mirror of https://github.com/llvm/torch-mlir
8486968925
With this + manually setting private visibility on everything, a simple classifier can be reduced to this IR, which is looking pretty lean and mean: https://gist.github.com/silvasean/19e7e2e21a61ff197aeac0dd864d188f Also, include a utility script for importing `.pt` models. ``` pt_util.py --import classifier.pt | npcomp-opt -torch-globalize-object-graph ``` |
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| 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.