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 | |