p-doom/crowd-code-dataset-0.2 huggingface dataset:
[tab] slurm/jobs/franz/berlin/coinrun/mila_submission/legacy_runs_50M_dataset/submission_debug/coinrun_dynamics_gt_actions_concat_branch.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics/%x_%j.log
#SBATCH --job-name=dynamics_coinrun_mila_submission_50M_dataset_gt_actions_concat_branch
#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

tags="coinrun dynamics 50m_dataset mila_submission ablation gt-actions patch_size_16 concat_branch"

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment"
tokenizer_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/tokenizer/tokenizer_coinrun_mila_submission_29736/"
CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/${job_name}/${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_dynamics.py \
    --use_gt_actions \
    --num_actions=15 \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --name="${job_name}_${slurm_job_id}" \
    --tags ${tags} \
    --entity instant-uv \
    --project jafar \
    --tokenizer_checkpoint="${tokenizer_ckpt_dir}" \
    --val_data_dir="${array_records_dir}/val" \
    --data_dir="${array_records_dir}/train" &

child_pid=$!

wait $child_pid
[terminal_command] TERMINAL ()
l/jafar_ws/data/coinrun/array_records_500m_seed_w_increment/train/data_6129.array_rs /fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment/train/data_6129.array_record source /home/franz.srambical/jafar/.venv/bin/activatesrambical@hai-login2.haicore.berlin:/fast/project/HFMI_
[tab] slurm/jobs/franz/berlin/coinrun/mila_submission/legacy_runs_50M_dataset/submission_debug/coinrun_dynamics_base_patch_size_4_action_prepend.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics/%x_%j.log
#SBATCH --job-name=dynamics_coinrun_mila_submission_patch_size_4_action_prepend_branch
#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

tags="coinrun dynamics 500m_dataset mila_submission debug patch_size_4 action_prepend_branch"

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment"
tokenizer_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/tokenizer/tokenizer_coinrun_500m_dataset_29490/"
CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/${job_name}/${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_dynamics.py \
    --patch_size=4 \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --name="${job_name}_${slurm_job_id}" \
    --tags ${tags} \
    --entity instant-uv \
    --project jafar \
    --tokenizer_checkpoint="${tokenizer_ckpt_dir}" \
    --val_data_dir="${array_records_dir}/val" \
    --data_dir="${array_records_dir}/train" &

child_pid=$!

wait $child_pid
[tab] slurm/jobs/franz/berlin/coinrun/mila_submission/ablations/coinrun_dynamics_gt_actions.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics/%x_%j.log
#SBATCH --job-name=dynamics_coinrun_mila_submission_gt_actions
#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

tags="coinrun dynamics 500m_dataset mila_submission ablation gt-actions"

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment"
tokenizer_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/tokenizer/tokenizer_coinrun_mila_submission_29736/"
CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/${job_name}/${slurm_job_id}"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM


srun python jasmine/train_dynamics.py \
    --use_gt_actions \
    --num_actions=15 \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --name="${job_name}_${slurm_job_id}" \
    --tags ${tags} \
    --entity instant-uv \
    --project jafar \
    --tokenizer_checkpoint="${tokenizer_ckpt_dir}" \
    --val_data_dir="${array_records_dir}/val" \
    --data_dir="${array_records_dir}/train" &

child_pid=$!

wait $child_pid
[tab] slurm/jobs/franz/berlin/coinrun/mila_submission/arch_ablations/coinrun_dynamics_no_cotraining.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/dynamics/%x_%j.log
#SBATCH --job-name=dynamics_coinrun_mila_submission_no_cotraining
#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

tags="coinrun dynamics 500m_dataset mila_submission ablation no-cotraining"

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment"
tokenizer_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/tokenizer/tokenizer_coinrun_mila_submission_29736/"
lam_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/lam/lam_coinrun_mila_submission_no_flash_attention_29738/"
CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/${job_name}/${slurm_job_id}"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM


srun python jasmine/train_dynamics.py \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --name="${job_name}_${slurm_job_id}" \
    --tags ${tags} \
    --entity instant-uv \
    --project jafar \
    --tokenizer_checkpoint="${tokenizer_ckpt_dir}" \
    --lam_checkpoint="${lam_ckpt_dir}" \
    --val_data_dir="${array_records_dir}/val" \
    --data_dir="${array_records_dir}/train" &

child_pid=$!

wait $child_pid