| 1 | //===- SCCP.cpp - Sparse Conditional Constant Propagation -----------------===// |
| 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 | // This transformation pass performs a sparse conditional constant propagation |
| 10 | // in MLIR. It identifies values known to be constant, propagates that |
| 11 | // information throughout the IR, and replaces them. This is done with an |
| 12 | // optimistic dataflow analysis that assumes that all values are constant until |
| 13 | // proven otherwise. |
| 14 | // |
| 15 | //===----------------------------------------------------------------------===// |
| 16 | |
| 17 | #include "mlir/Transforms/Passes.h" |
| 18 | |
| 19 | #include "mlir/Analysis/DataFlow/ConstantPropagationAnalysis.h" |
| 20 | #include "mlir/Analysis/DataFlow/DeadCodeAnalysis.h" |
| 21 | #include "mlir/IR/Builders.h" |
| 22 | #include "mlir/IR/Dialect.h" |
| 23 | #include "mlir/Interfaces/SideEffectInterfaces.h" |
| 24 | #include "mlir/Pass/Pass.h" |
| 25 | #include "mlir/Transforms/FoldUtils.h" |
| 26 | |
| 27 | namespace mlir { |
| 28 | #define GEN_PASS_DEF_SCCP |
| 29 | #include "mlir/Transforms/Passes.h.inc" |
| 30 | } // namespace mlir |
| 31 | |
| 32 | using namespace mlir; |
| 33 | using namespace mlir::dataflow; |
| 34 | |
| 35 | //===----------------------------------------------------------------------===// |
| 36 | // SCCP Rewrites |
| 37 | //===----------------------------------------------------------------------===// |
| 38 | |
| 39 | /// Replace the given value with a constant if the corresponding lattice |
| 40 | /// represents a constant. Returns success if the value was replaced, failure |
| 41 | /// otherwise. |
| 42 | static LogicalResult replaceWithConstant(DataFlowSolver &solver, |
| 43 | OpBuilder &builder, |
| 44 | OperationFolder &folder, Value value) { |
| 45 | auto *lattice = solver.lookupState<Lattice<ConstantValue>>(value); |
| 46 | if (!lattice || lattice->getValue().isUninitialized()) |
| 47 | return failure(); |
| 48 | const ConstantValue &latticeValue = lattice->getValue(); |
| 49 | if (!latticeValue.getConstantValue()) |
| 50 | return failure(); |
| 51 | |
| 52 | // Attempt to materialize a constant for the given value. |
| 53 | Dialect *dialect = latticeValue.getConstantDialect(); |
| 54 | Value constant = folder.getOrCreateConstant( |
| 55 | block: builder.getInsertionBlock(), dialect, value: latticeValue.getConstantValue(), |
| 56 | type: value.getType()); |
| 57 | if (!constant) |
| 58 | return failure(); |
| 59 | |
| 60 | value.replaceAllUsesWith(newValue: constant); |
| 61 | return success(); |
| 62 | } |
| 63 | |
| 64 | /// Rewrite the given regions using the computing analysis. This replaces the |
| 65 | /// uses of all values that have been computed to be constant, and erases as |
| 66 | /// many newly dead operations. |
| 67 | static void rewrite(DataFlowSolver &solver, MLIRContext *context, |
| 68 | MutableArrayRef<Region> initialRegions) { |
| 69 | SmallVector<Block *> worklist; |
| 70 | auto addToWorklist = [&](MutableArrayRef<Region> regions) { |
| 71 | for (Region ®ion : regions) |
| 72 | for (Block &block : llvm::reverse(C&: region)) |
| 73 | worklist.push_back(Elt: &block); |
| 74 | }; |
| 75 | |
| 76 | // An operation folder used to create and unique constants. |
| 77 | OperationFolder folder(context); |
| 78 | OpBuilder builder(context); |
| 79 | |
| 80 | addToWorklist(initialRegions); |
| 81 | while (!worklist.empty()) { |
| 82 | Block *block = worklist.pop_back_val(); |
| 83 | |
| 84 | for (Operation &op : llvm::make_early_inc_range(Range&: *block)) { |
| 85 | builder.setInsertionPoint(&op); |
| 86 | |
| 87 | // Replace any result with constants. |
| 88 | bool replacedAll = op.getNumResults() != 0; |
| 89 | for (Value res : op.getResults()) |
| 90 | replacedAll &= |
| 91 | succeeded(Result: replaceWithConstant(solver, builder, folder, value: res)); |
| 92 | |
| 93 | // If all of the results of the operation were replaced, try to erase |
| 94 | // the operation completely. |
| 95 | if (replacedAll && wouldOpBeTriviallyDead(op: &op)) { |
| 96 | assert(op.use_empty() && "expected all uses to be replaced" ); |
| 97 | op.erase(); |
| 98 | continue; |
| 99 | } |
| 100 | |
| 101 | // Add any the regions of this operation to the worklist. |
| 102 | addToWorklist(op.getRegions()); |
| 103 | } |
| 104 | |
| 105 | // Replace any block arguments with constants. |
| 106 | builder.setInsertionPointToStart(block); |
| 107 | for (BlockArgument arg : block->getArguments()) |
| 108 | (void)replaceWithConstant(solver, builder, folder, value: arg); |
| 109 | } |
| 110 | } |
| 111 | |
| 112 | //===----------------------------------------------------------------------===// |
| 113 | // SCCP Pass |
| 114 | //===----------------------------------------------------------------------===// |
| 115 | |
| 116 | namespace { |
| 117 | struct SCCP : public impl::SCCPBase<SCCP> { |
| 118 | void runOnOperation() override; |
| 119 | }; |
| 120 | } // namespace |
| 121 | |
| 122 | void SCCP::runOnOperation() { |
| 123 | Operation *op = getOperation(); |
| 124 | |
| 125 | DataFlowSolver solver; |
| 126 | solver.load<DeadCodeAnalysis>(); |
| 127 | solver.load<SparseConstantPropagation>(); |
| 128 | if (failed(Result: solver.initializeAndRun(top: op))) |
| 129 | return signalPassFailure(); |
| 130 | rewrite(solver, context: op->getContext(), initialRegions: op->getRegions()); |
| 131 | } |
| 132 | |
| 133 | std::unique_ptr<Pass> mlir::createSCCPPass() { |
| 134 | return std::make_unique<SCCP>(); |
| 135 | } |
| 136 | |