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)

OO_Info_int_param	OO_Info_int_param_two	OO_Info_float_param	OO_Info_choice_param	RESULT2	int_param	float_param	int_param_two	choice_param	RESULT1
1	-34	-95.02504080533981	8	2.41356554869296	1	-95.02504080533981	-34	8	1.1476969964142

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	min

Last progressbar status

2026-05-10 01:15:08 (eaaa3668-c983-4499-8f0f-7ecb34413732): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job

Git-Version

Commit: 01b08d618b49d942e55420979b7925f87f54957e (9305-14-g01b08d618)

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,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,1778375687,1,eaaa3668-c983-4499-8f0f-7ecb34413732,1778375688,1778375694,6,./.tests/optimization_example --int_param='-97' --float_param='-42.36046671867370605469' --choice_param='hallo'  --int_param_two='-99' --nr_results=2,0,,runnervmrc6n4,-97,-99,-42.3604667186737060546875,hallo,0_0,COMPLETED,SOBOL,1.853679127599999976183653416228,2.362483954800000063301013142336,-97,-42.3604667186737060546875,-99,hallo
1,1778375697,1,eaaa3668-c983-4499-8f0f-7ecb34413732,1778375698,1778375704,6,./.tests/optimization_example --int_param='1' --float_param='-95.02504080533981323242' --choice_param='8'  --int_param_two='-34' --nr_results=2,0,,runnervmrc6n4,1,-34,-95.025040805339813232421875,8,1_0,COMPLETED,BOTORCH_MODULAR,1.147696996414200087954782247834,2.413565548692960138765783995041,1,-95.025040805339813232421875,-34,8


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

Current git-hash: 01b08d618b49d942e55420979b7925f87f54957e (last fully tested stable version 14 commits ago [5268678be516a64d8bfe1ff0d3bbd05a6f0bcdd2, 9305])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-10 01:14:44] 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: 139ab100-3cfc-4bf4-8aa4-cac89c840cbf
/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 - Optimizing parameters with the flair o |
| f a magician pulling rabbits out of hats.         |
 \                                                 /
  =================================================
                                                  \
                                                   \
                                                    \
                                                     |\_/|,,_____,~~`
                                                     (.".)~~     )`~}}
                                                      \o/\ /---~\\ ~}}
                                                        _//    _// ~}
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=multi_results_2_results_BOTORCH_MODULAR --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2ljZV9wYXJhbSknICAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0yCg== --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 --follow --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --result_names RESULT1=min RESULT2=min --model=BOTORCH_MODULAR --generate_all_jobs_at_once
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=133 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     │         min │
└─────────────┴─────────────┘
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      │    -97    │ -42.360466718673706 │      -99      │    hallo     │  1.8536791276   │   2.3624839548   │
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼─────────────────┼──────────────────┤
│      1      │     1     │ -95.02504080533981  │      -34      │      8       │ 1.1476969964142 │ 2.41356554869296 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴─────────────────┴──────────────────┘
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           │ 6.00 sec  │ 6.00 sec  │   6.00 sec   │  6.00 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│                                                                                                                                                                                                      │
│  ✅  Optimization complete!                                                                                                                                                                          │
│                                                                                                                                                                                                      │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                                                                                                                                          │
│    ⏱️  Duration: 30s                                                                                                                                                                                 │
│    🏆 Best RESULT1: 1.1476969964142                                                                                                                                                                  │
│    🏆 Best RESULT2: 2.3624839548                                                                                                                                                                     │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/0/results.csv                                                                                          │
│    🧠 Model: BOTORCH_MODULAR                                                                                                                                                                         │
│                                                                                                                                                                                                      │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-05-10 01:14:47 (eaaa3668-c983-4499-8f0f-7ecb34413732): SOBOL, Started OmniOpt2 run...
2026-05-10 01:14:47 (eaaa3668-c983-4499-8f0f-7ecb34413732): SOBOL, getting new HP set (no sbatch)
2026-05-10 01:14:47 (eaaa3668-c983-4499-8f0f-7ecb34413732): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2026-05-10 01:14:47 (eaaa3668-c983-4499-8f0f-7ecb34413732): SOBOL, eval #1/1 start                    
2026-05-10 01:14:47 (eaaa3668-c983-4499-8f0f-7ecb34413732): SOBOL, starting new job                   
2026-05-10 01:14:47 (eaaa3668-c983-4499-8f0f-7ecb34413732): SOBOL, started new job                    
2026-05-10 01:14:55 (eaaa3668-c983-4499-8f0f-7ecb34413732): SOBOL, new result: RESULT1: 1.853679, RESULT2: 2.362484
2026-05-10 01:14:56 (eaaa3668-c983-4499-8f0f-7ecb34413732): SOBOL, 1 done, finishing jobs, finished 1 job          
2026-05-10 01:14:57 (eaaa3668-c983-4499-8f0f-7ecb34413732): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-05-10 01:14:57 (eaaa3668-c983-4499-8f0f-7ecb34413732): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.46 s/job
2026-05-10 01:14:57 (eaaa3668-c983-4499-8f0f-7ecb34413732): BOTORCH_MODULAR, 1 done, eval #1/1 start                    
2026-05-10 01:14:57 (eaaa3668-c983-4499-8f0f-7ecb34413732): BOTORCH_MODULAR, 1 done, starting new job                   
2026-05-10 01:14:57 (eaaa3668-c983-4499-8f0f-7ecb34413732): BOTORCH_MODULAR, 1 done, started new job                    
2026-05-10 01:15:05 (eaaa3668-c983-4499-8f0f-7ecb34413732): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.147697, RESULT2: 2.413566
2026-05-10 01:15:08 (eaaa3668-c983-4499-8f0f-7ecb34413732): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.093 │    1 │        0.093 │
│       2 │   0.263 │    1 │        0.263 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.178 │      │              │
│  Median │   0.178 │      │              │
│   Total │   0.356 │      │              │
│     Max │   0.263 │      │              │
│     Min │   0.093 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.024 │    1 │        0.024 │
│         2 │   0.462 │    1 │        0.462 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.243 │      │              │
│    Median │   0.243 │      │              │
│     Total │   0.486 │      │              │
│       Max │   0.462 │      │              │
│       Min │   0.024 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2lj…
experiment_name	multi_results_2_results_BOTORCH_MODULAR
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	/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=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	False
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	False
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
1778375685,742.03125,28.9

