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README.md

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pde-observers

  1. Uncomment gt and set collect_data=true to generate data.
python run_pde_observers.py --train_yaml configs/matlab_rno.yaml
  1. 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.

  1. First run the following to preprocess data (for efficient running and debugging):
python lib/mat2npy.py
  1. 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
  1. Run the controller via:
python run_control.py