========================================================================
Current git-hash: f16d22535360fbc48329ca2ebf9ae2448bc26fcb (last fully tested stable version 2 commits ago [6c64fbd932b26c7ccf94272c45bf171fa01f70f8, 8710])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 10-22 06:02:37] 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: 60Using old run's --gpus: 0
Run-UUID: 516e7fb6-e2b2-4931-a3b4-e84cf29f0f1f
_________________________________________________
/ \
| OmniOpt2 - As timeless as Metropolis, but with be |
| tter optimization. |
\ /
=================================================
\
\
^__^
(oo)\_______
(__)\ )\/\
||----w |
|| ||
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=164 for live-results.You have 4 CPUs available for the main process.No CUDA devices found.Generation strategy: BOTORCH_MODULAR for 5 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=1
Experiment parameters
โโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโณโโโโโโโโโโโโโ
โName โType โLower boundโUpper boundโValues โType โLog Scale?โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โint_param โrangeparameter โ-100 โ10 โโint โNo โ
โfloat_param โrangeparameter โ-100 โ10 โโfloatโNo โ
โchoice_param โchoiceparameterโโโ1, 2, 4, 8, 16, halloโโโ
โint_param_twoโrangeparameter โ-100 โ10 โโint โNo โ
โโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโโโโโโโ
Result-Names
โโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โResult-NameโMin or max?โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โRESULT โ minโ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
Failed Jobs parameters
โโโโโโโโโโณโโโโโโโโโณโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โparam1โparam2โparam3โerror_description โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โvalue1โvalue2โvalue3โSome error occurred during execution (this is not a real error!).โ
โโโโโโโโโโดโโโโโโโโโดโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Best RESULT, min (total: 2 + inserted jobs: 2)
โโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโ
โOO_Info_int_paramโOO_Info_int_param_twoโOO_Info_float_paramโOO_Info_choice_paramโint_paramโfloat_param โint_param_twoโchoice_paramโRESULT โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ-100.0 โ-100.0 โ-98.42886001064889 โ2.0 โ-100 โ-98.4288600106489โ-100 โ2 โ-326891.410831024โ
โโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโ
Not printing sixel graphics in CI
Runtime Infos
โโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โNumber of evaluationsโMin time โMax time โAverage timeโMedian timeโ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 2 โ 6.00 sec โ 6.00 sec โ 6.00 sec โ 6.00 sec โ
โโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
2025-10-22 06:02:39 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-22 06:02:40 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-22 06:02:40 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.00 s/job
2025-10-22 06:02:40 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, eval #1/1 start
2025-10-22 06:02:40 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, starting new job
2025-10-22 06:02:40 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, started new job
2025-10-22 06:02:49 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, new result: -251298.488226415
2025-10-22 06:02:50 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, best RESULT: -251298.488226415, finishing jobs, finished 1 job
2025-10-22 06:02:51 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, best RESULT: -251298.488226415, getting new HP set (no sbatch)
2025-10-22 06:02:51 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, best RESULT: -251298.488226415, requested 1 jobs, got 1, 0.87 s/job
2025-10-22 06:02:51 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, best RESULT: -251298.488226415, eval #1/1 start
2025-10-22 06:02:51 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, best RESULT: -251298.488226415, starting new job
2025-10-22 06:02:51 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, best RESULT: -251298.488226415, started new job
2025-10-22 06:03:01 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, best RESULT: -251298.488226415, new result: -326891.410831024
2025-10-22 06:03:02 (88b6daff-251a-4c2a-bd9a-ad007723ebc4): BOTORCH_MODULAR, best RESULT: -326891.410831024, finishing jobs, finished 1 job
Job submission durations
โโโโโโโโโโโณโโโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโโ
โ Batch โ Seconds โ Jobs โ Time per job โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 1 โ 0.095 โ 1 โ 0.095 โ
โ 2 โ 0.063 โ 1 โ 0.063 โ
โโโโโโโโโโโผโโโโโโโโโโผโโโโโโโผโโโโโโโโโโโโโโโค
โ Average โ 0.079 โ โ โ
โ Median โ 0.079 โ โ โ
โ Total โ 0.158 โ โ โ
โ Max โ 0.095 โ โ โ
โ Min โ 0.063 โ โ โ
โโโโโโโโโโโดโโโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโโ
Model generation times
โโโโโโโโโโโโโณโโโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโโ
โ Iteration โ Seconds โ Jobs โ Time per job โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 1 โ 1.001 โ 1 โ 1.001 โ
โ 2 โ 0.874 โ 1 โ 0.874 โ
โโโโโโโโโโโโโผโโโโโโโโโโผโโโโโโโผโโโโโโโโโโโโโโโค
โ Average โ 0.937 โ โ โ
โ Median โ 0.937 โ โ โ
โ Total โ 1.875 โ โ โ
โ Max โ 1.001 โ โ โ
โ Min โ 0.874 โ โ โ
โโโโโโโโโโโโโดโโโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโโ