Datasets:
p-doom
/
crowd-code-0.1

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cd logs/logs_logs_sample/ logs_training_dyn/ logs_training_lam/ logs_training_tokenizer/ (.venv_jafar) [tum_ind3695@hkn1993 jafar_dyn]$ cd logs/logs_logs_sample/ logs_training_dyn/ logs_training_lam/ logs_training_tokenizer/ (.venv_jafar) [tum_ind3695@hkn1993 jafar_dyn]$ cd logs/logs_training_tokenizer/
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]633;E;2025-06-26 21:08:49 cd logs/logs_training_tokenizer/;477fd18a-b71b-4901-88d4-4122e769427c]633;C]0;tum_ind3695@hkn1993:~/projects/jafar_dyn/logs/logs_training_tokenizer]633;D;0
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train_tokenizer_coinrun_3292019.log train_tokenizer_coinrun_3292119.log train_tokenizer_coinrun_3292139.log train_tokenizer_coinrun_3292207.log train_tokenizer_coinrun_3292307.log\r\n]0;tum_ind3695@hkn1993:~/projects/jafar_dyn/logs/logs_training_tokenizer]633;D;0
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JobID JobName Partition All State Elapsed Timelimit \r\n--------------- ------------------------------ ---------------- --- ------------ ---------- ---------- \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 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 1-00:00:00 \r\n 3286195 train_dyn_knoms_full_nodes_2 accelerated 64 TIMEOUT 00:10:26 00:10:00 \r\n 3287192 download_7xx accelerated 32 FAILED 00:00:27 00:10:00 \r\n 3287194 download_7xx accelerated 32 FAILED 00:00:26 00:10:00 \r\n 3287195 download_7xx accelerated 32 FAILED 00:00:26 00:10:00 \r\n 3287198 download_6xx accelerated 32 TIMEOUT 00:10:18 00:10:00 \r\n 3287213 download_6xx cpuonly 152 COMPLETED 01:44:02 06:00:00 \r\n 3287214 download_7xx cpuonly 152 COMPLETED 04:27:48 06:00:00 \r\n 3287215 download_8xx cpuonly 152 COMPLETED 01:07:53 06:00:00 \r\n 3287216 download_9xx cpuonly 152 COMPLETED 02:11:44 06:00:00 \r\n 3287217 download_10xx cpuonly 152 COMPLETED 01:10:01 06:00:00 \r\n 3289199 download_6xx cpuonly 152 COMPLETED 03:05:47 06:00:00 \r\n 3289204 download_7xx cpuonly 152 COMPLETED 05:07:25 06:00:00 \r\n 3289205 download_8xx cpuonly 152 COMPLETED 01:27:47 06:00:00 \r\n 3289206 download_9xx cpuonly 152 COMPLETED 02:27:37 06:00:00 \r\n 3289207 download_10xx cpuonly 152 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 152 COMPLETED 00:32:34 01:00:00 \r\n 3289486 mp4_to_npy_openai_first_try_1+ cpuonly 152 COMPLETED 00:08:10 01:00:00 \r\n 3289548 train_dyn_overfit_tfrecord_10 accelerated 32 TIMEOUT 00:10:17 00:10:00 \r\n 3289577 train_dyn_overfit_tfrecord_10 accelerated 32 TIMEOUT 1-00:00:18 1-00:00:00 \r\n 3290215 npy_to_tfrecord_6xx cpuonly 152 COMPLETED 00:01:01 00:10:00 \r\n 3290230 npy_to_tfrecord_6xx cpuonly 152 TIMEOUT 00:10:06 00:10:00 \r\n 3290234 mp4_to_npy_openai_all cpuonly 152 TIMEOUT 00:10:06 00:10:00 \r\n 3290235 npy_to_tfrecord_7xx cpuonly 152 COMPLETED 01:45:34 02:00:00 \r\n 3290241 mp4_to_npy_openai_all cpuonly 152 COMPLETED 01:23:07 12:00:00 \r\n 3290255 npy_to_tfrecord_6xx cpuonly 152 COMPLETED 01:01:32 03:00:00 \r\n 3290256 npy_to_tfrecord_8xx cpuonly 152 COMPLETED 00:27:07 03:00:00 \r\n 3290257 npy_to_tfrecord_9xx cpuonly 152 COMPLETED 00:48:28 03:00:00 \r\n 3290258 npy_to_tfrecord_10xx cpuonly 152 COMPLETED 00:27:30 03:00:00 \r\n 3292019 train_tokenizer_coinrun accelerated 32 FAILED 00:00:28 06:00:00 \r\n 3292064 sample_knoms_overfit_10 accelerated 32 FAILED 00:00:59 00:45:00 \r\n 3292098 sample_knoms_overfit_10 accelerated 8 FAILED 00:01:43 00:45:00 \r\n 3292119 train_tokenizer_coinrun accelerated 32 FAILED 00:00:27 06:00:00 \r\n 3292139 train_tokenizer_coinrun accelerated 8 FAILED 00:03:24 00:10:00 \r\n 3292156 train_lam_6 accelerated 32 FAILED 00:01:06 00:10:00 \r\n 3292206 train_lam_6 accelerated 32 TIMEOUT 00:10:29 00:10:00 \r\n 3292207 train_tokenizer_coinrun accelerated 32 TIMEOUT 00:10:29 00:10:00 \r\n 3292225 sample_knoms accelerated 8 FAILED 00:01:42 00:15:00 \r\n 3292255 train_lam_6 accelerated 32 TIMEOUT 00:10:14 00:10:00 \r\n 3292297 sample_knoms accelerated 32 FAILED 00:10:53 00:15:00 \r\n 3292306 train_lam_6 accelerated 32 COMPLETED 20:49:25 1-00:00:00 \r\n 3292307 train_tokenizer_coinrun accelerated 8 FAILED 00:03:29 1-00:00:00 \r\n 3292310 train_lam_12 accelerated 32 COMPLETED 19:48:25 1-00:00:00 \r\n 3292313 train_lam_24 accelerated 32 COMPLETED 19:52:37 1-00:00:00 \r\n 3292314 train_lam_48 accelerated 32 COMPLETED 19:48:39 1-00:00:00 \r\n 3293311 npy_to_tfrecord_open_ai cpuonly 152 COMPLETED 05:38:28 12:00:00 \r\n]0;tum_ind3695@hkn1993:~/projects/jafar_dyn/logs/logs_training_tokenizer]633;D;0
