[tab] logs/logs_preprocessing/npy_to_tfrecord_open_ai_3328929.log (log)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=12:00:00
#SBATCH --partition=cpuonly
#SBATCH --account=hk-project-p0023960
#SBATCH --output=logs/logs_preprocessing/%x_%j.log
#SBATCH --error=logs/logs_preprocessing/%x_%j.log
#SBATCH --mail-user=avocadoaling@gmail.com
#SBATCH --job-name=npy_to_tfrecord_open_ai
#SBATCH --mail-type=ALL

# Log the sbatch script
cat $0

# source .venv_jafar/bin/activate

# input_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_npy/10fps_160x90"
input_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_new/open_ai_minecraft_npy"
output_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_new/open_ai_minecraft_tfrecord_uncurrupted/"

mkdir -p $output_path

start_time=$(date +%s)  
python utils/preprocess_dataset.py --source_data_dir $input_path --output_tfrecords_dir $output_path --num_shards 500
end_time=$(date +%s)
echo "Time taken: $((end_time - start_time)) seconds"
2025-07-08 10:56:21.056131: 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`.
2025-07-08 10:56:21.190589: 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
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1751964981.244528 2786836 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1751964981.254913 2786836 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1751964981.317138 2786836 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1751964981.317171 2786836 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1751964981.317177 2786836 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1751964981.317181 2786836 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-07-08 10:56:21.322289: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
INFO:root:Preparing to write 53460 episodes to 500 TFRecord shards in /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_new/open_ai_minecraft_tfrecord_uncurrupted...

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============================= JOB FEEDBACK =============================

Job ID: 3328929
Cluster: hk
User/Group: tum_cte0515/hk-project-p0023960
Account: hk-project-p0023960
State: CANCELLED (exit code 0)
Partition: cpuonly
Nodes: 1
Cores per node: 152
Nodelist: hkn1062
CPU Utilized: 00:00:00
CPU Efficiency: 0.00% of 2-10:54:00 core-walltime
Job Wall-clock time: 00:23:15
Starttime: Tue Jul  8 10:55:51 2025
Endtime: Tue Jul  8 11:19:06 2025
Memory Utilized: 1.21 GB
Memory Efficiency: 0.52% of 233.79 GB
Energy Consumed: 401181 Joule / 111.439166666667 Watthours
Average node power draw: 287.584946236559 Watt