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,1.715607193799999929950672594714,2.938452844399999985824933901313,-41,-28.01505029201507568359375,-46,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.123203826699999963167897476524,2.847633589800000031289073376684,-71,-90.682423350417224128250381909311,6,2
2,1763022130,2,da6c1655-c082-4b0e-9f9c-a3fb96a382f3,1763022132,1763022138,6,./.tests/optimization_example --int_param='-3' --float_param='-100' --choice_param='2' --int_param_two='10' --nr_results=2,0,,runnervmfg25i,-3,10,-100,2,2_0,COMPLETED,BOTORCH_MODULAR,1.979370440200000080821496339922,2.724293016899999919644415058428,-3,-100,10,2
3,1763022145,2,da6c1655-c082-4b0e-9f9c-a3fb96a382f3,1763022147,1763022153,6,./.tests/optimization_example --int_param='-41' --float_param='-100' --choice_param='2' --int_param_two='10' --nr_results=2,0,,runnervmfg25i,-41,10,-100,2,3_0,COMPLETED,BOTORCH_MODULAR,1.589382199178549948115346523991,2.677242879613430215357539054821,-41,-100,10,2
========================================================================
Current git-hash: 91fbcf2592bafca205c776a3bb503b30557d1f5d (last fully tested stable version 1 commit ago [5138dac9699446835928527562b5e2b197c923f4, 9082])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-13 08:22:04] 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: 75e8f5d7-19ca-4bbd-b23a-333a3e3d901f
_________________________________________________
/ \
| OmniOpt2 - Fine-tuning on a quantum level – Schrö |
| dinger’s hyperparameter. |
\ /
=================================================
\
\
\
\
__---__
_- /--______
__--( / \ )XXXXXXXXXXX\v.
.-XXX( O O )XXXXXXXXXXXXXXX-
/XXX( U ) XXXXXXX\
/XXXXX( )--_ XXXXXXXXXXX\
/XXXXX/ ( O ) XXXXXX \XXXXX\
XXXXX/ / XXXXXX \__ \XXXXX
XXXXXX__/ XXXXXX \__---->
---___ XXX__/ XXXXXX \__ /
\- --__/ ___/\ XXXXXX / ___--/=
\-\ ___/ XXXXXX '--- XXXXXX
\-\/XXX\ XXXXXX /XXXXX
\XXXXXXXXX \ /XXXXX/
\XXXXXX > _/XXXXX/
\XXXXX--__/ __-- XXXX/
-XXXXXXXX--------------- XXXXXX-
\XXXXXXXXXXXXXXXXXXXXXXXXXX/
""VXXXXXXXXXXXXXXXXXXV""
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=205 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 │ -71 │ -90.68242335041722 │ 6 │ 2 │ 1.1232038267 │ 2.8476335898 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -41 │ -100 │ 10 │ 2 │ 1.58938219917855 │ 2.67724287961343 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-11-13 08:22:08 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-11-13 08:22:10 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-11-13 08:22:10 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.67 s/job
2025-11-13 08:22:10 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, eval #1/1 start
2025-11-13 08:22:10 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, starting new job
2025-11-13 08:22:10 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, started new job
2025-11-13 08:22:19 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, new result: RESULT1: 1.979370, RESULT2: 2.724293
2025-11-13 08:22:23 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-11-13 08:22:25 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-11-13 08:22:25 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.83 s/job
2025-11-13 08:22:25 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-11-13 08:22:25 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, 3 done, starting new job
2025-11-13 08:22:25 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, 3 done, started new job
2025-11-13 08:22:34 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.589382, RESULT2: 2.677243
2025-11-13 08:22:38 (da6c1655-c082-4b0e-9f9c-a3fb96a382f3): 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
1763022124,752.625,28.7
