| /* 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_CALL_INLINER_H_ |
| #define TENSORFLOW_COMPILER_XLA_SERVICE_CALL_INLINER_H_ |
| |
| #include <deque> |
| |
| #include "tensorflow/compiler/xla/service/hlo_pass_interface.h" |
| #include "tensorflow/compiler/xla/statusor.h" |
| |
| namespace xla { |
| |
| // For every kCall operation in the main computation, we inline the body of the |
| // called function, and proceed recursively. |
| class CallInliner : public HloPassInterface { |
| public: |
| using InlinedInstructionMap = |
| std::unordered_map<HloInstruction*, HloInstruction*>; |
| |
| // Inlines one call instruction. Returns a mapping from the original |
| // instructions to their inlined versions. |
| static StatusOr<InlinedInstructionMap> Inline(HloInstruction* call); |
| |
| ~CallInliner() override = default; |
| absl::string_view name() const override { return "CallInliner"; } |
| |
| StatusOr<bool> Run(HloModule* module) override; |
| }; |
| |
| } // namespace xla |
| |
| #endif // TENSORFLOW_COMPILER_XLA_SERVICE_CALL_INLINER_H_ |