//===- GreedyPatternRewriteDriver.cpp - A greedy rewriter -----------------===// // // 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 mlir::applyPatternsGreedily. // //===----------------------------------------------------------------------===// #include "mlir/IR/Builders.h" #include "mlir/IR/BuiltinOps.h" #include "mlir/IR/PatternMatch.h" #include "llvm/ADT/DenseMap.h" using namespace mlir; namespace { /// This is a worklist-driven driver for the PatternMatcher, which repeatedly /// applies the locally optimal patterns in a roughly "bottom up" way. class GreedyPatternRewriteDriver : public PatternRewriter { public: explicit GreedyPatternRewriteDriver(Function *fn, OwningRewritePatternList &&patterns) : PatternRewriter(fn->getContext()), matcher(std::move(patterns)), builder(fn) { worklist.reserve(64); // Add all operations to the worklist. fn->walk([&](Instruction *inst) { addToWorklist(inst); }); } /// Perform the rewrites. void simplifyFunction(); void addToWorklist(Instruction *op) { // Check to see if the worklist already contains this op. if (worklistMap.count(op)) return; worklistMap[op] = worklist.size(); worklist.push_back(op); } Instruction *popFromWorklist() { auto *op = worklist.back(); worklist.pop_back(); // This operation is no longer in the worklist, keep worklistMap up to date. if (op) worklistMap.erase(op); return op; } /// If the specified operation is in the worklist, remove it. If not, this is /// a no-op. void removeFromWorklist(Instruction *op) { auto it = worklistMap.find(op); if (it != worklistMap.end()) { assert(worklist[it->second] == op && "malformed worklist data structure"); worklist[it->second] = nullptr; } } // These are hooks implemented for PatternRewriter. protected: // Implement the hook for creating operations, and make sure that newly // created ops are added to the worklist for processing. Instruction *createOperation(const OperationState &state) override { auto *result = builder.createOperation(state); addToWorklist(result); return result; } // If an operation is about to be removed, make sure it is not in our // worklist anymore because we'd get dangling references to it. void notifyOperationRemoved(Instruction *op) override { removeFromWorklist(op); } // When the root of a pattern is about to be replaced, it can trigger // simplifications to its users - make sure to add them to the worklist // before the root is changed. void notifyRootReplaced(Instruction *op) override { for (auto *result : op->getResults()) // TODO: Add a result->getUsers() iterator. for (auto &user : result->getUses()) addToWorklist(user.getOwner()); // TODO: Walk the operand list dropping them as we go. If any of them // drop to zero uses, then add them to the worklist to allow them to be // deleted as dead. } private: /// The low-level pattern matcher. PatternMatcher matcher; /// This builder is used to create new operations. FuncBuilder builder; /// The worklist for this transformation keeps track of the operations that /// need to be revisited, plus their index in the worklist. This allows us to /// efficiently remove operations from the worklist when they are erased from /// the function, even if they aren't the root of a pattern. std::vector worklist; DenseMap worklistMap; /// As part of canonicalization, we move constants to the top of the entry /// block of the current function and de-duplicate them. This keeps track of /// constants we have done this for. DenseMap, Instruction *> uniquedConstants; }; }; // end anonymous namespace /// Perform the rewrites. void GreedyPatternRewriteDriver::simplifyFunction() { // These are scratch vectors used in the constant folding loop below. SmallVector operandConstants, resultConstants; SmallVector originalOperands, resultValues; while (!worklist.empty()) { auto *op = popFromWorklist(); // Nulls get added to the worklist when operations are removed, ignore them. if (op == nullptr) continue; // If we have a constant op, unique it into the entry block. if (auto constant = op->dyn_cast()) { // If this constant is dead, remove it, being careful to keep // uniquedConstants up to date. if (constant->use_empty()) { auto it = uniquedConstants.find({constant->getValue(), constant->getType()}); if (it != uniquedConstants.end() && it->second == op) uniquedConstants.erase(it); constant->erase(); continue; } // Check to see if we already have a constant with this type and value: auto &entry = uniquedConstants[std::make_pair(constant->getValue(), constant->getType())]; if (entry) { // If this constant is