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,-114165.606522223999490961432456970215,-63,-52.73654520511627197265625,-54,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-33461.431493298303394112735986709595,-5,7.736996406616164279057556996122,-51,16
2,1779960455,2,3d94bbaa-2eca-491f-a964-205fee412895,1779960457,1779960463,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='4' --int_param_two='-92' --nr_results=1,0,,bb98029a977e,-100,-92,-100,4,2_0,COMPLETED,BOTORCH_MODULAR,-314034.119999999995343387126922607422,-100,-100,-92,4
3,1779960465,2,3d94bbaa-2eca-491f-a964-205fee412895,1779960467,1779960473,6,./.tests/optimization_example --int_param='-57' --float_param='-100' --choice_param='4' --int_param_two='-100' --nr_results=1,0,,bb98029a977e,-57,-100,-100,4,3_0,COMPLETED,BOTORCH_MODULAR,-258211.720000000001164153218269348145,-57,-100,-100,4
========================================================================
Current git-hash: 5c399eb6c53d4165f4e4c5d4191a2115cad88c0b (last fully tested stable version 5 commits ago [3d587dc4b297f4e0db9767b04ad80de912dc9888, 9335])
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 05-28 09:27:31] 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: 60
Using old run's --gpus: 0
Run-UUID: 045d0615-7518-4716-b901-5618203c8d9f
//.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 - Finding the needle in the hyper haysta |
| ck! |
\ /
=================================================
\
\
^__^
(oo)\_______
(__)\ )\/\
||----w |
|| ||
⠋ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --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/1...
⠋ 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/1
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
⠋ 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...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=103 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 5 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 │ -100 │ 10 │ │ 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: -314034.12, ▃▁█▆, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:20<00:00, 5.13s/it]
Best RESULT, min (total: 2 + inserted jobs: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃ 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 │ -92.0 │ -100.0 │ 4.0 │ -100 │ -100.0 │ -92 │ 4 │ -314034.12 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴────────────┘
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 / 4 done / 4 submitted │
│ ⏱️ Duration: 30s │
│ 🏆 Best RESULT: -314034.12 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-28 09:27:34 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-28 09:27:35 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-28 09:27:35 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.61 s/job
2026-05-28 09:27:35 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, eval #1/1 start
2026-05-28 09:27:35 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, starting new job
2026-05-28 09:27:35 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, started new job
2026-05-28 09:27:43 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, new result: RESULT: -314034.120000
2026-05-28 09:27:45 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, best RESULT: -314034.12, ▃▁█, finishing jobs, finished 1 job
2026-05-28 09:27:45 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, best RESULT: -314034.12, ▃▁█, getting new HP set (no sbatch)
2026-05-28 09:27:45 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, best RESULT: -314034.12, ▃▁█, requested 1 jobs, got 1, 0.52 s/job
2026-05-28 09:27:45 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, best RESULT: -314034.12, ▃▁█, eval #1/1 start
2026-05-28 09:27:45 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, best RESULT: -314034.12, ▃▁█, starting new job
2026-05-28 09:27:45 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, best RESULT: -314034.12, ▃▁█, started new job
2026-05-28 09:27:53 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, best RESULT: -314034.12, ▃▁█, new result: RESULT: -258211.720000
2026-05-28 09:27:55 (3d94bbaa-2eca-491f-a964-205fee412895): BOTORCH_MODULAR, best RESULT: -314034.12, ▃▁█▆, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1779960452,793.93359375,28.8