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Posted to dev@teaclave.apache.org by laocaoshilaocao <no...@github.com.INVALID> on 2021/03/31 14:37:17 UTC
[apache/incubator-teaclave-sgx-sdk] Possibility to implement
tensorflow/keras in sgx (#335)
Hi, i want to deploy one deep learning algorithm which uses tensorflow/keras a lot inside SGX.
I tried fortanixEDP before with tensorflow C binding API like https://github.com/tensorflow/rust, but it seems really hard to use because tensorflow is based on C and there is no libc in fortanix target.
Is that possible to use such C binding API by sgx-sdk for example tensorflow? I mean actually i don't quite understand why the tensorflow works in raw rust but not in SGX.
Hope to hear from you.
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Re: [apache/incubator-teaclave-sgx-sdk] Possibility to implement
tensorflow/keras in sgx (#335)
Posted by Yu Ding <no...@github.com.INVALID>.
thanks for the pointer! i've been watching on tf's sgx support for quite a while. as of today i still believe libtensorflow-sys is the core problem. 2 years ago i looked into tf-lite and iirc my conclusion was that tf-lite could be ported with minimal changes. but i haven't got time for that since then ...
if you want to run full functional tf, another option is to use libOS, such as graphene. I know a couple of companies including Intel are trying to do so.
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Re: [apache/incubator-teaclave-sgx-sdk] Possibility to implement
tensorflow/keras in sgx (#335)
Posted by laocaoshilaocao <no...@github.com.INVALID>.
Thanks for your reply.
Maybe it is better for me to rewrite the tf method i need in my project.
If in the future sgx-sdk can support tf (no matter what version it is ), i believe that would be a great help for many developments.
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