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,-163659.018503827013773843646049499512,-71,-97.60823480784893035888671875,2,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-52136.431563720201666001230478286743,10,0.024946596063956130023830937148,-67,hallo
2,1756885576,1,2fab4457-000b-4b4b-87f2-f5c18fc4205f,1756885577,1756885583,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='8' --int_param_two='-64' --nr_results=1,0,,87e1cc86a8e6,-100,-64,-100,8,2_0,COMPLETED,BOTORCH_MODULAR,-267979.719999999972060322761535644531,-100,-100,-64,8
3,1756885587,2,2fab4457-000b-4b4b-87f2-f5c18fc4205f,1756885589,1756885595,6,./.tests/optimization_example --int_param='-100' --float_param='-67.8825363407235329305' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,87e1cc86a8e6,-100,-100,-67.882536340723532930496730841696,8,3_0,COMPLETED,BOTORCH_MODULAR,-273099.561034568992909044027328491211,-100,-67.882536340723532930496730841696,-100,8
========================================================================
Current git-hash: d1319821974a6b8830eaedcce29a62bdd0f28d54 (last fully tested stable version 10 commits ago [1d9b1f4d12330ab809ba434badde9e6f4daab2ec, 8496])
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 07:46:13] 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: fc7a0efd-405b-476c-9acb-17eddbb49363
####### ## ## ## ## #### ####### ######## ######## #######
## ## ### ### ### ## ## ## ## ## ## ## ## ##
## ## #### #### #### ## ## ## ## ## ## ## ##
## ## ## ### ## ## ## ## ## ## ## ######## ## #######
## ## ## ## ## #### ## ## ## ## ## ##
## ## ## ## ## ### ## ## ## ## ## ##
####### ## ## ## ## #### ####### ## ## #########
⠋ 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...
⠋ Setting global generation strategy
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=7 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 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: -273099.561034569, finishing jobs, finished 1 job: 100%|██████████| 4/4 [00:22<00:00, 5.68s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -100.0 │ -100.0 │ -67.88253634072353 │ 8.0 │ -100 │ -67.88253634072353 │ -100 │ 8 │ -273099.561034569 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 07:46:14 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-09-03 07:46:16 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-09-03 07:46:16 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.08 s/job
2025-09-03 07:46:16 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, eval #1/1 start
2025-09-03 07:46:16 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, starting new job
2025-09-03 07:46:16 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, started new job
2025-09-03 07:46:25 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, new result: -267979.72
2025-09-03 07:46:26 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, best RESULT: -267979.72, finishing jobs, finished 1 job
2025-09-03 07:46:27 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, best RESULT: -267979.72, getting new HP set (no sbatch)
2025-09-03 07:46:27 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, best RESULT: -267979.72, requested 1 jobs, got 1, 1.03 s/job
2025-09-03 07:46:27 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, best RESULT: -267979.72, eval #1/1 start
2025-09-03 07:46:27 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, best RESULT: -267979.72, starting new job
2025-09-03 07:46:27 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, best RESULT: -267979.72, started new job
2025-09-03 07:46:36 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, best RESULT: -267979.72, new result: -273099.561034569
2025-09-03 07:46:37 (2fab4457-000b-4b4b-87f2-f5c18fc4205f): BOTORCH_MODULAR, best RESULT: -273099.561034569, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1756885574,796.44921875,25.2