| 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_range(R&: inputOperands); |
| 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(applyPatternsGreedily(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(applyPatternsGreedily(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(applyPatternsGreedily(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(applyPatternsGreedily(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(applyPatternsGreedily(funcOp.getBody(), std::move(patterns)))) |
| 226 | return signalPassFailure(); |
| 227 | return; |
| 228 | } |
| 229 | |
| 230 | if (fuseWithReshapeByCollapsingWithControlFn) { |
| 231 | RewritePatternSet patterns(context); |
| 232 | linalg::ControlFusionFn controlFn = [](OpOperand *fusedOperand) -> bool { |
| 233 | Operation *producer = fusedOperand->get().getDefiningOp(); |
| 234 | if (isa<tensor::ExpandShapeOp>(producer)) { |
| 235 | // Skip fusing the first operand. |
| 236 | return fusedOperand->getOperandNumber(); |
| 237 | } |
| 238 | Operation *consumer = fusedOperand->getOwner(); |
| 239 | if (auto collapseOp = dyn_cast<tensor::CollapseShapeOp>(consumer)) { |
| 240 | auto producerResult = dyn_cast<OpResult>(collapseOp.getSrc()); |
| 241 | // skip fusing first result. |
| 242 | return producerResult.getResultNumber(); |
| 243 | } |
| 244 | return true; |
| 245 | }; |
| 246 | linalg::populateFoldReshapeOpsByCollapsingPatterns(patterns, controlFoldingReshapes: controlFn); |
| 247 | if (failed(applyPatternsGreedily(funcOp.getBody(), std::move(patterns)))) |
| 248 | return signalPassFailure(); |
| 249 | return; |
| 250 | } |
| 251 | |
| 252 | if (fuseMultiUseProducer) { |
| 253 | RewritePatternSet patterns(context); |
| 254 | patterns.insert<TestMultiUseProducerFusion>(arg&: context); |
| 255 | if (failed(applyPatternsGreedily(funcOp.getBody(), std::move(patterns)))) |
| 256 | return signalPassFailure(); |
| 257 | return; |
| 258 | } |
| 259 | |
| 260 | if (!collapseDimensions.empty()) { |
| 261 | SmallVector<int64_t, 2> dims(collapseDimensions.begin(), |
| 262 | collapseDimensions.end()); |
| 263 | linalg::GetCollapsableDimensionsFn collapseFn = |
| 264 | [&dims](linalg::LinalgOp op) { |
| 265 | SmallVector<ReassociationIndices> reassociations; |
| 266 | reassociations.emplace_back(Args&: dims); |
| 267 | return reassociations; |
| 268 | }; |
| 269 | RewritePatternSet patterns(context); |
| 270 | linalg::populateCollapseDimensions(patterns, controlCollapseDimensions: collapseFn); |
| 271 | if (failed(applyPatternsGreedily(funcOp.getBody(), std::move(patterns)))) |
| 272 | return signalPassFailure(); |
| 273 | return; |
| 274 | } |
| 275 | } |
| 276 | }; |
| 277 | |
| 278 | } // namespace |
| 279 | |
| 280 | namespace mlir { |
| 281 | namespace test { |
| 282 | void registerTestLinalgElementwiseFusion() { |
| 283 | PassRegistration<TestLinalgElementwiseFusion>(); |
| 284 | } |
| 285 | } // namespace test |
| 286 | } // namespace mlir |
| 287 | |