mirror of https://github.com/llvm/torch-mlir
1b769f7841
This happens in practice. With this, we can globalize slots for the non-trivial classifier layer obtained from https://github.com/NVIDIA/NeMo/blob/main/tutorials/nlp/Joint_Intent_and_Slot_Classification.ipynb This also adds support for tuple return types, which were needed by that model. |
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| .. | ||
| Backend/Iree | ||
| CAPI | ||
| Conversion | ||
| Dialect | ||
| Python | ||
| RefBackend | ||
| npcomp-run-mlir | ||
| CMakeLists.txt | ||
| lit.cfg.py | ||
| lit.site.cfg.py.in | ||