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,-73794.3168382567964727059006690979,-38,-67.80810177326202392578125,-9,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-217704.778373486013151705265045166016,-97,-37.299714388498941275429388042539,-93,hallo
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-133088.519999999989522621035575866699,-43,10,-100,hallo
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-297315.800041675975080579519271850586,-100,-82.836939861129081918988958932459,-100,hallo
4,1778709697,2,5b5d6a84-5e63-4f70-8a2b-36e6250680e1,1778709699,1778709705,6,./.tests/optimization_example --int_param='-100' --float_param='-919.74538988629171853972' --choice_param='hallo' --int_param_two='-100' --nr_results=1,0,,364dbffaa86a,-100,-100,-919.745389886291491166048217564821,hallo,4_0,COMPLETED,BOTORCH_MODULAR,-8771702.88115949928760528564453125,-100,-919.745389886291718539723660796881,-100,hallo
5,1778709709,2,5b5d6a84-5e63-4f70-8a2b-36e6250680e1,1778709711,1778709717,6,./.tests/optimization_example --int_param='-24' --float_param='-1000' --choice_param='hallo' --int_param_two='-100' --nr_results=1,0,,364dbffaa86a,-24,-100,-1000,hallo,5_0,COMPLETED,BOTORCH_MODULAR,-10218420.5199999995529651641845703125,-24,-1000,-100,hallo
========================================================================
Current git-hash: 3d587dc4b297f4e0db9767b04ad80de912dc9888 (last fully tested stable version 8 commits ago [35c250215b7365bf0aa1a8b33d7ddc1e197e7d1c, 9327])
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 05-13 22:01:32] 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...
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⠋ Importing Experiment...
⠋ Importing parameter types...
⠋ Importing TParameterization...
⠋ Importing pandas...
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⠋ 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: 0543202a-4b7e-494d-8714-2038b92fe8c2
//.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=95 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: -10218420.52, ▁▁▁▁▇█, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:24<00:00, 4.12s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ -24.0 │ -100.0 │ -1000.0 │ hallo │ -24 │ -1000.0 │ -100 │ hallo │ -10218420.52 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────┘
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: 36s │
│ 🏆 Best RESULT: -10218420.52 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-13 22:01:36 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-13 22:01:37 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-13 22:01:37 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.74 s/job
2026-05-13 22:01:37 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, eval #1/1 start
2026-05-13 22:01:37 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, starting new job
2026-05-13 22:01:37 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, started new job
2026-05-13 22:01:46 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, new result: RESULT: -8771702.881159
2026-05-13 22:01:48 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, best RESULT: -8771702.8811595, ▁▁▁▁█, finishing jobs, finished 1 job
2026-05-13 22:01:49 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, best RESULT: -8771702.8811595, ▁▁▁▁█, getting new HP set (no sbatch)
2026-05-13 22:01:49 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, best RESULT: -8771702.8811595, ▁▁▁▁█, requested 1 jobs, got 1, 0.84 s/job
2026-05-13 22:01:49 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, best RESULT: -8771702.8811595, ▁▁▁▁█, eval #1/1 start
2026-05-13 22:01:49 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, best RESULT: -8771702.8811595, ▁▁▁▁█, starting new job
2026-05-13 22:01:49 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, best RESULT: -8771702.8811595, ▁▁▁▁█, started new job
2026-05-13 22:01:58 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, best RESULT: -8771702.8811595, ▁▁▁▁█, new result: RESULT: -10218420.520000
2026-05-13 22:02:01 (5b5d6a84-5e63-4f70-8a2b-36e6250680e1): BOTORCH_MODULAR, best RESULT: -10218420.52, ▁▁▁▁▇█, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1778709693,795.95703125,28.2