You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Apart from the Fourier Neural Operator, the other prominent architecture for operator approximation is DeepONet. This should be implemented in a similar fashion as well.
Something like:
model =DeepONet(in_branch, in_trunk, out, latentspace, activation; biases...)
It won't make sense to distinguish between one singular layer and the entire architecture similar to FourierLayer. So this should be worked on after #22 is resolved.
The text was updated successfully, but these errors were encountered:
Apart from the Fourier Neural Operator, the other prominent architecture for operator approximation is DeepONet. This should be implemented in a similar fashion as well.
Something like:
It won't make sense to distinguish between one singular layer and the entire architecture similar to
FourierLayer
. So this should be worked on after #22 is resolved.The text was updated successfully, but these errors were encountered: