========================================================================
Current git-hash: d0176ca558ccf63a3120d98332e97ed4a52001ff (last fully tested stable version 16 commits ago [5268678be516a64d8bfe1ff0d3bbd05a6f0bcdd2, 9305])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋Importing logging...⠋Importing warnings...⠋Importing argparse...⠋Importing datetime...⠋Importing dataclass...⠋Importing socket...⠋Importing stat...⠋Importing pwd...⠋Importing base64...⠋Importing json...⠋Importing yaml...⠋Importing toml...⠋Importing csv...⠋Importing ast...⠋Importing rich.table...⠋Importing rich print...⠋Importing rich.pretty...⠋Importing pformat...⠋Importing rich.prompt...⠋Importing types.FunctionType...⠋Importing typing...⠋Importing ThreadPoolExecutor...⠋Importing submitit.LocalExecutor...⠋Importing submitit.Job...⠋Importing importlib.util...⠋Importing platform...⠋Importing inspect frame info...⠋Importing pathlib.Path...⠋Importing uuid...⠋Importing cowsay...⠋Importing shutil...⠋Importing itertools.combinations...⠋Importing os.listdir...⠋Importing os.path...⠋Importing PIL.Image...⠋Importing sixel...⠋Importing subprocess...⠋Importing tqdm...⠋Importing beartype...
[WARNING 05-10 00:18:19] ax.storage.sqa_store.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]`.
⠙Importing rendering stuff...⠋Importing statistics...⠋Importing notifier...⠋Trying to import pyfiglet...⠋Importing helpers...⠋Importing pareto...⠋Parsing arguments...⠋Importing torch...⠋Importing numpy...⠋Importing ax...⠋Importing ax.core.generator_run...⠋Importing Cont_X_trans and Y_trans from ax.adapter.registry...⠋Importing ax.core.arm...⠋Importing ax.core.objective...⠋Importing ax.core.Metric...⠋Importing ax.exceptions.core...⠋Importing ax.exceptions.generation_strategy...⠋Importing CORE_DECODER_REGISTRY...⠋Trying ax.generation_strategy.generation_node...⠋Importing GenerationStep, GenerationStrategy from generation_strategy...⠋Importing GenerationNode from generation_node...⠋Importing ExternalGenerationNode...⠋Importing MinTrials...⠋Importing GeneratorSpec...⠋Importing Generators from ax.generation_strategy.registry...⠋Importing load_experiment...⠋Importing save_experiment...⠋Importing save_experiment_to_db...⠋Importing TrialStatus...⠋Importing Data...⠋Importing Experiment...⠋Importing parameter types...⠋Importing TParameterization...⠋Importing pandas...⠋Importing AxClient and ObjectiveProperties...⠋Importing RandomForestRegressor...⠋Importing botorch...⠋Importing submitit...⠋Importing ax logger...⠋Importing SQL-Storage-Stuff...Using old run's --time: 60Using old run's --gpus: 0
Run-UUID: 66d1b8f2-07b5-49bf-8db2-51feba94c9c5
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/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)
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
.oOOOo. .oOOOo.
.O o. o .O o. .oOOo.
O o O o O O
o O o O oOo o
O o `oOOoOO. 'OoOo. O O o .oOo. o O'
o O O o o o O o o O O o O O
`o O' o O O O o O `o O' o O o .O
`OoooO' O o o o O o' `OoooO' oOoO' `oO oOoOoO
O
o'
⠋Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
⠋Disabling logging...⠋Setting run folder...⠋Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2...⠋Writing revert_to_random_when_seemingly_exhausted file ...⠋Writing username state file...⠋Writing result names file...⠋Writing result min/max file...⠋Saving state files...Run-folder: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
⠋Writing live_share file if it is present...⠋Writing job_start_time file...⠋Writing git information⠋Checking max_eval...⠋Calculating number of steps...⠋Adding excluded nodes...⠋Initializing ax_client...Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32⠋Setting orchestrator...See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=83 for live-results.You have 4 CPUs available for the main process.No CUDA devices found.Generation strategy: BOTORCH_MODULAR for 9 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 │-1000 │1000 ││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│
└─────────────┴─────────────┘
⠋Write files and show overview
BOTORCH_MODULAR, best RESULT: -7983212.03713431, ▁▁▁▁▄█, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:22<00:00, 3.71s/it]
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 ┃int_param_two┃choice_param┃RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│-12.0 │-100.0 │-882.1632046661036 │hallo │-12 │-882.1632046661036│-100 │hallo │-7983212.03713431│
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 / 6 submitted ││ ⏱️ Duration: 32s ││ 🏆 Best RESULT: -7983212.03713431 ││ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv││ 🧠 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-10 00:18:22 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-10 00:18:23 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-10 00:18:23 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.78 s/job
2026-05-10 00:18:23 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, eval #1/1 start
2026-05-10 00:18:23 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, starting new job
2026-05-10 00:18:23 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, started new job
2026-05-10 00:18:31 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, new result: RESULT: -4486462.768132
2026-05-10 00:18:33 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, best RESULT: -4486462.76813235, ▁▁▁▁█, finishing jobs, finished 1 job
2026-05-10 00:18:34 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, best RESULT: -4486462.76813235, ▁▁▁▁█, getting new HP set (no sbatch)
2026-05-10 00:18:34 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, best RESULT: -4486462.76813235, ▁▁▁▁█, requested 1 jobs, got 1, 0.75 s/job
2026-05-10 00:18:34 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, best RESULT: -4486462.76813235, ▁▁▁▁█, eval #1/1 start
2026-05-10 00:18:34 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, best RESULT: -4486462.76813235, ▁▁▁▁█, starting new job
2026-05-10 00:18:34 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, best RESULT: -4486462.76813235, ▁▁▁▁█, started new job
2026-05-10 00:18:42 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, best RESULT: -4486462.76813235, ▁▁▁▁█, new result: RESULT: -7983212.037134
2026-05-10 00:18:44 (fc4070d4-d77e-495c-8727-1b28e29525a7): BOTORCH_MODULAR, best RESULT: -7983212.03713431, ▁▁▁▁▄█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.192 │ 1 │ 0.192 │
│ 2 │ 0.082 │ 1 │ 0.082 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.137 │ │ │
│ Median │ 0.137 │ │ │
│ Total │ 0.274 │ │ │
│ Max │ 0.192 │ │ │
│ Min │ 0.082 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.777 │ 1 │ 0.777 │
│ 2 │ 0.747 │ 1 │ 0.747 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.762 │ │ │
│ Median │ 0.762 │ │ │
│ Total │ 1.524 │ │ │
│ Max │ 0.777 │ │ │
│ Min │ 0.747 │ │ │
└───────────┴─────────┴──────┴──────────────┘
