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,-161613.640928818989777937531471252441,-83,-85.334002971649169921875,-9,hallo
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-132536.636904215993126854300498962402,-45,5.227355276241929082914339232957,-99,1
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-114788.520000000004074536263942718506,-14,-100,10,hallo
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-187729.959399131999816745519638061523,-100,-69.2300743628428989495660061948,-42,hallo
4,1761563242,2,84f574cf-2954-4749-afd0-af823b0b4e9e,1761563244,1761563250,6,./.tests/optimization_example --int_param='-100' --float_param='374.5382426780958553536' --choice_param='hallo' --int_param_two='-76' --nr_results=1,0,,6747dbb75ec8,-100,-76,374.538242678095912197022698819637,hallo,4_0,COMPLETED,BOTORCH_MODULAR,-1541366.848016150062903761863708496094,-100,374.538242678095855353603838011622,-76,hallo
5,1761563256,2,84f574cf-2954-4749-afd0-af823b0b4e9e,1761563258,1761563264,6,./.tests/optimization_example --int_param='-100' --float_param='530.13152397201599796972' --choice_param='hallo' --int_param_two='-84' --nr_results=1,0,,6747dbb75ec8,-100,-84,530.131523972015997969720046967268,hallo,5_0,COMPLETED,BOTORCH_MODULAR,-2946926.49469172023236751556396484375,-100,530.131523972015997969720046967268,-84,hallo
========================================================================
Current git-hash: 3ef710a65c0ad76103be7e2c9747a135c130e94d (last fully tested stable version 9 commits ago [334beedeec6e90099e9c2cfcb63dc36f1fa7798d, 8920])
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...
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⠋ 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...
⠋ Trying to import pyfiglet...
⠋ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠹ Importing torch...
⠋ Importing numpy...
[WARNING 10-27 11:07:15] 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 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 MaxTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Models 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: ed0c5dc9-f1de-406f-af0b-7bf95308099e
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| OmniOpt2 - Climbing the hyperparameter mountain.. |
| . Montana Sacra style! |
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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=695 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: -2946926.49469172, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:26<00:00, 4.46s/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 │ -84.0 │ 530.131523972016 │ hallo │ -100 │ 530.131523972016 │ -84 │ hallo │ -2946926.49469172 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴──────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-10-27 11:07:21 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-27 11:07:22 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-27 11:07:22 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.28 s/job
2025-10-27 11:07:22 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, eval #1/1 start
2025-10-27 11:07:22 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, starting new job
2025-10-27 11:07:22 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, started new job
2025-10-27 11:07:31 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, new result: RESULT: -1541366.848016
2025-10-27 11:07:35 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, best RESULT: -1541366.84801615, finishing jobs, finished 1 job
2025-10-27 11:07:36 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, best RESULT: -1541366.84801615, getting new HP set (no sbatch)
2025-10-27 11:07:36 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, best RESULT: -1541366.84801615, requested 1 jobs, got 1, 1.38 s/job
2025-10-27 11:07:36 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, best RESULT: -1541366.84801615, eval #1/1 start
2025-10-27 11:07:36 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, best RESULT: -1541366.84801615, starting new job
2025-10-27 11:07:37 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, best RESULT: -1541366.84801615, started new job
2025-10-27 11:07:46 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, best RESULT: -1541366.84801615, new result: RESULT: -2946926.494692
2025-10-27 11:07:48 (84f574cf-2954-4749-afd0-af823b0b4e9e): BOTORCH_MODULAR, best RESULT: -2946926.49469172, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1761563235,804.140625,28.6