1 | //===- TestLinalgElementwiseFusion.cpp - Test Linalg elementwise fusion ---===// |
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 file implements a pass for testing fusion of elementwise operations in |
10 | // Linalg, mainly linalg options. |
11 | // |
12 | //===----------------------------------------------------------------------===// |
13 | |
14 | #include "mlir/Dialect/Affine/IR/AffineOps.h" |
15 | #include "mlir/Dialect/Func/IR/FuncOps.h" |
16 | #include "mlir/Dialect/Linalg/Transforms/Transforms.h" |
17 | #include "mlir/Pass/Pass.h" |
18 | #include "mlir/Pass/PassManager.h" |
19 | #include "mlir/Transforms/GreedyPatternRewriteDriver.h" |
20 | #include "llvm/ADT/TypeSwitch.h" |
21 | |
22 | using namespace mlir; |
23 | |
24 | static void addOperands(Operation *op, SetVector<Value> &operandSet) { |
25 | if (!op) |
26 | return; |
27 | TypeSwitch<Operation *, void>(op) |
28 | .Case<linalg::LinalgOp>(caseFn: [&](linalg::LinalgOp linalgOp) { |
29 | SmallVector<Value> inputOperands = linalgOp.getDpsInputs(); |
30 | operandSet.insert(Start: inputOperands.begin(), End: inputOperands.end()); |
31 | }) |
32 | .Default(defaultFn: [&](Operation *operation) { |
33 | operandSet.insert(Start: operation->operand_begin(), End: operation->operand_end()); |
34 | }); |
35 | } |
36 | |
37 | template <int limit = 3> |
38 | static bool setFusedOpOperandLimit(OpOperand *fusedOperand) { |
39 | Operation *producer = fusedOperand->get().getDefiningOp(); |
40 | if (!producer) |
41 | return false; |
42 | |
43 | Operation *consumer = fusedOperand->getOwner(); |
44 | SetVector<Value> fusedOpOperands; |
45 | if (producer->getNumResults() != 1) |
46 | return false; |
47 | addOperands(op: consumer, operandSet&: fusedOpOperands); |
48 | fusedOpOperands.remove(X: producer->getResult(idx: 0)); |
49 | addOperands(op: producer, operandSet&: fusedOpOperands); |
50 | return fusedOpOperands.size() <= limit; |
51 | } |
52 | |
53 | namespace { |
54 | |
55 | /// Pattern to test fusion of producer with consumer, even if producer has |
56 | /// multiple uses. |
57 | struct TestMultiUseProducerFusion : public OpRewritePattern<linalg::GenericOp> { |
58 | using OpRewritePattern<linalg::GenericOp>::OpRewritePattern; |
59 | |
60 | LogicalResult matchAndRewrite(linalg::GenericOp genericOp, |
61 | PatternRewriter &rewriter) const override { |
62 | OpOperand *fusableOperand = nullptr; |
63 | for (OpOperand &operand : genericOp->getOpOperands()) { |
64 | if (linalg::areElementwiseOpsFusable(&operand)) { |
65 | fusableOperand = &operand; |
66 | break; |
67 | } |
68 | } |
69 | if (!fusableOperand) { |
70 | return rewriter.notifyMatchFailure(genericOp, "no fusable operand found" ); |
71 | } |
72 | std::optional<linalg::ElementwiseOpFusionResult> fusionResult = |
73 | linalg::fuseElementwiseOps(rewriter, fusedOperand: fusableOperand); |
74 | if (!fusionResult) |
75 | return rewriter.notifyMatchFailure(genericOp, "fusion failed" ); |
76 | for (auto [origValue, replacement] : fusionResult->replacements) { |
77 | rewriter.replaceUsesWithIf(origValue, replacement, [&](OpOperand &use) { |
78 | return use.getOwner() != genericOp.getOperation(); |
79 | }); |
80 | } |
81 | rewriter.eraseOp(op: genericOp); |
82 | return success(); |
83 | } |
84 | }; |
85 | |
86 | struct TestLinalgElementwiseFusion |
87 | : public PassWrapper<TestLinalgElementwiseFusion, |
88 | OperationPass<func::FuncOp>> { |
89 | MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestLinalgElementwiseFusion) |
90 | |
91 | TestLinalgElementwiseFusion() = default; |
92 | TestLinalgElementwiseFusion(const TestLinalgElementwiseFusion &pass) |
93 | : PassWrapper(pass) {} |
94 | void getDependentDialects(DialectRegistry ®istry) const override { |
