llvm-project/mlir/lib/Dialect/Arith/Transforms/UnsignedWhenEquivalent.cpp

159 lines
5.9 KiB
C++

//===- UnsignedWhenEquivalent.cpp - Pass to replace signed operations with
// unsigned
// ones when all their arguments and results are statically non-negative --===//
//
// 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/Arith/Transforms/Passes.h"
#include "mlir/Analysis/DataFlow/DeadCodeAnalysis.h"
#include "mlir/Analysis/DataFlow/IntegerRangeAnalysis.h"
#include "mlir/Dialect/Arith/IR/Arith.h"
#include "mlir/Transforms/DialectConversion.h"
namespace mlir {
namespace arith {
#define GEN_PASS_DEF_ARITHUNSIGNEDWHENEQUIVALENT
#include "mlir/Dialect/Arith/Transforms/Passes.h.inc"
} // namespace arith
} // namespace mlir
using namespace mlir;
using namespace mlir::arith;
using namespace mlir::dataflow;
/// Succeeds when a value is statically non-negative in that it has a lower
/// bound on its value (if it is treated as signed) and that bound is
/// non-negative.
static LogicalResult staticallyNonNegative(DataFlowSolver &solver, Value v) {
auto *result = solver.lookupState<IntegerValueRangeLattice>(v);
if (!result)
return failure();
const ConstantIntRanges &range = result->getValue().getValue();
return success(range.smin().isNonNegative());
}
/// Succeeds if an op can be converted to its unsigned equivalent without
/// changing its semantics. This is the case when none of its openands or
/// results can be below 0 when analyzed from a signed perspective.
static LogicalResult staticallyNonNegative(DataFlowSolver &solver,
Operation *op) {
auto nonNegativePred = [&solver](Value v) -> bool {
return succeeded(staticallyNonNegative(solver, v));
};
return success(llvm::all_of(op->getOperands(), nonNegativePred) &&
llvm::all_of(op->getResults(), nonNegativePred));
}
/// Succeeds when the comparison predicate is a signed operation and all the
/// operands are non-negative, indicating that the cmpi operation `op` can have
/// its predicate changed to an unsigned equivalent.
static LogicalResult isCmpIConvertable(DataFlowSolver &solver, CmpIOp op) {
CmpIPredicate pred = op.getPredicate();
switch (pred) {
case CmpIPredicate::sle:
case CmpIPredicate::slt:
case CmpIPredicate::sge:
case CmpIPredicate::sgt:
return success(llvm::all_of(op.getOperands(), [&solver](Value v) -> bool {
return succeeded(staticallyNonNegative(solver, v));
}));
default:
return failure();
}
}
/// Return the unsigned equivalent of a signed comparison predicate,
/// or the predicate itself if there is none.
static CmpIPredicate toUnsignedPred(CmpIPredicate pred) {
switch (pred) {
case CmpIPredicate::sle:
return CmpIPredicate::ule;
case CmpIPredicate::slt:
return CmpIPredicate::ult;
case CmpIPredicate::sge:
return CmpIPredicate::uge;
case CmpIPredicate::sgt:
return CmpIPredicate::ugt;
default:
return pred;
}
}
namespace {
template <typename Signed, typename Unsigned>
struct ConvertOpToUnsigned : OpConversionPattern<Signed> {
using OpConversionPattern<Signed>::OpConversionPattern;
LogicalResult matchAndRewrite(Signed op, typename Signed::Adaptor adaptor,
ConversionPatternRewriter &rw) const override {
rw.replaceOpWithNewOp<Unsigned>(op, op->getResultTypes(),
adaptor.getOperands(), op->getAttrs());
return success();
}
};
struct ConvertCmpIToUnsigned : OpConversionPattern<CmpIOp> {
using OpConversionPattern<CmpIOp>::OpConversionPattern;
LogicalResult matchAndRewrite(CmpIOp op, CmpIOpAdaptor adaptor,
ConversionPatternRewriter &rw) const override {
rw.replaceOpWithNewOp<CmpIOp>(op, toUnsignedPred(op.getPredicate()),
op.getLhs(), op.getRhs());
return success();
}
};
struct ArithUnsignedWhenEquivalentPass
: public arith::impl::ArithUnsignedWhenEquivalentBase<
ArithUnsignedWhenEquivalentPass> {
/// Implementation structure: first find all equivalent ops and collect them,
/// then perform all the rewrites in a second pass over the target op. This
/// ensures that analysis results are not invalidated during rewriting.
void runOnOperation() override {
Operation *op = getOperation();
MLIRContext *ctx = op->getContext();
DataFlowSolver solver;
solver.load<DeadCodeAnalysis>();
solver.load<IntegerRangeAnalysis>();
if (failed(solver.initializeAndRun(op)))
return signalPassFailure();
ConversionTarget target(*ctx);
target.addLegalDialect<ArithDialect>();
target
.addDynamicallyLegalOp<DivSIOp, CeilDivSIOp, CeilDivUIOp, FloorDivSIOp,
RemSIOp, MinSIOp, MaxSIOp, ExtSIOp>(
[&solver](Operation *op) -> Optional<bool> {
return failed(staticallyNonNegative(solver, op));
});
target.addDynamicallyLegalOp<CmpIOp>(
[&solver](CmpIOp op) -> Optional<bool> {
return failed(isCmpIConvertable(solver, op));
});
RewritePatternSet patterns(ctx);
patterns.add<ConvertOpToUnsigned<DivSIOp, DivUIOp>,
ConvertOpToUnsigned<CeilDivSIOp, CeilDivUIOp>,
ConvertOpToUnsigned<FloorDivSIOp, DivUIOp>,
ConvertOpToUnsigned<RemSIOp, RemUIOp>,
ConvertOpToUnsigned<MinSIOp, MinUIOp>,
ConvertOpToUnsigned<MaxSIOp, MaxUIOp>,
ConvertOpToUnsigned<ExtSIOp, ExtUIOp>, ConvertCmpIToUnsigned>(
ctx);
if (failed(applyPartialConversion(op, target, std::move(patterns)))) {
signalPassFailure();
}
}
};
} // end anonymous namespace
std::unique_ptr<Pass> mlir::arith::createArithUnsignedWhenEquivalentPass() {
return std::make_unique<ArithUnsignedWhenEquivalentPass>();
}