already our uniqued one, then leave it alone. if (entry == op) continue; // Otherwise replace this redundant constant with the uniqued one. We // know this is safe because we move constants to the top of the // function when they are uniqued, so we know they dominate all uses. constant->replaceAllUsesWith(entry->getResult(0)); constant->erase(); continue; } // If we have no entry, then we should unique this constant as the // canonical version. To ensure safe dominance, move the operation to the // top of the function. entry = op; auto &entryBB = builder.getInsertionBlock()->getFunction()->front(); op->moveBefore(&entryBB, entryBB.begin()); continue; } // If the operation has no side effects, and no users, then it is trivially // dead - remove it. if (op->hasNoSideEffect() && op->use_empty()) { op->erase(); continue; } // Check to see if any operands to the instruction is constant and whether // the operation knows how to constant fold itself. operandConstants.clear(); for (auto *operand : op->getOperands()) { Attribute operandCst; if (auto *operandOp = operand->getDefiningInst()) { if (auto operandConstantOp = operandOp->dyn_cast()) operandCst = operandConstantOp->getValue(); } operandConstants.push_back(operandCst); } // If this is a commutative binary operation with a constant on the left // side move it to the right side. if (operandConstants.size() == 2 && operandConstants[0] && !operandConstants[1] && op->isCommutative()) { std::swap(op->getInstOperand(0), op->getInstOperand(1)); std::swap(operandConstants[0], operandConstants[1]); } // If constant folding was successful, create the result constants, RAUW the // operation and remove it. resultConstants.clear(); if (!op->constantFold(operandConstants, resultConstants)) { builder.setInsertionPoint(op); for (unsigned i = 0, e = op->getNumResults(); i != e; ++i) { auto *res = op->getResult(i); if (res->use_empty()) // ignore dead uses. continue; // If we already have a canonicalized version of this constant, just // reuse it. Otherwise create a new one. Value *cstValue; auto it = uniquedConstants.find({resultConstants[i], res->getType()}); if (it != uniquedConstants.end()) cstValue = it->second->getResult(0); else cstValue = create(op->getLoc(), res->getType(), resultConstants[i]); // Add all the users of the result to the worklist so we make sure to // revisit them. // // TODO: Add a result->getUsers() iterator. for (auto &operand : op->getResult(i)->getUses()) addToWorklist(operand.getOwner()); res->replaceAllUsesWith(cstValue); } assert(op->hasNoSideEffect() && "Constant folded op with side effects?"); op->erase(); continue; } // Otherwise see if we can use the generic folder API to simplify the // operation. originalOperands.assign(op->operand_begin(), op->operand_end()); resultValues.clear(); if (!op->fold(resultValues)) { // If the result was an in-place simplification (e.g. max(x,x,y) -> // max(x,y)) then add the original operands to the worklist so we can make // sure to revisit them. if (resultValues.empty()) { // TODO: Walk the original operand list dropping them as we go. If any // of them drop to zero uses, then add them to the worklist to allow // them to be deleted as dead. } else { // Otherwise, the operation is simplified away completely. assert(resultValues.size() == op->getNumResults()); // Add all the users of the operation to the worklist so we make sure to // revisit them. // // TODO: Add a result->getUsers() iterator. for (unsigned i = 0, e = resultValues.size(); i != e; ++i) { auto *res = op->getResult(i); if (res->use_empty()) // ignore dead uses. continue; for (auto &operand : op->getResult(i)->getUses()) addToWorklist(operand.getOwner()); res->replaceAllUsesWith(resultValues[i]); } } op->erase(); continue; } // Check to see if we have any patterns that match this node. auto match = matcher.findMatch(op); if (!match.first) continue; // Make sure that any new operations are inserted at this point. builder.setInsertionPoint(op); // We know that any pattern that matched is RewritePattern because we // initialized the matcher with RewritePatterns. auto *rewritePattern = static_cast(match.first); rewritePattern->rewrite(op, std::move(match.second), *this); } uniquedConstants.clear(); } /// Rewrite the specified function by repeatedly applying the highest benefit /// patterns in a greedy work-list driven manner. /// void mlir::applyPatternsGreedily(Function *fn, OwningRewritePatternList &&patterns) { GreedyPatternRewriteDriver driver(fn, std::move(patterns)); driver.simplifyFunction(); }