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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,-136488.414220901991939172148704528809,-65,-17.63160228729248046875,-86,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-596.350452204199996231182012706995,1,6.530700891884947623111656866968,5,8
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-292019.46645548398373648524284362793,-100,-79.878823304451998410513624548912,-100,1
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-256461.320000000006984919309616088867,-100,-100,-55,1
4,1784185389,1,638668bd-d673-4d25-af62-11c2b9c74f85,1784185390,1784185396,6,./.tests/optimization_example --int_param='-100' --float_param='847.8877966676105870647' --choice_param='1' --int_param_two='-100' --nr_results=1,0,,91f1614476ce,-100,-100,847.887796667610587064700666815042,1,4_0,COMPLETED,BOTORCH_MODULAR,-7324573.69771178998053073883056640625,-100,847.887796667610587064700666815042,-100,1
5,1784185400,1,638668bd-d673-4d25-af62-11c2b9c74f85,1784185401,1784185407,6,./.tests/optimization_example --int_param='-100' --float_param='1000' --choice_param='1' --int_param_two='-66' --nr_results=1,0,,91f1614476ce,-100,-66,1000,1,5_0,COMPLETED,BOTORCH_MODULAR,-10060752.5199999995529651641845703125,-100,1000,-66,1
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========================================================================
Current git-hash: 217f22ee8fab51f519ae742bea744c5b9028bc6f (last fully tested stable version 4 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 07:03:05] 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: 2e0a1419-0fb0-4226-8607-610e07d4b1e7
//.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 - Tuning hyperparameters with the finess |
| e of a cat trying not to knock over the vase. |
\ /
=================================================
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\- --__/ ___/\ XXXXXX / ___--/=
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""VXXXXXXXXXXXXXXXXXXV""
⠋ 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=119 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: -10060752.52, ▁▁▁▁▆█, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:21<00:00, 3.64s/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 │ -66.0 │ 1000.0 │ 1.0 │ -100 │ 1000.0 │ -66 │ 1 │ -10060752.52 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────┘
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: 31s │
│ 🏆 Best RESULT: -10060752.52 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-07-16 07:03:08 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-16 07:03:09 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-16 07:03:09 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.75 s/job
2026-07-16 07:03:09 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, eval #1/1 start
2026-07-16 07:03:09 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, starting new job
2026-07-16 07:03:09 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, started new job
2026-07-16 07:03:17 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, new result: RESULT: -7324573.697712
2026-07-16 07:03:19 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, best RESULT: -7324573.69771179, ▁▁▁▁█, finishing jobs, finished 1 job
2026-07-16 07:03:20 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, best RESULT: -7324573.69771179, ▁▁▁▁█, getting new HP set (no sbatch)
2026-07-16 07:03:20 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, best RESULT: -7324573.69771179, ▁▁▁▁█, requested 1 jobs, got 1, 0.67 s/job
2026-07-16 07:03:20 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, best RESULT: -7324573.69771179, ▁▁▁▁█, eval #1/1 start
2026-07-16 07:03:20 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, best RESULT: -7324573.69771179, ▁▁▁▁█, starting new job
2026-07-16 07:03:20 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, best RESULT: -7324573.69771179, ▁▁▁▁█, started new job
2026-07-16 07:03:28 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, best RESULT: -7324573.69771179, ▁▁▁▁█, new result: RESULT: -10060752.520000
2026-07-16 07:03:30 (638668bd-d673-4d25-af62-11c2b9c74f85): BOTORCH_MODULAR, best RESULT: -10060752.52, ▁▁▁▁▆█, 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
1784185386,788.7578125,29.2 Copy raw data to clipboard
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