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]633;E;2025-06-26 21:09:22 ls;477fd18a-b71b-4901-88d4-4122e769427c]633;Ctrain_tokenizer_coinrun_3292019.log train_tokenizer_coinrun_3292119.log train_tokenizer_coinrun_3292139.log train_tokenizer_coinrun_3292207.log train_tokenizer_coinrun_3292307.log\r\n]0;tum_ind3695@hkn1993:~/projects/jafar_dyn/logs/logs_training_tokenizer]633;D;0
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#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=24:00:00\n#SBATCH --partition=accelerated\n#SBATCH --account=hk-project-p0023960\n#SBATCH --cpus-per-task=8\n#SBATCH --gres=gpu:4\n#SBATCH --output=logs/logs_training_tokenizer/%x_%j.log\n#SBATCH --error=logs/logs_training_tokenizer/%x_%j.log\n#SBATCH --mail-user=avocadoaling@gmail.com\n#SBATCH --job-name=train_tokenizer_coinrun\n#SBATCH --mail-type=ALL\n\n# Log the sbatch script\ncat $0\n\nmodule unload mpi/openmpi/5.0\nmodule unload devel/cuda/12.4\nsource .venv_jafar/bin/activate\n\njob_name=$SLURM_JOB_NAME\nslurm_job_id=$SLURM_JOB_ID\n\nws_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared'\n\nCHECKPOINT_DIR=$ws_dir/data/checkpoints/$job_name_$slurm_job_id\nLOG_DIR=$ws_dir/logs/$job_name_$slurm_job_id\nmkdir -p $CHECKPOINT_DIR\nmkdir -p $LOG_DIR\n\ndata_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/coinrun/coinrun_tfrecords'\n\nsrun python train_tokenizer.py \\n --batch_size=192 \\n --experiment_name $job_name \\n --ckpt_dir $CHECKPOINT_DIR \\n --log_checkpoint_interval=1000 \\n --log_image_interval=10 \\n --image_height 64 \\n --image_width 64 \\n --log \\n --entity instant-uv \\n --data_dir $data_dir \\n --project jafar\nGpuFreq=control_disabled\n2025-06-25 19:08:17.627289: 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\nWARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nE0000 00:00:1750871297.723938 1200206 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\nE0000 00:00:1750871297.736182 1200206 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\nW0000 00:00:1750871297.919551 1200206 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nW0000 00:00:1750871297.919575 1200206 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nW0000 00:00:1750871297.919577 1200206 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nW0000 00:00:1750871297.919578 1200206 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nwandb: Currently logged in as: avocadoali (instant-uv) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin\nwandb: Tracking run with wandb version 0.19.11\nwandb: Run data is saved locally in /hkfs/home/project/hk-project-pai00039/tum_ind3695/projects/jafar_dyn/wandb/run-20250625_190836-a7d8lqo4\nwandb: Run `wandb offline` to turn off syncing.\nwandb: Syncing run train_tokenizer_coinrun\nwandb: ⭐️ View project at https://wandb.ai/instant-uv/jafar\nwandb: 🚀 View run at https://wandb.ai/instant-uv/jafar/runs/a7d8lqo4\nW0000 00:00:1750871345.670879 1200206 gpu_device.cc:2341] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\nSkipping registering GPU devices...\n2025-06-25 19:10:34.248330: W external/xla/xla/hlo/transforms/simplifiers/hlo_rematerialization.cc:3022] Can't reduce memory use below 27.07GiB (29061856030 bytes) by rematerialization; only reduced to 55.73GiB (59841661312 bytes), down from 66.61GiB (71521158716 bytes) originally\n2025-06-25 19:11:00.916184: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_0_bfc) ran out of memory trying to allocate 55.19GiB (rounded to 59262521088)requested by op \n2025-06-25 19:11:00.917792: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] ****________________________________________________________________________________________________\nE0625 19:11:00.918054 1200206 pjrt_stream_executor_client.cc:2917] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 59262520888 bytes. [tf-allocator-allocation-error='']\nRunning on 1 devices.