trial_index,submit_time,queue_time,start_time,end_time,run_time,program_string,VAL_ACC,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,epochs,lr,batch_size,hidden_size,dropout,num_dense_layers,weight_decay,activation,init
0,1753974955,33,1753974988,1753975055,67,python3 .tests/mnist/train --epochs 99 --learning_rate 0.07463103332042694826 --batch_size 1749 --hidden_size 818 --dropout 0.3875407874584197998 --activation leaky_relu --num_dense_layers 1 --init normal --weight_decay 0.06526903063058853149,,1,,c152,531262,0_0,FAILED,SOBOL,99,0.07463103332042694826320428092,1749,818,0.3875407874584197998046875,1,0.065269030630588531494140625,leaky_relu,normal
1,,,,,,,,,,,,1_0,RUNNING,SOBOL,187,0.012839694696003571203202220374,730,1492,0.136625979561358690261840820312,3,0.770883970893919467926025390625,leaky_relu,normal
2,1753975025,12,1753975037,1753975049,12,python3 .tests/mnist/train --epochs 128 --learning_rate 0.09054783957032487562 --batch_size 1086 --hidden_size 374 --dropout 0.03560980269685387611 --activation leaky_relu --num_dense_layers 4 --init normal --weight_decay 0.41817993298172950745,,1,,c152,531264,2_0,FAILED,SOBOL,128,0.090547839570324875624329763468,1086,374,0.035609802696853876113891601562,4,0.4181799329817295074462890625,leaky_relu,normal
3,1753975069,46,1753975115,1753975122,7,python3 .tests/mnist/train --epochs 15 --learning_rate 0.04691798380400055007 --batch_size 71 --hidden_size 1940 --dropout 0.2844475223682820797 --activation leaky_relu --num_dense_layers 2 --init normal --weight_decay 0.74560602474957704544,,1,,c152,531266,3_0,RUNNING,SOBOL,15,0.046917983804000550074331243877,71,1940,0.284447522368282079696655273438,2,0.745606024749577045440673828125,leaky_relu,normal
4,,,,,,,,,,,,4_0,RUNNING,SOBOL,35,0.077810990312183275774415847081,825,1691,0.3420911543071269989013671875,1,0.291878604330122470855712890625,leaky_relu,normal
To cancel, press CTRL c, then run 'scancel 531256'
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Run-UUID: bed114f3-8e2b-421f-9cd7-c9faf459e6c8
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omniopt --partition=alpha --experiment_name=mnist_gpu_noall --mem_gb=10 --time=2880 --worker_timeout=120 --max_eval=500 --num_parallel_jobs=20 --gpus=1 --num_random_steps=20 --follow --live_share --send_anonymized_usage_stats --result_names VAL_ACC=max --run_program='cHl0aG9uMyAudGVzdHMvbW5pc3QvdHJhaW4gLS1lcG9jaHMgJWVwb2NocyAtLWxlYXJuaW5nX3JhdGUgJWxyIC0tYmF0Y2hfc2l6ZSAlYmF0Y2hfc2l6ZSAtLWhpZGRlbl9zaXplICVoaWRkZW5fc2l6ZSAtLWRyb3BvdXQgJWRyb3BvdXQgLS1hY3RpdmF0aW9uICVhY3RpdmF0aW9uIC0tbnVtX2RlbnNlX2xheWVycyAlbnVtX2RlbnNlX2xheWVycyAtLWluaXQgJWluaXQgLS13ZWlnaHRfZGVjYXkgJXdlaWdodF9kZWNheQ==' --cpus_per_task=1 --nodes_per_job=1 --revert_to_random_when_seemingly_exhausted --model=BOTORCH_MODULAR --n_estimators_randomforest=100 --run_mode=local --occ_type=euclid --main_process_gb=8 --max_nr_of_zero_results=50 --slurm_signal_delay_s=0 --max_failed_jobs=0 --max_attempts_for_generation=20 --num_restarts=20 --raw_samples=1024 --max_abandoned_retrial=20 --max_num_of_parallel_sruns=16 --parameter epochs range 10 200 int false --parameter lr range 0.00001 0.1 float false --parameter batch_size range 8 2048 int false --parameter hidden_size range 8 2048 int false --parameter dropout range 0 0.5 float false --parameter activation fixed leaky_relu --parameter num_dense_layers range 1 4 int false --parameter init fixed normal --parameter weight_decay range 0 1 float false --ui_url 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
โ Disabling logging...
