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Current git-hash: 611f002d8dffbbf7205b3e78c037f864a1724a32 (last fully tested stable version 24 commits ago [4d604d1144428d61572f1a083b390631a8aef853, 9346])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-16 05:55:49] 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: 60Using old run's --gpus: 0
Run-UUID: d7f83a7c-57cb-4fad-8cc1-7f3db8f11363
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
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| OmniOpt2 - Finding the needle in the hyper haysta |
| ck! |
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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=168 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
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃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?┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│RESULT │ min│
└─────────────┴─────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃param1┃param2┃param3┃error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│value1│value2│value3│Some error occurred during execution (this is not a real error!).│
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Best RESULT, min (total: 2 + inserted jobs: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃OO_Info_int_param┃OO_Info_int_param_two┃OO_Info_float_param┃OO_Info_choice_param┃int_param┃float_param┃int_param_two┃choice_param┃RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│-100.0 │-100.0 │-100.0 │16.0 │-100 │-100.0 │-100 │16 │-331437.32│
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭────────────────────────────────────────────────────────────────────────────────────────OmniOpt2 Run Summary────────────────────────────────────────────────────────────────────────────────────────╮│││ ✅ Optimization complete!││││ 📊 Trials: 2 succeeded / 0 failed / 4 done / 4 submitted ││ ⏱️ Duration: 29s ││ 🏆 Best RESULT: -331437.32 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-16 05:55:53 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-16 05:55:53 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-16 05:55:53 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.57 s/job
2026-07-16 05:55:53 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, eval #1/1 start
2026-07-16 05:55:53 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, starting new job
2026-07-16 05:55:53 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, started new job
2026-07-16 05:56:01 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, new result: RESULT: -331437.320000
2026-07-16 05:56:03 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, best RESULT: -331437.32, ▄▁█, finishing jobs, finished 1 job
2026-07-16 05:56:03 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, best RESULT: -331437.32, ▄▁█, getting new HP set (no sbatch)
2026-07-16 05:56:03 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, best RESULT: -331437.32, ▄▁█, requested 1 jobs, got 1, 0.53 s/job
2026-07-16 05:56:03 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, best RESULT: -331437.32, ▄▁█, eval #1/1 start
2026-07-16 05:56:03 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, best RESULT: -331437.32, ▄▁█, starting new job
2026-07-16 05:56:04 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, best RESULT: -331437.32, ▄▁█, started new job
2026-07-16 05:56:12 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, best RESULT: -331437.32, ▄▁█, new result: RESULT: -246480.137967
2026-07-16 05:56:13 (dee5feea-5029-4fcf-b199-de3e29c3630a): BOTORCH_MODULAR, best RESULT: -331437.32, ▄▁█▅, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.100 │ 1 │ 0.100 │
│ 2 │ 0.064 │ 1 │ 0.064 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.082 │ │ │
│ Median │ 0.082 │ │ │
│ Total │ 0.163 │ │ │
│ Max │ 0.100 │ │ │
│ Min │ 0.064 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.573 │ 1 │ 0.573 │
│ 2 │ 0.535 │ 1 │ 0.535 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.554 │ │ │
│ Median │ 0.554 │ │ │
│ Total │ 1.108 │ │ │
│ Max │ 0.573 │ │ │
│ Min │ 0.535 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.