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,-214826.434732441994128748774528503418,-21,-97.30890221893787384033203125,-97,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-118808.780231112003093585371971130371,-97,-32.555106485153558537604112643749,7,1
2,1761953019,2,58785f4a-8dc7-4452-904b-e8da185b116f,1761953021,1761953027,6,./.tests/optimization_example --int_param='10' --float_param='-31.82556330035605185458' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,f1eb92312fe9,10,-100,-31.825563300356048301864575478248,8,2_0,COMPLETED,BOTORCH_MODULAR,-123322.141123884997796267271041870117,10,-31.825563300356051854578254278749,-100,8
3,1761953032,2,58785f4a-8dc7-4452-904b-e8da185b116f,1761953034,1761953040,6,./.tests/optimization_example --int_param='-73' --float_param='-100' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,f1eb92312fe9,-73,-100,-100,8,3_0,COMPLETED,BOTORCH_MODULAR,-280766.919999999983701854944229125977,-73,-100,-100,8
========================================================================
Current git-hash: 6127a905a0021c91e4da350508e8f4b395b10e08 (last fully tested stable version 7 commits ago [d28c5c29d44332046bae86b06122177ce7683919, 8976])
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...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠙ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Importing torch...
⠋ Importing numpy...
[WARNING 10-31 23:23:35] 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: 949ec152-059e-4a24-ba82-f7b98ed8e747
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/ /_/ / / / / / / / / / / /_/ / /_/ / /_/ __/
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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=841 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: -280766.92, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:25<00:00, 6.30s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ -73.0 │ -100.0 │ -100.0 │ 8.0 │ -73 │ -100.0 │ -100 │ 8 │ -280766.92 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-10-31 23:23:38 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-31 23:23:39 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-31 23:23:39 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.10 s/job
2025-10-31 23:23:39 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, eval #1/1 start
2025-10-31 23:23:39 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, starting new job
2025-10-31 23:23:39 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, started new job
2025-10-31 23:23:48 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, new result: RESULT: -123322.141124
2025-10-31 23:23:50 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, best RESULT: -214826.434732442, finishing jobs, finished 1 job
2025-10-31 23:23:52 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, best RESULT: -214826.434732442, getting new HP set (no sbatch)
2025-10-31 23:23:52 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, best RESULT: -214826.434732442, requested 1 jobs, got 1, 1.45 s/job
2025-10-31 23:23:52 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, best RESULT: -214826.434732442, eval #1/1 start
2025-10-31 23:23:52 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, best RESULT: -214826.434732442, starting new job
2025-10-31 23:23:52 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, best RESULT: -214826.434732442, started new job
2025-10-31 23:24:01 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, best RESULT: -214826.434732442, new result: RESULT: -280766.920000
2025-10-31 23:24:03 (58785f4a-8dc7-4452-904b-e8da185b116f): BOTORCH_MODULAR, best RESULT: -280766.92, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1761953015,803.6953125,28.7