//===- Promotion.cpp - Implementation of linalg Promotion -----------------===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// // // This file implements the linalg dialect Promotion pass. // //===----------------------------------------------------------------------===// #include "PassDetail.h" #include "mlir/Dialect/Affine/EDSC/Intrinsics.h" #include "mlir/Dialect/Linalg/EDSC/FoldedIntrinsics.h" #include "mlir/Dialect/Linalg/IR/LinalgOps.h" #include "mlir/Dialect/Linalg/IR/LinalgTypes.h" #include "mlir/Dialect/Linalg/Passes.h" #include "mlir/Dialect/Linalg/Transforms/Transforms.h" #include "mlir/Dialect/Linalg/Utils/Utils.h" #include "mlir/Dialect/LoopOps/LoopOps.h" #include "mlir/Dialect/StandardOps/EDSC/Intrinsics.h" #include "mlir/IR/AffineExpr.h" #include "mlir/IR/AffineExprVisitor.h" #include "mlir/IR/AffineMap.h" #include "mlir/Support/LLVM.h" #include "mlir/Transforms/FoldUtils.h" #include "llvm/ADT/SetVector.h" #include "llvm/Support/CommandLine.h" using namespace mlir; using namespace mlir::edsc; using namespace mlir::edsc::intrinsics; using namespace mlir::linalg; using namespace mlir::loop; using llvm::SetVector; using folded_affine_min = FoldedValueBuilder; using folded_linalg_range = FoldedValueBuilder; using folded_std_dim = FoldedValueBuilder; using folded_std_subview = FoldedValueBuilder; using folded_std_view = FoldedValueBuilder; #define DEBUG_TYPE "linalg-promotion" /// If `size` comes from an AffineMinOp and one of the dimensions of AffineMin /// is a constant then return a new value set to the smallest such constant. /// Otherwise return size. static Value extractSmallestConstantBoundingSize(OpBuilder &b, Location loc, Value size) { auto affineMinOp = dyn_cast_or_null(size.getDefiningOp()); if (!affineMinOp) return size; if (!llvm::any_of(affineMinOp.getAffineMap().getResults(), [](AffineExpr e) { return e.dyn_cast(); })) return size; int64_t minConst = std::numeric_limits::max(); for (auto e : affineMinOp.getAffineMap().getResults()) if (auto cst = e.dyn_cast()) minConst = std::min(minConst, cst.getValue()); assert(minConst != std::numeric_limits::max()); return b.create(loc, minConst); } static Value allocBuffer(Type elementType, Value size, bool dynamicBuffers, OperationFolder *folder, int64_t alignment = 0) { auto *ctx = size.getContext(); auto width = llvm::divideCeil(elementType.getIntOrFloatBitWidth(), 8); IntegerAttr alignment_attr; if (alignment) alignment_attr = IntegerAttr::get(IntegerType::get(64, ctx), alignment); if (!dynamicBuffers) if (auto cst = dyn_cast_or_null(size.getDefiningOp())) return std_alloc( MemRefType::get(width * cst.getValue(), IntegerType::get(8, ctx)), ValueRange{}, alignment_attr); Value mul = folded_std_muli(folder, folded_std_constant_index(folder, width), size); return std_alloc(MemRefType::get(-1, IntegerType::get(8, ctx)), mul, alignment_attr); } // Performs promotion of a `subView` into a local buffer of the size of the // *ranges* of the `subView`. This produces a buffer whose size may be bigger // than the actual size of the `subView` at the boundaries. // This is related to the full/partial tile problem. // Returns a PromotionInfo containing a `buffer`, `fullLocalView` and // `partialLocalView` such that: // * `buffer` is always the size of the full tile. // * `fullLocalView` is a dense contiguous view into that buffer. // * `partialLocalView` is a dense non-contiguous slice of `fullLocalView` // that corresponds to the size of `subView` and accounting for boundary // effects. // The point of the full tile buffer is that constant static tile sizes are // folded and result in a buffer type with statically known size and alignment // properties. // To account for general boundary effects, padding must be performed on the // boundary tiles. For now this is done with an unconditional `fill` op followed // by a partial `copy` op. static PromotionInfo promoteFullTileBuffer(OpBuilder &b, Location loc, SubViewOp subView, bool dynamicBuffers, int64_t alignment, OperationFolder *folder) { auto zero = folded_std_constant_index(folder, 0); auto one = folded_std_constant_index(folder, 1); auto viewType = subView.getType(); auto rank = viewType.getRank(); Value allocSize = one; SmallVector fullSizes, partialSizes; fullSizes.reserve(rank); partialSizes.reserve(rank); for (auto en : llvm::enumerate(subView.getRanges())) { auto rank = en.index(); auto rangeValue = en.value(); // Try to extract a tight constant Value size = extractSmallestConstantBoundingSize(b, loc, rangeValue.size); allocSize = folded_std_muli(folder, allocSize, size); fullSizes.push_back(size); partialSizes.push_back(folded_std_dim(folder, subView, rank)); } SmallVector dynSizes(fullSizes.size(), -1); auto buffer = allocBuffer(viewType.getElementType(), allocSize, dynamicBuffers, folder, alignment); auto fullLocalView = folded_std_view( folder, MemRefType::get(dynSizes, viewType.getElementType()), buffer, fullSizes); SmallVector zeros(fullSizes.size(), zero); SmallVector ones(fullSizes.size(), one); auto partialLocalView = folded_std_subview(folder, fullLocalView, zeros, partialSizes, ones); return