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Copy pathrun-perfbench.py
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executable file
·321 lines (274 loc) · 10.3 KB
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#!/usr/bin/env python3
# This file is part of the MicroPython project, http://micropython.org/
# The MIT License (MIT)
# Copyright (c) 2019 Damien P. George
import os
import subprocess
import sys
import argparse
from glob import glob
sys.path.append("../tools")
import pyboard
prepare_script_for_target = __import__("run-tests").prepare_script_for_target
# Paths for host executables
if os.name == "nt":
CPYTHON3 = os.getenv("MICROPY_CPYTHON3", "python3.exe")
MICROPYTHON = os.getenv(
"MICROPY_MICROPYTHON", "../ports/windows/build-standard/micropython.exe"
)
else:
CPYTHON3 = os.getenv("MICROPY_CPYTHON3", "python3")
MICROPYTHON = os.getenv("MICROPY_MICROPYTHON", "../ports/unix/build-standard/micropython")
PYTHON_TRUTH = CPYTHON3
BENCH_SCRIPT_DIR = "perf_bench/"
def compute_stats(lst):
avg = 0
var = 0
for x in lst:
avg += x
var += x * x
avg /= len(lst)
var = max(0, var / len(lst) - avg**2)
return avg, var**0.5
def run_script_on_target(target, script):
output = b""
err = None
if isinstance(target, pyboard.Pyboard):
# Run via pyboard interface
try:
target.enter_raw_repl()
output = target.exec_(script)
except pyboard.PyboardError as er:
err = er
else:
# Run local executable
try:
p = subprocess.run(
target, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, input=script
)
output = p.stdout
except subprocess.CalledProcessError as er:
err = er
return str(output.strip(), "ascii"), err
def run_feature_test(target, test):
with open("feature_check/" + test + ".py", "rb") as f:
script = f.read()
output, err = run_script_on_target(target, script)
if err is None:
return output
else:
return "CRASH: %r" % err
def run_benchmark_on_target(target, script):
output, err = run_script_on_target(target, script)
if err is None:
if output == "SKIP":
return -1, -1, "SKIP"
time, norm, result = output.split(None, 2)
try:
return int(time), int(norm), result
except ValueError:
return -1, -1, "CRASH: %r" % output
else:
return -1, -1, "CRASH: %r" % err
def run_benchmarks(args, target, param_n, param_m, n_average, test_list):
skip_complex = run_feature_test(target, "complex") != "complex"
skip_native = run_feature_test(target, "native_check") != "native"
target_had_error = False
for test_file in sorted(test_list):
print(test_file + ": ", end="")
# Check if test should be skipped
skip = (
skip_complex
and test_file.find("bm_fft") != -1
or skip_native
and test_file.find("viper_") != -1
)
if skip:
print("SKIP")
continue
# Create test script
test_script = b"import sys\nsys.path.remove('')\n\n"
with open(test_file, "rb") as f:
test_script += f.read()
with open(BENCH_SCRIPT_DIR + "benchrun.py", "rb") as f:
test_script += f.read()
test_script += b"bm_run(%u, %u)\n" % (param_n, param_m)
# Write full test script if needed
if 0:
with open("%s.full" % test_file, "wb") as f:
f.write(test_script)
# Process script through mpy-cross if needed
if isinstance(target, pyboard.Pyboard) or args.via_mpy:
crash, test_script_target = prepare_script_for_target(args, script_text=test_script)
if crash:
print("CRASH:", test_script_target)
continue
else:
test_script_target = test_script
# Run MicroPython a given number of times
times = []
scores = []
error = None
result_out = None
for _ in range(n_average):
time, norm, result = run_benchmark_on_target(target, test_script_target)
if time < 0 or norm < 0:
error = result
break
if result_out is None:
result_out = result
elif result != result_out:
error = "FAIL self"
break
times.append(time)
scores.append(1e6 * norm / time)
# Check result against truth if needed
if error is None and result_out != "None":
test_file_expected = test_file + ".exp"
if os.path.isfile(test_file_expected):
# Expected result is given by a file, so read that in
with open(test_file_expected) as f:
result_exp = f.read().strip()
else:
# Run CPython to work out the expected result
_, _, result_exp = run_benchmark_on_target(PYTHON_TRUTH, test_script)
if result_out != result_exp:
error = "FAIL truth"
if error is not None:
if not error.startswith("SKIP"):
target_had_error = True
print(error)
else:
t_avg, t_sd = compute_stats(times)
s_avg, s_sd = compute_stats(scores)
