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Current git-hash: 4dbf7396f981f08fde2dc949ee922ec66a2c2b6f (last fully tested stable version 12 commits ago [7ec7c180ddeb70e69ef837c896ebe061f7046be1, 9375])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-16 08:16:03] 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]`.
Run-UUID: bca9b232-3c9f-4074-a967-c1f18241be4a
/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.")
_________________________________________________
/ \
| OmniOpt2 - Inception-level optimization: going de |
| eper with every layer. |
\ /
=================================================
\
\
\
.--.
|o_o |
|:_/ |
// \ \
(| | )
/'\_ _/`\
\___)=(___/
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=adding_old_jobs_to_new_jobs --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2ljZV9wYXJhbSknICAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --follow --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --load_data_from_existing_jobs runs/adding_old_jobs_to_new_jobs//0 runs/adding_old_jobs_to_new_jobs//1
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/2See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=adding_old_jobs_to_new_jobs&run_nr=272 for live-results.You have 4 CPUs available for the main process.No CUDA devices found.Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
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 │range │-100 │10 ││int │No │
│float_param │range │-100 │10 ││float│No │
│choice_param │choice│││1, 2, 4, 8, 16, hallo│││
│int_param_two│range │-100 │10 ││int │No │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃Result-Name┃Min or max?┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│RESULT │ min│
└─────────────┴─────────────┘
Inserted 2 jobs from runs/adding_old_jobs_to_new_jobs/0/results.csvInserted 2 jobs from runs/adding_old_jobs_to_new_jobs/1/results.csvFailed 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: 4)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃OO_Info_int_param┃OO_Info_int_param_two┃OO_Info_float_param┃OO_Info_choice_param┃int_param┃float_param ┃choice_param┃int_param_two┃RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│-100.0 │-100.0 │-82.05993624556966 │8.0 │-100 │-82.05993624556967│8 │-100 │-295775.244990827│
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴──────────────┴───────────────┴───────────────────┘
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 / 6 done / 2 submitted ││ ⏱️ Duration: 28s ││ 🏆 Best RESULT: -295775.244990827 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/2/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-16 08:16:06 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): SOBOL, best RESULT: -166861.749683073, ▁▃▂█, Started OmniOpt2 run...
2026-07-16 08:16:06 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -166861.749683073, ▁▃▂█, getting new HP set (no sbatch)
2026-07-16 08:16:06 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -166861.749683073, ▁▃▂█, requested 1 jobs, got 1, 0.64 s/job
2026-07-16 08:16:06 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -166861.749683073, ▁▃▂█, eval #1/1 start
2026-07-16 08:16:06 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -166861.749683073, ▁▃▂█, starting new job
2026-07-16 08:16:06 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -166861.749683073, ▁▃▂█, started new job
2026-07-16 08:16:14 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -166861.749683073, ▁▃▂█, new result: RESULT: -244194.510389
2026-07-16 08:16:16 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -244194.510388748, ▁▂▁▅█, finishing jobs, finished 1 job
2026-07-16 08:16:16 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -244194.510388748, ▁▂▁▅█, getting new HP set (no sbatch)
2026-07-16 08:16:16 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -244194.510388748, ▁▂▁▅█, requested 1 jobs, got 1, 0.50 s/job
2026-07-16 08:16:16 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -244194.510388748, ▁▂▁▅█, eval #1/1 start
2026-07-16 08:16:16 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -244194.510388748, ▁▂▁▅█, starting new job
2026-07-16 08:16:16 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -244194.510388748, ▁▂▁▅█, started new job
2026-07-16 08:16:24 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -244194.510388748, ▁▂▁▅█, new result: RESULT: -295775.244991
2026-07-16 08:16:26 (5085cd89-0d53-4a9f-852d-4c2e2dc658d0): BOTORCH_MODULAR, best RESULT: -295775.244990827, ▁▂▁▄▆█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.101 │ 1 │ 0.101 │
│ 2 │ 0.048 │ 1 │ 0.048 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.074 │ │ │
│ Median │ 0.074 │ │ │
│ Total │ 0.149 │ │ │
│ Max │ 0.101 │ │ │
│ Min │ 0.048 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.636 │ 1 │ 0.636 │
│ 2 │ 0.498 │ 1 │ 0.498 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.567 │ │ │
│ Median │ 0.567 │ │ │
│ Total │ 1.134 │ │ │
│ Max │ 0.636 │ │ │
│ Min │ 0.498 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.