torch-mlir/frontends
Yi Zhang bfc3ee35c6 Import Machine Translation model to MLIR.
This includes the following changes to import MT model into MLIR. There
are still a lot of work to for actual compilation.
- Add `torch.dict<>`, `torch.any`, `torch.number` types
- Add `torch.prim.DictConstruct` op
- Fix `torch.prim.TupleConstruct` op assembly format to include resulting types
2021-08-10 15:22:06 -04:00
..
pytorch Import Machine Translation model to MLIR. 2021-08-10 15:22:06 -04:00
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.