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,-126395.396723034005844965577125549316,-64,-71.818276941776275634765625,-38,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-64068.221814463300688657909631729126,9,-13.744870803671265235834653140046,-73,8
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-222625.320000000006984919309616088867,-100,-100,10,16
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-140163.841856860002735629677772521973,-100,-47.714819412438224333072867011651,10,16
4,1767522846,2,1c57a2dd-19d0-49db-8e5f-a26df2fe49b3,1767522848,1767522854,6,./.tests/optimization_example --int_param='-100' --float_param='-976.71073557092029204796' --choice_param='16' --int_param_two='10' --nr_results=1,0,,16fa7e7f8187,-100,10,-976.710735570920292047958355396986,16,4_0,COMPLETED,BOTORCH_MODULAR,-9749935.00335196964442729949951171875,-100,-976.710735570920292047958355396986,10,16
5,1767522858,2,1c57a2dd-19d0-49db-8e5f-a26df2fe49b3,1767522860,1767522866,6,./.tests/optimization_example --int_param='-100' --float_param='-1000' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,16fa7e7f8187,-100,-100,-1000,16,5_0,COMPLETED,BOTORCH_MODULAR,-10321437.320000000298023223876953125,-100,-1000,-100,16
========================================================================
Current git-hash: 17490ac6efe4d73318824c31d8ab32d7a8875a52 (last fully tested stable version 5 commits ago [941829b5ef8c208e9de98b3eb85bb46f0d23e169, 9213])
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...
[WARNING 01-04 10:33:54] 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...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠋ 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...
⠋ 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: ba96943c-5ca5-4502-a1ed-80b025983c97
_________________________________________________
/ \
| OmniOpt2 - Optimizing parameters with the flair o |
| f a magician pulling rabbits out of hats. |
\ /
=================================================
\
\
\
\
__---__
_- /--______
__--( / \ )XXXXXXXXXXX\v.
.-XXX( O O )XXXXXXXXXXXXXXX-
/XXX( U ) XXXXXXX\
/XXXXX( )--_ XXXXXXXXXXX\
/XXXXX/ ( O ) XXXXXX \XXXXX\
XXXXX/ / XXXXXX \__ \XXXXX
XXXXXX__/ XXXXXX \__---->
---___ XXX__/ XXXXXX \__ /
\- --__/ ___/\ XXXXXX / ___--/=
\-\ ___/ XXXXXX '--- XXXXXX
\-\/XXX\ XXXXXX /XXXXX
\XXXXXXXXX \ /XXXXX/
\XXXXXX > _/XXXXX/
\XXXXX--__/ __-- XXXX/
-XXXXXXXX--------------- XXXXXX-
\XXXXXXXXXXXXXXXXXXXXXXXXXX/
""VXXXXXXXXXXXXXXXXXXV""
⠋ 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...
This call should have shown the CURL, but didnt. Stdout: Error trying to create directory shares//defaultuser/__main__tests__BOTORCH_MODULAR___nogridsearch/172. Error:
ErrorException: mkdir(): File exists in /var/oo_gui/OmniOpt/.gui/share_functions.php:2053
Stack trace:
#0 [internal function]: {closure}()
#1 /var/oo_gui/OmniOpt/.gui/share_functions.php(2053): mkdir()
#2 /var/oo_gui/OmniOpt/.gui/share_functions.php(2119): create_new_folder()
#3 /var/oo_gui/OmniOpt/.gui/share_internal.php(116): get_user_folder()
#4 {main}
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: -10321437.32, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:23<00:00, 3.89s/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 │ -100.0 │ -1000.0 │ 16.0 │ -100 │ -1000.0 │ -100 │ 16 │ -10321437.32 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────┘
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 10:34:05 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-01-04 10:34:06 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-01-04 10:34:06 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.77 s/job
2026-01-04 10:34:06 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, eval #1/1 start
2026-01-04 10:34:06 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, starting new job
2026-01-04 10:34:06 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, started new job
2026-01-04 10:34:16 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, new result: RESULT: -9749935.003352
2026-01-04 10:34:17 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, best RESULT: -9749935.00335197, finishing jobs, finished 1 job
2026-01-04 10:34:18 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, best RESULT: -9749935.00335197, getting new HP set (no sbatch)
2026-01-04 10:34:18 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, best RESULT: -9749935.00335197, requested 1 jobs, got 1, 0.88 s/job
2026-01-04 10:34:18 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, best RESULT: -9749935.00335197, eval #1/1 start
2026-01-04 10:34:18 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, best RESULT: -9749935.00335197, starting new job
2026-01-04 10:34:18 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, best RESULT: -9749935.00335197, started new job
2026-01-04 10:34:27 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, best RESULT: -9749935.00335197, new result: RESULT: -10321437.320000
2026-01-04 10:34:29 (1c57a2dd-19d0-49db-8e5f-a26df2fe49b3): BOTORCH_MODULAR, best RESULT: -10321437.32, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1767522835,813.8515625,28.5