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Copy pathrun-perfbench-table.py
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·325 lines (280 loc) · 10.4 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 time
import argparse
from glob import glob
from rich.live import Live
from rich.console import Console
from rich.table import Table
sys.path.append("../tools")
import pyboard
# Paths for host executables
if os.name == "nt":
CPYTHON3 = os.getenv("MICROPY_CPYTHON3", "python3.exe")
MICROPYTHON = os.getenv("MICROPY_MICROPYTHON", "../ports/windows/micropython.exe")
else:
CPYTHON3 = os.getenv("MICROPY_CPYTHON3", "python3")
MICROPYTHON = os.getenv("MICROPY_MICROPYTHON", "../ports/unix/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, run_command=None):
output = b""
err = None
if isinstance(target, pyboard.Pyboard):
# Run via pyboard interface
try:
target.enter_raw_repl()
start_ts = time.monotonic_ns()
output = target.exec_(script)
if run_command:
start_ts = time.monotonic_ns()
output = target.exec_(run_command)
end_ts = time.monotonic_ns()
except pyboard.PyboardError as er:
end_ts = time.monotonic_ns()
err = er
finally:
target.exit_raw_repl()
else:
# Run local executable
try:
if run_command:
script += run_command
start_ts = time.monotonic_ns()
p = subprocess.run(
target, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, input=script
)
end_ts = time.monotonic_ns()
output = p.stdout
except subprocess.CalledProcessError as er:
end_ts = time.monotonic_ns()
err = er
return str(output.strip(), "ascii"), err, (end_ts - start_ts) // 1000
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, run_command=None):
output, err, runtime_us = run_script_on_target(target, script, run_command)
if err is None:
time, norm, result = output.split(None, 2)
try:
return int(time), int(norm), result, runtime_us
except ValueError:
return -1, -1, "CRASH: %r" % output, runtime_us
else:
return -1, -1, "CRASH: %r" % err, runtime_us
def run_benchmarks(console, 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"
table = Table(show_header=True)
table.add_column("Test")
table.add_column("Time", justify="right")
table.add_column("Score", justify="right")
table.add_column("Ref Time", justify="right")
live = Live(table, console=console)
live.start()
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")
table.add_row(test_file, *(["skip"] * 6))
continue
# Create test script
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()
bm_run = 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)
# Run MicroPython a given number of times
times = []
runtimes = []
scores = []
error = None
result_out = None
for _ in range(n_average):
self_time, norm, result, runtime_us = run_benchmark_on_target(
target, test_script, bm_run
)
if self_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(self_time)
runtimes.append(runtime_us)
scores.append(1e6 * norm / self_time)
# Check result against truth if needed
if error is None and result_out != "None":
_, _, result_exp, _ = run_benchmark_on_target(PYTHON_TRUTH, test_script, bm_run)
if result_out != result_exp:
error = "FAIL truth"
if error is not None:
print(test_file, error)
if error == "no matching params":
table.add_row(test_file, *([None] * 3))
else:
table.add_row(test_file, *(["error"] * 3))
else:
t_avg, t_sd = compute_stats(times)
r_avg, r_sd = compute_stats(runtimes)
s_avg, s_sd = compute_stats(scores)
# print(
# "{:.2f} {:.4f} {:.2f} {:.4f} {:.2f} {:.4f}".format(
# t_avg, 100 * t_sd / t_avg, s_avg, 100 * s_sd / s_avg, r_avg, 100 * r_sd / r_avg
# )
# )
table.add_row(
test_file,
f"{t_avg:.2f}±{100 * t_sd / t_avg:.1f}%",
f"{s_avg:.2f}±{100 * s_sd / s_avg:.1f}%",
f"{r_avg:.2f}±{100 * r_sd / r_avg:.1f}%",
)
if 0:
print(" times: ", times)
print(" scores:", scores)
live.update(table, refresh=True)
live.stop()
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 l.find(": ") != -1 and l.find(": skip") == -1 and l.find("CRASH: ") == -1:
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(
"{:24} {:>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(
"{:24} {: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("N", nargs=1, help="N parameter (approximate target CPU frequency)")
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:
target = pyboard.Pyboard(args.device)
target.enter_raw_repl()
else:
target = [MICROPYTHON, "-X", "emit=" + args.emit]
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)
console = Console()
print("N={} M={} n_average={}".format(N, M, n_average))
run_benchmarks(console, target, N, M, n_average, tests)
if isinstance(target, pyboard.Pyboard):
target.exit_raw_repl()
target.close()
if __name__ == "__main__":
main()
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