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
0,1762982478,2,13ccafe8-2ea4-48a0-9c7b-7908c933d46b,1762982480,1762982486,6,./.tests/optimization_example --int_param='-56' --float_param='-32.61793076992034912109' --choice_param='16' --int_param_two='6' --nr_results=1,0,,e7bfeed108d7,-56,6,-32.61793076992034912109375,16,0_0,COMPLETED,SOBOL,-53115.207154105199151672422885894775,-56,-32.61793076992034912109375,6,16
1,1762982489,2,13ccafe8-2ea4-48a0-9c7b-7908c933d46b,1762982491,1762982497,6,./.tests/optimization_example --int_param='7' --float_param='-21.30642761078408398134' --choice_param='hallo' --int_param_two='-96' --nr_results=1,0,,e7bfeed108d7,7,-96,-21.306427610784083981343428604305,hallo,1_0,COMPLETED,BOTORCH_MODULAR,-108462.001336414003162644803524017334,7,-21.306427610784083981343428604305,-96,hallo
========================================================================
Current git-hash: 5138dac9699446835928527562b5e2b197c923f4 (last fully tested stable version 5 commits ago [c469e04d3b6be6a64610427ed0a7f1562b9a4eae, 9077])
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 11-12 21:21:13] 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...
Run-UUID: 2a6fb6c5-a2fe-4516-9cee-350c17455b4d
_________________________________
| OmniOpt2 - Tuning like a maestro! |
=================================
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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=1116 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: -108462.001336414, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:23<00:00, 11.56s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ 7 │ -96 │ -21.306427610784084 │ hallo │ 7 │ -21.306427610784084 │ -96 │ hallo │ -108462.001336414 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │ 0.014 │ 1 │ 0.014 │
│ 2 │ 0.545 │ 1 │ 0.545 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.279 │ │ │
│ Median │ 0.279 │ │ │
│ Total │ 0.559 │ │ │
│ Max │ 0.545 │ │ │
│ Min │ 0.014 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.190 │ 1 │ 0.190 │
│ 2 │ 0.101 │ 1 │ 0.101 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.145 │ │ │
│ Median │ 0.145 │ │ │
│ Total │ 0.291 │ │ │
│ Max │ 0.190 │ │ │
│ Min │ 0.101 │ │ │
└─────────┴─────────┴──────┴──────────────┘
2025-11-12 21:21:17 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): SOBOL, Started OmniOpt2 run...
2025-11-12 21:21:18 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): SOBOL, getting new HP set (no sbatch)
2025-11-12 21:21:18 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): SOBOL, requested 1 jobs, got 1, 0.01 s/job
2025-11-12 21:21:18 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): SOBOL, eval #1/1 start
2025-11-12 21:21:18 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): SOBOL, starting new job
2025-11-12 21:21:18 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): SOBOL, started new job
2025-11-12 21:21:27 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): SOBOL, new result: RESULT: -53115.207154
2025-11-12 21:21:29 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): SOBOL, best RESULT: -53115.2071541052, finishing jobs, finished 1 job
2025-11-12 21:21:29 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): BOTORCH_MODULAR, best RESULT: -53115.2071541052, getting new HP set (no sbatch)
2025-11-12 21:21:29 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): BOTORCH_MODULAR, best RESULT: -53115.2071541052, requested 1 jobs, got 1, 0.55 s/job
2025-11-12 21:21:29 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): BOTORCH_MODULAR, best RESULT: -53115.2071541052, eval #1/1 start
2025-11-12 21:21:29 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): BOTORCH_MODULAR, best RESULT: -53115.2071541052, starting new job
2025-11-12 21:21:30 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): BOTORCH_MODULAR, best RESULT: -53115.2071541052, started new job
2025-11-12 21:21:39 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): BOTORCH_MODULAR, best RESULT: -53115.2071541052, new result: RESULT: -108462.001336
2025-11-12 21:21:41 (13ccafe8-2ea4-48a0-9c7b-7908c933d46b): BOTORCH_MODULAR, best RESULT: -108462.001336414, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1762982474,801.2265625,27.1