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p-doom
/
crowd-code-0.1

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#!/usr/bin/env bash\r\n\r\n#SBATCH --nodes=1\r\n#SBATCH --ntasks-per-node=1\r\n#SBATCH --time=02:00:00\r\n#SBATCH --partition=cpuonly\r\n#SBATCH --account=hk-project-p0023960\r\n#SBATCH --output=logs/logs_preprocessing/%x_%j.log\r\n#SBATCH --error=logs/logs_preprocessing/%x_%j.log\r\n#SBATCH --mail-user=avocadoaling@gmail.com\r\n#SBATCH --job-name=npy_to_tfrecord_7xx\r\n#SBATCH --mail-type=ALL\r\n#!/usr/bin/env bash\r\n# Log the sbatch script\r\ncat $0\r\n\r\nsource .venv_jafar/bin/activate\r\n\r\ninput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_npy/7xx/10fps_160x90"\r\noutput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_tfrecord/7xx"\r\n\r\nstart_time=$(date +%s) \r\npython utils/preprocess_dataset.py --source_data_dir $input_path --output_tfrecords_dir $output_path --num_shards 100\r\nend_time=$(date +%s)\r\necho "Time taken: $((end_time - start_time)) seconds"\r\n2025-06-25 10:56:06.332176: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\r\n2025-06-25 10:56:07.262424: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\r\nWARNING: All log messages before absl::InitializeLog() is called are written to STDERR\r\nE0000 00:00:1750841767.511119 3221520 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\r\nE0000 00:00:1750841767.547736 3221520 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\r\nW0000 00:00:1750841767.922807 3221520 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\r\nW0000 00:00:1750841767.922841 3221520 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\r\nW0000 00:00:1750841767.922846 3221520 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\r\nW0000 00:00:1750841767.922850 3221520 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\r\n2025-06-25 10:56:07.928143: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\r\nTo enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\r\nINFO:root:Preparing to write 14769 episodes to 100 TFRecord shards in /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_tfrecord/7xx...\r\n\r\nProcessing episodes: 0%| | 0/14769 [00:00<?, ?it/s]2025-06-25 10:56:31.561652: E external/local_xla/xla/stream_executor/cuda/cuda_platform.cc:51] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)\r\n\r\nProcessing episodes: 0%| | 1/14769 [00:00<2:08:46, 1.91it/s]\r\nProcessing episodes: 0%| | 2/14769 [00:00<1:59:15, 2.06it/s]\r\nProcessing episodes: 0%| | 3/14769 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TERMINAL
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sbatch sbatch_scripts/preprocess/npy_to_tfrecord_6xx.sbatch
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]633;E;2025-06-25 11:01:33 sbatch sbatch_scripts/preprocess/npy_to_tfrecord_6xx.sbatch;a9a4de27-e0e0-4f7a-a81f-6ae3e98df676]633;CSubmitted batch job 3290255\r\n]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0
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fsacct_week ^C
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^C[?2004l\r[?2004h[?2004l\r\r\n]633;E;;a9a4de27-e0e0-4f7a-a81f-6ae3e98df676]633;C]0;tum_ind3695@hkn1993:~/projects/jafar]633;D
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]633;E;2025-06-25 11:01:38 squeue;a9a4de27-e0e0-4f7a-a81f-6ae3e98df676]633;C JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\r\n 3289577 accelerat train_dy tum_ind3 R 15:25:02 1 hkn0712\r\n 3290241 cpuonly mp4_to_n tum_ind3 R 0:00 1 hkn0364\r\n 3290255 cpuonly npy_to_t tum_ind3 R 0:00 1 hkn1159\r\n 3290235 cpuonly npy_to_t tum_ind3 R 6:01 1 hkn0138\r\n]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0
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sbatch sbatch_scripts/preprocess/npy_to_tfrecord_6xx.sbatch^C
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]633;E;2025-06-25 11:01:44 fqueue;a9a4de27-e0e0-4f7a-a81f-6ae3e98df676]633;C JOBID PARTITION NAME USER STATE TIME TIME_LIMI NODES NODELIST(REASON)\r\n 3289577 accelerated train_dyn_overfit_tfrecord_10 tum_ind3 RUNNING 15:25:08 1-00:00:00 1 hkn0712\r\n 3290241 cpuonly mp4_to_npy_openai_all tum_ind3 RUNNING 0:06 12:00:00 1 hkn0364\r\n 3290255 cpuonly npy_to_tfrecord_6xx tum_ind3 RUNNING 0:06 3:00:00 1 hkn1159\r\n 3290235 cpuonly npy_to_tfrecord_7xx tum_ind3 RUNNING 6:07 2:00:00 1 hkn0138\r\n]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0
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sbatch sbatch_scripts/preprocess/npy_to_tfrecord_8xx.sbatch
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sbatch sbatch_scripts/preprocess/npy_to_tfrecord_9xx.sbatch
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]633;E;2025-06-25 11:01:57 sbatch sbatch_scripts/preprocess/npy_to_tfrecord_9xx.sbatch;a9a4de27-e0e0-4f7a-a81f-6ae3e98df676]633;CSubmitted batch job 3290257\r\n]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0
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sbatch sbatch_scripts/preprocess/npy_to_tfrecord_10xx.sbatch
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]633;E;2025-06-25 11:02:00 sbatch sbatch_scripts/preprocess/npy_to_tfrecord_10xx.sbatch;a9a4de27-e0e0-4f7a-a81f-6ae3e98df676]633;CSubmitted batch job 3290258\r\n]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0
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