| /* Copyright 2017 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_XLA_SERVICE_HLO_PASS_INTERFACE_H_ |
| #define TENSORFLOW_COMPILER_XLA_SERVICE_HLO_PASS_INTERFACE_H_ |
| |
| #include "tensorflow/compiler/xla/service/hlo_module.h" |
| #include "tensorflow/compiler/xla/status_macros.h" |
| #include "tensorflow/compiler/xla/statusor.h" |
| #include "tensorflow/compiler/xla/types.h" |
| #include "tensorflow/core/platform/macros.h" |
| |
| namespace xla { |
| |
| // Base class for HLO passes. These are used with the HloPassPipeline to |
| // organize a sequence of passes. |
| class HloPassInterface { |
| public: |
| virtual ~HloPassInterface() = default; |
| virtual absl::string_view name() const = 0; |
| |
| // Run the pass on the given HLO module. Return whether it modified the |
| // module. |
| virtual StatusOr<bool> Run(HloModule* module) = 0; |
| }; |
| |
| } // namespace xla |
| |
| #endif // TENSORFLOW_COMPILER_XLA_SERVICE_HLO_PASS_INTERFACE_H_ |