PromotionInfo{buffer, fullLocalView, partialLocalView}; } SmallVector mlir::linalg::promoteSubViews(OpBuilder &b, Location loc, ArrayRef subViews, bool dynamicBuffers, int64_t alignment, OperationFolder *folder) { if (subViews.empty()) return {}; ScopedContext scope(b, loc); SmallVector res; res.reserve(subViews.size()); DenseMap promotionInfoMap; for (auto v : subViews) { SubViewOp subView = cast(v.getDefiningOp()); auto promotionInfo = promoteFullTileBuffer(b, loc, subView, dynamicBuffers, alignment, folder); promotionInfoMap.insert(std::make_pair(subView.getResult(), promotionInfo)); res.push_back(promotionInfo); } for (auto v : subViews) { SubViewOp subView = cast(v.getDefiningOp()); auto info = promotionInfoMap.find(v); if (info == promotionInfoMap.end()) continue; Value fillVal; if (auto t = subView.getType().getElementType().dyn_cast()) fillVal = folded_std_constant(folder, FloatAttr::get(t, 0.0)); else if (auto t = subView.getType().getElementType().dyn_cast()) fillVal = folded_std_constant_int(folder, 0, t); // TODO(ntv): fill is only necessary if `promotionInfo` has a full local // view that is different from the partial local view and we are on the // boundary. linalg_fill(info->second.fullLocalView, fillVal); } for (auto v : subViews) { auto info = promotionInfoMap.find(v); if (info == promotionInfoMap.end()) continue; linalg_copy(cast(v.getDefiningOp()), info->second.partialLocalView); } return res; } LinalgOp mlir::linalg::promoteSubViewOperands(OpBuilder &b, LinalgOp op, SetVector subViews, bool dynamicBuffers, int64_t alignment, OperationFolder *folder) { assert(op.hasBufferSemantics() && "expected linalg op with buffer semantics"); if (auto convOp = dyn_cast(op.getOperation())) { // TODO(ntv): add a level of indirection to linalg.generic. if (convOp.padding()) llvm_unreachable("Unexpected conv with padding"); } // 1. Promote the specified views and use them in the new op. ScopedContext scope(b, op.getLoc()); auto promotedBufferAndViews = promoteSubViews(b, op.getLoc(), subViews.getArrayRef(), dynamicBuffers, alignment, folder); SmallVector opViews; opViews.reserve(op.getNumInputsAndOutputs()); SmallVector, 8> writebackViews; writebackViews.reserve(subViews.size()); unsigned promotedIdx = 0; for (auto view : op.getInputsAndOutputBuffers()) { if (subViews.count(view) != 0) { opViews.push_back(promotedBufferAndViews[promotedIdx].fullLocalView); writebackViews.emplace_back(std::make_pair( view, promotedBufferAndViews[promotedIdx].partialLocalView)); promotedIdx++; } else { opViews.push_back(view); } } // 2. Append all other operands as they appear, this enforces that such // operands are not views. This is to support cases such as FillOp taking // extra scalars etc. auto operands = getAssumedNonViewOperands(op); opViews.append(operands.begin(), operands.end()); LinalgOp res = op.clone(b, op.getLoc(), opViews); // 3. Emit write-back for the promoted output views: copy the partial view. for (auto viewAndPartialLocalView : writebackViews) { // WARNING: MUST use the old op to determine whether the operand view is an // output. bool isOutput = op.getIndexOfOutputBuffer(viewAndPartialLocalView.first).hasValue(); if (isOutput) linalg_copy(viewAndPartialLocalView.second, viewAndPartialLocalView.first); } // 4. Dealloc local buffers. for (const auto &pi : promotedBufferAndViews) std_dealloc(pi.buffer); return res; } static void promoteSubViews(FuncOp f, bool dynamicBuffers) { SmallVector toErase; OperationFolder folder(f.getContext()); f.walk([dynamicBuffers, &folder, &toErase](LinalgOp op) { if (!op.hasBufferSemantics()) return; // TODO(ntv) some heuristic here to decide what to promote. Atm only float // and integer buffers can be promoted. SetVector subViews; OpBuilder b(op); for (auto it : op.getInputsAndOutputBuffers()) if (auto sv = dyn_cast_or_null(it.getDefiningOp())) if (sv.getType().getElementType().isSignlessIntOrFloat()) subViews.insert(sv); if (!subViews.empty()) { promoteSubViewOperands(b, op, subViews, dynamicBuffers, 0, &folder); toErase.push_back(op); } }); for (auto op : toErase) op.erase(); } LogicalResult mlir::linalg::promoteSubviewsLinalgOpPrecondition( Operation *op, llvm::Optional> operandIndicesToPromote) { LinalgOp linOp = dyn_cast(op); // Transformation applies to buffers only. if (!linOp || !linOp.hasBufferSemantics()) return failure(); for (auto en : llvm::enumerate(linOp.getInputsAndOutputBuffers())) { auto sv = isa_and_nonnull(en.value().getDefiningOp()); if (sv && (!operandIndicesToPromote.hasValue() || operandIndicesToPromote->count(en.index()))) return success(); } return failure(); } namespace { struct LinalgPromotionPass : public LinalgPromotionBase { LinalgPromotionPass() = default; LinalgPromotionPass(bool dynamicBuffers) { this->dynamicBuffers = dynamicBuffers; } void runOnFunction() override { promoteSubViews(getFunction(), dynamicBuffers); } }; } // namespace std::unique_ptr> mlir::createLinalgPromotionPass(bool dynamicBuffers) { return std::make_unique(dynamicBuffers); } std::unique_ptr> mlir::createLinalgPromotionPass() { return std::make_unique(); }