OmniOpt2

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	RESULT3	RESULT4	x	y	z	a	RESUL…
2.1360…	3.0684…	4.7506…	-834.7…	-937.6…	572.75…	-952.7…	1.323…

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	1	1

Experiment parameters

Name	Type	Lower bound	Upper bound	Type	Log Scale?
x	range	-1000	1000	float	No
y	range	-1000	1000	float	No
z	range	-1000	1000	float	No
a	range	-1000	1000	float	No

Number of evaluations

Failed	Succeeded	Running	Total
0	2	0	2

Result names and types

name	min/max
RESULT1	min
RESULT2	max
RESULT3	min
RESULT4	max

Last progressbar status

2026-10-27 20:00:33 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job

Git-Version

Commit: 35f425052abf9e9cab3e229e9e3f339ae0021770 (10053-3-g35f425052)

Run-UUID: 6752e195-065f-471e-a574-1d89551566e3
  _________________________________________________
 /                                                 \
| OmniOpt2 - Grid search? Please, I’m doing ballet  |
| through parameter space.                          |
 \                                                 /
  =================================================
                                                   \
                                                    \
                                                     \
                                                      \
                                                                            / \\  //\\
                                                             |\\___/|      /   \\//  \\\\
                                                             /0  0  \\__  /    //  | \\ \\
                                                            /     /  \\/_/    //   |  \\  \\
                                                            \@_^_\@'/   \\/_   //    |   \\   \\
                                                            //_^_/     \\/_ //     |    \\    \\
                                                         ( //) |        \\///      |     \\     \\
                                                       ( / /) _|_ /   )  //       |      \\     _\\
                                                     ( // /) '/,_ _ _/  ( ; -.    |    _ _\\.-~        .-~~~^-.
                                                   (( / / )) ,-{        _      `-.|.-~-.           .~         `.
                                                  (( // / ))  '/\\      /                 ~-. _ .-~      .-~^-.  \\
                                                  (( /// ))      `.   {            }                   /      \\  \\
                                                   (( / ))     .----~-.\\        \\-'                 .~         \\  `. \\^-.
                                                              ///.----..>        \\             _ -~             `.  ^-`  ^-_
                                                                ///-._ _ _ _ _ _ _}^ - - - - ~                     ~-- ,.-~
                                                                                                                   /.-~
./omniopt --partition alpha --experiment_name=example_all_float --mem_gb=4 --time 60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --num_random_steps 1 --send_anonymized_usage_stats --run_program LnRlc3RzL29wdGltaXphdGlvbl9leGFtcGxlX2FsbF9mbG9hdCAgLS14PSUoeCkgLS15PSUoeSkgLS16PSUoeikgLS1hPSUoYSkgLS1ucl9yZXN1bHRzPTQ= --cpus_per_task=1 --nodes_per_job=1 --model=BOTORCH_MODULAR --run_mode=local --parameter x range -1000 1000 float --parameter y range -1000 1000 float --parameter z range -1000 1000 float --parameter a range -1000 1000 float --live_share --result_names RESULT1=min RESULT2=max RESULT3=min RESULT4=max --generate_all_jobs_at_once --follow --show_generate_time_table
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/example_all_float/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=example_all_float&run_nr=175 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_all_float  --x=%(x) --y=%(y) --z=%(z) --a=%(a) --nr_results=4
Experiment parameters
┏━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type  ┃ Lower bound ┃ Upper bound ┃ Type  ┃ Log Scale? ┃
┡━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ x    │ range │ -1000       │ 1000        │ float │ No         │
│ y    │ range │ -1000       │ 1000        │ float │ No         │
│ z    │ range │ -1000       │ 1000        │ float │ No         │
│ a    │ range │ -1000       │ 1000        │ float │ No         │
└──────┴───────┴─────────────┴─────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1     │         min │
│ RESULT2     │         min │
│ RESULT3     │         min │
│ RESULT4     │         min │
└─────────────┴─────────────┘
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┓