95 | registry.insert<affine::AffineDialect, linalg::LinalgDialect, |
96 | memref::MemRefDialect, tensor::TensorDialect>(); |
97 | } |
98 | StringRef getArgument() const final { |
99 | return "test-linalg-elementwise-fusion-patterns" ; |
100 | } |
101 | StringRef getDescription() const final { |
102 | return "Test Linalg element wise operation fusion patterns" ; |
103 | } |
104 | |
105 | Option<bool> fuseGenericOps{ |
106 | *this, "fuse-generic-ops" , |
107 | llvm::cl::desc("Test fusion of generic operations." ), |
108 | llvm::cl::init(Val: false)}; |
109 | |
110 | Option<bool> fuseGenericOpsControl{ |
111 | *this, "fuse-generic-ops-control" , |
112 | llvm::cl::desc( |
113 | "Test fusion of generic operations with a control function." ), |
114 | llvm::cl::init(Val: false)}; |
115 | |
116 | Option<bool> fuseWithReshapeByExpansion{ |
117 | *this, "fuse-with-reshape-by-expansion" , |
118 | llvm::cl::desc( |
119 | "Test fusion of generic operations with reshape by expansion" ), |
120 | llvm::cl::init(Val: false)}; |
121 | |
122 | Option<bool> controlFuseByExpansion{ |
123 | *this, "control-fusion-by-expansion" , |
124 | llvm::cl::desc( |
125 | "Test controlling fusion of reshape with generic op by expansion" ), |
126 | llvm::cl::init(Val: false)}; |
127 | |
128 | Option<bool> fuseWithReshapeByCollapsing{ |
129 | *this, "fuse-with-reshape-by-collapsing" , |
130 | llvm::cl::desc("Test linalg expand_shape -> generic fusion patterns that " |
131 | "collapse the iteration space of the consumer" ), |
132 | llvm::cl::init(Val: false)}; |
133 | |
134 | Option<bool> fuseWithReshapeByCollapsingWithControlFn{ |
135 | *this, "fuse-with-reshape-by-collapsing-control" , |
136 | llvm::cl::desc("Test controlling the linalg expand_shape -> generic " |
137 | "fusion patterns that " |
138 | "collapse the iteration space of the consumer" ), |
139 | llvm::cl::init(Val: false)}; |
140 | |
141 | Option<bool> fuseMultiUseProducer{ |
142 | *this, "fuse-multiuse-producer" , |
143 | llvm::cl::desc("Test fusion of producer ops with multiple uses" ), |
144 | llvm::cl::init(Val: false)}; |
145 | |
146 | ListOption<int64_t> collapseDimensions{ |
147 | *this, "collapse-dimensions-control" , |
148 | llvm::cl::desc("Test controlling dimension collapse pattern" )}; |
149 | |
150 | void runOnOperation() override { |
151 | MLIRContext *context = &this->getContext(); |
152 | func::FuncOp funcOp = this->getOperation(); |
153 | |
154 | if (fuseGenericOps) { |
155 | RewritePatternSet fusionPatterns(context); |
156 | auto controlFn = [](OpOperand *operand) { return true; }; |
157 | linalg::populateElementwiseOpsFusionPatterns(patterns&: fusionPatterns, controlElementwiseOpFusion: controlFn); |
158 | if (failed(applyPatternsAndFoldGreedily(funcOp.getBody(), |
159 | std::move(fusionPatterns)))) |
160 | return signalPassFailure(); |
161 | return; |
162 | } |
163 | |
164 | if (fuseGenericOpsControl) { |
165 | RewritePatternSet fusionPatterns(context); |
166 | linalg::populateElementwiseOpsFusionPatterns(patterns&: fusionPatterns, |
167 | controlElementwiseOpFusion: setFusedOpOperandLimit<4>); |
168 | |
169 | if (failed(applyPatternsAndFoldGreedily(funcOp.getBody(), |
170 | std::move(fusionPatterns)))) |
171 | return signalPassFailure(); |
172 | return; |
173 | } |
174 | |
175 | if (fuseWithReshapeByExpansion) { |
176 | RewritePatternSet fusionPatterns(context); |
177 | linalg::populateFoldReshapeOpsByExpansionPatterns( |
178 | patterns&: fusionPatterns, controlFoldingReshapes: [](OpOperand * /*fusedOperand*/) { return true; }); |
179 | if (failed(applyPatternsAndFoldGreedily(funcOp.getBody(), |
180 | std::move(fusionPatterns)))) |
181 | return signalPassFailure(); |
