c-bata

import numpy as np
from datetime import datetime
import optuna
import cProfile
import time
from optuna.visualization._rank import _get_rank_info

def sphere(trial: optuna.Trial) -> float:
    X = np.asarray([trial.suggest_float(f"x{i}", -5, 5) for i in range(10)])
    return np.sum(X ** 2)

c-bata

# Requirements:
# $ pip install optuna optuna-dashboard diffusers transformers accelerate scipy safetensors xformers botorch
#
# Process A: Launch a process that suggest new params and generate images.
# $ python generator.py
#
# Process B: Launch an Optuna Dashboard process.
# $ optuna-dashboard sqlite:///db.sqlite3 --artifact-dir ./artifact
import os
import time

c-bata

from __future__ import annotations

import os
import shutil
import uuid
import tempfile
from typing import NoReturn

import optuna
import streamlit as st

c-bata

import sys
import numpy as np

from kurobako import problem
from kurobako.problem import Problem

from typing import List
from typing import Optional

c-bata

import argparse
import os
import subprocess


def run(args: argparse.Namespace) -> None:
    kurobako_cmd = os.path.join(args.path_to_kurobako, "kurobako")
    subprocess.run(f"{kurobako_cmd} --version", shell=True)

    if not (os.path.exists(args.data_dir) and os.path.isdir(args.data_dir)):

c-bata

import math
import time
import optuna
import numpy as np


def objective(trial: optuna.Trial, n_params: int) -> float:
    return sum([
        math.sin(trial.suggest_float('param-{}'.format(i), 0, math.pi * 2))
        for i in range(n_params)

c-bata

# Requirements:
# $ pip install optuna optuna-dashboard[preferential] diffusers transformers accelerate scipy safetensors xformers
#
# Process A: Launch a process that suggest new params and generate images.
# $ python main.py
#
# Process B: Launch an Optuna Dashboard process.
# $ optuna-dashboard sqlite:///db.sqlite3 --artifact-dir ./artifact
import time

c-bata

# $ docker run -d --rm --platform linux/amd64 -p 5432:5432 -e POSTGRES_USER=root -e POSTGRES_PASSWORD=root -e POSTGRES_DB=optuna --name optuna-postgres postgres:12.10

# $ docker run -it --rm --platform linux/amd64 --network host -v $(pwd):/usr/src python:3.10 bash
# # cd /usr/src
# # pip install -U setuptools pip psycopg2
# # pip install -e .

from __future__ import annotations

import math

c-bata

# docker run -d --rm -p 3306:3306 -e MYSQL_USER=optuna -e MYSQL_DATABASE=optuna -e MYSQL_PASSWORD=password -e MYSQL_ALLOW_EMPTY_PASSWORD=yes --name optuna-mysql mysql:8.0
from __future__ import annotations

import math
import threading
import time

from sqlalchemy import event
from sqlalchemy.engine.base import Engine

c-bata

Summary

Optuna uses CachedStorage, a wrapper class of BaseStorage interface, since the API calls of BaseStorage interface tends to be expensive. However, the implementation of CachedStorage is too complex and it's actually not a wrapper of BaseStorage since we've introduced some private storage APIs for CachedStorage like storage._check_and_set_param_distribution() and storage._get_trials().

So I implemented a prototype of a new simple caching mechanism to remove CachedStorage from Optuna. The change is only about 50 lines, but it is more efficient in many situations than CachedStorage. https://github.com/optuna/optuna/compare/master...c-bata:add-simple-inmemory-cache?expand=1

For the benchmark of the new caching mechanism, I prepared the same benchmark scenario with optuna/optuna#11