River Riddle 9a277af2d4 [mlir][Pass] Add support for generating pass utilities via tablegen
This revision adds support for generating utilities for passes such as options/statistics/etc. that can be inferred from the tablegen definition. This removes additional boilerplate from the pass, and also makes it easier to remove the reliance on the pass registry to provide certain things(e.g. the pass argument).

Differential Revision: https://reviews.llvm.org/D76659
2020-04-01 02:10:46 -07:00

176 lines
6.5 KiB
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/Analysis/LoopAnalysis.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Affine/Passes.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 {
// 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 FunctionPass<LoopUnroll> {
/// Include the generated pass utilities.
#define GEN_PASS_AffineUnroll
#include "mlir/Dialect/Affine/Passes.h.inc"
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
/// Returns true if no other affine.for ops are nested within.
static bool isInnermostAffineForOp(AffineForOp forOp) {
// Only for the innermost affine.for op's.
bool isInnermost = true;
forOp.walk([&](AffineForOp thisForOp) {
// Since this is a post order walk, we are able to conclude here.
isInnermost = (thisForOp == forOp);
return WalkResult::interrupt();
});
return isInnermost;
}
/// Gathers loops that have no affine.for's nested within.
static void gatherInnermostLoops(FuncOp f,
SmallVectorImpl<AffineForOp> &loops) {
f.walk([&](AffineForOp forOp) {
if (isInnermostAffineForOp(forOp))
loops.push_back(forOp);
});
}
void LoopUnroll::runOnFunction() {
if (clUnrollFull.getNumOccurrences() > 0 &&
clUnrollFullThreshold.getNumOccurrences() > 0) {
// 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).
getFunction().walk([&](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.
FuncOp func = getFunction();
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));
}
// 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);
}
std::unique_ptr<OpPassBase<FuncOp>> mlir::createLoopUnrollPass(
int unrollFactor, int unrollFull,
const std::function<unsigned(AffineForOp)> &getUnrollFactor) {
return std::make_unique<LoopUnroll>(
unrollFactor == -1 ? None : Optional<unsigned>(unrollFactor),
unrollFull == -1 ? None : Optional<bool>(unrollFull), getUnrollFactor);
}