Files
clang-p2996/mlir/lib/Dialect/Affine/Transforms/SimplifyAffineStructures.cpp
Tres Popp 5550c82189 [mlir] Move casting calls from methods to function calls
The MLIR classes Type/Attribute/Operation/Op/Value support
cast/dyn_cast/isa/dyn_cast_or_null functionality through llvm's doCast
functionality in addition to defining methods with the same name.
This change begins the migration of uses of the method to the
corresponding function call as has been decided as more consistent.

Note that there still exist classes that only define methods directly,
such as AffineExpr, and this does not include work currently to support
a functional cast/isa call.

Caveats include:
- This clang-tidy script probably has more problems.
- This only touches C++ code, so nothing that is being generated.

Context:
- https://mlir.llvm.org/deprecation/ at "Use the free function variants
  for dyn_cast/cast/isa/…"
- Original discussion at https://discourse.llvm.org/t/preferred-casting-style-going-forward/68443

Implementation:
This first patch was created with the following steps. The intention is
to only do automated changes at first, so I waste less time if it's
reverted, and so the first mass change is more clear as an example to
other teams that will need to follow similar steps.

Steps are described per line, as comments are removed by git:
0. Retrieve the change from the following to build clang-tidy with an
   additional check:
   https://github.com/llvm/llvm-project/compare/main...tpopp:llvm-project:tidy-cast-check
1. Build clang-tidy
2. Run clang-tidy over your entire codebase while disabling all checks
   and enabling the one relevant one. Run on all header files also.
3. Delete .inc files that were also modified, so the next build rebuilds
   them to a pure state.
4. Some changes have been deleted for the following reasons:
   - Some files had a variable also named cast
   - Some files had not included a header file that defines the cast
     functions
   - Some files are definitions of the classes that have the casting
     methods, so the code still refers to the method instead of the
     function without adding a prefix or removing the method declaration
     at the same time.

```
ninja -C $BUILD_DIR clang-tidy

run-clang-tidy -clang-tidy-binary=$BUILD_DIR/bin/clang-tidy -checks='-*,misc-cast-functions'\
               -header-filter=mlir/ mlir/* -fix

rm -rf $BUILD_DIR/tools/mlir/**/*.inc

git restore mlir/lib/IR mlir/lib/Dialect/DLTI/DLTI.cpp\
            mlir/lib/Dialect/Complex/IR/ComplexDialect.cpp\
            mlir/lib/**/IR/\
            mlir/lib/Dialect/SparseTensor/Transforms/SparseVectorization.cpp\
            mlir/lib/Dialect/Vector/Transforms/LowerVectorMultiReduction.cpp\
            mlir/test/lib/Dialect/Test/TestTypes.cpp\
            mlir/test/lib/Dialect/Transform/TestTransformDialectExtension.cpp\
            mlir/test/lib/Dialect/Test/TestAttributes.cpp\
            mlir/unittests/TableGen/EnumsGenTest.cpp\
            mlir/test/python/lib/PythonTestCAPI.cpp\
            mlir/include/mlir/IR/
```

Differential Revision: https://reviews.llvm.org/D150123
2023-05-12 11:21:25 +02:00

116 lines
4.0 KiB
C++

//===- SimplifyAffineStructures.cpp ---------------------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file implements a pass to simplify affine structures in operations.
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Affine/Passes.h"
#include "mlir/Dialect/Affine/Analysis/Utils.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Affine/Utils.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/IR/IntegerSet.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
namespace mlir {
namespace affine {
#define GEN_PASS_DEF_SIMPLIFYAFFINESTRUCTURES
#include "mlir/Dialect/Affine/Passes.h.inc"
} // namespace affine
} // namespace mlir
#define DEBUG_TYPE "simplify-affine-structure"
using namespace mlir;
using namespace mlir::affine;
namespace {
/// Simplifies affine maps and sets appearing in the operations of the Function.
/// This part is mainly to test the simplifyAffineExpr method. In addition,
/// all memrefs with non-trivial layout maps are converted to ones with trivial
/// identity layout ones.
struct SimplifyAffineStructures
: public affine::impl::SimplifyAffineStructuresBase<
SimplifyAffineStructures> {
void runOnOperation() override;
/// Utility to simplify an affine attribute and update its entry in the parent
/// operation if necessary.
template <typename AttributeT>
void simplifyAndUpdateAttribute(Operation *op, StringAttr name,
AttributeT attr) {
auto &simplified = simplifiedAttributes[attr];
if (simplified == attr)
return;
// This is a newly encountered attribute.
if (!simplified) {
// Try to simplify the value of the attribute.
auto value = attr.getValue();
auto simplifiedValue = simplify(value);
if (simplifiedValue == value) {
simplified = attr;
return;
}
simplified = AttributeT::get(simplifiedValue);
}
// Simplification was successful, so update the attribute.
op->setAttr(name, simplified);
}
IntegerSet simplify(IntegerSet set) { return simplifyIntegerSet(set); }
/// Performs basic affine map simplifications.
AffineMap simplify(AffineMap map) {
MutableAffineMap mMap(map);
mMap.simplify();
return mMap.getAffineMap();
}
DenseMap<Attribute, Attribute> simplifiedAttributes;
};
} // namespace
std::unique_ptr<OperationPass<func::FuncOp>>
mlir::affine::createSimplifyAffineStructuresPass() {
return std::make_unique<SimplifyAffineStructures>();
}
void SimplifyAffineStructures::runOnOperation() {
auto func = getOperation();
simplifiedAttributes.clear();
RewritePatternSet patterns(func.getContext());
AffineApplyOp::getCanonicalizationPatterns(patterns, func.getContext());
AffineForOp::getCanonicalizationPatterns(patterns, func.getContext());
AffineIfOp::getCanonicalizationPatterns(patterns, func.getContext());
FrozenRewritePatternSet frozenPatterns(std::move(patterns));
// The simplification of affine attributes will likely simplify the op. Try to
// fold/apply canonicalization patterns when we have affine dialect ops.
SmallVector<Operation *> opsToSimplify;
func.walk([&](Operation *op) {
for (auto attr : op->getAttrs()) {
if (auto mapAttr = dyn_cast<AffineMapAttr>(attr.getValue()))
simplifyAndUpdateAttribute(op, attr.getName(), mapAttr);
else if (auto setAttr = dyn_cast<IntegerSetAttr>(attr.getValue()))
simplifyAndUpdateAttribute(op, attr.getName(), setAttr);
}
if (isa<AffineForOp, AffineIfOp, AffineApplyOp>(op))
opsToSimplify.push_back(op);
});
GreedyRewriteConfig config;
config.strictMode = GreedyRewriteStrictness::ExistingAndNewOps;
(void)applyOpPatternsAndFold(opsToSimplify, frozenPatterns, config);
}