mirror of https://github.com/llvm/torch-mlir
ec6d06aa86
- aten::relu_, aten::max_pool2d, aten::adaptive_avg_pool2d, aten::batch_norm, aten::conv2d No aten-to-linalg conversion for the latter ones, as they are fairly substantial. At this point, I'm trying to get shape inference and stuff working for them and the IR cleaned up. |
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pytorch | ||
README.md | ||
__init__.py |
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.