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,1.395588260000000024874111659301,2.21088751229999980196794240328,-12,-31.13696575164794921875,-38,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.334251336799999965165852700011,2.222642493800000007553308023489,-99,-81.468293618122956445404270198196,-72,4
2,1761031859,2,8780c770-8f20-4563-a482-83438fad9cfd,1761031861,1761031867,6,./.tests/optimization_example --int_param='-30' --float_param='-0.21837367253442105386' --choice_param='1' --int_param_two='-52' --nr_results=2,0,,runnervmnfq8z,-30,-52,-0.21837367253442099834792600177,1,2_0,COMPLETED,BOTORCH_MODULAR,1.978876491399999881792837186367,2.851272822899999948020877127419,-30,-0.218373672534421053859077233028,-52,1
3,1761031872,2,8780c770-8f20-4563-a482-83438fad9cfd,1761031874,1761031880,6,./.tests/optimization_example --int_param='-61' --float_param='-68.24329005590332997144' --choice_param='2' --int_param_two='-56' --nr_results=2,0,,runnervmnfq8z,-61,-56,-68.243290055903329971442872192711,2,3_0,COMPLETED,BOTORCH_MODULAR,1.170739112728369946125894784927,2.319769492928999810033019457478,-61,-68.243290055903329971442872192711,-56,2
========================================================================
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 07:30:57] 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: 1aa0518c-1217-4dba-bfaf-28ab5484366f
____________________________________________
| OmniOpt2 - Hyperparameter alchemy in action! |
============================================
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_-~~ ~~-_
_-~ /~-_
/^\__/^\ /~ \ / \
/| O|| O| / \_______________/ \
| |___||__| / / \ \
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| (_______) /______/ \_________ \
| / / \ / \
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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=5 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:
โโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโ
โ trial_index โ int_param โ float_param โ int_param_two โ choice_param โ RESULT1 โ RESULT2 โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 0 โ -12 โ -31.13696575164795 โ -38 โ 2 โ 1.39558826 โ 2.2108875123 โ
โโโโโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโค
โ 1 โ -99 โ -81.46829361812296 โ -72 โ 4 โ 1.3342513368 โ 2.2226424938 โ
โโโโโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโค
โ 3 โ -61 โ -68.24329005590333 โ -56 โ 2 โ 1.17073911272837 โ 2.319769492929 โ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโ
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 07:30:58 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-21 07:30:59 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-21 07:30:59 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.75 s/job
2025-10-21 07:30:59 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, eval #1/1 start
2025-10-21 07:30:59 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, starting new job
2025-10-21 07:30:59 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, started new job
2025-10-21 07:31:08 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, new result: 1.97887649138375
2025-10-21 07:31:11 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-10-21 07:31:12 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-10-21 07:31:12 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.31 s/job
2025-10-21 07:31:12 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-10-21 07:31:12 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, 3 done, starting new job
2025-10-21 07:31:12 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, 3 done, started new job
2025-10-21 07:31:21 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, 3 done, new result: 1.17073911272837
2025-10-21 07:31:24 (8780c770-8f20-4563-a482-83438fad9cfd): BOTORCH_MODULAR, 4 done, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1761031858,757.09765625,25.2