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,1.456401871099999967285043567244,2.963757284799999780489088152535,-48,-26.93515360355377197265625,10,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.478022951700000087171815721376,2.39787792539999999874567038205,-94,-69.403889463866576647887995932251,-97,16
2,1766935203,2,e9060000-87b1-449a-b9a1-61e1cc0a6915,1766935205,1766935211,6,./.tests/optimization_example --int_param='-7' --float_param='-29.05600864941973782152' --choice_param='8' --int_param_two='-76' --nr_results=2,0,,runnervmh13bl,-7,-76,-29.056008649419734268803949817084,8,2_0,COMPLETED,BOTORCH_MODULAR,1.756135144799999991960248735268,2.658354313000000246347553911619,-7,-29.056008649419737821517628617585,-76,8
3,1766935217,1,e9060000-87b1-449a-b9a1-61e1cc0a6915,1766935218,1766935224,6,./.tests/optimization_example --int_param='-100' --float_param='-63.96636251166490438891' --choice_param='16' --int_param_two='-65' --nr_results=2,0,,runnervmh13bl,-100,-65,-63.96636251166489728348096832633,16,3_0,COMPLETED,BOTORCH_MODULAR,1.737145401378259901292722133803,2.611233981416690053123375037103,-100,-63.966362511664904388908325927332,-65,16
========================================================================
Current git-hash: aff3754879666970bb5ac65f0492348de2ba3f04 (last fully tested stable version 7 commits ago [615815d7faceb30fd81f992ecff2c39b1a8872ef, 9176])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-28 15:19:57] 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: c8be4a50-11c7-4e80-ba2a-fbd189d3ffa4
______ .___ ___. .__ __. __ ______ .______ .___________.___
/ __ \ | \/ | | \ | | | | / __ \ | _ \ | |__ \
| | | | | \ / | | \| | | | | | | | | |_) | `---| |----` ) |
| | | | | |\/| | | . ` | | | | | | | | ___/ | | / /
| `--' | | | | | | |\ | | | | `--' | | | | | / /_
\______/ |__| |__| |__| \__| |__| \______/ | _| |__| |____|
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=415 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 │ -48 │ -26.935153603553772 │ 10 │ 1 │ 1.4564018711 │ 2.9637572848 │
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 1 │ -94 │ -69.40388946386658 │ -97 │ 16 │ 1.4780229517 │ 2.3978779254 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-12-28 15:20:02 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-28 15:20:03 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-12-28 15:20:03 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.90 s/job
2025-12-28 15:20:03 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, eval #1/1 start
2025-12-28 15:20:03 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, starting new job
2025-12-28 15:20:03 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, started new job
2025-12-28 15:20:12 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, new result: RESULT1: 1.756135, RESULT2: 2.658354
2025-12-28 15:20:15 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-12-28 15:20:17 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-12-28 15:20:17 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.58 s/job
2025-12-28 15:20:17 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-12-28 15:20:17 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, 3 done, starting new job
2025-12-28 15:20:17 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, 3 done, started new job
2025-12-28 15:20:26 (e9060000-87b1-449a-b9a1-61e1cc0a6915): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.737145, RESULT2: 2.611234
2025-12-28 15:20:30 (e9060000-87b1-449a-b9a1-61e1cc0a6915): 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
1766935199,784.78125,26.9