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Pretty disappointing to see it using XLA. Anything Tensorflow is notoriously difficult to build on a local machine and generally considered a dependency nightma
by BadInformatics 6y ago
Pretty disappointing to see it using XLA. Anything Tensorflow is notoriously difficult to build on a local machine and generally considered a dependency nightmare. I would've thought libtorch bindings would be much easier.
- josevalim 6y agoOur compiler backends are pluggable. We went with XLA because that seemed the most accessible to us 3 months ago but you should be able to bring in libtorch or any other tensor compiler. That's actually one of the things I am really looking forward to: see what other compilers people will integrate with. I am aware some of the neural network libs have pluggable compilers but it will be interesting to see it done at the tensor level. :)
- BadInformatics 6y agoThat's great to hear. I'd love to see the Bazel monstrosity that is Tensorflow XLA get easier to build because of Nx. Not holding my breath though!
- josevalim 6y agoYeah, I would love if we could depend only on XLA. I think other communities like Julia could benefit from it too.