1 | //===- VectorInsertExtractStridedSliceRewritePatterns.cpp - Rewrites ------===// |
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/Arith/IR/Arith.h" |
10 | #include "mlir/Dialect/MemRef/IR/MemRef.h" |
11 | #include "mlir/Dialect/Utils/IndexingUtils.h" |
12 | #include "mlir/Dialect/Vector/IR/VectorOps.h" |
13 | #include "mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h" |
14 | #include "mlir/Dialect/Vector/Utils/VectorUtils.h" |
15 | #include "mlir/IR/BuiltinTypes.h" |
16 | #include "mlir/IR/PatternMatch.h" |
17 | |
18 | using namespace mlir; |
19 | using namespace mlir::vector; |
20 | |
21 | // Helper that picks the proper sequence for inserting. |
22 | static Value insertOne(PatternRewriter &rewriter, Location loc, Value from, |
23 | Value into, int64_t offset) { |
24 | auto vectorType = cast<VectorType>(into.getType()); |
25 | if (vectorType.getRank() > 1) |
26 | return rewriter.create<InsertOp>(loc, from, into, offset); |
27 | return rewriter.create<vector::InsertElementOp>( |
28 | loc, vectorType, from, into, |
29 | rewriter.create<arith::ConstantIndexOp>(loc, offset)); |
30 | } |
31 | |
32 | // Helper that picks the proper sequence for extracting. |
33 | static Value (PatternRewriter &rewriter, Location loc, Value vector, |
34 | int64_t offset) { |
35 | auto vectorType = cast<VectorType>(vector.getType()); |
36 | if (vectorType.getRank() > 1) |
37 | return rewriter.create<ExtractOp>(loc, vector, offset); |
38 | return rewriter.create<vector::ExtractElementOp>( |
39 | loc, vectorType.getElementType(), vector, |
40 | rewriter.create<arith::ConstantIndexOp>(loc, offset)); |
41 | } |
42 | |
43 | /// RewritePattern for InsertStridedSliceOp where source and destination vectors |
44 | /// have different ranks. |
45 | /// |
46 | /// When ranks are different, InsertStridedSlice needs to extract a properly |
47 | /// ranked vector from the destination vector into which to insert. This pattern |
48 | /// only takes care of this extraction part and forwards the rest to |
49 | /// [ConvertSameRankInsertStridedSliceIntoShuffle]. |
50 | /// |
51 | /// For a k-D source and n-D destination vector (k < n), we emit: |
52 | /// 1. ExtractOp to extract the (unique) (n-1)-D subvector into which to |
53 | /// insert the k-D source. |
54 | /// 2. k-D -> (n-1)-D InsertStridedSlice op |
55 | /// 3. InsertOp that is the reverse of 1. |
56 | class DecomposeDifferentRankInsertStridedSlice |
57 | : public OpRewritePattern<InsertStridedSliceOp> { |
58 | public: |
59 | using OpRewritePattern<InsertStridedSliceOp>::OpRewritePattern; |
60 | |
61 | LogicalResult matchAndRewrite(InsertStridedSliceOp op, |
62 | PatternRewriter &rewriter) const override { |
63 | auto srcType = op.getSourceVectorType(); |
64 | auto dstType = op.getDestVectorType(); |
65 | |
66 | if (op.getOffsets().getValue().empty()) |
67 | return failure(); |
68 | |
69 | auto loc = op.getLoc(); |
70 | int64_t rankDiff = dstType.getRank() - srcType.getRank(); |
71 | assert(rankDiff >= 0); |
72 | if (rankDiff == 0) |
73 | return failure(); |
74 | |
75 | int64_t rankRest = dstType.getRank() - rankDiff; |
76 | // Extract / insert the subvector of matching rank and InsertStridedSlice |
77 | // on it. |
78 | Value = rewriter.create<ExtractOp>( |
79 | loc, op.getDest(), |
80 | getI64SubArray(op.getOffsets(), /*dropFront=*/0, |
81 | /*dropBack=*/rankRest)); |
82 | |
83 | // A different pattern will kick in for InsertStridedSlice with matching |
84 | // ranks. |
85 | auto stridedSliceInnerOp = rewriter.create<InsertStridedSliceOp>( |
86 | loc, op.getSource(), extracted, |
87 | getI64SubArray(op.getOffsets(), /*dropFront=*/rankDiff), |
88 | getI64SubArray(op.getStrides(), /*dropFront=*/0)); |
