2019 EuroLLVM Developers’ Meeting: T. Shpeisman & C. Lattner “MLIR: Multi-Level Intermediate Repr..”

[@tetraphobie]

This is the only newbie-friendly video on MLIR that (almost) made sense to me. Thank you!

[@dontlikethetube]

Seemed like hard questions from the audience! Glad there are crazy brains solving these kinds of problems and a way for those solutions to be high impact across a bunch of language implementations!

[@WenZong]

MLIR introduction in Xiangsheng form

[@MrM12LRV]

Such an exciting project : )

[@8-P]

Is the Tutorial @ 31:30 available somewhere?

[@LLVMPROJ]

All videos are coming. Please subscribe to our channel.

[@8-P]

@@LLVMPROJ The Tutorial is available here: kzbin.info/www/bejne/maqsdIh_j5pprbM Thank you! :)

[@tonyjiang4991]

MLIR is just another level of IR above LLVM IR to help higher level of optimizations introduced due to recent year trend (like DL)

[@malharjajoo7393]

5:37 - honestly, this slide doesnt really explain "Why do we need MLIR ?" for a beginner ...

[@tom.zhangmingfnegtom.zhang6163]

maybe MLIR is more flexible than TVM. In google AI teams perspective , they think MLIR maybe in the future will be the standard for AI middle-layer framework

[@kyleschlicht4800]

Pls make a compiler to compile tensorflow into MIT scratch

[@razinedrive4757]

keep up

[@blanamaxima]

Very annoying presentation.

[@blanamaxima]

true

[@abharti]

kzbin.info/www/bejne/pKLEkIivr5ajeKc