[Mlir-commits] [mlir] [MLIR][XeGPU] TensorDesc Type support generic DistributeLayout instead of Layout (PR #190401)

[Charitha Saumya]

https://github.com/charithaintc commented:

overall code change looks good. 

Can you explain a bit about the background on why this is needed? With this change someone can write ND loads with slice layout (i.e. in certain dim data must be shared). How is this lowered? Do we use load_nd with broadcast to materialize the sharing? If that is the case, why not break down the tensor_desc with slice layout to equivalent layout with plain layout + broadcast. 


https://github.com/llvm/llvm-project/pull/190401