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,-95238.008114637996186502277851104736,-3,-84.525129497051239013671875,-33,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-196849.247229794011218473315238952637,-97,-16.61926740154222770229353045579,-89,hallo
2,1760280563,2,0fe7f1b6-2679-4d1e-b295-9084761277d2,1760280565,1760280571,6,./.tests/optimization_example --int_param='-100' --float_param='10' --choice_param='hallo' --int_param_two='-22' --nr_results=1,0,,55d51788cf05,-100,-22,10,hallo,2_0,COMPLETED,BOTORCH_MODULAR,-118294.919999999998253770172595977783,-100,10,-22,hallo
3,1760280576,2,0fe7f1b6-2679-4d1e-b295-9084761277d2,1760280578,1760280584,6,./.tests/optimization_example --int_param='-100' --float_param='-63.80845762938249521312' --choice_param='hallo' --int_param_two='-100' --nr_results=1,0,,55d51788cf05,-100,-100,-63.80845762938249521312172873877,hallo,3_0,COMPLETED,BOTORCH_MODULAR,-267508.558413345017470419406890869141,-100,-63.80845762938249521312172873877,-100,hallo
========================================================================
Current git-hash: 1d2bcd3e242a3f4a1f6fee573121eb6cf0de4710 (last fully tested stable version 1 commit ago [d4f3a833f4e1ac1029085f3f768c598c4c7d3971, 8671])
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...
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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...
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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 10-12 14:49:19] 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: a520fb65-c7ce-41f6-820b-4742c287fe97
___________________________________
| OmniOpt2 - Fine-tuning like a boss! |
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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 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=327 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
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 -100 โ 10 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: -267508.558413345, finishing jobs, finished 1 job : 100%|โโโโโโโโโโ| 4/4 [00:25<00:00, 6.35s/it]
Best RESULT, min (total: 2 + inserted jobs: 2)
โโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโ
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
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ -100.0 โ -100.0 โ -63.808457629382495 โ hallo โ -100 โ -63.808457629382495 โ -100 โ hallo โ -267508.558413345 โ
โโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโ
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
2025-10-12 14:49:22 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-12 14:49:23 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-12 14:49:23 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.05 s/job
2025-10-12 14:49:23 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, eval #1/1 start
2025-10-12 14:49:23 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, starting new job
2025-10-12 14:49:23 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, started new job
2025-10-12 14:49:32 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, new result: -118294.92
2025-10-12 14:49:35 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, best RESULT: -196849.247229794, finishing jobs, finished 1 job
2025-10-12 14:49:36 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, best RESULT: -196849.247229794, getting new HP set (no sbatch)
2025-10-12 14:49:36 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, best RESULT: -196849.247229794, requested 1 jobs, got 1, 1.35 s/job
2025-10-12 14:49:36 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, best RESULT: -196849.247229794, eval #1/1 start
2025-10-12 14:49:36 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, best RESULT: -196849.247229794, starting new job
2025-10-12 14:49:36 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, best RESULT: -196849.247229794, started new job
2025-10-12 14:49:45 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, best RESULT: -196849.247229794, new result: -267508.558413345
2025-10-12 14:49:48 (0fe7f1b6-2679-4d1e-b295-9084761277d2): BOTORCH_MODULAR, best RESULT: -267508.558413345, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1760280562,798.28125,20.9
1760280562,798.28125,100.0