[win/asan] GetInstructionSize: Make `83 EC XX` a generic entry. (#119537)
[llvm-project.git] / mlir / test / lib / Dialect / Linalg / TestLinalgTransforms.cpp
blob25aec75c3c14adef1a2b277c5bee8abb5fcf7140
1 //===- TestLinalgTransforms.cpp - Test Linalg transformation patterns -----===//
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 logic for testing Linalg transformations.
11 //===----------------------------------------------------------------------===//
13 #include "mlir/Dialect/Affine/IR/AffineOps.h"
14 #include "mlir/Dialect/Arith/IR/Arith.h"
15 #include "mlir/Dialect/Bufferization/IR/Bufferization.h"
16 #include "mlir/Dialect/Func/IR/FuncOps.h"
17 #include "mlir/Dialect/GPU/IR/GPUDialect.h"
18 #include "mlir/Dialect/Linalg/IR/Linalg.h"
19 #include "mlir/Dialect/Linalg/Passes.h"
20 #include "mlir/Dialect/Linalg/Transforms/Hoisting.h"
21 #include "mlir/Dialect/Linalg/Transforms/Transforms.h"
22 #include "mlir/Dialect/Linalg/Utils/Utils.h"
23 #include "mlir/Dialect/Vector/IR/VectorOps.h"
24 #include "mlir/Pass/PassManager.h"
25 #include "mlir/Transforms/GreedyPatternRewriteDriver.h"
27 #include "llvm/ADT/SmallVector.h"
29 using namespace mlir;
30 using namespace mlir::linalg;
32 namespace {
33 struct TestLinalgTransforms
34 : public PassWrapper<TestLinalgTransforms, OperationPass<func::FuncOp>> {
35 MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestLinalgTransforms)
37 TestLinalgTransforms() = default;
38 TestLinalgTransforms(const TestLinalgTransforms &pass) : PassWrapper(pass) {}
40 void getDependentDialects(DialectRegistry &registry) const override {
41 // clang-format off
42 registry.insert<affine::AffineDialect,
43 bufferization::BufferizationDialect,
44 memref::MemRefDialect,
45 scf::SCFDialect,
46 linalg::LinalgDialect,
47 vector::VectorDialect,
48 gpu::GPUDialect>();
49 // clang-format on
51 StringRef getArgument() const final {
52 return "test-linalg-transform-patterns";
54 StringRef getDescription() const final {
55 return "Test Linalg transformation patterns by applying them greedily.";
58 void runOnOperation() override;
60 Option<bool> testPatterns{*this, "test-patterns",
61 llvm::cl::desc("Test a mixed set of patterns"),
62 llvm::cl::init(false)};
63 Option<bool> testVectorTransferForwardingPatterns{
64 *this, "test-vector-transfer-forwarding-patterns",
65 llvm::cl::desc(
66 "Test a fused pass that forwards memref.copy to vector.transfer"),
67 llvm::cl::init(false)};
68 Option<bool> testGenericToVectorPattern{
69 *this, "test-linalg-to-vector-patterns",
70 llvm::cl::desc("Test a set of patterns that rewrite a linalg contraction "
71 "in vector.contract form"),
72 llvm::cl::init(false)};
73 Option<bool> testDecomposePadTensor{
74 *this, "test-decompose-pad-tensor",
75 llvm::cl::desc("Test transform pad tensor by copying with generic ops"),
76 llvm::cl::init(false)};
77 Option<bool> testDecomposeTensorPackOp{
