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,1.951208493500000029641228138644,2.968477879699999988361014402471,-5,-48.052957355976104736328125,-40,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.169864894899999896438202995341,2.671737387199999869125122131663,-99,-82.945613133131672611852991394699,-19,hallo
2,1767010052,2,16912fcf-fd4a-4c99-8731-4e627ee660b5,1767010054,1767010060,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='hallo' --int_param_two='-87' --nr_results=2,0,,runnervmh13bl,-100,-87,-100,hallo,2_0,COMPLETED,BOTORCH_MODULAR,1.697286410600000072790294325387,2.99410275239999990049000189174,-100,-100,-87,hallo
3,1767010065,2,16912fcf-fd4a-4c99-8731-4e627ee660b5,1767010067,1767010073,6,./.tests/optimization_example --int_param='-100' --float_param='-75.90929776144901097723' --choice_param='hallo' --int_param_two='1' --nr_results=2,0,,runnervmh13bl,-100,1,-75.909297761449010977230500429869,hallo,3_0,COMPLETED,BOTORCH_MODULAR,1.82970762749119009171749894449,2.392441914972979866149671579478,-100,-75.909297761449010977230500429869,1,hallo
========================================================================
Current git-hash: 285f9e6c99c01e40978b706db754c1269bacb3e4 (last fully tested stable version 1 commit ago [815910076e3b15c9f886789a2fc0797945e4f03f, 9210])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-29 12:07:26] 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: b206fc84-225a-4b85-935f-38eaa90e303f
_________________________________________________
/ \
| OmniOpt2 - Grid search? Please, I’m doing ballet |
| through parameter space. |
\ /
=================================================
\
\
\
\
/- _ `-/ '
(/\/ \ \ /\
/ / | ` \
O O ) / |
`-^--'`< '
(_.) _ ) /
`.___/` /
`-----' /
<----. __ / __ \
<----|====O)))==) \) /====
<----' `--' `.__,' \
| |
\ /
______( (_ / \______
,' ,-----' | \
`--{__________) \/
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=507 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 │ -99 │ -82.94561313313167 │ -19 │ hallo │ 1.1698648949 │ 2.6717373872 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -100 │ -75.90929776144901 │ 1 │ hallo │ 1.82970762749119 │ 2.39244191497298 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-12-29 12:07:30 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-29 12:07:32 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-12-29 12:07:32 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.05 s/job
2025-12-29 12:07:32 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, eval #1/1 start
2025-12-29 12:07:32 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, starting new job
2025-12-29 12:07:32 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, started new job
2025-12-29 12:07:41 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, new result: RESULT1: 1.697286, RESULT2: 2.994103
2025-12-29 12:07:44 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-12-29 12:07:45 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-12-29 12:07:45 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.14 s/job
2025-12-29 12:07:45 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-12-29 12:07:45 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, 3 done, starting new job
2025-12-29 12:07:45 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, 3 done, started new job
2025-12-29 12:07:54 (16912fcf-fd4a-4c99-8731-4e627ee660b5): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.829708, RESULT2: 2.392442
2025-12-29 12:07:58 (16912fcf-fd4a-4c99-8731-4e627ee660b5): 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
1767010048,786.39453125,27.3
