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
0,1762117489,2,8931e2d3-30c9-4589-9033-51e20182e7b0,1762117491,1762117497,6,./.tests/optimization_example --int_param='-60' --float_param='-52.58493572473526000977' --choice_param='16' --int_param_two='-37' --nr_results=1,0,,9028497e19d2,-60,-37,-52.584935724735267115192982601002,16,0_0,COMPLETED,SOBOL,-94337.968224218901013955473899841309,-60,-52.584935724735260009765625,-37,16
1,1762117501,2,8931e2d3-30c9-4589-9033-51e20182e7b0,1762117503,1762117509,6,./.tests/optimization_example --int_param='0' --float_param='-0.983521204927037207' --choice_param='1' --int_param_two='-8' --nr_results=1,0,,9028497e19d2,0,-8,-0.9835212049270372069997847575,1,1_0,COMPLETED,BOTORCH_MODULAR,-2566.945260098109883983852341771126,0,-0.9835212049270372069997847575,-8,1
========================================================================
Current git-hash: fb7610bacbbd5f8cd88d0e553d852c84646c2476 (last fully tested stable version 4 commits ago [8d4a76150cb0339a4f620f6241fb5f465acf9f7b, 9024])
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...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Importing torch...
⠋ Importing numpy...
[WARNING 11-02 21:04:44] 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...
Run-UUID: cd67415a-01b1-43dc-9ba1-7cc3abb77981
_________________________________________________
/ \
| OmniOpt2 - Channeling my inner Gandalf: ‘You shal |
| l not pass... without fine-tuning!’ |
\ /
=================================================
\
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\
/- _ `-/ '
(/\/ \ \ /\
/ / | ` \
O O ) / |
`-^--'`< '
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<----|====O)))==) \) /====
<----' `--' `.__,' \
| |
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______( (_ / \______
,' ,-----' | \
`--{__________) \/
⠋ Writing worker creation log...
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --generate_all_jobs_at_once --follow --show_generate_time_table
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0...
⠋ 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/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...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=948 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
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 │ range │ -100 │ 10 │ │ int │ No │
│ float_param │ range │ -100 │ 10 │ │ float │ No │
│ choice_param │ choice │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ range │ -100 │ 10 │ │ int │ No │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -94337.9682242189, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:23<00:00, 11.93s/it]
Best RESULT, min (total: 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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -60 │ -37 │ -52.58493572473527 │ 16 │ -60 │ -52.58493572473526 │ -37 │ 16 │ -94337.9682242189 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.015 │ 1 │ 0.015 │
│ 2 │ 0.555 │ 1 │ 0.555 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.285 │ │ │
│ Median │ 0.285 │ │ │
│ Total │ 0.570 │ │ │
│ Max │ 0.555 │ │ │
│ Min │ 0.015 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.178 │ 1 │ 0.178 │
│ 2 │ 0.100 │ 1 │ 0.100 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.139 │ │ │
│ Median │ 0.139 │ │ │
│ Total │ 0.278 │ │ │
│ Max │ 0.178 │ │ │
│ Min │ 0.100 │ │ │
└─────────┴─────────┴──────┴──────────────┘
2025-11-02 21:04:49 (8931e2d3-30c9-4589-9033-51e20182e7b0): SOBOL, Started OmniOpt2 run...
2025-11-02 21:04:49 (8931e2d3-30c9-4589-9033-51e20182e7b0): SOBOL, getting new HP set (no sbatch)
2025-11-02 21:04:49 (8931e2d3-30c9-4589-9033-51e20182e7b0): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2025-11-02 21:04:49 (8931e2d3-30c9-4589-9033-51e20182e7b0): SOBOL, eval #1/1 start
2025-11-02 21:04:49 (8931e2d3-30c9-4589-9033-51e20182e7b0): SOBOL, starting new job
2025-11-02 21:04:49 (8931e2d3-30c9-4589-9033-51e20182e7b0): SOBOL, started new job
2025-11-02 21:04:58 (8931e2d3-30c9-4589-9033-51e20182e7b0): SOBOL, new result: RESULT: -94337.968224
2025-11-02 21:05:00 (8931e2d3-30c9-4589-9033-51e20182e7b0): SOBOL, best RESULT: -94337.9682242189, finishing jobs, finished 1 job
2025-11-02 21:05:01 (8931e2d3-30c9-4589-9033-51e20182e7b0): BOTORCH_MODULAR, best RESULT: -94337.9682242189, getting new HP set (no sbatch)
2025-11-02 21:05:01 (8931e2d3-30c9-4589-9033-51e20182e7b0): BOTORCH_MODULAR, best RESULT: -94337.9682242189, requested 1 jobs, got 1, 0.55 s/job
2025-11-02 21:05:01 (8931e2d3-30c9-4589-9033-51e20182e7b0): BOTORCH_MODULAR, best RESULT: -94337.9682242189, eval #1/1 start
2025-11-02 21:05:01 (8931e2d3-30c9-4589-9033-51e20182e7b0): BOTORCH_MODULAR, best RESULT: -94337.9682242189, starting new job
2025-11-02 21:05:01 (8931e2d3-30c9-4589-9033-51e20182e7b0): BOTORCH_MODULAR, best RESULT: -94337.9682242189, started new job
2025-11-02 21:05:10 (8931e2d3-30c9-4589-9033-51e20182e7b0): BOTORCH_MODULAR, best RESULT: -94337.9682242189, new result: RESULT: -2566.945260
2025-11-02 21:05:12 (8931e2d3-30c9-4589-9033-51e20182e7b0): BOTORCH_MODULAR, best RESULT: -94337.9682242189, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1762117484,801.68359375,26.6