p-doom/crowd-code-dataset-0.2 huggingface dataset:
[tab] .gitignore (ignore)
*.pyc
*.npy
*.png
*.gif

wandb_key
checkpoints/
wandb/
__pycache__/

logs/
sandbox/
sbatch_scripts/
vs-code-recorder/
data/
data_tfrecords/
sh_scripts/
utils/clip_checker.py
utils/dataloader_seeding.py
utils/preprocess_video_splitter_tmp.py
requirements_franz.txt
sample_resolution_batches.py
train_dynamics_*
train_lam_*
train_tokenizer_*
notes.md
shell_scripts/
[tab] sbatch_scripts/sample_jafar/sample_knoms.sh (shellscript)

module unload mpi/openmpi/5.0
module unload devel/cuda/12.4

source .venv_jafar/bin/activate

data_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'
checkpoint_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/dyn/3282489/genie_1750610596_12500'
seq_len=16
output_dir='sample_results/knoms/'

python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12 --seq_len $seq_len --output_dir $output_dir
# CUDA_VISIBLE_DEVICES=0 python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12
[content] sbatch_scripts/sample_jafar/sample_knoms.sh (shellscript)
data_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'
checkpoint_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/dyn/3282489/genie_1750610596_12500'
seq_len=16
output_dir='sample_results/knoms/'

python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12 --seq_len $seq_len --output_dir $output_dir
# CUDA_VISIBLE_DEVICES=0 python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12
[tab] sbatch_scripts/sample_jafar/sample_knoms copy.sh (shellscript)

module unload mpi/openmpi/5.0
module unload devel/cuda/12.4

source .venv_jafar/bin/activate

# data_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'
# checkpoint_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/dyn/3282489/genie_1750610596_12500'
# seq_len=16
# output_dir='sample_results/knoms/'

# python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12 --seq_len $seq_len --output_dir $output_dir
# # CUDA_VISIBLE_DEVICES=0 python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12

## overfit tfrecord 10
data_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards/tfrecords_10'
checkpoint_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/dyn/3289577/genie_1750786631_12500'
seq_len=16
output_dir='sample_results/knoms_overfit_10/'
mkdir -p $output_dir

python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12 --seq_len $seq_len --output_dir $output_dir
[tab] sbatch_scripts/sample_jafar/sample_knoms.sbatch (shellscript)

module unload mpi/openmpi/5.0
module unload devel/cuda/12.4

source .venv_jafar/bin/activate

# data_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards'
# checkpoint_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/dyn/3282489/genie_1750610596_12500'
# seq_len=16
# output_dir='sample_results/knoms/'

# python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12 --seq_len $seq_len --output_dir $output_dir
# # CUDA_VISIBLE_DEVICES=0 python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12

## overfit tfrecord 10
data_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_500_shards/tfrecords_10'
checkpoint_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/dyn/3289577/genie_1750786631_12500'
seq_len=16
output_dir='sample_results/knoms_overfit_10/'
mkdir -p $output_dir

python sample.py --checkpoint $checkpoint_dir --data_dir $data_dir --batch_size 12 --seq_len $seq_len --output_dir $output_dir
[content] sbatch_scripts/sample_jafar/sample_knoms.sbatch (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=4
#SBATCH --time=24:00:00
#SBATCH --partition=accelerated
#SBATCH --account=hk-project-p0023960
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:4
#SBATCH --output=logs/logs_training_dyn/%x_%j.log
#SBATCH --error=logs/logs_training_dyn/%x_%j.log
#SBATCH --mail-user=avocadoaling@gmail.com
#SBATCH --job-name=train_dyn_knoms_full
#SBATCH --mail-type=ALL

# Log the sbatch script
cat $0

module unload mpi/openmpi/5.0
module unload devel/cuda/12.4
source .venv_jafar/bin/activate
[tab] sbatch_scripts/coinrun/train_tokenizer_coinrun.sbatch (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=4
#SBATCH --time=06:00:00
#SBATCH --partition=accelerated
#SBATCH --account=hk-project-p0023960
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:4
#SBATCH --output=logs/logs_training_tokenizer/%x_%j.log
#SBATCH --error=logs/logs_training_tokenizer/%x_%j.log
#SBATCH --mail-user=avocadoaling@gmail.com
#SBATCH --job-name=train_tokenizer_coinrun
#SBATCH --mail-type=ALL

# Log the sbatch script
cat $0

module unload mpi/openmpi/5.0
module unload devel/cuda/12.4
source .venv/bin/activate

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

ws_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared'

CHECKPOINT_DIR=$ws_dir/data/checkpoints/$job_name_$slurm_job_id
LOG_DIR=$ws_dir/logs/$job_name_$slurm_job_id
mkdir -p $CHECKPOINT_DIR
mkdir -p $LOG_DIR

data_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/coinrun/coinrun_tfrecords'

srun python train_tokenizer.py \
    --batch_size=192 \
    --ckpt_dir $CHECKPOINT_DIR \
    --log_checkpoint_interval=1000 \
    --image_height 64 \
    --image_width 64 \
    --log \
    --entity instant-uv \
    --data_dir $data_dir \
    --project jafar