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-97	1	-48	49	2
OO_Info_int_param_two	-99	-34	-66.5	32.5	2
OO_Info_float_param	-95.025	-42.3605	-68.6928	26.3323	2
OO_Info_choice_param	No numerical statistics available
RESULT1	1.1477	1.8537	1.5007	0.353	2
RESULT2	2.3625	2.4136	2.388	0.0255	2
int_param	-97	1	-48	49	2
float_param	-95.025	-42.3605	-68.6928	26.3323	2
int_param_two	-99	-34	-66.5	32.5	2
choice_param	No numerical statistics available

submitit INFO (2026-05-10 01:14:47,543) - Starting with JobEnvironment(job_id=152285, hostname=runnervmrc6n4, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-05-10 01:14:47,543) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/0/single_runs/152285/152285_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": -97, "float_param": -42.360466718673706, "int_param_two": -99, "choice_param": "hallo"}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example --int_param='-97' --float_param='-42.36046671867370605469' --choice_param='hallo'  --int_param_two='-99' --nr_results=2 
pwd: /home/runner/work/OmniOpt/OmniOpt
File: ./.tests/optimization_example
UID: 1001
GID: 1001
Status-Change-Time: 1778372821.5631092
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: runner
Last access: 1778373373.4255393
Last modification: 1778372821.5631092
Hostname: runnervmrc6n4
========
DEBUG INFOS END

./.tests/optimization_example --int_param='-97' --float_param='-42.36046671867370605469' --choice_param='hallo'  --int_param_two='-99' --nr_results=2 
stdout:
 OO-Info: int_param: -97
OO-Info: int_param_two: -99
OO-Info: float_param: -42.36046671867370605469
OO-Info: choice_param: hallo
RESULT1: 1.85367912759921
RESULT2: 2.36248395484606

stderr was empty
Result: {'RESULT1': 1.85367912759921, 'RESULT2': 2.36248395484606}
Final-results: {'RESULT1': 1.85367912759921, 'RESULT2': 2.36248395484606}
EXIT_CODE: 0
submitit INFO (2026-05-10 01:14:54,746) - Job completed successfully
submitit INFO (2026-05-10 01:14:54,746) - Exiting after successful completion