========================================================================
Current git-hash: bb3da5498a7ec1994891f33dac83f626ca69e85c (last fully tested stable version 6 commits ago [b9f1e470f24bdacf974e4cf9defd5b88ea683b32, 9405])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-20 19:56:35] 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]`.
Using old run's --time: 60Using old run's --gpus: 0Using old run's --max_eval: 2
Run-UUID: 29230884-57ad-4958-9a7d-7d680e4c9238
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_________________________________________________
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| OmniOpt2 - Hyperparameter tuning: the art of maki |
| ng educated guesses look scientific! |
\ /
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omniopt --continue runs/multi_results_2_results_BOTORCH_MODULAR/0 --live_share
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1
Continuation from runs/multi_results_2_results_BOTORCH_MODULAR/0
You have less --max_eval 2 than --num_random_steps 20. Switched both.See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=159 for live-results.You have 4 CPUs available for the main process.No CUDA devices found.Generation strategy: BOTORCH_MODULAR for 4 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=2
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃Name ┃Type ┃Lower bound┃Upper bound┃Values ┃Type ┃Log Scale?┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│int_param │rangeparameter │-100 │10 ││int │No │
│float_param │rangeparameter │-100 │10 ││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?┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│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 │ -58 │-76.94841235876083 │ -18 │ hallo │1.6804682778000002│ 2.4674994388 │
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼────────────────────┼──────────────────┤
│ 1 │ -37 │-1.3457411823872727│ -81 │ 8 │ 1.3392088828 │ 2.6382999195 │
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼────────────────────┼──────────────────┤
│ 2 │ -69 │-88.05563730255778 │ -95 │ 4 │ 1.1504368592 │ 2.9478672099 │
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼────────────────────┼──────────────────┤
│ 3 │ -100 │ 10 │ 0 │ 8 │ 1.999775812802 │2.34308712845402│
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴────────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭───────────────────────────────────────────────────────────────OmniOpt2 Run Summary───────────────────────────────────────────────────────────────╮│││ ✅ Optimization complete!││││ 📊 Trials: 2 succeeded / 0 failed / 4 done / 4 submitted ││ ⏱️ Duration: 37s ││ 🏆 Best RESULT1: 1.1504368592 ││ 🏆 Best RESULT2: 2.34308712845402 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-20 19:56:38 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-20 19:56:39 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-20 19:56:39 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.73 s/job
2026-07-20 19:56:39 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, eval #1/1 start
2026-07-20 19:56:39 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, starting new job
2026-07-20 19:56:39 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, started new job
2026-07-20 19:56:48 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, new result: RESULT1: 1.150437, RESULT2: 2.947867
2026-07-20 19:56:50 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, 3 done, ▁▅█, finishing jobs, finished 1 job
2026-07-20 19:56:52 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, 3 done, ▁▅█, getting new HP set (no sbatch)
2026-07-20 19:56:52 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, 3 done, ▁▅█, requested 1 jobs, got 1, 1.28 s/job
2026-07-20 19:56:52 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, 3 done, ▁▅█, eval #1/1 start
2026-07-20 19:56:52 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, 3 done, ▁▅█, starting new job
2026-07-20 19:56:52 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, 3 done, ▁▅█, started new job
2026-07-20 19:57:01 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, 3 done, ▁▅█, new result: RESULT1: 1.999776, RESULT2: 2.343087
2026-07-20 19:57:04 (fcfc0f7c-f612-451a-ba41-fe39beb98bf5): BOTORCH_MODULAR, 4 done, ▃▆█▁, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.124 │ 1 │ 0.124 │
│ 2 │ 0.099 │ 1 │ 0.099 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.112 │ │ │
│ Median │ 0.112 │ │ │
│ Total │ 0.223 │ │ │
│ Max │ 0.124 │ │ │
│ Min │ 0.099 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.731 │ 1 │ 0.731 │
│ 2 │ 1.279 │ 1 │ 1.279 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 1.005 │ │ │
│ Median │ 1.005 │ │ │
│ Total │ 2.010 │ │ │
│ Max │ 1.279 │ │ │
│ Min │ 0.731 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Arguments Overview
Key
Value
config_yaml
None
config_toml
None
config_json
None
num_random_steps
20
max_eval
None
run_program
None
experiment_name
None
mem_gb
1
parameter
None
continue_previous_job
runs/multi_results_2_results_BOTORCH_MODULAR/0
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
False
send_anonymized_usage_stats
False
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
False
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
nr_evals_per_arm
1
disable_notifications
False
dump_config
None
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
20
worker_timeout
30
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.
Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.