[llvm-dev] Thank you from the Glow Developers

[Sean Silva via llvm-dev]

Very cool! The first thing that jumps out to me is how tidy and modular the
code structure is. The code feels very familiar (stylistically,
organizationally, etc.) to me as an LLVM developer.

One thing that wasn't at all clear to me is how this is different/similar
to TensorFlow XLA (previously mentioned on this list). Can you briefly
compare and contrast this with TensorFlow XLA?

-- Sean Silva


On Thu, May 3, 2018, 6:14 PM Saleem Abdulrasool via llvm-dev <
llvm-dev at lists.llvm.org> wrote:

> Hello LLVM community,
>
> We have been working hard on a new domain specific optimizing compiler,
> and we
> are pleased to announce that we have recently open sourced the project!  We
> would like to introduce you to Glow, an optimizing compiler for neural
> networks!
>
> This new compiler is built on the hard work of this community and we would
> like
> to thank all of the contributors to the LLVM project.  We hope that the
> project
> will be beneficial to others as well, which would not have been possible
> without
> your work.
>
> You can find the sources to it at http://github.com/pytorch/glow and read
> up on
> the work in the associated paper we have released at
> https://arxiv.org/pdf/1805.00907.
>
> Thank you all!
>
> The Glow Developers
> _______________________________________________
> LLVM Developers mailing list
> llvm-dev at lists.llvm.org
> http://lists.llvm.org/cgi-bin/mailman/listinfo/llvm-dev
>
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