This project has moved to the LLVM incubator and this repository will be removed once the transition is complete.
The final version before forked can be found in the archived
branch.
npcomp - An aspirational MLIR based numpy compiler
This project has moved to the LLVM incubator and this repository will be removed once the transition is complete.
The final version before forked can be found in the archived
branch.
Migrating from https://github.com/stellaraccident/mlir-npcomp/issues/1
I am just curious if It could be tested at some point some operation that It Is not trivial on how it could be expressed in numpy like distance transform or connected components.
I don't know if it can have any interesting implications in this
exploration as custom ops are going to be very problematic to maintain.
If you take a look at tensorflow/addons#1752 (comment) is related only to activations but it is quite common to have these kind of issues on more "esotic custom operations" that could frequently land to be proposed in Addons and other SIGs repos as the barrier is lower than TF core.
This is currently just hard-coded in frontend.py. It seems like a better fix would be, now that visibility is implemented, to tag these as public and extend/fix IREE to respect that (versus using a custom attribute).
I couldn't figure out the CMake incantation to enable a reasonable set of warning. I got bit by a missing function return bailing to an illegal instruction in debug mode.
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