OmniOpt2

Experiment overview

Setting	Value
Max. nr. evaluations	6
Max. nr. evaluations (from arguments)	2
Number random steps	1
Nr. of workers (parameter)	1
Nr. imported jobs	4

Best RESULT, min (total: 2 + inserted jobs: 4)

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
-100.0	-100.0	-226.58970952241432	8.0	-100	-226.58970952241432	-100	8	-756318.855566762

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	5	5

Experiment parameters

Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
int_param	rangeparameter	-100	10		int	No
float_param	rangeparameter	-1000	1000		float	No
choice_param	choiceparameter			1, 2, 4, 8, 16, hallo
int_param_two	rangeparameter	-100	10		int	No

Number of evaluations

Failed	Succeeded	Running	Total
0	6	0	6

Result names and types

name	min/max
RESULT	min

Last progressbar status

2025-10-31 11:03:32 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, best RESULT: -756318.855566762, finishing jobs, finished 1 job

Git-Version

Commit: 31d2e0738b1d3d941fb816614ce321579eec5e2a (8946-3-g31d2e0738)

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,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-47847.642576625097717624157667160034,-41,-43.40942323207855224609375,-8,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-207131.758010949008166790008544921875,-29,-98.80464248334401133888604817912,-89,8
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-330230.919999999983701854944229125977,-100,-100,-100,8
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-243959.01364427999942563474178314209,-100,-43.967431670733880366697121644393,-100,8
4,1761908580,2,2572697d-ab9c-4d5b-9329-79eec646947d,1761908582,1761908588,6,./.tests/optimization_example  --int_param='-100' --float_param='-165.82913536086633143896' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,76977178fb25,-100,-100,-165.829135360866331438955967314541,8,4_0,COMPLETED,BOTORCH_MODULAR,-511806.854881412000395357608795166016,-100,-165.829135360866331438955967314541,-100,8
5,1761908601,2,2572697d-ab9c-4d5b-9329-79eec646947d,1761908603,1761908609,6,./.tests/optimization_example  --int_param='-100' --float_param='-226.58970952241432428309' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,76977178fb25,-100,-100,-226.589709522414324283090536482632,8,5_0,COMPLETED,BOTORCH_MODULAR,-756318.855566762038506567478179931641,-100,-226.589709522414324283090536482632,-100,8


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

Current git-hash: 31d2e0738b1d3d941fb816614ce321579eec5e2a (last fully tested stable version 3 commits ago [de83f485f1baba61b8d986138485a09fbde31698, 8946])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
⠋ Importing dataclass...
⠋ Importing socket...
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⠋ Importing pwd...
⠋ Importing base64...
⠋ Importing json...
⠋ Importing yaml...
⠋ Importing toml...
⠋ Importing csv...
⠋ Importing ast...
⠋ Importing rich.table...
⠋ Importing rich print...
⠋ Importing rich.pretty...
⠋ Importing pformat...
⠋ Importing rich.prompt...
⠋ Importing types.FunctionType...
⠋ Importing typing...
⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
⠋ Importing submitit.Job...
⠋ Importing importlib.util...
⠋ Importing platform...
⠋ Importing inspect frame info...
⠋ Importing pathlib.Path...
⠋ Importing uuid...
⠋ Importing cowsay...
⠋ Importing shutil...
⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
⠋ Importing beartype...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠋ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Importing torch...
⠋ Importing numpy...
[WARNING 10-31 11:02:50] 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]`.
⠦ Importing ax...
⠋ Importing ax.core.generator_run...
⠋ Importing Cont_X_trans and Y_trans from ax.adapter.registry...
⠋ Importing ax.core.arm...
⠋ Importing ax.core.objective...
⠋ Importing ax.core.Metric...
⠋ Importing ax.exceptions.core...
⠋ Importing ax.exceptions.generation_strategy...
⠋ Importing CORE_DECODER_REGISTRY...
⠋ Trying ax.generation_strategy.generation_node...
⠋ Importing GenerationStep, GenerationStrategy from generation_strategy...
⠋ Importing GenerationNode from generation_node...
⠋ Importing ExternalGenerationNode...
⠋ Importing MaxTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Models from ax.generation_strategy.registry...
⠋ Importing get_pending_observation_features...
⠋ Importing load_experiment...
⠋ Importing save_experiment...
⠋ Importing save_experiment_to_db...
⠋ Importing TrialStatus...
⠋ Importing Data...
⠋ Importing Experiment...
⠋ Importing parameter types...
⠋ Importing TParameterization...
⠋ Importing pandas...
⠋ Importing AxClient and ObjectiveProperties...
⠋ Importing RandomForestRegressor...
⠋ Importing botorch...
⠋ Importing submitit...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: e43a131b-0338-4c7c-90d7-8c8330f3d592
  _________________________________________________
 /                                                 \
| OmniOpt2 - Tuning hyperparameters like a caffeina |
| ted monk with a Rubik's Cube.                     |
 \                                                 /
  =================================================
                                                      \
                                                       \
                                                        \
                                                         .--.
                                                        |o_o |
                                                        |:_/ |
                                                       //   \ \
                                                      (|     | )
                                                     /'\_   _/`\
                                                     \___)=(___/
⠋ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
⠋ Saving state files...
Run-folder: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠋ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Initializing ax_client...
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=743 for live-results.