โ Setting run folder...
โ Creating folder /data/cat/ws/s3811141-test/omniopt/runs/mnist_gpu_noall/0...
โ Writing revert_to_random_when_seemingly_exhausted file ...
โ Writing username state file...
โ Writing result names file...
โ Writing result min/max file...
โ Saving state files...
Run-folder: /data/cat/ws/s3811141-test/omniopt/runs/mnist_gpu_noall/0
โ Printing run info...
โ Initializing NVIDIA-Logs...
โ Writing ui_url file if it is present...
โ Writing live_share file if it is present...
โ Writing job_start_time file...
โ Writing git info file...
โ Checking max_eval...
โ Calculating number of steps...
โ Adding excluded nodes...
โ Handling random steps...
โ Initializing ax_client...
[WARNING 07-31 17:14:51] ax.service.ax_client: Selecting a GenerationStrategy when using BatchTrials is in beta. Double check the recommended strategy matches your expectations.
โ Setting orchestrator...
You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100. Generation strategy: SOBOL for 20 steps and then BOTORCH_MODULAR for 480 steps.
Run-Program: python3 .tests/mnist/train --epochs %epochs --learning_rate %lr --batch_size %batch_size --hidden_size %hidden_size --dropout %dropout --activation %activation --num_dense_layers %num_dense_layers --init %init --weight_decay %weight_decay
Experiment parameters
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โ Name โ Type โ Lower bound โ Upper bound โ Values โ Type โ Log Scale? โ
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โ epochs โ range โ 10 โ 200 โ โ int โ No โ
โ lr โ range โ 1e-05 โ 0.1 โ โ float โ No โ
โ batch_size โ range โ 8 โ 2048 โ โ int โ No โ
โ hidden_size โ range โ 8 โ 2048 โ โ int โ No โ
โ dropout โ range โ 0 โ 0.5 โ โ float โ No โ
โ activation โ fixed โ โ โ leaky_relu โ โ โ
โ num_dense_layers โ range โ 1 โ 4 โ โ int โ No โ
โ init โ fixed โ โ โ normal โ โ โ
โ weight_decay โ range โ 0 โ 1 โ โ float โ No โ
โโโโโโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโโโโโโโ
Result-Names
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โ Result-Name โ Min or max? โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ VAL_ACC โ max โ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
See https://imageseg.scads.de/omniax/share?user_id=s3811141&experiment_name=mnist_gpu_noall&run_nr=0 for live-results.
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โโโย โย โโโโโโโโโโโโโโโโโโโโโย โย โโโโโโโ
โย โย ย โโโโโโย โโโโย ย โย โโโโย โโโโโย โโย ย โโ
โย ย ย ย โโโโโโย โโโโโโย โโย โโย โโโโโโโโโโย ย
โโโโโโโย โโย โโโย โโโโโย โย โโย โโโย โย โย ย โโ
โย โโโย โย โโโโโโโโโโย โโโโโย โโโโโโโโโโย โ
โย โโโย โย โย โย โย โโโย โย โโย ย ย โโโโโโโย ย โโโ
โโโโโโโย โโโย ย โย ย โย ย ย ย ย โย โโโย ย ย โโย โโโโ
Sobol, failed: 2 ('VAL_ACC: ' not found), running/completed 1/1โ2 (5%/20), eval #1/1 start : 0%|โโโโโโโโโโ| 0/500 [03:39, ?it/s]
Exit-Code 1, this means: There was an error regarding the python-syntax. Is your python-version too old? If you are on a slurm-system, this may mean that the job cannot be started, this can happen when you need a GPU but have not set one, or your home is full. Or you are on a cluster that needs jobs to allocate GPUs, but you have not allocated a GPU. Check stdout. May also happen when the job was cancelled due to CTRL-c, or when your virtual environment is outdated. Try deleting it, especially when you are running on a tested version. It usually is in ~/.omniax_... It may also be that your home is full and you tried to run an sbatch job.