78 *this, "test-decompose-tensor-pack",
79 llvm::cl::desc("Test transform that generalizes pack ops into a sequence "
80 "of tensor and Linalg ops"),
81 llvm::cl::init(false)};
82 Option<bool> testDecomposeTensorUnPackOp{
83 *this, "test-decompose-tensor-unpack",
84 llvm::cl::desc(
85 "Test transform that generalizes unpack ops into a sequence "
86 "of tensor and Linalg ops"),
87 llvm::cl::init(false)};
88 Option<bool> testSwapSubTensorPadTensor{
89 *this, "test-swap-subtensor-padtensor",
90 llvm::cl::desc("Test rewrite of subtensor(tensor.pad) into "
91 "tensor.pad(subtensor)"),
92 llvm::cl::init(false)};
93 ListOption<int64_t> peeledLoops{
94 *this, "peeled-loops",
95 llvm::cl::desc("Loops to be peeled when test-tile-pattern")};
96 ListOption<int64_t> tileSizes{
97 *this, "tile-sizes",
98 llvm::cl::desc("Linalg tile sizes for test-tile-pattern")};
99 Option<bool> skipPartial{
100 *this, "skip-partial",
101 llvm::cl::desc("Skip loops inside partial iterations during peeling"),
102 llvm::cl::init(false)};
103 Option<std::string> loopType{
104 *this, "loop-type",
105 llvm::cl::desc("Specify the type of loops to generate: for, parallel or "
106 "tiled_loop"),
107 llvm::cl::init("for")};
108 Option<bool> testBubbleUpExtractSliceOpPattern{
109 *this, "test-bubble-up-extract-slice-op-pattern",
110 llvm::cl::desc("Test rewrite of linalgOp + extract_slice into "
111 "extract_slice + linalgOp"),
112 llvm::cl::init(false)};
113 Option<bool> testSwapExtractSliceWithFill{
114 *this, "test-swap-extract-slice-with-fill-pattern",
115 llvm::cl::desc(
116 "Test patterns to swap tensor.extract_slice(linalg.fill())"),
117 llvm::cl::init(false)};
118 Option<bool> testEraseUnusedOperandsAndResults{
119 *this, "test-erase-unused-operands-and-results",
120 llvm::cl::desc("Test patterns to erase unused operands and results"),
121 llvm::cl::init(false)};
122 Option<bool> testEraseUnnecessaryInputs{
123 *this, "test-erase-unnecessary-inputs",
124 llvm::cl::desc("Test patterns to erase unnecessary inputs"),
125 llvm::cl::init(false)};
126 Option<bool> testWinogradConv2D{
127 *this, "test-winograd-conv2d",
128 llvm::cl::desc("Test transform conv2d by Winograd conv2d algorithm"),
129 llvm::cl::init(false)};
130 Option<bool> testDecomposeWinogradOps{
131 *this, "test-decompose-winograd-ops",
132 llvm::cl::desc("Test decompose Winograd ops"), llvm::cl::init(false)};
134 } // namespace
136 static void applyPatterns(func::FuncOp funcOp) {
137 MLIRContext *ctx = funcOp.getContext();
138 RewritePatternSet patterns(ctx);
140 //===--------------------------------------------------------------------===//
141 // Linalg distribution patterns.
142 //===--------------------------------------------------------------------===//
143 LinalgLoopDistributionOptions distributionOptions;
145 //===--------------------------------------------------------------------===//
146 // Linalg to vector contraction patterns.
