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
-91	-79	3.1124682642805976	2	-91	3.1124682642805976	-79	2	-162380.547760533

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

2025-12-28 16:11:12 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): BOTORCH_MODULAR, best RESULT: -162380.547760533, finishing jobs, finished 1 job

Git-Version

Commit: 2dde93a3993d5b2f6c18132e9210628745154cd3 (9192-5-g2dde93a39)

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
0,1766938251,2,285b5a41-4c64-4c8e-84bf-5307b0b046b7,1766938253,1766938259,6,./.tests/optimization_example  --int_param='-11' --float_param='-76.72578930854797363281' --choice_param='hallo' --int_param_two='-39' --nr_results=1,0,,runnervmdwttx,-11,-39,-76.7257893085479736328125,hallo,0_0,COMPLETED,SOBOL,-88854.366381051702774129807949066162,-11,-76.7257893085479736328125,-39,hallo
1,1766938262,1,285b5a41-4c64-4c8e-84bf-5307b0b046b7,1766938263,1766938269,6,./.tests/optimization_example  --int_param='-91' --float_param='3.11246826428059764069' --choice_param='2' --int_param_two='-79' --nr_results=1,0,,runnervmdwttx,-91,-79,3.112468264280597640691894412157,2,1_0,COMPLETED,BOTORCH_MODULAR,-162380.54776053299428895115852355957,-91,3.112468264280597640691894412157,-79,2


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

Current git-hash: 2dde93a3993d5b2f6c18132e9210628745154cd3 (last fully tested stable version 5 commits ago [b050738fbdd2e7450e0ffeaed15c7f77d52d5628, 9192])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-28 16:10:48] 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: 8b1d0c05-cb01-48fe-b8a6-692866622ca3
  _________________________________________________
 /                                                 \
| OmniOpt2 - Optimizing like it's the Matrix, but I |
|  am the One.                                      |
 \                                                 /
  =================================================
                                                   \
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                                                                                 ___-------___
                                                                             _-~~             ~~-_
                                                                          _-~                    /~-_
                                                        /^\__/^\         /~  \                   /    \
                                                      /|  O|| O|        /      \_______________/        \
                                                     | |___||__|      /       /                \          \
                                                     |          \    /      /                    \          \
                                                     |   (_______) /______/                        \_________ \
                                                     |         / /         \                      /            \
                                                      \         \^\\         \                  /               \     /
                                                        \         ||           \______________/      _-_       //\__//
                                                          \       ||------_-~~-_ ------------- \ --/~   ~\    || __/
                                                            ~-----||====/~     |==================|       |/~~~~~
                                                             (_(__/  ./     /                    \_\      \.
                                                                    (_(___/                         \_____)_)
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 Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --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/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=1913 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=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            ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -91               │ -79                   │ 3.1124682642805976  │ 2                    │ -91       │ 3.1124682642805976 │ -79           │ 2            │ -162380.547760533 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │   0.030 │    1 │        0.030 │
│         2 │   0.334 │    1 │        0.334 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.182 │      │              │
│    Median │   0.182 │      │              │
│     Total │   0.363 │      │              │
│       Max │   0.334 │      │              │
│       Min │   0.030 │      │              │
└───────────┴─────────┴──────┴──────────────┘
         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.108 │    1 │        0.108 │
│       2 │   0.071 │    1 │        0.071 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.089 │      │              │
│  Median │   0.089 │      │              │
│   Total │   0.179 │      │              │
│     Max │   0.108 │      │              │
│     Min │   0.071 │      │              │
└─────────┴─────────┴──────┴──────────────┘

2025-12-28 16:10:51 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): SOBOL, Started OmniOpt2 run...
2025-12-28 16:10:51 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): SOBOL, getting new HP set (no sbatch)
2025-12-28 16:10:51 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2025-12-28 16:10:51 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): SOBOL, eval #1/1 start                    
2025-12-28 16:10:51 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): SOBOL, starting new job                   
2025-12-28 16:10:51 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): SOBOL, started new job                    
2025-12-28 16:11:00 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): SOBOL, new result: RESULT: -88854.366381  
2025-12-28 16:11:01 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): SOBOL, best RESULT: -88854.3663810517, finishing jobs, finished 1 job
2025-12-28 16:11:02 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): BOTORCH_MODULAR, best RESULT: -88854.3663810517, getting new HP set (no sbatch)
2025-12-28 16:11:02 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): BOTORCH_MODULAR, best RESULT: -88854.3663810517, requested 1 jobs, got 1, 0.33 s/job
2025-12-28 16:11:02 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): BOTORCH_MODULAR, best RESULT: -88854.3663810517, eval #1/1 start                    
2025-12-28 16:11:02 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): BOTORCH_MODULAR, best RESULT: -88854.3663810517, starting new job                   
2025-12-28 16:11:02 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): BOTORCH_MODULAR, best RESULT: -88854.3663810517, started new job                    
2025-12-28 16:11:11 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): BOTORCH_MODULAR, best RESULT: -88854.3663810517, new result: RESULT: -162380.547761 
2025-12-28 16:11:12 (285b5a41-4c64-4c8e-84bf-5307b0b046b7): BOTORCH_MODULAR, best RESULT: -162380.547760533, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.108 │    1 │        0.108 │
│       2 │   0.071 │    1 │        0.071 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.089 │      │              │
│  Median │   0.089 │      │              │
│   Total │   0.179 │      │              │
│     Max │   0.108 │      │              │
│     Min │   0.071 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.030 │    1 │        0.030 │
│         2 │   0.334 │    1 │        0.334 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.182 │      │              │
│    Median │   0.182 │      │              │
│     Total │   0.363 │      │              │
│       Max │   0.334 │      │              │
│       Min │   0.030 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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	__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
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
1766938248,756.86328125,28.7

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-91	-11	-51	40	2
OO_Info_int_param_two	-79	-39	-59	20	2
OO_Info_float_param	-76.7258	3.1125	-36.8067	39.9191	2
OO_Info_choice_param	No numerical statistics available
RESULT	-162380.5478	-88854.3664	-125617.4571	36763.0907	2
int_param	-91	-11	-51	40	2
float_param	-76.7258	3.1125	-36.8067	39.9191	2
int_param_two	-79	-39	-59	20	2
choice_param	No numerical statistics available

submitit INFO (2025-12-28 16:10:51,582) - Starting with JobEnvironment(job_id=65857, hostname=runnervmdwttx, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-12-28 16:10:51,582) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/single_runs/65857/65857_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": -11, "float_param": -76.72578930854797, "int_param_two": -39, "choice_param": "hallo"}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-11' --float_param='-76.72578930854797363281' --choice_param='hallo' --int_param_two='-39' --nr_results=1
pwd: /home/runner/work/OmniOpt/OmniOpt
File: ./.tests/optimization_example
UID: 1001
GID: 1001
Status-Change-Time: 1766937415.3946276
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: runner
Last access: 1766938253.1012576
Last modification: 1766937415.3946276
Hostname: runnervmdwttx
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-11' --float_param='-76.72578930854797363281' --choice_param='hallo' --int_param_two='-39' --nr_results=1
stdout:
 OO-Info: int_param: -11
OO-Info: int_param_two: -39
OO-Info: float_param: -76.72578930854797363281
OO-Info: choice_param: hallo
RESULT: -88854.3663810517

stderr was empty
Result: {'RESULT': -88854.3663810517}
Final-results: {'RESULT': -88854.3663810517}
EXIT_CODE: 0
submitit INFO (2025-12-28 16:10:59,125) - Job completed successfully
submitit INFO (2025-12-28 16:10:59,125) - Exiting after successful completion