| export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia | |
| export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/user/jfeng644/.mujoco/mujoco210/bin | |
| export PYTHONLOGLEVEL=ERROR | |
| export ACCELERATE_LOG_LEVEL=error | |
| export TRANSFORMERS_VERBOSITY=error | |
| export HF_DATASETS_VERBOSITY=error | |
| export MUJOCO_GL=egl | |
| export PYOPENGL_PLATFORM=egl | |
| # export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/train_2025-10-21T03-58-20/checkpoint-64000 | |
| # export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115/train_2025-10-24T01-59-16/checkpoint-48000 | |
| # export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd/train_2025-10-03T03-11-11/checkpoint-80000 | |
| # export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/multiview/train_2025-10-29T04-05-39/checkpoint-50000 | |
| # export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/mvwan5frame/train_2025-10-30T18-50-53/checkpoint-30000 | |
| # export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/mvwan/train_2025-10-30T18-21-29/checkpoint-40000 | |
| # export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/mvwan13frame_continue/train_2025-11-02T19-43-17/checkpoint-60000 | |
| export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115/5view/checkpoint-56000 | |
| # export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd/vppmvlibero/checkpoint-80000 | |
| # export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/singleview/train_2025-10-29T04-42-47/checkpoint-20000 | |
| export GLOBAL_FRAME_NUM=5 | |
| # 映射 EGL 渲染到可见 GPU：基于 CUDA_VISIBLE_DEVICES 与 LOCAL_RANK 选择物理 GPU 索引 | |
| PREPARE_GPU=1,0 | |
| if [ -n "$PREPARE_GPU" ]; then | |
| IFS=',' read -r -a __CUDA_DEV_ARR <<< "$PREPARE_GPU" | |
| __LOCAL_IDX=${LOCAL_RANK:-0} | |
| export MUJOCO_EGL_DEVICE_ID=${__CUDA_DEV_ARR[$__LOCAL_IDX]} | |
| fi | |
| # python /hpc2hdd/home/jfeng644/anaconda3/envs/uva/lib/python3.9/site-packages/robosuite/scripts/setup_macros.py | |
| # model.policy.autoregressive_model_params.pretrained_model_path=checkpoints/libero10.ckpt \ | |
| # python train.py \ | |
| # CUDA_VISIBLE_DEVICES=1,0 NCCL_ASYNC_ERROR_HANDLING=1 accelerate launch --num_processes=2 --main_process_port=29514 | |
| CUDA_VISIBLE_DEVICES=1,0 python train.py \ | |
| --config-dir=. \ | |
| --config-name=vpp_libero10.yaml \ | |
| model.policy.action_model_params.predict_action=True \ | |
| model.policy.optimizer.learning_rate=1e-4 \ | |
| logging.project=vpp \ | |
| hydra.run.dir="../manires/results/5frame_debug115ok_ckpt56" \ | |
| # model.policy.autoregressive_model_params.pretrained_model_path=checkpoints/libero10.ckpt \ | |