llvm-project/mlir/lib/Dialect/Affine/Transforms/LoopUnroll.cpp

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C++

//===- LoopUnroll.cpp - Code to perform loop unrolling --------------------===//
//
// 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 loop unrolling.
//
//===----------------------------------------------------------------------===//
#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"
namespace mlir {
#define GEN_PASS_DEF_AFFINELOOPUNROLL
#include "mlir/Dialect/Affine/Passes.h.inc"
} // namespace mlir
#define DEBUG_TYPE "affine-loop-unroll"
using namespace mlir;
namespace {
// TODO: this is really a test pass and should be moved out of dialect
// transforms.
/// Loop unrolling pass. Unrolls all innermost loops unless full unrolling and a
/// full unroll threshold was specified, in which case, fully unrolls all loops
/// with trip count less than the specified threshold. The latter is for testing
/// purposes, especially for testing outer loop unrolling.
struct LoopUnroll : public impl::AffineLoopUnrollBase<LoopUnroll> {
// Callback to obtain unroll factors; if this has a callable target, takes
// precedence over command-line argument or passed argument.
const std::function<unsigned(AffineForOp)> getUnrollFactor;
LoopUnroll() : getUnrollFactor(nullptr) {}
LoopUnroll(const LoopUnroll &other)
= default;
explicit LoopUnroll(
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;
/// Unroll this for op. Returns failure if nothing was done.
LogicalResult runOnAffineForOp(AffineForOp forOp);
};
} // namespace
/// Returns true if no other affine.for ops are nested within `op`.
static bool isInnermostAffineForOp(AffineForOp op) {
return !op.getBody()
->walk([&](AffineForOp nestedForOp) {
return WalkResult::interrupt();
})
.wasInterrupted();
}
/// Gathers loops that have no affine.for's nested within.
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()) {
// Store short loops as we walk.
SmallVector<AffineForOp, 4> loops;
// Gathers all loops with trip count <= minTripCount. Do a post order walk
// so that loops are gathered from innermost to outermost (or else unrolling
// an outer one may delete gathered inner ones).
getOperation().walk([&](AffineForOp forOp) {
Optional<uint64_t> tripCount = getConstantTripCount(forOp);
if (tripCount && *tripCount <= unrollFullThreshold)
loops.push_back(forOp);
});
for (auto forOp : loops)
(void)loopUnrollFull(forOp);
return;
}
// If the call back is provided, we will recurse until no loops are found.
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 out if nothing was unrolled.
break;
}
}
/// Unrolls a 'affine.for' op. Returns success if the loop was unrolled,
/// failure otherwise. The default unroll factor is 4.
LogicalResult LoopUnroll::runOnAffineForOp(AffineForOp forOp) {
// Use the function callback if one was provided.
if (getUnrollFactor)
return loopUnrollByFactor(forOp, getUnrollFactor(forOp),
/*annotateFn=*/nullptr, cleanUpUnroll);
// Unroll completely if full loop unroll was specified.
if (unrollFull)
return loopUnrollFull(forOp);
// Otherwise, unroll by the given unroll factor.
if (unrollUpToFactor)
return loopUnrollUpToFactor(forOp, unrollFactor);
return loopUnrollByFactor(forOp, unrollFactor, /*annotateFn=*/nullptr,
cleanUpUnroll);
}
std::unique_ptr<OperationPass<func::FuncOp>> mlir::createLoopUnrollPass(
int unrollFactor, bool unrollUpToFactor, bool unrollFull,
const std::function<unsigned(AffineForOp)> &getUnrollFactor) {
return std::make_unique<LoopUnroll>(
unrollFactor == -1 ? std::nullopt : Optional<unsigned>(unrollFactor),
unrollUpToFactor, unrollFull, getUnrollFactor);
}