p-doom/crowd-code-dataset-0.2 huggingface dataset:
[tab] slurm/dev/alfred/berlin/test_exposure_bias/sample_causal.sbatch (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=00:30:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --job-name=sample_coinrun_exposure_bias_ckpt_causal

# Activate virtual environment
source .venv/bin/activate

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment/test"
CHECKPOINT_PATH="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/dynamics_coinrun_exposure_bias_causal/29657"
echo "Sampling from checkpoint: $CHECKPOINT_PATH"

srun python jasmine/sample.py \
    --checkpoint "$CHECKPOINT_PATH" \
    --data_dir=$array_records_dir \
    --image_height=64 \
    --image_width=64 \
    --batch_size=32 \
    --start_frame=1 \
    --output_dir=outputs/coinrun_dynamics_exposure_bias/29528_start1_testset_causal_ckpt \
    --dyna_type=causal
[content] slurm/jobs/franz/berlin/coinrun/sample/causal/sample_causal.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=00:30:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --job-name=sample_coinrun_exposure_bias_ckpt_causal

# Activate virtual environment
source .venv/bin/activate

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment/test"
CHECKPOINT_PATH="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/dynamics_coinrun_exposure_bias_causal/29657"
echo "Sampling from checkpoint: $CHECKPOINT_PATH"

srun python jasmine/sample.py \
    --checkpoint "$CHECKPOINT_PATH" \
    --data_dir=$array_records_dir \
    --image_height=64 \
    --image_width=64 \
    --batch_size=32 \
    --start_frame=1 \
    --output_dir=outputs/coinrun_dynamics_exposure_bias/29528_start1_testset_causal_ckpt \
    --dyna_type=causal
[tab] slurm/jobs/franz/berlin/coinrun/sample/maskgit/sample_dynamics_from_fully_trained_tokenizer.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=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/coinrun/dynamics/sampling/maskgit/%x_%j.log
#SBATCH --error=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/coinrun/dynamics/sampling/maskgit/%x_%j.log
#SBATCH --job-name=coinrun_sample_maskgit

# 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_exposure_bias_maskgit_no_noise/29660"


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 \
    --start_frame=1 \
    --image_height=64 \
    --image_width=64 \
    --dyna_type=maskgit
[tab] slurm/dev/franz/berlin/coinrun/sample/causal/sample_causal.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=00:30:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --job-name=sample_coinrun_exposure_bias_ckpt_causal

# Activate virtual environment
source .venv/bin/activate

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment/test"
CHECKPOINT_PATH="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/dynamics_coinrun_exposure_bias_causal/29657"
echo "Sampling from checkpoint: $CHECKPOINT_PATH"

srun python jasmine/sample.py \
    --checkpoint "$CHECKPOINT_PATH" \
    --data_dir=$array_records_dir \
    --image_height=64 \
    --image_width=64 \
    --batch_size=32 \
    --start_frame=1 \
    --dyna_type=causal \
    --noise_level=0.7
[tab] slurm/dev/franz/berlin/coinrun/sample/causal/sample_noised_causal.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=00:30:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --job-name=sample_coinrun_exposure_bias_ckpt_causal

# Activate virtual environment
source .venv/bin/activate

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment/test"
CHECKPOINT_PATH="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/dynamics_coinrun_exposure_bias_causal/29657"
echo "Sampling from checkpoint: $CHECKPOINT_PATH"

srun python jasmine/sample.py \
    --checkpoint "$CHECKPOINT_PATH" \
    --data_dir=$array_records_dir \
    --image_height=64 \
    --image_width=64 \
    --batch_size=32 \
    --start_frame=1 \
    --dyna_type=causal \
    --noise_level=0.7
[tab] slurm/dev/alfred/berlin/test_exposure_bias/sample_causal_no_noise.sbatch (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=00:30:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --job-name=sample_coinrun_exposure_bias_ckpt_causal_no_noise

# Activate virtual environment
source .venv/bin/activate

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment/test"
CHECKPOINT_PATH="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/dynamics_coinrun_exposure_bias_causal_no_noise/29658"
echo "Sampling from checkpoint: $CHECKPOINT_PATH"

srun python jasmine/sample.py \
    --checkpoint "$CHECKPOINT_PATH" \
    --data_dir=$array_records_dir \
    --image_height=64 \
    --image_width=64 \
    --batch_size=32 \
    --start_frame=1 \
    --output_dir=outputs/coinrun_dynamics_exposure_bias/29528_start1_testset_causal_no_noise_ckpt \
    --dyna_type=causal
[content] slurm/dev/franz/berlin/coinrun/sample/causal/sample_causal.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=00:30:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/sampling/%x_%j.log
#SBATCH --job-name=sample_coinrun_exposure_bias_ckpt_causal_no_noise

