========================================================================
Current git-hash: 33c5e75617b34647b253b07d1c9c22389a452f14 (last fully tested stable version 18 commits ago [fd169efde52c08105aa8078cc890532aea608c04, 8509])
Using coverage run -p because $RUN_WITH_COVERAGE is set
โ Importing logging...โ Importing warnings...โ Importing argparse...โ Importing datetime...โ Importing dataclass...โ Importing socket...โ Importing stat...โ Importing pwd...โ Importing base64...โ Importing json...โ Importing yaml...โ Importing toml...โ Importing csv...โ Importing ast...โ Importing rich.table...โ Importing rich print...โ Importing rich.pretty...โ Importing rich.prompt...โ Importing types.FunctionType...โ Importing typing...โ Importing ThreadPoolExecutor...โ Importing submitit.LocalExecutor...โ Importing submitit.Job...โ Importing importlib.util...โ Importing platform...โ Importing inspect frame info...โ Importing pathlib.Path...โ Importing uuid...โ Importing cowsay...โ Importing shutil...โ Importing itertools.combinations...โ Importing os.listdir...โ Importing os.path...โ Importing PIL.Image...โ Importing sixel...โ Importing subprocess...โ Importing tqdm...โ Importing beartype...โ Importing statistics...โ Trying to import pyfiglet...โ Importing helpers...โ Parsing arguments...โ ธImporting torch...โ Importing numpy...
[WARNING 09-10 18:24:45] ax.service.utils.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
โ ฆImporting ax...โ Importing ax.core.generator_run...โ Importing Cont_X_trans and Y_trans from ax.adapter.registry...โ Importing ax.core.arm...โ Importing ax.core.objective...โ Importing ax.core.Metric...โ Importing ax.exceptions.core...โ Importing ax.exceptions.generation_strategy...โ Importing CORE_DECODER_REGISTRY...โ Trying ax.generation_strategy.generation_node...โ Importing GenerationStep, GenerationStrategy from generation_strategy...โ Importing GenerationNode from generation_node...โ Importing ExternalGenerationNode...โ Importing MaxTrials...โ Importing GeneratorSpec...โ Importing Models from ax.generation_strategy.registry...โ Importing get_pending_observation_features...โ Importing load_experiment...โ Importing save_experiment...โ Importing save_experiment_to_db...โ Importing TrialStatus...โ Importing Data...โ Importing Experiment...โ Importing parameter types...โ Importing TParameterization...โ Importing pandas...โ Importing AxClient and ObjectiveProperties...โ Importing RandomForestRegressor...โ Importing botorch...โ Importing submitit...โ Importing ax logger...โ Importing SQL-Storage-Stuff...Using old run's --time: 60Using old run's --gpus: 0
Run-UUID: 66a3fb54-f512-4053-be92-3c1be458a370
.oOOOo. .oOOOo.
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o O O o o o O o o O O o O O
`o O' o O O O o O `o O' o O o .O
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โ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
โ Disabling logging...โ Setting run folder...โ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1...โ Writing revert_to_random_when_seemingly_exhausted file ...โ Writing username state file...โ Writing result names file...โ Writing result min/max file...โ Saving state files...Run-folder: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
โ Writing live_share file if it is present...โ Writing job_start_time file...โ Writing git informationโ Checking max_eval...โ Calculating number of steps...โ Adding excluded nodes...โ Setting global generation strategyโ Initializing ax_client...โ Setting orchestrator...See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=67 for live-results.โ Initializing live share...โ Initializing live share...You have 4 CPUs available for the main process.No CUDA devices found.Generation strategy: BOTORCH_MODULAR for 5 steps.
