#include "mlir/Dialect/Affine/Passes.h"
#include "mlir/Dialect/Affine/Analysis/LoopAnalysis.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Affine/LoopUtils.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/IR/AffineExpr.h"
#include "mlir/IR/AffineMap.h"
#include "mlir/IR/Builders.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/Debug.h"
#include <optional>
namespace mlir {
namespace affine {
#define GEN_PASS_DEF_AFFINELOOPUNROLL
#include "mlir/Dialect/Affine/Passes.h.inc"
}
}
#define DEBUG_TYPE "affine-loop-unroll"
using namespace mlir;
using namespace mlir::affine;
namespace {
struct LoopUnroll : public affine::impl::AffineLoopUnrollBase<LoopUnroll> {
const std::function<unsigned(AffineForOp)> getUnrollFactor;
LoopUnroll() : getUnrollFactor(nullptr) {}
LoopUnroll(const LoopUnroll &other)
= default;
explicit LoopUnroll(
std::optional<unsigned> unrollFactor = std::nullopt,
bool unrollUpToFactor = false, bool unrollFull = false,
const std::function<unsigned(AffineForOp)> &getUnrollFactor = nullptr)
: getUnrollFactor(getUnrollFactor) {
if (unrollFactor)
this->unrollFactor = *unrollFactor;
this->unrollUpToFactor = unrollUpToFactor;
this->unrollFull = unrollFull;
}
void runOnOperation() override;
LogicalResult runOnAffineForOp(AffineForOp forOp);
};
}
static bool isInnermostAffineForOp(AffineForOp op) {
return !op.getBody()
->walk([&](AffineForOp nestedForOp) {
return WalkResult::interrupt();
})
.wasInterrupted();
}
static void gatherInnermostLoops(func::FuncOp f,
SmallVectorImpl<AffineForOp> &loops) {
f.walk([&](AffineForOp forOp) {
if (isInnermostAffineForOp(forOp))
loops.push_back(forOp);
});
}
void LoopUnroll::runOnOperation() {
func::FuncOp func = getOperation();
if (func.isExternal())
return;
if (unrollFull && unrollFullThreshold.hasValue()) {
SmallVector<AffineForOp, 4> loops;
getOperation().walk([&](AffineForOp forOp) {
std::optional<uint64_t> tripCount = getConstantTripCount(forOp);
if (tripCount && *tripCount <= unrollFullThreshold)
loops.push_back(forOp);
});
for (auto forOp : loops)
(void)loopUnrollFull(forOp);
return;
}
SmallVector<AffineForOp, 4> loops;
for (unsigned i = 0; i < numRepetitions || getUnrollFactor; i++) {
loops.clear();
gatherInnermostLoops(func, loops);
if (loops.empty())
break;
bool unrolled = false;
for (auto forOp : loops)
unrolled |= succeeded(runOnAffineForOp(forOp));
if (!unrolled)
break;
}
}
LogicalResult LoopUnroll::runOnAffineForOp(AffineForOp forOp) {
if (getUnrollFactor)
return loopUnrollByFactor(forOp, getUnrollFactor(forOp),
nullptr, cleanUpUnroll);
if (unrollFull)
return loopUnrollFull(forOp);
if (unrollUpToFactor)
return loopUnrollUpToFactor(forOp, unrollFactor);
return loopUnrollByFactor(forOp, unrollFactor, nullptr,
cleanUpUnroll);
}
std::unique_ptr<OperationPass<func::FuncOp>> mlir::affine::createLoopUnrollPass(
int unrollFactor, bool unrollUpToFactor, bool unrollFull,
const std::function<unsigned(AffineForOp)> &getUnrollFactor) {
return std::make_unique<LoopUnroll>(
unrollFactor == -1 ? std::nullopt : std::optional<unsigned>(unrollFactor),
unrollUpToFactor, unrollFull, getUnrollFactor);
}