| 1 | //===- ShardingInterfaceImpl.cpp ------------------------------------------===// |
| 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/Mesh/Interfaces/ShardingInterface.h" |
| 10 | #include "mlir/Dialect/Mesh/Interfaces/ShardingInterfaceImpl.h" |
| 11 | #include "mlir/Dialect/Tensor/IR/ShardingInterfaceImpl.h" |
| 12 | #include "mlir/Dialect/Tensor/IR/Tensor.h" |
| 13 | #include "mlir/IR/DialectRegistry.h" |
| 14 | #include "llvm/Support/Debug.h" |
| 15 | |
| 16 | #define DEBUG_TYPE "tensor-sharding-impl" |
| 17 | #define DBGS() (llvm::dbgs() << "[" DEBUG_TYPE << "]: ") |
| 18 | |
| 19 | using namespace mlir; |
| 20 | using namespace mlir::tensor; |
| 21 | using namespace mlir::mesh; |
| 22 | |
| 23 | namespace { |
| 24 | |
| 25 | // Sharding of tensor.empty/tensor.splat |
| 26 | template <typename OpTy> |
| 27 | struct CreatorOpShardingInterface |
| 28 | : public ShardingInterface::ExternalModel<CreatorOpShardingInterface<OpTy>, |
| 29 | OpTy> { |
| 30 | SmallVector<utils::IteratorType> getLoopIteratorTypes(Operation *op) const { |
| 31 | auto ndims = mlir::cast<ShapedType>(op->getResult(0).getType()).getRank(); |
| 32 | return SmallVector<utils::IteratorType>(ndims, |
| 33 | utils::IteratorType::parallel); |
| 34 | } |
| 35 | |
| 36 | SmallVector<AffineMap> getIndexingMaps(Operation *op) const { |
| 37 | MLIRContext *ctx = op->getContext(); |
| 38 | Value val = op->getResult(idx: 0); |
| 39 | auto type = dyn_cast<RankedTensorType>(val.getType()); |
| 40 | if (!type) |
| 41 | return {}; |
| 42 | return SmallVector<AffineMap>( |
| 43 | op->getNumOperands() + op->getNumResults(), |
| 44 | {AffineMap::getMultiDimIdentityMap(numDims: type.getRank(), context: ctx)}); |
| 45 | } |
| 46 | |
| 47 | LogicalResult spmdize(Operation *op, ArrayRef<Value> spmdizedOperands, |
| 48 | ArrayRef<MeshSharding> operandShardings, |
| 49 | ArrayRef<MeshSharding> resultShardings, |
| 50 | IRMapping &spmdizationMap, |
| 51 | SymbolTableCollection &symbolTable, |
| 52 | OpBuilder &builder) const { |
| 53 | assert(resultShardings.size() == 1); |
| 54 | auto resType = cast<RankedTensorType>(op->getResult(idx: 0).getType()); |
| 55 | mlir::mesh::MeshOp mesh; |
| 56 | ShapedType shardType; |
| 57 | if (resType.getRank() > 0) { |
| 58 | mesh = mesh::getMesh(op, resultShardings[0].getMeshAttr(), symbolTable); |
| 59 | shardType = |
| 60 | cast<ShapedType>(mesh::shardType(resType, mesh, resultShardings[0])); |
| 61 | } else { |
| 62 | shardType = resType; |
| 63 | } |
| 64 | Operation *newOp = nullptr; |
| 65 | // if the sharding introduces a new dynamic dimension, we take it from |
| 66 | // the dynamic sharding info. For now bail out if it's not |
| 67 | // provided. |
| 68 | if (!shardType.hasStaticShape()) { |
| 69 | assert(op->getResult(0).hasOneUse()); |
| 70 | SmallVector<Value> newOperands; |
| 71 | auto oldType = cast<ShapedType>(resType); |
| 72 | assert(oldType.getRank() == shardType.getRank()); |
| 73 | int currOldOprndNum = -1; |
| 74 | mesh::ShardShapeOp shapeForDevice; |
| 75 | ValueRange device; |
| 76 | Operation *newSharding = nullptr; |
| 77 | for (auto i = 0; i < oldType.getRank(); ++i) { |
| 78 | if (!oldType.isDynamicDim(i) && shardType.isDynamicDim(i)) { |
| 79 | if (!newSharding) { |
| 80 | newSharding = |
| 81 | builder.create<ShardingOp>(op->getLoc(), resultShardings[0]); |
| 82 | device = |
| 83 | builder.create<mesh::ProcessMultiIndexOp>(op->getLoc(), mesh) |
| 84 | .getResults(); |
| 85 | shapeForDevice = builder.create<mesh::ShardShapeOp>( |
| 86 | op->getLoc(), oldType.getShape(), spmdizedOperands, |
| 87 | newSharding->getResult(0), device); |
| 88 | } |
| 89 | newOperands.emplace_back(shapeForDevice.getResult()[i]); |
| 90 | } else if (oldType.isDynamicDim(i)) { |
| 91 | assert(shardType.isDynamicDim(i)); |
| 92 | newOperands.emplace_back(Args: spmdizedOperands[++currOldOprndNum]); |
| 93 | } |
| 94 | } |
| 95 | newOp = builder.create<OpTy>(op->getLoc(), shardType, newOperands); |
| 96 | spmdizationMap.map(from: op->getResult(idx: 0), to: newOp->getResult(idx: 0)); |
| 97 | } else { |
| 98 | // `clone` will populate the mapping of old to new results. |
| 99 | newOp = builder.clone(op&: *op, mapper&: spmdizationMap); |
| 100 | } |
| 101 | newOp->getResult(idx: 0).setType(shardType); |
| 102 | |
| 103 | return success(); |
| 104 | } |
| 105 | }; |
| 106 | } // namespace |
| 107 | |
| 108 | void mlir::tensor::registerShardingInterfaceExternalModels( |
| 109 | DialectRegistry ®istry) { |
| 110 | |
| 111 | registry.addExtension(extensionFn: +[](MLIRContext *ctx, TensorDialect *dialect) { |
| 112 | EmptyOp::template attachInterface<CreatorOpShardingInterface<EmptyOp>>( |
| 113 | *ctx); |
| 114 | SplatOp::template attachInterface<CreatorOpShardingInterface<SplatOp>>( |
| 115 | *ctx); |
| 116 | }); |
| 117 | } |
| 118 | |