p-doom/crowd-code-dataset-0.2 huggingface dataset:
[tab] slurm/jobs/mihir/berlin/diffusion/coinrun/train_tokenizer_mae.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --mem=100GB
#SBATCH --output=/fast/project/HFMI_ProFOUND/mihir/logs/train/tokenizer/mae/%x_%j.log
#SBATCH --error=/fast/project/HFMI_ProFOUND/mihir/logs/train/tokenizer/mae/%x_%j.log
#SBATCH --job-name=coinrun_train_tokenizer_mae

cat $0

source .venv/bin/activate

array_records_dir_train=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/train
array_records_dir_val=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/val

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/fast/project/HFMI_ProFOUND/mihir/checkpoints/tokenizer/mae/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

srun python jasmine/baselines/diffusion/train_tokenizer_mae.py \
    --save_ckpt \
    --ckpt_dir $CHECKPOINT_DIR \
    --name=train_tokenizer_mae_coinrun_$slurm_job_id \
    --tags tokenizer mae coinrun \
    --entity instant-uv \
    --project jafar \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
[tab] slurm/utils/mihir/weekend-job-starter.sh (shellscript)
sbatch slurm/jobs/mihir/horeka/action_space_scaling/co_training/train_dynamics_cotraining_12_actions.sbatch
sbatch slurm/jobs/mihir/horeka/action_space_scaling/co_training/train_dynamics_cotraining_20_actions.sbatch
sbatch slurm/jobs/mihir/horeka/action_space_scaling/co_training/train_dynamics_cotraining_50_actions.sbatch
sbatch slurm/jobs/mihir/horeka/action_space_scaling/co_training/train_dynamics_cotraining_6_actions.sbatch
sbatch slurm/jobs/mihir/horeka/action_space_scaling/co_training/train_dynamics_cotraining_8_actions.sbatch



sbatch slurm/jobs/mihir/horeka/lr_tuning/tokenizer/train_tokenizer_lr_1e-4.sbatch
sbatch slurm/jobs/mihir/horeka/lr_tuning/tokenizer/train_tokenizer_lr_5e-5.sbatch


sbatch slurm/jobs/mihir/horeka/batchsize_scaling/dynamics_cotraining/sqrt_lr/train_dynamics_16_nodes.sbatch
sbatch slurm/jobs/mihir/horeka/batchsize_scaling/dynamics_cotraining/sqrt_lr/train_dynamics_1_nodes.sbatch
sbatch slurm/jobs/mihir/horeka/batchsize_scaling/dynamics_cotraining/sqrt_lr/train_dynamics_2_nodes.sbatch
sbatch slurm/jobs/mihir/horeka/batchsize_scaling/dynamics_cotraining/sqrt_lr/train_dynamics_4_nodes.sbatch
sbatch slurm/jobs/mihir/horeka/batchsize_scaling/dynamics_cotraining/sqrt_lr/train_dynamics_8_nodes.sbatch


sbatch slurm/jobs/mihir/horeka/modelsize_scaling/dynamics/1_train_dyn_36M.sbatch
sbatch slurm/jobs/mihir/horeka/modelsize_scaling/dynamics/2_train_dyn_110M.sbatch
sbatch slurm/jobs/mihir/horeka/modelsize_scaling/dynamics/3_train_dyn_180M.sbatch
sbatch slurm/jobs/mihir/horeka/modelsize_scaling/dynamics/4_train_dyn_270M.sbatch
sbatch slurm/jobs/mihir/horeka/modelsize_scaling/dynamics/5_train_dyn_500M.sbatch
[tab] slurm/jobs/mihir/berlin/diffusion/doom/train_tokenizer_mae.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --mem=100GB
#SBATCH --output=/fast/project/HFMI_ProFOUND/mihir/logs/train/tokenizer/mae/%x_%j.log
#SBATCH --error=/fast/project/HFMI_ProFOUND/mihir/logs/train/tokenizer/mae/%x_%j.log
#SBATCH --job-name=doom_train_tokenizer_mae_36_10m

cat $0

source .venv/bin/activate

array_records_dir_train=/fast/project/HFMI_ProFOUND/mihir/data/data_doom/doom_episodes_10m_60x80_fixed/train
array_records_dir_val=/fast/project/HFMI_ProFOUND/mihir/data/data_doom/doom_episodes_10m_60x80_fixed/val

