- Uncomment gt and set collect_data=true to generate data.
python run_pde_observers.py --train_yaml configs/matlab_rno.yaml
- Set data_folder to 'outputs/{exp_name}' to train rno and evaluate. The command is the same.
python run_pde_observers.py --train_yaml configs/matlab_rno.yaml
old instructions for reference.
- First run the following to preprocess data (for efficient running and debugging):
- Then run to train the supervised pde observers:
python run_pde_observers.py
# rno
python run_pde_observers.py --train_yaml configs/matlab_rno.yaml
python run_pde_observers.py --train_yaml configs/base_transformer.yaml
- Run the controller via: