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JobID JobName Partition All State Elapsed Timelimit \r\n--------------- ------------------------------ ---------------- --- ------------ ---------- ---------- \r\n 3273476 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:01:06 00:10:00 \r\n 3273480 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:00:32 00:10:00 \r\n 3273494 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:01:40 00:10:00 \r\n 3273503 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 00:10:16 00:10:00 \r\n 3273681 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 00:10:17 00:10:00 \r\n 3273687 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 00:10:16 00:10:00 \r\n 3273795 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 00:10:17 00:10:00 \r\n 3273820 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:00:31 00:15:00 \r\n 3273828 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 1-00:00:10 1-00:00:00 \r\n 3273829 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 1-00:00:10 1-00:00:00 \r\n 3273831 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 12:00:29 12:00:00 \r\n 3273841 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:01:13 12:00:00 \r\n 3273846 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 12:00:28 12:00:00 \r\n 3274766 train_lam_ful_tfrecord accelerated 32 TIMEOUT 00:10:02 00:10:00 \r\n 3276030 train_tokenizer_overfit_seedi+ accelerated 8 FAILED 00:01:35 00:10:00 \r\n 3276039 train_tokenizer_overfit_seedi+ accelerated 8 FAILED 00:00:56 00:10:00 \r\n 3276048 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 00:10:03 00:10:00 \r\n 3276051 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 00:30:01 00:30:00 \r\n 3276052 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 01:00:02 01:00:00 \r\n 3276053 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 01:00:02 01:00:00 \r\n 3276058 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 01:00:03 01:00:00 \r\n 3276715 train_lam_ful_tfrecord accelerated 32 TIMEOUT 00:10:13 00:10:00 \r\n 3277318 train_lam_ful_tfrecord accelerated 32 TIMEOUT 16:00:27 16:00:00 \r\n 3282472 train_dyn_knoms_full-test accelerated 32 TIMEOUT 00:10:24 00:10:00 \r\n 3282485 train_dyn_knoms_full accelerated 32 FAILED 00:00:27 1-00:00:00 \r\n 3282489 train_dyn_knoms_full accelerated 32 TIMEOUT 1-00:00:27 1-00:00:00 \r\n 3285784 train_tokenizer_overfit_tfrec+ accelerated 32 FAILED 00:00:28 00:10:00 \r\n 3285785 train_lam_overfit_tfrecord_10 accelerated 32 FAILED 00:00:32 00:10:00 \r\n 3285797 train_lam_overfit_tfrecord_10 accelerated 32 FAILED 00:00:28 00:10:00 \r\n 3285798 train_tokenizer_overfit_tfrec+ accelerated 32 FAILED 00:00:27 00:10:00 \r\n 3285811 train_tokenizer_overfit_tfrec+ accelerated 32 TIMEOUT 00:10:07 00:10:00 \r\n 3285820 train_lam_overfit_tfrecord_10 accelerated 32 TIMEOUT 00:10:06 00:10:00 \r\n 3286113 train_lam_overfit_tfrecord_10 accelerated 32 TIMEOUT 1-00:00:09 1-00:00:00 \r\n 3286114 train_tokenizer_overfit_tfrec+ accelerated 32 TIMEOUT 1-00:00:09 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COMPLETED 01:25:46 06:00:00 \r\n 3289242 preprocess_video_to_npy_opena+ cpuonly 152 COMPLETED 00:00:32 00:10:00 \r\n 3289247 preprocess_video_to_npy_opena+ cpuonly 152 COMPLETED 00:00:33 00:10:00 \r\n 3289322 preprocess_video_to_npy_opena+ cpuonly 152 TIMEOUT 00:10:20 00:10:00 \r\n 3289376 preprocess_video_to_npy_opena+ cpuonly 152 TIMEOUT 00:10:17 00:10:00 \r\n 3289389 preprocess_video_to_npy_opena+ cpuonly 152 COMPLETED 00:00:33 00:10:00 \r\n 3289394 preprocess_video_to_npy_opena+ cpuonly 152 COMPLETED 00:03:42 00:10:00 \r\n 3289433 preprocess_video_to_npy_opena+ cpuonly 152 TIMEOUT 00:10:16 00:10:00 \r\n 3289439 mp4_to_npy_openai_first_try_8+ cpuonly 152 COMPLETED 00:08:49 00:10:00 \r\n 3289469 mp4_to_npy_openai_first_try_6+ cpuonly 152 COMPLETED 00:18:29 01:00:00 \r\n 3289483 mp4_to_npy_openai_first_try_7+ cpuonly 152 COMPLETED 00:48:15 01:00:00 \r\n 3289484 mp4_to_npy_openai_first_try_8+ cpuonly 152 COMPLETED 00:08:43 01:00:00 \r\n 3289485 mp4_to_npy_openai_first_try_9+ cpuonly 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JobID JobName Partition All State Elapsed Timelimit \r\n--------------- ------------------------------ ---------------- --- ------------ ---------- ---------- \r\n 3273476 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:01:06 00:10:00 \r\n 3273480 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:00:32 00:10:00 \r\n 3273494 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:01:40 00:10:00 \r\n 3273503 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 