Run-Program: ./.tests/optimization_example --int_param='%(int_param)' --float_param='%(float_param)' --choice_param='%(choice_param)' --int_param_two='%(int_param_two)' --nr_results=1
Experiment parameters
โโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโณโโโโโโโโโโโโโ
โName โType โLower boundโUpper boundโValues โType โLog Scale?โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โint_param โrangeparameter โ-100 โ10 โโint โNo โ
โfloat_param โrangeparameter โ-100 โ10 โโfloatโNo โ
โchoice_param โchoiceparameterโโโ1, 2, 4, 8, 16, halloโโโ
โint_param_twoโrangeparameter โ-100 โ10 โโint โNo โ
โโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโโโโโโโ
Result-Names
โโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โResult-NameโMin or max?โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โRESULT โ minโ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
โ Write files and show overview
BOTORCH_MODULAR, best RESULT: -308318.92, finishing jobs, finished 1 job : 100%|โโโโโโโโโโ| 4/4 [00:23<00:00, 5.82s/it]
Best RESULT, min (total: 2 + inserted jobs: 2)
โโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโ
โOO_Info_int_paramโOO_Info_int_param_twoโOO_Info_float_paramโOO_Info_choice_paramโint_paramโfloat_paramโint_param_twoโchoice_paramโRESULT โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ-89.0 โ-100.0 โ-100.0 โ8.0 โ-89 โ-100.0 โ-100 โ8 โ-308318.92โ
โโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโ
Runtime Infos
โโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โNumber of evaluationsโMin time โMax time โAverage timeโMedian timeโ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 2 โ 6.00 sec โ 6.00 sec โ 6.00 sec โ 6.00 sec โ
โโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
2025-09-10 18:24:46 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-09-10 18:24:47 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-09-10 18:24:47 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.84 s/job
2025-09-10 18:24:47 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, eval #1/1 start
2025-09-10 18:24:47 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, starting new job
2025-09-10 18:24:47 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, started new job
2025-09-10 18:24:56 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, new result: -308318.92
2025-09-10 18:24:58 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, best RESULT: -308318.92, finishing jobs, finished 1 job
2025-09-10 18:24:59 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, best RESULT: -308318.92, getting new HP set (no sbatch)
2025-09-10 18:24:59 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, best RESULT: -308318.92, requested 1 jobs, got 1, 0.82 s/job
2025-09-10 18:24:59 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, best RESULT: -308318.92, eval #1/1 start
2025-09-10 18:24:59 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, best RESULT: -308318.92, starting new job
2025-09-10 18:24:59 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, best RESULT: -308318.92, started new job
2025-09-10 18:25:08 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, best RESULT: -308318.92, new result: -251870.12
2025-09-10 18:25:09 (acc4de68-c4a1-4bc9-8fed-86367d7a5413): BOTORCH_MODULAR, best RESULT: -308318.92, finishing jobs, finished 1 job
Job submission durations
โโโโโโโโโโโณโโโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโโ
โ Batch โ Seconds โ Jobs โ Time per job โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 1 โ 0.176 โ 1 โ 0.176 โ
โ 2 โ 0.102 โ 1 โ 0.102 โ
โโโโโโโโโโโผโโโโโโโโโโผโโโโโโโผโโโโโโโโโโโโโโโค
โ Average โ 0.139 โ โ โ
โ Median โ 0.139 โ โ โ
โ Total โ 0.278 โ โ โ
โ Max โ 0.176 โ โ โ
โ Min โ 0.102 โ โ โ
โโโโโโโโโโโดโโโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโโ
Model generation times
โโโโโโโโโโโโโณโโโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโโ
โ Iteration โ Seconds โ Jobs โ Time per job โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 1 โ 0.836 โ 1 โ 0.836 โ
โ 2 โ 0.825 โ 1 โ 0.825 โ
โโโโโโโโโโโโโผโโโโโโโโโโผโโโโโโโผโโโโโโโโโโโโโโโค
โ Average โ 0.830 โ โ โ
โ Median โ 0.830 โ โ โ
โ Total โ 1.661 โ โ โ
โ Max โ 0.836 โ โ โ
โ Min โ 0.825 โ โ โ
โโโโโโโโโโโโโดโโโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโโ