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⌀ | Language
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401
| 504,293
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slurm/common/default_gpu.sbatch
| 265
| 0
| null |
shellscript
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selection_command
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402
| 504,437
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slurm/common/default_gpu.sbatch
| 296
| 0
| null |
shellscript
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selection_command
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403
| 504,609
|
slurm/common/default_gpu.sbatch
| 339
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| null |
shellscript
|
selection_command
|
404
| 505,225
|
slurm/common/default_cpu.sbatch
| 0
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shellscript
|
tab
|
405
| 507,334
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slurm/common/env_setup.sh
| 0
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shellscript
|
tab
|
406
| 511,462
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slurm/common/default_cpu.sbatch
| 0
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| null |
shellscript
|
tab
|
407
| 521,773
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slurm/README.md
| 0
| 0
| null |
markdown
|
tab
|
408
| 524,490
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slurm/README.md
| 165
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markdown
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selection_mouse
|
409
| 530,636
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sbatch_scripts/preprocess/mp4_to_npy_open_ai.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=12:00:00\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
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shellscript
|
tab
|
410
| 538,099
|
slurm/jobs/mp4_to_npy_open_ai.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=12:00:00\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
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shellscript
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tab
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411
| 540,354
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sbatch_scripts/train_lam/train_lam_full.sbatch
| 0
| 0
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#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=4\n#SBATCH --time=16:00:00\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_lam/%x_%j.log\n#SBATCH --error=logs/logs_training_lam/%x_%j.log\n#SBATCH --mail-user=avocadoaling@gmail.com\n#SBATCH --job-name=train_lam_ful_tfrecord\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=$SLURM_JOB_ID\n\nCHECKPOINT_DIR=$ws_dir/checkpoints/lam/$job_name_$slurm_job_id\nmkdir -p $CHECKPOINT_DIR\n\ndata_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'\n\nsrun python train_lam.py \\n --ckpt_dir $CHECKPOINT_DIR \\n --batch_size=48 \\n --log_checkpoint_interval=500 \\n --log_image_interval=50 \\n --seed=0 \\n --min_lr=0.0000866 \\n --max_lr=0.0000866 \\n --log \\n --entity instant-uv \\n --data_dir $data_dir \\n --project jafar\n\n
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shellscript
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tab
|
412
| 543,762
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slurm/jobs/train_lam_full.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=4\n#SBATCH --time=16:00:00\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_lam/%x_%j.log\n#SBATCH --error=logs/logs_training_lam/%x_%j.log\n#SBATCH --mail-user=avocadoaling@gmail.com\n#SBATCH --job-name=train_lam_ful_tfrecord\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=$SLURM_JOB_ID\n\nCHECKPOINT_DIR=$ws_dir/checkpoints/lam/$job_name_$slurm_job_id\nmkdir -p $CHECKPOINT_DIR\n\ndata_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'\n\nsrun python train_lam.py \\n --ckpt_dir $CHECKPOINT_DIR \\n --batch_size=48 \\n --log_checkpoint_interval=500 \\n --log_image_interval=50 \\n --seed=0 \\n --min_lr=0.0000866 \\n --max_lr=0.0000866 \\n --log \\n --entity instant-uv \\n --data_dir $data_dir \\n --project jafar\n\n
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tab
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413
| 547,102
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sbatch_scripts/train_tokenizer/train_tokenizer_knoms_overfit_tfrecord_full.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=4\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_knoms_overfit_tfrecord_full\n#SBATCH --mail-type=ALL\n\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=$SLURM_JOB_ID\n\nCHECKPOINT_DIR=$ws_dir/data/checkpoints/$job_name_$slurm_job_id\nmkdir -p $CHECKPOINT_DIR\n\n\ndata_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'\n\nsrun python train_tokenizer.py \\n --ckpt_dir $CHECKPOINT_DIR \\n --batch_size=48 \\n --num_steps=300000 \\n --warmup_steps=10000 \\n --log_checkpoint_interval=500 \\n --seed=0 \\n --min_lr=0.0000866 \\n --max_lr=0.0000866 \\n --log_image_interval=100 \\n --log \\n --entity instant-uv \\n --data_dir $data_dir \\n --project jafar\n\n\n
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tab
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414
| 550,767
