yejiwi
yejiwi
Hi, I am working on deeponet_pde.py code to learn the operator from u -> I for ODE dI/dt = u * gamma * (1 - I) * I - gamma...
Hi, As suggested in the reply for #32, I modified the function `safe_test` `y_pred.append(model.predict(dde.nn.tensorflow_compat_v1.nn.NN.apply_feature_transform(self,X_add))) ` but it gives an error saying **TypeError: apply_feature_transform() missing 1 required positional argument: 'transform'** First...
Hi, I have the same issue as #25 and my code is already modified for the new version. What can I use instead of 'transform_inputs'?
Hi there, When I run deeponet_pde.py, I get an error message that **AttributeError: module 'config' has no attribute 'processes'** It is because in spaces.py, **eval_u** function has this line **p...