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path: root/mlir/lib/Tools/PDLL/CodeGen/CPPGen.cpp
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2025-10-16[mlir] Replace LLVM_ATTRIBUTE_UNUSED with [[maybe_unused]] (NFC) (#163703)Kazu Hirata
This patch replaces LLVM_ATTRIBUTE_UNUSED with [[maybe_unused]], introduced as part of C++17.
2025-07-15[mlir] Remove unused includes (NFC) (#148872)Kazu Hirata
These are identified by misc-include-cleaner. I've filtered out those that break builds. Also, I'm staying away from llvm-config.h, config.h, and Compiler.h, which likely cause platform- or compiler-specific build failures.
2024-07-02mlir/LogicalResult: move into llvm (#97309)Ramkumar Ramachandra
This patch is part of a project to move the Presburger library into LLVM.
2023-01-14[mlir] Use std::optional instead of llvm::Optional (NFC)Kazu Hirata
This patch replaces (llvm::|)Optional< with std::optional<. I'll post a separate patch to remove #include "llvm/ADT/Optional.h". This is part of an effort to migrate from llvm::Optional to std::optional: https://discourse.llvm.org/t/deprecating-llvm-optional-x-hasvalue-getvalue-getvalueor/63716
2023-01-13[mlir] Add #include <optional> (NFC)Kazu Hirata
This patch adds #include <optional> to those files containing llvm::Optional<...> or Optional<...>. I'll post a separate patch to actually replace llvm::Optional with std::optional. This is part of an effort to migrate from llvm::Optional to std::optional: https://discourse.llvm.org/t/deprecating-llvm-optional-x-hasvalue-getvalue-getvalueor/63716
2022-12-17mlir/tblgen: use std::optional in generationRamkumar Ramachandra
This is part of an effort to migrate from llvm::Optional to std::optional. This patch changes the way mlir-tblgen generates .inc files, and modifies tests and documentation appropriately. It is a "no compromises" patch, and doesn't leave the user with an unpleasant mix of llvm::Optional and std::optional. A non-trivial change has been made to ControlFlowInterfaces to split one constructor into two, relating to a build failure on Windows. See also: https://discourse.llvm.org/t/deprecating-llvm-optional-x-hasvalue-getvalue-getvalueor/63716 Signed-off-by: Ramkumar Ramachandra <r@artagnon.com> Differential Revision: https://reviews.llvm.org/D138934
2022-11-08[mlir:PDL] Add support for DialectConversion with pattern configurationsRiver Riddle
Up until now PDL(L) has not supported dialect conversion because we had no way of remapping values or integrating with type conversions. This commit rectifies that by adding a new "pattern configuration" concept to PDL. This essentially allows for attaching external configurations to patterns, which can hook into pattern events (for now just the scope of a rewrite, but we could also pass configs to native rewrites as well). This allows for injecting the type converter into the conversion pattern rewriter. Differential Revision: https://reviews.llvm.org/D133142
2022-09-30[mlir:PDL][NFC] Update PDL API to use prefixed accessorsRiver Riddle
This doesn't flip the switch for prefix generation yet, that'll be done in a followup.
2022-05-30[mlir:PDLL] Rework the C++ generation of native Constraint/Rewrite arguments ↵River Riddle
and results The current translation uses the old "ugly"/"raw" form which used PDLValue for the arguments and results. This commit updates the C++ generation to use the recently added sugar that allows for directly using the desired types for the arguments and result of PDL functions. In addition, this commit also properly imports the C++ class for ODS operations, constraints, and interfaces. This allows for a much more convienent C++ API than previously granted with the raw/low-level types. Differential Revision: https://reviews.llvm.org/D124817
2022-04-06[mlir:PDL] Expand how native constraint/rewrite functions can be definedRiver Riddle
This commit refactors the expected form of native constraint and rewrite functions, and greatly reduces the necessary user complexity required when defining a native function. Namely, this commit adds in automatic processing of the necessary PDLValue glue code, and allows for users to define constraint/rewrite functions using the C++ types that they actually want to use. As an example, lets see a simple example rewrite defined today: ``` static void rewriteFn(PatternRewriter &rewriter, PDLResultList &results, ArrayRef<PDLValue> args) { ValueRange operandValues = args[0].cast<ValueRange>(); TypeRange typeValues = args[1].cast<TypeRange>(); ... // Create an operation at some point and pass it back to PDL. Operation *op = rewriter.create<SomeOp>(...); results.push_back(op); } ``` After this commit, that same rewrite could be defined as: ``` static Operation *rewriteFn(PatternRewriter &rewriter ValueRange operandValues, TypeRange typeValues) { ... // Create an operation at some point and pass it back to PDL. return rewriter.create<SomeOp>(...); } ``` Differential Revision: https://reviews.llvm.org/D122086
2022-03-19[mlir:PDLL][NFC] Remove a dead comment about constant paramsRiver Riddle
These were removed, and the FIXME is no longer relevant.
2022-03-19[mlir:PDL] Remove the ConstantParams support from native Constraints/RewritesRiver Riddle
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
2022-02-26[mlir:PDLL] Add support for C++ generationRiver Riddle
This commits adds a C++ generator to PDLL that generates wrapper PDL patterns directly usable in C++ code, and also generates the definitions of native constraints/rewrites that have code bodies specified in PDLL. This generator is effectively the PDLL equivalent of the current DRR generator, and will allow easy replacement of DRR patterns with PDLL patterns. A followup will start to utilize this for end-to-end integration testing and show case how to use this as a drop-in replacement for DRR tablegen usage. Differential Revision: https://reviews.llvm.org/D119781