Build failing for custom tensorflow inside docker about tf-seal

[justin1121]

Hey @DreamingRaven thanks for the issue. We're not actively supporting arch linux right now but would happily accept a PR that fixes this issue as long as it runs on ubuntu 19.04 as well.

[DreamingRaven]

No probs @justin1121 I figured as much, I will be working on a fix in the background slowly as its not a top priority for me at this current point in time. But at some point in the next month or so I will look further into it as it would be preferable to be able to use up-to-date arch tools inside the container.

However do you happen to have a working ubuntu dockerfile/ docker-compose for tf-seal at the moment so that I can compare, and check compatibility of any of my own changes? Sorry I didn't see it on first check.

[justin1121]

Awesome 😄. Definitely able to lend a hand if you get stuck anywhere. Feel free to reach out.

[mortendahl]

Hi @DreamingRaven, just wanted to check if there are any updates here?

[DreamingRaven]

@mortendahl Appologies, due to constraints + CKKS scheme, I have gone pure pybind11 + seal v 3.4.5 so I can have more fine grain control of the encryption and serialisation for databases. but I will need to move to GPU soon for neural network speedup which will likely lead me back here to create an arch compatible build.

[CharlesKung]

@DreamingRaven Hi, did you find any framework that could support GPU speedup for encrypted data? I'm not quite sure this lib could be usble.