Experiment overview Setting Value Model for non-random steps BOTORCH_MODULAR Max. nr. evaluations 2 Number random steps 1 Nr. of workers (parameter) 1
Best RESULT, min (total: 2) OO_Info_int_pa… OO_Info_int_pa… OO_Info_float_… OO_Info_choic… int_param float_param int_param_two choice_param RESULT -88 -16 -88.3891279566… 8 -88 -88.3891279566… -16 8 -178479.41220…
Job Summary per Generation Node
Generation Node Total COMPLETED
SOBOL 1 1 BOTORCH_MODULAR 1 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
Number of evaluations
Failed
Succeeded
Running
Total
0
2
0
2
Result names and types
Last progressbar status
2026-08-09 20:21:32 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -178479.412204996, ▁█, finishing jobs, finished 1 job Git-Version
Commit: 75fb0beff736f58928627480ad8135357bb70044 (9418-7-g75fb0beff)
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
0,1786306870,2,0e7d9394-6b1f-4cc4-91a8-e46e321628c3,1786306872,1786306878,6,./.tests/optimization_example --int_param='-11' --float_param='-17.65161931514739990234' --choice_param='16' --int_param_two='-58' --nr_results=1,0,,2269d33abd3c,-11,-58,-17.65161931514739990234375,16,0_0,COMPLETED,SOBOL,-48343.878575983602786436676979064941,-11,-17.65161931514739990234375,-58,16
1,1786306881,2,0e7d9394-6b1f-4cc4-91a8-e46e321628c3,1786306883,1786306889,6,./.tests/optimization_example --int_param='-88' --float_param='-88.38912795662906773941' --choice_param='8' --int_param_two='-16' --nr_results=1,0,,2269d33abd3c,-88,-16,-88.389127956629053528558870311826,8,1_0,COMPLETED,BOTORCH_MODULAR,-178479.41220499601331539452075958252,-88,-88.38912795662906773941358551383,-16,8
========================================================================
Current git-hash: 75fb0beff736f58928627480ad8135357bb70044 (last fully tested stable version 7 commits ago [b54799bbb6092ee7a47e6c8cafaff1661ff693b6, 9418])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ Loading base modules...
⠋ Loading rich UI components...
⠋ Loading type and utility modules...
⠋ Loading optional modules...
⠙ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Loading ML frameworks...
[INFO 08-09 20:21:08] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
⠧ Loading Ax platform...
⠋ Loading Ax storage and data...
⠋ Loading data science stack...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Run-UUID: de115c34-9467-40b5-a83e-7a05c3cf1256
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
____________________________________________
| OmniOpt2 - Hyperparameter alchemy in action! |
============================================
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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 --disable_notifications
⠋ 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=34 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: -178479.412204996, ▁█, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:21<00:00, 10.88s/it]
Best RESULT, min (total: 2)
┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_pa… ┃ OO_Info_int_pa… ┃ OO_Info_float_… ┃ OO_Info_choic… ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
│ -88 │ -16 │ -88.3891279566… │ 8 │ -88 │ -88.3891279566… │ -16 │ 8 │ -178479.41220… │
└─────────────────┴─────────────────┴─────────────────┴────────────────┴───────────┴─────────────────┴───────────────┴──────────────┴────────────────┘
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 │ 0.035 │ 1 │ 0.035 │
│ 2 │ 0.357 │ 1 │ 0.357 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.196 │ │ │
│ Median │ 0.196 │ │ │
│ Total │ 0.392 │ │ │
│ Max │ 0.357 │ │ │
│ Min │ 0.035 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.208 │ 1 │ 0.208 │
│ 2 │ 0.078 │ 1 │ 0.078 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.143 │ │ │
│ Median │ 0.143 │ │ │
│ Total │ 0.286 │ │ │
│ Max │ 0.208 │ │ │
│ Min │ 0.078 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭─ ────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────── ─╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted │
│ ⏱️ Duration: 32s │
│ 🏆 Best RESULT: -178479.412204996 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, Started OmniOpt2 run...
