Commit Graph

4 Commits (2597c481f6a0719e1e3ee9d490c02c60607ef6af)

Author SHA1 Message Date
Vivek Khandelwal 88c216da13 [MLIR][TORCH] Add support for same input and output shapes for view op
This commit adds support for the cases of view op where the rank and
the shapes of the input and result are equal.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2022-03-25 22:26:10 +05:30
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
Vivek Khandelwal 13383b03b8 [MLIR][TORCH] Add value tensor variant to aten::copy_ op
This commit adds the op `ValsemVariantAtenCopyOp` that represents
`AtenCopy_Op` without the underscore. This is needed to make sure
that the `ReduceOpVariants` pass turns the in-place op into an op
that takes value tensors as inputs, otherwise the
`MaximizeValueSemantics` pass will not be able to add value
semantics correctly.

This commit also adds the lowering of `ValsemVariantAtenCopyOp`.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2022-03-21 19:12:37 +05:30
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