrite(k, 1, (j % K) + 1, f);
}
fclose(f);
}
for (int i = 0; i < N; i++) {
sprintf(buf, "/dev/shm/file-%d.dat", i);
FILE *f = fopen(buf, "r");
for (int j = 0; j < M; j++) {
fread(k2, 1, (j % K) + 1, f);
}
fclose(f);
for (int j = 0; j < K; j++) {
assert(k[j] == k2[j]);
}
unlink(buf);
}
printf("ok");
return 0;
}
'''
self.do_benchmark(src, 'ok')
def test_copy(self):
src = r'''
#include<stdio.h>
struct vec {
int x, y, z;
int r, g, b;
vec(int x_, int y_, int z_, int r_, int g_, int b_) : x(x_), y(y_), z(z_), r(r_), g(g_), b(b_) {}
static vec add(vec a, vec b) {
return vec(a.x+b.x, a.y+b.y, a.z+b.z, a.r+b.r, a.g+b.g, a.b+b.b);
}
void norm() {
x %= 1024;
y %= 1024;
z %= 1024;
r %= 1024;
b %= 1024;
g %= 1024;
}
int sum() { return x + y + z + r + g + b; }
};
int main(int argc, char **argv) {
int arg = argc > 1 ? argv[1][0] - '0' : 3;
switch(arg) {
case 0: return 0; break;
case 1: arg = 75; break;
case 2: arg = 625; break;
case 3: arg = 1250; break;
case 4: arg = 5*1250; break;
case 5: arg = 10*1250; break;
default: printf("error: %d\\n", arg); return -1;
}
int total = 0;
for (int i = 0; i < arg; i++) {
for (int j = 0; j < 50000; j++) {
vec c(i, i+i%10, j*2, i%255, j%120, i%15);
vec d(j+i%10, j*2, j%255, i%120, j%15, j);
vec e = c;
c.norm();
d.norm();
vec f = vec::add(c, d);
f = vec::add(e, f);
f.norm();
f = vec::add(d, f);
total += f.sum() % 100;
total %= 10240;
}
}
printf("sum:%d\n", total);
return 0;
}
'''
self.do_benchmark('copy', src, 'sum:')
def test_fannkuch(self):
src = open(path_from_root('tests', 'fannkuch.cpp'), 'r').read().replace(
'int n = argc > 1 ? atoi(argv[1]) : 0;',
'''
int n;
int arg = argc > 1 ? argv[1][0] - '0' : 3;
switch(arg) {
case 0: return 0; break;
case 1: n = 9; break;
case 2: n = 10; break;
case 3: n = 11; break;
case 4: n = 11; break;
case 5: n = 12; break;
default: printf("error: %d\\n", arg); return -1;
}
'''
)
assert 'switch(arg)' in src
self.do_benchmark('fannkuch', src, 'Pfannkuchen(')
def test_corrections(self):
src = r'''
#include<stdio.h>
#include<math.h>
int main(int argc, char **argv) {
int N, M;
int arg = argc > 1 ? argv[1][0] - '0' : 3;
switch(arg) {
case 0: return 0; break;
case 1: N = 20000; M = 550; break;
case 2: N = 20000; M = 3500; break;
case 3: N = 20000; M = 7000; break;
case 4: N = 20000; M = 5*7000; break;
case 5: N = 20000; M = 10*7000; break;
default: printf("error: %d\\n", arg); return -1;
}
unsigned int f = 0;
unsigned short s = 0;
for (int t = 0; t < M; t++) {
for (int i = 0; i < N; i++) {
f += i / ((t % 5)+1);
if (f > 1000) f /= (t % 3)+1;
if (i % 4 == 0) f += i * (i % 8 == 0 ? 1 : -1);
s += (short(f)*short(f)) % 256;
}
}
printf("final: %d:%d.\n", f, s);
return 0;
}
'''
self.do_benchmark('corrections', src, 'final:', emcc_args=['-s', 'CORRECT_SIGNS=1', '-s', 'CORRECT_OVERFLOWS=1', '-s', 'CORRECT_ROUNDINGS=1'])
def fasta(self, name, double_rep, emcc_args=[]):
src = open(path_from_root('tests', 'fasta.cpp'), 'r').read().replace('double', double_rep)
src = src.replace(' const size_t n = ( argc > 1 ) ? atoi( argv[1] ) : 512;', '''
int n;
int arg = argc > 1 ? argv[1][0] - '0' : 3;
switch(arg) {
case 0: return 0; break;
case 1: n = 19000000/20; break;
case 2: n = 19000000/2; break;
case 3: n = 19000000; break;
case 4: n = 19000000*5; break;
case 5: n = 19000000*10; break;
default: printf("error: %d\\n", arg); return -1;
}
''')
assert 'switch(arg)' in src
self.do_benchmark('fasta', src, '')
def test_fasta_float(self):
self.fasta('fasta_float', 'float')
def test_fasta_double(self):
self.fasta('fasta_double', 'double')
def test_fasta_double_full(self):
self.fasta('fasta_double_full', 'double', emcc_args=['-s', 'DOUBLE_MODE=1'])
def test_skinning(self):
src = open(path_from_root('tests', 'skinning_test_no_simd.cpp'), 'r').read()
self.do_benchmark('skinning', src, 'blah=0.000000')
def test_life(self):
src = open(path_from_root('tests', 'life.c'), 'r').read()
self.do_benchmark('life', src, '''--------------------------------''', shared_args=['-std=c99'], force_c=True)
def test_linpack(self):
def output_parser(output):
return 100.0/float(re.search('Unrolled Double Precision +([\d\.]+) Mflops', output).group(1))
self.do_benchmark('linpack', open(path_from_root('tests', 'linpack.c')).read(), '''Unrolled Double Precision''', force_c=True, output_parser=output_parser)
def test_zzz_java_nbody(self): # tests xmlvm compiled java, including bitcasts of doubles, i64 math, etc.