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slurm/jobs/train_tokenizer_knoms_overfit_tfrecord_full.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=4\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_knoms_overfit_tfrecord_full\n#SBATCH --mail-type=ALL\n\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=$SLURM_JOB_ID\n\nCHECKPOINT_DIR=$ws_dir/data/checkpoints/$job_name_$slurm_job_id\nmkdir -p $CHECKPOINT_DIR\n\n\ndata_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'\n\nsrun python train_tokenizer.py \\n --ckpt_dir $CHECKPOINT_DIR \\n --batch_size=48 \\n --num_steps=300000 \\n --warmup_steps=10000 \\n --log_checkpoint_interval=500 \\n --seed=0 \\n --min_lr=0.0000866 \\n --max_lr=0.0000866 \\n --log_image_interval=100 \\n --log \\n --entity instant-uv \\n --data_dir $data_dir \\n --project jafar\n\n\n
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shellscript
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tab
|
415
| 553,407
|
sbatch_scripts/train_dyn/train_dyn_knoms_full.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=4\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_dyn/%x_%j.log\n#SBATCH --error=logs/logs_training_dyn/%x_%j.log\n#SBATCH --mail-user=avocadoaling@gmail.com\n#SBATCH --job-name=train_dyn_knoms_full\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=$SLURM_JOB_ID\n\n\nCHECKPOINT_DIR=$ws_dir/checkpoints/dyn/$job_name_$slurm_job_id\nmkdir -p $CHECKPOINT_DIR\n\n\ndata_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'\n\n\nlam_checkpoint='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/lam/3277318/lam_1750444032_10000'\ntokenizer_checkpoint='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/tokenizer/3273828/tokenizer_1750269881_15500'\n\nsrun python train_dynamics.py \\n --ckpt_dir $CHECKPOINT_DIR \\n --lam_checkpoint $lam_checkpoint \\n --tokenizer_checkpoint $tokenizer_checkpoint \\n --batch_size=48 \\n --log_checkpoint_interval=500 \\n --log_image_interval=50 \\n --seed=0 \\n --min_lr=0.0000866 \\n --max_lr=0.0000866 \\n --log \\n --entity instant-uv \\n --data_dir $data_dir \\n --project jafar\n\n
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shellscript
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tab
|
416
| 556,406
|
slurm/jobs/train_dyn_knoms_full.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=4\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_dyn/%x_%j.log\n#SBATCH --error=logs/logs_training_dyn/%x_%j.log\n#SBATCH --mail-user=avocadoaling@gmail.com\n#SBATCH --job-name=train_dyn_knoms_full\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=$SLURM_JOB_ID\n\n\nCHECKPOINT_DIR=$ws_dir/checkpoints/dyn/$job_name_$slurm_job_id\nmkdir -p $CHECKPOINT_DIR\n\n\ndata_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'\n\n\nlam_checkpoint='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/lam/3277318/lam_1750444032_10000'\ntokenizer_checkpoint='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/tokenizer/3273828/tokenizer_1750269881_15500'\n\nsrun python train_dynamics.py \\n --ckpt_dir $CHECKPOINT_DIR \\n --lam_checkpoint $lam_checkpoint \\n --tokenizer_checkpoint $tokenizer_checkpoint \\n --batch_size=48 \\n --log_checkpoint_interval=500 \\n --log_image_interval=50 \\n --seed=0 \\n --min_lr=0.0000866 \\n --max_lr=0.0000866 \\n --log \\n --entity instant-uv \\n --data_dir $data_dir \\n --project jafar\n\n
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tab
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417
| 576,441
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sbatch_scripts/preprocess/mp4_to_npy_6xx.sbatch
| 0
| 0
| null |
shellscript
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tab
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418
| 580,202
|
slurm/jobs/mp4_to_npy_6xx.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=01:00:00\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_6xx\n#SBATCH --mail-type=ALL\n#!/usr/bin/env bash\n# Log the sbatch script\ncat $0\n\nsource .venv_jafar/bin/activate\n\ninput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try/6xx/"\noutput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_npy/6xx"\n\nstart_time=$(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
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shellscript
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tab
|
419
| 587,669
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sbatch_scripts/preprocess/mp4_to_npy_6xx.sbatch
| 0
| 0
| null |
shellscript
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tab
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420
| 604,829
|
sbatch_scripts/preprocess/npy_to_tfrecord_6xx.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=03:00:00\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=npy_to_tfrecord_6xx\n#SBATCH --mail-type=ALL\n#!/usr/bin/env bash\n# Log the sbatch script\ncat $0\n\nsource .venv_jafar/bin/activate\n\ninput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_npy/6xx/10fps_160x90"\noutput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_tfrecord/6xx"\n\nstart_time=$(date +%s) \npython utils/preprocess_dataset.py --source_data_dir $input_path --output_tfrecords_dir $output_path --num_shards 100\nend_time=$(date +%s)\necho "Time taken: $((end_time - start_time)) seconds"\n
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shellscript
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tab
|
421
| 606,042
