| 1 | //===- ExpandDivs.cpp - Expansion patterns for MemRef operations ----------===// |
| 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/Arith/Transforms/Passes.h" |
| 11 | #include "mlir/Dialect/MemRef/IR/MemRef.h" |
| 12 | #include "mlir/Dialect/MemRef/Transforms/Transforms.h" |
| 13 | #include "mlir/IR/TypeUtilities.h" |
| 14 | #include "mlir/Transforms/DialectConversion.h" |
| 15 | |
| 16 | namespace mlir { |
| 17 | namespace memref { |
| 18 | #define GEN_PASS_DEF_EXPANDOPSPASS |
| 19 | #include "mlir/Dialect/MemRef/Transforms/Passes.h.inc" |
| 20 | } // namespace memref |
| 21 | } // namespace mlir |
| 22 | |
| 23 | using namespace mlir; |
| 24 | |
| 25 | namespace { |
| 26 | |
| 27 | /// Converts `memref.reshape` that has a target shape of a statically-known |
| 28 | /// size to `memref.reinterpret_cast`. |
| 29 | struct MemRefReshapeOpConverter : public OpRewritePattern<memref::ReshapeOp> { |
| 30 | public: |
| 31 | using OpRewritePattern::OpRewritePattern; |
| 32 | |
| 33 | LogicalResult matchAndRewrite(memref::ReshapeOp op, |
| 34 | PatternRewriter &rewriter) const final { |
| 35 | auto shapeType = cast<MemRefType>(Val: op.getShape().getType()); |
| 36 | if (!shapeType.hasStaticShape()) |
| 37 | return failure(); |
| 38 | |
| 39 | int64_t rank = cast<MemRefType>(Val&: shapeType).getDimSize(idx: 0); |
| 40 | SmallVector<OpFoldResult, 4> sizes, strides; |
| 41 | sizes.resize(N: rank); |
| 42 | strides.resize(N: rank); |
| 43 | |
| 44 | Location loc = op.getLoc(); |
| 45 | Value stride = nullptr; |
| 46 | int64_t staticStride = 1; |
| 47 | for (int i = rank - 1; i >= 0; --i) { |
| 48 | Value size; |
| 49 | // Load dynamic sizes from the shape input, use constants for static dims. |
| 50 | if (op.getType().isDynamicDim(idx: i)) { |
| 51 | Value index = rewriter.create<arith::ConstantIndexOp>(location: loc, args&: i); |
| 52 | size = rewriter.create<memref::LoadOp>(location: loc, args: op.getShape(), args&: index); |
| 53 | if (!isa<IndexType>(Val: size.getType())) |
| 54 | size = rewriter.create<arith::IndexCastOp>( |
| 55 | location: loc, args: rewriter.getIndexType(), args&: size); |
| 56 | sizes[i] = size; |
| 57 | } else { |
| 58 | auto sizeAttr = rewriter.getIndexAttr(value: op.getType().getDimSize(idx: i)); |
| 59 | size = rewriter.create<arith::ConstantOp>(location: loc, args&: sizeAttr); |
| 60 | sizes[i] = sizeAttr; |
| 61 | } |
| 62 | if (stride) |
| 63 | strides[i] = stride; |
| 64 | else |
| 65 | strides[i] = rewriter.getIndexAttr(value: staticStride); |
| 66 | |
| 67 | if (i > 0) { |
| 68 | if (stride) { |
| 69 | stride = rewriter.create<arith::MulIOp>(location: loc, args&: stride, args&: size); |
| 70 | } else if (op.getType().isDynamicDim(idx: i)) { |
| 71 | stride = rewriter.create<arith::MulIOp>( |
| 72 | location: loc, args: rewriter.create<arith::ConstantIndexOp>(location: loc, args&: staticStride), |
| 73 | args&: size); |
| 74 | } else { |
| 75 | staticStride *= op.getType().getDimSize(idx: i); |
| 76 | } |
| 77 | } |
| 78 | } |
| 79 | rewriter.replaceOpWithNewOp<memref::ReinterpretCastOp>( |
| 80 | op, args: op.getType(), args: op.getSource(), /*offset=*/args: rewriter.getIndexAttr(value: 0), |
| 81 | args&: sizes, args&: strides); |
| 82 | return success(); |
| 83 | } |
| 84 | }; |
| 85 | |
| 86 | struct ExpandOpsPass : public memref::impl::ExpandOpsPassBase<ExpandOpsPass> { |
| 87 | void runOnOperation() override { |
| 88 | MLIRContext &ctx = getContext(); |
| 89 | |
| 90 | RewritePatternSet patterns(&ctx); |
| 91 | memref::populateExpandOpsPatterns(patterns); |
| 92 | ConversionTarget target(ctx); |
| 93 | |
| 94 | target.addLegalDialect<arith::ArithDialect, memref::MemRefDialect>(); |
| 95 | target.addDynamicallyLegalOp<memref::ReshapeOp>(callback: [](memref::ReshapeOp op) { |
| 96 | return !cast<MemRefType>(Val: op.getShape().getType()).hasStaticShape(); |
| 97 | }); |
| 98 | if (failed(Result: applyPartialConversion(op: getOperation(), target, |
| 99 | patterns: std::move(patterns)))) |
| 100 | signalPassFailure(); |
| 101 | } |
| 102 | }; |
| 103 | |
| 104 | } // namespace |
| 105 | |
| 106 | void mlir::memref::populateExpandOpsPatterns(RewritePatternSet &patterns) { |
| 107 | patterns.add<MemRefReshapeOpConverter>(arg: patterns.getContext()); |
| 108 | } |
| 109 | |