\nStarting training from step 0...\njax.errors.SimplifiedTraceback: For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File "/hkfs/home/project/hk-project-pai00039/tum_ind3695/projects/jafar_dyn/train_tokenizer.py", line 224, in <module>\n train_state, loss, recon, metrics = train_step(train_state, inputs)\njaxlib._jax.XlaRuntimeError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 59262520888 bytes.\njax.errors.SimplifiedTraceback: For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File "/hkfs/home/project/hk-project-pai00039/tum_ind3695/projects/jafar_dyn/train_tokenizer.py", line 224, in <module>\n train_state, loss, recon, metrics = train_step(train_state, inputs)\njaxlib._jax.XlaRuntimeError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 59262520888 bytes.\nwandb: \nwandb: 🚀 View run train_tokenizer_coinrun at: https://wandb.ai/instant-uv/jafar/runs/a7d8lqo4\nwandb: Find logs at: ../../../../../hkfs/home/project/hk-project-pai00039/tum_ind3695/projects/jafar_dyn/wandb/run-20250625_190836-a7d8lqo4/logs\nsrun: error: hkn0729: task 0: Exited with exit code 1\n\n============================= JOB FEEDBACK =============================\n\nJob ID: 3292307\nCluster: hk\nUser/Group: tum_ind3695/hk-project-pai00039\nAccount: hk-project-p0023960\nState: FAILED (exit code 1)\nPartition: accelerated\nNodes: 1\nCores per node: 8\nNodelist: hkn0729\nCPU Utilized: 00:06:52\nCPU Efficiency: 24.64% of 00:27:52 core-walltime\nJob Wall-clock time: 00:03:29\nStarttime: Wed Jun 25 19:07:36 2025\nEndtime: Wed Jun 25 19:11:05 2025\nMemory Utilized: 7.94 GB\nMemory Efficiency: 0.00% of 0.00 MB\nEnergy Consumed: 114393 Joule / 31.7758333333333 Watthours\nAverage node power draw: 547.334928229665 Watt\n
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jax.errors.SimplifiedTraceback: For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\n
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]633;E;2025-06-26 21:10:25 cd ../jafar_dyn/;d1784359-9922-4aee-ab7e-c1597e2b36f3]633;C]0;tum_ind3695@hkn1993:~/projects/jafar_dyn]633;D;0
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cd sbatch_scripts/coinrun/latent_action_ablation/
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]633;E;2025-06-26 21:10:42 cd sbatch_scripts/coinrun/latent_action_ablation/;d1784359-9922-4aee-ab7e-c1597e2b36f3]633;C]0;tum_ind3695@hkn1993:~/projects/jafar_dyn/sbatch_scripts/coinrun/latent_action_ablation]633;D;0
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#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=24:00:00\n#SBATCH --partition=accelerated\n#SBATCH --account=hk-project-p0023960\n#SBATCH --cpus-per-task=8\n#SBATCH --gres=gpu:4\n#SBATCH --output=logs/logs_training_tokenizer/%x_%j.log\n#SBATCH --error=logs/logs_training_tokenizer/%x_%j.log\n#SBATCH --mail-user=avocadoaling@gmail.com\n#SBATCH --job-name=train_tokenizer_coinrun\n#SBATCH --mail-type=ALL\n\n# Log the sbatch script\ncat $0\n\nmodule unload mpi/openmpi/5.0\nmodule unload devel/cuda/12.4\nsource .venv_jafar/bin/activate\n\njob_name=$SLURM_JOB_NAME\nslurm_job_id=$SLURM_JOB_ID\n\nws_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared'\n\nCHECKPOINT_DIR=$ws_dir/data/checkpoints/$job_name_$slurm_job_id\nLOG_DIR=$ws_dir/logs/$job_name_$slurm_job_id\nmkdir -p $CHECKPOINT_DIR\nmkdir -p $LOG_DIR\n\ndata_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/coinrun/coinrun_tfrecords'\n\nsrun python train_tokenizer.py \\n --batch_size=192 \\n --experiment_name $job_name \\n --ckpt_dir $CHECKPOINT_DIR \\n --log_checkpoint_interval=1000 \\n --log_image_interval=10 \\n --image_height 64 \\n --image_width 64 \\n --log \\n --entity instant-uv \\n --data_dir $data_dir \\n --project jafar\n
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