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,-5685.901690908600357943214476108551,2,-5.606515407562255859375,-16,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-273191.635322898975573480129241943359,-100,-96.918553425222413011397293303162,-72,1
2,1778997957,2,bf7397cb-1f0c-4620-8d26-cd6338bbf5ea,1778997959,1778997965,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='1' --int_param_two='1' --nr_results=1,0,,a3d979d423b4,-100,1,-100,1,2_0,COMPLETED,BOTORCH_MODULAR,-221226.119999999995343387126922607422,-100,-100,1,1
3,1778997969,2,bf7397cb-1f0c-4620-8d26-cd6338bbf5ea,1778997971,1778997977,6,./.tests/optimization_example --int_param='-100' --float_param='-44.02965768766382126387' --choice_param='1' --int_param_two='-100' --nr_results=1,0,,a3d979d423b4,-100,-100,-44.029657687663821263868157984689,1,3_0,COMPLETED,BOTORCH_MODULAR,-244014.393329695012653246521949768066,-100,-44.029657687663821263868157984689,-100,1
========================================================================
Current git-hash: 3d587dc4b297f4e0db9767b04ad80de912dc9888 (version: 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...
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⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
⠋ Importing beartype...
[WARNING 05-17 06:05:52] 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: 7b6e9c14-36c3-45db-89c6-4fe77578be6b
//.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 - Adjusting parameters as if it were a s |
| acred ritual. |
\ /
=================================================
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⠋ 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=97 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: -273191.635322899, ▁█▆▇, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:24<00:00, 6.03s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ nan │ nan │ nan │ nan │ -100 │ -96.91855342522241 │ -72 │ 1 │ -273191.635322899 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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: 35s │
│ 🏆 Best RESULT: -273191.635322899 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-17 06:05:56 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-17 06:05:57 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-17 06:05:57 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.65 s/job
2026-05-17 06:05:57 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, eval #1/1 start
2026-05-17 06:05:57 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, starting new job
2026-05-17 06:05:57 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, started new job
2026-05-17 06:06:06 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, new result: RESULT: -221226.120000
2026-05-17 06:06:08 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, best RESULT: -273191.635322899, ▁█▆, finishing jobs, finished 1 job
2026-05-17 06:06:09 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, best RESULT: -273191.635322899, ▁█▆, getting new HP set (no sbatch)
2026-05-17 06:06:09 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, best RESULT: -273191.635322899, ▁█▆, requested 1 jobs, got 1, 0.59 s/job
2026-05-17 06:06:09 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, best RESULT: -273191.635322899, ▁█▆, eval #1/1 start
2026-05-17 06:06:09 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, best RESULT: -273191.635322899, ▁█▆, starting new job
2026-05-17 06:06:09 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, best RESULT: -273191.635322899, ▁█▆, started new job
2026-05-17 06:06:18 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, best RESULT: -273191.635322899, ▁█▆, new result: RESULT: -244014.393330
2026-05-17 06:06:20 (bf7397cb-1f0c-4620-8d26-cd6338bbf5ea): BOTORCH_MODULAR, best RESULT: -273191.635322899, ▁█▆▇, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1778997953,793.5625,28.2