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/fast/project/HFMI_ProFOUND/mihir/checkpoints/tokenizer/mae/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

srun python jasmine/train_tokenizer.py \
    --save_ckpt \
    --tokenizer_type=mae \
    --image_height=60 \
    --image_width=80 \
    --batch_size=36 \
    --ckpt_dir $CHECKPOINT_DIR \
    --name=train_tokenizer_mae_doom_36_10m_$slurm_job_id \
    --tags tokenizer mae doom \
    --entity instant-uv \
    --project jafar \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
[tab] slurm/jobs/mihir/berlin/diffusion/coinrun/dyn_dit_coinrun_lr_1e-4.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --mem=100GB
#SBATCH --output=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/diffusion/%x_%j.log
#SBATCH --error=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/diffusion/%x_%j.log
#SBATCH --job-name=train_dyn_dit

cat $0

source .venv/bin/activate

array_records_dir_train=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/train
array_records_dir_val=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/val

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/fast/project/HFMI_ProFOUND/mihir/checkpoints/dyn/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

tokenizer_checkpoint=/fast/project/HFMI_ProFOUND/mihir/checkpoints/tokenizer/mae/coinrun_train_tokenizer_mae/32632

srun python jasmine/train_dynamics.py \
    --save_ckpt \
    --image_height=64 \
    --image_width=64 \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=36 \
    --max_lr=1e-4 \
    --dyna_type=diffusion \
    --diffusion_denoise_steps=128 \
    --name=train_dyn_dit_coinrun_lr_1e-4_$slurm_job_id \
    --tags dyn diffusion coinrun lr_1e-4 \
    --entity instant-uv \
    --project jafar \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_type=mae \
    --tokenizer_checkpoint=$tokenizer_checkpoint \
[content] slurm/jobs/mihir/berlin/maskgit/train_dynamics_maskgit.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --mem=100GB
#SBATCH --output=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/diffusion/%x_%j.log
#SBATCH --error=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/diffusion/%x_%j.log
#SBATCH --job-name=train_dyn_dit_coinrun

cat $0

source .venv/bin/activate

array_records_dir_train=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/train
array_records_dir_val=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/val

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/fast/project/HFMI_ProFOUND/mihir/checkpoints/dyn/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

tokenizer_checkpoint=/fast/project/HFMI_ProFOUND/mihir/checkpoints/tokenizer/mae/coinrun_train_tokenizer_mae/32925


srun python jasmine/baselines/diffusion/train_dynamics_diffusion.py \
    --save_ckpt \
    --ckpt_dir $CHECKPOINT_DIR \
    --diffusion_denoise_steps=128 \
    --name=train_dyn_diffusion_coinrun_$slurm_job_id \
    --tags dyn diffusion coinrun \
    --entity instant-uv \
    --project jafar \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint=$tokenizer_checkpoint \
[content] slurm/jobs/mihir/berlin/maskgit/train_dynamics_causal.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --mem=100GB
#SBATCH --output=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/diffusion/%x_%j.log
#SBATCH --error=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/diffusion/%x_%j.log
#SBATCH --job-name=train_dyn_dit_coinrun

cat $0

source .venv/bin/activate

array_records_dir_train=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/train
array_records_dir_val=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/val

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/fast/project/HFMI_ProFOUND/mihir/checkpoints/dyn/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

tokenizer_checkpoint=/fast/project/HFMI_ProFOUND/mihir/checkpoints/tokenizer/mae/coinrun_train_tokenizer_mae/32925


srun python jasmine/baselines/diffusion/train_dynamics_diffusion.py \
    --save_ckpt \
    --ckpt_dir $CHECKPOINT_DIR \
    --diffusion_denoise_steps=128 \
    --name=train_dyn_diffusion_coinrun_$slurm_job_id \
    --tags dyn diffusion coinrun \
    --entity instant-uv \
    --project jafar \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint=$tokenizer_checkpoint \
[tab] /fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/maskgit/train_dyn_maskgit_coinrun_32926.log (log)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --mem=100GB
#SBATCH --output=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/maskgit/%x_%j.log
#SBATCH --error=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/maskgit/%x_%j.log
#SBATCH --job-name=train_dyn_maskgit_coinrun

cat $0

source .venv/bin/activate

array_records_dir_train=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/train
array_records_dir_val=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/val

