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
0,1761115035,2,050d35c5-2803-46c3-a647-9be640877df9,1761115037,1761115043,6,./.tests/optimization_example --int_param='-35' --float_param='-1.07257008552551269531' --choice_param='1' --int_param_two='-99' --nr_results=1,0,,12cdedc6e991,-35,-99,-1.0725700855255126953125,1,0_0,COMPLETED,SOBOL,-123884.881074435994378291070461273193,-35,-1.0725700855255126953125,-99,1
1,1761115047,2,050d35c5-2803-46c3-a647-9be640877df9,1761115049,1761115055,6,./.tests/optimization_example --int_param='-95' --float_param='-90.63872064482407608921' --choice_param='hallo' --int_param_two='6' --nr_results=1,0,,12cdedc6e991,-95,6,-90.638720644824076089207665063441,hallo,1_0,COMPLETED,BOTORCH_MODULAR,-192274.968865786999231204390525817871,-95,-90.638720644824076089207665063441,6,hallo
========================================================================
Current git-hash: 5fb1300cd80a7e2edf1f6584a390b793002f6724 (last fully tested stable version 11 commits ago [6c64fbd932b26c7ccf94272c45bf171fa01f70f8, 8710])
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 pformat...
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 ผ Importing torch...
โ Importing numpy...
[WARNING 10-22 06:37:13] 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 ง Importing 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...
Run-UUID: b7bb80b3-4689-4ee2-b3a5-40aa567fcf09
.88888. oo .88888. dP d8888b.
d8' `8b d8' `8b 88 `88
88 88 88d8b.d8b. 88d888b. dP 88 88 88d888b. d8888P .aaadP'
88 88 88'`88'`88 88' `88 88 88 88 88' `88 88 88'
Y8. .8P 88 88 88 88 88 88 Y8. .8P 88. .88 88 88.
`8888P' dP dP dP dP dP dP `8888P' 88Y888P' dP Y88888P
88
dP
โ Writing worker creation log...
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --generate_all_jobs_at_once --follow --show_generate_time_table
โ Disabling logging...
โ Setting run folder...
โ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0...
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/0
โ Writing live_share file if it is present...
โ Writing job_start_time file...
โ Writing git information
โ Checking max_eval...
โ Calculating number of steps...
โ Adding excluded nodes...
โ Setting global generation strategy
โ 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=416 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
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
โโโโโโโโโโโโโโโโโณโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโณโโโโโโโโโโโโโ
โ Name โ Type โ Lower bound โ Upper bound โ Values โ Type โ Log Scale? โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ int_param โ range โ -100 โ 10 โ โ int โ No โ
โ float_param โ range โ -100 โ 10 โ โ float โ No โ
โ choice_param โ choice โ โ โ 1, 2, 4, 8, 16, hallo โ โ โ
โ int_param_two โ range โ -100 โ 10 โ โ int โ No โ
โโโโโโโโโโโโโโโโโดโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโโโโโโโ
Result-Names
โโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โ Result-Name โ Min or max? โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ RESULT โ min โ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
โ Write files and show overview
SOBOL, best RESULT: -192274.968865787, finishing jobs, finished 1 job : 100%|โโโโโโโโโโ| 2/2 [00:23<00:00, 11.55s/it]
Best RESULT, min (total: 2)
โโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโ
โ OO_Info_int_param โ OO_Info_int_param_two โ OO_Info_float_param โ OO_Info_choice_param โ int_param โ float_param โ int_param_two โ choice_param โ RESULT โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ -95 โ 6 โ -90.63872064482408 โ hallo โ -95 โ -90.63872064482408 โ 6 โ hallo โ -192274.968865787 โ
โโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโ
Runtime Infos
โโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โ Number of evaluations โ Min time โ Max time โ Average time โ Median time โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 2 โ 6.00 sec โ 6.00 sec โ 6.00 sec โ 6.00 sec โ
โโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
Model generation times
โโโโโโโโโโโโโณโโโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโโ
โ Iteration โ Seconds โ Jobs โ Time per job โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 1 โ 0.016 โ 1 โ 0.016 โ
โ 2 โ 0.535 โ 1 โ 0.535 โ
โโโโโโโโโโโโโผโโโโโโโโโโผโโโโโโโผโโโโโโโโโโโโโโโค
โ Average โ 0.275 โ โ โ
โ Median โ 0.275 โ โ โ
โ Total โ 0.551 โ โ โ
โ Max โ 0.535 โ โ โ
โ Min โ 0.016 โ โ โ
โโโโโโโโโโโโโดโโโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโโ
Job submission durations
โโโโโโโโโโโณโโโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโโ
โ Batch โ Seconds โ Jobs โ Time per job โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 1 โ 0.170 โ 1 โ 0.170 โ
โ 2 โ 0.097 โ 1 โ 0.097 โ
โโโโโโโโโโโผโโโโโโโโโโผโโโโโโโผโโโโโโโโโโโโโโโค
โ Average โ 0.134 โ โ โ
โ Median โ 0.134 โ โ โ
โ Total โ 0.268 โ โ โ
โ Max โ 0.170 โ โ โ
โ Min โ 0.097 โ โ โ
โโโโโโโโโโโดโโโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโโ
2025-10-22 06:37:15 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, Started OmniOpt2 run...
2025-10-22 06:37:15 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, getting new HP set (no sbatch)
2025-10-22 06:37:15 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2025-10-22 06:37:15 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, eval #1/1 start
2025-10-22 06:37:15 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, starting new job
2025-10-22 06:37:15 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, started new job
2025-10-22 06:37:24 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, new result: RESULT: -123884.881074
2025-10-22 06:37:26 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, best RESULT: -123884.881074436, finishing jobs, finished 1 job
2025-10-22 06:37:27 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, best RESULT: -123884.881074436, getting new HP set (no sbatch)
2025-10-22 06:37:27 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, best RESULT: -123884.881074436, requested 1 jobs, got 1, 0.53 s/job
2025-10-22 06:37:27 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, best RESULT: -123884.881074436, eval #1/1 start
2025-10-22 06:37:27 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, best RESULT: -123884.881074436, starting new job
2025-10-22 06:37:27 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, best RESULT: -123884.881074436, started new job
2025-10-22 06:37:36 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, best RESULT: -123884.881074436, new result: RESULT: -192274.968866
2025-10-22 06:37:38 (050d35c5-2803-46c3-a647-9be640877df9): SOBOL, best RESULT: -192274.968865787, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1761115035,805.828125,21.1