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
2.6129278741	7	-91.49228863418102	-40	2	1.4186312675

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

2026-02-25 07:15:37 (e2dbafad-7ec6-415c-9eac-af0770460431): BOTORCH_MODULAR, 2 done, finishing jobs, finished 1 job

Git-Version

Commit: 747fe7706a7fd36667018db94e6396efbd886d4b (9267-4-g747fe7706)

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
0,1772003701,2,e2dbafad-7ec6-415c-9eac-af0770460431,1772003703,1772003716,13,./.tests/optimization_example  --int_param='7' --float_param='-91.49228863418102264404' --choice_param='2' --int_param_two='-40' --nr_results=2,0,,runnervmwffz4,0_0,COMPLETED,SOBOL,1.418631267499999903947127677384,2.612927874099999936419180812663,7,-91.49228863418102264404296875,-40,2
1,1772003719,2,e2dbafad-7ec6-415c-9eac-af0770460431,1772003721,1772003733,12,./.tests/optimization_example  --int_param='-78' --float_param='-1.12417476361565560339' --choice_param='4' --int_param_two='-16' --nr_results=2,0,,runnervmwffz4,1_0,COMPLETED,BOTORCH_MODULAR,1.467144904848284969745009220787,2.065646567355970297796829981962,-78,-1.124174763615655603388177041779,-16,4


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

Current git-hash: 747fe7706a7fd36667018db94e6396efbd886d4b (last fully tested stable version 4 commits ago [95422d9ad480c2b42aa4c975f8aa23637f180e31, 9267])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 02-25 07:14:57] ax.storage.sqa_store.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: 0c76c6a1-b5b1-4933-8c31-e9969e34fa8b
  _________________________________________________
 /                                                 \
| OmniOpt2 - Hyperparameter tuning: The philosopher |
| ’s stone of deep learning.                        |
 \                                                 /
  =================================================
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                                                                        __---__
                                                                     _-       /--______
                                                                __--( /     \ )XXXXXXXXXXX\v.
                                                              .-XXX(   O   O  )XXXXXXXXXXXXXXX-
                                                             /XXX(       U     )        XXXXXXX\
                                                           /XXXXX(              )--_  XXXXXXXXXXX\
                                                          /XXXXX/ (      O     )   XXXXXX   \XXXXX\
                                                          XXXXX/   /            XXXXXX   \__ \XXXXX
                                                          XXXXXX__/          XXXXXX         \__---->
                                                  ---___  XXX__/          XXXXXX      \__         /
                                                    \-  --__/   ___/\  XXXXXX            /  ___--/=
                                                     \-\    ___/    XXXXXX              '--- XXXXXX
                                                        \-\/XXX\ XXXXXX                      /XXXXX
                                                          \XXXXXXXXX   \                    /XXXXX/
                                                           \XXXXXX      >                 _/XXXXX/
                                                             \XXXXX--__/              __-- XXXX/
                                                              -XXXXXXXX---------------  XXXXXX-
                                                                 \XXXXXXXXXXXXXXXXXXXXXXXXXX/
                                                                   ""VXXXXXXXXXXXXXXXXXXV""
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
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=12 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      │     7     │ -91.49228863418102  │      -40      │      2       │   1.4186312675    │    2.6129278741    │
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼───────────────────┼────────────────────┤
│      1      │    -78    │ -1.1241747636156556 │      -16      │      4       │ 1.467144904848285 │ 2.0656465673559703 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴───────────────────┴────────────────────┘
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  │ 13.00 sec  │  12.50 sec   │  12.50 sec  │
└───────────────────────┴────────────┴────────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.050 │    1 │        0.050 │
│         2 │   0.737 │    1 │        0.737 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.393 │      │              │
│    Median │   0.393 │      │              │
│     Total │   0.787 │      │              │
│       Max │   0.737 │      │              │
│       Min │   0.050 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.266 │    1 │        0.266 │
│       2 │   0.105 │    1 │        0.105 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.185 │      │              │
│  Median │   0.185 │      │              │
│   Total │   0.371 │      │              │
│     Max │   0.266 │      │              │
│     Min │   0.105 │      │              │
└─────────┴─────────┴──────┴──────────────┘