89 | |
90 | rewriter.replaceOpWithNewOp<InsertOp>( |
91 | op, stridedSliceInnerOp.getResult(), op.getDest(), |
92 | getI64SubArray(op.getOffsets(), /*dropFront=*/0, |
93 | /*dropBack=*/rankRest)); |
94 | return success(); |
95 | } |
96 | }; |
97 | |
98 | /// RewritePattern for InsertStridedSliceOp where source and destination vectors |
99 | /// have the same rank. For each outermost index in the slice: |
100 | /// begin end stride |
101 | /// [offset : offset+size*stride : stride] |
102 | /// 1. ExtractOp one (k-1)-D source subvector and one (n-1)-D dest subvector. |
103 | /// 2. InsertStridedSlice (k-1)-D into (n-1)-D |
104 | /// 3. the destination subvector is inserted back in the proper place |
105 | /// 3. InsertOp that is the reverse of 1. |
106 | class ConvertSameRankInsertStridedSliceIntoShuffle |
107 | : public OpRewritePattern<InsertStridedSliceOp> { |
108 | public: |
109 | using OpRewritePattern<InsertStridedSliceOp>::OpRewritePattern; |
110 | |
111 | void initialize() { |
112 | // This pattern creates recursive InsertStridedSliceOp, but the recursion is |
113 | // bounded as the rank is strictly decreasing. |
114 | setHasBoundedRewriteRecursion(); |
115 | } |
116 | |
117 | LogicalResult matchAndRewrite(InsertStridedSliceOp op, |
118 | PatternRewriter &rewriter) const override { |
119 | auto srcType = op.getSourceVectorType(); |
120 | auto dstType = op.getDestVectorType(); |
121 | |
122 | if (op.getOffsets().getValue().empty()) |
123 | return failure(); |
124 | |
125 | int64_t srcRank = srcType.getRank(); |
126 | int64_t dstRank = dstType.getRank(); |
127 | assert(dstRank >= srcRank); |
128 | if (dstRank != srcRank) |
129 | return failure(); |
130 | |
131 | if (srcType == dstType) { |
132 | rewriter.replaceOp(op, op.getSource()); |
133 | return success(); |
134 | } |
135 | |
136 | int64_t offset = |
137 | cast<IntegerAttr>(op.getOffsets().getValue().front()).getInt(); |
138 | int64_t size = srcType.getShape().front(); |
139 | int64_t stride = |
140 | cast<IntegerAttr>(op.getStrides().getValue().front()).getInt(); |
141 | |
142 | auto loc = op.getLoc(); |
143 | Value res = op.getDest(); |
144 | |
145 | if (srcRank == 1) { |
146 | int nSrc = srcType.getShape().front(); |
147 | int nDest = dstType.getShape().front(); |
148 | // 1. Scale source to destType so we can shufflevector them together. |
149 | SmallVector<int64_t> offsets(nDest, 0); |
150 | for (int64_t i = 0; i < nSrc; ++i) |
151 | offsets[i] = i; |
152 | Value scaledSource = rewriter.create<ShuffleOp>(loc, op.getSource(), |
153 | op.getSource(), offsets); |
154 | |
155 | // 2. Create a mask where we take the value from scaledSource of dest |
156 | // depending on the offset. |
157 | offsets.clear(); |
158 | for (int64_t i = 0, e = offset + size * stride; i < nDest; ++i) { |
159 | if (i < offset || i >= e || (i - offset) % stride != 0) |
160 | offsets.push_back(Elt: nDest + i); |
161 | else |
162 | offsets.push_back(Elt: (i - offset) / stride); |
163 | } |
164 | |
165 | // 3. Replace with a ShuffleOp. |
166 | rewriter.replaceOpWithNewOp<ShuffleOp>(op, scaledSource, op.getDest(), |
167 | offsets); |
168 | |
169 | return success(); |
170 | } |
171 | |
172 | // For each slice of the source vector along the most major dimension. |
173 | for (int64_t off = offset, e = offset + size * stride, idx = 0; off < e; |
174 | off += stride, ++idx) { |
175 | // 1. extract the proper subvector (or element) from source |
176 | Value = extractOne(rewriter, loc, op.getSource(), idx); |
177 | if (isa<VectorType>(Val: extractedSource.getType())) { |
178 | // 2. If we have a vector, extract the proper subvector from destination |
179 | // Otherwise we are at the element level and no need to recurse. |
