torch-mlir/frontends
Sean Silva 7dfd6f697e Add support for prim::RaiseException.
Used by resnet18.

It seems to originate from a helper `_verify_batch_size`:
[code link](b3bf08e67f/torch/nn/functional.py (L2099)).

I couldn't find a way to test `prim::RaiseException` without also having
`prim::Uninitialized`.
2021-03-02 16:01:34 -08:00
..
pytorch Add support for prim::RaiseException. 2021-03-02 16:01:34 -08:00
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.