Commit Graph

5 Commits (52c330cca25d2da3847a920d02eefd25c8845aed)

Author SHA1 Message Date
Ramiro Leal-Cavazos e966112c8d
Add final cast to TorchToLinalg conversions missing it (#692)
In order to make sure that the TorchToLinalg conversions leave the
graph in a valid state, the final result of the conversion has to be
casted to the result type of the op. This commit adds this cast to ops
that did not have it.
2022-03-23 13:52:32 -07:00
Qiang Fu f7c7bb800c
Add non-default dtype support for a few elementwise math ops. (#687)
* fix type inference
* fix Torch2Linalg conversion
* add test cases
2022-03-23 13:35:43 -07:00
Prateek Gupta 7256c9e395 [TORCH][MLIR] Fix the return types of `aten.native_layer_norm`.
This commit fixes the 2nd and 3rd return types of the `aten.native_layer_norm`.
Previously the mean and rSTD were returned with reduction dims removed.
This commit fixes this and keeps the reduction dims of the results.

Signed-Off-By: Prateek Gupta <prateek@nord-labs.com>
2022-03-17 12:08:32 +05:30
Sean Silva 92da4988f0 Improve "pseudo" op terminology.
The term "pseudo" is very vague and was getting confusing (I felt I had
to explain it in every comment referencing it). Instead, rework the
"pseudo" ops to instead be named:

- MLIR Syntax: `torch.valsem.*`
- C++ / ODS: `ValsemVariant*Op`

This makes it clear what the concept is, and avoids confusion with other
things that might be called "pseudo", since these are very specific and
should be 100% consistently named w.r.t. the non-valsem-variant ops that
they correspond to.
2022-03-15 17:57:52 -07:00
Sean Silva 5d9222383c Split up TorchToLinalg.cpp
This helps keep things organized and also exposes more parallelism to
the build system. It seems though that most of the compile time is
actually spent in the headers though, so the wall time doesn't decrease
as much as I had hoped (and now that the headers are being included
multiple times, the cpu time actually increases a lot, sadly -- will try
to dig into this).
2022-03-14 10:19:41 -07:00