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

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=48:00:00
#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_breakout_longer
#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/train
array_records_dir_val=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect/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/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

# lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3512576
# tokenizer_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/tokenizer/interactive/3512502

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

env | grep SLURM

export PYTHONUNBUFFERED=1

srun python jasmine/train_dynamics.py \
    --save_ckpt \
    --image_height=10 \
    --image_width=10 \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=250 \
    --log_checkpoint_interval=250 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-default-$slurm_job_id \
    --tags dyn breakout default \
    --entity instant-uv \
    --project jafar \
    --patch_size 4 \
    --lam_patch_size 4 \
    --warmup_steps 100 \
    --wsd_decay_steps 1000 \
    --num_steps 5000 \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint $tokenizer_checkpoint \
    --lam_checkpoint $lam_checkpoint \
    --val_interval 750 \
    --eval_full_frame \
[content] /hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jasmine/genie.py (python)

        rng, _rng_noise = jax.random.split(rng)
        noise_level_B11 = jax.random.uniform(
            _rng_noise, shape=(B,), minval=0.0, maxval=self.max_noise_level
        ).reshape(B, 1, 1)
        noise_bucket_idx_B11 = jnp.floor((noise_level_B11/self.max_noise_level) * self.noise_buckets).astype(jnp.int32)
        noise_level_embed_B11M = self.noise_level_embed(noise_bucket_idx_B11)
        noise_level_embed_BT1M = jnp.tile(noise_level_embed_B11M, (1, T, 1, 1))
        vid_embed_BTNM += jnp.expand_dims(noise_level_B11, -1)
[tab] slurm/jobs/mihir/horeka/breakout/noise_schedule_runs/train_dyn_single_gpu.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=48:00:00
#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_breakout_longer
#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/train
array_records_dir_val=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect/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/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

# lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3512576
# tokenizer_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/tokenizer/interactive/3512502

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

env | grep SLURM

export PYTHONUNBUFFERED=1

srun python jasmine/train_dynamics.py \
    --save_ckpt \
    --image_height=10 \
    --image_width=10 \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=250 \
    --log_checkpoint_interval=250 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-default-$slurm_job_id \
    --tags dyn breakout default \
    --entity instant-uv \
    --project jafar \
    --patch_size 4 \
    --lam_patch_size 4 \
    --warmup_steps 100 \
    --wsd_decay_steps 1000 \
    --num_steps 5000 \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint $tokenizer_checkpoint \
    --lam_checkpoint $lam_checkpoint \
    --val_interval 5 \
    --eval_full_frame \
[tab] slurm/jobs/mihir/horeka/breakout/noise_schedule_runs/train_dyn_single_gpu copy.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_breakout_longer
#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/train
array_records_dir_val=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect/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/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

# lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3512576
# tokenizer_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/tokenizer/interactive/3512502

lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3518963
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 $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-$slurm_job_id \
    --tags dyn breakout 50ksteps 3e-5 \
    --entity instant-uv \
    --project jafar \
    --patch_size 4 \
    --lam_patch_size 4 \
    --warmup_steps 1000 \
    --wsd_decay_steps 10000 \
    --num_steps 50000 \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint $tokenizer_checkpoint \
    --lam_checkpoint $lam_checkpoint \
    --val_interval 1000 \
    --eval_full_frame \
[tab] slurm/jobs/mihir/horeka/breakout/noise_schedule_runs/train_dyn_single_gpu_big.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_breakout_longer
#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/train
array_records_dir_val=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect/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/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

# lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3512576
# tokenizer_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/tokenizer/interactive/3512502

lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3518963
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 $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-$slurm_job_id \
    --tags dyn breakout 50ksteps 3e-5 \
    --entity instant-uv \
    --project jafar \
    --patch_size 4 \
    --lam_patch_size 4 \
    --warmup_steps 1000 \
    --wsd_decay_steps 10000 \
    --num_steps 50000 \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint $tokenizer_checkpoint \
    --lam_checkpoint $lam_checkpoint \
    --val_interval 1000 \
    --eval_full_frame \
[tab] slurm/jobs/mihir/horeka/breakout/noise_schedule_runs/train_dyn_single_gpu_gt_actions copy.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
#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 $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=250 \
    --log_checkpoint_interval=250 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-gt-actions-lr-3e-5-$slurm_job_id \
    --tags dyn breakout 50ksteps 3e-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/noise_schedule_runs/train_dyn_single_gpu_gt_actions_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
#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 $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=250 \
    --log_checkpoint_interval=250 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-gt-actions-lr-3e-5-$slurm_job_id \
    --tags dyn breakout 50ksteps 3e-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/noise_schedule_runs/train_dyn_single_gpu_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_breakout_longer
#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/train
array_records_dir_val=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect/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/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

# lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3512576
# tokenizer_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/tokenizer/interactive/3512502

lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3518963
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 $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-$slurm_job_id \
    --tags dyn breakout 50ksteps 3e-5 \
    --entity instant-uv \
    --project jafar \
    --patch_size 4 \
    --lam_patch_size 4 \
    --warmup_steps 1000 \
    --wsd_decay_steps 10000 \
    --num_steps 50000 \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint $tokenizer_checkpoint \
    --lam_checkpoint $lam_checkpoint \
    --val_interval 1000 \
    --eval_full_frame \
[tab] slurm/jobs/mihir/horeka/breakout/noise_schedule_runs/train_dyn_single_gpu_gt_actions_smaller_lr.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 $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=1e-5 \
    --log_image_interval=250 \
    --log_checkpoint_interval=250 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-gt-actions-lr-1e-5-$slurm_job_id \
    --tags dyn breakout 50ksteps 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/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 $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=1e-5 \
    --log_image_interval=250 \
    --log_checkpoint_interval=250 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-gt-actions-lr-1e-5-$slurm_job_id \
    --tags dyn breakout 50ksteps 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/noise_schedule_runs/train_dyn_single_gpu_gt_actions.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=48:00:00
#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_breakout_longer
#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

export PYTHONUNBUFFERED=1

srun python jasmine/train_dynamics.py \
    --save_ckpt \
    --image_height=10 \
    --image_width=10 \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=3e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-default-gt-actions-$slurm_job_id \
    --tags dyn breakout default \
    --entity instant-uv \
    --project jafar \
    --patch_size 4 \
    --lam_patch_size 4 \
    --warmup_steps 1000 \
    --wsd_decay_steps 10000 \
    --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 1000 \
    --eval_full_frame \
[tab] slurm/jobs/mihir/horeka/breakout/noise_schedule_runs/train_dyn_single_gpu_smaller_lr.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_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/train
array_records_dir_val=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect/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/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

# lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3512576
# tokenizer_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/tokenizer/interactive/3512502

lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3518963
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 $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=1e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-$slurm_job_id \
    --tags dyn breakout 50ksteps 1e-5 \
    --entity instant-uv \
    --project jafar \
    --patch_size 4 \
    --lam_patch_size 4 \
    --warmup_steps 1000 \
    --wsd_decay_steps 10000 \
    --num_steps 50000 \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint $tokenizer_checkpoint \
    --lam_checkpoint $lam_checkpoint \
    --val_interval 1000 \
    --eval_full_frame \
[tab] slurm/jobs/mihir/horeka/breakout/noise_schedule_runs/train_dyn_single_gpu_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_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/train
array_records_dir_val=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_breakout/breakout_episodes_perfect/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/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

# lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3512576
# tokenizer_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/tokenizer/interactive/3512502

lam_checkpoint=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/breakout/lam/interactive/3518963
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 $CHECKPOINT_DIR \
    --batch_size=120 \
    --init_lr=0 \
    --max_lr=1e-5 \
    --log_image_interval=1000 \
    --log_checkpoint_interval=1000 \
    --dyna_type=maskgit \
    --log \
    --name=breakout-dyn-50ksteps-$slurm_job_id \
    --tags dyn breakout 50ksteps 1e-5 \
    --entity instant-uv \
    --project jafar \
    --patch_size 4 \
    --lam_patch_size 4 \
    --warmup_steps 1000 \
    --wsd_decay_steps 10000 \
    --num_steps 50000 \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint $tokenizer_checkpoint \
    --lam_checkpoint $lam_checkpoint \
    --val_interval 1000 \
    --eval_full_frame \
[tab] diff2.diff (diff)
diff --git a/train_dynamics.py b/train_dynamics.py
index f2576dc..ea96436 100644
--- a/train_dynamics.py
+++ b/train_dynamics.py
@@ -492,7 +492,7 @@ def main(args: Args) -> None:
             if not args.use_gt_actions:
                 lam_indices = genie.vq_encode(inputs, training=False)
                 inputs["latent_actions"] = lam_indices
-            inputs["videos"] = gt[:, :-1]  # remove last frame for generation
+            inputs["videos"] = inputs["videos"][:, :-1]  # remove last frame for generation
             recon_full_frame, logits_full_frame = genie.sample(
                 inputs,
                 args.seq_len,
[content] diff2.diff (diff)
-rw-r--r-- 1 tum_cte0515 hk-project-p0023960 2417 Sep 24 18:34 train_dyn_single_gpu_50k.sh
-rw-r--r-- 1 tum_cte0515 hk-project-p0023960 2075 Sep 24 18:34 train_dyn_single_gpu_gt_actions_50k.sh
-rw-r--r-- 1 tum_cte0515 hk-project-p0023960 2080 Sep 24 18:36 train_dyn_single_gpu_gt_actions.sh
-rw-r--r-- 1 tum_cte0515 hk-project-p0023960 2086 Sep 24 18:34 train_dyn_single_gpu_gt_actions_smaller_lr_50k.sh
-rw-r--r-- 1 tum_cte0515 hk-project-p0023960 2426 Sep 24 18:36 train_dyn_single_gpu.sh
-rw-r--r-- 1 tum_cte0515 hk-project-p0023960 2423 Sep 24 18:35 train_dyn_single_gpu_smaller_lr_50k.sh