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	1.0	-1000.0	4.0	-100	-1000.0	1	4	-10211108.52

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

2025-11-12 21:14:31 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, best RESULT: -10211108.52, finishing jobs, finished 1 job

Git-Version

Commit: 89433b41022e8fe4b56f9ee505d15c6dc554fb05 (9077-4-g89433b410)

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,-42553.356127944702166132628917694092,-7,-15.6311321258544921875,-56,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-187819.168000083998776972293853759766,-92,-49.767004665294756193816283484921,-75,8
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-229211.720000000001164153218269348145,-100,-100,-24,8
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-141318.92000000001280568540096282959,-50,-100,10,8
4,1762982046,2,9c0b5e61-fbe6-4dc0-8dec-1c05579c1939,1762982048,1762982054,6,./.tests/optimization_example  --int_param='-100' --float_param='-852.44403394735161327844' --choice_param='8' --int_param_two='10' --nr_results=1,0,,e003e866d78b,-100,10,-852.444033947351726965280249714851,8,4_0,COMPLETED,BOTORCH_MODULAR,-7463271.63351907022297382354736328125,-100,-852.444033947351613278442528098822,10,8
5,1762982059,2,9c0b5e61-fbe6-4dc0-8dec-1c05579c1939,1762982061,1762982067,6,./.tests/optimization_example  --int_param='-100' --float_param='-1000' --choice_param='4' --int_param_two='1' --nr_results=1,0,,e003e866d78b,-100,1,-1000,4,5_0,COMPLETED,BOTORCH_MODULAR,-10211108.5199999995529651641845703125,-100,-1000,1,4


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

Current git-hash: 89433b41022e8fe4b56f9ee505d15c6dc554fb05 (last fully tested stable version 4 commits ago [c469e04d3b6be6a64610427ed0a7f1562b9a4eae, 9077])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ Importing logging...
⠋ Importing warnings...
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⠋ Importing datetime...
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⠋ Importing types.FunctionType...
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⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
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⠋ Importing importlib.util...
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⠋ Importing pathlib.Path...
⠋ Importing uuid...
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⠋ Trying to import pyfiglet...
⠋ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Importing torch...
⠋ Importing numpy...
[WARNING 11-12 21:13:59] 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: 6a88953d-98dc-405b-b28d-28562cc810ca
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⠋ 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=1112 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: -10211108.52, finishing jobs, finished 1 job           : 100%|██████████| 6/6 [00:26<00:00,  4.36s/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            │ 1.0                   │ -1000.0             │ 4.0                  │ -100      │ -1000.0     │ 1             │ 4            │ -10211108.52 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────┘
                                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   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

2025-11-12 21:14:04 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-11-12 21:14:06 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-11-12 21:14:06 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.53 s/job
2025-11-12 21:14:06 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, eval #1/1 start                    
2025-11-12 21:14:06 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, starting new job                   
2025-11-12 21:14:06 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, started new job                    
2025-11-12 21:14:15 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, new result: RESULT: -7463271.633519
2025-11-12 21:14:17 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, best RESULT: -7463271.63351907, finishing jobs, finished 1 job
2025-11-12 21:14:19 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, best RESULT: -7463271.63351907, getting new HP set (no sbatch)
2025-11-12 21:14:19 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, best RESULT: -7463271.63351907, requested 1 jobs, got 1, 1.67 s/job
2025-11-12 21:14:19 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, best RESULT: -7463271.63351907, eval #1/1 start                    
2025-11-12 21:14:19 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, best RESULT: -7463271.63351907, starting new job                   
2025-11-12 21:14:19 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, best RESULT: -7463271.63351907, started new job                    
2025-11-12 21:14:28 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, best RESULT: -7463271.63351907, new result: RESULT: -10211108.520000
2025-11-12 21:14:31 (9c0b5e61-fbe6-4dc0-8dec-1c05579c1939): BOTORCH_MODULAR, best RESULT: -10211108.52, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.184 │    1 │        0.184 │
│       2 │   0.103 │    1 │        0.103 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.144 │      │              │
│  Median │   0.144 │      │              │
│   Total │   0.287 │      │              │
│     Max │   0.184 │      │              │
│     Min │   0.103 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   1.529 │    1 │        1.529 │
│         2 │   1.669 │    1 │        1.669 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   1.599 │      │              │
│    Median │   1.599 │      │              │
│     Total │   3.198 │      │              │
│       Max │   1.669 │      │              │
│       Min │   1.529 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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
1762982040,804,28.8

`RESULT` (goal: minimize)

Best value: -10211108.52
Achieved at:
- int_param = -100
- float_param = -1000
- int_param_two = 1
- choice_param = 4

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	1	10	5.5	4.5	2
OO_Info_float_param	-1000	-852.444	-926.222	73.778	2
OO_Info_choice_param	4	8	6	2	2
RESULT	-10211108.52	-42553.3561	-3045880.5529	4171578.9677	6
int_param	-100	-7	-74.8333	35.1493	6
float_param	-1000	-15.6311	-352.9737	408.6236	6
int_param_two	-75	10	-22.3333	33.0286	6
choice_param	4	8	6.6667	1.8856	6

submitit INFO (2025-11-12 21:14:07,004) - Starting with JobEnvironment(job_id=4394, hostname=e003e866d78b, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-11-12 21:14:07,005) - Loading pickle: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/single_runs/4394/4394_submitted.pkl
Trial-Index: 4

Parameters: {"int_param": -100, "float_param": -852.4440339473516, "int_param_two": 10, "choice_param": 8}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-100' --float_param='-852.44403394735161327844' --choice_param='8' --int_param_two='10' --nr_results=1
pwd: /var/opt/omniopt
File: ./.tests/optimization_example
UID: 0
GID: 0
Status-Change-Time: 1762981892.6163855
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: root
Last access: 1762981521.412799
Last modification: 1762981521.412799
Hostname: e003e866d78b
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-100' --float_param='-852.44403394735161327844' --choice_param='8' --int_param_two='10' --nr_results=1
stdout:
 OO-Info: int_param: -100
OO-Info: int_param_two: 10
OO-Info: float_param: -852.44403394735161327844
OO-Info: choice_param: 8
RESULT: -7463271.63351907

stderr was empty
Result: {'RESULT': -7463271.63351907}
Final-results: {'RESULT': -7463271.63351907}
EXIT_CODE: 0
submitit INFO (2025-11-12 21:14:14,528) - Job completed successfully
submitit INFO (2025-11-12 21:14:14,528) - Exiting after successful completion