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 RESULT, min (total: 2)

OO_Info_int_param	OO_Info_int_param_two	OO_Info_float_param	OO_Info_choice_param	int_param	float_param	int_param_two	choice_param	RESULT
10	-83	-98.7305180405008	8	10	-98.73051804050081	-83	8	-184734.723729507

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
RESULT	min

Last progressbar status

2026-05-09 23:08:36 (2d213884-3e75-4f93-8a8b-381f79328975): BOTORCH_MODULAR, best RESULT: -184734.723729507, finishing jobs, finished 1 job

Git-Version

Commit: 5268678be516a64d8bfe1ff0d3bbd05a6f0bcdd2 (9304-1-g5268678be)

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,RESULT,int_param,float_param,int_param_two,choice_param
0,1778368094,2,2d213884-3e75-4f93-8a8b-381f79328975,1778368096,1778368102,6,./.tests/optimization_example --random_sem --int_param='-66' --float_param='-25.38076221942901611328' --choice_param='1' --int_param_two='-3' --nr_results=1,0,,runnervmeorf1,-66,-3,-25.38076221942901611328125,1,0_0,COMPLETED,SOBOL,-60734.827130334902903996407985687256,-66,-25.38076221942901611328125,-3,1
1,1778368105,2,2d213884-3e75-4f93-8a8b-381f79328975,1778368107,1778368113,6,./.tests/optimization_example --random_sem --int_param='10' --float_param='-98.73051804050081159403' --choice_param='8' --int_param_two='-83' --nr_results=1,0,,runnervmeorf1,10,-83,-98.730518040500797383174358401448,8,1_0,COMPLETED,BOTORCH_MODULAR,-184734.723729507008101791143417358398,10,-98.730518040500811594029073603451,-83,8


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

Current git-hash: 5268678be516a64d8bfe1ff0d3bbd05a6f0bcdd2 (last fully tested stable version 1 commit ago [7d04f3b04cc038a14898910e7a1fde53755e73b2, 9304])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-09 23:08:11] 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: 50c9f66c-2a64-4ac4-bc78-75aa8868a12b
  ______________________________________
| OmniOpt2 - Hyperparameters? Nailed it! |
  ======================================
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omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1yYW5kb21fc2VtIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --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 --generate_all_jobs_at_once --follow --show_generate_time_table
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/3
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=544 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 --random_sem --int_param='%(int_param)' --float_param='%(float_param)' --choice_param='%(choice_param)' --int_param_two='%(int_param_two)' --nr_results=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         │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description                                                 ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Best RESULT, min (total: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ int_param ┃ float_param        ┃ int_param_two ┃ choice_param ┃ RESULT            ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ 10                │ -83                   │ -98.7305180405008   │ 8                    │ 10        │ -98.73051804050081 │ -83           │ 8            │ -184734.723729507 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │   0.047 │    1 │        0.047 │
│         2 │   0.415 │    1 │        0.415 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.231 │      │              │
│    Median │   0.231 │      │              │
│     Total │   0.461 │      │              │
│       Max │   0.415 │      │              │
│       Min │   0.047 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.251 │    1 │        0.251 │
│       2 │   0.085 │    1 │        0.085 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.168 │      │              │
│  Median │   0.168 │      │              │
│   Total │   0.337 │      │              │
│     Max │   0.251 │      │              │
│     Min │   0.085 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│                                                                                                                                                                                                      │
│  ✅  Optimization complete!                                                                                                                                                                          │
│                                                                                                                                                                                                      │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                                                                                                                                          │
│    ⏱️  Duration: 34s                                                                                                                                                                                 │
│    🏆 Best RESULT: -184734.723729507                                                                                                                                                                 │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/3/results.csv                                                                                    │
│    🧠 Model: BOTORCH_MODULAR                                                                                                                                                                         │
│                                                                                                                                                                                                      │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-05-09 23:08:14 (2d213884-3e75-4f93-8a8b-381f79328975): SOBOL, Started OmniOpt2 run...
2026-05-09 23:08:14 (2d213884-3e75-4f93-8a8b-381f79328975): SOBOL, getting new HP set (no sbatch)
2026-05-09 23:08:14 (2d213884-3e75-4f93-8a8b-381f79328975): SOBOL, requested 1 jobs, got 1, 0.05 s/job
2026-05-09 23:08:14 (2d213884-3e75-4f93-8a8b-381f79328975): SOBOL, eval #1/1 start                    
2026-05-09 23:08:14 (2d213884-3e75-4f93-8a8b-381f79328975): SOBOL, starting new job                   
2026-05-09 23:08:15 (2d213884-3e75-4f93-8a8b-381f79328975): SOBOL, started new job                    
2026-05-09 23:08:24 (2d213884-3e75-4f93-8a8b-381f79328975): SOBOL, new result: RESULT: -60734.827130 (SEM: 0.563069)
2026-05-09 23:08:25 (2d213884-3e75-4f93-8a8b-381f79328975): SOBOL, best RESULT: -60734.8271303349, finishing jobs, finished 1 job
2026-05-09 23:08:25 (2d213884-3e75-4f93-8a8b-381f79328975): BOTORCH_MODULAR, best RESULT: -60734.8271303349, getting new HP set (no sbatch)
2026-05-09 23:08:25 (2d213884-3e75-4f93-8a8b-381f79328975): BOTORCH_MODULAR, best RESULT: -60734.8271303349, requested 1 jobs, got 1, 0.41 s/job
2026-05-09 23:08:25 (2d213884-3e75-4f93-8a8b-381f79328975): BOTORCH_MODULAR, best RESULT: -60734.8271303349, eval #1/1 start                    
2026-05-09 23:08:25 (2d213884-3e75-4f93-8a8b-381f79328975): BOTORCH_MODULAR, best RESULT: -60734.8271303349, starting new job                   
2026-05-09 23:08:25 (2d213884-3e75-4f93-8a8b-381f79328975): BOTORCH_MODULAR, best RESULT: -60734.8271303349, started new job                    
2026-05-09 23:08:34 (2d213884-3e75-4f93-8a8b-381f79328975): BOTORCH_MODULAR, best RESULT: -60734.8271303349, new result: RESULT: -184734.723730 (SEM: 0.005323)
2026-05-09 23:08:36 (2d213884-3e75-4f93-8a8b-381f79328975): BOTORCH_MODULAR, best RESULT: -184734.723729507, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.251 │    1 │        0.251 │
│       2 │   0.085 │    1 │        0.085 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.168 │      │              │
│  Median │   0.168 │      │              │
│   Total │   0.337 │      │              │
│     Max │   0.251 │      │              │
│     Min │   0.085 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.047 │    1 │        0.047 │
│         2 │   0.415 │    1 │        0.415 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.231 │      │              │
│    Median │   0.231 │      │              │
│     Total │   0.461 │      │              │
│       Max │   0.415 │      │              │
│       Min │   0.047 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1yYW5kb21fc2VtIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9w…
experiment_name	__main__tests__BOTORCH_MODULAR___nogridsearch
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	['RESULT=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	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
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
1778368092,771.19921875,27

