| 1 | //===- InlineScalarOperands.cpp - Pass to inline scalar operands =============// |
| 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 patterns/pass to inline scalar operands into a generic |
| 10 | // operation. A scalar operand is an operand whose indexing map has a constant |
| 11 | // rhs. |
| 12 | // |
| 13 | //===----------------------------------------------------------------------===// |
| 14 | |
| 15 | #include "mlir/Dialect/Linalg/Passes.h" |
| 16 | |
| 17 | #include "mlir/Dialect/Arith/IR/Arith.h" |
| 18 | #include "mlir/Dialect/Func/IR/FuncOps.h" |
| 19 | #include "mlir/Dialect/Linalg/IR/Linalg.h" |
| 20 | #include "mlir/Dialect/Linalg/Transforms/Transforms.h" |
| 21 | #include "mlir/IR/AffineExpr.h" |
| 22 | #include "mlir/IR/AffineMap.h" |
| 23 | #include "mlir/Transforms/GreedyPatternRewriteDriver.h" |
| 24 | |
| 25 | namespace mlir { |
| 26 | #define GEN_PASS_DEF_LINALGINLINESCALAROPERANDSPASS |
| 27 | #include "mlir/Dialect/Linalg/Passes.h.inc" |
| 28 | } // namespace mlir |
| 29 | |
| 30 | using namespace mlir; |
| 31 | using namespace mlir::linalg; |
| 32 | |
| 33 | namespace { |
| 34 | struct InlineScalarOperands : public OpRewritePattern<GenericOp> { |
| 35 | using OpRewritePattern<GenericOp>::OpRewritePattern; |
| 36 | LogicalResult matchAndRewrite(GenericOp genericOp, |
| 37 | PatternRewriter &rewriter) const override { |
| 38 | if (!genericOp.hasPureTensorSemantics()) |
| 39 | return failure(); |
| 40 | |
| 41 | SmallVector<size_t> scalarOperands; |
| 42 | SmallVector<AffineMap> newIndexingMaps; |
| 43 | SmallVector<Value> newOperands; |
| 44 | for (OpOperand *opOperand : genericOp.getDpsInputOperands()) { |
| 45 | AffineMap map = genericOp.getMatchingIndexingMap(opOperand); |
| 46 | if (genericOp.isDpsInput(opOperand) && map.isConstant()) { |
| 47 | scalarOperands.emplace_back(opOperand->getOperandNumber()); |
| 48 | } else { |
| 49 | newIndexingMaps.emplace_back(map); |
| 50 | newOperands.emplace_back(opOperand->get()); |
| 51 | } |
| 52 | } |
| 53 | |
| 54 | if (scalarOperands.empty()) |
| 55 | return failure(); |
| 56 | |
| 57 | for (OpOperand &opOperand : genericOp.getDpsInitsMutable()) |
| 58 | newIndexingMaps.emplace_back( |
| 59 | genericOp.getMatchingIndexingMap(&opOperand)); |
| 60 | |
| 61 | Location loc = genericOp->getLoc(); |
| 62 | SmallVector<Value> outputOperands = genericOp.getOutputs(); |
| 63 | auto newOp = rewriter.create<GenericOp>( |
| 64 | loc, genericOp->getResultTypes(), newOperands, outputOperands, |
| 65 | newIndexingMaps, genericOp.getIteratorTypesArray()); |
| 66 | rewriter.cloneRegionBefore(genericOp.getRegion(), newOp.getRegion(), |
| 67 | newOp.getRegion().begin()); |
| 68 | |
| 69 | Block *body = newOp.getBody(); |
| 70 | PatternRewriter::InsertionGuard guard(rewriter); |
| 71 | rewriter.setInsertionPointToStart(body); |
| 72 | |
| 73 | for (auto idx : llvm::reverse(scalarOperands)) { |
| 74 | OpOperand *opOperand = genericOp.getDpsInputOperand(idx); |
| 75 | AffineMap map = genericOp.getMatchingIndexingMap(opOperand); |
| 76 | SmallVector<int64_t> indices = map.getConstantResults(); |
| 77 | SmallVector<Value> indicesValues; |
| 78 | for (auto idx : indices) |
| 79 | indicesValues.emplace_back( |
| 80 | rewriter.create<arith::ConstantIndexOp>(loc, idx)); |
| 81 | Value scalarValue = opOperand->get(); |
| 82 | if (isa<RankedTensorType>(scalarValue.getType())) { |
| 83 | scalarValue = |
| 84 | rewriter.create<tensor::ExtractOp>(loc, scalarValue, indicesValues); |
| 85 | } |
| 86 | body->getArgument(idx).replaceAllUsesWith(scalarValue); |
| 87 | body->eraseArgument(idx); |
| 88 | } |
| 89 | |
| 90 | rewriter.replaceOp(genericOp, newOp->getResults()); |
| 91 | return success(); |
| 92 | } |
| 93 | }; |
| 94 | } // namespace |
| 95 | |
| 96 | /// Patterns that are used to inline constant operands into linalg generic |
| 97 | /// ops. |
| 98 | void mlir::linalg::populateInlineConstantOperandsPatterns( |
| 99 | RewritePatternSet &patterns) { |
| 100 | auto *context = patterns.getContext(); |
| 101 | patterns.add<InlineScalarOperands>(arg&: context); |
| 102 | } |
| 103 | |
| 104 | namespace { |
| 105 | /// Pass that removes unit-extent dims within generic ops. |
| 106 | struct LinalgInlineScalarOperandsPass |
| 107 | : public impl::LinalgInlineScalarOperandsPassBase< |
| 108 | LinalgInlineScalarOperandsPass> { |
| 109 | using impl::LinalgInlineScalarOperandsPassBase< |
| 110 | LinalgInlineScalarOperandsPass>::LinalgInlineScalarOperandsPassBase; |
| 111 | void runOnOperation() override { |
| 112 | Operation *op = getOperation(); |
| 113 | MLIRContext &ctx = getContext(); |
| 114 | RewritePatternSet patterns(&ctx); |
| 115 | populateInlineConstantOperandsPatterns(patterns); |
| 116 | (void)applyPatternsGreedily(op, std::move(patterns)); |
| 117 | } |
| 118 | }; |
| 119 | } // namespace |
| 120 | |