147 //===--------------------------------------------------------------------===//
148 patterns.add<CopyVectorizationPattern>(ctx);
150 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
153 static void applyVectorTransferForwardingPatterns(func::FuncOp funcOp) {
154 RewritePatternSet forwardPattern(funcOp.getContext());
155 forwardPattern.add<LinalgCopyVTRForwardingPattern>(funcOp.getContext());
156 forwardPattern.add<LinalgCopyVTWForwardingPattern>(funcOp.getContext());
157 (void)applyPatternsAndFoldGreedily(funcOp, std::move(forwardPattern));
160 static void applyLinalgToVectorPatterns(func::FuncOp funcOp) {
161 RewritePatternSet patterns(funcOp.getContext());
162 auto *ctx = funcOp.getContext();
163 patterns.add<CopyVectorizationPattern>(ctx);
164 populatePadOpVectorizationPatterns(patterns);
165 populateConvolutionVectorizationPatterns(patterns);
166 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
169 static void applyDecomposePadPatterns(func::FuncOp funcOp) {
170 RewritePatternSet patterns(funcOp.getContext());
171 patterns.add<DecomposePadOpPattern>(funcOp.getContext());
172 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
175 static void applyDecomposeTensorPackPatterns(func::FuncOp funcOp) {
176 RewritePatternSet patterns(funcOp.getContext());
177 patterns.add<DecomposeOuterUnitDimsPackOpPattern>(funcOp.getContext());
178 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
181 static void applyDecomposeTensorUnPackPatterns(func::FuncOp funcOp) {
182 RewritePatternSet patterns(funcOp.getContext());
183 patterns.add<DecomposeOuterUnitDimsUnPackOpPattern>(funcOp.getContext());
184 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
187 static void applyExtractSliceOfPadTensorSwapPattern(func::FuncOp funcOp) {
188 RewritePatternSet patterns(funcOp.getContext());
189 patterns.add<ExtractSliceOfPadTensorSwapPattern>(funcOp.getContext());
190 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
193 static void applyBubbleUpExtractSliceOpPattern(func::FuncOp funcOp) {
194 RewritePatternSet patterns(funcOp.getContext());
195 populateBubbleUpExtractSliceOpPatterns(patterns);
196 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
199 static void applySwapExtractSliceWithFillPattern(func::FuncOp funcOp) {
200 RewritePatternSet patterns(funcOp.getContext());
201 populateSwapExtractSliceWithFillPatterns(patterns);
202 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
205 static void applyEraseUnusedOperandsAndResultsPatterns(func::FuncOp funcOp) {
206 RewritePatternSet patterns(funcOp.getContext());
207 populateEraseUnusedOperandsAndResultsPatterns(patterns);
208 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
211 static void applyEraseUnnecessaryInputs(func::FuncOp funcOp) {
212 RewritePatternSet patterns(funcOp.getContext());
213 populateEraseUnnecessaryInputsPatterns(patterns);
214 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
217 static void applyWinogradConv2D(func::FuncOp funcOp) {
218 RewritePatternSet patterns(funcOp.getContext());
219 populateWinogradConv2DPatterns(patterns, /*m=*/4, /*r=*/3);
220 populateWinogradConv2DPatterns(patterns, /*m=*/2, /*r=*/5);
221 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
224 static void applyDecomposeWinogradOps(func::FuncOp funcOp) {
225 RewritePatternSet patterns(funcOp.getContext());
226 populateDecomposeWinogradOpsPatterns(patterns);
227 (void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
230 /// Apply transformations specified as patterns.
231 void TestLinalgTransforms::runOnOperation() {
232 if (testPatterns)
233 return applyPatterns(getOperation());
234 if (testVectorTransferForwardingPatterns)
235 return applyVectorTransferForwardingPatterns(getOperation());
236 if (testGenericToVectorPattern)
237 return applyLinalgToVectorPatterns(getOperation());
238 if (testDecomposePadTensor)
239 return applyDecomposePadPatterns(getOperation());
240 if (testDecomposeTensorPackOp)
241 return applyDecomposeTensorPackPatterns(getOperation());
242 if (testDecomposeTensorUnPackOp)
243 return applyDecomposeTensorUnPackPatterns(getOperation());
244 if (testSwapSubTensorPadTensor)
245 return applyExtractSliceOfPadTensorSwapPattern(getOperation());
246 if (testBubbleUpExtractSliceOpPattern)
247 return applyBubbleUpExtractSliceOpPattern(getOperation());
248 if (testSwapExtractSliceWithFill)
249 return applySwapExtractSliceWithFillPattern(getOperation());
250 if (testEraseUnusedOperandsAndResults)
251 return applyEraseUnusedOperandsAndResultsPatterns(getOperation());
252 if (testEraseUnnecessaryInputs)
253 return applyEraseUnnecessaryInputs(getOperation());
254 if (testWinogradConv2D)
255 return applyWinogradConv2D(getOperation());
256 if (testDecomposeWinogradOps)
257 return applyDecomposeWinogradOps(getOperation());
260 namespace mlir {
261 namespace test {
262 void registerTestLinalgTransforms() {
263 PassRegistration<TestLinalgTransforms>();
265 } // namespace test
266 } // namespace mlir