Re:Chris Lattner to Lead SiFive Platform Engineering Team
by enos_feedler on Monday January 27, 2020 @02:08PM
(#22162655)
Chris Lattner actually gave a talk at the last MLIR open design meeting. This may or may not ease worrying about MLIR's future.
Re:Chris Lattner to Lead SiFive Platform Engineering Team
by Joky on Monday January 27, 2020 @02:39PM
(#22162946)
"2020-01-24: Thoughts on Tensor Code Generation in MLIR" here: https://mlir.llvm.org/talks/ for reference.
Re:Chris Lattner to Lead SiFive Platform Engineering Team
by m0zg on Monday January 27, 2020 @12:09PM
(#22161329)
Edge TPU will eventually be canceled as well, I'm pretty sure, which is why, as exciting as it is otherwise, I'm not using it for anything practical. There's just no way to make $1B/yr with it, so it's officially below Google's executive interest threshold.
MLIR is getting used internally more and more inside TensorFlow, but also by separate team in different projects, like IREE for example (https://github.com/google/iree ). The TensorFlow lite converter has been replaced by the new MLIR-based one, similarly for the Edge TPU.
But more than that, what makes me confident is the traction we are getting outside Google. First, we landed MLIR in LLVM last month: https://github.com/llvm/llvm-project/commit/0f0d0ed1c78f1a80...
The LLVM Fortran frontend (f18/flang) which will merge soon in the LLVM monorepo is using MLIR for their own IR. It'll be exiting to develop a non-ML MLIR-based frontend within LLVM! In particular Flang is opening an HPC perspective that could be leveraged by other DSLs later. They are adding an OpenMP dialect to MLIR right now: https://llvm.discourse.group/t/rfc-openmp-dialect-in-mlir/39...
Intel has been actively porting their nGraph/PlaidML framework to be based on MLIR (search for "The Stripe dialect" and "nGraph Dialect" here: https://mlir.llvm.org/talks/ ).
I'm less familiar with S4TF, but I know they recently got some nice new hires, including https://twitter.com/DaveAbrahams/status/1207690883782467584