mirror of https://github.com/llvm/torch-mlir
179105ca3e
These tests pass on the reference backend.
- Add aten.linear op + shape xfer function + ATen->Linalg lowering.
- Note: this needs to be more automated, and needs to cover more cases.
- Current not implemented caveats:
- size-1 broadcasting for bias vector (either static-size-1 or ? case)
- higher-rank aten.linear ops (not produced by torch.nn.Linear though)
- type promotion (still don't even know the exact rules here)
- Add folder for torch.derefine op. Now the inliner can clean it up as
it inlines. (call boundaries are a main place we need to insert
torch.derefine) This is brittle -- the other important case is control
flow which will need to be handled via an extension to
RefineTypes.cpp (as will more robust call handling). River has an
in-flight patch to update it to the new dataflow framework so I didn't
want to do anything intrusive here.
- Also adjust torch.derefine syntax to use the keyword `to` instead of
`->`, as most type-only, cast-like ops do.
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||
|---|---|---|
| .. | ||
| ATenToLinalg | ||
| ATenToTCF | ||
| BasicpyToStd | ||
| NumpyToTCF | ||
| TCFToLinalg | ||
| TCFToStd | ||
| TCFToTCP | ||
| CMakeLists.txt | ||
| PassDetail.h | ||
| Passes.cpp | ||