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,1.486488290700000103328193290508,2.000358659599999811007364769466,-6,-48.65253388881683349609375,-51,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.707797401900000178187610799796,2.388542433800000086563386503258,-92,-3.583905612671093088295037887292,-81,1
2,1761111136,2,7a6cc704-4fd9-4294-a72a-1d0ffb523f98,1761111138,1761111144,6,./.tests/optimization_example --int_param='10' --float_param='-99.50002601286486481058' --choice_param='8' --int_param_two='-15' --nr_results=2,0,,runnervmnfq8z,10,-15,-99.500026012864864810580911580473,8,2_0,COMPLETED,BOTORCH_MODULAR,1.339606269299999929955902189249,2.928242616699999967266876410577,10,-99.500026012864864810580911580473,-15,8
3,1761111150,2,7a6cc704-4fd9-4294-a72a-1d0ffb523f98,1761111152,1761111158,6,./.tests/optimization_example --int_param='10' --float_param='-54.69810558161893965234' --choice_param='8' --int_param_two='10' --nr_results=2,0,,runnervmnfq8z,10,10,-54.698105581618932546916767023504,8,3_0,COMPLETED,BOTORCH_MODULAR,1.149119781171070053815697065147,2.352591548205479998756572967977,10,-54.698105581618939652344124624506,10,8
========================================================================
Current git-hash: 6c64fbd932b26c7ccf94272c45bf171fa01f70f8 (last fully tested stable version 8 commits ago [14ee37b26eb555b65ac9a3558f641611a22bc601, 8702])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 10-22 05:32:12] 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: 2ae39061-a42b-489f-98ea-9294a998b16e
_____________________________________________
| OmniOpt2 - Unlocking the secrets of the grid. |
=============================================
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|\\___/| / \\// \\\\
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/ / \\/_/ // | \\ \\
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( / /) _|_ / ) // | \\ _\\
( // /) '/,_ _ _/ ( ; -. | _ _\\.-~ .-~~~^-.
(( / / )) ,-{ _ `-.|.-~-. .~ `.
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(( /// )) `. { } / \\ \\
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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=45 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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 0 │ -6 │ -48.65253388881683 │ -51 │ 8 │ 1.4864882907 │ 2.0003586596 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ 10 │ -54.69810558161894 │ 10 │ 8 │ 1.14911978117107 │ 2.35259154820548 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-10-22 05:32:14 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-22 05:32:16 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-22 05:32:16 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, requested 1 jobs, got 1, 2.11 s/job
2025-10-22 05:32:16 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, eval #1/1 start
2025-10-22 05:32:16 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, starting new job
2025-10-22 05:32:16 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, started new job
2025-10-22 05:32:25 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, new result: 1.3396062693364
2025-10-22 05:32:28 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-10-22 05:32:30 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-10-22 05:32:30 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.69 s/job
2025-10-22 05:32:30 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-10-22 05:32:30 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, 3 done, starting new job
2025-10-22 05:32:30 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, 3 done, started new job
2025-10-22 05:32:39 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, 3 done, new result: 1.14911978117107
2025-10-22 05:32:42 (7a6cc704-4fd9-4294-a72a-1d0ffb523f98): BOTORCH_MODULAR, 4 done, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1761111134,755.70703125,22.9
