llvm-project/mlir/lib/Dialect/Affine/Transforms/SimplifyAffineStructures.cpp
River Riddle a70aa7bb0d [mlir:Transforms] Move out the remaining non-dialect independent transforms and utilities
This has been a major TODO for a very long time, and is necessary for establishing a proper
dialect-free dependency layering for the Transforms library. Code was moved to effectively
two main locations:

* Affine/
There was quite a bit of affine dialect related code in Transforms/ do to historical reasons
(of a time way into MLIR's past). The following headers were moved to:
Transforms/LoopFusionUtils.h -> Dialect/Affine/LoopFusionUtils.h
Transforms/LoopUtils.h -> Dialect/Affine/LoopUtils.h
Transforms/Utils.h -> Dialect/Affine/Utils.h

The following transforms were also moved:
AffineLoopFusion, AffinePipelineDataTransfer, LoopCoalescing

* SCF/
Only one SCF pass was in Transforms/ (likely accidentally placed here): ParallelLoopCollapsing
The SCF specific utilities in LoopUtils have been moved to SCF/Utils.h

* Misc:
mlir::moveLoopInvariantCode was also moved to LoopLikeInterface.h given
that it is a simple utility defined in terms of LoopLikeOpInterface.

Differential Revision: https://reviews.llvm.org/D117848
2022-01-24 19:25:53 -08:00

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3.7 KiB
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//===- 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 "PassDetail.h"
#include "mlir/Dialect/Affine/Analysis/Utils.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Affine/Passes.h"
#include "mlir/Dialect/Affine/Utils.h"
#include "mlir/IR/IntegerSet.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
#define DEBUG_TYPE "simplify-affine-structure"
using namespace mlir;
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 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<FuncOp>>
mlir::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 = attr.getValue().dyn_cast<AffineMapAttr>())
simplifyAndUpdateAttribute(op, attr.getName(), mapAttr);
else if (auto setAttr = attr.getValue().dyn_cast<IntegerSetAttr>())
simplifyAndUpdateAttribute(op, attr.getName(), setAttr);
}
if (isa<AffineForOp, AffineIfOp, AffineApplyOp>(op))
opsToSimplify.push_back(op);
});
(void)applyOpPatternsAndFold(opsToSimplify, frozenPatterns, /*strict=*/true);
}