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,-110975.177369854995049536228179931641,-4,-11.8186128139495849609375,-99,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-147989.073123359994497150182723999023,-90,-70.556702630117371199958142824471,7,1
2,1762093747,2,862f78f7-9f36-4522-96b1-27d0d30f69c3,1762093749,1762093755,6,./.tests/optimization_example --int_param='-100' --float_param='1.8364102388810430444' --choice_param='1' --int_param_two='10' --nr_results=1,0,,d9ba802c4c18,-100,10,1.836410238881043266445658446173,1,2_0,COMPLETED,BOTORCH_MODULAR,-111263.403001767001114785671234130859,-100,1.836410238881043044401053521142,10,1
3,1762093761,2,862f78f7-9f36-4522-96b1-27d0d30f69c3,1762093763,1762093769,6,./.tests/optimization_example --int_param='-88' --float_param='-94.90730764002535124746' --choice_param='1' --int_param_two='7' --nr_results=1,0,,d9ba802c4c18,-88,7,-94.907307640025365458313899580389,1,3_0,COMPLETED,BOTORCH_MODULAR,-186951.621198787004686892032623291016,-88,-94.907307640025351247459184378386,7,1
========================================================================
Current git-hash: 932b94067ae1231fbd5122e47d101f990f69b1c6 (last fully tested stable version 11 commits ago [927e8d86b134baca5ee5dba22a7dea3f49057f12, 9012])
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 11-02 14:29:00] 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: 88727b11-3ab4-4270-b913-eacb08f6bb19
_________________________________________________
/ \
| OmniOpt2 - The fractal of hyperparameters: The de |
| eper you go, the more you see. |
\ /
=================================================
\
\
^__^
(oo)\_______
(__)\ )\/\
||----w |
|| ||
⠋ 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=934 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: -186951.621198787, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:28<00:00, 7.02s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -88.0 │ 7.0 │ -94.90730764002537 │ 1.0 │ -88 │ -94.90730764002535 │ 7 │ 1 │ -186951.621198787 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-11-02 14:29:06 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-11-02 14:29:07 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-11-02 14:29:07 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.16 s/job
2025-11-02 14:29:07 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, eval #1/1 start
2025-11-02 14:29:07 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, starting new job
2025-11-02 14:29:07 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, started new job
2025-11-02 14:29:16 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, new result: RESULT: -111263.403002
2025-11-02 14:29:19 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, best RESULT: -147989.07312336, finishing jobs, finished 1 job
2025-11-02 14:29:21 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, best RESULT: -147989.07312336, getting new HP set (no sbatch)
2025-11-02 14:29:21 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, best RESULT: -147989.07312336, requested 1 jobs, got 1, 1.24 s/job
2025-11-02 14:29:21 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, best RESULT: -147989.07312336, eval #1/1 start
2025-11-02 14:29:21 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, best RESULT: -147989.07312336, starting new job
2025-11-02 14:29:21 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, best RESULT: -147989.07312336, started new job
2025-11-02 14:29:30 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, best RESULT: -147989.07312336, new result: RESULT: -186951.621199
2025-11-02 14:29:34 (862f78f7-9f36-4522-96b1-27d0d30f69c3): BOTORCH_MODULAR, best RESULT: -186951.621198787, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1762093741,803.421875,28.7