| /* Copyright 2021 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h" |
| #include "tensorflow/compiler/mlir/tensorflow/transforms/passes_detail.h" |
| |
| namespace mlir { |
| namespace TF { |
| |
| namespace { |
| |
| // This tranformation pass strips any "_noinline" attributes from the module. |
| struct StripNoinlineAttributePass |
| : public StripNoinlineAttributePassBase<StripNoinlineAttributePass> { |
| public: |
| // void runOnOperation() override; |
| void runOnOperation() override { |
| // Strip the "tf._noinline" attribute from top-level functions. |
| for (auto func_op : getOperation().getOps<func::FuncOp>()) |
| func_op->removeAttr("tf._noinline"); |
| } |
| }; |
| |
| } // namespace |
| |
| std::unique_ptr<OperationPass<ModuleOp>> CreateStripNoinlineAttributePass() { |
| return std::make_unique<StripNoinlineAttributePass>(); |
| } |
| |
| } // namespace TF |
| } // namespace mlir |