00:10:16 00:10:00 \r\n 3273681 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 00:10:17 00:10:00 \r\n 3273687 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 00:10:16 00:10:00 \r\n 3273795 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 00:10:17 00:10:00 \r\n 3273820 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:00:31 00:15:00 \r\n 3273828 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 1-00:00:10 1-00:00:00 \r\n 3273829 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 1-00:00:10 1-00:00:00 \r\n 3273831 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 12:00:29 12:00:00 \r\n 3273841 train_tokenizer_knoms_overfit+ accelerated 32 FAILED 00:01:13 12:00:00 \r\n 3273846 train_tokenizer_knoms_overfit+ accelerated 32 TIMEOUT 12:00:28 12:00:00 \r\n 3274766 train_lam_ful_tfrecord accelerated 32 TIMEOUT 00:10:02 00:10:00 \r\n 3276030 train_tokenizer_overfit_seedi+ accelerated 8 FAILED 00:01:35 00:10:00 \r\n 3276039 train_tokenizer_overfit_seedi+ accelerated 8 FAILED 00:00:56 00:10:00 \r\n 3276048 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 00:10:03 00:10:00 \r\n 3276051 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 00:30:01 00:30:00 \r\n 3276052 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 01:00:02 01:00:00 \r\n 3276053 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 01:00:02 01:00:00 \r\n 3276058 train_tokenizer_overfit_seedi+ accelerated 8 TIMEOUT 01:00:03 01:00:00 \r\n 3276715 train_lam_ful_tfrecord accelerated 32 TIMEOUT 00:10:13 00:10:00 \r\n 3277318 train_lam_ful_tfrecord accelerated 32 TIMEOUT 16:00:27 16:00:00 \r\n 3282472 train_dyn_knoms_full-test accelerated 32 TIMEOUT 00:10:24 00:10:00 \r\n 3282485 train_dyn_knoms_full accelerated 32 FAILED 00:00:27 1-00:00:00 \r\n 3282489 train_dyn_knoms_full accelerated 32 TIMEOUT 1-00:00:27 1-00:00:00 \r\n 3285784 train_tokenizer_overfit_tfrec+ accelerated 32 FAILED 00:00:28 00:10:00 \r\n 3285785 train_lam_overfit_tfrecord_10 accelerated 32 FAILED 00:00:32 00:10:00 \r\n 3285797 train_lam_overfit_tfrecord_10 accelerated 32 FAILED 00:00:28 00:10:00 \r\n 3285798 train_tokenizer_overfit_tfrec+ accelerated 32 FAILED 00:00:27 00:10:00 \r\n 3285811 train_tokenizer_overfit_tfrec+ accelerated 32 TIMEOUT 00:10:07 00:10:00 \r\n 3285820 train_lam_overfit_tfrecord_10 accelerated 32 TIMEOUT 00:10:06 00:10:00 \r\n 3286113 train_lam_overfit_tfrecord_10 accelerated 32 TIMEOUT 1-00:00:09 1-00:00:00 \r\n 3286114 train_tokenizer_overfit_tfrec+ accelerated 32 TIMEOUT 1-00:00:09 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[?1049h[22;0;0t[1;106r(B[m[4l[?7h[H[2JEvery 1.0s: squeue --me[1;187Hhkn1993.localdomain: Wed Jun 25 10:58:07 2025[3;14HJOBID PARTITION NAME USER ST\tTIME NODES NODELIST(REASON)[4;12H3289577 accelerat train_dy tum_ind3 R 15:21:31\t 1 hkn0712[5;12H3290235 cpuonly npy_to_t tum_ind3 R\t2:30\t 1 hkn0138[106;231H
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#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=00:10:00\n#SBATCH --partition=cpuonly\n#SBATCH --account=hk-project-p0023960\n#SBATCH --output=logs/logs_preprocessing/%x_%j.log\n#SBATCH --error=logs/logs_preprocessing/%x_%j.log\n#SBATCH --mail-user=avocadoaling@gmail.com\n#SBATCH --job-name=mp4_to_npy_openai_all\n#SBATCH --mail-type=ALL\n\ncat $0\n\nsource .venv_jafar/bin/activate\n\ninput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft/"\noutput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_npy/"\n\nstart_time=$(date +%s) \npython utils/preprocess_video_to_npy.py --input_path $input_path --output_path $output_path\nend_time=$(date +%s)\necho "Time taken: $((end_time - start_time)) seconds"\n\n\n/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_npy//10fps_160x90\nNumber of processes: 152\nConverting mp4 to npy files...\nslurmstepd: error: *** JOB 3290234 ON hkn0364 CANCELLED AT 2025-06-25T10:57:43 DUE TO TIME LIMIT ***\n\n============================= JOB FEEDBACK =============================\n\nJob ID: 3290234\nCluster: hk\nUser/Group: tum_ind3695/hk-project-pai00039\nAccount: hk-project-p0023960\nState: TIMEOUT (exit code 0)\nPartition: cpuonly\nNodes: 1\nCores per node: 152\nNodelist: hkn0364\nCPU Utilized: 01:05:48\nCPU Efficiency: 4.29% of 1-01:35:12 core-walltime\nJob Wall-clock time: 00:10:06\nStarttime: Wed Jun 25 10:47:37 2025\nEndtime: Wed Jun 25 10:57:43 2025\nMemory Utilized: 26.06 GB\nMemory Efficiency: 11.15% of 233.79 GB\nEnergy Consumed: 381371 Joule / 105.936388888889 Watthours\nAverage node power draw: 629.325082508251 Watt\n
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