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,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,1.546095542700000047275921133405,2.263001752400000121667744679144,-87,-28.40895235538482666015625,-14,hallo
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.477373881999999971625925354601,2.065534678400000156983651322662,6,-99.243216296535550213775422889739,-87,2
2,1766861800,2,8542b5dc-4ae4-4c95-83a4-5f24ca186509,1766861802,1766861808,6,./.tests/optimization_example --int_param='10' --float_param='-30.67508228304748740811' --choice_param='2' --int_param_two='-100' --nr_results=2,0,,runnervmh13bl,10,-100,-30.675082283047487408111919648945,2,2_0,COMPLETED,BOTORCH_MODULAR,1.769114424500000115614284368348,2.16186118719999997850322870363,10,-30.675082283047487408111919648945,-100,2
3,1766861813,2,8542b5dc-4ae4-4c95-83a4-5f24ca186509,1766861815,1766861821,6,./.tests/optimization_example --int_param='10' --float_param='-100' --choice_param='2' --int_param_two='-31' --nr_results=2,0,,runnervmh13bl,10,-31,-100,2,3_0,COMPLETED,BOTORCH_MODULAR,1.579335190429449919946591762709,2.415488896283449982149704737822,10,-100,-31,2
========================================================================
Current git-hash: 7cf80dda7731799175f31601fe61d2e588b04ac1 (last fully tested stable version 8 commits ago [018dbae7e8b1bad9f8889c8998a57f89e438ea0a, 9157])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-27 18:56:35] 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]`.
Using old run's --time: 60
Using old run's --gpus: 0
Using old run's --max_eval: 2
Run-UUID: 713d570e-6845-4edc-a0bc-b073234192ac
_____________________________________________
| OmniOpt2 - Unlocking the secrets of the grid. |
=============================================
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\
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. .
/ `. .' \
.---. < > < > .---.
| \ \ - ~ ~ - / / |
_____ ~-..-~ ~-..-~
| | \~~~\.' `./~~~/
--------- \__/ \__/
.' O \ / / \ "
(_____, `._.' | } \/~~~/
`----. / } | / \__/
`-. | / | / `. ,~~|
~-.__| /_ - ~ ^| /- _ `..-' f: f:
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|_____| |_____| ~ - . _ _ _ _ __>
omniopt --continue runs/multi_results_2_results_BOTORCH_MODULAR/0 --live_share
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1
Continuation from runs/multi_results_2_results_BOTORCH_MODULAR/0
You have less --max_eval 2 than --num_random_steps 20. Switched both.
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=375 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 4 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=2
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param │ rangeparameter │ -100 │ 10 │ │ int │ No │
│ float_param │ rangeparameter │ -100 │ 10 │ │ float │ No │
│ choice_param │ choiceparameter │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ rangeparameter │ -100 │ 10 │ │ int │ No │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1 │ min │
│ RESULT2 │ min │
└─────────────┴─────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT2.
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 6 │ -99.24321629653555 │ -87 │ 2 │ 1.477373882 │ 2.0655346784 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴─────────────┴──────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Not printing sixel graphics in CI
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time ┃ Max time ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ 6.00 sec │ 6.00 sec │ 6.00 sec │ 6.00 sec │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-12-27 18:56:39 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-27 18:56:40 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-12-27 18:56:40 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.92 s/job
2025-12-27 18:56:40 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, eval #1/1 start
2025-12-27 18:56:40 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, starting new job
2025-12-27 18:56:40 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, started new job
2025-12-27 18:56:49 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, new result: RESULT1: 1.769114, RESULT2: 2.161861
2025-12-27 18:56:52 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-12-27 18:56:53 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-12-27 18:56:53 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.24 s/job
2025-12-27 18:56:53 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-12-27 18:56:53 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, 3 done, starting new job
2025-12-27 18:56:53 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, 3 done, started new job
2025-12-27 18:57:02 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.579335, RESULT2: 2.415489
2025-12-27 18:57:05 (8542b5dc-4ae4-4c95-83a4-5f24ca186509): BOTORCH_MODULAR, 4 done, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1766861797,786.49609375,27.2