Closed ianwilliamson closed 1 year ago
Hi!
If you take a look at notebook11
, it is indeed based on ceviche-challenges
:)
Do you plan to publish any optimizers you use on the paper anytime ?
Whoops... missed that notebook (only got to 07_inverse_design.ipynb
).
We don't currently have plans to release any additional code from the paper. However, this repository seems to do a great job at filling the gap.
Thanks for the answer!
Some small details to fix and I think, the results will be reproduced!
The only limitation of ceviche_challenges is that it uses HIPS autograd (like base Ceviche) and doesn't speak "JAX." The nice javiche package can be used to plug things into JAX. (See also https://github.com/Jan-David-Black/javiche/issues/1).
You have traced back the origin story of javiche ;)
Very cool to see this repository!
I see that the inverse design examples in the documentation are using the much older inverse design workshop code that I created when I was back at Stanford. Just as an FYI, along with the Inverse Design of Photonic Devices with Strict Foundry Fabrication Constraints paper, we did release a codebase that enables one to easily setup and call all of the design challenges we present in the paper. It's really easy to just import one of the prefab devices and throw it into a loss function. That code base lives in google/
ceviche-challenges
and is also pip-installable as a package.The only limitation of
ceviche_challenges
is that it uses HIPS autograd (like base Ceviche) and doesn't speak "JAX." The nicejaviche
package can be used to plug things into JAX. (See also https://github.com/Jan-David-Black/javiche/issues/1).