| // Copyright 2024 The IREE Authors |
| // |
| // Licensed 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 "iree/compiler/GlobalOptimization/Passes.h" |
| #include "mlir/Dialect/Linalg/Transforms/Transforms.h" |
| #include "mlir/Dialect/Tensor/IR/Tensor.h" |
| #include "mlir/Transforms/GreedyPatternRewriteDriver.h" |
| |
| namespace mlir::iree_compiler::GlobalOptimization { |
| |
| #define GEN_PASS_DEF_DATALAYOUTPROPAGATIONPASS |
| #include "iree/compiler/GlobalOptimization/Passes.h.inc" |
| |
| namespace { |
| |
| struct DataLayoutPropagationPass |
| : public impl::DataLayoutPropagationPassBase<DataLayoutPropagationPass> { |
| void runOnOperation() override { |
| MLIRContext *context = &getContext(); |
| FunctionOpInterface funcOp = getOperation(); |
| |
| RewritePatternSet patterns(context); |
| linalg::populateDataLayoutPropagationPatterns( |
| patterns, [](OpOperand *opOperand) { |
| Operation *producer = opOperand->get().getDefiningOp(); |
| Operation *consumer = opOperand->getOwner(); |
| if (isa<tensor::PackOp>(consumer)) { |
| return isa<tensor::CollapseShapeOp>(producer); |
| } |
| if (isa<tensor::UnPackOp>(producer)) { |
| return isa<tensor::ExpandShapeOp>(consumer); |
| } |
| return false; |
| }); |
| if (failed(applyPatternsGreedily(funcOp, std::move(patterns)))) { |
| funcOp.emitOpError("folding patterns failed"); |
| return signalPassFailure(); |
| } |
| } |
| }; |
| |
| } // namespace |
| } // namespace mlir::iree_compiler::GlobalOptimization |