args = [path_from_root('tests', 'nbody-java', x) for x in os.listdir(path_from_root('tests', 'nbody-java')) if x.endswith('.c')] + \
['-I' + path_from_root('tests', 'nbody-java')]
self.do_benchmark('nbody_java', '', '''Time(s)''',
force_c=True, emcc_args=args + ['-s', 'PRECISE_I64_MATH=1', '--llvm-lto', '2'], native_args=args + ['-lgc', '-std=c99', '-target', 'x86_64-pc-linux-gnu', '-lm'])
def lua(self, benchmark, expected, output_parser=None, args_processor=None):
shutil.copyfile(path_from_root('tests', 'lua', benchmark + '.lua'), benchmark + '.lua')
#shutil.copyfile(path_from_root('tests', 'lua', 'binarytrees.lua'), 'binarytrees.lua')
#shutil.copyfile(path_from_root('tests', 'lua', 'scimark.lua'), 'scimark.lua')
emcc_args = self.get_library('lua', [os.path.join('src', 'lua'), os.path.join('src', 'liblua.a')], make=['make', 'generic'], configure=None) + \
['--embed-file', benchmark + '.lua']
#['--embed-file', 'binarytrees.lua', '--embed-file', 'scimark.lua'] + ['--minify', '0']
shutil.copyfile(emcc_args[0], emcc_args[0] + '.bc')
emcc_args[0] += '.bc'
native_args = self.get_library('lua_native', [os.path.join('src', 'lua'), os.path.join('src', 'liblua.a')], make=['make', 'generic'], configure=None, native=True)
self.do_benchmark('lua_' + benchmark, '', expected,
force_c=True, args=[benchmark + '.lua', DEFAULT_ARG], emcc_args=emcc_args, native_args=native_args, native_exec=os.path.join('building', 'lua_native', 'src', 'lua'),
output_parser=output_parser, args_processor=args_processor)
def test_zzz_lua_scimark(self):
def output_parser(output):
return 100.0/float(re.search('\nSciMark +([\d\.]+) ', output).group(1))
self.lua('scimark', '[small problem sizes]', output_parser=output_parser)
def test_zzz_lua_binarytrees(self):
# js version: ['binarytrees.lua', {0: 0, 1: 9.5, 2: 11.99, 3: 12.85, 4: 14.72, 5: 15.82}[arguments[0]]]
self.lua('binarytrees', 'long lived tree of depth')
def test_zzz_zlib(self):
src = open(path_from_root('tests', 'zlib', 'benchmark.c'), 'r').read()
emcc_args = self.get_library('zlib', os.path.join('libz.a'), make_args=['libz.a']) + \
['-I' + path_from_root('tests', 'zlib')]
native_args = self.get_library('zlib_native', os.path.join('libz.a'), make_args=['libz.a'], native=True) + \
['-I' + path_from_root('tests', 'zlib')]
self.do_benchmark('zlib', src, '''ok.''',
force_c=True, emcc_args=emcc_args, native_args=native_args)
def test_zzz_box2d(self): # Called thus so it runs late in the alphabetical cycle... it is long
src = open(path_from_root('tests', 'box2d', 'Benchmark.cpp'), 'r').read()
js_lib = self.get_library('box2d', [os.path.join('box2d.a')], configure=None)
native_lib = self.get_library('box2d_native', [os.path.join('box2d.a')], configure=None, native=True)
emcc_args = js_lib + ['-I' + path_from_root('tests', 'box2d')]
native_args = native_lib + ['-I' + path_from_root('tests', 'box2d')]
self.do_benchmark('box2d', src, 'frame averages', emcc_args=emcc_args, native_args=native_args)
def test_zzz_bullet(self): # Called thus so it runs late in the alphabetical cycle... it is long
src = open(path_from_root('tests', 'bullet', 'Demos', 'Benchmarks', 'BenchmarkDemo.cpp'), 'r').read() + \
open(path_from_root('tests', 'bullet', 'Demos', 'Benchmarks', 'main.cpp'), 'r').read()
js_lib = self.get_library('bullet', [os.path.join('src', '.libs', 'libBulletDynamics.a'),
os.path.join('src', '.libs', 'libBulletCollision.a'),
os.path.join('src', '.libs', 'libLinearMath.a')],
configure_args=['--disable-demos','--disable-dependency-tracking'])
native_lib = self.get_library('bullet_native', [os.path.join('src', '.libs', 'libBulletDynamics.a'),
os.path.join('src', '.libs', 'libBulletCollision.a'),
os.path.join('src', '.libs', 'libLinearMath.a')],
configure_args=['--disable-demos','--disable-dependency-tracking'],
native=True)
emcc_args = js_lib + ['-I' + path_from_root('tests', 'bullet', 'src'),
'-I' + path_from_root('tests', 'bullet', 'Demos', 'Benchmarks'),
'-s', 'DEAD_FUNCTIONS=["__ZSt9terminatev"]']
native_args = native_lib + ['-I' + path_from_root('tests', 'bullet', 'src'),
'-I' + path_from_root('tests', 'bullet', 'Demos', 'Benchmarks')]
self.do_benchmark('bullet', src, '\nok.\n', emcc_args=emcc_args, native_args=native_args)
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