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!
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
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!
MLIR introduction in Xiangsheng form
Such an exciting project : )
Is the Tutorial @ 31:30 available somewhere?
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@@LLVMPROJ The Tutorial is available here: th-cam.com/video/cyICUIZ56wQ/w-d-xo.html Thank you! :)
MLIR is just another level of IR above LLVM IR to help higher level of optimizations introduced due to recent year trend (like DL)
Pls make a compiler to compile tensorflow into MIT scratch
keep up
5:37 - honestly, this slide doesnt really explain "Why do we need MLIR ?" for a beginner ...
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
Very annoying presentation.
true
th-cam.com/video/nqa_Uyz1pBE/w-d-xo.html