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)

OO_Info_int_param	OO_Info_int_param_two	OO_Info_float_param	OO_Info_choice_param	RESULT2	int_param	float_param	int_param_two	choice_param	RESULT1
-100	-100	-8.634892677662961	4	2.54376541576082	-100	-8.634892677662961	-100	4	1.2832895518086

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	min

Last progressbar status

2025-11-03 12:02:44 (4134489f-58c1-4d01-8459-264b4d7a92c0): BOTORCH_MODULAR, 2 done, finishing jobs, finished 1 job

Git-Version

Commit: d4b347d0143cfe361305b4af605a7649277b523e (9036-3-gd4b347d01)

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,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,1762171339,2,4134489f-58c1-4d01-8459-264b4d7a92c0,1762171341,1762171347,6,./.tests/optimization_example  --int_param='9' --float_param='-90.28018809854984283447' --choice_param='16' --int_param_two='-5' --nr_results=2,0,,runnervmf2e7y,9,-5,-90.28018809854984283447265625,16,0_0,COMPLETED,SOBOL,1.997499520699999919770561973564,2.492187135900000072297189035453,9,-90.28018809854984283447265625,-5,16
1,1762171351,2,4134489f-58c1-4d01-8459-264b4d7a92c0,1762171353,1762171359,6,./.tests/optimization_example  --int_param='-100' --float_param='-8.6348926776629610913' --choice_param='4' --int_param_two='-100' --nr_results=2,0,,runnervmf2e7y,-100,-100,-8.63489267766296109130053082481,4,1_0,COMPLETED,BOTORCH_MODULAR,1.28328955180860004858800493821,2.543765415760820047808010713197,-100,-8.63489267766296109130053082481,-100,4


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

Current git-hash: d4b347d0143cfe361305b4af605a7649277b523e (last fully tested stable version 3 commits ago [08e0a223bfd039e9f94664c10d2f495d3ed3093c, 9036])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-03 12:02:15] 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: b30a68fc-0c24-4779-900e-7ddb53bb464e
  _________________________________________________
 /                                                 \
| OmniOpt2 - Hyperparameter tuning: The philosopher |
| ’s stone of deep learning.                        |
 \                                                 /
  =================================================
                                                         \
                                                          \
                                                           \
                                                            \
                                                             /- _  `-/  '
                                                            (/\/ \ \   /\
                                                            / /   | `    \
                                                            O O   ) /    |
                                                            `-^--'`<     '
                                                           (_.)  _  )   /
                                                            `.___/`    /
                                                              `-----' /
                                                 <----.     __ / __   \
                                                 <----|====O)))==) \) /====
                                                 <----'    `--' `.__,' \
                                                              |        |
                                                               \       /
                                                         ______( (_  / \______
                                                       ,'  ,-----'   |        \
                                                       `--{__________)        \/
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=TRANSFORMS_Cont_X_trans_Y_trans --transforms=Cont_X_trans_Y_trans --mem_gb=4 --time=60 --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=min --generate_all_jobs_at_once --follow --show_generate_time_table
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_Cont_X_trans_Y_trans/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=TRANSFORMS_Cont_X_trans_Y_trans&run_nr=16 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     │         min │
└─────────────┴─────────────┘
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      │     9     │ -90.28018809854984 │      -5       │      16      │  1.9974995207   │   2.4921871359   │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼─────────────────┼──────────────────┤
│      1      │   -100    │ -8.634892677662961 │     -100      │      4       │ 1.2832895518086 │ 2.54376541576082 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴─────────────────┴──────────────────┘
                                     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           │ 6.00 sec  │ 6.00 sec  │   6.00 sec   │  6.00 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.015 │    1 │        0.015 │
│         2 │   0.910 │    1 │        0.910 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.463 │      │              │
│    Median │   0.463 │      │              │
│     Total │   0.925 │      │              │
│       Max │   0.910 │      │              │
│       Min │   0.015 │      │              │
└───────────┴─────────┴──────┴──────────────┘
         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.213 │    1 │        0.213 │
│       2 │   0.113 │    1 │        0.113 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.163 │      │              │
│  Median │   0.163 │      │              │
│   Total │   0.326 │      │              │
│     Max │   0.213 │      │              │
│     Min │   0.113 │      │              │
└─────────┴─────────┴──────┴──────────────┘

