Commit Graph

2 Commits (b59efc75f3d5cecb7e968c1f8f55cff0396ca747)

Author SHA1 Message Date
Sean Silva c319a20828 Update to LLVM 029313cc979ae71877b65794b1063d4e51184cc8
- mergeBlockBefore -> inlineBlockBefore
- move tosa-to-tensor pass ordering

https://github.com/llvm/torch-mlir/issues/1178#issuecomment-1476217922
2023-03-21 04:16:20 -07:00
Ramiro Leal-Cavazos a710237437
[custom op] Generalize shape library logic to work with dtypes (#1594)
* [custom op] Generalize shape library logic to work with dtypes

This commit generalizes the shape library logic, so that dtype rules
for ops can also be expressed using the same mechanism. In other
words, each op can now have a shape function and a dtype function
specified in Python that is imported during lowering to calculate the
shapes and dtypes throught a program. For more information about how
to specify a dtype function, see the updated
`docs/adding_a_shape_and_dtype_function.md`.

For those not familiar with how the shape library works, the file
`docs/calculations_lib.md` provides an overview.
2022-12-13 08:25:41 -08:00