//===- EmptyTensorElimination.cpp - tensor.empty op elimination -----------===// // // 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 // //===----------------------------------------------------------------------===// #include "mlir/Dialect/Linalg/Transforms/Transforms.h" #include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h" #include "mlir/Dialect/Bufferization/Transforms/OneShotAnalysis.h" #include "mlir/Dialect/Bufferization/Transforms/Transforms.h" #include "mlir/Dialect/Linalg/IR/Linalg.h" #include "mlir/Dialect/Tensor/IR/Tensor.h" using namespace mlir; using namespace mlir::bufferization; using namespace mlir::linalg; /// Get an output operand that matches the given input operand and can be used /// to eliminate a tensor.empty op. static OpOperand *getUnusedOutOperand(LinalgOp op, OpOperand *in) { for (OpOperand &operand : op.getDpsInitsMutable()) { // Operand must be unused. if (op.payloadUsesValueFromOperand(&operand)) continue; // Types must match. if (operand.get().getType() != in->get().getType()) continue; // Indexing maps must match. if (op.getMatchingIndexingMap(&operand) != op.getMatchingIndexingMap(in)) continue; return &operand; } return nullptr; } LogicalResult linalg::linalgOpAnchoredEmptyTensorEliminationStep( RewriterBase &rewriter, Operation *op, OneShotAnalysisState &state) { OpBuilder::InsertionGuard g(rewriter); DominanceInfo domInfo; op->walk([&](LinalgOp op) { // Only ops with all "parallel" iterator types are supported. if (op.getNumParallelLoops() != op.getNumLoops()) return WalkResult::skip(); for (OpOperand *in : op.getDpsInputOperands()) { // Skip non-tensor operands. if (!isa(in->get().getType())) continue; // Find tensor.empty ops on the reverse SSA use-def chain. Only follow // equivalent tensors. I.e., stop when there are ops such as extract_slice // on the path. TraversalConfig config; config.followEquivalentOnly = true; config.alwaysIncludeLeaves = false; SetVector emptyTensors = state.findValueInReverseUseDefChain( in, /*condition=*/ [&](Value val) { return val.getDefiningOp() && val.getType() == in->get().getType(); }, config); if (emptyTensors.empty()) continue; // Find matching out operand. OpOperand *out = getUnusedOutOperand(op, in); if (!out) continue; // Check if this transform would violate dominance. if (!llvm::all_of(emptyTensors, [&](Value v) { return domInfo.properlyDominates(out->get(), v.getDefiningOp()); })) continue; // Replace all uses of the tensor.empty, but do not delete it yet. It will // fold away later (to not invalidate DominanceInfo). for (Value v : emptyTensors) { assert(v.getDefiningOp() && "expected tensor.empty"); rewriter.replaceAllUsesWith(v, out->get()); } // Turn the "in" into an "out". rewriter.modifyOpInPlace(op, [&]() { out->set(in->get()); // The original "in" could be removed entirely here (because it will no // longer have any uses in the payload), but we delegate this to // existing cleanup patterns that remove unused operands. in->set(emptyTensors.front()); BlockArgument outArg = op.getMatchingBlockArgument(out); assert(outArg.getUses().empty() && "expected that out has no uses"); BlockArgument inArg = op.getMatchingBlockArgument(in); rewriter.replaceAllUsesWith(inArg, outArg); assert(!op.payloadUsesValueFromOperand(in) && "expected that the in operand is now unused"); }); state.resetCache(); } return WalkResult::advance(); }); return success(); }