6 Commits

Author SHA1 Message Date
River Riddle
9595f3568a [mlir:PDL] Remove the ConstantParams support from native Constraints/Rewrites
This support has never really worked well, and is incredibly clunky to
use (it effectively creates two argument APIs), and clunky to generate (it isn't
clear how we should actually expose this from PDL frontends). Treating these
as just attribute arguments is much much cleaner in every aspect of the stack.
If we need to optimize lots of constant parameters, it would be better to
investigate internal representation optimizations (e.g. batch attribute creation),
that do not affect the user (we want a clean external API).

Differential Revision: https://reviews.llvm.org/D121569
2022-03-19 13:28:24 -07:00
River Riddle
9eaff42360 [mlir][NFC] Move Parser.h to Parser/
There is no reason for this file to be at the top-level, and
its current placement predates the Parser/ folder's existence.

Differential Revision: https://reviews.llvm.org/D121024
2022-03-07 01:05:38 -08:00
River Riddle
81f2f4dfb2 [PDLL] Add support for tablegen includes and importing ODS information
This commit adds support for processing tablegen include files, and importing
various information from ODS. This includes operations, attribute+type constraints,
attribute/operation/type interfaces, etc. This will allow for much more robust tooling,
and also allows for referencing ODS constructs directly within PDLL (imported interfaces
can be used as constraints, operation result names can be used for member access, etc).

Differential Revision: https://reviews.llvm.org/D119900
2022-03-03 16:14:03 -08:00
Mehdi Amini
47ddf382e6 Add explicit this-> to access method in attempt to fix gcc5 build (NFC) 2022-02-28 08:54:38 +00:00
Mehdi Amini
fdfe26ddbe Add explicit capture for this pointer in attempt to fix gcc5 build (NFC) 2022-02-27 21:41:23 +00:00
River Riddle
95b4e88b1d [mlir:PDLL] Add support for PDL MLIR code generation
This commits starts to plumb PDLL down into MLIR and adds an initial
PDL generator. After this commit, we will have conceptually support
end-to-end execution of PDLL. Followups will add CPP generation to
match the current DRR setup, and begin to add various end-to-end
tests to test PDLL execution.

Differential Revision: https://reviews.llvm.org/D119779
2022-02-26 11:08:51 -08:00