| # 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 |