torch-mlir/frontends
Sean Silva 6b2424512b Make C API files more consistent
- Make consistent with MLIR Core
  - Use `//` or `///` comments.
  - Use `bool` type for booleans
  - No duplicated comments in .cpp files
- Split types into separate files `{Basicpy,Numpy,Torch}Types.h`
- Add dialect prefix consistently to C API symbols. We have lots of
  similarly named types (e.g. "list" type in basicpy and torch).
2021-06-14 15:34:43 -07:00
..
pytorch Make C API files more consistent 2021-06-14 15:34:43 -07:00
README.md Create frontends/pytorch directory. (#31) 2020-08-18 09:43:20 -07:00
__init__.py Add pytorch interface to ATen Dialect (#30) 2020-08-21 11:22:47 -07:00

README.md

NPComp - Frontends

NPComp maintains in-tree frontends for various popular numeric-python based frameworks. In general these are:

  • Considered optional components
  • Target dialects maintained at the top-level of the project
  • Maintained in isolation so as to facilitate moving them out to dedicated projects at an appropriate point of the lifecycle (i.e. if NPComp is successful as a general purpose target for such frameworks, then it may make sense to contribute/build each frontend to their respective up-stream project).

Frontends try to stylistically fit into the outer project except for when it is more clear/advantageous to align them with the conventions of the source project. This is approached on a case by case basis as needed. Deviations should be documented in a local style guide for the frontend.