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optunaを使って他プログラムのパラメータを最適化する
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#!/usr/bin/python | |
# coding: UTF-8 | |
# 実行ファイルはコマンドライン引数としてパラメータを受け取り,目的関数値のみを標準出力に出力するものとする | |
# $ ./a.out 1.2 10 | |
# 42 | |
# configファイルには | |
# [varname] [vartype] [range] | |
# を書いておく | |
# 例えばコマンドライン引数としてdouble x ( 0 <= x <= 1.5 ),int n ( 1 <= n <= 100 )を受け取るプログラム(実行ファイル:a.out)なら | |
# config.txt: | |
# | |
# x uniform 0 1.5 | |
# n int 1 100 | |
# | |
# のように書いて, | |
# python opt.py config.txt ./a.out | |
# とすれば最適化してくれる | |
import asyncio | |
import sys | |
import argparse | |
import optuna | |
async def res_cmd(cmd, params, trial): | |
proc = await asyncio.create_subprocess_exec( | |
cmd, *params, stdout=asyncio.subprocess.PIPE) | |
# Read one line of output. | |
step = 0 | |
while True: | |
data = await proc.stdout.readline() | |
if not data: | |
break | |
value = float(data.decode("ascii").rstrip()) | |
trial.report(value, step) | |
if trial.should_prune(step): | |
proc.kill() | |
raise optuna.structs.TrialPruned() | |
step += 1 | |
# Wait for the subprocess exit. | |
await proc.wait() | |
return value | |
def set_objective(configfilename, execfilename): | |
with open(configfilename) as f: | |
lines = f.readlines() | |
varinfo = [] | |
for line in lines: | |
param = line.split() | |
varname = param[0] | |
vartype = param[1] | |
varparam = param[2:] | |
varinfo.append((varname, vartype, varparam)) | |
def objective(trial): | |
varlist = [] | |
for varname, vartype, varparam in varinfo: | |
if vartype == "int": | |
varlist.append(trial.suggest_int(varname,int(varparam[0]),int(varparam[1]))) | |
elif vartype == "uniform": | |
varlist.append(trial.suggest_uniform(varname,float(varparam[0]),float(varparam[1]))) | |
elif vartype == "loguniform": | |
varlist.appned(trial.suggest_loguniform(varname,float(varparam[0]),float(varparam[1]))) | |
elif vartype == "discrete_uniform": | |
varlist.append(trial.suggest_discrete_uniform(varname,float(varparam[0]),float(varparam[1]),float(varparam[2]))) | |
valstrlist = [str(v) for v in varlist] | |
loop = asyncio.get_event_loop() | |
ret = loop.run_until_complete(res_cmd(execfilename, valstrlist, trial)) | |
return ret | |
return objective | |
def main(): | |
parser = argparse.ArgumentParser() | |
parser.add_argument("config") | |
parser.add_argument("executable") | |
parser.add_argument("n_trials", type=int) | |
args = parser.parse_args() | |
study = optuna.create_study(pruner=optuna.pruners.MedianPruner()) | |
study.optimize(set_objective(args.config, args.executable), n_trials=args.n_trials) | |
print(study.best_params) | |
if __name__ == "__main__": | |
main() |
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pruner対応しました