# Activate virtual environment
source .venv/bin/activate

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment/test"
CHECKPOINT_PATH="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/dynamics/dynamics_coinrun_exposure_bias_causal_no_noise/29658"
echo "Sampling from checkpoint: $CHECKPOINT_PATH"

srun python jasmine/sample.py \
    --checkpoint "$CHECKPOINT_PATH" \
    --data_dir=$array_records_dir \
    --image_height=64 \
    --image_width=64 \
    --batch_size=32 \
    --start_frame=1 \
    --output_dir=outputs/coinrun_dynamics_exposure_bias/29528_start1_testset_causal_no_noise_ckpt \
    --dyna_type=causal
[tab] slurm/dev/alfred/berlin/test_exposure_bias/dynamics.sbatch (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/ali/coinrun/dynamics/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/coinrun/dynamics/%x_%j.log
#SBATCH --job-name=dynamics_coinrun_exposure_bias
#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 exposure_bias"

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_29490/160000_ckpt"
lam_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/lam/lam_coinrun_500m_dataset_29489"
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 $CHECKPOINT_DIR \
    --batch_size=36 \
    --image_height=64 \
    --image_width=64 \
    --dyna_type=maskgit \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --log \
    --name="${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
[content] slurm/jobs/franz/berlin/coinrun/mila_submission/coinrun_dynamics.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/ali/coinrun/dynamics/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/coinrun/dynamics/%x_%j.log
#SBATCH --job-name=dynamics_coinrun_exposure_bias
#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 exposure_bias"

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_29490/160000_ckpt"
lam_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/lam/lam_coinrun_500m_dataset_29489"
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 $CHECKPOINT_DIR \
    --batch_size=36 \
    --image_height=64 \
    --image_width=64 \
    --dyna_type=maskgit \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --log \
    --name="${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
[tab] slurm/jobs/franz/berlin/coinrun/mila_submission/coinrun_dynamics_base.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/ali/coinrun/dynamics/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/coinrun/dynamics/%x_%j.log
#SBATCH --job-name=dynamics_coinrun_mila_submission
#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"

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_29490/160000_ckpt"
lam_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/lam/lam_coinrun_500m_dataset_29489"
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 $CHECKPOINT_DIR \
    --batch_size=36 \
    --image_height=64 \
    --image_width=64 \
    --dyna_type=maskgit \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --log \
    --name="${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
[tab] slurm/dev/alfred/berlin/test_exposure_bias/dynamics_maskgit_no_noise_from_main_w_full_frame.sbatch (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/ali/coinrun/dynamics/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/coinrun/dynamics/%x_%j.log
#SBATCH --job-name=dynamics_coinrun_exposure_bias_maskgit_no_noise_from_main_w_full_frame
#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 exposure_bias exposure_bias_maskgit no_noise_from_main"

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/"
lam_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/lam/lam_coinrun_500m_dataset_29489"
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 $CHECKPOINT_DIR \
    --batch_size=36 \
    --image_height=64 \
    --image_width=64 \
    --dyna_type=maskgit \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --eval_full_frame \
    --log \
    --name="${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
[tab] slurm/jobs/alfred/berlin/coinrun/coinrun_bigrun/coinrun_tokenizer_repoduction_ffn_512_n_blocks_8_full_prec.sbatch (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/ali/coinrun/tokenizer/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/coinrun/tokenizer/%x_%j.log
#SBATCH --job-name=train_tokenizer_coinrun_reproduction_10k_ffn_512_n_blocks_8_no_ffn_dense2_full_prec
#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 reproduction 10k_dataset tokenizer tok_repro"

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_10k"

CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/tokenizer/${job_name}_${slurm_job_id}"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM

srun python jasmine/train_tokenizer_full_prec.py \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=48 \
    --image_height=64 \
    --image_width=64 \
    --lr_schedule cos \
    --init_lr=3e-4 \
    --max_lr=3e-4 \
    --decay_end=3e-4 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --log \
    --ffn_dim=512 \
    --num_blocks=8 \
    --name="${job_name}_${slurm_job_id}" \
    --tags $tags \
    --entity instant-uv \
    --project jafar \
    --data_dir $array_records_dir &

child_pid=$!