┃ trial… ┃   x    ┃   y    ┃   z    ┃   a    ┃ RESU… ┃ RESUL… ┃ RESU… ┃ RESUL… ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━┩
│   0    │ 679.0… │ 782.1… │ -384.… │ 402.8… │ 1.85… │ 2.050… │ 3.97… │ 4.842… │
├────────┼────────┼────────┼────────┼────────┼───────┼────────┼───────┼────────┤
│   1    │ -834.… │ -937.… │ 572.7… │ -952.… │ 1.32… │ 2.136… │ 3.06… │ 4.750… │
└────────┴────────┴────────┴────────┴────────┴───────┴────────┴───────┴────────┘
Pareto-Front for RESULT1/RESULT3:
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┓
┃ trial… ┃   x    ┃   y    ┃   z    ┃   a    ┃ RESU… ┃ RESUL… ┃ RESU… ┃ RESUL… ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━┩
│   1    │ -834.… │ -937.… │ 572.7… │ -952.… │ 1.32… │ 2.136… │ 3.06… │ 4.750… │
└────────┴────────┴────────┴────────┴────────┴───────┴────────┴───────┴────────┘
Pareto-Front for RESULT1/RESULT4:
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┓
┃ trial… ┃   x    ┃   y    ┃   z    ┃   a    ┃ RESU… ┃ RESUL… ┃ RESU… ┃ RESUL… ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━┩
│   1    │ -834.… │ -937.… │ 572.7… │ -952.… │ 1.32… │ 2.136… │ 3.06… │ 4.750… │
└────────┴────────┴────────┴────────┴────────┴───────┴────────┴───────┴────────┘
Pareto-Front for RESULT2/RESULT3:
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┓
┃ trial… ┃   x    ┃   y    ┃   z    ┃   a    ┃ RESU… ┃ RESUL… ┃ RESU… ┃ RESUL… ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━┩
│   0    │ 679.0… │ 782.1… │ -384.… │ 402.8… │ 1.85… │ 2.050… │ 3.97… │ 4.842… │
├────────┼────────┼────────┼────────┼────────┼───────┼────────┼───────┼────────┤
│   1    │ -834.… │ -937.… │ 572.7… │ -952.… │ 1.32… │ 2.136… │ 3.06… │ 4.750… │
└────────┴────────┴────────┴────────┴────────┴───────┴────────┴───────┴────────┘
Pareto-Front for RESULT2/RESULT4:
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┓
┃ trial… ┃   x    ┃   y    ┃   z    ┃   a    ┃ RESU… ┃ RESUL… ┃ RESU… ┃ RESUL… ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━┩
│   0    │ 679.0… │ 782.1… │ -384.… │ 402.8… │ 1.85… │ 2.050… │ 3.97… │ 4.842… │
├────────┼────────┼────────┼────────┼────────┼───────┼────────┼───────┼────────┤
│   1    │ -834.… │ -937.… │ 572.7… │ -952.… │ 1.32… │ 2.136… │ 3.06… │ 4.750… │
└────────┴────────┴────────┴────────┴────────┴───────┴────────┴───────┴────────┘
Pareto-Front for RESULT3/RESULT4:
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┓
┃ trial… ┃   x    ┃   y    ┃   z    ┃   a    ┃ RESU… ┃ RESUL… ┃ RESU… ┃ RESUL… ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━┩
│   1    │ -834.… │ -937.… │ 572.7… │ -952.… │ 1.32… │ 2.136… │ 3.06… │ 4.750… │
└────────┴────────┴────────┴────────┴────────┴───────┴────────┴───────┴────────┘
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
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           │ 6.00 sec  │ 6.00 sec  │   6.00 sec   │  6.00 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.017 │    1 │        0.017 │
│         2 │   0.479 │    1 │        0.479 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.248 │      │              │
│    Median │   0.248 │      │              │
│     Total │   0.496 │      │              │
│       Max │   0.479 │      │              │
│       Min │   0.017 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.085 │    1 │        0.085 │
│       2 │   0.085 │    1 │        0.085 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.085 │      │              │
│  Median │   0.085 │      │              │
│   Total │   0.170 │      │              │
│     Max │   0.085 │      │              │
│     Min │   0.085 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭──────────────────────────── OmniOpt2 Run Summary ────────────────────────────╮
│                                                                              │
│  ✅  Optimization complete!                                                  │
│                                                                              │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                  │
│    ⏱️  Duration: 29s                                                         │
│    🏆 Best RESULT1: 1.3230687478567051                                       │
│    🏆 Best RESULT2: 2.136046770292948                                        │
│    🏆 Best RESULT3: 3.0684538979217946                                       │
│    🏆 Best RESULT4: 4.8429402934                                             │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/example_all_float/0/r  │
│    🤖 Model: BOTORCH_MODULAR                                                 │
│                                                                              │
╰──────────────────────────────────────────────────────────────────────────────╯

