trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,arm_name,trial_status,generation_node,RESULT,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-10137.796944293799242586828768253326,-19,-11.83352887630462646484375,-6,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-284551.316387280006892979145050048828,-90,-99.088422212693629376190074253827,-88,4
2,1761109061,2,fb502e71-e000-4918-9ef9-a003b187c274,1761109063,1761109069,6,./.tests/optimization_example --int_param='-19' --float_param='-100' --choice_param='4' --int_param_two='-100' --nr_results=1,0,,0b6688a1fef8,-19,-100,-100,4,2_0,COMPLETED,BOTORCH_MODULAR,-225455.720000000001164153218269348145,-19,-100,-100,4
3,1761109073,2,fb502e71-e000-4918-9ef9-a003b187c274,1761109075,1761109081,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='4' --int_param_two='-28' --nr_results=1,0,,0b6688a1fef8,-100,-28,-100,4,3_0,COMPLETED,BOTORCH_MODULAR,-231525.320000000006984919309616088867,-100,-100,-28,4
========================================================================
Current git-hash: 6c64fbd932b26c7ccf94272c45bf171fa01f70f8 (last fully tested stable version 9 commits ago [c3546d63a689a45925682d4a9ddd9bc196dc9699, 8701])
Using coverage run -p because $RUN_WITH_COVERAGE is set
β Importing logging...
β Importing warnings...
β Importing argparse...
β Importing datetime...
β Importing dataclass...
β Importing socket...
β Importing stat...
β Importing pwd...
β Importing base64...
β Importing json...
β Importing yaml...
β Importing toml...
β Importing csv...
β Importing ast...
β Importing rich.table...
β Importing rich print...
β Importing rich.pretty...
β Importing pformat...
β Importing rich.prompt...
β Importing types.FunctionType...
β Importing typing...
β Importing ThreadPoolExecutor...
β Importing submitit.LocalExecutor...
β Importing submitit.Job...
β Importing importlib.util...
β Importing platform...
β Importing inspect frame info...
β Importing pathlib.Path...
β Importing uuid...
β Importing cowsay...
β Importing shutil...
β Importing itertools.combinations...
β Importing os.listdir...
β Importing os.path...
β Importing PIL.Image...
β Importing sixel...
β Importing subprocess...
β Importing tqdm...
β Importing beartype...
β Importing statistics...
β Trying to import pyfiglet...
β Importing helpers...
β Parsing arguments...
β Ή Importing torch...
β Importing numpy...
[WARNING 10-22 04:57:38] 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]`.
β ¦ Importing ax...
β Importing ax.core.generator_run...
β Importing Cont_X_trans and Y_trans from ax.adapter.registry...
β Importing ax.core.arm...
β Importing ax.core.objective...
β Importing ax.core.Metric...
β Importing ax.exceptions.core...
β Importing ax.exceptions.generation_strategy...
β Importing CORE_DECODER_REGISTRY...
β Trying ax.generation_strategy.generation_node...
β Importing GenerationStep, GenerationStrategy from generation_strategy...
β Importing GenerationNode from generation_node...
β Importing ExternalGenerationNode...
β Importing MaxTrials...
β Importing GeneratorSpec...
β Importing Models from ax.generation_strategy.registry...
β Importing get_pending_observation_features...
β Importing load_experiment...
β Importing save_experiment...
β Importing save_experiment_to_db...
β Importing TrialStatus...
β Importing Data...
β Importing Experiment...
β Importing parameter types...
β Importing TParameterization...
β Importing pandas...
β Importing AxClient and ObjectiveProperties...
β Importing RandomForestRegressor...
β Importing botorch...
β Importing submitit...
β Importing ax logger...
β Importing SQL-Storage-Stuff...
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: e8e98eb2-6823-4a48-84e6-7e660ede2a03
_________________________________________________
/ \
| OmniOpt2 - Fine-tuning on a quantum level β SchrΓΆ |
| dingerβs hyperparameter. |
\ /
=================================================
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β 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
β Disabling logging...
β Setting run folder...
β Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1...
β Writing revert_to_random_when_seemingly_exhausted file ...
β Writing username state file...
β Writing result names file...
β Writing result min/max file...
