1 //===- SparseTensorPasses.cpp - Pass for autogen sparse tensor code -------===//
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 #include "mlir/Dialect/Affine/IR/AffineOps.h"
10 #include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
11 #include "mlir/Dialect/Bufferization/IR/Bufferization.h"
12 #include "mlir/Dialect/Complex/IR/Complex.h"
13 #include "mlir/Dialect/Func/IR/FuncOps.h"
14 #include "mlir/Dialect/Func/Transforms/FuncConversions.h"
15 #include "mlir/Dialect/LLVMIR/LLVMDialect.h"
16 #include "mlir/Dialect/Linalg/Transforms/Transforms.h"
17 #include "mlir/Dialect/SparseTensor/IR/SparseTensor.h"
18 #include "mlir/Dialect/SparseTensor/Transforms/Passes.h"
19 #include "mlir/Dialect/Tensor/IR/Tensor.h"
20 #include "mlir/Transforms/GreedyPatternRewriteDriver.h"
21 
22 using namespace mlir;
23 using namespace mlir::sparse_tensor;
24 
25 namespace {
26 
27 //===----------------------------------------------------------------------===//
28 // Passes declaration.
29 //===----------------------------------------------------------------------===//
30 
31 #define GEN_PASS_CLASSES
32 #include "mlir/Dialect/SparseTensor/Transforms/Passes.h.inc"
33 
34 //===----------------------------------------------------------------------===//
35 // Passes implementation.
36 //===----------------------------------------------------------------------===//
37 
38 struct SparsificationPass : public SparsificationBase<SparsificationPass> {
39 
40   SparsificationPass() = default;
41   SparsificationPass(const SparsificationPass &pass) = default;
42   SparsificationPass(const SparsificationOptions &options) {
43     parallelization = static_cast<int32_t>(options.parallelizationStrategy);
44     vectorization = static_cast<int32_t>(options.vectorizationStrategy);
45     vectorLength = options.vectorLength;
46     enableSIMDIndex32 = options.enableSIMDIndex32;
47     enableVLAVectorization = options.enableVLAVectorization;
48   }
49 
50   void runOnOperation() override {
51     auto *ctx = &getContext();
52     RewritePatternSet patterns(ctx);
53     // Translate strategy flags to strategy options.
54     SparsificationOptions options(
55         sparseParallelizationStrategy(parallelization),
56         sparseVectorizationStrategy(vectorization), vectorLength,
57         enableSIMDIndex32, enableVLAVectorization);
58     // Apply rewriting.
59     populateSparsificationPatterns(patterns, options);
60     vector::populateVectorToVectorCanonicalizationPatterns(patterns);
61     (void)applyPatternsAndFoldGreedily(getOperation(), std::move(patterns));
62   }
63 };
64 
65 class SparseTensorTypeConverter : public TypeConverter {
66 public:
67   SparseTensorTypeConverter() {
68     addConversion([](Type type) { return type; });
69     addConversion(convertSparseTensorTypes);
70   }
71   // Maps each sparse tensor type to an opaque pointer.
72   static Optional<Type> convertSparseTensorTypes(Type type) {
73     if (getSparseTensorEncoding(type) != nullptr)
74       return LLVM::LLVMPointerType::get(IntegerType::get(type.getContext(), 8));
75     return llvm::None;
76   }
77 };
78 
79 struct SparseTensorConversionPass
80     : public SparseTensorConversionBase<SparseTensorConversionPass> {
81 
82   SparseTensorConversionPass() = default;
83   SparseTensorConversionPass(const SparseTensorConversionPass &pass) = default;
84   SparseTensorConversionPass(const SparseTensorConversionOptions &options) {
85     sparseToSparse = static_cast<int32_t>(options.sparseToSparseStrategy);
86   }
87 
88   void runOnOperation() override {
89     auto *ctx = &getContext();
90     RewritePatternSet patterns(ctx);
91     SparseTensorTypeConverter converter;
92     ConversionTarget target(*ctx);
93     // Everything in the sparse dialect must go!
94     target.addIllegalDialect<SparseTensorDialect>();
95     // All dynamic rules below accept new function, call, return, and tensor
96     // dim and cast operations as legal output of the rewriting provided that
97     // all sparse tensor types have been fully rewritten.