2025-11-03 12:02:19 (4134489f-58c1-4d01-8459-264b4d7a92c0): SOBOL, Started OmniOpt2 run...
2025-11-03 12:02:19 (4134489f-58c1-4d01-8459-264b4d7a92c0): SOBOL, getting new HP set (no sbatch)
2025-11-03 12:02:19 (4134489f-58c1-4d01-8459-264b4d7a92c0): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2025-11-03 12:02:19 (4134489f-58c1-4d01-8459-264b4d7a92c0): SOBOL, eval #1/1 start                    
2025-11-03 12:02:19 (4134489f-58c1-4d01-8459-264b4d7a92c0): SOBOL, starting new job                   
2025-11-03 12:02:19 (4134489f-58c1-4d01-8459-264b4d7a92c0): SOBOL, started new job                    
2025-11-03 12:02:28 (4134489f-58c1-4d01-8459-264b4d7a92c0): SOBOL, new result: RESULT1: 1.997500, RESULT2: 2.492187
2025-11-03 12:02:30 (4134489f-58c1-4d01-8459-264b4d7a92c0): SOBOL, 1 done, finishing jobs, finished 1 job          
2025-11-03 12:02:31 (4134489f-58c1-4d01-8459-264b4d7a92c0): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2025-11-03 12:02:31 (4134489f-58c1-4d01-8459-264b4d7a92c0): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.91 s/job
2025-11-03 12:02:31 (4134489f-58c1-4d01-8459-264b4d7a92c0): BOTORCH_MODULAR, 1 done, eval #1/1 start                    
2025-11-03 12:02:31 (4134489f-58c1-4d01-8459-264b4d7a92c0): BOTORCH_MODULAR, 1 done, starting new job                   
2025-11-03 12:02:31 (4134489f-58c1-4d01-8459-264b4d7a92c0): BOTORCH_MODULAR, 1 done, started new job                    
2025-11-03 12:02:40 (4134489f-58c1-4d01-8459-264b4d7a92c0): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.283290, RESULT2: 2.543765
2025-11-03 12:02:44 (4134489f-58c1-4d01-8459-264b4d7a92c0): BOTORCH_MODULAR, 2 done, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.213 │    1 │        0.213 │
│       2 │   0.113 │    1 │        0.113 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.163 │      │              │
│  Median │   0.163 │      │              │
│   Total │   0.326 │      │              │
│     Max │   0.213 │      │              │
│     Min │   0.113 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.015 │    1 │        0.015 │
│         2 │   0.910 │    1 │        0.910 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.463 │      │              │
│    Median │   0.463 │      │              │
│     Total │   0.925 │      │              │
│       Max │   0.910 │      │              │
│       Min │   0.015 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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	TRANSFORMS_Cont_X_trans_Y_trans
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	['RESULT1=min', 'RESULT2=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	['Cont_X_trans_Y_trans']
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
1762171336,776.046875,27.1

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-100	9	-45.5	54.5	2
OO_Info_int_param_two	-100	-5	-52.5	47.5	2
OO_Info_float_param	-90.2802	-8.6349	-49.4575	40.8226	2
OO_Info_choice_param	4	16	10	6	2
RESULT1	1.2833	1.9975	1.6404	0.3571	2
RESULT2	2.4922	2.5438	2.518	0.0258	2
int_param	-100	9	-45.5	54.5	2
float_param	-90.2802	-8.6349	-49.4575	40.8226	2
int_param_two	-100	-5	-52.5	47.5	2
choice_param	4	16	10	6	2

/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/submitit/core/plugins.py:24: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
  import pkg_resources
submitit INFO (2025-11-03 12:02:20,149) - Starting with JobEnvironment(job_id=153821, hostname=runnervmf2e7y, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-11-03 12:02:20,149) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_Cont_X_trans_Y_trans/0/single_runs/153821/153821_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": 9, "float_param": -90.28018809854984, "int_param_two": -5, "choice_param": 16}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='9' --float_param='-90.28018809854984283447' --choice_param='16' --int_param_two='-5' --nr_results=2
pwd: /home/runner/work/OmniOpt/OmniOpt
File: ./.tests/optimization_example
UID: 1001
GID: 1001
Status-Change-Time: 1762168590.518297
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: runner
Last access: 1762168918.7636619
Last modification: 1762168590.518297
Hostname: runnervmf2e7y
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='9' --float_param='-90.28018809854984283447' --choice_param='16' --int_param_two='-5' --nr_results=2
stdout:
 OO-Info: int_param: 9
OO-Info: int_param_two: -5
OO-Info: float_param: -90.28018809854984283447
OO-Info: choice_param: 16
RESULT1: 1.99749952073126
RESULT2: 2.49218713594334

stderr was empty
Result: {'RESULT1': 1.99749952073126, 'RESULT2': 2.49218713594334}
Final-results: {'RESULT1': 1.99749952073126, 'RESULT2': 2.49218713594334}
EXIT_CODE: 0
submitit INFO (2025-11-03 12:02:27,615) - Job completed successfully
submitit INFO (2025-11-03 12:02:27,616) - Exiting after successful completion