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,-163659.018503827013773843646049499512,-71,-97.60823480784893035888671875,2,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-52136.431563720201666001230478286743,10,0.024946596063956130023830937148,-67,hallo
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-267979.719999999972060322761535644531,-100,-100,-64,8
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-273099.561034568992909044027328491211,-100,-67.882536340723532930496730841696,-100,8
4,1756885615,2,619cb885-9548-440b-b169-07db3dd79453,1756885617,1756885623,6,./.tests/optimization_example --int_param='-100' --float_param='967.46320347227742786345' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,87e1cc86a8e6,-100,-100,967.463203472277427863446064293385,8,4_0,COMPLETED,BOTORCH_MODULAR,-9483335.10038118064403533935546875,-100,967.463203472277427863446064293385,-100,8
5,1756885627,2,619cb885-9548-440b-b169-07db3dd79453,1756885629,1756885635,6,./.tests/optimization_example --int_param='-100' --float_param='1000' --choice_param='hallo' --int_param_two='-15' --nr_results=1,0,,87e1cc86a8e6,-100,-15,1000,hallo,5_0,COMPLETED,BOTORCH_MODULAR,-10015080.5199999995529651641845703125,-100,1000,-15,hallo
========================================================================
Current git-hash: d1319821974a6b8830eaedcce29a62bdd0f28d54 (last fully tested stable version 10 commits ago [1d9b1f4d12330ab809ba434badde9e6f4daab2ec, 8496])
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 น Importing torch...
โ Importing numpy...
[WARNING 09-03 07:46:51] 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 ฆ 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...
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: d397e65d-1cb6-4261-8299-491f9754f127
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โ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --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/2...
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/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
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...
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
โ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=8 for live-results.
โ น Initializing live share...
โ น Initializing live share...
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 9 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
โ Name โ Type โ Lower bound โ Upper bound โ Values โ Type โ Log Scale? โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ int_param โ rangeparameter โ -100 โ 10 โ โ int โ No โ
โ float_param โ rangeparameter โ -1000 โ 1000 โ โ float โ No โ
โ choice_param โ choiceparameter โ โ โ 1, 2, 4, 8, 16, hallo โ โ โ
โ int_param_two โ rangeparameter โ -100 โ 10 โ โ int โ No โ
โโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโโโโโโโ
Result-Names
โโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โ Result-Name โ Min or max? โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ RESULT โ min โ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
โ Write files and show overview
BOTORCH_MODULAR, best RESULT: -10015080.52, finishing jobs, finished 1 job : 100%|โโโโโโโโโโ| 6/6 [00:24<00:00, 4.06s/it]
Best RESULT, min (total: 2 + inserted jobs: 4)
โโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโ
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
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ -100.0 โ -15.0 โ 1000.0 โ hallo โ -100 โ 1000.0 โ -15 โ hallo โ -10015080.52 โ
โโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโ
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
2025-09-03 07:46:53 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-09-03 07:46:55 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-09-03 07:46:55 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.60 s/job
2025-09-03 07:46:55 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, eval #1/1 start
2025-09-03 07:46:55 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, starting new job
2025-09-03 07:46:55 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, started new job
2025-09-03 07:47:04 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, new result: -9483335.10038118
2025-09-03 07:47:05 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, best RESULT: -9483335.10038118, finishing jobs, finished 1 job
2025-09-03 07:47:07 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, best RESULT: -9483335.10038118, getting new HP set (no sbatch)
2025-09-03 07:47:07 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, best RESULT: -9483335.10038118, requested 1 jobs, got 1, 1.56 s/job
2025-09-03 07:47:07 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, best RESULT: -9483335.10038118, eval #1/1 start
2025-09-03 07:47:07 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, best RESULT: -9483335.10038118, starting new job
2025-09-03 07:47:07 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, best RESULT: -9483335.10038118, started new job
2025-09-03 07:47:16 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, best RESULT: -9483335.10038118, new result: -10015080.52
2025-09-03 07:47:17 (619cb885-9548-440b-b169-07db3dd79453): BOTORCH_MODULAR, best RESULT: -10015080.52, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1756885613,797.65625,25.0