2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, getting new HP set (no sbatch)
2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, eval #1/1 start
2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, starting new job
2026-08-09 20:21:11 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, started new job
2026-08-09 20:21:20 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, new result: RESULT: -48343.878576
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, best RESULT: -48343.8785759836, finishing jobs, finished 1 job
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, getting new HP set (no sbatch)
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, requested 1 jobs, got 1, 0.36 s/job
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, eval #1/1 start
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, starting new job
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, started new job
2026-08-09 20:21:30 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, new result: RESULT: -178479.412205
2026-08-09 20:21:32 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -178479.412204996, ▁█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.208 │ 1 │ 0.208 │
│ 2 │ 0.078 │ 1 │ 0.078 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.143 │ │ │
│ Median │ 0.143 │ │ │
│ Total │ 0.286 │ │ │
│ Max │ 0.208 │ │ │
│ Min │ 0.078 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.035 │ 1 │ 0.035 │
│ 2 │ 0.357 │ 1 │ 0.357 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.196 │ │ │
│ Median │ 0.196 │ │ │
│ Total │ 0.392 │ │ │
│ Max │ 0.357 │ │ │
│ Min │ 0.035 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Arguments Overview Key Value config_yaml None config_toml None config_json None num_random_steps 1 max_eval 2 run_program [['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09Jy… experiment_name __main__tests__BOTORCH_MODULAR___nogridsearch mem_gb 4 parameter [['int_param', 'range', '-100', '10', 'int'], ['float_param', 'range', '-100', '10', 'float'], ['choice_param', 'choice', '1,2,4,8,16,hallo'], ['int_param_two', 'range', '-100', '10', 'int']] continue_previous_job None experiment_constraints None run_dir runs seed None verbose_tqdm False model BOTORCH_MODULAR gridsearch False occ False show_sixel_scatter False show_sixel_general False show_sixel_trial_index_result False follow True send_anonymized_usage_stats True ui_url None root_venv_dir /root exclude None main_process_gb 8 max_nr_of_zero_results 10 abbreviate_job_names False orchestrator_file None checkout_to_latest_tested_version False live_share True disable_tqdm False disable_previous_job_constraint False workdir occ_type euclid result_names ['RESULT=min'] minkowski_p 2 signed_weighted_euclidean_weights generation_strategy None generate_all_jobs_at_once True revert_to_random_when_seemingly_exhausted False load_data_from_existing_jobs [] n_estimators_randomforest 100 max_attempts_for_generation 20 external_generator None username None max_failed_jobs None num_cpus_main_job None calculate_pareto_front_of_job [] show_generate_time_table True force_choice_for_ranges False max_abandoned_retrial 20 share_password None dryrun False db_url None run_program_once None worker_generator_path None save_to_database False range_max_difference 1000000 skip_search False nr_evals_per_arm 1 disable_notifications True dump_config None dont_warm_start_refitting False refit_on_cv False fit_out_of_design False fit_abandoned False dont_jit_compile False num_restarts 20 raw_samples 1024 max_num_of_parallel_sruns 16 no_transform_inputs False no_normalize_y False transforms [] number_of_generators 1 num_parallel_jobs 1 worker_timeout 5 slurm_use_srun False time 60 partition alpha reservation None force_local_execution False slurm_signal_delay_s 0 nodes_per_job 1 cpus_per_task 1 account None gpus 0 dependency None run_mode local verbose False verbose_break_run_search_table False debug False flame_graph False memray False no_sleep False tests False show_worker_percentage_table_at_end False auto_exclude_defective_hosts True run_tests_that_fail_on_taurus False raise_in_eval False show_ram_every_n_seconds 0 show_generation_and_submission_sixel False just_return_defaults False prettyprint False runtime_debug False debug_stack_regex debug_stack_trace_regex None show_func_name False beartype False
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1786306868,776.3984375,28.1
! No notable correlations between parameters were found (threshold: |r| > 0.3).Top-5 Best Results Parameter Sensitivity Ranking Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.
Parameter statistics Parameter Min Max Mean Std Dev Count run_time 6 6 6 0 2 OO_Info_int_param -88 -11 -49.5 38.5 2 OO_Info_int_param_two -58 -16 -37 21 2 OO_Info_float_param -88.3891 -17.6516 -53.0204 35.3688 2 OO_Info_choice_param 8 16 12 4 2 RESULT -178479.4122 -48343.8786 -113411.6454 65067.7668 2 int_param -88 -11 -49.5 38.5 2 float_param -88.3891 -17.6516 -53.0204 35.3688 2 int_param_two -58 -16 -37 21 2 choice_param 8 16 12 4 2
1 (7s, RESULT: -178479.412204996)
0 (7s, RESULT: -48343.8785759836)
submitit INFO (2026-08-09 20:21:22,142 ) - Starting with JobEnvironment(job_id=1045, hostname=2269d33abd3c, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-08-09 20:21:22,142 ) - Loading pickle: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/single_runs/1045/1045_submitted.pkl
Trial-Index: 1
Parameters: {"int_param": -88, "float_param": -88.38912795662907, "int_param_two": -16, "choice_param": 8}
Debug-Infos:
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example --int_param='-88' --float_param='-88.38912795662906773941' --choice_param='8' --int_param_two='-16' --nr_results=1
pwd: /var/opt/omniopt
File: ./.tests/optimization_example
UID: 0
GID: 0
Status-Change-Time: 1786306820.9432936
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: root
Last access: 1786306516.0965648
Last modification: 1786306516.0965648
Hostname: 2269d33abd3c
========
DEBUG INFOS END
./.tests/optimization_example --int_param='-88' --float_param='-88.38912795662906773941' --choice_param='8' --int_param_two='-16' --nr_results=1
stdout:
OO-Info: int_param: -88
OO-Info: int_param_two: -16
OO-Info: float_param: -88.38912795662906773941
OO-Info: choice_param: 8
RESULT: -178479.412204996
stderr was empty
Result: {'RESULT': -178479.412204996}
Final-results: {'RESULT': -178479.412204996}
EXIT_CODE: 0
submitit INFO (2026-08-09 20:21:29,651 ) - Job completed successfully
submitit INFO (2026-08-09 20:21:29,652 ) - Exiting after successful completion
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