| // Copyright 2022 The TensorFlow Runtime Authors |
| // |
| // 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_TFRT_TRANSFORMS_LMHLO_TO_GPU_LMHLO_TO_JITRT_H_ |
| #define TENSORFLOW_COMPILER_MLIR_TFRT_TRANSFORMS_LMHLO_TO_GPU_LMHLO_TO_JITRT_H_ |
| |
| #include <memory> |
| |
| #include "mlir/Dialect/Func/IR/FuncOps.h" |
| #include "mlir/IR/BuiltinOps.h" |
| #include "mlir/Pass/Pass.h" |
| |
| namespace tensorflow { |
| |
| std::unique_ptr<mlir::OperationPass<mlir::ModuleOp>> |
| createConvertGpuBinaryToJitRtPass(); |
| |
| std::unique_ptr<mlir::OperationPass<mlir::ModuleOp>> |
| createConvertLmhloGpuToJitRtPass(); |
| |
| void registerLmhloToJitRtPasses(); |
| |
| // Passes to lower from the lmhlo to the JitRt compatible program. |
| void populateLmhloToJitRtPasses(mlir::OpPassManager &pm); |
| |
| } // namespace tensorflow |
| |
| #endif // TENSORFLOW_COMPILER_MLIR_TFRT_TRANSFORMS_LMHLO_TO_GPU_LMHLO_TO_JITRT_H_ |
