| 1 | //===- TensorToLinalgPass.cpp - Tensor to Linalg Passes -------------------===// |
|---|---|
| 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 a pass to convert Tensor dialect to Linalg dialect. |
| 10 | // |
| 11 | //===----------------------------------------------------------------------===// |
| 12 | |
| 13 | #include "mlir/Conversion/TensorToLinalg/TensorToLinalgPass.h" |
| 14 | |
| 15 | #include "mlir/Conversion/TensorToLinalg/TensorToLinalg.h" |
| 16 | #include "mlir/Dialect/Arith/IR/Arith.h" |
| 17 | #include "mlir/Dialect/Linalg/IR/Linalg.h" |
| 18 | #include "mlir/Dialect/Tensor/IR/Tensor.h" |
| 19 | |
| 20 | namespace mlir { |
| 21 | #define GEN_PASS_DEF_CONVERTTENSORTOLINALG |
| 22 | #include "mlir/Conversion/Passes.h.inc" |
| 23 | } // namespace mlir |
| 24 | |
| 25 | using namespace mlir; |
| 26 | |
| 27 | namespace { |
| 28 | /// A pass converting MLIR Tensor operations into the Linalg dialect. |
| 29 | class ConvertTensorToLinalgPass |
| 30 | : public impl::ConvertTensorToLinalgBase<ConvertTensorToLinalgPass> { |
| 31 | void runOnOperation() override { |
| 32 | auto &context = getContext(); |
| 33 | ConversionTarget target(context); |
| 34 | target |
| 35 | .addLegalDialect<mlir::arith::ArithDialect, mlir::linalg::LinalgDialect, |
| 36 | mlir::tensor::TensorDialect>(); |
| 37 | target.addIllegalOp<mlir::tensor::PadOp>(); |
| 38 | |
| 39 | RewritePatternSet patterns(&context); |
| 40 | populateTensorToLinalgPatterns(patterns); |
| 41 | |
| 42 | if (failed(applyPartialConversion(getOperation(), target, |
| 43 | std::move(patterns)))) |
| 44 | return signalPassFailure(); |
| 45 | } |
| 46 | }; |
| 47 | } // namespace |
| 48 | |
| 49 | std::unique_ptr<OperationPass<ModuleOp>> |
| 50 | mlir::createConvertTensorToLinalgPass() { |
| 51 | return std::make_unique<ConvertTensorToLinalgPass>(); |
| 52 | } |
| 53 |