2026-10-27 20:00:12 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): SOBOL, Started OmniOpt2 run...
2026-10-27 20:00:12 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): SOBOL, getting new HP set (no sbatch)
2026-10-27 20:00:12 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2026-10-27 20:00:12 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): SOBOL, eval #1/1 start                    
2026-10-27 20:00:12 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): SOBOL, starting new job                   
2026-10-27 20:00:12 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): SOBOL, started new job                    
2026-10-27 20:00:21 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): SOBOL, new result: RESULT1: 1.857235, RESULT2: 2.050295, RESULT3: 3.976533, RESULT4: 4.842940
2026-10-27 20:00:22 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): SOBOL, 1 done, finishing jobs, finished 1 job                                                
2026-10-27 20:00:22 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)                                      
2026-10-27 20:00:22 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.48 s/job                                 
2026-10-27 20:00:22 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): BOTORCH_MODULAR, 1 done, eval #1/1 start                                                     
2026-10-27 20:00:22 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): BOTORCH_MODULAR, 1 done, starting new job                                                    
2026-10-27 20:00:22 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): BOTORCH_MODULAR, 1 done, started new job                                                     
2026-10-27 20:00:31 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.323069, RESULT2: 2.136047, RESULT3: 3.068454, RESULT4: 4.750632
2026-10-27 20:00:33 (cb58b04e-0f68-45fb-9a2a-b42ff0ccd3c2): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.085 │    1 │        0.085 │
│       2 │   0.085 │    1 │        0.085 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.085 │      │              │
│  Median │   0.085 │      │              │
│   Total │   0.170 │      │              │
│     Max │   0.085 │      │              │
│     Min │   0.085 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.017 │    1 │        0.017 │
│         2 │   0.479 │    1 │        0.479 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.248 │      │              │
│    Median │   0.248 │      │              │
│     Total │   0.496 │      │              │
│       Max │   0.479 │      │              │
│       Min │   0.017 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['LnRlc3RzL29wdGltaXphdGlvbl9leGFt…
experiment_name	example_all_float
mem_gb	4
parameter	[['x', 'range', '-1000', '1000',
	'float'], ['y', 'range', '-1000',
	'1000', 'float'], ['z', 'range',
	'-1000', '1000', 'float'], ['a',
	'range', '-1000', '1000', 'float']]
continue_previous_job	None
experiment_constraints	None
run_dir	runs
modules
venv
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
wait_until_ended	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
local_cpu_monitor	False
disable_previous_job_constraint	False
workdir
occ_type	euclid
result_names	['RESULT1=min', 'RESULT2=max',
	'RESULT3=min', 'RESULT4=max']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	True
revert_to_random_when_seemingly_exha…	False
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
max_attempts_for_generation	20
external_generator	None
optuna_sampler	None
optuna_pruner	none
optuna_n_startup_trials	10
optuna_multivariate	False
optuna_group	False
optuna_constraints	False
optuna_n_ei_candidates	0
optuna_storage	None
optuna_study_name	omniopt_study
optuna_no_load_if_exists	False
optuna_extra_iters	1
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
dump_config	None
formula	None
formula_mode	auto
formula_python_path	/home/runner/.omniax_venvs/Python_3…
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	False
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
1793131210,797.14453125,29.7

! 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
RESULT1	1.3231	1.8572	1.5902	0.2671	2
RESULT2	2.0503	2.136	2.0932	0.0429	2
RESULT3	3.0685	3.9765	3.5225	0.454	2
RESULT4	4.7506	4.8429	4.7968	0.0462	2
x	-834.7286	679.0818	-77.8234	756.9052	2
y	-937.6301	782.1358	-77.7471	859.883	2
z	-384.3527	572.7574	94.2023	478.5551	2
a	-952.7416	402.8445	-274.9485	677.7931	2