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//=== AffineTransformOps.cpp - Implementation of Affine transformation ops ===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Affine/TransformOps/AffineTransformOps.h"
#include "mlir/Dialect/Affine/Analysis/AffineStructures.h"
#include "mlir/Dialect/Affine/Analysis/Utils.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Affine/IR/AffineValueMap.h"
#include "mlir/Dialect/Affine/LoopUtils.h"
#include "mlir/Dialect/PDL/IR/PDL.h"
#include "mlir/Dialect/PDL/IR/PDLTypes.h"
#include "mlir/Dialect/Transform/IR/TransformDialect.h"
#include "mlir/Dialect/Transform/IR/TransformInterfaces.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
using namespace mlir;
using namespace mlir::affine;
using namespace mlir::transform;
//===----------------------------------------------------------------------===//
// SimplifyBoundedAffineOpsOp
//===----------------------------------------------------------------------===//
LogicalResult SimplifyBoundedAffineOpsOp::verify() {
if (getLowerBounds().size() != getBoundedValues().size())
return emitOpError() << "incorrect number of lower bounds, expected "
<< getBoundedValues().size() << " but found "
<< getLowerBounds().size();
if (getUpperBounds().size() != getBoundedValues().size())
return emitOpError() << "incorrect number of upper bounds, expected "
<< getBoundedValues().size() << " but found "
<< getUpperBounds().size();
return success();
}
namespace {
/// Simplify affine.min / affine.max ops with the given constraints. They are
/// either rewritten to affine.apply or left unchanged.
template <typename OpTy>
struct SimplifyAffineMinMaxOp : public OpRewritePattern<OpTy> {
using OpRewritePattern<OpTy>::OpRewritePattern;
SimplifyAffineMinMaxOp(MLIRContext *ctx,
const FlatAffineValueConstraints &constraints,
PatternBenefit benefit = 1)
: OpRewritePattern<OpTy>(ctx, benefit), constraints(constraints) {}
LogicalResult matchAndRewrite(OpTy op,
PatternRewriter &rewriter) const override {
FailureOr<AffineValueMap> simplified =
simplifyConstrainedMinMaxOp(op, constraints);
if (failed(simplified))
return failure();
rewriter.replaceOpWithNewOp<AffineApplyOp>(op, simplified->getAffineMap(),
simplified->getOperands());
return success();
}
const FlatAffineValueConstraints &constraints;
};
} // namespace
DiagnosedSilenceableFailure
SimplifyBoundedAffineOpsOp::apply(TransformResults &results,
TransformState &state) {
// Get constraints for bounded values.
SmallVector<int64_t> lbs;
SmallVector<int64_t> ubs;
SmallVector<Value> boundedValues;
DenseSet<Operation *> boundedOps;
for (const auto &it : llvm::zip_equal(getBoundedValues(), getLowerBounds(),
getUpperBounds())) {
Value handle = std::get<0>(it);
for (Operation *op : state.getPayloadOps(handle)) {
if (op->getNumResults() != 1 || !op->getResult(0).getType().isIndex()) {
auto diag =
emitDefiniteFailure()
<< "expected bounded value handle to point to one or multiple "
"single-result index-typed ops";
diag.attachNote(op->getLoc()) << "multiple/non-index result";
return diag;
}
boundedValues.push_back(op->getResult(0));
boundedOps.insert(op);
lbs.push_back(std::get<1>(it));
ubs.push_back(std::get<2>(it));
}
}
// Build constraint set.
FlatAffineValueConstraints cstr;
for (const auto &it : llvm::zip(boundedValues, lbs, ubs)) {
unsigned pos;
if (!cstr.findVar(std::get<0>(it), &pos))
pos = cstr.appendSymbolVar(std::get<0>(it));
cstr.addBound(presburger::BoundType::LB, pos, std::get<1>(it));
// Note: addBound bounds are inclusive, but specified UB is exclusive.
cstr.addBound(presburger::BoundType::UB, pos, std::get<2>(it) - 1);
}
// Transform all targets.
SmallVector<Operation *> targets;
for (Operation *target : state.getPayloadOps(getTarget())) {
if (!isa<AffineMinOp, AffineMaxOp>(target)) {
auto diag = emitDefiniteFailure()
<< "target must be affine.min or affine.max";
diag.attachNote(target->getLoc()) << "target op";
return diag;
}
if (boundedOps.contains(target)) {
auto diag = emitDefiniteFailure()
<< "target op result must not be constrainted";
diag.attachNote(target->getLoc()) << "target/constrained op";
return diag;
}
targets.push_back(target);
}
SmallVector<Operation *> transformed;
RewritePatternSet patterns(getContext());
// Canonicalization patterns are needed so that affine.apply ops are composed
// with the remaining affine.min/max ops.
AffineMaxOp::getCanonicalizationPatterns(patterns, getContext());
AffineMinOp::getCanonicalizationPatterns(patterns, getContext());
patterns.insert<SimplifyAffineMinMaxOp<AffineMinOp>,
SimplifyAffineMinMaxOp<AffineMaxOp>>(getContext(), cstr);
FrozenRewritePatternSet frozenPatterns(std::move(patterns));
GreedyRewriteConfig config;
config.strictMode = GreedyRewriteStrictness::ExistingAndNewOps;
// Apply the simplification pattern to a fixpoint.
if (failed(applyOpPatternsAndFold(targets, frozenPatterns, config))) {
auto diag = emitDefiniteFailure()
<< "affine.min/max simplification did not converge";
return diag;
}
return DiagnosedSilenceableFailure::success();
}
void SimplifyBoundedAffineOpsOp::getEffects(
SmallVectorImpl<MemoryEffects::EffectInstance> &effects) {
consumesHandle(getTarget(), effects);
for (Value v : getBoundedValues())
onlyReadsHandle(v, effects);
modifiesPayload(effects);
}
//===----------------------------------------------------------------------===//
// Transform op registration
//===----------------------------------------------------------------------===//
namespace {
class AffineTransformDialectExtension
: public transform::TransformDialectExtension<
AffineTransformDialectExtension> {
public:
using Base::Base;
void init() {
declareGeneratedDialect<AffineDialect>();
registerTransformOps<
#define GET_OP_LIST
#include "mlir/Dialect/Affine/TransformOps/AffineTransformOps.cpp.inc"
>();
}
};
} // namespace
#define GET_OP_CLASSES
#include "mlir/Dialect/Affine/TransformOps/AffineTransformOps.cpp.inc"
void mlir::affine::registerTransformDialectExtension(
DialectRegistry ®istry) {
registry.addExtensions<AffineTransformDialectExtension>();
}
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