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,-83398.027839386195410043001174926758,0,-31.17444932460784912109375,-79,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-171963.279989159986143931746482849121,-74,-98.292187501843642394305788911879,-6,16
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-127282.998409009000170044600963592529,-100,-33.610462842355644852432305924594,10,16
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-121911.720000000001164153218269348145,-22,-100,-12,16
4,1756919665,2,1b21ae19-014b-471e-870b-b03763403ba8,1756919667,1756919673,6,./.tests/optimization_example --int_param='-66' --float_param='-282.15993345941978986957' --choice_param='16' --int_param_two='-41' --nr_results=1,0,,b89295d7725d,-66,-41,-282.159933459419733026152243837714,16,4_0,COMPLETED,BOTORCH_MODULAR,-897434.793844184023328125476837158203,-66,-282.159933459419789869571104645729,-41,16
5,1756919677,2,1b21ae19-014b-471e-870b-b03763403ba8,1756919679,1756919685,6,./.tests/optimization_example --int_param='-100' --float_param='-366.61530929340267448424' --choice_param='16' --int_param_two='-51' --nr_results=1,0,,b89295d7725d,-100,-51,-366.615309293402617640822427347302,16,5_0,COMPLETED,BOTORCH_MODULAR,-1523805.901012310059741139411926269531,-100,-366.615309293402674484241288155317,-51,16
========================================================================
Current git-hash: b3149df187a4fb21389f8cc7afc1acc92b0453d8 (last fully tested stable version 1 commit ago [dfc5cafb664999b23cb445ee6eff32e5a13c6faf, 8507])
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 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...
⠋ Parsing arguments...
⠹ Importing torch...
⠋ Importing numpy...
[WARNING 09-03 17:14:22] 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: 25d0841b-a3aa-453e-b0be-670cc882a1a9
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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...
⠋ Setting global generation strategy
⠋ 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=14 for live-results.
⠙ Initializing live share...
⠙ Initializing live share...
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: -1523805.90101231, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:23<00:00, 3.87s/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 │ -51.0 │ -366.6153092934026 │ 16.0 │ -100 │ -366.6153092934027 │ -51 │ 16 │ -1523805.90101231 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-09-03 17:14:24 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-09-03 17:14:25 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-09-03 17:14:25 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.29 s/job
2025-09-03 17:14:25 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, eval #1/1 start
2025-09-03 17:14:25 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, starting new job
2025-09-03 17:14:25 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, started new job
2025-09-03 17:14:34 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, new result: -897434.793844184
2025-09-03 17:14:36 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, best RESULT: -897434.793844184, finishing jobs, finished 1 job
2025-09-03 17:14:37 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, best RESULT: -897434.793844184, getting new HP set (no sbatch)
2025-09-03 17:14:37 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, best RESULT: -897434.793844184, requested 1 jobs, got 1, 1.09 s/job
2025-09-03 17:14:37 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, best RESULT: -897434.793844184, eval #1/1 start
2025-09-03 17:14:37 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, best RESULT: -897434.793844184, starting new job
2025-09-03 17:14:37 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, best RESULT: -897434.793844184, started new job
2025-09-03 17:14:46 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, best RESULT: -897434.793844184, new result: -1523805.90101231
2025-09-03 17:14:47 (1b21ae19-014b-471e-870b-b03763403ba8): BOTORCH_MODULAR, best RESULT: -1523805.90101231, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1756919664,797.2421875,26.1