β Saving state files...
Run-folder: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
β Writing live_share file if it is present...
β Writing job_start_time file...
β Writing git information
β Checking max_eval...
β Calculating number of steps...
β Adding excluded nodes...
β Setting global generation strategy
β Initializing ax_client...
β Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=411 for live-results.
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
βββββββββββββββββ³ββββββββββββββββββ³ββββββββββββββ³ββββββββββββββ³ββββββββββββββββββββββββ³ββββββββ³βββββββββββββ
β Name β Type β Lower bound β Upper bound β Values β Type β Log Scale? β
β‘βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ©
β int_param β rangeparameter β -100 β 10 β β int β No β
β float_param β rangeparameter β -100 β 10 β β float β No β
β choice_param β choiceparameter β β β 1, 2, 4, 8, 16, hallo β β β
β int_param_two β rangeparameter β -100 β 10 β β int β No β
βββββββββββββββββ΄ββββββββββββββββββ΄ββββββββββββββ΄ββββββββββββββ΄ββββββββββββββββββββββββ΄ββββββββ΄βββββββββββββ
Result-Names
βββββββββββββββ³ββββββββββββββ
β Result-Name β Min or max? β
β‘ββββββββββββββββββββββββββββ©
β RESULT β min β
βββββββββββββββ΄ββββββββββββββ
β Write files and show overview
BOTORCH_MODULAR, best RESULT: -284551.31638728, finishing jobs, finished 1 job : 100%|ββββββββββ| 4/4 [00:23<00:00, 5.78s/it]
Best RESULT, min (total: 2 + inserted jobs: 2)
βββββββββββββββββββββ³ββββββββββββββββββββββββ³ββββββββββββββββββββββ³βββββββββββββββββββββββ³ββββββββββββ³βββββββββββββββββββββ³ββββββββββββββββ³βββββββββββββββ³βββββββββββββββββββ
β OO_Info_int_param β OO_Info_int_param_two β OO_Info_float_param β OO_Info_choice_param β int_param β float_param β int_param_two β choice_param β RESULT β
β‘ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ©
β nan β nan β nan β nan β -90 β -99.08842221269363 β -88 β 4 β -284551.31638728 β
βββββββββββββββββββββ΄ββββββββββββββββββββββββ΄ββββββββββββββββββββββ΄βββββββββββββββββββββββ΄ββββββββββββ΄βββββββββββββββββββββ΄ββββββββββββββββ΄βββββββββββββββ΄βββββββββββββββββββ
Runtime Infos
βββββββββββββββββββββββββ³ββββββββββββ³ββββββββββββ³βββββββββββββββ³ββββββββββββββ
β Number of evaluations β Min time β Max time β Average time β Median time β
β‘βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ©
β 2 β 6.00 sec β 6.00 sec β 6.00 sec β 6.00 sec β
βββββββββββββββββββββββββ΄ββββββββββββ΄ββββββββββββ΄βββββββββββββββ΄ββββββββββββββ
2025-10-22 04:57:40 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-22 04:57:41 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-22 04:57:41 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.04 s/job
2025-10-22 04:57:41 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, eval #1/1 start
2025-10-22 04:57:41 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, starting new job
2025-10-22 04:57:41 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, started new job
2025-10-22 04:57:50 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, new result: -225455.72
2025-10-22 04:57:52 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, best RESULT: -284551.31638728, finishing jobs, finished 1 job
2025-10-22 04:57:53 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, best RESULT: -284551.31638728, getting new HP set (no sbatch)
2025-10-22 04:57:53 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, best RESULT: -284551.31638728, requested 1 jobs, got 1, 1.01 s/job
2025-10-22 04:57:53 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, best RESULT: -284551.31638728, eval #1/1 start
2025-10-22 04:57:53 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, best RESULT: -284551.31638728, starting new job
2025-10-22 04:57:53 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, best RESULT: -284551.31638728, started new job
2025-10-22 04:58:02 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, best RESULT: -284551.31638728, new result: -231525.32
2025-10-22 04:58:03 (fb502e71-e000-4918-9ef9-a003b187c274): BOTORCH_MODULAR, best RESULT: -284551.31638728, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1761109060,809.14453125,24.6