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,-155121.190872934006620198488235473633,-88,-73.3154332637786865234375,-19,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-108309.70159152700216509401798248291,-1,-10.406432395356425502086494816467,-98,hallo
2,1767524287,2,56d418e7-fb7d-49d5-b1d6-df98c0820e36,1767524289,1767524295,6,./.tests/optimization_example --int_param='-100' --float_param='-8.25649098901774181058' --choice_param='16' --int_param_two='10' --nr_results=1,0,,a57ec4f96ead,-100,10,-8.256490989017740034228154399898,16,2_0,COMPLETED,BOTORCH_MODULAR,-114132.665533418999984860420227050781,-100,-8.256490989017741810584993800148,10,16
3,1767524299,2,56d418e7-fb7d-49d5-b1d6-df98c0820e36,1767524301,1767524307,6,./.tests/optimization_example --int_param='-85' --float_param='-97.21801644412141740759' --choice_param='16' --int_param_two='-28' --nr_results=1,0,,a57ec4f96ead,-85,-28,-97.2180164441214031967319897376,16,3_0,COMPLETED,BOTORCH_MODULAR,-197810.148857707012211903929710388184,-85,-97.218016444121417407586704939604,-28,16
========================================================================
Current git-hash: fa78bbd92e7685b0abffcc8f9e982f6189f6b477 (last fully tested stable version 7 commits ago [941829b5ef8c208e9de98b3eb85bb46f0d23e169, 9213])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing dataclass...
⠋ 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...
⠋ Importing inspect frame info...
⠋ Importing pathlib.Path...
⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing tqdm...
⠋ Importing beartype...
[WARNING 01-04 10:58:03] 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...
⠋ Trying to import pyfiglet...
⠋ Importing argparse...
⠋ Importing datetime...
⠋ Importing socket...
⠋ Importing stat...
⠋ Importing pwd...
⠋ Importing base64...
⠋ Importing yaml...
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⠋ Importing subprocess...
⠋ Importing statistics...
⠋ Importing pickle...
⠋ 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...
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⠋ Importing save_experiment_to_db...
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⠋ Importing Data...
⠋ Importing Experiment...
⠋ Importing parameter types...
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⠋ Importing pandas...
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⠋ 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: 88edcbc8-6ecc-4aa7-a9a5-eef6fa7d2a9b
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| OmniOpt2 - Hyperparameters: Where science and mag |
| ic shake hands. |
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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=182 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: -197810.148857707, 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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -85.0 │ -28.0 │ -97.2180164441214 │ 16.0 │ -85 │ -97.21801644412142 │ -28 │ 16 │ -197810.148857707 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-01-04 10:58:07 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-01-04 10:58:07 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-01-04 10:58:07 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.57 s/job
2026-01-04 10:58:07 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, eval #1/1 start
2026-01-04 10:58:07 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, starting new job
2026-01-04 10:58:07 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, started new job
2026-01-04 10:58:16 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, new result: RESULT: -114132.665533
2026-01-04 10:58:18 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, best RESULT: -155121.190872934, finishing jobs, finished 1 job
2026-01-04 10:58:19 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, best RESULT: -155121.190872934, getting new HP set (no sbatch)
2026-01-04 10:58:19 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, best RESULT: -155121.190872934, requested 1 jobs, got 1, 0.63 s/job
2026-01-04 10:58:19 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, best RESULT: -155121.190872934, eval #1/1 start
2026-01-04 10:58:19 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, best RESULT: -155121.190872934, starting new job
2026-01-04 10:58:19 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, best RESULT: -155121.190872934, started new job
2026-01-04 10:58:28 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, best RESULT: -155121.190872934, new result: RESULT: -197810.148858
2026-01-04 10:58:30 (56d418e7-fb7d-49d5-b1d6-df98c0820e36): BOTORCH_MODULAR, best RESULT: -197810.148857707, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1767524284,811.17578125,28.7