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,1.852940839299999975509081195923,2.422680832300000197676581592532,5,-40.0819480419158935546875,-47,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.460907925499999926444161246764,2.048984303900000192300012713531,-95,-73.934376860865768321673385798931,6,1
2,1767524813,2,003f11d5-55d1-4ba7-b19b-90c6a9269a6a,1767524815,1767524821,6,./.tests/optimization_example --int_param='-100' --float_param='-1.23217362144243702815' --choice_param='1' --int_param_two='10' --nr_results=2,0,,runnervmdwttx,-100,10,-1.232173621442437028150607147836,1,2_0,COMPLETED,BOTORCH_MODULAR,1.313705988800000001859302756202,2.963901717100000166027484738152,-100,-1.232173621442437028150607147836,10,1
3,1767524827,2,003f11d5-55d1-4ba7-b19b-90c6a9269a6a,1767524829,1767524835,6,./.tests/optimization_example --int_param='-100' --float_param='-58.06330538981556799172' --choice_param='1' --int_param_two='-46' --nr_results=2,0,,runnervmdwttx,-100,-46,-58.063305389815567991718125995249,1,3_0,COMPLETED,BOTORCH_MODULAR,1.949006493509849891054841464211,2.459831520539839999628384248354,-100,-58.063305389815567991718125995249,-46,1
========================================================================
Current git-hash: edb9863eb2fefc8821e899eb9ec0c308568a7128 (last fully tested stable version 2 commits ago [941829b5ef8c208e9de98b3eb85bb46f0d23e169, 9213])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 01-04 11:06:49] 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: 9e4dc1a9-39f2-40ea-94b6-5edcfbf8175c
______ .___ ___. .__ __. __ ______ .______ .___________.___
/ __ \ | \/ | | \ | | | | / __ \ | _ \ | |__ \
| | | | | \ / | | \| | | | | | | | | |_) | `---| |----` ) |
| | | | | |\/| | | . ` | | | | | | | | ___/ | | / /
| `--' | | | | | | |\ | | | | `--' | | | | | / /_
\______/ |__| |__| |__| \__| |__| \______/ | _| |__| |____|
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=519 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 │ -95 │ -73.93437686086577 │ 6 │ 1 │ 1.4609079255 │ 2.0489843039 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 2 │ -100 │ -1.232173621442437 │ 10 │ 1 │ 1.3137059888 │ 2.9639017171 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-01-04 11:06:52 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-01-04 11:06:53 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-01-04 11:06:53 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.87 s/job
2026-01-04 11:06:53 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, eval #1/1 start
2026-01-04 11:06:53 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, starting new job
2026-01-04 11:06:53 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, started new job
2026-01-04 11:07:02 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, new result: RESULT1: 1.313706, RESULT2: 2.963902
2026-01-04 11:07:06 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2026-01-04 11:07:07 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2026-01-04 11:07:07 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.03 s/job
2026-01-04 11:07:07 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, 3 done, eval #1/1 start
2026-01-04 11:07:07 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, 3 done, starting new job
2026-01-04 11:07:07 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, 3 done, started new job
2026-01-04 11:07:16 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.949006, RESULT2: 2.459832
2026-01-04 11:07:19 (003f11d5-55d1-4ba7-b19b-90c6a9269a6a): 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
1767524810,759.765625,28.6