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/fast/project/HFMI_ProFOUND/mihir/checkpoints/dyn/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

tokenizer_checkpoint=/fast/project/HFMI_ProFOUND/mihir/checkpoints/tokenizer/vqvae/coinrun_train_tokenizer_vqvae/32874


srun python jasmine/baselines/maskgit/train_dynamics_maskgit.py \
    --save_ckpt \
    --ckpt_dir $CHECKPOINT_DIR \
    --name=train_dyn_maskgit_coinrun_$slurm_job_id \
    --tags dyn maskgit coinrun \
    --entity instant-uv \
    --project jafar \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint=$tokenizer_checkpoint \
/var/spool/slurm/job32926/slurm_script: line 15: .venv/bin/activate: No such file or directory
Traceback (most recent call last):
  File "/fast/home/mihir.mahajan/Projects/jasmine_runner_1/jasmine/baselines/maskgit/train_dynamics_maskgit.py", line 24, in <module>
    from models.genie import GenieMaskGIT, restore_genie_components
ModuleNotFoundError: No module named 'models'
srun: error: hai004: task 0: Exited with exit code 1
[tab] /fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/causal/train_dyn_causal_coinrun_32930.log (log)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --mem=100GB
#SBATCH --output=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/causal/%x_%j.log
#SBATCH --error=/fast/project/HFMI_ProFOUND/mihir/logs/train/dyn/causal/%x_%j.log
#SBATCH --job-name=train_dyn_causal_coinrun

cat $0

source .venv/bin/activate

array_records_dir_train=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/train
array_records_dir_val=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/val

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/fast/project/HFMI_ProFOUND/mihir/checkpoints/dyn/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

tokenizer_checkpoint=/fast/project/HFMI_ProFOUND/mihir/checkpoints/tokenizer/vqvae/coinrun_train_tokenizer_vqvae/32874


srun python jasmine/baselines/maskgit/train_dynamics_causal.py \
    --save_ckpt \
    --ckpt_dir $CHECKPOINT_DIR \
    --dyna_type=causal \
    --name=train_dyn_causal_coinrun_$slurm_job_id \
    --tags dyn causal coinrun \
    --entity instant-uv \
    --project jafar \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \
    --tokenizer_checkpoint=$tokenizer_checkpoint \
/var/spool/slurm/job32930/slurm_script: line 15: .venv/bin/activate: No such file or directory
╭─ Unrecognized options ─────────────────────────────────╮
│ Unrecognized options: --dyna-type=causal               │
│ ────────────────────────────────────────────────────── │
│ For full helptext, run train_dynamics_causal.py --help │
╰────────────────────────────────────────────────────────╯
srun: error: hai003: task 0: Exited with exit code 2
[tab] slurm/jobs/mihir/berlin/maskgit/train_tokenizer_vqvae.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:1
#SBATCH --mem=100GB
#SBATCH --output=/fast/project/HFMI_ProFOUND/mihir/logs/train/tokenizer/mae/%x_%j.log
#SBATCH --error=/fast/project/HFMI_ProFOUND/mihir/logs/train/tokenizer/mae/%x_%j.log
#SBATCH --job-name=coinrun_train_tokenizer_vqvae

cat $0

source .venv/bin/activate

array_records_dir_train=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/train
array_records_dir_val=/fast/project/HFMI_ProFOUND/mihir/data/data_coinrun/coinrun_episodes_50m/val

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/fast/project/HFMI_ProFOUND/mihir/checkpoints/tokenizer/vqvae/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

srun python jasmine/train_tokenizer_vqvae.py \
    --save_ckpt \
    --ckpt_dir $CHECKPOINT_DIR \
    --name=train_tokenizer_vqvae_coinrun_$slurm_job_id \
    --tags tokenizer vqvae coinrun \
    --entity instant-uv \
    --project jafar \
    --data_dir $array_records_dir_train \
    --val_data_dir $array_records_dir_val \