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trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,arm_name,trial_status,generation_node,RESULT,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-43134.453821309602062683552503585815,3,-58.058016002178192138671875,-13,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-129622.308164325004327110946178436279,-48,9.08641853369772434234619140625,-96,2
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-240298.978727364010410383343696594238,-100,-40.147379466990329888176347594708,-100,2
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-303024.552563940989784896373748779297,-100,-86.163826468584005624506971798837,-100,2
4,1784186749,2,629e4e1b-9298-4c80-8995-af5e84509e01,1784186751,1784186757,6,./.tests/optimization_example --int_param='-100' --float_param='-152.78110280445997659626' --choice_param='2' --int_param_two='-100' --nr_results=1,0,,b80b0883674a,-100,-100,-152.781102804459948174553574062884,2,4_0,COMPLETED,BOTORCH_MODULAR,-468864.884021916019264608621597290039,-100,-152.781102804459976596263004466891,-100,2
5,1784186761,2,629e4e1b-9298-4c80-8995-af5e84509e01,1784186763,1784186769,6,./.tests/optimization_example --int_param='-100' --float_param='-232.30841960991224937061' --choice_param='2' --int_param_two='-100' --nr_results=1,0,,b80b0883674a,-100,-100,-232.30841960991224937060906086117,2,5_0,COMPLETED,BOTORCH_MODULAR,-783068.980177541961893439292907714844,-100,-232.30841960991224937060906086117,-100,2
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========================================================================
Current git-hash: 8dc18a659cdc2aed0ea64c43e7702ffcd93747db (last fully tested stable version 6 commits ago [7ec7c180ddeb70e69ef837c896ebe061f7046be1, 9375])
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 07-16 07:25:45] 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 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: 60
Using old run's --gpus: 0
Run-UUID: 0ee0826b-84e0-4e85-a717-77487b1a5ed2
//.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.")
_______________________________________
| OmniOpt2 - Hyper-sanity check complete! |
=======================================
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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=122 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: -783068.980177542, ▁▁▂▃▅█, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:25<00:00, 4.18s/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 │ -100.0 │ -232.30841960991225 │ 2.0 │ -100 │ -232.30841960991225 │ -100 │ 2 │ -783068.980177542 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴───────────────────┘
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: 36s │
│ 🏆 Best RESULT: -783068.980177542 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-07-16 07:25:48 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-16 07:25:49 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-16 07:25:49 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.68 s/job
2026-07-16 07:25:49 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, eval #1/1 start
2026-07-16 07:25:49 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, starting new job
2026-07-16 07:25:49 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, started new job
2026-07-16 07:25:58 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, new result: RESULT: -468864.884022
2026-07-16 07:26:00 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, best RESULT: -468864.884021916, ▁▂▄▅█, finishing jobs, finished 1 job
2026-07-16 07:26:01 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, best RESULT: -468864.884021916, ▁▂▄▅█, getting new HP set (no sbatch)
2026-07-16 07:26:01 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, best RESULT: -468864.884021916, ▁▂▄▅█, requested 1 jobs, got 1, 0.71 s/job
2026-07-16 07:26:01 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, best RESULT: -468864.884021916, ▁▂▄▅█, eval #1/1 start
2026-07-16 07:26:01 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, best RESULT: -468864.884021916, ▁▂▄▅█, starting new job
2026-07-16 07:26:01 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, best RESULT: -468864.884021916, ▁▂▄▅█, started new job
2026-07-16 07:26:10 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, best RESULT: -468864.884021916, ▁▂▄▅█, new result: RESULT: -783068.980178
2026-07-16 07:26:13 (629e4e1b-9298-4c80-8995-af5e84509e01): BOTORCH_MODULAR, best RESULT: -783068.980177542, ▁▁▂▃▅█, finishing jobs, finished 1 job
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This logs the CPU and RAM usage of the main worker process.
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timestamp,ram_usage_mb,cpu_usage_percent
1784186746,788.859375,28.3 Copy raw data to clipboard
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