print(
"{:.2f} {:.4f} {:.2f} {:.4f}".format(
t_avg, 100 * t_sd / t_avg, s_avg, 100 * s_sd / s_avg
)
)
if 0:
print(" times: ", times)
print(" scores:", scores)
sys.stdout.flush()
return target_had_error
def parse_output(filename):
with open(filename) as f:
params = f.readline()
n, m, _ = params.strip().split()
n = int(n.split("=")[1])
m = int(m.split("=")[1])
data = []
for l in f:
if ": " in l and ": SKIP" not in l and "CRASH: " not in l:
name, values = l.strip().split(": ")
values = tuple(float(v) for v in values.split())
data.append((name,) + values)
return n, m, data
def compute_diff(file1, file2, diff_score):
# Parse output data from previous runs
n1, m1, d1 = parse_output(file1)
n2, m2, d2 = parse_output(file2)
# Print header
if diff_score:
print("diff of scores (higher is better)")
else:
print("diff of microsecond times (lower is better)")
if n1 == n2 and m1 == m2:
hdr = "N={} M={}".format(n1, m1)
else:
hdr = "N={} M={} vs N={} M={}".format(n1, m1, n2, m2)
print(
"{:26} {:>10} -> {:>10} {:>10} {:>7}% (error%)".format(
hdr, file1, file2, "diff", "diff"
)
)
# Print entries
while d1 and d2:
if d1[0][0] == d2[0][0]:
# Found entries with matching names
entry1 = d1.pop(0)
entry2 = d2.pop(0)
name = entry1[0].rsplit("/")[-1]
av1, sd1 = entry1[1 + 2 * diff_score], entry1[2 + 2 * diff_score]
av2, sd2 = entry2[1 + 2 * diff_score], entry2[2 + 2 * diff_score]
sd1 *= av1 / 100 # convert from percent sd to absolute sd
sd2 *= av2 / 100 # convert from percent sd to absolute sd
av_diff = av2 - av1
sd_diff = (sd1**2 + sd2**2) ** 0.5
percent = 100 * av_diff / av1
percent_sd = 100 * sd_diff / av1
print(
"{:26} {:10.2f} -> {:10.2f} : {:+10.2f} = {:+7.3f}% (+/-{:.2f}%)".format(
name, av1, av2, av_diff, percent, percent_sd
)
)
elif d1[0][0] < d2[0][0]:
d1.pop(0)
else:
d2.pop(0)
def main():
cmd_parser = argparse.ArgumentParser(description="Run benchmarks for MicroPython")
cmd_parser.add_argument(
"-t", "--diff-time", action="store_true", help="diff time outputs from a previous run"
)
cmd_parser.add_argument(
"-s", "--diff-score", action="store_true", help="diff score outputs from a previous run"
)
cmd_parser.add_argument(
"-p", "--pyboard", action="store_true", help="run tests via pyboard.py"
)
cmd_parser.add_argument(
"-d", "--device", default="/dev/ttyACM0", help="the device for pyboard.py"
)
cmd_parser.add_argument("-a", "--average", default="8", help="averaging number")
cmd_parser.add_argument(
"--emit", default="bytecode", help="MicroPython emitter to use (bytecode or native)"
)
cmd_parser.add_argument("--heapsize", help="heapsize to use (use default if not specified)")
cmd_parser.add_argument("--via-mpy", action="store_true", help="compile code to .mpy first")
cmd_parser.add_argument("--mpy-cross-flags", default="", help="flags to pass to mpy-cross")
cmd_parser.add_argument(
"N", nargs=1, help="N parameter (approximate target CPU frequency in MHz)"
)
cmd_parser.add_argument("M", nargs=1, help="M parameter (approximate target heap in kbytes)")
cmd_parser.add_argument("files", nargs="*", help="input test files")
args = cmd_parser.parse_args()
if args.diff_time or args.diff_score:
compute_diff(args.N[0], args.M[0], args.diff_score)
sys.exit(0)
# N, M = 50, 25 # esp8266
# N, M = 100, 100 # pyboard, esp32
# N, M = 1000, 1000 # PC
N = int(args.N[0])
M = int(args.M[0])
n_average = int(args.average)
if args.pyboard:
if not args.mpy_cross_flags:
args.mpy_cross_flags = "-march=armv7m"
target = pyboard.Pyboard(args.device)
target.enter_raw_repl()
else:
target = [MICROPYTHON, "-X", "emit=" + args.emit]
if args.heapsize is not None:
target.extend(["-X", "heapsize=" + args.heapsize])
if len(args.files) == 0:
tests_skip = ("benchrun.py",)
if M <= 25:
# These scripts are too big to be compiled by the target
tests_skip += ("bm_chaos.py", "bm_hexiom.py", "misc_raytrace.py")
tests = sorted(
BENCH_SCRIPT_DIR + test_file
for test_file in os.listdir(BENCH_SCRIPT_DIR)
if test_file.endswith(".py") and test_file not in tests_skip
)
else:
tests = sorted(args.files)
print("N={} M={} n_average={}".format(N, M, n_average))
target_had_error = run_benchmarks(args, target, N, M, n_average, tests)
if isinstance(target, pyboard.Pyboard):
target.exit_raw_repl()
target.close()
if target_had_error:
sys.exit(1)
if __name__ == "__main__":
main()
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