Files
clang-p2996/mlir/lib/Transforms/LoopUnroll.cpp
Nicolas Vasilache 258e8d9ce2 Prepend an "affine-" prefix to Affine pass option names - NFC
Trying to activate both LLVM and MLIR passes in mlir-cpu-runner showed name collisions when registering pass names.
    One possible way of disambiguating that should also work across dialects is to prepend the dialect name to the passes that specifically operate on that dialect.

    With this CL, mlir-cpu-runner tests still run when both LLVM and MLIR passes are registered

--

PiperOrigin-RevId: 246539917
2019-05-06 08:26:44 -07:00

192 lines
7.1 KiB
C++

//===- LoopUnroll.cpp - Code to perform loop unrolling --------------------===//
//
// Copyright 2019 The MLIR Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// =============================================================================
//
// This file implements loop unrolling.
//
//===----------------------------------------------------------------------===//
#include "mlir/Transforms/Passes.h"
#include "mlir/AffineOps/AffineOps.h"
#include "mlir/Analysis/LoopAnalysis.h"
#include "mlir/IR/AffineExpr.h"
#include "mlir/IR/AffineMap.h"
#include "mlir/IR/Builders.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/LoopUtils.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/Debug.h"
using namespace mlir;
#define DEBUG_TYPE "affine-loop-unroll"
static llvm::cl::OptionCategory clOptionsCategory(DEBUG_TYPE " options");
// Loop unrolling factor.
static llvm::cl::opt<unsigned> clUnrollFactor(
"unroll-factor",
llvm::cl::desc("Use this unroll factor for all loops being unrolled"),
llvm::cl::cat(clOptionsCategory));
static llvm::cl::opt<bool> clUnrollFull("unroll-full",
llvm::cl::desc("Fully unroll loops"),
llvm::cl::cat(clOptionsCategory));
static llvm::cl::opt<unsigned> clUnrollNumRepetitions(
"unroll-num-reps",
llvm::cl::desc("Unroll innermost loops repeatedly this many times"),
llvm::cl::cat(clOptionsCategory));
static llvm::cl::opt<unsigned> clUnrollFullThreshold(
"unroll-full-threshold", llvm::cl::Hidden,
llvm::cl::desc(
"Unroll all loops with trip count less than or equal to this"),
llvm::cl::cat(clOptionsCategory));
namespace {
/// 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 FunctionPass<LoopUnroll> {
const Optional<unsigned> unrollFactor;
const Optional<bool> unrollFull;
// 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;
explicit LoopUnroll(
Optional<unsigned> unrollFactor = None, Optional<bool> unrollFull = None,
const std::function<unsigned(AffineForOp)> &getUnrollFactor = nullptr)
: unrollFactor(unrollFactor), unrollFull(unrollFull),
getUnrollFactor(getUnrollFactor) {}
void runOnFunction() override;
/// Unroll this for op. Returns failure if nothing was done.
LogicalResult runOnAffineForOp(AffineForOp forOp);
static const unsigned kDefaultUnrollFactor = 4;
};
} // end anonymous namespace
void LoopUnroll::runOnFunction() {
// Gathers all innermost loops through a post order pruned walk.
struct InnermostLoopGatherer {
// Store innermost loops as we walk.
std::vector<AffineForOp> loops;
void walkPostOrder(Function *f) {
for (auto &b : *f)
walkPostOrder(b.begin(), b.end());
}
bool walkPostOrder(Block::iterator Start, Block::iterator End) {
bool hasInnerLoops = false;
// We need to walk all elements since all innermost loops need to be
// gathered as opposed to determining whether this list has any inner
// loops or not.
while (Start != End)
hasInnerLoops |= walkPostOrder(&(*Start++));
return hasInnerLoops;
}
bool walkPostOrder(Operation *opInst) {
bool hasInnerLoops = false;
for (auto &region : opInst->getRegions())
for (auto &block : region)
hasInnerLoops |= walkPostOrder(block.begin(), block.end());
if (opInst->isa<AffineForOp>()) {
if (!hasInnerLoops)
loops.push_back(opInst->cast<AffineForOp>());
return true;
}
return hasInnerLoops;
}
};
if (clUnrollFull.getNumOccurrences() > 0 &&
clUnrollFullThreshold.getNumOccurrences() > 0) {
// Store short loops as we walk.
std::vector<AffineForOp> 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).
getFunction().walk<AffineForOp>([&](AffineForOp forOp) {
Optional<uint64_t> tripCount = getConstantTripCount(forOp);
if (tripCount.hasValue() && tripCount.getValue() <= clUnrollFullThreshold)
loops.push_back(forOp);
});
for (auto forOp : loops)
loopUnrollFull(forOp);
return;
}
unsigned numRepetitions = clUnrollNumRepetitions.getNumOccurrences() > 0
? clUnrollNumRepetitions
: 1;
// If the call back is provided, we will recurse until no loops are found.
Function &func = getFunction();
for (unsigned i = 0; i < numRepetitions || getUnrollFactor; i++) {
InnermostLoopGatherer ilg;
ilg.walkPostOrder(&func);
auto &loops = ilg.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));
}
// Unroll by the factor passed, if any.
if (unrollFactor.hasValue())
return loopUnrollByFactor(forOp, unrollFactor.getValue());
// Unroll by the command line factor if one was specified.
if (clUnrollFactor.getNumOccurrences() > 0)
return loopUnrollByFactor(forOp, clUnrollFactor);
// Unroll completely if full loop unroll was specified.
if (clUnrollFull.getNumOccurrences() > 0 ||
(unrollFull.hasValue() && unrollFull.getValue()))
return loopUnrollFull(forOp);
// Unroll by four otherwise.
return loopUnrollByFactor(forOp, kDefaultUnrollFactor);
}
FunctionPassBase *mlir::createLoopUnrollPass(
int unrollFactor, int unrollFull,
const std::function<unsigned(AffineForOp)> &getUnrollFactor) {
return new LoopUnroll(
unrollFactor == -1 ? None : Optional<unsigned>(unrollFactor),
unrollFull == -1 ? None : Optional<bool>(unrollFull), getUnrollFactor);
}
static PassRegistration<LoopUnroll> pass("affine-loop-unroll", "Unroll loops");