benchmarks/run_cmaes_benchmarks.py [11:38]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
os.environ['OPENBLAS_NUM_THREADS'] = '1'
os.environ['OMP_NUM_THREADS'] = '1'

import json

from benchmark_problems import (
    branin_100,
    hartmann6_100,
    hartmann6_1000,
    hartmann6_random_subspace_1000,
)

from ax.benchmark.benchmark import benchmark_minimize_callable
from ax.storage.json_store.encoder import object_to_json
import cma  # cma==2.7.0


def run_hartmann6_benchmarks(D, rep, random_subspace=False):
    if D == 100:
        problem = hartmann6_100
    elif D == 1000 and not random_subspace:
        problem = hartmann6_1000
    elif D == 1000 and random_subspace:
        problem = hartmann6_random_subspace_1000

    experiment, f = benchmark_minimize_callable(
        problem=problem,
        num_trials=200,
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



benchmarks/run_turbo_benchmarks.py [13:41]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
os.environ['OPENBLAS_NUM_THREADS'] = '1'
os.environ['OMP_NUM_THREADS'] = '1'

import json
import numpy as np

from benchmark_problems import (
    branin_100,
    hartmann6_100,
    hartmann6_1000,
    hartmann6_random_subspace_1000,
)

from ax.benchmark.benchmark import benchmark_minimize_callable
from ax.storage.json_store.encoder import object_to_json
import turbo


def run_hartmann6_benchmarks(D, rep, random_subspace=False):
    if D == 100:
        problem = hartmann6_100
    elif D == 1000 and not random_subspace:
        problem = hartmann6_1000
    elif D == 1000 and random_subspace:
        problem = hartmann6_random_subspace_1000

    experiment, f = benchmark_minimize_callable(
        problem=problem,
        num_trials=200,
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -