Comments (2)
Hi Amir,
The code in this repository is just the exact translation of the original PINN from TensorFlow v1 to PyTorch. All the data are directly copied from the original work. Actually, I've tried to wrote an implementation myself that samples points from ICs and BCs and it worked perfectly. Practically, you don't need a stored data like the original work, you can generate those points in your Python training code.
from pinns.
That makes sense, thanks for converting the code to pytorch, it is very userful
from pinns.
Related Issues (8)
- Unable to visualize data in test code HOT 3
- Burgers inference discrete time HOT 2
- why two optimizers are needed during the training? HOT 1
- Coefficient (0.01 / math.pi) without parentheses HOT 2
- In the function 'loss_func' of 'Net class' of"Burgers.ipynb", do we need to add 'self.adam.zero_grad()' ? HOT 1
- OMP: Error in the file named "Burgers Inference (PyTorch).ipynb"
- Error issue
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from pinns.