You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 9 steps.
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     │ rangeparameter  │ -100        │ 10          │                       │ int   │ No         │
│ float_param   │ rangeparameter  │ -1000       │ 1000        │                       │ float │ No         │
│ choice_param  │ choiceparameter │             │             │ 1, 2, 4, 8, 16, hallo │       │            │
│ int_param_two │ rangeparameter  │ -100        │ 10          │                       │ int   │ No         │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
        Result-Names         
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -756318.855566762, finishing jobs, finished 1 job     : 100%|██████████| 6/6 [00:33<00:00,  5.52s/it]
                                                                Best RESULT, min (total: 2 + inserted jobs: 4)                                                                 
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ 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            ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -100.0            │ -100.0                │ -226.58970952241432 │ 8.0                  │ -100      │ -226.58970952241432 │ -100          │ 8            │ -756318.855566762 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴───────────────────┘
                                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   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

2025-10-31 11:02:59 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-31 11:03:00 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-31 11:03:00 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.07 s/job
2025-10-31 11:03:00 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, eval #1/1 start                    
2025-10-31 11:03:00 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, starting new job                   
2025-10-31 11:03:00 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, started new job                    
2025-10-31 11:03:09 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, new result: RESULT: -511806.854881 
2025-10-31 11:03:19 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, best RESULT: -511806.854881412, finishing jobs, finished 1 job
2025-10-31 11:03:21 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, best RESULT: -511806.854881412, getting new HP set (no sbatch)
2025-10-31 11:03:21 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, best RESULT: -511806.854881412, requested 1 jobs, got 1, 1.32 s/job
2025-10-31 11:03:21 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, best RESULT: -511806.854881412, eval #1/1 start                    
2025-10-31 11:03:21 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, best RESULT: -511806.854881412, starting new job                   
2025-10-31 11:03:21 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, best RESULT: -511806.854881412, started new job                    
2025-10-31 11:03:30 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, best RESULT: -511806.854881412, new result: RESULT: -756318.855567 
2025-10-31 11:03:32 (2572697d-ab9c-4d5b-9329-79eec646947d): BOTORCH_MODULAR, best RESULT: -756318.855566762, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.181 │    1 │        0.181 │
│       2 │   0.105 │    1 │        0.105 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.143 │      │              │
│  Median │   0.143 │      │              │
│   Total │   0.286 │      │              │
│     Max │   0.181 │      │              │
│     Min │   0.105 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   1.071 │    1 │        1.071 │
│         2 │   1.324 │    1 │        1.324 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   1.197 │      │              │
│    Median │   1.197 │      │              │
│     Total │   2.395 │      │              │
│       Max │   1.324 │      │              │
│       Min │   1.071 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	None
experiment_name	None
mem_gb	4
parameter	[['float_param', 'range', '-1000', '1000', 'float']]
continue_previous_job	runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	None
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	/root
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	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	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
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	10
slurm_use_srun	False
time
partition
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	False
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
1761908570,803.1171875,28.9

`RESULT` (goal: minimize)

Best value: -756318.85556676
Achieved at:
- int_param = -100
- float_param = -226.58970952241
- int_param_two = -100
- choice_param = 8

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-100	-100	-100	0	2
OO_Info_int_param_two	-100	-100	-100	0	2
OO_Info_float_param	-226.5897	-165.8291	-196.2094	30.3803	2
OO_Info_choice_param	8	8	8	0	2
RESULT	-756318.8556	-47847.6426	-349549.1741	228989.8616	6
int_param	-100	-29	-78.3333	30.8365	6
float_param	-226.5897	-43.4094	-113.1001	65.4119	6
int_param_two	-100	-8	-82.8333	33.7067	6
choice_param	8	16	9.3333	2.9814	6

submitit INFO (2025-10-31 11:03:01,197) - Starting with JobEnvironment(job_id=4397, hostname=76977178fb25, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-10-31 11:03:01,197) - Loading pickle: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/single_runs/4397/4397_submitted.pkl
Trial-Index: 4

Parameters: {"int_param": -100, "float_param": -165.82913536086633, "int_param_two": -100, "choice_param": 8}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-100' --float_param='-165.82913536086633143896' --choice_param='8' --int_param_two='-100' --nr_results=1
pwd: /var/opt/omniopt
File: ./.tests/optimization_example
UID: 0
GID: 0
Status-Change-Time: 1761908405.598795
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: root
Last access: 1761908037.8337235
Last modification: 1761908037.8337235
Hostname: 76977178fb25
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-100' --float_param='-165.82913536086633143896' --choice_param='8' --int_param_two='-100' --nr_results=1
stdout:
 OO-Info: int_param: -100
OO-Info: int_param_two: -100
OO-Info: float_param: -165.82913536086633143896
OO-Info: choice_param: 8
RESULT: -511806.854881412

stderr was empty
Result: {'RESULT': -511806.854881412}
Final-results: {'RESULT': -511806.854881412}
EXIT_CODE: 0
submitit INFO (2025-10-31 11:03:08,879) - Job completed successfully
submitit INFO (2025-10-31 11:03:08,879) - Exiting after successful completion