p-doom/crowd-code-dataset-0.2 huggingface dataset:
[tab] slurm/jobs/mihir/horeka/jafar_og_reproduction/og_coinrun_tokenizer_repoduction.sbatch (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=2-00:00:00
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:1
#SBATCH --partition=accelerated
#SBATCH --output=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/jafar_og_reproduction/tokenizer/%x_%j.log
#SBATCH --error=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/jafar_og_reproduction/tokenizer/%x_%j.log
#SBATCH --job-name=train_tokenizer_coinrun_og_reproduction

# Log the sbatch script
cat $0

source .venv/bin/activate

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

tags="coinrun_og reproduction 10m_dataset tokenizer repro_mihir"

npy_records_dir="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_coinrun/coinrun_episodes_10m"

CHECKPOINT_DIR="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/mihir/jafar_og_reproduction/tokenizer/$job_name/$slurm_job_id"

mkdir -p $CHECKPOINT_DIR

env | grep SLURM

srun python train_tokenizer.py \
    --ckpt_dir $CHECKPOINT_DIR \
    --log_image_interval=1000 \
    --patch_size=16 \
    --log \
    --name="${job_name}_${slurm_job_id}" \
    --tags $tags \
    --entity instant-uv \
    --project jafar \
    --data_dir $npy_records_dir \
    --wandb_id $slurm_job_id
[tab] slurm/jobs/mihir/horeka/lam/train_lam_minecraft_8node-darkness-filter-133M.sbatch (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=8
#SBATCH --ntasks-per-node=4
#SBATCH --time=48:00:00
#SBATCH --partition=accelerated
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:4
#SBATCH --output=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/lam/%x_%j.log
#SBATCH --error=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/lam/%x_%j.log
#SBATCH --job-name=train_lam_minecraft_8node_darkness_filter_133M
#SBATCH --reservation=llmtum
#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..."
    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

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

array_records_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_new/open_ai_minecraft_arrayrecords_chunked

job_name=$SLURM_JOB_NAME
# slurm_job_id=$SLURM_JOB_ID
slurm_job_id=3454956

CHECKPOINT_DIR=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/mihir/lam/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

env | grep SLURM

srun python train_lam.py \
    --save_ckpt \
    --restore_ckpt \
    --wandb_id $slurm_job_id \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=160 \
    --init_lr=0 \
    --max_lr=1e-4 \
    --darkness_threshold=50 \
    --log_image_interval=1000 \
    --log \
    --log_checkpoint_interval=1000 \
    --name=lam-minecraft-8-node-darkness-filter-133M-$slurm_job_id \
    --tags lam minecraft 8-node darkness-filter 133M \
    --entity instant-uv \
    --project jafar \
    --num_latents=100 \
    --model_dim=640 \
    --num_blocks=10 \
    --num_heads=10 \
    --latent_dim=32 \
    --ffn_dim=2560 \
    --data_dir $array_records_dir &

child_pid=$!

wait $child_pid
[tab] slurm/jobs/mihir/horeka/jafar_og_reproduction/og_coinrun_lam_reproduction.sbatch (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=2-00:00:00
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:1
#SBATCH --partition=accelerated
#SBATCH --output=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/jafar_og_reproduction/lam/%x_%j.log
#SBATCH --error=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/jafar_og_reproduction/lam/%x_%j.log
#SBATCH --job-name=train_lam_coinrun_og_reproduction

# Log the sbatch script
cat $0

source .venv/bin/activate

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

tags="coinrun_og reproduction 10m_dataset lam repro_mihir"

npy_records_dir="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_coinrun/coinrun_episodes_10m"

CHECKPOINT_DIR="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/mihir/jafar_og_reproduction/lam/$job_name/$slurm_job_id"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM

srun python train_lam.py \
    --ckpt_dir $CHECKPOINT_DIR \
    --log_image_interval=1000 \
    --log \
    --name="${job_name}_${slurm_job_id}" \
    --tags $tags \
    --entity instant-uv \
    --project jafar \
    --data_dir $npy_records_dir \
    --wandb_id $slurm_job_id
[tab] slurm/jobs/mihir/horeka/jafar_og_reproduction/og_coinrun_dynamics_reproduction.sbatch (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=2-00:00:00
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:1
#SBATCH --partition=accelerated
#SBATCH --output=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/jafar_og_reproduction/dynamics/%x_%j.log
#SBATCH --error=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/jafar_og_reproduction/dynamics/%x_%j.log
#SBATCH --job-name=train_dynamics_coinrun_og_reproduction

# Log the sbatch script
cat $0

source .venv/bin/activate

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

tags="coinrun_og dynanmics 10m_dataset repro_mihir"

npy_records_dir="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_coinrun/coinrun_episodes_10m"

# TODO mihir: update the tokenizer and lam checkpoints
tokenizer_ckpt_dir=""
lam_ckpt_dir=""

CHECKPOINT_DIR="/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/mihir/jafar_og_reproduction/dynamics/${job_name}/${slurm_job_id}"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM

srun python train_dynamics.py \
    --ckpt_dir $CHECKPOINT_DIR \
    --tokenizer_checkpoint="${tokenizer_ckpt_dir}" \
    --lam_checkpoint="${lam_ckpt_dir}" \
    --log_image_interval=1000 \
    --log \
    --name="${job_name}_${slurm_job_id}" \
    --tags ${tags} \
    --entity instant-uv \
    --project jafar \
    --data_dir $npy_records_dir \
    --wandb_id $slurm_job_id