98     target.addDynamicallyLegalOp<func::FuncOp>([&](func::FuncOp op) {
99       return converter.isSignatureLegal(op.getFunctionType());
100     });
101     target.addDynamicallyLegalOp<func::CallOp>([&](func::CallOp op) {
102       return converter.isSignatureLegal(op.getCalleeType());
103     });
104     target.addDynamicallyLegalOp<func::ReturnOp>([&](func::ReturnOp op) {
105       return converter.isLegal(op.getOperandTypes());
106     });
107     target.addDynamicallyLegalOp<tensor::DimOp>([&](tensor::DimOp op) {
108       return converter.isLegal(op.getOperandTypes());
109     });
110     target.addDynamicallyLegalOp<tensor::CastOp>([&](tensor::CastOp op) {
111       return converter.isLegal(op.getOperand().getType());
112     });
113     // The following operations and dialects may be introduced by the
114     // rewriting rules, and are therefore marked as legal.
115     target.addLegalOp<arith::CmpFOp, arith::CmpIOp, arith::ConstantOp,
116                       arith::IndexCastOp, complex::ConstantOp,
117                       complex::NotEqualOp, linalg::FillOp, linalg::YieldOp,
118                       tensor::ExtractOp>();
119     target
120         .addLegalDialect<bufferization::BufferizationDialect, LLVM::LLVMDialect,
121                          memref::MemRefDialect, scf::SCFDialect>();
122     target.addIllegalOp<bufferization::AllocTensorOp>();
123     // Translate strategy flags to strategy options.
124     SparseTensorConversionOptions options(
125         sparseToSparseConversionStrategy(sparseToSparse));
126     // Populate with rules and apply rewriting rules.
127     populateFunctionOpInterfaceTypeConversionPattern<func::FuncOp>(patterns,
128                                                                    converter);
129     populateCallOpTypeConversionPattern(patterns, converter);
130     populateSparseTensorConversionPatterns(converter, patterns, options);
131     if (failed(applyPartialConversion(getOperation(), target,
132                                       std::move(patterns))))
133       signalPassFailure();
134   }
135 };
136 
137 } // namespace
138 
139 SparseParallelizationStrategy
140 mlir::sparseParallelizationStrategy(int32_t flag) {
141   switch (flag) {
142   default:
143     return SparseParallelizationStrategy::kNone;
144   case 1:
145     return SparseParallelizationStrategy::kDenseOuterLoop;
146   case 2:
147     return SparseParallelizationStrategy::kAnyStorageOuterLoop;
148   case 3:
149     return SparseParallelizationStrategy::kDenseAnyLoop;
150   case 4:
151     return SparseParallelizationStrategy::kAnyStorageAnyLoop;
152   }
153 }
154 
155 SparseVectorizationStrategy mlir::sparseVectorizationStrategy(int32_t flag) {
156   switch (flag) {
157   default:
158     return SparseVectorizationStrategy::kNone;
159   case 1:
160     return SparseVectorizationStrategy::kDenseInnerLoop;
161   case 2:
162     return SparseVectorizationStrategy::kAnyStorageInnerLoop;
163   }
164 }
165 
166 SparseToSparseConversionStrategy
167 mlir::sparseToSparseConversionStrategy(int32_t flag) {
168   switch (flag) {
169   default:
170     return SparseToSparseConversionStrategy::kAuto;
171   case 1:
172     return SparseToSparseConversionStrategy::kViaCOO;
173   case 2:
174     return SparseToSparseConversionStrategy::kDirect;
175   }
176 }
177 
178 std::unique_ptr<Pass> mlir::createSparsificationPass() {
179   return std::make_unique<SparsificationPass>();
180 }
181 
182 std::unique_ptr<Pass>
183 mlir::createSparsificationPass(const SparsificationOptions &options) {
184   return std::make_unique<SparsificationPass>(options);
185 }
186 
187 std::unique_ptr<Pass> mlir::createSparseTensorConversionPass() {
188   return std::make_unique<SparseTensorConversionPass>();
189 }
190 
191 std::unique_ptr<Pass> mlir::createSparseTensorConversionPass(
192     const SparseTensorConversionOptions &options) {
193   return std::make_unique<SparseTensorConversionPass>(options);
194 }
195