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Current git-hash: 1da9c7062535004bc4beeb1eb73fba7ae8c5e7ca (last fully tested stable version 2 commits ago [40e86984857e047bcfb600b452b0692331ba16d4, 9396])
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...⠋Importing statistics...⠋Importing notifier...⠋Trying to import pyfiglet...⠙Importing helpers...⠋Importing pareto...⠋Parsing arguments...⠸Importing torch...⠋Importing numpy...
[INFO 07-20 06:58:29] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
⠇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 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: 6450b478-f546-4f4d-8d46-110392b152cb
//.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.")
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⠋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=155 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: -10211354.12, ▁▁▁▁▆█, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:24<00:00, 4.04s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│-100.0 │10.0 │-1000.0 │2 │-100 │-1000.0 │10 │2 │-10211354.12│
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────┘
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: 35s ││ 🏆 Best RESULT: -10211354.12 ││ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-20 06:58:32 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-20 06:58:33 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-20 06:58:33 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.67 s/job
2026-07-20 06:58:33 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, eval #1/1 start
2026-07-20 06:58:33 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, starting new job
2026-07-20 06:58:33 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, started new job
2026-07-20 06:58:42 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, new result: RESULT: -8548882.588214
2026-07-20 06:58:44 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, best RESULT: -8548882.58821412, ▁▁▁▁█, finishing jobs, finished 1 job
2026-07-20 06:58:45 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, best RESULT: -8548882.58821412, ▁▁▁▁█, getting new HP set (no sbatch)
2026-07-20 06:58:45 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, best RESULT: -8548882.58821412, ▁▁▁▁█, requested 1 jobs, got 1, 0.91 s/job
2026-07-20 06:58:45 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, best RESULT: -8548882.58821412, ▁▁▁▁█, eval #1/1 start
2026-07-20 06:58:45 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, best RESULT: -8548882.58821412, ▁▁▁▁█, starting new job
2026-07-20 06:58:45 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, best RESULT: -8548882.58821412, ▁▁▁▁█, started new job
2026-07-20 06:58:54 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, best RESULT: -8548882.58821412, ▁▁▁▁█, new result: RESULT: -10211354.120000
2026-07-20 06:58:57 (96a1fb14-b5fd-4685-8522-efbbefccb8fc): BOTORCH_MODULAR, best RESULT: -10211354.12, ▁▁▁▁▆█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.192 │ 1 │ 0.192 │
│ 2 │ 0.086 │ 1 │ 0.086 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.139 │ │ │
│ Median │ 0.139 │ │ │
│ Total │ 0.277 │ │ │
│ Max │ 0.192 │ │ │
│ Min │ 0.086 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.675 │ 1 │ 0.675 │
│ 2 │ 0.910 │ 1 │ 0.910 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.793 │ │ │
│ Median │ 0.793 │ │ │
│ Total │ 1.585 │ │ │
│ Max │ 0.910 │ │ │
│ Min │ 0.675 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.
