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 RESULT1, min (total: 2) RESULT2 int_param float_param int_param_two choice_param RESULT1 2.522020870677325 -98 7.079951577235952 -37 16 1.467222577500255
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
name min/max
RESULT1
min
RESULT2
max
Last progressbar status
2026-08-02 06:10:37 (7aae8376-fe97-426a-bddc-0f0137185e9f): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job Git-Version
Commit: 994947df0c9dd58e83a3d3605f909757dcb65b59 (9418-2-g994947df0)
trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,arm_name,trial_status,generation_node,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,1785651004,2,7aae8376-fe97-426a-bddc-0f0137185e9f,1785651006,1785651018,12,./.tests/optimization_example --int_param='-9' --float_param='-89.07293692231178283691' --choice_param='8' --int_param_two='-5' --nr_results=2,0,,runnervmliwqe,0_0,COMPLETED,SOBOL,1.986495454299999963154732540715,2.410390528100000206990216611302,-9,-89.0729369223117828369140625,-5,8
1,1785651020,2,7aae8376-fe97-426a-bddc-0f0137185e9f,1785651022,1785651034,12,./.tests/optimization_example --int_param='-98' --float_param='7.07995157723595180954' --choice_param='16' --int_param_two='-37' --nr_results=2,0,,runnervmliwqe,1_0,COMPLETED,BOTORCH_MODULAR,1.467222577500254976357041414303,2.522020870677324833053489783197,-98,7.079951577235951809541347756749,-37,16
========================================================================
Current git-hash: 994947df0c9dd58e83a3d3605f909757dcb65b59 (last fully tested stable version 2 commits ago [b54799bbb6092ee7a47e6c8cafaff1661ff693b6, 9418])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 08-02 06:10:02] 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]`.
Run-UUID: 9bc0d822-6a4c-4fc6-bb63-d1a1cfd7e7be
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/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)
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
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omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=multiple_evals_per_arm --mem_gb=4 --time=1200 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0y --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 --result_names RESULT1=min RESULT2=max --generate_all_jobs_at_once --revert_to_random_when_seemingly_exhausted --nr_evals_per_arm=2 --beartype --show_generate_time_table --disable_notifications
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/ 0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multiple_evals_per_arm&run_nr=33 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=2
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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1 │ min │
│ RESULT2 │ max │
└─────────────┴─────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT2.
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ 0 │ -9 │ -89.07293692231178 │ -5 │ 8 │ 1.9864954543 │ 2.4103905281 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼───────────────────┼───────────────────┤
│ 1 │ -98 │ 7.079951577235952 │ -37 │ 16 │ 1.467222577500255 │ 2.522020870677325 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┴───────────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Not printing sixel graphics in CI
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time ┃ Max time ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ 12.00 sec │ 12.00 sec │ 12.00 sec │ 12.00 sec │
└───────────────────────┴────────────┴────────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.027 │ 1 │ 0.027 │
│ 2 │ 0.506 │ 1 │ 0.506 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.267 │ │ │
│ Median │ 0.267 │ │ │
│ Total │ 0.533 │ │ │
│ Max │ 0.506 │ │ │
│ Min │ 0.027 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.100 │ 1 │ 0.100 │
│ 2 │ 0.086 │ 1 │ 0.086 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.093 │ │ │
│ Median │ 0.093 │ │ │
│ Total │ 0.186 │ │ │
│ Max │ 0.100 │ │ │
│ Min │ 0.086 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭─ ────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────── ─╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted │
│ ⏱️ Duration: 42s │
│ 🏆 Best RESULT1: 1.467222577500255 │
│ 🏆 Best RESULT2: 2.522020870677325 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-08-02 06:10:04 (7aae8376-fe97-426a-bddc-0f0137185e9f): SOBOL, Started OmniOpt2 run...