180 | Value = extractOne(rewriter, loc, op.getDest(), off); |
181 | // 3. Reduce the problem to lowering a new InsertStridedSlice op with |
182 | // smaller rank. |
183 | extractedSource = rewriter.create<InsertStridedSliceOp>( |
184 | loc, extractedSource, extractedDest, |
185 | getI64SubArray(op.getOffsets(), /* dropFront=*/1), |
186 | getI64SubArray(op.getStrides(), /* dropFront=*/1)); |
187 | } |
188 | // 4. Insert the extractedSource into the res vector. |
189 | res = insertOne(rewriter, loc, extractedSource, res, off); |
190 | } |
191 | |
192 | rewriter.replaceOp(op, res); |
193 | return success(); |
194 | } |
195 | }; |
196 | |
197 | /// RewritePattern for ExtractStridedSliceOp where source and destination |
198 | /// vectors are 1-D. For such cases, we can lower it to a ShuffleOp. |
199 | class |
200 | : public OpRewritePattern<ExtractStridedSliceOp> { |
201 | public: |
202 | using OpRewritePattern<ExtractStridedSliceOp>::OpRewritePattern; |
203 | |
204 | LogicalResult matchAndRewrite(ExtractStridedSliceOp op, |
205 | PatternRewriter &rewriter) const override { |
206 | auto dstType = op.getType(); |
207 | |
208 | assert(!op.getOffsets().getValue().empty() && "Unexpected empty offsets" ); |
209 | |
210 | int64_t offset = |
211 | cast<IntegerAttr>(op.getOffsets().getValue().front()).getInt(); |
212 | int64_t size = cast<IntegerAttr>(op.getSizes().getValue().front()).getInt(); |
213 | int64_t stride = |
214 | cast<IntegerAttr>(op.getStrides().getValue().front()).getInt(); |
215 | |
216 | assert(dstType.getElementType().isSignlessIntOrIndexOrFloat()); |
217 | |
218 | // Single offset can be more efficiently shuffled. |
219 | if (op.getOffsets().getValue().size() != 1) |
220 | return failure(); |
221 | |
222 | SmallVector<int64_t, 4> offsets; |
223 | offsets.reserve(N: size); |
224 | for (int64_t off = offset, e = offset + size * stride; off < e; |
225 | off += stride) |
226 | offsets.push_back(Elt: off); |
227 | rewriter.replaceOpWithNewOp<ShuffleOp>(op, dstType, op.getVector(), |
228 | op.getVector(), |
229 | rewriter.getI64ArrayAttr(offsets)); |
230 | return success(); |
231 | } |
232 | }; |
233 | |
234 | /// For a 1-D ExtractStridedSlice, breaks it down into a chain of Extract ops |
235 | /// to extract each element from the source, and then a chain of Insert ops |
236 | /// to insert to the target vector. |
237 | class final |
238 | : public OpRewritePattern<ExtractStridedSliceOp> { |
239 | public: |
240 | ( |
241 | MLIRContext *context, |
242 | std::function<bool(ExtractStridedSliceOp)> controlFn, |
243 | PatternBenefit benefit) |
244 | : OpRewritePattern(context, benefit), controlFn(std::move(controlFn)) {} |
245 | |
246 | LogicalResult matchAndRewrite(ExtractStridedSliceOp op, |
247 | PatternRewriter &rewriter) const override { |
248 | if (controlFn && !controlFn(op)) |
249 | return failure(); |
250 | |
251 | // Only handle 1-D cases. |
252 | if (op.getOffsets().getValue().size() != 1) |
253 | return failure(); |
254 | |
255 | int64_t offset = |
256 | cast<IntegerAttr>(op.getOffsets().getValue().front()).getInt(); |
257 | int64_t size = cast<IntegerAttr>(op.getSizes().getValue().front()).getInt(); |
258 | int64_t stride = |
259 | cast<IntegerAttr>(op.getStrides().getValue().front()).getInt(); |
260 | |
261 | Location loc = op.getLoc(); |
262 | SmallVector<Value> elements; |
263 | elements.reserve(N: size); |
264 | for (int64_t i = offset, e = offset + size * stride; i < e; i += stride) |
265 | elements.push_back(rewriter.create<ExtractOp>(loc, op.getVector(), i)); |
266 | |
267 | Value result = rewriter.create<arith::ConstantOp>( |
268 | loc, rewriter.getZeroAttr(op.getType())); |