Sobol, failed: 2 ('VAL_ACC: ' not found), cancelled by 2105408/completed/pending 1/1/1โ3 (5%/20), job_failed : 0%|โโโโโโโโโโ| 0/500 [04:10, ?it/s]
2025-07-31 17:15:11: SOBOL, Started OmniOpt2 run...
2025-07-31 17:15:20: Sobol, getting new HP set
2025-07-31 17:15:42: Sobol, requested 1 jobs, got 1, 23.00 s/job
2025-07-31 17:15:47: Sobol, eval #1/1 start
2025-07-31 17:15:51: Sobol, starting new job
2025-07-31 17:15:57: Sobol, unknown 1∑1 (5%/20), started new job
2025-07-31 17:16:01: Sobol, pending 1∑1 (5%/20), getting new HP set
2025-07-31 17:16:09: Sobol, pending 1∑1 (5%/20), requested 1 jobs, got 1, 8.64 s/job
2025-07-31 17:16:15: Sobol, pending 1∑1 (5%/20), eval #1/1 start
2025-07-31 17:16:19: Sobol, pending 1∑1 (5%/20), starting new job
2025-07-31 17:16:25: Sobol, running/unknown 1/1∑2 (10%/20), started new job
2025-07-31 17:16:29: Sobol, running/pending 1/1∑2 (10%/20), getting new HP set
2025-07-31 17:16:52: Sobol, running 2∑2 (10%/20), requested 1 jobs, got 1, 22.99 s/job
2025-07-31 17:16:56: Sobol, running 2∑2 (10%/20), eval #1/1 start
2025-07-31 17:17:01: Sobol, running 2∑2 (10%/20), starting new job
2025-07-31 17:17:08: Sobol, running/unknown 2/1∑3 (15%/20), started new job
2025-07-31 17:17:13: Sobol, running/pending 2/1∑3 (15%/20), getting new HP set
2025-07-31 17:17:22: Sobol, running 3∑3 (15%/20), requested 1 jobs, got 1, 8.99 s/job
2025-07-31 17:17:26: Sobol, running 3∑3 (15%/20), eval #1/1 start
2025-07-31 17:17:44: Sobol, completed/running 2/1∑3 (5%/20), starting new job
2025-07-31 17:17:50: Sobol, completed/running/unknown 2/1/1∑4 (10%/20), started new job
2025-07-31 17:17:55: Sobol, completed/running/pending 2/1/1∑4 (10%/20), job_failed
2025-07-31 17:17:55: Sobol, completed/running/pending 2/1/1∑4 (10%/20), job_failed
2025-07-31 17:18:06: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), running/pending 1/1∑2 (10%/20), finishing jobs (_get_next_trials), finished 2 jobs
2025-07-31 17:18:10: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), running/pending 1/1∑2 (10%/20), getting new HP set
2025-07-31 17:18:46: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), running/completed 1/1∑2 (5%/20), requested 1 jobs, got 1, 34.79 s/job
2025-07-31 17:18:51: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), running/completed 1/1∑2 (5%/20), eval #1/1 start
2025-07-31 17:19:11: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), running/completed 1/1∑2 (0%/20), starting new job
2025-07-31 17:19:17: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), cancelled by 2105408/completed/unknown 1/1/1∑3 (5%/20), started new job
2025-07-31 17:19:22: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), cancelled by 2105408/completed/pending 1/1/1∑3 (5%/20), job_failed
timestamp,ram_usage_mb,cpu_usage_percent
1753974905,712.984375,5.7
1753974911,713.484375,5.7
1753974915,713.484375,6.0
1753974915,713.484375,14.3
1753974915,713.484375,7.2
1753974915,713.484375,6.6
1753974915,713.484375,9.1