wait $child_pid
[tab] slurm/dev/alfred/berlin/with_validation/tokenizer_baseline_debug.sbatch (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/ali/coinrun/tokenizer/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/coinrun/tokenizer/%x_%j.log
#SBATCH --job-name=tokenizer_coinrun_baseline_500mio
#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 with_val tokenizer baseline 500mio_dataset debug_ali"


array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m"
# array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_10k"

CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/tokenizer/${job_name}_${slurm_job_id}"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM

srun python jasmine/train_tokenizer.py \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=48 \
    --image_height=64 \
    --image_width=64 \
    --lr_schedule wsd \
    --init_lr=0 \
    --max_lr=3e-4 \
    --decay_end=0 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --log \
    --name="${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
[content] slurm/jobs/franz/berlin/coinrun/mila_submission/coinrun_tokenizer_base.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/ali/coinrun/tokenizer/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/coinrun/tokenizer/%x_%j.log
#SBATCH --job-name=tokenizer_coinrun_baseline_500mio
#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 with_val tokenizer baseline 500mio_dataset debug_ali"


array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m"
# array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_10k"

CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/tokenizer/${job_name}_${slurm_job_id}"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM

srun python jasmine/train_tokenizer.py \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=48 \
    --image_height=64 \
    --image_width=64 \
    --lr_schedule wsd \
    --init_lr=0 \
    --max_lr=3e-4 \
    --decay_end=0 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --log \
    --name="${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/jobs/franz/berlin/coinrun/mila_submission/coinrun_tokenizer_base.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/coinrun/tokenizer/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/tokenizer/%x_%j.log
#SBATCH --job-name=tokenizer_coinrun_mila_submission
#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 tokenizer 500m_dataset mila_submission"

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

env | grep SLURM

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

child_pid=$!

wait $child_pid
[content] slurm/jobs/franz/berlin/coinrun/mila_submission/coinrun_lam_base.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/coinrun/tokenizer/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/tokenizer/%x_%j.log
#SBATCH --job-name=tokenizer_coinrun_mila_submission
#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 tokenizer 500m_dataset mila_submission"

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

env | grep SLURM

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

child_pid=$!

wait $child_pid
[tab] slurm/jobs/alfred/berlin/coinrun/w_val/lam_jasmine_default.sbatch (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1 
#SBATCH --gres=gpu:1
#SBATCH --time=1-00:00:00
#SBATCH --cpus-per-task=5
#SBATCH --output=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/coinrun/lam/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/ali/coinrun/lam/%x_%j.log
#SBATCH --job-name=lam_coinrun_jasmine_default
#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 with_val lam baseline 500m_dataset"

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m"

CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/lam/${job_name}_${slurm_job_id}"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM

srun python jasmine/train_lam_full_prec.py \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=36 \
    --image_height=64 \
    --image_width=64 \
    --lr_schedule cos \
    --init_lr=3e-6 \
    --max_lr=3e-5 \
    --decay_end=0 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --val_interval=1000 \
    --log \
    --name="${job_name}_${slurm_job_id}" \
    --tags $tags \
    --entity instant-uv \
    --project jafar \
    --no_use_flash_attention \
    --data_dir="${array_records_dir}/train" \
    --val_data_dir="${array_records_dir}/val" &

child_pid=$!

wait $child_pid
[content] slurm/jobs/franz/berlin/coinrun/mila_submission/coinrun_lam_no_flash_attention.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/coinrun/lam/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/jafar_ws/logs/franz/coinrun/lam/%x_%j.log
#SBATCH --job-name=lam_coinrun_mila_submission
#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 lam 500m_dataset mila_submission"

array_records_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/data/coinrun/array_records_500m_seed_w_increment"
CHECKPOINT_DIR="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/lam/${job_name}_${slurm_job_id}"
mkdir -p $CHECKPOINT_DIR

env | grep SLURM

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

child_pid=$!

wait $child_pid
[tab] slurm/jobs/franz/berlin/coinrun/mila_submission/coinrun_dynamics_base.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
#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"

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/"
lam_ckpt_dir="/fast/project/HFMI_SynergyUnit/jafar_ws/checkpoints/coinrun/lam/lam_coinrun_500m_dataset_29489"
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}" \
    --val_data_dir="${array_records_dir}/val" \
    --data_dir="${array_records_dir}/train" &

child_pid=$!

wait $child_pid