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,-62645.400561738402757328003644943237,-11,-36.06833398342132568359375,-61,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-105817.037673993996577337384223937988,-97,-4.851485542771934333927674742881,9,1
2,1766930922,2,14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9,1766930924,1766930930,6,./.tests/optimization_example --int_param='-100' --float_param='-78.00419758426041028088' --choice_param='1' --int_param_two='10' --nr_results=1,0,,4aa6d093e500,-100,10,-78.004197584260410280876385513693,1,2_0,COMPLETED,BOTORCH_MODULAR,-180060.288166068989085033535957336426,-100,-78.004197584260410280876385513693,10,1
3,1766930934,2,14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9,1766930936,1766930942,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='1' --int_param_two='-29' --nr_results=1,0,,4aa6d093e500,-100,-29,-100,1,3_0,COMPLETED,BOTORCH_MODULAR,-232302.119999999995343387126922607422,-100,-100,-29,1
========================================================================
Current git-hash: 193b0a557582140e3956c717c98ac1e73f6c4150 (last fully tested stable version 6 commits ago [615815d7faceb30fd81f992ecff2c39b1a8872ef, 9176])
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 12-28 14:08:38] ax.service.utils.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...
⠋ 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 get_pending_observation_features...
⠋ 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: 54668752-c5e5-4882-b916-8a45a7f6134e
_________________________________________________
/ \
| OmniOpt2 - Tuning like a Jedi: Feel the force of |
| the optimal values. |
\ /
=================================================
\
\
\
\
___-------___
_-~~ ~~-_
_-~ /~-_
/^\__/^\ /~ \ / \
/| O|| O| / \_______________/ \
| |___||__| / / \ \
| \ / / \ \
| (_______) /______/ \_________ \
| / / \ / \
\ \^\\ \ / \ /
\ || \______________/ _-_ //\__//
\ ||------_-~~-_ ------------- \ --/~ ~\ || __/
~-----||====/~ |==================| |/~~~~~
(_(__/ ./ / \_\ \.
(_(___/ \_____)_)
⠋ 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=86 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: -232302.12, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:22<00:00, 5.73s/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 │ -29.0 │ -100.0 │ 1.0 │ -100 │ -100.0 │ -29 │ 1 │ -232302.12 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-12-28 14:08:42 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-28 14:08:42 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-12-28 14:08:42 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.55 s/job
2025-12-28 14:08:42 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, eval #1/1 start
2025-12-28 14:08:42 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, starting new job
2025-12-28 14:08:43 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, started new job
2025-12-28 14:08:52 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, new result: RESULT: -180060.288166
2025-12-28 14:08:53 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, best RESULT: -180060.288166069, finishing jobs, finished 1 job
2025-12-28 14:08:54 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, best RESULT: -180060.288166069, getting new HP set (no sbatch)
2025-12-28 14:08:54 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, best RESULT: -180060.288166069, requested 1 jobs, got 1, 0.62 s/job
2025-12-28 14:08:54 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, best RESULT: -180060.288166069, eval #1/1 start
2025-12-28 14:08:54 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, best RESULT: -180060.288166069, starting new job
2025-12-28 14:08:54 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, best RESULT: -180060.288166069, started new job
2025-12-28 14:09:03 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, best RESULT: -180060.288166069, new result: RESULT: -232302.120000
2025-12-28 14:09:05 (14a115a1-8c1d-4c30-b9c9-721fa9d1a9e9): BOTORCH_MODULAR, best RESULT: -232302.12, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1766930919,810.5078125,28.6