2026-02-25 07:15:01 (e2dbafad-7ec6-415c-9eac-af0770460431): SOBOL, Started OmniOpt2 run...
2026-02-25 07:15:01 (e2dbafad-7ec6-415c-9eac-af0770460431): SOBOL, getting new HP set (no sbatch)
2026-02-25 07:15:01 (e2dbafad-7ec6-415c-9eac-af0770460431): SOBOL, requested 1 jobs, got 1, 0.05 s/job
2026-02-25 07:15:01 (e2dbafad-7ec6-415c-9eac-af0770460431): SOBOL, eval #1/1 start                    
2026-02-25 07:15:01 (e2dbafad-7ec6-415c-9eac-af0770460431): SOBOL, starting new job                   
2026-02-25 07:15:02 (e2dbafad-7ec6-415c-9eac-af0770460431): SOBOL, started new job                    
2026-02-25 07:15:17 (e2dbafad-7ec6-415c-9eac-af0770460431): SOBOL, new result: RESULT1: 1.418631 (SEM: 0.067417), RESULT2: 2.612928 (SEM: 0.188530)
2026-02-25 07:15:18 (e2dbafad-7ec6-415c-9eac-af0770460431): SOBOL, 1 done, finishing jobs, finished 1 job                                          
2026-02-25 07:15:19 (e2dbafad-7ec6-415c-9eac-af0770460431): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)                                
2026-02-25 07:15:19 (e2dbafad-7ec6-415c-9eac-af0770460431): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.74 s/job                           
2026-02-25 07:15:19 (e2dbafad-7ec6-415c-9eac-af0770460431): BOTORCH_MODULAR, 1 done, eval #1/1 start                                               
2026-02-25 07:15:19 (e2dbafad-7ec6-415c-9eac-af0770460431): BOTORCH_MODULAR, 1 done, starting new job                                              
2026-02-25 07:15:19 (e2dbafad-7ec6-415c-9eac-af0770460431): BOTORCH_MODULAR, 1 done, started new job                                               
2026-02-25 07:15:34 (e2dbafad-7ec6-415c-9eac-af0770460431): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.467145 (SEM: 0.420709), RESULT2: 2.065647 (SEM: 0.041184)
2026-02-25 07:15:37 (e2dbafad-7ec6-415c-9eac-af0770460431): BOTORCH_MODULAR, 2 done, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.266 │    1 │        0.266 │
│       2 │   0.105 │    1 │        0.105 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.185 │      │              │
│  Median │   0.185 │      │              │
│   Total │   0.371 │      │              │
│     Max │   0.266 │      │              │
│     Min │   0.105 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.050 │    1 │        0.050 │
│         2 │   0.737 │    1 │        0.737 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.393 │      │              │
│    Median │   0.393 │      │              │
│     Total │   0.787 │      │              │
│       Max │   0.737 │      │              │
│       Min │   0.050 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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
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
1772003699,794.28125,27.1

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	12	13	12.5	0.5	2
RESULT1	1.4186	1.4671	1.4429	0.0243	2
RESULT2	2.0656	2.6129	2.3393	0.2736	2
int_param	-78	7	-35.5	42.5	2
float_param	-91.4923	-1.1242	-46.3082	45.1841	2
int_param_two	-40	-16	-28	12	2
choice_param	2	4	3	1	2

submitit INFO (2026-02-25 07:15:02,456) - Starting with JobEnvironment(job_id=72384, hostname=runnervmwffz4, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-02-25 07:15:02,457) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0/single_runs/72384/72384_submitted.pkl
Trial-Index: 0
Running 2 sub-evaluations for trial 0...

  Sub-eval 1/2 for trial 0: {'RESULT1': 1.48604858534327, 'RESULT2': 2.42439752244124}
OO-Info: int_param: 7
OO-Info: int_param_two: -40
OO-Info: float_param: -91.49228863418102264404
OO-Info: choice_param: 2
RESULT1: 1.48604858534327
RESULT2: 2.42439752244124


  Sub-eval 2/2 for trial 0: {'RESULT1': 1.35121394957332, 'RESULT2': 2.80145822567599}
OO-Info: int_param: 7
OO-Info: int_param_two: -40
OO-Info: float_param: -91.49228863418102264404
OO-Info: choice_param: 2
RESULT1: 1.35121394957332
RESULT2: 2.80145822567599

Aggregated result for trial 0: RESULT1: 1.418631 (SEM: 0.067417), RESULT2: 2.612928 (SEM: 0.188530)
submitit INFO (2026-02-25 07:15:16,009) - Job completed successfully
submitit INFO (2026-02-25 07:15:16,009) - Exiting after successful completion