Created
May 14, 2025 02:32
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| from concurrent.futures import ProcessPoolExecutor | |
| import optuna | |
| from optuna.storages import JournalStorage | |
| from optuna.storages.journal import JournalFileBackend | |
| storage = JournalStorage(JournalFileBackend("./optuna_journal_storage.log")) | |
| def objective(trial: optuna.Trial) -> float: | |
| x = trial.suggest_float("x", -10, 10) | |
| return x ** 2 | |
| if __name__ == "__main__": | |
| study = optuna.create_study(storage=storage) | |
| with ProcessPoolExecutor(max_workers=20) as pool: | |
| for i in range(100): | |
| pool.submit(study.optimize, objective, n_trials=10) | |
| print(f"{len(study.trials)=}") | |
| print(f"{len({trial.number for trial in study.trials})=}") | |
| print(f"{len({trial._trial_id for trial in study.trials})=}") |
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