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,-134048.483008145005442202091217041016,-36,-52.537086308002471923828125,-87,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-45426.824622924599680118262767791748,-62,5.33235868043979799324461055221,7,2
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-308318.919999999983701854944229125977,-89,-100,-100,8
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-251870.119999999995343387126922607422,-100,-100,-51,8
4,1757528727,2,320730e9-be57-4bf5-954f-6170eaf0e54d,1757528729,1757528735,6,./.tests/optimization_example --int_param='-87' --float_param='-989.11280015460386039194' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,cbb7f1d35077,-87,-100,-989.11280015460386039194418117404,8,4_0,COMPLETED,BOTORCH_MODULAR,-10076947.5143123008310794830322265625,-87,-989.11280015460386039194418117404,-100,8
5,1757528738,2,320730e9-be57-4bf5-954f-6170eaf0e54d,1757528740,1757528746,6,./.tests/optimization_example --int_param='10' --float_param='-1000' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,cbb7f1d35077,10,-100,-1000,8,5_0,COMPLETED,BOTORCH_MODULAR,-10210010.91999999992549419403076171875,10,-1000,-100,8
========================================================================
Current git-hash: 33c5e75617b34647b253b07d1c9c22389a452f14 (last fully tested stable version 18 commits ago [fd169efde52c08105aa8078cc890532aea608c04, 8509])
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 09-10 18:25:24] 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: 41fe6f20-de90-470d-bdb8-caedb0f60398
_________________________________________________
/ \
| OmniOpt2 - Welcome to the Hyperparameter Games: M |
| ay the odds be ever in your favor! |
\ /
=================================================
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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=68 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: -10210010.92, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:23<00:00, 3.91s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 10.0 │ -100.0 │ -1000.0 │ 8.0 │ 10 │ -1000.0 │ -100 │ 8 │ -10210010.92 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-09-10 18:25:26 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-09-10 18:25:27 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-09-10 18:25:27 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.00 s/job
2025-09-10 18:25:27 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, eval #1/1 start
2025-09-10 18:25:27 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, starting new job
2025-09-10 18:25:27 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, started new job
2025-09-10 18:25:36 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, new result: -10076947.5143123
2025-09-10 18:25:37 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, best RESULT: -10076947.5143123, finishing jobs, finished 1 job
2025-09-10 18:25:38 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, best RESULT: -10076947.5143123, getting new HP set (no sbatch)
2025-09-10 18:25:38 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, best RESULT: -10076947.5143123, requested 1 jobs, got 1, 1.19 s/job
2025-09-10 18:25:38 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, best RESULT: -10076947.5143123, eval #1/1 start
2025-09-10 18:25:38 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, best RESULT: -10076947.5143123, starting new job
2025-09-10 18:25:38 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, best RESULT: -10076947.5143123, started new job
2025-09-10 18:25:48 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, best RESULT: -10076947.5143123, new result: -10210010.92
2025-09-10 18:25:49 (320730e9-be57-4bf5-954f-6170eaf0e54d): BOTORCH_MODULAR, best RESULT: -10210010.92, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1757528726,798.55859375,25.2