2026-08-02 06:10:04 (7aae8376-fe97-426a-bddc-0f0137185e9f): SOBOL, getting new HP set (no sbatch)
2026-08-02 06:10:04 (7aae8376-fe97-426a-bddc-0f0137185e9f): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-08-02 06:10:04 (7aae8376-fe97-426a-bddc-0f0137185e9f): SOBOL, eval #1/1 start
2026-08-02 06:10:04 (7aae8376-fe97-426a-bddc-0f0137185e9f): SOBOL, starting new job
2026-08-02 06:10:04 (7aae8376-fe97-426a-bddc-0f0137185e9f): SOBOL, started new job
2026-08-02 06:10:18 (7aae8376-fe97-426a-bddc-0f0137185e9f): SOBOL, new result: RESULT1: 1.986495 (SEM: 0.008279), RESULT2: 2.410391 (SEM: 0.028739)
2026-08-02 06:10:20 (7aae8376-fe97-426a-bddc-0f0137185e9f): SOBOL, 1 done, finishing jobs, finished 1 job
2026-08-02 06:10:20 (7aae8376-fe97-426a-bddc-0f0137185e9f): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-08-02 06:10:20 (7aae8376-fe97-426a-bddc-0f0137185e9f): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.51 s/job
2026-08-02 06:10:20 (7aae8376-fe97-426a-bddc-0f0137185e9f): BOTORCH_MODULAR, 1 done, eval #1/1 start
2026-08-02 06:10:20 (7aae8376-fe97-426a-bddc-0f0137185e9f): BOTORCH_MODULAR, 1 done, starting new job
2026-08-02 06:10:20 (7aae8376-fe97-426a-bddc-0f0137185e9f): BOTORCH_MODULAR, 1 done, started new job
2026-08-02 06:10:34 (7aae8376-fe97-426a-bddc-0f0137185e9f): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.467223 (SEM: 0.220683), RESULT2: 2.522021 (SEM: 0.111204)
2026-08-02 06:10:37 (7aae8376-fe97-426a-bddc-0f0137185e9f): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.100 │ 1 │ 0.100 │
│ 2 │ 0.086 │ 1 │ 0.086 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.093 │ │ │
│ Median │ 0.093 │ │ │
│ Total │ 0.186 │ │ │
│ Max │ 0.100 │ │ │
│ Min │ 0.086 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.027 │ 1 │ 0.027 │
│ 2 │ 0.506 │ 1 │ 0.506 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.267 │ │ │
│ Median │ 0.267 │ │ │
│ Total │ 0.533 │ │ │
│ Max │ 0.506 │ │ │
│ Min │ 0.027 │ │ │
└───────────┴─────────┴──────┴──────────────┘
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 multiple_evals_per_arm 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 False send_anonymized_usage_stats True ui_url None root_venv_dir /home/runner 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 ['RESULT1=min', 'RESULT2=max'] minkowski_p 2 signed_weighted_euclidean_weights generation_strategy None generate_all_jobs_at_once True revert_to_random_when_seemingly_exhausted True 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 2 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 1200 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 True
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1785651002,753.546875,29.2
! 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 12 12 12 0 2 RESULT1 1.4672 1.9865 1.7269 0.2596 2 RESULT2 2.4104 2.522 2.4662 0.0558 2 int_param -98 -9 -53.5 44.5 2 float_param -89.0729 7.08 -40.9965 48.0764 2 int_param_two -37 -5 -21 16 2 choice_param 8 16 12 4 2
0 (14s, RESULT1: 1.99477487064815, RESULT2: 2.43912906697685)
1 (14s, RESULT1: 1.68790546812034, RESULT2: 2.63322460404331)
submitit INFO (2026-08-02 06:10:04,972 ) - Starting with JobEnvironment(job_id=77507, hostname=runnervmliwqe, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-08-02 06:10:04,972 ) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0/single_runs/77507/77507_submitted.pkl
Trial-Index: 0
Running 2 sub-evaluations for trial 0...
Sub-eval 1/2 for trial 0: {'RESULT1': 1.97821603792636, 'RESULT2': 2.38165198927479}
OO-Info: int_param: -9
OO-Info: int_param_two: -5
OO-Info: float_param: -89.07293692231178283691
OO-Info: choice_param: 8
RESULT1: 1.97821603792636
RESULT2: 2.38165198927479
Sub-eval 2/2 for trial 0: {'RESULT1': 1.99477487064815, 'RESULT2': 2.43912906697685}
OO-Info: int_param: -9
OO-Info: int_param_two: -5
OO-Info: float_param: -89.07293692231178283691
OO-Info: choice_param: 8
RESULT1: 1.99477487064815
RESULT2: 2.43912906697685
Aggregated result for trial 0: RESULT1: 1.986495 (SEM: 0.008279), RESULT2: 2.410391 (SEM: 0.028739)
submitit INFO (2026-08-02 06:10:18,297 ) - Job completed successfully
submitit INFO (2026-08-02 06:10:18,297 ) - Exiting after successful completion
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