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[INFO 11-01 09:15:07] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.1.6
Run-UUID: 4afbc5f0-15ab-4ee5-b009-d059d9fc00d6
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./omniopt --partition=alpha --live_share --debug --verbose --experiment_name=pip_test_experiment --mem_gb=1 --time=60 --worker_timeout=60 --max_eval=5 --num_parallel_jobs=5 --gpus=1 --num_random_steps=2 --follow --send_anonymized_usage_stats --result_names RESULT=min --run_program=ZWNobyAiUkVTVUxUOiAlKHgpJSh5KSI= --cpus_per_task=1 --nodes_per_job=1 --generate_all_jobs_at_once --model=BOTORCH_MODULAR --run_mode=local --occ_type=euclid --main_process_gb=8 --max_nr_of_zero_results=50 --slurm_signal_delay_s=0 --parameter x range 123 1000 int false --parameter y range 5431 1234 float false
⠋ Creating folder /home/runner/work/OmniOpt/OmniOpt/runs/pip_test_experiment/1...
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/pip_test_experiment/ 1
Lower bound (5431.0) was larger than upper bound (1234.0) for parameter 'y'. Switched them.
[WARNING 11-01 09:15:08] ax.service.ax_client: Selecting a GenerationStrategy when using BatchTrials is in beta. Double check the recommended strategy matches your expectations.
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=pip_test_experiment&run_nr=698 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 2 steps and then BOTORCH_MODULAR for 3 steps.
Run-Program: echo "RESULT: %(x)%(y)"
Experiment parameters
┏━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Type ┃ Log Scale? ┃
┡━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ x │ range │ 123 │ 1000 │ int │ No │
│ y │ range │ 1234 │ 5431 │ float │ No │
└──────┴───────┴─────────────┴─────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
SOBOL, started new job : 0%|░░░░░░░░░░| 0/5 [00:01, ?it/s][INFO 11-01 09:15:21] ax.service.ax_client: Completed trial 2 with data: {'RESULT': 5955089.46212}.
SOBOL, new result: RESULT: 5955089.462120 : 20%|██░░░░░░░░| 1/5 [00:10<00:42, 10.53s/it][INFO 11-01 09:15:22] ax.service.ax_client: Completed trial 1 with data: {'RESULT': 9543153.656485}.
[INFO 11-01 09:15:22] ax.service.ax_client: Completed trial 0 with data: {'RESULT': 3273833.576623}.
SOBOL, best RESULT: 5955089.462120219, new result: RESULT: 3273833.576623: 40%|████░░░░░░| 2/5 [00:11<00:14, 4.96s/it][INFO 11-01 09:15:23] ax.service.ax_client: Completed trial 3 with data: {'RESULT': 3441245.139167}.
[INFO 11-01 09:15:23] ax.service.ax_client: Completed trial 4 with data: {'RESULT': 4544740.26577}.
SOBOL, best RESULT: 3273833.57662338, █▁▅▇▆, finishing jobs, finished 5 jobs : 100%|██████████| 5/5 [00:15<00:00, 3.03s/it]
Best RESULT, min (total: 5)
┏━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ x ┃ y ┃ RESULT ┃
┡━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 327 │ 3833.576623380184 │ 3273833.57662338 │
└─────┴───────────────────┴──────────────────┘
╭─ ────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────── ─╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 5 succeeded / 0 failed / 5 done / 5 submitted │
│ ⏱️ Duration: 29s │
│ 🏆 Best RESULT: 3273833.57662338 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/pip_test_experiment/1/results.csv │
│ 🤖 Model: SOBOL │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, Started OmniOpt2 run...
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, getting new HP set #1/5 (no sbatch)
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, getting new HP set #2/5 (no sbatch)
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, getting new HP set #3/5 (no sbatch)
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, getting new HP set #4/5 (no sbatch)
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, getting new HP set #5/5 (no sbatch)
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, requested 5 jobs, got 5, 0.02 s/job
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, eval #1/5 start
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, eval #2/5 start
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, eval #3/5 start
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, eval #4/5 start
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, eval #5/5 start
2026-11-01 09:15:11 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, starting new job
2026-11-01 09:15:12 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, started new job
2026-11-01 09:15:21 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, new result: RESULT: 5955089.462120
2026-11-01 09:15:22 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, best RESULT: 5955089.462120219, new result: RESULT: 3273833.576623
2026-11-01 09:15:22 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, best RESULT: 5955089.462120219, new result: RESULT: 9543153.656485
2026-11-01 09:15:23 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, best RESULT: 3273833.57662338, █▁▅, new result: RESULT: 3441245.139167
2026-11-01 09:15:23 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, best RESULT: 3273833.57662338, █▁▅, new result: RESULT: 4544740.265770
2026-11-01 09:15:26 (f39159a1-56dd-40d4-8d58-ac20e6e1d374): SOBOL, best RESULT: 3273833.57662338, █▁▅▇▆, finishing jobs, finished 5 jobs
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Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 1.338 │ 5 │ 0.268 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 1.338 │ │ │
│ Median │ 1.338 │ │ │
│ Total │ 1.338 │ │ │
│ Max │ 1.338 │ │ │
│ Min │ 1.338 │ │ │
└─────────┴─────────┴──────┴──────────────┘
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Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.119 │ 5 │ 0.024 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.119 │ │ │
│ Median │ 0.119 │ │ │
│ Total │ 0.119 │ │ │
│ Max │ 0.119 │ │ │
│ Min │ 0.119 │ │ │
└───────────┴─────────┴──────┴──────────────┘
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This logs the CPU and RAM usage of the main worker process.
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timestamp,ram_usage_mb,cpu_usage_percent
1793524508,929.64453125,27.1 Copy raw data to clipboard
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RESULT (goal: minimize )Best value: 3273833.5766234
Achieved at:
- x = 327 (r=1, strong positive correlation)
- y = 3833.5766233802 (r=0.135, weak positive correlation)
- run_time = 0 (r=0, weak negative correlation)
Top-5 Best Results Parameter Sensitivity Ranking Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.
Convergence Analysis Parameter statistics Parameter Min Max Mean Std Dev Count run_time 0 0 0 0 5 RESULT 3273833.5766 9543153.6565 5351612.42 2304383.3544 5 x 327 954 534.8 230.42 5 y 1245.1392 5089.4621 3612.42 1365.0701 5