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sbatch_scripts/preprocess/npy_to_tfrecord_10xx.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=03:00:00\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=npy_to_tfrecord_10xx\n#SBATCH --mail-type=ALL\n#!/usr/bin/env bash\n# Log the sbatch script\ncat $0\n\nsource .venv_jafar/bin/activate\n\ninput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_npy/10xx/10fps_160x90"\noutput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_tfrecord/10xx"\n\nstart_time=$(date +%s) \npython utils/preprocess_dataset.py --source_data_dir $input_path --output_tfrecords_dir $output_path --num_shards 100\nend_time=$(date +%s)\necho "Time taken: $((end_time - start_time)) seconds"\n
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shellscript
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tab
|
422
| 632,948
|
sbatch_scripts/preprocess/npy_to_tfrecord_10xx copy.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=03:00:00\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=npy_to_tfrecord_10xx\n#SBATCH --mail-type=ALL\n#!/usr/bin/env bash\n# Log the sbatch script\ncat $0\n\nsource .venv_jafar/bin/activate\n\ninput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_npy/10xx/10fps_160x90"\noutput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_tfrecord/10xx"\n\nstart_time=$(date +%s) \npython utils/preprocess_dataset.py --source_data_dir $input_path --output_tfrecords_dir $output_path --num_shards 100\nend_time=$(date +%s)\necho "Time taken: $((end_time - start_time)) seconds"\n
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tab
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423
| 633,771
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sbatch_scripts/preprocess/npy_to_tfrecord_10xx.sbatch
| 0
| 0
| null |
shellscript
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tab
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424
| 634,263
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sbatch_scripts/preprocess/npy_to_tfrecord_10xx copy.sbatch
| 0
| 0
| null |
shellscript
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tab
|
425
| 640,944
|
sbatch_scripts/preprocess/npy_to_tfrecord_open_ai.sbatch
| 0
| 0
|
#!/usr/bin/env bash\n\n#SBATCH --nodes=1\n#SBATCH --ntasks-per-node=1\n#SBATCH --time=03:00:00\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=npy_to_tfrecord_10xx\n#SBATCH --mail-type=ALL\n#!/usr/bin/env bash\n# Log the sbatch script\ncat $0\n\nsource .venv_jafar/bin/activate\n\ninput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_npy/10xx/10fps_160x90"\noutput_path="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/open_ai_minecraft_first_try_tfrecord/10xx"\n\nstart_time=$(date +%s) \npython utils/preprocess_dataset.py --source_data_dir $input_path --output_tfrecords_dir $output_path --num_shards 100\nend_time=$(date +%s)\necho "Time taken: $((end_time - start_time)) seconds"\n
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shellscript
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tab
|
426
| 645,198
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sbatch_scripts/preprocess/mp4_to_npy_open_ai.sbatch
| 0
| 0
| null |
shellscript
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|
427
| 645,837
|
sbatch_scripts/preprocess/mp4_to_npy_open_ai.sbatch
| 500
| 0
| null |
shellscript
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selection_mouse
|
428
| 645,841
|
sbatch_scripts/preprocess/mp4_to_npy_open_ai.sbatch
| 499
| 0
| null |
shellscript
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selection_command
|
429
| 646,355
|
sbatch_scripts/preprocess/mp4_to_npy_open_ai.sbatch
| 592
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| null |
shellscript
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selection_command
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430
| 648,168
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sbatch_scripts/preprocess/npy_to_tfrecord_open_ai.sbatch
| 0
| 0
| null |
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tab
|
431
| 648,638
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sbatch_scripts/preprocess/npy_to_tfrecord_open_ai.sbatch
| 20
| 0
| null |
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432
| 648,869
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sbatch_scripts/preprocess/npy_to_tfrecord_open_ai.sbatch
| 21
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| null |
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433
| 648,896
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sbatch_scripts/preprocess/npy_to_tfrecord_open_ai.sbatch
| 39
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| null |
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434
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sbatch_scripts/preprocess/npy_to_tfrecord_open_ai.sbatch
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shellscript
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selection_command
|
435
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sbatch_scripts/preprocess/npy_to_tfrecord_open_ai.sbatch
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| null |
shellscript
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selection_command
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436
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sbatch_scripts/preprocess/npy_to_tfrecord_open_ai.sbatch
| 119
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| null |
shellscript
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selection_command
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