p-doom/crowd-code-dataset-0.2 huggingface dataset:
[tab] slurm/jobs/mihir/horeka/breakout/noise_schedule_runs/train_dyn_single_gpu_gt_actions_smaller_lr_50k.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=06:00:00
#SBATCH --partition=accelerated
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --output=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/breakout/dyn/%x_%j.log
#SBATCH --error=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/breakout/dyn/%x_%j.log
#SBATCH --job-name=train_dyn_default_gt_actions_breakout_longer_smaller_lr
#SBATCH --requeue
#SBATCH --signal=b:usr1@300 # 5 min before timeout

# 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_train=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect_big/train
array_records_dir_val=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect_big/val

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/dyn-gt-actions/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

tokenizer_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/tokenizer/interactive/3518963

env | grep SLURM

srun python jasmine/train_dynamics.py \
    --save_ckpt \
    --image_height=10 \
    --image_width=10 \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=1e-5 \
    --log_image_interval=250 \
    --log_checkpoint_interval=250 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-noise-lvl-gt-actions-lr-1e-5-$slurm_job_id \
    --tags dyn breakout 50ksteps noise-lvl 1e-5 \
    --entity instant-uv \
    --project jafar \
    --patch_size 4 \
    --lam_patch_size 4 \
    --warmup_steps 100 \
    --wsd_decay_steps 1000 \
    --num_steps 50000 \
    --use_gt_actions \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint $tokenizer_checkpoint \
    --val_interval 750 \
    --eval_full_frame \
[tab] slurm/jobs/mihir/horeka/breakout/sample_maskgit.sbatch (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

# Unload modules that may interfere
module unload mpi/openmpi/5.0
module unload devel/cuda/12.4

# Activate virtual environment
# source .venv/bin/activate

array_records_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect/val

CHECKPOINT_PATH=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/dyn/train_dyn_default_breakout_longer/3519480


echo "Sampling from checkpoint: $CHECKPOINT_PATH"

srun python jasmine/sample.py \
    --checkpoint "$CHECKPOINT_PATH" \
    --data_dir=$array_records_dir \
    --seq_len=16 \
    --batch_size=12 \
    --start_frame=4 \
    --image_height=10 \
    --image_width=10 \
    --dyna_type=maskgit \
    --lam_patch_size=4 \
    --no-print-action-indices \
    --output_dir "gifs/50k/lam-actions"