| 1 | //===- MemRefDataFlowOpt.cpp - Memory DataFlow Optimization pass ----------===// |
| 2 | // |
| 3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| 4 | // See https://llvm.org/LICENSE.txt for license information. |
| 5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| 6 | // |
| 7 | //===----------------------------------------------------------------------===// |
| 8 | |
| 9 | #include "flang/Optimizer/Dialect/FIRDialect.h" |
| 10 | #include "flang/Optimizer/Dialect/FIROps.h" |
| 11 | #include "flang/Optimizer/Dialect/FIRType.h" |
| 12 | #include "flang/Optimizer/Transforms/Passes.h" |
| 13 | #include "mlir/Dialect/Func/IR/FuncOps.h" |
| 14 | #include "mlir/IR/Dominance.h" |
| 15 | #include "mlir/IR/Operation.h" |
| 16 | #include "mlir/Transforms/Passes.h" |
| 17 | #include "llvm/ADT/STLExtras.h" |
| 18 | #include "llvm/ADT/SmallVector.h" |
| 19 | #include <optional> |
| 20 | |
| 21 | namespace fir { |
| 22 | #define GEN_PASS_DEF_MEMREFDATAFLOWOPT |
| 23 | #include "flang/Optimizer/Transforms/Passes.h.inc" |
| 24 | } // namespace fir |
| 25 | |
| 26 | #define DEBUG_TYPE "fir-memref-dataflow-opt" |
| 27 | |
| 28 | using namespace mlir; |
| 29 | |
| 30 | namespace { |
| 31 | |
| 32 | template <typename OpT> |
| 33 | static std::vector<OpT> getSpecificUsers(mlir::Value v) { |
| 34 | std::vector<OpT> ops; |
| 35 | for (mlir::Operation *user : v.getUsers()) |
| 36 | if (auto op = dyn_cast<OpT>(user)) |
| 37 | ops.push_back(op); |
| 38 | return ops; |
| 39 | } |
| 40 | |
| 41 | /// This is based on MLIR's MemRefDataFlowOpt which is specialized on AffineRead |
| 42 | /// and AffineWrite interface |
| 43 | template <typename ReadOp, typename WriteOp> |
| 44 | class LoadStoreForwarding { |
| 45 | public: |
| 46 | LoadStoreForwarding(mlir::DominanceInfo *di) : domInfo(di) {} |
| 47 | |
| 48 | // FIXME: This algorithm has a bug. It ignores escaping references between a |
| 49 | // store and a load. |
| 50 | std::optional<WriteOp> findStoreToForward(ReadOp loadOp, |
| 51 | std::vector<WriteOp> &&storeOps) { |
| 52 | llvm::SmallVector<WriteOp> candidateSet; |
| 53 | |
| 54 | for (auto storeOp : storeOps) |
| 55 | if (domInfo->dominates(storeOp, loadOp)) |
| 56 | candidateSet.push_back(storeOp); |
| 57 | |
| 58 | if (candidateSet.empty()) |
| 59 | return {}; |
| 60 | |
| 61 | std::optional<WriteOp> nearestStore; |
| 62 | for (auto candidate : candidateSet) { |
| 63 | auto nearerThan = [&](WriteOp otherStore) { |
| 64 | if (candidate == otherStore) |
| 65 | return false; |
| 66 | bool rv = domInfo->properlyDominates(candidate, otherStore); |
| 67 | if (rv) { |
| 68 | LLVM_DEBUG(llvm::dbgs() |
| 69 | << "candidate " << candidate << " is not the nearest to " |
| 70 | << loadOp << " because " << otherStore << " is closer\n" ); |
| 71 | } |
| 72 | return rv; |
| 73 | }; |
| 74 | if (!llvm::any_of(candidateSet, nearerThan)) { |
| 75 | nearestStore = mlir::cast<WriteOp>(candidate); |
| 76 | break; |
| 77 | } |
| 78 | } |
| 79 | if (!nearestStore) { |
| 80 | LLVM_DEBUG( |
| 81 | llvm::dbgs() |
| 82 | << "load " << loadOp << " has " << candidateSet.size() |
| 83 | << " store candidates, but this algorithm can't find a best.\n" ); |
| 84 | } |
| 85 | return nearestStore; |
| 86 | } |
| 87 | |
| 88 | std::optional<ReadOp> findReadForWrite(WriteOp storeOp, |
| 89 | std::vector<ReadOp> &&loadOps) { |
| 90 | for (auto &loadOp : loadOps) { |
| 91 | if (domInfo->dominates(storeOp, loadOp)) |
| 92 | return loadOp; |
| 93 | } |
| 94 | return {}; |
| 95 | } |
| 96 | |
| 97 | private: |
| 98 | mlir::DominanceInfo *domInfo; |
| 99 | }; |
| 100 | |
| 101 | class MemDataFlowOpt : public fir::impl::MemRefDataFlowOptBase<MemDataFlowOpt> { |
| 102 | public: |
| 103 | void runOnOperation() override { |
| 104 | mlir::func::FuncOp f = getOperation(); |
| 105 | |
| 106 | auto *domInfo = &getAnalysis<mlir::DominanceInfo>(); |
| 107 | LoadStoreForwarding<fir::LoadOp, fir::StoreOp> lsf(domInfo); |
| 108 | f.walk([&](fir::LoadOp loadOp) { |
| 109 | auto maybeStore = lsf.findStoreToForward( |
| 110 | loadOp, getSpecificUsers<fir::StoreOp>(loadOp.getMemref())); |
| 111 | if (maybeStore) { |
| 112 | auto storeOp = *maybeStore; |
| 113 | LLVM_DEBUG(llvm::dbgs() << "FlangMemDataFlowOpt: In " << f.getName() |
| 114 | << " erasing load " << loadOp |
| 115 | << " with value from " << storeOp << '\n'); |
| 116 | loadOp.getResult().replaceAllUsesWith(storeOp.getValue()); |
| 117 | loadOp.erase(); |
| 118 | } |
| 119 | }); |
| 120 | f.walk([&](fir::AllocaOp alloca) { |
| 121 | for (auto &storeOp : getSpecificUsers<fir::StoreOp>(alloca.getResult())) { |
| 122 | if (!lsf.findReadForWrite( |
| 123 | storeOp, getSpecificUsers<fir::LoadOp>(storeOp.getMemref()))) { |
| 124 | LLVM_DEBUG(llvm::dbgs() << "FlangMemDataFlowOpt: In " << f.getName() |
| 125 | << " erasing store " << storeOp << '\n'); |
| 126 | storeOp.erase(); |
| 127 | } |
| 128 | } |
| 129 | }); |
| 130 | } |
| 131 | }; |
| 132 | } // namespace |
| 133 | |
| 134 | std::unique_ptr<mlir::Pass> fir::createMemDataFlowOptPass() { |
| 135 | return std::make_unique<MemDataFlowOpt>(); |
| 136 | } |
| 137 | |