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,-157854.175867037003627046942710876465,-17,-94.299776367843151092529296875,-69,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-102987.91666830499889329075813293457,-96,8.57486598776331376825510233175,7,hallo
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-126042.569466654997086152434349060059,10,-35.350525977556635837117937626317,-100,8
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-151794.92000000001280568540096282959,-49,-100,-30,8
4,1761336858,2,6f944dcc-b01c-4a3f-b7dc-a655878feb0c,1761336860,1761336866,6,./.tests/optimization_example --int_param='-35' --float_param='-601.49343310565598130779' --choice_param='8' --int_param_two='-61' --nr_results=1,0,,a7dfa24b0a5f,-35,-61,-601.493433105655981307791080325842,8,4_0,COMPLETED,BOTORCH_MODULAR,-3737674.964002849999815225601196289062,-35,-601.493433105655981307791080325842,-61,8
5,1761336870,2,6f944dcc-b01c-4a3f-b7dc-a655878feb0c,1761336872,1761336878,6,./.tests/optimization_example --int_param='-34' --float_param='-807.77617631396856268111' --choice_param='8' --int_param_two='-66' --nr_results=1,0,,a7dfa24b0a5f,-34,-66,-807.776176313968448994273785501719,8,5_0,COMPLETED,BOTORCH_MODULAR,-6671387.2478355504572391510009765625,-34,-807.776176313968562681111507117748,-66,8
========================================================================
Current git-hash: 9e308b11b2391756a0f08bb52a472c4d2b2ff7be (last fully tested stable version 13 commits ago [500f420d5799f5372ddbb373e878365bd667d8fb, 8869])
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...
⠋ Parsing arguments...
⠹ Importing torch...
⠋ Importing numpy...
[WARNING 10-24 20:14:13] 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: 54c5093d-9a9b-40e4-a50b-b82e34711e3d
________________________________________
| OmniOpt2 - Cooking up some optimization! |
========================================
\
\
^__^
(oo)\_______
(__)\ )\/\
||----w |
|| ||
⠋ 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...
⠋ 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=581 for live-results.
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: -6671387.24783555, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:24<00:00, 4.02s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -34.0 │ -66.0 │ -807.7761763139684 │ 8.0 │ -34 │ -807.7761763139686 │ -66 │ 8 │ -6671387.24783555 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-10-24 20:14:16 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-24 20:14:18 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-24 20:14:18 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.41 s/job
2025-10-24 20:14:18 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, eval #1/1 start
2025-10-24 20:14:18 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, starting new job
2025-10-24 20:14:18 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, started new job
2025-10-24 20:14:27 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, new result: RESULT: -3737674.964003
2025-10-24 20:14:29 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, best RESULT: -3737674.96400285, finishing jobs, finished 1 job
2025-10-24 20:14:30 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, best RESULT: -3737674.96400285, getting new HP set (no sbatch)
2025-10-24 20:14:30 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, best RESULT: -3737674.96400285, requested 1 jobs, got 1, 1.22 s/job
2025-10-24 20:14:30 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, best RESULT: -3737674.96400285, eval #1/1 start
2025-10-24 20:14:30 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, best RESULT: -3737674.96400285, starting new job
2025-10-24 20:14:30 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, best RESULT: -3737674.96400285, started new job
2025-10-24 20:14:39 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, best RESULT: -3737674.96400285, new result: RESULT: -6671387.247836
2025-10-24 20:14:40 (6f944dcc-b01c-4a3f-b7dc-a655878feb0c): BOTORCH_MODULAR, best RESULT: -6671387.24783555, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1761336854,803.6875,29