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,-44266.864706346401362679898738861084,2,-52.129628658294677734375,-29,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-167855.235994438990019261837005615234,-76,-11.052152486315558022056393383536,-95,hallo
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-289586.248014305019751191139221191406,-100,-78.320902548102935725182760506868,-100,hallo
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-257847.720000000001164153218269348145,-100,-100,-56,hallo
4,1760270869,2,b9d78f43-4933-4df6-885d-0f52fffbeb19,1760270871,1760270877,6,./.tests/optimization_example --int_param='-100' --float_param='849.51131493213040357659' --choice_param='hallo' --int_param_two='-100' --nr_results=1,0,,d19c2c66a00b,-100,-100,849.5113149321304035765933804214,hallo,4_0,COMPLETED,BOTORCH_MODULAR,-7352156.130483959801495075225830078125,-100,849.5113149321304035765933804214,-100,hallo
5,1760270882,2,b9d78f43-4933-4df6-885d-0f52fffbeb19,1760270884,1760270890,6,./.tests/optimization_example --int_param='-100' --float_param='1000' --choice_param='hallo' --int_param_two='-100' --nr_results=1,0,,d19c2c66a00b,-100,-100,1000,hallo,5_0,COMPLETED,BOTORCH_MODULAR,-10120412.5199999995529651641845703125,-100,1000,-100,hallo
========================================================================
Current git-hash: d4f3a833f4e1ac1029085f3f768c598c4c7d3971 (last fully tested stable version 4 commits ago [1a7c047b2d667e3d2b8f6691bd48b3ec93689de8, 8667])
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...
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โ Importing rich.prompt...
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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...
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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 12:07:44] 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...
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โ Importing MaxTrials...
โ Importing GeneratorSpec...
โ Importing Models from ax.generation_strategy.registry...
โ Importing get_pending_observation_features...
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Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: c3b9632f-e4df-4c48-af73-133ef99ffafc
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| OmniOpt2 - Tuning hyperparameters like a caffeina |
| ted monk with a Rubik's Cube. |
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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=322 for live-results.
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: -10120412.52, finishing jobs, finished 1 job : 100%|โโโโโโโโโโ| 6/6 [00:26<00:00, 4.37s/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 -100.0 โ 1000.0 โ hallo โ -100 โ 1000.0 โ -100 โ hallo โ -10120412.52 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
2025-10-12 12:07:47 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-12 12:07:49 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-12 12:07:49 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.60 s/job
2025-10-12 12:07:49 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, eval #1/1 start
2025-10-12 12:07:49 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, starting new job
2025-10-12 12:07:49 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, started new job
2025-10-12 12:07:58 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, new result: -7352156.13048396
2025-10-12 12:08:00 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, best RESULT: -7352156.13048396, finishing jobs, finished 1 job
2025-10-12 12:08:02 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, best RESULT: -7352156.13048396, getting new HP set (no sbatch)
2025-10-12 12:08:02 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, best RESULT: -7352156.13048396, requested 1 jobs, got 1, 1.56 s/job
2025-10-12 12:08:02 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, best RESULT: -7352156.13048396, eval #1/1 start
2025-10-12 12:08:02 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, best RESULT: -7352156.13048396, starting new job
2025-10-12 12:08:02 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, best RESULT: -7352156.13048396, started new job
2025-10-12 12:08:11 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, best RESULT: -7352156.13048396, new result: -10120412.52
2025-10-12 12:08:13 (b9d78f43-4933-4df6-885d-0f52fffbeb19): BOTORCH_MODULAR, best RESULT: -10120412.52, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1760270867,800.1953125,22.2