1 | /* Copyright 2022 The TensorFlow Authors. All Rights Reserved. |
---|---|
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | |
16 | #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project |
17 | #include "mlir/IR/Builders.h" // from @llvm-project |
18 | #include "mlir/IR/Operation.h" // from @llvm-project |
19 | #include "mlir/Interfaces/SideEffectInterfaces.h" // from @llvm-project |
20 | #include "mlir/Support/LogicalResult.h" // from @llvm-project |
21 | #include "mlir/Transforms/Passes.h" // from @llvm-project |
22 | #include "tensorflow/dtensor/mlir/dtensor_mlir_passes.h" |
23 | |
24 | namespace tensorflow { |
25 | namespace dtensor { |
26 | |
27 | namespace { |
28 | #define GEN_PASS_DEF_DTENSORDCE |
29 | #include "tensorflow/dtensor/mlir/dtensor_passes.h.inc" |
30 | |
31 | // MLIR pass that removes trivially unused operations in graph. |
32 | struct DTensorDCE : public impl::DTensorDCEBase<DTensorDCE> { |
33 | void runOnOperation() override { |
34 | mlir::MLIRContext& context = getContext(); |
35 | mlir::OpBuilder builder(&context); |
36 | getOperation().walk([](mlir::Operation* op) { |
37 | if (mlir::isOpTriviallyDead(op)) op->erase(); |
38 | }); |
39 | } |
40 | }; |
41 | |
42 | } // namespace |
43 | |
44 | std::unique_ptr<mlir::OperationPass<mlir::func::FuncOp>> CreateDTensorDCE() { |
45 | return std::make_unique<DTensorDCE>(); |
46 | } |
47 | |
48 | } // namespace dtensor |
49 | } // namespace tensorflow |
50 |