182 | return; |
183 | } |
184 | |
185 | if (controlFuseByExpansion) { |
186 | RewritePatternSet fusionPatterns(context); |
187 | |
188 | linalg::ControlFusionFn controlReshapeFusionFn = |
189 | [](OpOperand *fusedOperand) { |
190 | Operation *producer = fusedOperand->get().getDefiningOp(); |
191 | if (!producer) |
192 | return false; |
193 | |
194 | if (auto collapseOp = dyn_cast<tensor::CollapseShapeOp>(producer)) { |
195 | if (!collapseOp.getSrc().getDefiningOp<linalg::LinalgOp>()) { |
196 | return false; |
197 | } |
198 | } |
199 | |
200 | Operation *consumer = fusedOperand->getOwner(); |
201 | if (auto expandOp = dyn_cast<tensor::ExpandShapeOp>(consumer)) { |
202 | if (expandOp->hasOneUse()) { |
203 | OpOperand &use = *expandOp->getUses().begin(); |
204 | auto linalgOp = dyn_cast<linalg::LinalgOp>(use.getOwner()); |
205 | if (linalgOp && linalgOp.isDpsInit(&use)) |
206 | return true; |
207 | } |
208 | return false; |
209 | } |
210 | return true; |
211 | }; |
212 | |
213 | linalg::populateFoldReshapeOpsByExpansionPatterns(patterns&: fusionPatterns, |
214 | controlFoldingReshapes: controlReshapeFusionFn); |
215 | if (failed(applyPatternsAndFoldGreedily(funcOp.getBody(), |
216 | std::move(fusionPatterns)))) |
217 | return signalPassFailure(); |
218 | return; |
219 | } |
220 | |
221 | if (fuseWithReshapeByCollapsing) { |
222 | RewritePatternSet patterns(context); |
223 | linalg::populateFoldReshapeOpsByCollapsingPatterns( |
224 | patterns, controlFoldingReshapes: [](OpOperand * /*fusedOperand */) { return true; }); |
225 | if (failed(applyPatternsAndFoldGreedily(funcOp.getBody(), |
226 | std::move(patterns)))) |
227 | return signalPassFailure(); |
228 | return; |
229 | } |
230 | |
231 | if (fuseWithReshapeByCollapsingWithControlFn) { |
232 | RewritePatternSet patterns(context); |
233 | linalg::ControlFusionFn controlFn = [](OpOperand *fusedOperand) -> bool { |
234 | Operation *producer = fusedOperand->get().getDefiningOp(); |
235 | if (isa<tensor::ExpandShapeOp>(producer)) { |
236 | // Skip fusing the first operand. |
237 | return fusedOperand->getOperandNumber(); |
238 | } |
239 | return true; |
240 | }; |
241 | linalg::populateFoldReshapeOpsByCollapsingPatterns(patterns, controlFoldingReshapes: controlFn); |
242 | if (failed(applyPatternsAndFoldGreedily(funcOp.getBody(), |
243 | std::move(patterns)))) |
244 | return signalPassFailure(); |
245 | return; |
246 | } |
247 | |
248 | if (fuseMultiUseProducer) { |
249 | RewritePatternSet patterns(context); |
250 | patterns.insert<TestMultiUseProducerFusion>(arg&: context); |
251 | if (failed(applyPatternsAndFoldGreedily(funcOp.getBody(), |
252 | std::move(patterns)))) |
253 | return signalPassFailure(); |
254 | return; |
255 | } |
256 | |
257 | if (!collapseDimensions.empty()) { |
258 | SmallVector<int64_t, 2> dims(collapseDimensions.begin(), |
259 | collapseDimensions.end()); |
260 | linalg::GetCollapsableDimensionsFn collapseFn = |
261 | [&dims](linalg::LinalgOp op) { |
262 | SmallVector<ReassociationIndices> reassociations; |
263 | reassociations.emplace_back(Args&: dims); |
264 | return reassociations; |
265 | }; |
266 | RewritePatternSet patterns(context); |
267 | linalg::populateCollapseDimensions(patterns, controlCollapseDimensions: collapseFn); |
268 | if (failed(applyPatternsAndFoldGreedily(funcOp.getBody(), |
269 | std::move(patterns)))) |
270 | return signalPassFailure(); |
271 | return; |
272 | } |
273 | } |
274 | }; |
275 | |
276 | } // namespace |
277 | |
278 | namespace mlir { |
279 | namespace test { |
280 | void registerTestLinalgElementwiseFusion() { |
281 | PassRegistration<TestLinalgElementwiseFusion>(); |
282 | } |
283 | } // namespace test |
284 | } // namespace mlir |
285 | |