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	int_param	float_param	int_param_two	choice_param	RESULT1
2.2653094183	-42	-62.825733721256256	8	hallo	1.2650778582

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

2026-07-16 08:12:22 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): BOTORCH_MODULAR, 2 done, █▁, finishing jobs, finished 1 job

Git-Version

Commit: 0d8f92c0197456bba561542bd8fca6f0d6f037d0 (9375-11-g0d8f92c01)

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
0,1784189507,2,3e084614-cfdf-40f7-95ea-7f30907cd6f0,1784189509,1784189521,12,./.tests/optimization_example  --int_param='-42' --float_param='-62.82573372125625610352' --choice_param='hallo' --int_param_two='8' --nr_results=2,0,,runnervm76tkm,0_0,COMPLETED,SOBOL,1.265077858199999960575610202795,2.265309418300000210422240343178,-42,-62.825733721256256103515625,8,hallo
1,1784189524,2,3e084614-cfdf-40f7-95ea-7f30907cd6f0,1784189526,1784189538,12,./.tests/optimization_example  --int_param='-51' --float_param='-5.73901043343814443176' --choice_param='4' --int_param_two='-98' --nr_results=2,0,,runnervm76tkm,1_0,COMPLETED,BOTORCH_MODULAR,1.333794332765140033814077469287,2.7121532750056500660207348119,-51,-5.739010433438144431761429586913,-98,4


========================================================================

Current git-hash: 0d8f92c0197456bba561542bd8fca6f0d6f037d0 (last fully tested stable version 11 commits ago [7ec7c180ddeb70e69ef837c896ebe061f7046be1, 9375])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-16 08:11:45] 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: 300e2884-a45c-4b77-b9ea-88c2be21ca0a
/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.")
  _________________________________________________
 /                                                 \
| OmniOpt2 - Fine-tuning on a quantum level – Schrö |
| dinger’s hyperparameter.                          |
 \                                                 /
  =================================================
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                                                                        __---__
                                                                     _-       /--______
                                                                __--( /     \ )XXXXXXXXXXX\v.
                                                              .-XXX(   O   O  )XXXXXXXXXXXXXXX-
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                                                          /XXXXX/ (      O     )   XXXXXX   \XXXXX\
                                                          XXXXX/   /            XXXXXX   \__ \XXXXX
                                                          XXXXXX__/          XXXXXX         \__---->
                                                  ---___  XXX__/          XXXXXX      \__         /
                                                    \-  --__/   ___/\  XXXXXX            /  ___--/=
                                                     \-\    ___/    XXXXXX              '--- XXXXXX
                                                        \-\/XXX\ XXXXXX                      /XXXXX
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                                                             \XXXXX--__/              __-- XXXX/
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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=88 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      │    -42    │ -62.825733721256256 │       8       │    hallo     │ 1.2650778582 │ 2.2653094183 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │   0.033 │    1 │        0.033 │
│         2 │   0.695 │    1 │        0.695 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.364 │      │              │
│    Median │   0.364 │      │              │
│     Total │   0.728 │      │              │
│       Max │   0.695 │      │              │
│       Min │   0.033 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.125 │    1 │        0.125 │
│       2 │   0.104 │    1 │        0.104 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.114 │      │              │
│  Median │   0.114 │      │              │
│   Total │   0.229 │      │              │
│     Max │   0.125 │      │              │
│     Min │   0.104 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│                                                                                                                                                                                                      │
│  ✅  Optimization complete!                                                                                                                                                                          │
│                                                                                                                                                                                                      │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                                                                                                                                          │
│    ⏱️  Duration: 45s                                                                                                                                                                                 │
│    🏆 Best RESULT1: 1.2650778582                                                                                                                                                                     │
│    🏆 Best RESULT2: 2.71215327500565                                                                                                                                                                 │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0/results.csv                                                                                                           │
│    🤖 Model: BOTORCH_MODULAR                                                                                                                                                                         │
│                                                                                                                                                                                                      │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-07-16 08:11:47 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): SOBOL, Started OmniOpt2 run...
2026-07-16 08:11:47 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): SOBOL, getting new HP set (no sbatch)
2026-07-16 08:11:47 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-07-16 08:11:47 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): SOBOL, eval #1/1 start                    
2026-07-16 08:11:47 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): SOBOL, starting new job                   
2026-07-16 08:11:47 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): SOBOL, started new job                    
2026-07-16 08:12:02 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): SOBOL, new result: RESULT1: 1.265078 (SEM: 0.133148), RESULT2: 2.265309 (SEM: 0.063556)
2026-07-16 08:12:03 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): SOBOL, 1 done, finishing jobs, finished 1 job                                          
2026-07-16 08:12:04 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)                                
2026-07-16 08:12:04 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.70 s/job                           
2026-07-16 08:12:04 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): BOTORCH_MODULAR, 1 done, eval #1/1 start                                               
2026-07-16 08:12:04 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): BOTORCH_MODULAR, 1 done, starting new job                                              
2026-07-16 08:12:04 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): BOTORCH_MODULAR, 1 done, started new job                                               
2026-07-16 08:12:19 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.333794 (SEM: 0.144535), RESULT2: 2.712153 (SEM: 0.147209)
2026-07-16 08:12:22 (3e084614-cfdf-40f7-95ea-7f30907cd6f0): BOTORCH_MODULAR, 2 done, █▁, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.125 │    1 │        0.125 │
│       2 │   0.104 │    1 │        0.104 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.114 │      │              │
│  Median │   0.114 │      │              │
│   Total │   0.229 │      │              │
│     Max │   0.125 │      │              │
│     Min │   0.104 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.033 │    1 │        0.033 │
│         2 │   0.695 │    1 │        0.695 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.364 │      │              │
│    Median │   0.364 │      │              │
│     Total │   0.728 │      │              │
│       Max │   0.695 │      │              │
│       Min │   0.033 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9p…
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
1784189505,753.41015625,28

! 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	1.2651	1.3338	1.2994	0.0344	2
RESULT2	2.2653	2.7122	2.4887	0.2234	2
int_param	-51	-42	-46.5	4.5	2
float_param	-62.8257	-5.739	-34.2824	28.5434	2
int_param_two	-98	8	-45	53	2
choice_param	No numerical statistics available

submitit INFO (2026-07-16 08:11:47,844) - Starting with JobEnvironment(job_id=78001, hostname=runnervm76tkm, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-07-16 08:11:47,844) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0/single_runs/78001/78001_submitted.pkl
Trial-Index: 0
Running 2 sub-evaluations for trial 0...

  Sub-eval 1/2 for trial 0: {'RESULT1': 1.13192956622607, 'RESULT2': 2.20175362224424}
OO-Info: int_param: -42
OO-Info: int_param_two: 8
OO-Info: float_param: -62.82573372125625610352
OO-Info: choice_param: hallo
RESULT1: 1.13192956622607
RESULT2: 2.20175362224424


  Sub-eval 2/2 for trial 0: {'RESULT1': 1.39822615015237, 'RESULT2': 2.32886521434145}
OO-Info: int_param: -42
OO-Info: int_param_two: 8
OO-Info: float_param: -62.82573372125625610352
OO-Info: choice_param: hallo
RESULT1: 1.39822615015237
RESULT2: 2.32886521434145

Aggregated result for trial 0: RESULT1: 1.265078 (SEM: 0.133148), RESULT2: 2.265309 (SEM: 0.063556)
submitit INFO (2026-07-16 08:12:01,596) - Job completed successfully
submitit INFO (2026-07-16 08:12:01,596) - Exiting after successful completion