| /* 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. |
| ==============================================================================*/ |
| #ifndef TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_TRANSFORMS_TAC_PASS_H_ |
| #define TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_TRANSFORMS_TAC_PASS_H_ |
| |
| #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project |
| #include "mlir/Pass/Pass.h" // from @llvm-project |
| #include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/target_hardware.h" |
| #include "tensorflow/compiler/mlir/lite/experimental/tac/tac_module.h" |
| |
| namespace mlir { |
| namespace TFL { |
| namespace tac { |
| // An OperationPass<> with access to the TAC module instance that the |
| // pass is running part of. |
| // See OperationPass<> comments for all details/restrictions of OperationPass. |
| // |
| // When adding new Pass to TAC, users should use this class as the base class |
| // as it provides access to the TAC module. |
| template <typename T> |
| class TacPass : public OperationPass<T> { |
| public: |
| using OperationPass<T>::OperationPass; |
| explicit TacPass(const TacModule* module) |
| : OperationPass<T>::OperationPass(mlir::TypeID::get<T>()), |
| module_(module) {} |
| |
| ~TacPass() override {} |
| |
| const TargetHardware* GetTargetHardware(const std::string& hardware_name) { |
| return module_ != nullptr |
| ? module_->GetTargetHardware(hardware_name) |
| : mlir::TFL::tac::GetTargetHardware(hardware_name); |
| } |
| |
| protected: |
| const TacModule* module_ = nullptr; // Not owned. |
| }; |
| |
| // A FunctionPass but with access to TAC module. |
| // See FunctionPass comments for all details/restrictions of FunctionPass. |
| // |
| // When adding new Pass to TAC, users should use this class as the base class |
| // as it provides access to the TAC module. |
| template <typename T> |
| class TacFunctionPass : public TacPass<func::FuncOp> { |
| public: |
| using TacPass<func::FuncOp>::TacPass; |
| |
| ~TacFunctionPass() override {} |
| |
| mlir::func::FuncOp getFunction() { return getOperation(); } |
| |
| virtual void runOnFunction() = 0; |
| |
| void runOnOperation() final { |
| if (!getFunction().isExternal()) runOnFunction(); |
| } |
| |
| protected: |
| // Returns the derived pass name. |
| StringRef getName() const override { return llvm::getTypeName<T>(); } |
| |
| // A clone method to create a copy of this pass. |
| std::unique_ptr<Pass> clonePass() const override { |
| return std::make_unique<T>(*static_cast<const T*>(this)); |
| } |
| }; |
| |
| } // namespace tac |
| } // namespace TFL |
| } // namespace mlir |
| |
| #endif // TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_TRANSFORMS_TAC_PASS_H_ |