269 | for (int64_t i = 0; i < size; ++i) |
270 | result = rewriter.create<InsertOp>(loc, elements[i], result, i); |
271 | |
272 | rewriter.replaceOp(op, result); |
273 | return success(); |
274 | } |
275 | |
276 | private: |
277 | std::function<bool(ExtractStridedSliceOp)> ; |
278 | }; |
279 | |
280 | /// RewritePattern for ExtractStridedSliceOp where the source vector is n-D. |
281 | /// For such cases, we can rewrite it to ExtractOp/ExtractElementOp + lower |
282 | /// rank ExtractStridedSliceOp + InsertOp/InsertElementOp for the n-D case. |
283 | class |
284 | : public OpRewritePattern<ExtractStridedSliceOp> { |
285 | public: |
286 | using OpRewritePattern<ExtractStridedSliceOp>::OpRewritePattern; |
287 | |
288 | void () { |
289 | // This pattern creates recursive ExtractStridedSliceOp, but the recursion |
290 | // is bounded as the rank is strictly decreasing. |
291 | setHasBoundedRewriteRecursion(); |
292 | } |
293 | |
294 | LogicalResult matchAndRewrite(ExtractStridedSliceOp op, |
295 | PatternRewriter &rewriter) const override { |
296 | auto dstType = op.getType(); |
297 | |
298 | assert(!op.getOffsets().getValue().empty() && "Unexpected empty offsets" ); |
299 | |
300 | int64_t offset = |
301 | cast<IntegerAttr>(op.getOffsets().getValue().front()).getInt(); |
302 | int64_t size = cast<IntegerAttr>(op.getSizes().getValue().front()).getInt(); |
303 | int64_t stride = |
304 | cast<IntegerAttr>(op.getStrides().getValue().front()).getInt(); |
305 | |
306 | auto loc = op.getLoc(); |
307 | auto elemType = dstType.getElementType(); |
308 | assert(elemType.isSignlessIntOrIndexOrFloat()); |
309 | |
310 | // Single offset can be more efficiently shuffled. It's handled in |
311 | // Convert1DExtractStridedSliceIntoShuffle. |
312 | if (op.getOffsets().getValue().size() == 1) |
313 | return failure(); |
314 | |
315 | // Extract/insert on a lower ranked extract strided slice op. |
316 | Value zero = rewriter.create<arith::ConstantOp>( |
317 | loc, elemType, rewriter.getZeroAttr(elemType)); |
318 | Value res = rewriter.create<SplatOp>(loc, dstType, zero); |
319 | for (int64_t off = offset, e = offset + size * stride, idx = 0; off < e; |
320 | off += stride, ++idx) { |
321 | Value one = extractOne(rewriter, loc, op.getVector(), off); |
322 | Value = rewriter.create<ExtractStridedSliceOp>( |
323 | loc, one, getI64SubArray(op.getOffsets(), /* dropFront=*/1), |
324 | getI64SubArray(op.getSizes(), /* dropFront=*/1), |
325 | getI64SubArray(op.getStrides(), /* dropFront=*/1)); |
326 | res = insertOne(rewriter, loc, extracted, res, idx); |
327 | } |
328 | rewriter.replaceOp(op, res); |
329 | return success(); |
330 | } |
331 | }; |
332 | |
333 | void vector::( |
334 | RewritePatternSet &patterns, PatternBenefit benefit) { |
335 | patterns.add<DecomposeDifferentRankInsertStridedSlice, |
336 | DecomposeNDExtractStridedSlice>(arg: patterns.getContext(), args&: benefit); |
337 | } |
338 | |
339 | void vector::( |
340 | RewritePatternSet &patterns, |
341 | std::function<bool(ExtractStridedSliceOp)> controlFn, |
342 | PatternBenefit benefit) { |
343 | patterns.add<Convert1DExtractStridedSliceIntoExtractInsertChain>( |
344 | patterns.getContext(), std::move(controlFn), benefit); |
345 | } |
346 | |
347 | /// Populate the given list with patterns that convert from Vector to LLVM. |
348 | void vector::( |
349 | RewritePatternSet &patterns, PatternBenefit benefit) { |
350 | populateVectorInsertExtractStridedSliceDecompositionPatterns(patterns, |
351 | benefit); |
352 | patterns.add<ConvertSameRankInsertStridedSliceIntoShuffle, |
353 | Convert1DExtractStridedSliceIntoShuffle>(arg: patterns.getContext(), |
354 | args&: benefit); |
355 | } |
356 | |