Inverse problem for a space and time dependent variable. about deepxde HOT 3 OPEN

space and time-dependent parameters? So c(x,y,t)? If so, then follow the demo you mentioned.

If it is c(x,y), there are some discussions. You can check FAQ.

from deepxde.

@lululxvi It is C(x,y) and not C(x,y,t). I followed some posts, but there it was with tensor flow backend. I am using PyTorch backend, and it didn't work. Can you please provide some pseudo code or code snippet just for that part? It would be really helpful, as I've spent quite some time trying to figure that out.

I saw this code snippet from one of the previous posts. But how would I do this in Pytorch ?

def apply_output_transform(inputs, outputs):
    p = outputs[:, 0:1]
    x = inputs[:, 0:1]
    C = FNN(x)
    return tf.concat([p, C], axis=1)

Regards
Hannan

from deepxde.

If you understand the code, it is straightforward to implement in pytorch.

from deepxde.