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
0,1762117589,2,02637ec5-2c95-4899-bcbf-66d0dba59b6d,1762117591,1762117597,6,./.tests/optimization_example --int_param='5' --float_param='-76.12235754728317260742' --choice_param='2' --int_param_two='-49' --nr_results=1,0,,9f85ea527884,5,-49,-76.122357547283172607421875,2,0_0,COMPLETED,SOBOL,-94725.288940292506595142185688018799,5,-76.122357547283172607421875,-49,2
1,1762117601,2,02637ec5-2c95-4899-bcbf-66d0dba59b6d,1762117603,1762117609,6,./.tests/optimization_example --int_param='-99' --float_param='-8.29007473502574399049' --choice_param='1' --int_param_two='-40' --nr_results=1,0,,9f85ea527884,-99,-40,-8.290074735025743990490809665062,1,1_0,COMPLETED,BOTORCH_MODULAR,-130297.580864625997492112219333648682,-99,-8.290074735025743990490809665062,-40,1
========================================================================
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 21:06:25] 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: 37ed63cd-5ca2-45a7-b781-b41c234b8bd1
_________________________________________________
/ \
| OmniOpt2 - The Montana Sacra of optimization – on |
| ly the enlightened reach the peak. |
\ /
=================================================
\
\
\
\
/- _ `-/ '
(/\/ \ \ /\
/ / | ` \
O O ) / |
`-^--'`< '
(_.) _ ) /
`.___/` /
`-----' /
<----. __ / __ \
<----|====O)))==) \) /====
<----' `--' `.__,' \
| |
\ /
______( (_ / \______
,' ,-----' | \
`--{__________) \/
⠋ 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=951 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: -130297.580864626, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:23<00:00, 11.72s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -99 │ -40 │ -8.290074735025744 │ 1 │ -99 │ -8.290074735025744 │ -40 │ 1 │ -130297.580864626 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │ 0.013 │ 1 │ 0.013 │
│ 2 │ 0.575 │ 1 │ 0.575 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.294 │ │ │
│ Median │ 0.294 │ │ │
│ Total │ 0.588 │ │ │
│ Max │ 0.575 │ │ │
│ Min │ 0.013 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.169 │ 1 │ 0.169 │
│ 2 │ 0.097 │ 1 │ 0.097 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.133 │ │ │
│ Median │ 0.133 │ │ │
│ Total │ 0.266 │ │ │
│ Max │ 0.169 │ │ │
│ Min │ 0.097 │ │ │
└─────────┴─────────┴──────┴──────────────┘
2025-11-02 21:06:29 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): SOBOL, Started OmniOpt2 run...
2025-11-02 21:06:29 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): SOBOL, getting new HP set (no sbatch)
2025-11-02 21:06:29 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): SOBOL, requested 1 jobs, got 1, 0.01 s/job
2025-11-02 21:06:29 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): SOBOL, eval #1/1 start
2025-11-02 21:06:29 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): SOBOL, starting new job
2025-11-02 21:06:30 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): SOBOL, started new job
2025-11-02 21:06:39 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): SOBOL, new result: RESULT: -94725.288940
2025-11-02 21:06:41 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): SOBOL, best RESULT: -94725.2889402925, finishing jobs, finished 1 job
2025-11-02 21:06:41 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): BOTORCH_MODULAR, best RESULT: -94725.2889402925, getting new HP set (no sbatch)
2025-11-02 21:06:41 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): BOTORCH_MODULAR, best RESULT: -94725.2889402925, requested 1 jobs, got 1, 0.57 s/job
2025-11-02 21:06:41 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): BOTORCH_MODULAR, best RESULT: -94725.2889402925, eval #1/1 start
2025-11-02 21:06:41 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): BOTORCH_MODULAR, best RESULT: -94725.2889402925, starting new job
2025-11-02 21:06:41 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): BOTORCH_MODULAR, best RESULT: -94725.2889402925, started new job
2025-11-02 21:06:49 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): BOTORCH_MODULAR, best RESULT: -94725.2889402925, new result: RESULT: -130297.580865
2025-11-02 21:06:53 (02637ec5-2c95-4899-bcbf-66d0dba59b6d): BOTORCH_MODULAR, best RESULT: -130297.580864626, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1762117585,800.6484375,27