When I run demo command provided in "Minimal Validation Training":
torchrun --nnodes 1 --nproc_per_node 1 \ # number of processes per node, e.g., 1 scripts/train/train.py \ --config run_configs/train/pi0_genmanip_v1.yaml # Config file that specifies which model to train on which dataset, along with hyperparameters
I meet this error: "AttributeError: 'PI0Config' object has no attribute 'normalization_mapping". And this error occurs when running model = AutoModel.from_pretrained(config.base_model_path, **kwargs) , I would like to know how to solve it.
When I run demo command provided in "Minimal Validation Training":
torchrun --nnodes 1 --nproc_per_node 1 \ # number of processes per node, e.g., 1 scripts/train/train.py \ --config run_configs/train/pi0_genmanip_v1.yaml # Config file that specifies which model to train on which dataset, along with hyperparametersI meet this error: "AttributeError: 'PI0Config' object has no attribute 'normalization_mapping". And this error occurs when running
model = AutoModel.from_pretrained(config.base_model_path, **kwargs), I would like to know how to solve it.