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,1.177023879800000116802038974129,2.962477288100000105686149254325,-68,-69.088440835475921630859375,-71,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.912880412400000063044558373804,2.786900788900000147663149618893,-40,-6.770416348530857497678425716003,9,16
2,1761032126,2,2113143d-4ae1-4643-8fe2-5be33194c8dc,1761032128,1761032134,6,./.tests/optimization_example --int_param='-3' --float_param='-13.19606636646957120718' --choice_param='4' --int_param_two='-82' --nr_results=2,0,,runnervmwhb2z,-3,-82,-13.19606636646957120717615907779,4,2_0,COMPLETED,BOTORCH_MODULAR,1.294882876900000034936510928674,2.100640247899999923930636214209,-3,-13.19606636646957120717615907779,-82,4
3,1761032140,2,2113143d-4ae1-4643-8fe2-5be33194c8dc,1761032142,1761032148,6,./.tests/optimization_example --int_param='-28' --float_param='-45.1508333482708579254' --choice_param='4' --int_param_two='-89' --nr_results=2,0,,runnervmwhb2z,-28,-89,-45.150833348270857925399468513206,4,3_0,COMPLETED,BOTORCH_MODULAR,1.325358189483269999442427433678,2.429766507909759898353740936727,-28,-45.150833348270857925399468513206,-89,4
========================================================================
Current git-hash: 2bfcf4ebab7e0b53d16282a8de94a4c409ec3fbf (last fully tested stable version 2 commits ago [9043d91dbe370183252bdf120ecb2c226402839d, 8689])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 10-21 07:35:24] 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: 9ac1ba6a-46be-4205-bc50-416fd98be0b4
____ _ ____ _ ___
/ __ \ (_)/ __ \ | | |__ \
| | | |_ __ ___ _ __ _| | | |_ __ | |_ ) |
| | | | '_ ` _ \| '_ \| | | | | '_ \| __| / /
| |__| | | | | | | | | | | |__| | |_) | |_ / /_
\____/|_| |_| |_|_| |_|_|\____/| .__/ \__|____|
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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=7 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
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 RESULT1 โ min โ
โ RESULT2 โ min โ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
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:
โโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโ
โ trial_index โ int_param โ float_param โ int_param_two โ choice_param โ RESULT1 โ RESULT2 โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 0 โ -68 โ -69.08844083547592 โ -71 โ 8 โ 1.1770238798000001 โ 2.9624772881 โ
โโโโโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโค
โ 2 โ -3 โ -13.196066366469571 โ -82 โ 4 โ 1.2948828769 โ 2.1006402479 โ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโ
Failed Jobs parameters
โโโโโโโโโโณโโโโโโโโโณโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ param1 โ param2 โ param3 โ error_description โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ value1 โ value2 โ value3 โ Some error occurred during execution (this is not a real error!). โ
โโโโโโโโโโดโโโโโโโโโดโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Not printing sixel graphics in CI
Not printing sixel graphics in CI
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
2025-10-21 07:35:25 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-21 07:35:26 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-21 07:35:26 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.85 s/job
2025-10-21 07:35:26 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, eval #1/1 start
2025-10-21 07:35:26 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, starting new job
2025-10-21 07:35:27 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, started new job
2025-10-21 07:35:36 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, new result: 1.29488287687218
2025-10-21 07:35:38 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-10-21 07:35:40 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-10-21 07:35:40 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.41 s/job
2025-10-21 07:35:40 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-10-21 07:35:40 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, 3 done, starting new job
2025-10-21 07:35:40 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, 3 done, started new job
2025-10-21 07:35:49 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, 3 done, new result: 1.32535818948327
2025-10-21 07:35:51 (2113143d-4ae1-4643-8fe2-5be33194c8dc): BOTORCH_MODULAR, 4 done, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1761032125,781.65625,25.5