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-66	10	-28	38	2
OO_Info_int_param_two	-83	-3	-43	40	2
OO_Info_float_param	-98.7305	-25.3808	-62.0556	36.6749	2
OO_Info_choice_param	1	8	4.5	3.5	2
RESULT	-184734.7237	-60734.8271	-122734.7754	61999.9483	2
int_param	-66	10	-28	38	2
float_param	-98.7305	-25.3808	-62.0556	36.6749	2
int_param_two	-83	-3	-43	40	2
choice_param	1	8	4.5	3.5	2

submitit INFO (2026-05-09 23:08:15,270) - Starting with JobEnvironment(job_id=82241, hostname=runnervmeorf1, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-05-09 23:08:15,270) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/3/single_runs/82241/82241_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": -66, "float_param": -25.380762219429016, "int_param_two": -3, "choice_param": 1}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example --random_sem --int_param='-66' --float_param='-25.38076221942901611328' --choice_param='1' --int_param_two='-3' --nr_results=1
pwd: /home/runner/work/OmniOpt/OmniOpt
File: ./.tests/optimization_example
UID: 1001
GID: 1001
Status-Change-Time: 1778366809.9571884
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: runner
Last access: 1778367421.6060042
Last modification: 1778366809.9571884
Hostname: runnervmeorf1
========
DEBUG INFOS END

./.tests/optimization_example --random_sem --int_param='-66' --float_param='-25.38076221942901611328' --choice_param='1' --int_param_two='-3' --nr_results=1
stdout:
 OO-Info: int_param: -66
OO-Info: int_param_two: -3
OO-Info: float_param: -25.38076221942901611328
OO-Info: choice_param: 1
RESULT: -60734.8271303349
SEM-RESULT: 0.563068699863837

stderr was empty
Result: {'RESULT': -60734.8271303349}
Final-results: {'RESULT': (-60734.8271303349, 0.563068699863837)}
EXIT_CODE: 0
submitit INFO (2026-05-09 23:08:22,775) - Job completed successfully
submitit INFO (2026-05-09 23:08:22,775) - Exiting after successful completion