# 在开始真正训练之前（single_node.sh），
# 在sleep的机器里面跑下面的脚本
# 这样cache过的dataset训练时读起来很快



split="trainval"
scene_filter="navtrain"
img_res="256x1024"
extra_tag="vadv2+map"

python $NAVSIM_DEVKIT_ROOT/navsim/planning/script/run_dataset_caching.py \
agent=dummy_img${img_res} \
worker.threads_per_node=64 \
experiment_name=debug \
cache_path=$NAVSIM_EXP_ROOT/${scene_filter}_${extra_tag}_img${img_res}_cache \
split=${split} \
scene_filter=$scene_filter