p-doom/crowd-code-dataset-0.2 huggingface dataset:
[tab] slurm/dev/franz/berlin/atari/tokenizer_lr_3e-4/tokenizer.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --gres=gpu:1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=8
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/atari/tokenizer/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/atari/tokenizer/%x_%j.log
#SBATCH --job-name=tokenizer_atari_dev_lr_3e-4
#SBATCH --requeue
#SBATCH --signal=b:usr1@300 # 5 min before timeout

# --- signal trap to requeue job before timeout ---
requeue_job() {
    echo "[$(date)] caught sigusr1 (timeout warning), requeueing slurm job $SLURM_JOB_ID..."
    # optional: trigger checkpoint saving here
    # e.g., touch $checkpoint_dir/requeue_trigger
    scontrol requeue $SLURM_JOB_ID
    exit 0
}

trap requeue_job sigusr1

# set checkpoint flag based on restart count
restart_count=$(scontrol show job $SLURM_JOB_ID | grep -o 'Restarts=[0-9]*' | cut -d'=' -f2)

if [ $restart_count -eq 0 ]; then
    restore_ckpt_flag="--no-restore-ckpt"
else
    restore_ckpt_flag="--restore-ckpt"
fi

# Log the sbatch script
cat $0

source .venv/bin/activate

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

# Require ENV_NAME to be provided via sbatch --export=ENV_NAME=...
if [ -z "${ENV_NAME:-}" ]; then
    echo "ENV_NAME must be provided (e.g., sbatch --export=ALL,ENV_NAME=alien $0)" >&2
    exit 2
fi

tags="atari ${ENV_NAME} tokenizer dev lr_3e-4"

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/atari/${ENV_NAME}"
CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/atari/${ENV_NAME}/tokenizer/${job_name}_${slurm_job_id}"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM

current_branch=$(git rev-parse --abbrev-ref HEAD)
if [ "$current_branch" != "prepend-action-maskgit" ]; then
    echo "This script must be run from the prepend-action-maskgit branch. Current branch is $current_branch. Exiting."
    exit 1
fi

srun python jasmine/train_tokenizer.py \
    --patch_size=16 \
    --image_height=84 \
    --image_width=84 \
    --num_steps=50_000 \
    --max_lr=3e-4 \
    --warmup_steps=5000 \
    --wsd_decay_steps=5000 \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --name="${job_name}_${slurm_job_id}" \
    --tags $tags \
    --entity instant-uv \
    --project jafar \
    --data_dir="${array_records_dir}/train" \
    --val_data_dir="${array_records_dir}/val" &

child_pid=$!

wait $child_pid
[tab] slurm/dev/franz/berlin/atari/sample_mila_submission.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=4
#SBATCH --time=01:00:00
#SBATCH --partition=accelerated
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:4
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics_sample/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics_sample/%x_%j.log
#SBATCH --job-name=coinrun_sample_maskgit_mila_submission

# Activate virtual environment
source .venv/bin/activate

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment/val"
CHECKPOINT_PATH="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/dynamics_coinrun_mila_submission/29973"


echo "Sampling from checkpoint: $CHECKPOINT_PATH"

srun python jasmine/sample.py \
    --checkpoint $CHECKPOINT_PATH \
    --data_dir=$array_records_dir \
    --seq_len=16 \
    --batch_size=4 \
    --patch_size=16 \
    --start_frame=4 \
    --image_height=64 \
    --image_width=64 \
    --dyna_type=maskgit